diff --git a/404.html b/404.html
index 5bc862c..9e8c8c7 100644
--- a/404.html
+++ b/404.html
@@ -8,8 +8,8 @@
 <title>Page not found (404) • gh</title>
 <script src="https://gh.r-lib.org/deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="https://gh.r-lib.org/deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
-<script src="https://gh.r-lib.org/deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="https://gh.r-lib.org/deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet">
-<link href="https://gh.r-lib.org/deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet">
+<script src="https://gh.r-lib.org/deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="https://gh.r-lib.org/deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet">
+<link href="https://gh.r-lib.org/deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet">
 <!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
 <!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="https://gh.r-lib.org/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
@@ -81,7 +81,7 @@
   <footer><div class="container">
   <div class="pkgdown-footer-left">
   <p></p>
-<p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+<p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index 90b2f55..14b3904 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • gh</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • gh</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
@@ -83,7 +83,7 @@ <h2 id="scope">Scope<a class="anchor" aria-label="anchor" href="#scope"></a></h2
 </div>
 <div class="section level2">
 <h2 id="enforcement">Enforcement<a class="anchor" aria-label="anchor" href="#enforcement"></a></h2>
-<p>Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at <a href="mailto:codeofconduct@rstudio.com" class="email">codeofconduct@rstudio.com</a>. All complaints will be reviewed and investigated promptly and fairly.</p>
+<p>Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at <a href="mailto:codeofconduct@posit.co" class="email">codeofconduct@posit.co</a>. All complaints will be reviewed and investigated promptly and fairly.</p>
 <p>All community leaders are obligated to respect the privacy and security of the reporter of any incident.</p>
 </div>
 <div class="section level2">
@@ -125,7 +125,7 @@ <h2 id="attribution">Attribution<a class="anchor" aria-label="anchor" href="#att
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/LICENSE-text.html b/LICENSE-text.html
index adf7fb9..2ec1553 100644
--- a/LICENSE-text.html
+++ b/LICENSE-text.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • gh</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • gh</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
@@ -50,8 +50,8 @@
       
     </div>
 
-<pre>YEAR: 2015-2020
-COPYRIGHT HOLDER: Gábor Csárdi, Jennifer Bryan, Hadley Wickham
+<pre>YEAR: 2023
+COPYRIGHT HOLDER: gh authors
 </pre>
 
   </main></div>
@@ -60,7 +60,7 @@
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/LICENSE.html b/LICENSE.html
new file mode 100644
index 0000000..3d194ce
--- /dev/null
+++ b/LICENSE.html
@@ -0,0 +1,75 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>MIT License • gh</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="MIT License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
+    <a href="#container" class="visually-hidden-focusable">Skip to content</a>
+    
+
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-none"><div class="container">
+    
+    <a class="navbar-brand me-2" href="index.html">gh</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">1.4.0</small>
+
+    
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item">
+  <a class="nav-link" href="reference/index.html">Reference</a>
+</li>
+<li class="nav-item dropdown">
+  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
+  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
+    <a class="dropdown-item" href="articles/managing-personal-access-tokens.html">Managing Personal Access Tokens</a>
+  </div>
+</li>
+<li class="nav-item">
+  <a class="nav-link" href="news/index.html">Changelog</a>
+</li>
+      </ul><form class="form-inline my-2 my-lg-0" role="search">
+        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
+
+      <ul class="navbar-nav"><li class="nav-item">
+  <a class="external-link nav-link" href="https://github.com/r-lib/gh/" aria-label="github">
+    <span class="fab fa fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul></div>
+
+    
+  </div>
+</nav><div class="container template-title-body" id="container">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="" class="logo" alt=""><h1>MIT License</h1>
+      <small class="dont-index">Source: <a href="https://github.com/r-lib/gh/blob/HEAD/LICENSE.md" class="external-link"><code>LICENSE.md</code></a></small>
+    </div>
+
+<div id="mit-license" class="section level1">
+
+<p>Copyright (c) 2023 gh authors</p>
+<p>Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:</p>
+<p>The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.</p>
+<p>THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</p>
+</div>
+
+  </main></div>
+
+
+   </div>
+  <footer><div class="container">
+  <div class="pkgdown-footer-left">
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+</div>
+
+  </div></footer></body></html>
+
diff --git a/articles/index.html b/articles/index.html
index 75a2be9..493918d 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@@ -62,7 +62,7 @@ <h3>All vignettes</h3>
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
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diff --git a/articles/managing-personal-access-tokens.html b/articles/managing-personal-access-tokens.html
index 0bc1bac..577fe07 100644
--- a/articles/managing-personal-access-tokens.html
+++ b/articles/managing-personal-access-tokens.html
@@ -9,8 +9,8 @@
 <title>Managing Personal Access Tokens • gh</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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-<link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet">
+<link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet">
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@@ -262,7 +262,7 @@ <h2 id="failure">Failure<a class="anchor" aria-label="anchor" href="#failure"></
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   <div class="pkgdown-footer-left">
   <p></p>
-<p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+<p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/authors.html b/authors.html
index 5f064d1..293b269 100644
--- a/authors.html
+++ b/authors.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • gh</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • gh</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
@@ -65,7 +65,7 @@ <h2>Authors</h2>
           </p>
         </li>
         <li>
-          <p><strong><a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a></strong>. Copyright holder, funder. 
+          <p><strong><a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a></strong>. Copyright holder, funder. 
           </p>
         </li>
       </ul></div>
@@ -76,13 +76,14 @@ <h2 id="citation">Citation</h2>
 
       <p>Bryan J, Wickham H (2023).
 <em>gh: 'GitHub' 'API'</em>.
-https://gh.r-lib.org/, https://github.com/r-lib/gh#readme. 
+R package version 1.4.0, https://github.com/r-lib/gh#readme, <a href="https://gh.r-lib.org/">https://gh.r-lib.org/</a>. 
 </p>
       <pre>@Manual{,
   title = {gh: 'GitHub' 'API'},
   author = {Jennifer Bryan and Hadley Wickham},
   year = {2023},
-  note = {https://gh.r-lib.org/, https://github.com/r-lib/gh#readme},
+  note = {R package version 1.4.0, https://github.com/r-lib/gh#readme},
+  url = {https://gh.r-lib.org/},
 }</pre>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
@@ -92,7 +93,7 @@ <h2 id="citation">Citation</h2>
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:3px}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:-1px}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart 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.5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: #737A82;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link.disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: 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0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: #737A82;--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: #737A82;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1.2rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: #FCFCFC;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #B7BBBF;--bs-pagination-border-radius: 0;--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: #CED1D3;--bs-pagination-hover-border-color: #B7BBBF;--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: #CED1D3;--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(68,112,153,0.25);--bs-pagination-active-color: #FCFCFC;--bs-pagination-active-bg: #447099;--bs-pagination-active-border-color: #447099;--bs-pagination-disabled-color: #737A82;--bs-pagination-disabled-bg: #FCFCFC;--bs-pagination-disabled-border-color: #B7BBBF;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:-1px}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:calc(1.275rem + .3vw);--bs-pagination-border-radius: .5rem}@media (min-width: 1200px){.pagination-lg{--bs-pagination-font-size:1.5rem}}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:1.05rem;--bs-pagination-border-radius: .25rem}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #FCFCFC;--bs-badge-border-radius: 0;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: #57606a;--bs-alert-bg: #f1f1f2;--bs-alert-border-color: #e9ebec}.alert-default .alert-link{color:#464d55}.alert-primary{--bs-alert-color: #29435c;--bs-alert-bg: #dae2eb;--bs-alert-border-color: #c7d4e0}.alert-primary .alert-link{color:#21364a}.alert-secondary{--bs-alert-color: #45494e;--bs-alert-bg: #e3e4e6;--bs-alert-border-color: #d5d7da}.alert-secondary .alert-link{color:#373a3e}.alert-success{--bs-alert-color: #0f5132;--bs-alert-bg: #d1e7dd;--bs-alert-border-color: #badbcc}.alert-success .alert-link{color:#0c4128}.alert-info{--bs-alert-color: #13667d;--bs-alert-bg: #cff4fc;--bs-alert-border-color: #b6effb}.alert-info .alert-link{color:#0f5264}.alert-warning{--bs-alert-color: #746320;--bs-alert-bg: #fff3cd;--bs-alert-border-color: #ffecb5}.alert-warning .alert-link{color:#5d4f1a}.alert-danger{--bs-alert-color: #842029;--bs-alert-bg: #f8d7da;--bs-alert-border-color: #f5c2c7}.alert-danger .alert-link{color:#6a1a21}.alert-light{--bs-alert-color: #69727a;--bs-alert-bg: #fafafa;--bs-alert-border-color: #f7f8f8}.alert-light .alert-link{color:#545b62}.alert-dark{--bs-alert-color: #1c2329;--bs-alert-bg: #d5d8da;--bs-alert-border-color: #c0c4c7}.alert-dark .alert-link{color:#161c21}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress{--bs-progress-height: 1rem;--bs-progress-font-size:.9rem;--bs-progress-bg: #CED1D3;--bs-progress-border-radius: 0;--bs-progress-box-shadow: inset 0 1px 2px rgba(23,36,49,0.075);--bs-progress-bar-color: #FCFCFC;--bs-progress-bar-bg: #447099;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(252,252,252,0.15) 25%, transparent 25%, transparent 50%, rgba(252,252,252,0.15) 50%, rgba(252,252,252,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #2E3A45;--bs-list-group-bg: #FCFCFC;--bs-list-group-border-color: rgba(23,36,49,0.125);--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: #5C656E;--bs-list-group-action-hover-color: #5C656E;--bs-list-group-action-hover-bg: #E5E6E8;--bs-list-group-action-active-color: #2E3A45;--bs-list-group-action-active-bg: #CED1D3;--bs-list-group-disabled-color: #737A82;--bs-list-group-disabled-bg: #FCFCFC;--bs-list-group-active-color: #FCFCFC;--bs-list-group-active-bg: #447099;--bs-list-group-active-border-color: #447099;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 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.page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:calc(1.275rem + .3vw);--bs-pagination-border-radius: .5rem}@media (min-width: 1200px){.pagination-lg{--bs-pagination-font-size:1.5rem}}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:1.05rem;--bs-pagination-border-radius: .25rem}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #FCFCFC;--bs-badge-border-radius: 0;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: #57606a;--bs-alert-bg: #f1f1f2;--bs-alert-border-color: #e9ebec}.alert-default .alert-link{color:#464d55}.alert-primary{--bs-alert-color: #29435c;--bs-alert-bg: #dae2eb;--bs-alert-border-color: #c7d4e0}.alert-primary .alert-link{color:#21364a}.alert-secondary{--bs-alert-color: #45494e;--bs-alert-bg: #e3e4e6;--bs-alert-border-color: #d5d7da}.alert-secondary .alert-link{color:#373a3e}.alert-success{--bs-alert-color: #0f5132;--bs-alert-bg: #d1e7dd;--bs-alert-border-color: #badbcc}.alert-success .alert-link{color:#0c4128}.alert-info{--bs-alert-color: #13667d;--bs-alert-bg: #cff4fc;--bs-alert-border-color: #b6effb}.alert-info .alert-link{color:#0f5264}.alert-warning{--bs-alert-color: #746320;--bs-alert-bg: #fff3cd;--bs-alert-border-color: #ffecb5}.alert-warning .alert-link{color:#5d4f1a}.alert-danger{--bs-alert-color: #842029;--bs-alert-bg: #f8d7da;--bs-alert-border-color: #f5c2c7}.alert-danger .alert-link{color:#6a1a21}.alert-light{--bs-alert-color: #69727a;--bs-alert-bg: #fafafa;--bs-alert-border-color: #f7f8f8}.alert-light .alert-link{color:#545b62}.alert-dark{--bs-alert-color: #1c2329;--bs-alert-bg: #d5d8da;--bs-alert-border-color: #c0c4c7}.alert-dark .alert-link{color:#161c21}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress{--bs-progress-height: 1rem;--bs-progress-font-size:.9rem;--bs-progress-bg: #CED1D3;--bs-progress-border-radius: 0;--bs-progress-box-shadow: inset 0 1px 2px rgba(23,36,49,0.075);--bs-progress-bar-color: #FCFCFC;--bs-progress-bar-bg: #447099;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(252,252,252,0.15) 25%, transparent 25%, transparent 50%, rgba(252,252,252,0.15) 50%, rgba(252,252,252,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #2E3A45;--bs-list-group-bg: #FCFCFC;--bs-list-group-border-color: rgba(23,36,49,0.125);--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: #5C656E;--bs-list-group-action-hover-color: #5C656E;--bs-list-group-action-hover-bg: #E5E6E8;--bs-list-group-action-active-color: #2E3A45;--bs-list-group-action-active-bg: #CED1D3;--bs-list-group-disabled-color: #737A82;--bs-list-group-disabled-bg: #FCFCFC;--bs-list-group-active-color: #FCFCFC;--bs-list-group-active-bg: #447099;--bs-list-group-active-border-color: 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid 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576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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code{word-wrap:normal}code{overflow-wrap:break-word}.hasCopyButton{position:relative}.btn-copy-ex{position:absolute;right:5px;top:5px;visibility:hidden}.hasCopyButton:hover button.btn-copy-ex{visibility:visible}pre{padding:1rem 0.5rem}@media (max-width: 575.98px){div>div>pre{margin-left:calc(var(--bs-gutter-x) * -.5);margin-right:calc(var(--bs-gutter-x) * -.5);border-radius:0;padding-left:1rem;padding-right:1rem}.btn-copy-ex{right:calc(var(--bs-gutter-x) * -.5 + 5px)}}code a:any-link{color:inherit;text-decoration-color:#737A82}pre code{padding:0;background:transparent}pre code .error,pre code .warning{font-weight:bolder}pre .img img,pre .r-plt img{margin:5px 0;background-color:#fff}@media print{code a:link:after,code a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, rgba(13,202,240,0.2), rgba(13,202,240,0.7) 95%, rgba(13,202,240,0.1))}.algolia-autocomplete .aa-hint{color:#2E3A45}.algolia-autocomplete .aa-dropdown-menu{width:Max(100%, 20rem);background-color:#FCFCFC;border:1px solid var(--bs-border-color);margin-top:2px;max-height:50vh;overflow-y:auto}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;padding:5px 4px;border-bottom:1px #CED1D3 solid;font-size:0.9rem;color:#2E3A45}.search-details{font-size:0.9rem;color:#447099;display:inline;font-weight:bolder}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion.aa-cursor{background-color:#eaeef2}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic}@media (min-width: 1400px){body{font-size:20px}}h2,.h2{font-size:calc(1.305rem + .66vw);margin-top:2.5rem}@media (min-width: 1200px){h2,.h2{font-size:1.8rem}}main .page-header+.section h2,main .page-header+.section .h2{margin-top:1rem}h3,.h3{font-size:calc(1.275rem + .3vw);margin-top:2rem}@media (min-width: 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.nav-item>.nav-link:hover{background:transparent;text-decoration:underline}.dropdown-menu{box-shadow:0 2px 5px 0 rgba(120,120,120,0.1)}.dropdown-item:hover,.dropdown-item:focus{background:#FCFCFC;text-decoration:underline}@media (min-width: 576px){#toc{top:calc(78px + 2rem)}}.row>aside{margin-top:calc(2rem + 78px)}aside{border-left:1px solid #efefef;margin-bottom:2rem;line-height:1.4}aside h2,aside .h2{font-size:1rem;text-transform:uppercase;margin-bottom:0.75rem;margin-top:2rem;font-weight:bold;letter-spacing:0.15rem;color:#454F5A}aside div:first-child h2,aside div:first-child .h2{margin-top:0}aside nav:first-child h2,aside nav:first-child .h2{margin-top:0}aside .list-unstyled li{margin-bottom:0.5rem}@media (max-width: 575.98px){aside{margin:1rem 0 0 0;padding:2rem 1rem 1rem 1rem;background-color:#f9f9f9;width:100vw;border-top:1px solid #efefef}}#toc .nav a.nav-link{color:inherit;padding:0.25rem 0}#toc .nav a.nav-link:hover,#toc .nav a.nav-link:focus{text-decoration:underline}#toc .nav a.nav-link.active{color:#444;font-weight:600}#toc .nav a.nav-link:hover,#toc .nav a.nav-link:focus,#toc .nav a.nav-link.active{background-color:#FCFCFC}footer{margin-top:auto;margin-bottom:0;border-top:1px solid #efefef;padding:2rem 0}footer p{margin-bottom:0}footer .container{display:flex}@media (max-width: 575.98px){footer .container{flex-direction:column;row-gap:1rem}}main{margin-bottom:5rem}@media (max-width: 575.98px){main{margin-bottom:0}}body{min-height:0;height:100%;display:flex;flex-direction:column}body>.container{min-height:0;flex-shrink:0}pre,code{border:none;background-image:linear-gradient(-160deg, #f8f8f8 0, #f1f1f1 100%)}pre code{background:transparent}pre{font-size:0.81em}h1 code,.h1 code,h2 code,.h2 code,h3 code,.h3 code,h4 code,.h4 code,h5 code,.h5 code,h6 code,.h6 code{background:transparent;padding:0}code{border-radius:3px}ol,ul{padding-left:1.5rem}ul{list-style-type:disc}main li{margin-bottom:0.25rem}main li li{margin-bottom:0}main ul ul,main ol ol,main ul ol,main ol ul{margin:0.5rem 0}mark,.mark{background:linear-gradient(-135deg, rgba(197,210,222,0.2), rgba(197,210,222,0.7) 95%, rgba(197,210,222,0.1))}
diff --git a/deps/data-deps.txt b/deps/data-deps.txt
index 0dc2fcd..fa17870 100644
--- a/deps/data-deps.txt
+++ b/deps/data-deps.txt
@@ -2,5 +2,5 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script>
-<link href="deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet" />
-<link href="deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet" />
+<link href="deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet" />
+<link href="deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet" />
diff --git a/index.html b/index.html
index ab8e82e..8a45873 100644
--- a/index.html
+++ b/index.html
@@ -9,8 +9,8 @@
 <title>GitHub API • gh</title>
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet">
-<link href="deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet">
+<script src="deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet">
+<link href="deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet">
 <!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
 <!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="GitHub API">
@@ -182,9 +182,8 @@ <h2 data-toc-skip>Links</h2>
 <div class="license">
 <h2 data-toc-skip>License</h2>
 <ul class="list-unstyled">
-<li>
-<a href="https://opensource.org/licenses/mit-license.php" class="external-link">MIT</a> + file <a href="LICENSE-text.html">LICENSE</a>
-</li>
+<li><a href="LICENSE.html">Full license</a></li>
+<li><small><a href="https://opensource.org/licenses/mit-license.php" class="external-link">MIT</a> + file <a href="LICENSE-text.html">LICENSE</a></small></li>
 </ul>
 </div>
 
@@ -212,7 +211,7 @@ <h2 data-toc-skip>Developers</h2>
 <li>
 <a href="http://hadley.nz" class="external-link">Hadley Wickham</a> <br><small class="roles"> Author </small>  </li>
 <li>
-<a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a> <br><small class="roles"> Copyright holder, funder </small>  </li>
+<a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a> <br><small class="roles"> Copyright holder, funder </small>  </li>
 </ul>
 </div>
 
@@ -226,7 +225,7 @@ <h2 data-toc-skip>Developers</h2>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
   <p></p>
-<p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+<p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/news/index.html b/news/index.html
index c46739d..2a39fba 100644
--- a/news/index.html
+++ b/news/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
@@ -120,7 +120,7 @@ <h2 class="pkg-version" data-toc-text="1.0.1" id="gh-101">gh 1.0.1<a class="anch
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/pkgdown.yml b/pkgdown.yml
index b1f365a..595e4f6 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -3,7 +3,7 @@ pkgdown: 2.0.7
 pkgdown_sha: ~
 articles:
   managing-personal-access-tokens: managing-personal-access-tokens.html
-last_built: 2023-05-23T07:28Z
+last_built: 2023-11-03T13:34Z
 urls:
   reference: https://gh.r-lib.org/reference
   article: https://gh.r-lib.org/articles
diff --git a/reference/gh-package.html b/reference/gh-package.html
index cb8acf2..d07094d 100644
--- a/reference/gh-package.html
+++ b/reference/gh-package.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Minimal client to access the 'GitHub' 'API'."><title>gh: 'GitHub' 'API' — gh-package • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="gh: 'GitHub' 'API' — gh-package"><meta property="og:description" content="Minimal client to access the 'GitHub' 'API'."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Minimal client to access the 'GitHub' 'API'."><title>gh: 'GitHub' 'API' — gh-package • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="gh: 'GitHub' 'API' — gh-package"><meta property="og:description" content="Minimal client to access the 'GitHub' 'API'."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
@@ -68,7 +68,7 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
     <p><strong>Maintainer</strong>: Gábor Csárdi <a href="mailto:csardi.gabor@gmail.com">csardi.gabor@gmail.com</a> [contributor]</p>
 <p>Authors:</p><ul><li><p>Jennifer Bryan</p></li>
 <li><p>Hadley Wickham</p></li>
-</ul><p>Other contributors:</p><ul><li><p>RStudio [copyright holder, funder]</p></li>
+</ul><p>Other contributors:</p><ul><li><p>Posit Software, PBC [copyright holder, funder]</p></li>
 </ul></div>
 
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
@@ -78,7 +78,7 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/reference/gh.html b/reference/gh.html
index 8d4bbb3..d548dec 100644
--- a/reference/gh.html
+++ b/reference/gh.html
@@ -9,7 +9,7 @@
 body, as JSON.
 Convert the response to an R list using jsonlite::fromJSON().
 
-"><title>Query the GitHub API — gh • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Query the GitHub API — gh"><meta property="og:description" content="This is an extremely minimal client. You need to know the API
+"><title>Query the GitHub API — gh • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Query the GitHub API — gh"><meta property="og:description" content="This is an extremely minimal client. You need to know the API
 to be able to use this client. All this function does is:
 Try to substitute each listed parameter into endpoint, using the
 {parameter} notation.
@@ -663,6 +663,119 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu">gh</span><span class="op">(</span><span class="st">"/users/hadley/starred"</span>, .limit <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   {</span>
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+<span class="r-out co"><span class="r-pr">#&gt;</span>       "url": "https://api.github.com/users/posit-dev",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "html_url": "https://github.com/posit-dev",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "followers_url": "https://api.github.com/users/posit-dev/followers",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "following_url": "https://api.github.com/users/posit-dev/following{/other_user}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "gists_url": "https://api.github.com/users/posit-dev/gists{/gist_id}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "starred_url": "https://api.github.com/users/posit-dev/starred{/owner}{/repo}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "subscriptions_url": "https://api.github.com/users/posit-dev/subscriptions",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "organizations_url": "https://api.github.com/users/posit-dev/orgs",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "repos_url": "https://api.github.com/users/posit-dev/repos",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "events_url": "https://api.github.com/users/posit-dev/events{/privacy}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "received_events_url": "https://api.github.com/users/posit-dev/received_events",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "type": "Organization",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "site_admin": false</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     },</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "html_url": "https://github.com/posit-dev/py-shiny",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "description": "Shiny for Python",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "fork": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "url": "https://api.github.com/repos/posit-dev/py-shiny",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "forks_url": "https://api.github.com/repos/posit-dev/py-shiny/forks",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "keys_url": "https://api.github.com/repos/posit-dev/py-shiny/keys{/key_id}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "collaborators_url": "https://api.github.com/repos/posit-dev/py-shiny/collaborators{/collaborator}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "teams_url": "https://api.github.com/repos/posit-dev/py-shiny/teams",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "hooks_url": "https://api.github.com/repos/posit-dev/py-shiny/hooks",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "issue_events_url": "https://api.github.com/repos/posit-dev/py-shiny/issues/events{/number}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "events_url": "https://api.github.com/repos/posit-dev/py-shiny/events",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "assignees_url": "https://api.github.com/repos/posit-dev/py-shiny/assignees{/user}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "branches_url": "https://api.github.com/repos/posit-dev/py-shiny/branches{/branch}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "tags_url": "https://api.github.com/repos/posit-dev/py-shiny/tags",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "blobs_url": "https://api.github.com/repos/posit-dev/py-shiny/git/blobs{/sha}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "git_tags_url": "https://api.github.com/repos/posit-dev/py-shiny/git/tags{/sha}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "git_refs_url": "https://api.github.com/repos/posit-dev/py-shiny/git/refs{/sha}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "trees_url": "https://api.github.com/repos/posit-dev/py-shiny/git/trees{/sha}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "statuses_url": "https://api.github.com/repos/posit-dev/py-shiny/statuses/{sha}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "languages_url": "https://api.github.com/repos/posit-dev/py-shiny/languages",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "stargazers_url": "https://api.github.com/repos/posit-dev/py-shiny/stargazers",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "contributors_url": "https://api.github.com/repos/posit-dev/py-shiny/contributors",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "subscribers_url": "https://api.github.com/repos/posit-dev/py-shiny/subscribers",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "subscription_url": "https://api.github.com/repos/posit-dev/py-shiny/subscription",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "commits_url": "https://api.github.com/repos/posit-dev/py-shiny/commits{/sha}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "git_commits_url": "https://api.github.com/repos/posit-dev/py-shiny/git/commits{/sha}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "comments_url": "https://api.github.com/repos/posit-dev/py-shiny/comments{/number}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "issue_comment_url": "https://api.github.com/repos/posit-dev/py-shiny/issues/comments{/number}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "contents_url": "https://api.github.com/repos/posit-dev/py-shiny/contents/{+path}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "compare_url": "https://api.github.com/repos/posit-dev/py-shiny/compare/{base}...{head}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "merges_url": "https://api.github.com/repos/posit-dev/py-shiny/merges",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "archive_url": "https://api.github.com/repos/posit-dev/py-shiny/{archive_format}{/ref}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "downloads_url": "https://api.github.com/repos/posit-dev/py-shiny/downloads",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "issues_url": "https://api.github.com/repos/posit-dev/py-shiny/issues{/number}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "pulls_url": "https://api.github.com/repos/posit-dev/py-shiny/pulls{/number}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "milestones_url": "https://api.github.com/repos/posit-dev/py-shiny/milestones{/number}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "notifications_url": "https://api.github.com/repos/posit-dev/py-shiny/notifications{?since,all,participating}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "labels_url": "https://api.github.com/repos/posit-dev/py-shiny/labels{/name}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "releases_url": "https://api.github.com/repos/posit-dev/py-shiny/releases{/id}",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "deployments_url": "https://api.github.com/repos/posit-dev/py-shiny/deployments",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "created_at": "2021-07-27T20:19:49Z",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "updated_at": "2023-11-03T02:56:08Z",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "pushed_at": "2023-11-02T19:57:29Z",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "git_url": "git://github.com/posit-dev/py-shiny.git",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "ssh_url": "git@github.com:posit-dev/py-shiny.git",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "clone_url": "https://github.com/posit-dev/py-shiny.git",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "svn_url": "https://github.com/posit-dev/py-shiny",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "homepage": "https://shiny.posit.co/py/",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "size": 14800,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "stargazers_count": 715,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "watchers_count": 715,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "language": "Python",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "has_issues": true,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "has_projects": true,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "has_downloads": true,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "has_wiki": true,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "has_pages": true,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "has_discussions": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "forks_count": 40,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "mirror_url": {},</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "archived": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "disabled": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "open_issues_count": 227,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "license": {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "key": "mit",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "name": "MIT License",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "spdx_id": "MIT",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "url": "https://api.github.com/licenses/mit",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "node_id": "MDc6TGljZW5zZTEz"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     },</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "allow_forking": true,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "is_template": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "web_commit_signoff_required": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "topics": [],</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "visibility": "public",</span>
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+<span class="r-out co"><span class="r-pr">#&gt;</span>     "watchers": 715,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "default_branch": "main",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "permissions": {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "admin": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "maintain": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "push": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "triage": false,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       "pull": false</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   },</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   {</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "id": 10221246,</span>
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 <span class="r-out co"><span class="r-pr">#&gt;</span>     "name": "bigrquery",</span>
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 <span class="r-out co"><span class="r-pr">#&gt;</span>     "created_at": "2013-05-22T14:04:16Z",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "pushed_at": "2023-04-21T02:04:12Z",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "updated_at": "2023-11-01T23:08:41Z",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "pushed_at": "2023-11-02T22:15:20Z",</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "git_url": "git://github.com/r-dbi/bigrquery.git",</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "ssh_url": "git@github.com:r-dbi/bigrquery.git",</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "clone_url": "https://github.com/r-dbi/bigrquery.git",</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "svn_url": "https://github.com/r-dbi/bigrquery",</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "homepage": "https://bigrquery.r-dbi.org",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "stargazers_count": 490,</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     "watchers_count": 490,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "size": 2495,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "stargazers_count": 495,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "watchers_count": 495,</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "language": "R",</span>
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@@ -746,11 +859,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
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 <span class="r-out co"><span class="r-pr">#&gt;</span>     "has_pages": true,</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     "has_discussions": false,</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     "forks_count": 178,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "forks_count": 179,</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "open_issues_count": 80,</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "open_issues_count": 79,</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "watchers": 490,</span>
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@@ -778,112 +891,115 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
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-<span class="r-out co"><span class="r-pr">#&gt;</span>   },</span>
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+<span class="r-out co"><span class="r-pr">#&gt;</span> ] </span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Would it be possible to improve the error message that is displayed when one is trying to join ordered factors (ordinal data) with different levels?\r\n\r\n```r\r\n&gt; df1 &lt;- data.frame(D.1 = c(1,3,4,2,5),\r\n+                  D.2 = factor(c(4,5,3,1,2), ordered = TRUE),\r\n+                  F.4 = c(5,4,3,2,1))\r\n&gt; df1$D.2\r\n[1] 4 5 3 1 2\r\nLevels: 1 &lt; 2 &lt; 3 &lt; 4 &lt; 5\r\n&gt; \r\n&gt; df2 &lt;- data.frame(D.1 = c(6,2,3,4,1),\r\n+                   D.2 = factor(c(NA,3,3,5,1), \r\n+                                exclude = NULL,\r\n+                                ordered = TRUE,\r\n+                                levels = c(1,2,3,4,5,NA)))\r\n&gt; df2$D.2\r\n[1] &lt;NA&gt; 3    3    5    1   \r\nLevels: 1 &lt; 2 &lt; 3 &lt; 4 &lt; 5 &lt; &lt;NA&gt;\r\n&gt; \r\n&gt; df3 &lt;- full_join(df1, df2)\r\nJoining with `by = join_by(D.1, D.2)`\r\nError in `full_join()`:\r\n! Can't join `x$D.2` with `y$D.2` due to incompatible types.\r\nℹ `x$D.2` is a &lt;ordered&lt;cd34a&gt;&gt;.\r\nℹ `y$D.2` is a &lt;ordered&lt;88c4b&gt;&gt;.\r\nRun `rlang::last_trace()` to see where the error occurred.\r\n```\r\nGranted - I am not sure how common this is, but I ran into it when trying to join survey data (obtained with the `qualtRics` package by @juliasilge), where `NA` was added to the levels (when participants skip a question). The error message was really difficult to decipher (\"incompatible types\", just \"types\"?), I could not find anything online. Only when I started making a reprex for a `qualtRics` issue, I realized what the problem was.\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "`slice_sample()` relies on `base::sample.int()` which in turn relies on incorrect sampling algorithms. The difficulty of obtaining appropriate unequal probability samples is obscure and is not known outside of survey statistics. I don't want to go into base R code although they have to fix that, too (somewhat more surprising given that Thomas Lumley, one of the core R people, is a survey statistician, at least part time). The appropriate algorithms are implemented in `sampling::UPmaxentropy()`.\r\n\r\n```r\r\n# example from Tille (2006)\r\nset.seed(25)\r\nuneq_p = c(0.07,0.17,0.41,0.61,0.83,0.91)\r\nsim_uneq_p &lt;- as.data.frame(matrix(rep(0,6*20000),ncol=6))\r\nfor (k in 1:nrow(sim_uneq_p)) {\r\n  this &lt;- sample.int(n=length(uneq_p),size=sum(uneq_p),prob=uneq_p)\r\n  sim_uneq_p[k,this] &lt;- 1\r\n}\r\ncolSums(sim_uneq_p)/nrow(sim_uneq_p)\r\nuneq_p\r\n# done right\r\nsim_uneq_p_done_right &lt;- as.data.frame(matrix(rep(0,6*20000),ncol=6))\r\nfor (k in 1:nrow(sim_uneq_p_done_right)) {\r\n   sim_uneq_p_done_right[k,] &lt;- sampling::UPmaxentropy(uneq_p)\r\n}\r\ncolSums(sim_uneq_p_done_right)/nrow(sim_uneq_p_done_right)\r\nuneq_p\r\n```\r\n\r\n@krlmlr @DavisVaughan \r\n\r\nCode in `sampling` is (kinda) ugly, and the development most likely does not satisfy the `tidyverse` standards. I don't know if you want to rely on this as a dependency. Relevant parts may need to be taken over and internalized. (I have written the unequal probability sampling code from scratch in Stata, so I am closely familiar with the methodology and what it takes to code it.)",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "The error is simple as the follow:\r\n\r\n``` r\r\ndplyr::slice_sample(data.frame(x = 1:100), 10)\r\n#&gt; Error in `dplyr::slice_sample()`:\r\n#&gt; ! `n` must be explicitly named.\r\n#&gt; Did you mean `::(n = 10)`?\r\n#&gt; Did you mean `dplyr(n = 10)`?\r\n#&gt; Did you mean `slice_sample(n = 10)`?\r\n#&gt; Backtrace:\r\n#&gt;     ▆\r\n#&gt;  1. └─dplyr::slice_sample(data.frame(x = 1:100), 10)\r\n#&gt;  2.   └─dplyr:::check_slice_unnamed_n_prop(..., n = n, prop = prop)\r\n#&gt;  3.     └─rlang::abort(bullets, call = error_call)\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-28 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n",</span>
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@@ -1419,15 +1427,15 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "It seems that a performance regression has been introduced for `dplyr::rowwise()` in `{dplyr}` version 1.1.0.\r\n\r\nI give some reprexes below illustrating large differences in execution time when using this on v1.1 compared to v1.0.10.\r\n * A: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\r\n * B: The same example is much slower in v1.1.0: **51.5 seconds**.\r\n   * B2: Execution time of a function called `test_code_without_rowwise`, which is modified not to use `dplyr::rowwise()` doesn't suffer these slowdowns: **0.337 seconds**.\r\n * C: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is a similar duration in v1.1.1: **52.2 seconds**.\r\n\r\nThese seem to indicate that usage in `dplyr::rowwise` in v1.1.0+ is much slower than previous versions.\r\n\r\n*Note that we are using collapsable sections to improve readability of the code below. The functions in the collapsable sections are part of the reprexes.*\r\n\r\nA: Using `dplyr::rowwise()` in v1.0.10\r\n---\r\nExecution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;**Click to show definitions of functions which are part of this reprex**&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n```r\r\nbenchmark_dplyr_version_install_from_source(\"1.0.10\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.0.10 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 1.861705 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n\r\nB: Using `dplyr::rowwise()` in v1.1.0\r\n---\r\nThe same example is much slower in v1.1.0: **51.5 seconds**.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;Same functions as defined above are part of this reprex (Click to show)&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n```r\r\nbenchmark_dplyr_version_install_from_source(\"1.1.0\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 51.51825 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n### B2: Avoiding use of `dplyr::rowwise()` in v1.1.0\r\n\r\nThis time difference doesn't appear in v1.1.0 when `dplyr::rowwise()` isn't used, indicating that `rowwise()` is what's causing the slowdown.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;Same functions as above are included in this reprex, apart from `test_code` is replaced with `test_code_without_rowwise`&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code_without_rowwise = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    # rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code_without_rowwise()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n```r\r\nbenchmark_dplyr_version_install_from_source(\"1.1.0\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 0.3373294 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n\r\nC: Using `dplyr::rowwise()` in v1.1.1\r\n---\r\nExecution of the same function `test_code` is a similar duration in v1.1.1: **52.2 seconds**.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;Same functions as defined above are part of this reprex (Click to show)&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n``` r\r\nbenchmark_dplyr_version_install_from_source(\"1.1.1\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.1.1 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 52.21882 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Maybe because of a delayed evaluation issue ?\r\n\r\n``` r\r\nbugged &lt;- function() {\r\n  withr::local_options(warn = 2)\r\n  rlang::warn(\"oops\") # or warning(\"oops\")\r\n  24\r\n}\r\n\r\n# as expected\r\n\r\nbugged()\r\n#&gt; Error: (converted from warning) oops\r\nsubset(cars, speed == bugged())\r\n#&gt; Error: (converted from warning) oops\r\n\r\n# unexpected\r\n\r\ndplyr::filter(cars, speed == bugged())\r\n#&gt; Warning: There was 1 warning in `dplyr::filter()`.\r\n#&gt; ℹ In argument: `speed == bugged()`.\r\n#&gt; Caused by warning:\r\n#&gt; ! oops\r\n#&gt;   speed dist\r\n#&gt; 1    24   70\r\n#&gt; 2    24   92\r\n#&gt; 3    24   93\r\n#&gt; 4    24  120\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-25 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "I was fixing [some Arrow test failures](https://github.com/apache/arrow/issues/35131) which are the result of the dev version of waldo correctly distinguishing between `NA_real_` and `NaN`, and came across this behaviour where `NaN` values are silently coerced by `dplyr::coalesce()` into `NA`s.  \r\n\r\nI'm unsure if this is a bug or just a difference in implementations/interpretations, but the second row in the `cwx` column in the example below is making me think it could be a bug?\r\n\r\n``` r\r\nlibrary(dplyr)\r\nlibrary(arrow)\r\n\r\ndf &lt;- tibble(\r\n  w = c(NaN, NaN, NA_real_),\r\n  x = c(NA_real_, NaN, 3.3),\r\n  y = c(NA_real_, 2.2, 3.3),\r\n  z = c(1.1, 2.2, 3.3)\r\n)\r\n\r\ndf %&gt;%\r\n  mutate(\r\n    cw = coalesce(w),\r\n    cz = coalesce(z),\r\n    cwx = coalesce(w, x),\r\n    cwxy = coalesce(w, x, y),\r\n    cwxyz = coalesce(w, x, y, z)\r\n  )\r\n#&gt; # A tibble: 3 × 9\r\n#&gt;       w     x     y     z    cw    cz   cwx  cwxy cwxyz\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1   NaN  NA    NA     1.1    NA   1.1  NA    NA     1.1\r\n#&gt; 2   NaN NaN     2.2   2.2    NA   2.2  NA     2.2   2.2\r\n#&gt; 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\r\n\r\ndf %&gt;%\r\n  arrow_table() %&gt;%\r\n  mutate(\r\n    cw = coalesce(w),\r\n    cz = coalesce(z),\r\n    cwx = coalesce(w, x),\r\n    cwxy = coalesce(w, x, y),\r\n    cwxyz = coalesce(w, x, y, z)\r\n  ) %&gt;%\r\n  collect()\r\n#&gt; # A tibble: 3 × 9\r\n#&gt;       w     x     y     z    cw    cz   cwx  cwxy cwxyz\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1   NaN  NA    NA     1.1   NaN   1.1  NA    NA     1.1\r\n#&gt; 2   NaN NaN     2.2   2.2   NaN   2.2 NaN     2.2   2.2\r\n#&gt; 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-04-24 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "`!!` inside `arrange()` is not warning like `all_of()`\r\n\r\nAside: I was surprised to see the lack of tidyselect for `arrange()`. Is the reason documented somewhere? It is not in [the tidyselect 1.2.0 blog post](https://www.tidyverse.org/blog/2022/10/tidyselect-1-2-0/).\r\n\r\n``` r\r\nlibrary(tidyverse)\r\ndf &lt;- tibble(x = 2:1)\r\nw &lt;- \"x\"\r\ndf |&gt; arrange(.data[[w]])\r\n#&gt; # A tibble: 2 × 1\r\n#&gt;       x\r\n#&gt;   &lt;int&gt;\r\n#&gt; 1     1\r\n#&gt; 2     2\r\ndf |&gt; arrange(!!w)\r\n#&gt; # A tibble: 2 × 1\r\n#&gt;       x\r\n#&gt;   &lt;int&gt;\r\n#&gt; 1     2\r\n#&gt; 2     1\r\ndf |&gt; arrange(all_of(w))\r\n#&gt; Warning: There was 1 warning in `arrange()`.\r\n#&gt; ℹ In argument: `..1 = all_of(w)`.\r\n#&gt; Caused by warning:\r\n#&gt; ! Using `all_of()` outside of a selecting function was deprecated in tidyselect\r\n#&gt;   1.2.0.\r\n#&gt; ℹ See details at\r\n#&gt;   &lt;https://tidyselect.r-lib.org/reference/faq-selection-context.html&gt;\r\n#&gt; # A tibble: 2 × 1\r\n#&gt;       x\r\n#&gt;   &lt;int&gt;\r\n#&gt; 1     2\r\n#&gt; 2     1\r\ndf |&gt; arrange(!!.env$w)\r\n#&gt; Error in eval(expr, envir, enclos): object '.env' not found\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-12 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Motivated by https://github.com/tidyverse/dplyr/issues/6821\r\n\r\n``` r\r\nlibrary(dplyr, warn.conflicts = FALSE)\r\n\r\ndf1 &lt;- tibble(\r\n  X1 = c(\"chr1\", \"chr2\"),\r\n  a = c(1, 2)\r\n)\r\n\r\ndf2 &lt;- tibble(\r\n  X2 = c(\"chr2\", \"chr3\"),\r\n  b = c(3, 4)\r\n)\r\n\r\nby.1 &lt;- \"X1\"\r\nby.2 &lt;- \"X2\"\r\n\r\n# The \"old\" way\r\n# inner_join(df1, df2, by = setNames(by.2, by.1))\r\n\r\n# This works but we don't typically encourage using `!!` in high level APIs\r\ninner_join(df1, df2, by = join_by(!!by.1 == !!by.2))\r\n#&gt; # A tibble: 1 × 3\r\n#&gt;   X1        a     b\r\n#&gt;   &lt;chr&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1 chr2      2     3\r\n \r\n# It might be nice to be able to do this, but it currently errors\r\ninner_join(df1, df2, by = join_by(.env$by.1 == .env$by.2))\r\n#&gt; Error in `join_by()`:\r\n#&gt; ! The left-hand side of a `$` expression must be either `x$` or `y$`.\r\n#&gt; ℹ Expression 1 contains `.env$by.1`.\r\n```\r\n\r\nSome notes from talking with @lionel-:\r\n- We have an equivalent-ish to `.data$` already with `x$` and `y$`. They don't have a `.` prefix because I attempted to match the original argument names\r\n- So it seems like we are missing an equivalent to the `.env$` pronoun, and we may as well call it `.env$` here too\r\n- It would look up in the `caller_env()` of `join_by()`, and I don't think `join_by()` would get an `env = caller_env()` argument to \"pass the env through\" unlike what is done in `glue()`.\r\n- It would look up using `inherits = TRUE`, because it seems like tidy eval does this too, and we generally think that makes sense\r\n- It would require the result to be a single string, or die trying. i.e. you can only use this to inject a single name from the environment, not to inject an entire expression",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Hi,\r\n\r\nit took me a while to get to this (very artificial) reduced example, but I managed to get it: For some reason, using `cli::warn()` inside a nested and grouped mutate function results in the described error.\r\n\r\nRemoving `cli_warn()` also removes the error and results in a sane answer.\r\n\r\nI am using R 4.2.1, with dplyr 1.1.3 and cli 3.6.1.\r\n\r\n---\r\n\r\nBrief description of the problem\r\n\r\n``` r\r\nlibrary(cli)\r\nlibrary(dplyr)\r\n#&gt; \r\n#&gt; Attache Paket: 'dplyr'\r\n#&gt; Die folgenden Objekte sind maskiert von 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; Die folgenden Objekte sind maskiert von 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n\r\nsome_warning &lt;- function() {\r\n  cli::cli_warn(\"some warning\")\r\n  return(1)\r\n}\r\n\r\ncreate_new_col &lt;- function() {\r\n  tibble(col = TRUE) |&gt;\r\n    mutate(\r\n      new_col = some_warning(),\r\n      .by = col\r\n    ) |&gt;\r\n    pull(new_col)\r\n}\r\n\r\ntibble(group = TRUE) |&gt;\r\n  mutate(new_col = create_new_col(), .by = group)\r\n#&gt; Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE): Werte müssen die Länge 1 haben,\r\n#&gt; Ergebnis von FUN(X[[1]]) hat aber Länge 0\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-10 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n",</span>
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It allows the user to pass grouping variables, summary variables and any number of summary functions as arguments. \r\n\r\n```\r\n# Allow user to choose summary function(s)\r\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \r\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\r\n  data %&gt;% \r\n    group_by(across({{group.vars}})) %&gt;% \r\n    summarise(n=n(), across({{summary.vars}}, \r\n                            .fn=FUNS,\r\n                            .names=\"{.col}_{.fn}\"))\r\n}\r\n```\r\n\r\nI often use `weighted.mean` as a summary function in the `FUNS` argument, which requires a weighting variable, which I pass with the bare column name, like this:\r\n\r\n```\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am), \r\n               FUNS=c(mean=~mean(., na.rm=TRUE), \r\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\r\n``` \r\n\r\nThis approach worked in `dplyr 1.0.10` and previous versions, but is failing in `dplyr 1.1.1`. Reproducible examples are below, first with 1.0.10 then with 1.1.1. \r\n\r\nHow can I update my function so that it will work properly with `dplyr 1.1.1`? I've never been happy with hard-coding the `w` argument anyway. Is there some tidyeval way that I should be passing the `w` argument into the summary function?\r\n\r\n### Example with `dplyr 1.0.10`\r\n\r\n``` r\r\nlibrary(dplyr)\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n\r\n# Allow user to choose summary function(s)\r\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \r\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\r\n  data %&gt;% \r\n    group_by(across({{group.vars}})) %&gt;% \r\n    summarise(n=n(), across({{summary.vars}}, \r\n                            .fn=FUNS,\r\n                            .names=\"{.col}_{.fn}\"))\r\n}\r\n\r\n# These work in both 1.0.10 and 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp))\r\n#&gt; # A tibble: 1 × 3\r\n#&gt;       n mpg_mean hp_mean\r\n#&gt;   &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1    32     20.1    147.\r\n\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am))\r\n#&gt; `summarise()` has grouped output by 'vs'. You can override using the `.groups`\r\n#&gt; argument.\r\n#&gt; # A tibble: 4 × 5\r\n#&gt; # Groups:   vs [2]\r\n#&gt;      vs    am     n mpg_mean hp_mean\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1     0     0    12     15.0   194. \r\n#&gt; 2     0     1     6     19.8   181. \r\n#&gt; 3     1     0     7     20.7   102. \r\n#&gt; 4     1     1     7     28.4    80.6\r\n\r\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am), \r\n               FUNS=c(mean=~mean(., na.rm=TRUE), \r\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\r\n#&gt; `summarise()` has grouped output by 'vs'. You can override using the `.groups`\r\n#&gt; argument.\r\n#&gt; # A tibble: 4 × 7\r\n#&gt; # Groups:   vs [2]\r\n#&gt;      vs    am     n mpg_mean mpg_mean.wted hp_mean hp_mean.wted\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;int&gt;    &lt;dbl&gt;         &lt;dbl&gt;   &lt;dbl&gt;        &lt;dbl&gt;\r\n#&gt; 1     0     0    12     15.0          15.1   194.         194. \r\n#&gt; 2     0     1     6     19.8          19.0   181.         198. \r\n#&gt; 3     1     0     7     20.7          20.4   102.         105. \r\n#&gt; 4     1     1     7     28.4          28.4    80.6         80.6\r\n\r\nsessionInfo()\r\n#&gt; R version 4.2.2 (2022-10-31)\r\n#&gt; Platform: aarch64-apple-darwin20 (64-bit)\r\n#&gt; Running under: macOS Ventura 13.2.1\r\n#&gt; \r\n#&gt; Matrix products: default\r\n#&gt; BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\r\n#&gt; LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\r\n#&gt; \r\n#&gt; locale:\r\n#&gt; [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\r\n#&gt; \r\n#&gt; attached base packages:\r\n#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     \r\n#&gt; \r\n#&gt; other attached packages:\r\n#&gt; [1] dplyr_1.0.10\r\n#&gt; \r\n#&gt; loaded via a namespace (and not attached):\r\n#&gt;  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \r\n#&gt;  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \r\n#&gt;  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \r\n#&gt; [13] R.oo_1.25.0       utf8_1.2.3        DBI_1.1.3         cli_3.6.1        \r\n#&gt; [17] withr_2.5.0       htmltools_0.5.4   yaml_2.3.7        digest_0.6.31    \r\n#&gt; [21] tibble_3.2.1      lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000 \r\n#&gt; [25] R.utils_2.12.2    fs_1.6.1          glue_1.6.2        evaluate_0.20    \r\n#&gt; [29] rmarkdown_2.20    reprex_2.0.2      compiler_4.2.2    pillar_1.8.1     \r\n#&gt; [33] generics_0.1.3    R.methodsS3_1.8.2 pkgconfig_2.0.3\r\n```\r\n\r\n### Same example, but with `dplyr 1.1.1`\r\n\r\n``` r\r\nlibrary(dplyr)\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n\r\n# Allow user to choose summary function(s)\r\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \r\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\r\n  data %&gt;% \r\n    group_by(across({{group.vars}})) %&gt;% \r\n    summarise(n=n(), across({{summary.vars}}, \r\n                            .fn=FUNS,\r\n                            .names=\"{.col}_{.fn}\"))\r\n}\r\n\r\n# These work in both 1.0.10 and 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp))\r\n#&gt; # A tibble: 1 × 3\r\n#&gt;       n mpg_mean hp_mean\r\n#&gt;   &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1    32     20.1    147.\r\n\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am))\r\n#&gt; `summarise()` has grouped output by 'vs'. You can override using the `.groups`\r\n#&gt; argument.\r\n#&gt; # A tibble: 4 × 5\r\n#&gt; # Groups:   vs [2]\r\n#&gt;      vs    am     n mpg_mean hp_mean\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1     0     0    12     15.0   194. \r\n#&gt; 2     0     1     6     19.8   181. \r\n#&gt; 3     1     0     7     20.7   102. \r\n#&gt; 4     1     1     7     28.4    80.6\r\n\r\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am), \r\n               FUNS=c(mean=~mean(., na.rm=TRUE), \r\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\r\n#&gt; Error in `summarise()`:\r\n#&gt; ℹ In argument: `across(c(mpg, hp), .fn = FUNS, .names =\r\n#&gt;   \"{.col}_{.fn}\")`.\r\n#&gt; ℹ In group 1: `vs = 0`, `am = 0`.\r\n#&gt; Caused by error in `across()`:\r\n#&gt; ! Can't compute column `mpg_mean.wted`.\r\n#&gt; Caused by error in `weighted.mean.default()`:\r\n#&gt; ! object 'cyl' not found\r\n#&gt; Backtrace:\r\n#&gt;      ▆\r\n#&gt;   1. ├─mtcars %&gt;% ...\r\n#&gt;   2. ├─global fnc(...)\r\n#&gt;   3. │ └─data %&gt;% group_by(across({{ group.vars }})) %&gt;% ...\r\n#&gt;   4. ├─dplyr::summarise(...)\r\n#&gt;   5. ├─dplyr:::summarise.grouped_df(...)\r\n#&gt;   6. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, \"summarise\")\r\n#&gt;   7. │   ├─base::withCallingHandlers(...)\r\n#&gt;   8. │   └─dplyr:::map(quosures, summarise_eval_one, mask = mask)\r\n#&gt;   9. │     └─base::lapply(.x, .f, ...)\r\n#&gt;  10. │       └─dplyr (local) FUN(X[[i]], ...)\r\n#&gt;  11. │         ├─base::withCallingHandlers(...)\r\n#&gt;  12. │         └─mask$eval_all_summarise(quo)\r\n#&gt;  13. │           └─dplyr (local) eval()\r\n#&gt;  14. ├─`&lt;rlng_lm_&gt;`(mpg)\r\n#&gt;  15. │ ├─stats::weighted.mean(., w = cyl, na.rm = TRUE)\r\n#&gt;  16. │ └─stats:::weighted.mean.default(., w = cyl, na.rm = TRUE)\r\n#&gt;  17. └─base::.handleSimpleError(...)\r\n#&gt;  18.   └─dplyr (local) h(simpleError(msg, call))\r\n#&gt;  19.     └─rlang::abort(msg, call = call(\"across\"), parent = cnd)\r\n\r\nsessionInfo()\r\n#&gt; R version 4.2.2 (2022-10-31)\r\n#&gt; Platform: aarch64-apple-darwin20 (64-bit)\r\n#&gt; Running under: macOS Ventura 13.2.1\r\n#&gt; \r\n#&gt; Matrix products: default\r\n#&gt; BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\r\n#&gt; LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\r\n#&gt; \r\n#&gt; locale:\r\n#&gt; [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\r\n#&gt; \r\n#&gt; attached base packages:\r\n#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     \r\n#&gt; \r\n#&gt; other attached packages:\r\n#&gt; [1] dplyr_1.1.1\r\n#&gt; \r\n#&gt; loaded via a namespace (and not attached):\r\n#&gt;  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \r\n#&gt;  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \r\n#&gt;  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \r\n#&gt; [13] R.oo_1.25.0       utf8_1.2.3        cli_3.6.0         withr_2.5.0      \r\n#&gt; [17] htmltools_0.5.4   yaml_2.3.7        digest_0.6.31     tibble_3.2.1     \r\n#&gt; [21] lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000  R.utils_2.12.2   \r\n#&gt; [25] fs_1.6.1          glue_1.6.2        evaluate_0.20     rmarkdown_2.20   \r\n#&gt; [29] reprex_2.0.2      compiler_4.2.2    pillar_1.8.1      generics_0.1.3   \r\n#&gt; [33] R.methodsS3_1.8.2 pkgconfig_2.0.3\r\n```\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Right now these eventually just do `summarise(n = n())` or `mutate(n = n())` at some point, but that can be very slow with many groups. We already have `vec_count()`, which should be much much faster than `count()` with many groups. We could also add some kind of vctrs primitive that works like a windowed count for `add_count()`, or just build on top of `vec_count()`'s result plus an additional call to `vec_match()`.\r\n\r\nWe'd have to think through how weighted counts would work, maybe `vec_count()` needs support for a weight argument (a double vector).\r\n\r\nMotivation is something like this, and flights isn't even that big. Roughly 55k groups here.\r\n\r\n``` r\r\nlibrary(dplyr)\r\nlibrary(nycflights13)\r\n\r\nbench::mark(\r\n  count(flights, dep_time, dep_delay),\r\n  vctrs::vec_count(flights[c(\"dep_time\", \"dep_delay\")]),\r\n  check = FALSE\r\n)\r\n#&gt; Warning: Some expressions had a GC in every iteration; so filtering is\r\n#&gt; disabled.\r\n#&gt; # A tibble: 2 × 6\r\n#&gt;   expression                                                 min  median itr/s…¹\r\n#&gt;   &lt;bch:expr&gt;                                            &lt;bch:tm&gt; &lt;bch:t&gt;   &lt;dbl&gt;\r\n#&gt; 1 count(flights, dep_time, dep_delay)                    419.6ms 441.4ms    2.27\r\n#&gt; 2 vctrs::vec_count(flights[c(\"dep_time\", \"dep_delay\")])   17.3ms  21.5ms   42.7 \r\n#&gt; # … with 2 more variables: mem_alloc &lt;bch:byt&gt;, `gc/sec` &lt;dbl&gt;, and abbreviated\r\n#&gt; #   variable name ¹​`itr/sec`\r\n```\r\n\r\nAlso need to handle the fact that `...` and `wt` are data-masking, probably with `add_computed_columns()` like `distinct()`.",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Extracted from https://github.com/tidyverse/dplyr/issues/6933\r\n\r\nSometimes the function you apply in `across()` returns a tibble who's column names already uniquely identify that function (`TTR::TDI()` or `TTR::MACD()`), so you don't need to name the `list()` as that would be repetitive, and you don't need the `_1` or `_2` you get automatically.\r\n\r\nIt would be nice if you could set `.names = \"{.col}_\"` when `.unpack = TRUE` to handle this special case, but that runs the name uniqueness check too early. It creates two names called `var1_`, which do eventually get resolved _after_ the unpacking is done, and a second name uniqueness check is already done in `df_unpack()`, so I think we can skip the ones in `across_setup()` when `.unpack = TRUE`.\r\n\r\nEasiest way to do this is the probably give `across_setup()` a `name_repair` argument that we can set to `\"minimal\"` when `.unpack = TRUE`.\r\n\r\n``` r\r\nlibrary(dplyr, warn.conflicts = FALSE)\r\n\r\ndf &lt;- tibble(\r\n  var1 = seq(1, 100, 1)\r\n)\r\n\r\nmetric_a &lt;- function(x) {\r\n  tibble::tibble(a = x, a_info = x + 1)\r\n}\r\nmetric_b &lt;- function(x) {\r\n  tibble::tibble(b = x, b_info = x + 1)\r\n}\r\n\r\n# dont need 1 and 2 here\r\ndf |&gt;\r\n  mutate(across(\r\n    var1,\r\n    list(\r\n      \\(.x) metric_a(.x),\r\n      \\(.x) metric_b(.x)\r\n    ),\r\n    .unpack = TRUE\r\n  ))\r\n#&gt; # A tibble: 100 × 5\r\n#&gt;     var1 var1_1_a var1_1_a_info var1_2_b var1_2_b_info\r\n#&gt;    &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;\r\n#&gt;  1     1        1             2        1             2\r\n#&gt;  2     2        2             3        2             3\r\n#&gt;  3     3        3             4        3             4\r\n#&gt;  4     4        4             5        4             5\r\n#&gt;  5     5        5             6        5             6\r\n#&gt;  6     6        6             7        6             7\r\n#&gt;  7     7        7             8        7             8\r\n#&gt;  8     8        8             9        8             9\r\n#&gt;  9     9        9            10        9            10\r\n#&gt; 10    10       10            11       10            11\r\n#&gt; # ℹ 90 more rows\r\n\r\n# this is also repetitive\r\ndf |&gt;\r\n  mutate(across(\r\n    var1,\r\n    list(\r\n      a = \\(.x) metric_a(.x),\r\n      b = \\(.x) metric_b(.x)\r\n    ),\r\n    .unpack = TRUE\r\n  ))\r\n#&gt; # A tibble: 100 × 5\r\n#&gt;     var1 var1_a_a var1_a_a_info var1_b_b var1_b_b_info\r\n#&gt;    &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;\r\n#&gt;  1     1        1             2        1             2\r\n#&gt;  2     2        2             3        2             3\r\n#&gt;  3     3        3             4        3             4\r\n#&gt;  4     4        4             5        4             5\r\n#&gt;  5     5        5             6        5             6\r\n#&gt;  6     6        6             7        6             7\r\n#&gt;  7     7        7             8        7             8\r\n#&gt;  8     8        8             9        8             9\r\n#&gt;  9     9        9            10        9            10\r\n#&gt; 10    10       10            11       10            11\r\n#&gt; # ℹ 90 more rows\r\n\r\n# ideally:\r\ndf |&gt;\r\n  mutate(across(\r\n    var1,\r\n    list(\r\n      a = \\(.x) metric_a(.x),\r\n      b = \\(.x) metric_b(.x)\r\n    ),\r\n    .names = \"{.col}_\",\r\n    .unpack = TRUE\r\n  ))\r\n#&gt; Error in `mutate()`:\r\n#&gt; ℹ In argument: `across(...)`.\r\n#&gt; Caused by error in `across()`:\r\n#&gt; ! Names must be unique.\r\n#&gt; ✖ These names are duplicated:\r\n#&gt;   * \"var1_\" at locations 1 and 2.\r\n#&gt; Backtrace:\r\n#&gt;      ▆\r\n#&gt;   1. ├─dplyr::mutate(...)\r\n#&gt;   2. ├─dplyr:::mutate.data.frame(...)\r\n#&gt;   3. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\r\n#&gt;   4. │   ├─base::withCallingHandlers(...)\r\n#&gt;   5. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\r\n#&gt;   6. │     └─mask$eval_all_mutate(quo)\r\n#&gt;   7. │       └─dplyr (local) eval()\r\n#&gt;   8. └─dplyr::across(...)\r\n#&gt;   9.   └─dplyr:::across_setup(...)\r\n#&gt;  10.     └─vctrs::vec_as_names(...)\r\n#&gt;  11.       └─vctrs (local) `&lt;fn&gt;`()\r\n#&gt;  12.         └─vctrs:::validate_unique(names = names, arg = arg, call = call)\r\n#&gt;  13.           └─vctrs:::stop_names_must_be_unique(names, arg, call = call)\r\n#&gt;  14.             └─vctrs:::stop_names(...)\r\n#&gt;  15.               └─vctrs:::stop_vctrs(...)\r\n#&gt;  16.                 └─rlang::abort(message, class = c(class, \"vctrs_error\"), ..., call = call)\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-02 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Can we start to un-export any of these https://github.com/tidyverse/dplyr/blob/main/R/utils-tidy-eval.R?\r\n\r\nAlso, should we un-export `.data`? It doesn't belong on that help page, as noted in https://github.com/tidyverse/dplyr/pull/6801. We also don't export `.env` from dplyr, but those two are very closely related, and right now you can do `?dplyr::.data` but not `?dplyr::.env`.",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Please briefly describe your problem and what output you expect. If you have a question, please don't use this form. Instead, ask on &lt;https://stackoverflow.com/&gt; or &lt;https://community.rstudio.com/&gt;.\r\n\r\nPlease include a minimal reproducible example (AKA a reprex). If you've never heard of a [reprex](http://reprex.tidyverse.org/) before, start by reading &lt;https://www.tidyverse.org/help/#reprex&gt;.\r\n\r\n---\r\n\r\nHere my data is nested in one column called `dat`, then `.data` cannot detect a column with string, but `pick()` works as expect.\r\n\r\n``` r\r\nsuppressPackageStartupMessages(library(dplyr))\r\nlibrary(purrr)\r\ntest &lt;- tibble::tribble(\r\n  ~target, ~dat,\r\n  \"x\", data.frame(id = 1:5, x = 1:5)\r\n) \r\ntest |&gt; \r\n  mutate(\r\n    map2(\r\n      target, dat,\r\n      \\(target, dat) {\r\n        dat |&gt; \r\n          mutate(y = .data[[target]])\r\n      }\r\n    )\r\n  )\r\n#&gt; Error in eval(expr, envir, enclos): 找不到对象'target'\r\ntest |&gt; \r\n  mutate(\r\n    map2(\r\n      target, dat,\r\n      \\(target, dat) {\r\n        dat |&gt; \r\n          mutate(y = pick(all_of(target)))\r\n      }\r\n    )\r\n  )\r\n#&gt; # A tibble: 1 × 3\r\n#&gt;   target dat          `map2(...)` \r\n#&gt;   &lt;chr&gt;  &lt;list&gt;       &lt;list&gt;      \r\n#&gt; 1 x      &lt;df [5 × 2]&gt; &lt;df [5 × 3]&gt;\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-09-22 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n\r\n\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "It has gotten better after installing the dev version of dplyr (before a lot of time was wasted in `arg_match()`). But it has still a big overhead.\r\n\r\n``` r\r\nlibrary(dplyr)\r\n\r\nset.seed(1)\r\nn &lt;- 10e3\r\ndf &lt;- tibble(\r\n  id = sample(n, n, replace = TRUE),\r\n  x = runif(n)\r\n)\r\n\r\nbench::mark(\r\n  slice_max = df |&gt; \r\n    slice_max(x, n = 1, with_ties = FALSE, by = id),\r\n  arrange_slice = df |&gt;\r\n    arrange(desc(x)) |&gt; \r\n    slice(1, .by = id),\r\n  row_number = df |&gt;\r\n    filter(row_number(x) == n(), .by = id),\r\n  # can't check because the order is different\r\n  check = FALSE\r\n)\r\n#&gt; Warning: Some expressions had a GC in every iteration; so filtering is\r\n#&gt; disabled.\r\n#&gt; # A tibble: 3 × 6\r\n#&gt;   expression         min   median `itr/sec` mem_alloc `gc/sec`\r\n#&gt;   &lt;bch:expr&gt;    &lt;bch:tm&gt; &lt;bch:tm&gt;     &lt;dbl&gt; &lt;bch:byt&gt;    &lt;dbl&gt;\r\n#&gt; 1 slice_max      803.7ms  803.7ms      1.24    7.57MB     23.6\r\n#&gt; 2 arrange_slice  272.3ms  290.5ms      3.44    1.86MB     22.4\r\n#&gt; 3 row_number      91.3ms   96.5ms     10.4     4.04MB     22.4\r\n\r\n# just make sure that the three approaches give the same results\r\na1 &lt;- df |&gt; \r\n  slice_max(x, n = 1, with_ties = FALSE, by = id) |&gt; \r\n  arrange(id)\r\na2 &lt;- df |&gt;\r\n  arrange(desc(x)) |&gt; \r\n  slice(1, .by = id) |&gt; \r\n  arrange(id)\r\na3 &lt;- df |&gt;\r\n  filter(row_number(x) == n(), .by = id) |&gt; \r\n  arrange(id)\r\n\r\nidentical(a1, a2)\r\n#&gt; [1] TRUE\r\nidentical(a1, a3)\r\n#&gt; [1] TRUE\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-03-08 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n&lt;details style=\"margin-bottom:10px;\"&gt;\r\n&lt;summary&gt;\r\nSession info\r\n&lt;\/summary&gt;\r\n\r\n``` r\r\nsessioninfo::session_info()\r\n#&gt; ─ Session info ───────────────────────────────────────────────────────────────\r\n#&gt;  setting  value\r\n#&gt;  version  R version 4.2.0 (2022-04-22)\r\n#&gt;  os       macOS Big Sur/Monterey 10.16\r\n#&gt;  system   x86_64, darwin17.0\r\n#&gt;  ui       X11\r\n#&gt;  language (EN)\r\n#&gt;  collate  en_US.UTF-8\r\n#&gt;  ctype    en_US.UTF-8\r\n#&gt;  tz       UTC\r\n#&gt;  date     2023-03-08\r\n#&gt;  pandoc   2.19.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)\r\n#&gt; \r\n#&gt; ─ Packages ───────────────────────────────────────────────────────────────────\r\n#&gt;  package     * version    date (UTC) lib source\r\n#&gt;  bench         1.1.2      2021-11-30 [1] CRAN (R 4.2.0)\r\n#&gt;  cli           3.6.0      2023-01-09 [1] CRAN (R 4.2.0)\r\n#&gt;  digest        0.6.31     2022-12-11 [1] CRAN (R 4.2.0)\r\n#&gt;  dplyr       * 1.1.0.9000 2023-03-08 [1] Github (tidyverse/dplyr@2222d43)\r\n#&gt;  evaluate      0.20       2023-01-17 [1] CRAN (R 4.2.0)\r\n#&gt;  fansi         1.0.4      2023-01-22 [1] CRAN (R 4.2.0)\r\n#&gt;  fastmap       1.1.1      2023-02-24 [1] CRAN (R 4.2.0)\r\n#&gt;  fs            1.6.1      2023-02-06 [1] CRAN (R 4.2.0)\r\n#&gt;  generics      0.1.3      2022-07-05 [1] CRAN (R 4.2.0)\r\n#&gt;  glue          1.6.2      2022-02-24 [1] CRAN (R 4.2.0)\r\n#&gt;  htmltools     0.5.4      2022-12-07 [1] CRAN (R 4.2.0)\r\n#&gt;  knitr         1.42       2023-01-25 [1] CRAN (R 4.2.0)\r\n#&gt;  lifecycle     1.0.3.9000 2022-10-10 [1] Github (r-lib/lifecycle@80a1e52)\r\n#&gt;  magrittr      2.0.3      2022-03-30 [1] CRAN (R 4.2.0)\r\n#&gt;  pillar        1.8.1      2022-08-19 [1] CRAN (R 4.2.0)\r\n#&gt;  pkgconfig     2.0.3      2019-09-22 [1] CRAN (R 4.2.0)\r\n#&gt;  profmem       0.6.0      2020-12-13 [1] CRAN (R 4.2.0)\r\n#&gt;  purrr         1.0.1      2023-01-10 [1] CRAN (R 4.2.0)\r\n#&gt;  R.cache       0.16.0     2022-07-21 [1] CRAN (R 4.2.0)\r\n#&gt;  R.methodsS3   1.8.2      2022-06-13 [1] CRAN (R 4.2.0)\r\n#&gt;  R.oo          1.25.0     2022-06-12 [1] CRAN (R 4.2.0)\r\n#&gt;  R.utils       2.12.2     2022-11-11 [1] CRAN (R 4.2.0)\r\n#&gt;  R6            2.5.1      2021-08-19 [1] CRAN (R 4.2.0)\r\n#&gt;  reprex        2.0.2      2022-08-17 [1] CRAN (R 4.2.0)\r\n#&gt;  rlang         1.1.0      2023-03-07 [1] Github (r-lib/rlang@60159c7)\r\n#&gt;  rmarkdown     2.20       2023-01-19 [1] CRAN (R 4.2.0)\r\n#&gt;  rstudioapi    0.14       2022-08-22 [1] CRAN (R 4.2.0)\r\n#&gt;  sessioninfo   1.2.2      2021-12-06 [1] CRAN (R 4.2.0)\r\n#&gt;  styler        1.9.1      2023-03-04 [1] CRAN (R 4.2.0)\r\n#&gt;  tibble        3.1.8      2022-07-22 [1] CRAN (R 4.2.0)\r\n#&gt;  tidyselect    1.2.0      2022-10-10 [1] CRAN (R 4.2.0)\r\n#&gt;  utf8          1.2.3      2023-01-31 [1] CRAN (R 4.2.0)\r\n#&gt;  vctrs         0.5.2.9000 2023-03-08 [1] Github (r-lib/vctrs@bdea1ce)\r\n#&gt;  withr         2.5.0      2022-03-03 [1] CRAN (R 4.2.0)\r\n#&gt;  xfun          0.37       2023-01-31 [1] CRAN (R 4.2.0)\r\n#&gt;  yaml          2.3.7      2023-01-23 [1] CRAN (R 4.2.0)\r\n#&gt; \r\n#&gt;  [1] /Library/Frameworks/R.framework/Versions/4.2/Resources/library\r\n#&gt; \r\n#&gt; ──────────────────────────────────────────────────────────────────────────────\r\n```\r\n\r\n&lt;\/details&gt;",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "After much experimenting I found that the first pipeline worked to add a row with the sum of the D and E rows. I would have thought one could replace `DE` with the expression to calculate it as in the second pipeline (which gives the wrong answer) and not use `reframe` (which gives an error).\r\n\r\n```\r\nlibrary(dplyr)\r\npackageVersion(\"dplyr\")\r\n## [1] ‘1.1.3’\r\n\r\ndata2 &lt;- tibble(value = head(LETTERS, 5), # A to E\r\n   Q1 = rep(20, 5L),\r\n   Q2 = c(0, 40, 40, 20, 0),\r\n   Q3 = c(0, 40, 20, 0, 40))\r\n \r\n# 1. works\r\ndata2 %&gt;%\r\n  mutate(DE = value %in% c(\"D\", \"E\")) %&gt;%\r\n  reframe(add_row(., value = \"DE\", across(-1, ~ sum(DE * .x)))) %&gt;%\r\n  select(-DE)\r\n# A tibble: 6 × 4\r\n  value    Q1    Q2    Q3\r\n  &lt;chr&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n1 A        20     0     0\r\n2 B        20    40    40\r\n3 C        20    40    20\r\n4 D        20    20     0\r\n5 E        20     0    40\r\n6 DE       40    20    40\r\n \r\n# 2. replacing DE w expr to calc it gives wrong ans\r\ndata2 %&gt;%\r\n   reframe(add_row(., value = \"DE\", across(-1, ~ sum((value %in% c(\"D\", \"E\")) * .x))))\r\n## # A tibble: 6 × 4\r\n##   value    Q1    Q2    Q3\r\n##   &lt;chr&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n## 1 A        20     0     0\r\n## 2 B        20    40    40\r\n## 3 C        20    40    20\r\n## 4 D        20    20     0\r\n## 5 E        20     0    40\r\n## 6 DE        0     0     0\r\n \r\n# 3. removing reframe fails w error\r\ndata2 %&gt;%\r\n   mutate(DE = value %in% c(\"D\", \"E\")) %&gt;%\r\n   add_row(value = \"DE\", across(-1, ~ sum(DE * .x))) %&gt;%\r\n   select(-DE)\r\n## Error in `across()`:\r\n## ! Must only be used inside data-masking verbs like `mutate()`, `filter()`, and `group_by()`.\r\n## Run `rlang::last_trace()` to see where the error occurred.\r\n```\r\n\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "This is referring to **dataframe/tibble** attributes, not tibble *column* attributes. The CRAN install of dplyr 1.1.0 sometimes drops attributes:\r\n\r\n```r\r\nd = mtcars\r\nattr(d, \"foo\") = \"bar\"\r\nattr(d, \"foo\")\r\n#&gt; [1] \"bar\"\r\n\r\n## preserved\r\nd |&gt; select(cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; rename(cyl2 = cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; arrange(cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; group_by(cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; mutate(mpg2 = mpg) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; transmute(mpg2 = mpg) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; filter(cyl == 1L) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; count(cyl) |&gt; attr(\"foo\") \r\n#&gt; [1] \"bar\"\r\nd |&gt; bind_rows(d) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; bind_cols(select(d, cyl2 = cyl)) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\n\r\n\r\n## dropped\r\nd |&gt; group_by(cyl) |&gt; ungroup() |&gt; attr(\"foo\")\r\n#&gt; NULL\r\nd |&gt; summarize(mpg = max(mpg)) |&gt; attr(\"foo\")\r\n#&gt; NULL\r\n```\r\n\r\nI can understand why it might make sense for `summarize()` to drop attributes (but then why does `count()` preserve them?), but I don't see why `ungroup(group_by(...))` should drop attributes unilaterally. Given that almost all `dplyr` verbs preserve the attribute, I'm wondering if this is a bug/regression.\r\n\r\nThere are a variety of issues regarding attributes but they are all closed.\r\n\r\n- https://github.com/tidyverse/dplyr/issues/2432\r\n- https://github.com/tidyverse/dplyr/issues/5132\r\n- https://github.com/tidyverse/dplyr/issues/3429\r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Similar to #1179 with test from https://github.com/tidyverse/dplyr/commit/61b04c752d38e3d2bb24560e2b0c6d2d31a00199\r\n\r\nFrom my data:\r\n```\r\na &lt;- tibble::tribble(\r\n  ~REPORT_RESULT_UNIT,\r\n              \"µS/cm\",\r\n               \"mg/L\",\r\n               \"µg/L\",\r\n                 \"su\",\r\n                \"ntu\",\r\n           \"µmhos/cm\",\r\n           \"µmhos/cm\",\r\n               \"pg/L\",\r\n                 \"mV\",\r\n            \"Celsius\",\r\n               \"ng/L\",\r\n              \"µS/cm\"\r\n  )\r\n```\r\n\r\nWith this encoding:\r\n```\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[1])\r\n[1] \"latin1\"\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[12])\r\n[1] \"UTF-8\"\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[6])\r\n[1] \"UTF-8\"\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[7])\r\n[1] \"UTF-8\"\r\n\r\n```\r\n\r\nThen:\r\n```\r\na %&gt;% \r\n  distinct(REPORT_RESULT_UNIT) \r\n\r\n\r\n# # A tibble: 12 x 1\r\n# REPORT_RESULT_UNIT\r\n# &lt;chr&gt;             \r\n# 1 µS/cm             \r\n# 2 mg/L              \r\n# 3 µg/L              \r\n# 4 su                \r\n# 5 ntu               \r\n# 6 µmhos/cm          \r\n# 7 µmhos/cm          \r\n# 8 pg/L              \r\n# 9 mV                \r\n# 10 Celsius           \r\n# 11 ng/L              \r\n# 12 µS/cm     \r\n```\r\n\r\n```\r\n&gt; sessionInfo()\r\nR version 4.1.2 (2021-11-01)\r\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\r\nRunning under: Windows 10 x64 (build 19045)\r\n\r\nMatrix products: default\r\n\r\nlocale:\r\n[1] LC_COLLATE=English_Australia.1252  LC_CTYPE=English_Australia.1252    LC_MONETARY=English_Australia.1252 LC_NUMERIC=C                      \r\n[5] LC_TIME=English_Australia.1252    \r\n\r\nattached base packages:\r\n[1] stats     graphics  grDevices utils     datasets  methods   base     \r\n\r\nother attached packages:\r\n[1] dplyr_1.0.9    testthat_3.1.4\r\n```\r\n\r\nI note that this fails:\r\n```\r\nlibrary(testthat)\r\nlibrary(dplyr)\r\n\r\ntest_that(\"distinct respects encodings (#1179)\", {\r\n  x &lt;- c(\"Montr\\u00e9al\", \"Montr\\u00e9al\")\r\n  Encoding(x[2]) &lt;- \"\"\r\n  df &lt;- data.frame(x=x)\r\n  expect_equal( nrow(distinct(df)), 1L )\r\n})\r\n```\r\n\r\n```\r\n-- Failure (Line 5): distinct respects encodings (#1179) -----------------------\r\nnrow(distinct(df)) not equal to 1L.\r\n1/1 mismatches\r\n[1] 2 - 1 == 1\r\n\r\nError in reporter$stop_if_needed() : Test failed\r\n```\r\n\r\nThough when I try it with my data it is fine",</span>
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+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "I have a data frame that has a column with n. Vars are\r\n\r\nIdentifier\r\nGroupName\r\nn (which was a count used to determine group name)\r\n\r\nI have the same line of code that I run, so it is not a matter of me typing differently. I want to count the group name\r\n\r\ndata %&gt;% count(GroupName) %&gt;% distinct()\r\n\r\nSometimes when I run this code, it gives me a simple count of the different group names. Other times it weighs them based on n. Obviously it stops if I rename the n column, but the inconsistency of performance is very concerning.\r\n\r\nAre there known conflicts with other packages I might have loaded?",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Related to https://github.com/tidyverse/dplyr/issues/4723\r\n\r\nWith the introduction of `.by`, it seems reasonable to once again reconsider `rowwise()` as well. I think we are convinced that the _idea_ of rowwise is useful, but the implementation could possibly be improved. A few pain points:\r\n- `rowwise()` is a form of persistent grouping, but you rarely want it on for more than 1 operation\r\n- `ungroup()` is an odd verb for turning off rowwise behavior\r\n- It still sucks that you need `summarise(model = list(lm(...)))`, i.e. the `list()` wrapping is manual\r\n- Maintaining the `rowwise_df` class is difficult and error prone for us\r\n- There are _very_ few times where rowwise behavior is actually useful. I think the two cases are `mutate()` and `reframe()`.\r\n\r\n---\r\n\r\nWith that in mind, I'd like to suggest a two-part replacement for `rowwise()`:\r\n- Two per-operation rowwise verbs, `mutate_row()` and `reframe_row()`. These become the _only_ two places in dplyr where rowwise behavior is applicable.\r\n- Give `mutate()`, `summarise()`, `reframe()`, `mutate_row()`, and `reframe_row()` the ability to automatically wrap scalars in a list. i.e. if `vec_is(elt)` is `FALSE`, wrap automatically into a list. This means that value could _never_ exist in a data frame column as is, so there is no ambiguity about wrapping and it is fairly easy to explain.\r\n\r\nThose two proposals result in the following new patterns:\r\n\r\n```r\r\n# dplyr 1.1.0\r\niris %&gt;%\r\n  tidyr::nest(.by = Species) %&gt;%\r\n  rowwise(Species) %&gt;%\r\n  mutate(model = list(lm(Petal.Length ~ Sepal.Length, data = data))) %&gt;%\r\n  reframe(broom::tidy(model))\r\n   \r\n# New 1:\r\n# (note the lack of list(), and no persistant rowwise-ness)\r\n# (note how we carry Species along in the reframe_row() call)\r\niris %&gt;%\r\n  tidyr::nest(.by = Species) %&gt;%\r\n  mutate_row(model = lm(Petal.Length ~ Sepal.Length, data = data)) %&gt;%\r\n  reframe_row(Species, broom::tidy(model))\r\n\r\n# New 2:\r\n# (note that even summarise() doesn't need manual list() wrapping)\r\niris %&gt;%\r\n  summarise(\r\n    model = lm(Petal.Length ~ Sepal.Length, data = pick(everything())),\r\n    .by = Species\r\n  ) %&gt;%\r\n  reframe_row(Species, broom::tidy(model))\r\n\r\n# All result in:\r\n\r\n#&gt; # A tibble: 6 × 6\r\n#&gt;   Species    term         estimate std.error statistic  p.value\r\n#&gt;   &lt;fct&gt;      &lt;chr&gt;           &lt;dbl&gt;     &lt;dbl&gt;     &lt;dbl&gt;    &lt;dbl&gt;\r\n#&gt; 1 setosa     (Intercept)     0.803    0.344      2.34  2.38e- 2\r\n#&gt; 2 setosa     Sepal.Length    0.132    0.0685     1.92  6.07e- 2\r\n#&gt; 3 versicolor (Intercept)     0.185    0.514      0.360 7.20e- 1\r\n#&gt; 4 versicolor Sepal.Length    0.686    0.0863     7.95  2.59e-10\r\n#&gt; 5 virginica  (Intercept)     0.610    0.417      1.46  1.50e- 1\r\n#&gt; 6 virginica  Sepal.Length    0.750    0.0630    11.9   6.30e-16\r\n```\r\n\r\nThis two part proposal has the very nice property that the difference between `mutate()` and `mutate_row()` becomes _purely_ about column access:\r\n- `mutate()` accesses columns using `vec_slice()` / `[`\r\n- `mutate_row()` accesses columns using `vec_slice2()` / `[[`\r\n\r\nIn other words, rowwise has _nothing_ to do with the output type of each column expression, and you still get useful results.\r\n\r\nIn terms of other invariants, there is one related to `vec_size()`:\r\n- `mutate_row()` requires each expression to return an element of `vec_size() == 1`\r\n- `reframe_row()` allows each expression to return an element of any size\r\n- (the size invariant is enforced after list wrapping) \r\n\r\nOther niceties:\r\n- It becomes very clear when you are doing a rowwise operation, because it is in the name of the verb (similar to `.by` being in the verb)\r\n- Somewhat obvious, but it means rowwise behavior isn't persistent. You always have bare tibble in, bare tibble out, which greatly simplifies things.\r\n\r\n---\r\n\r\nExtra notes:\r\n- Somewhat obvious, but `mutate_row()` and `reframe_row()` won't get `.by` because they operation \"by row\"\r\n- We don't want to teach `.by` about rowwise behavior, like `.by = .row` or something. We want `.by` to be _pure_ tidyselect. Plus this special behavior would only apply for `mutate()` and `reframe()` and that would be very confusing.\r\n- We do _not_ need `summarise_row()`. This would have the _exact_ same semantics as `mutate_row()`, but would just drop unused columns (which can mostly be done with `.keep` in `mutate_row()`). In particular `summarise_row()` and `mutate_row()` would both have to have the `vec_size() == 1` invariant from above, so we really don't need both.\r\n- There is no need for `filter_row()`. The only useful thing I can think of is something like `filter_row(!is.null(model))` for filtering out `NULL` list elements. But you can do that way more efficiently with an ungrouped call to `filter(!funs::is_na(model))`.\r\n\r\n`mutate_row()` and `reframe_row()` mostly have the semantics of the wrappers below, but this doesn't do the automatic list-wrapping of scalars:\r\n\r\n```r\r\nmutate_row &lt;- function(.data, ...) {\r\n  .data &lt;- rowwise(.data)\r\n  .data &lt;- mutate(.data, ...)\r\n  ungroup(.data)\r\n}\r\n\r\nreframe_row &lt;- function(.data, ...) {\r\n  .data &lt;- rowwise(.data)\r\n  reframe(.data, ...)\r\n}\r\n```",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Related to\r\nhttps://github.com/tidyverse/dplyr/issues/14\r\nhttps://github.com/tidyverse/dplyr/issues/236\r\nhttps://github.com/tidyverse/dplyr/issues/4722\r\n\r\nWith the addition of `.by`, we now have less reliance on the `&lt;grouped_df&gt;` class in general. This means that it is probably a lot easier to add narrowly scoped grouping extensions that only affect specific verbs.\r\n\r\nFor example, `summarise()` could gain support for bootstrap summaries, sort of like what I did for strapgod https://github.com/DavisVaughan/strapgod. It could also gain support for rollup summaries, completing with syntax like `complete(x / (a * b))`, and maybe rolling window summaries.\r\n\r\nThe general idea is that instead of grouping by columns:\r\n\r\n```r\r\ndf %&gt;% summarise(mean = mean(x), .by = c(y, z))\r\n```\r\n\r\nyou could do this instead to generate 5 replicates of the data and then summarise the mean of each replicate:\r\n\r\n```r\r\ndf %&gt;% summarise(mean = mean(x), .rows = bootstraps(5))\r\n```\r\n\r\nThis theoretical `.rows` argument (name subject to change) would be mutually exclusive with `.by`. The implementation of `bootstraps()` would roughly look like:\r\n\r\n```r\r\nbootstraps &lt;- function(n) {\r\n  function (data) {\r\n    # Use `data` and `n` to generate a `group_data()` structure,\r\n    # i.e. with `n = 5` probably a `.bootstraps = 1:5` column and a `.rows = list(sample(5), sample(5), ...)` list col\r\n    tibble(...)\r\n  }\r\n}\r\n```\r\n\r\n`.rows` would take either:\r\n- A data frame containing a `group_data()`-like structure that identifies which rows of `data` go with each group, and what the keys are\r\n- Or a function of 1 argument, the original data, which would generate that group-data like data frame.\r\n\r\nRight now we think that the only verb that should have this argument is `summarise()`. This alternative grouping structure probably doesn't make a whole lot of sense for `mutate()`, `filter()`, `slice()`, etc.\r\n\r\nThis could be a solution to the fact that `.by` doesn't allow you to support `.drop = FALSE`. That `.drop` option is essentially only used with `summarise()`, so something like this could possibly replace it `summarise(df, .rows = no_drop(x, y))` which would internally just create the group-data structure that we already make with `compute_groups(drop = FALSE)`.\r\n\r\nA list of potential extensions:\r\n- `group(x, y, z)`, equivalent to `.by`\r\n- `rollup(x, y)`\r\n- `complete(x / (a * b))` Wilkinson-Rogers syntax\r\n- `no_drop(x, y)`, for `.drop = FALSE`, but with a better name. or `group(x, y, z, .drop = FALSE)`, or only use Wilkinson-Rogers syntax\r\n- `rolling(2)` for rolling summaries",</span>
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+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "If I group a dataset and apply the same function across multiple columns using `mutate(across(...))` I see a performance decrease compared to individually mutating the columns. It is 5.31s vs 0.053s in the reprex, but in my actual, much larger dataset the difference is 1.5 hours vs a couple of minutes.\r\n\r\n---\r\n\r\n`sessionInfo()`\r\n```r\r\nR version 4.3.1 (2023-06-16 ucrt)\r\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\r\nRunning under: Windows Server 2019 x64 (build 17763)\r\n\r\nMatrix products: default\r\n\r\n\r\nlocale:\r\n[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252\r\n[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    \r\n\r\ntime zone: America/New_York\r\ntzcode source: internal\r\n\r\nattached base packages:\r\n[1] stats     graphics  grDevices utils     datasets  methods   base     \r\n\r\nother attached packages:\r\n[1] modeldata_1.1.0 dplyr_1.1.2    \r\n\r\nloaded via a namespace (and not attached):\r\n [1] utf8_1.2.3        R6_2.5.1          tidyselect_1.2.0  magrittr_2.0.3    glue_1.6.2        tibble_3.2.1     \r\n [7] pkgconfig_2.0.3   generics_0.1.3    lifecycle_1.0.3   cli_3.6.1         fansi_1.0.4       vctrs_0.6.3      \r\n[13] withr_2.5.0       compiler_4.3.1    rstudioapi_0.15.0 tools_4.3.1       pillar_1.9.0      crayon_1.5.2     \r\n[19] rlang_1.1.1\r\n```\r\n---\r\nReprex\r\n```r\r\nlibrary(dplyr)\r\nlibrary(modeldata)\r\n\r\ndata(ames)\r\n\r\nstart_time1 &lt;- Sys.time()\r\names_calc1 &lt;- ames %&gt;%\r\n  group_by(Year_Built, MS_Zoning) %&gt;%\r\n  mutate(across(First_Flr_SF:TotRms_AbvGrd, mean, na.rm = TRUE, .names = '{.col}_mean')) %&gt;%\r\n  ungroup()\r\nstop_time1 &lt;- Sys.time()\r\n\r\nstart_time2 &lt;- Sys.time()\r\names_calc2 &lt;- ames %&gt;%\r\n  group_by(Year_Built, MS_Zoning) %&gt;%\r\n  mutate(First_Flr_SF_mean = mean(First_Flr_SF, na.rm = TRUE),\r\n         Second_Flr_SF_mean = mean(Second_Flr_SF, na.rm = TRUE),\r\n         Gr_Liv_Area_mean = mean(Gr_Liv_Area, na.rm = TRUE),\r\n         Bsmt_Full_Bath_mean = mean(Bsmt_Full_Bath, na.rm = TRUE),\r\n         Bsmt_Half_Bath_mean = mean(Bsmt_Half_Bath, na.rm = TRUE),\r\n         Full_Bath_mean = mean(Full_Bath, na.rm = TRUE),\r\n         Half_Bath_mean = mean(Half_Bath, na.rm = TRUE),\r\n         Bedroom_AbvGr_mean = mean(Bedroom_AbvGr, na.rm = TRUE),\r\n         Kitchen_AbvGr_mean = mean(Kitchen_AbvGr, na.rm = TRUE),\r\n         TotRms_AbvGrd_mean = mean(TotRms_AbvGrd, na.rm = TRUE)) %&gt;%\r\n  ungroup()\r\nstop_time2 &lt;- Sys.time()\r\n\r\nstop_time1 - start_time1 # Using across() takes 5.313556 secs\r\nstop_time2 - start_time2 # Individually mutating takes 0.05337405 secs\r\n```",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "In some recent exploration of `nest_join()`, I've decided that it is lacking some features that would make it more powerful and generic. They are:\r\n\r\n- `nest = c(\"y\", \"x\", \"both\")`, an argument that would decide which inputs should be nested. Right now, we can only get the behavior of `nest = \"y\"`, but `nest = \"both\"` is particularly useful to replace something like this `left_join(group_nest(x, g), group_nest(y, g), by = g)`. It would interact with the `name = NULL` argument.\r\n  - `nest = \"y\"` or `nest = \"x\"`: `name = NULL` autonames based on the relevant input, otherwise can be a single string\r\n  - `nest = \"both\"`: `name = NULL` autonames based on both inputs, otherwise must be a character vector of length 2\r\n\r\n- `type = c(\"left\", \"right\", \"inner\", \"full\")`, an argument that describes which type of join you'd like to do. Right now, `nest_join()` really only does the semantics of a left-join (keep all rows from x, drop unmatched rows from y). I think it would be pretty nice to be able to do all types of joins.\r\n\r\n---\r\n\r\nContext is with ivs, where it is often useful to apply something like `iv_set_intersect()` between columns across multiple tables and _by key_. You need to be able to do `nest = \"both\"` to get two list-columns, and then you can apply `rowwise() %&gt;% summarise(iv = iv_set_intersect(x$iv, y$iv))` to that to apply the function per key.\r\n\r\nThis is the general idea that I want to make easier\r\n\r\n``` r\r\nlibrary(dplyr)\r\nlibrary(ivs)\r\nlibrary(clock)\r\n\r\nneedles &lt;- tibble(\r\n  g = c(1, 1, 1, 1, 2, 2, 2),\r\n  lower = date_build(2019, 1, c(1, 5, 10, 12, 2, 8, 9)),\r\n  upper = date_build(2019, 1, c(3, 7, 11, 14, 3, 11, 10))\r\n) %&gt;%\r\n  mutate(range = iv(lower, upper), .keep = \"unused\")\r\n\r\nhaystack &lt;- tibble(\r\n  g = c(1, 1, 1, 2, 2),\r\n  lower = date_build(2019, 1, c(2, 4, 12, 6, 14)),\r\n  upper = date_build(2019, 1, c(8, 11, 15, 9, 16))\r\n) %&gt;%\r\n  mutate(range = iv(lower, upper), .keep = \"unused\")\r\n\r\nneedles\r\n#&gt; # A tibble: 7 × 2\r\n#&gt;       g                    range\r\n#&gt;   &lt;dbl&gt;               &lt;iv&lt;date&gt;&gt;\r\n#&gt; 1     1 [2019-01-01, 2019-01-03)\r\n#&gt; 2     1 [2019-01-05, 2019-01-07)\r\n#&gt; 3     1 [2019-01-10, 2019-01-11)\r\n#&gt; 4     1 [2019-01-12, 2019-01-14)\r\n#&gt; 5     2 [2019-01-02, 2019-01-03)\r\n#&gt; 6     2 [2019-01-08, 2019-01-11)\r\n#&gt; 7     2 [2019-01-09, 2019-01-10)\r\nhaystack\r\n#&gt; # A tibble: 5 × 2\r\n#&gt;       g                    range\r\n#&gt;   &lt;dbl&gt;               &lt;iv&lt;date&gt;&gt;\r\n#&gt; 1     1 [2019-01-02, 2019-01-08)\r\n#&gt; 2     1 [2019-01-04, 2019-01-11)\r\n#&gt; 3     1 [2019-01-12, 2019-01-15)\r\n#&gt; 4     2 [2019-01-06, 2019-01-09)\r\n#&gt; 5     2 [2019-01-14, 2019-01-16)\r\n\r\nnested_needles &lt;- needles %&gt;%\r\n  group_by(g) %&gt;%\r\n  group_nest(.key = \"needles\")\r\n\r\nnested_haystack &lt;- haystack %&gt;%\r\n  group_by(g) %&gt;%\r\n  group_nest(.key = \"haystack\")\r\n\r\nnested_needles\r\n#&gt; # A tibble: 2 × 2\r\n#&gt;       g            needles\r\n#&gt;   &lt;dbl&gt; &lt;list&lt;tibble[,1]&gt;&gt;\r\n#&gt; 1     1            [4 × 1]\r\n#&gt; 2     2            [3 × 1]\r\nnested_haystack\r\n#&gt; # A tibble: 2 × 2\r\n#&gt;       g           haystack\r\n#&gt;   &lt;dbl&gt; &lt;list&lt;tibble[,1]&gt;&gt;\r\n#&gt; 1     1            [3 × 1]\r\n#&gt; 2     2            [2 × 1]\r\n\r\nleft_join(nested_needles, nested_haystack, by = join_by(g)) %&gt;%\r\n  rowwise(g) %&gt;%\r\n  summarise(range = iv_intersect(needles$range, haystack$range), .groups = \"drop\")\r\n#&gt; # A tibble: 5 × 2\r\n#&gt;       g                    range\r\n#&gt;   &lt;dbl&gt;               &lt;iv&lt;date&gt;&gt;\r\n#&gt; 1     1 [2019-01-02, 2019-01-03)\r\n#&gt; 2     1 [2019-01-05, 2019-01-07)\r\n#&gt; 3     1 [2019-01-10, 2019-01-11)\r\n#&gt; 4     1 [2019-01-12, 2019-01-14)\r\n#&gt; 5     2 [2019-01-08, 2019-01-09)\r\n```\r\n\r\n&lt;sup&gt;Created on 2022-10-11 with [reprex v2.0.2.9000](https://reprex.tidyverse.org)&lt;\/sup&gt;",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "A prior iteration of this request was [closed and locked as old](https://github.com/tidyverse/dplyr/issues/2183), but the asserted rationale does not address the request. It would be very useful if the `dplyr` mutating join functions allowed for an option to create a variable indicating which observations were joined (or not) from each data frame. This is a feature available in Stata's `merge` command and in Pandas (`indicator = True`). It has been implemented in R through the `statar` package, but it would be great to have it included in the `dplyr` mutating join functions. \r\n\r\nThe purported rationale for closing the earlier iteration of this feature request was that `tidylog` has solved the problem. The `tidylog` package is great, but it doesn't add any variables to the merged data frame, which was the initial feature request. \r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "I was getting a weird error inside the `mutate(across(...))` (see reprex), and by closely reading the stack trace I eventually realized it was because some function (presumably `dplyr::across`) is rewriting my function, changing the x in `desn$x` into e.g. `dens$mpg` (see line 10 of the stack trace). I guess this is because dplyr is rewriting every symbolic occurrence of the function arguments, including the `$x`. The rest of the reprex demonstrates 2 simple workarounds: using double bracket indexing to avoid referring to x as a symbol, and changing the argument name to avoid the name collision. However, debugging this error was rather confusing, since manually running the code on a test case didn't produce the error. I would expect the original code to work, since this function would work as expected in any other context, e.g. `lapply`.\r\n\r\n``` r\r\nlibrary(dplyr)\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\nmtcars &lt;- as_tibble(mtcars)\r\n\r\n## Fails\r\nmtcars %&gt;%\r\n  mutate(across(where(is.numeric), .names = \"{.col}_KDensity\", function(x) {\r\n    dens &lt;- density(x, bw = \"SJ\", n = 2048, na.rm = TRUE)\r\n    approx(dens$x, dens$y, xout = x, na.rm = FALSE, rule = 2)$y\r\n  }))\r\n#&gt; Error in `mutate()`:\r\n#&gt; ℹ In argument: `across(...)`.\r\n#&gt; Caused by error in `across()`:\r\n#&gt; ! Can't compute column `mpg_KDensity`.\r\n#&gt; Caused by error in `xy.coords()`:\r\n#&gt; ! 'x' and 'y' lengths differ\r\n#&gt; Backtrace:\r\n#&gt;      ▆\r\n#&gt;   1. ├─mtcars %&gt;% ...\r\n#&gt;   2. ├─dplyr::mutate(...)\r\n#&gt;   3. ├─dplyr:::mutate.data.frame(...)\r\n#&gt;   4. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\r\n#&gt;   5. │   ├─base::withCallingHandlers(...)\r\n#&gt;   6. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\r\n#&gt;   7. │     ├─base::withCallingHandlers(...)\r\n#&gt;   8. │     └─mask$eval_all_mutate(quo)\r\n#&gt;   9. │       └─dplyr (local) eval()\r\n#&gt;  10. ├─stats::approx(dens$mpg, dens$y, xout = mpg, na.rm = FALSE, rule = 2)\r\n#&gt;  11. │ └─stats:::regularize.values(x, y, ties, missing(ties), na.rm = na.rm)\r\n#&gt;  12. │   └─grDevices::xy.coords(x, y, setLab = FALSE)\r\n#&gt;  13. │     └─base::stop(\"'x' and 'y' lengths differ\")\r\n#&gt;  14. └─base::.handleSimpleError(...)\r\n#&gt;  15.   └─dplyr (local) h(simpleError(msg, call))\r\n#&gt;  16.     └─rlang::abort(msg, call = call(\"across\"), parent = cnd)\r\n\r\n## Succeeds\r\nmtcars %&gt;%\r\n  mutate(across(where(is.numeric), .names = \"{.col}_KDensity\", function(x) {\r\n    dens &lt;- density(x, bw = \"SJ\", n = 2048, na.rm = TRUE)\r\n    approx(dens[[\"x\"]], dens$y, xout = x, na.rm = FALSE, rule = 2)$y\r\n  }))\r\n#&gt; # A tibble: 32 × 22\r\n#&gt;      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\r\n#&gt;    &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt;  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\r\n#&gt;  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\r\n#&gt;  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\r\n#&gt;  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\r\n#&gt;  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\r\n#&gt;  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\r\n#&gt;  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\r\n#&gt;  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\r\n#&gt;  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\r\n#&gt; 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\r\n#&gt; # ℹ 22 more rows\r\n#&gt; # ℹ 11 more variables: mpg_KDensity &lt;dbl&gt;, cyl_KDensity &lt;dbl&gt;,\r\n#&gt; #   disp_KDensity &lt;dbl&gt;, hp_KDensity &lt;dbl&gt;, drat_KDensity &lt;dbl&gt;,\r\n#&gt; #   wt_KDensity &lt;dbl&gt;, qsec_KDensity &lt;dbl&gt;, vs_KDensity &lt;dbl&gt;,\r\n#&gt; #   am_KDensity &lt;dbl&gt;, gear_KDensity &lt;dbl&gt;, carb_KDensity &lt;dbl&gt;\r\n\r\n## Also succeeds\r\nmtcars %&gt;%\r\n  mutate(across(where(is.numeric), .names = \"{.col}_KDensity\", function(xx) {\r\n    dens &lt;- density(xx, bw = \"SJ\", n = 2048, na.rm = TRUE)\r\n    approx(dens$x, dens$y, xout = xx, na.rm = FALSE, rule = 2)$y\r\n  }))\r\n#&gt; # A tibble: 32 × 22\r\n#&gt;      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\r\n#&gt;    &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt;  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\r\n#&gt;  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\r\n#&gt;  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\r\n#&gt;  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\r\n#&gt;  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\r\n#&gt;  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\r\n#&gt;  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\r\n#&gt;  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\r\n#&gt;  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\r\n#&gt; 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\r\n#&gt; # ℹ 22 more rows\r\n#&gt; # ℹ 11 more variables: mpg_KDensity &lt;dbl&gt;, cyl_KDensity &lt;dbl&gt;,\r\n#&gt; #   disp_KDensity &lt;dbl&gt;, hp_KDensity &lt;dbl&gt;, drat_KDensity &lt;dbl&gt;,\r\n#&gt; #   wt_KDensity &lt;dbl&gt;, qsec_KDensity &lt;dbl&gt;, vs_KDensity &lt;dbl&gt;,\r\n#&gt; #   am_KDensity &lt;dbl&gt;, gear_KDensity &lt;dbl&gt;, carb_KDensity &lt;dbl&gt;\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-07-24 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;",</span>
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+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "I thought I could use map over a list of data frames to rename them using `rename_with()` and a tidyselector like `matches()`, whether or not each data frame has a matching column name. Now it looks as though that is not longer possible (#6688). \r\n\r\nThat's all fine and good. Now I see I can just use `rename()`, which does not error. But I think the error for `rename_with()` could be more clear by saying that there is no match. \r\n\r\nLastly, I'm curious: why the difference in erroring vs. not between `rename()` and `rename_with()`?\r\n\r\n``` r\r\nlibrary(tidyverse)\r\n\r\n# No error\r\nmtcars |&gt; rename(\"joe\" = matches(\"qwerty\")) |&gt; head(1)\r\n#&gt;           mpg cyl disp  hp drat   wt  qsec vs am gear carb\r\n#&gt; Mazda RX4  21   6  160 110  3.9 2.62 16.46  0  1    4    4\r\n\r\n# Hinting error\r\nmtcars |&gt; rename_with(~ \"joe\", qwerty)\r\n#&gt; Error in `rename_with()`:\r\n#&gt; ! Can't subset columns that don't exist.\r\n#&gt; ✖ Column `qwerty` doesn't exist.\r\n#&gt; Backtrace:\r\n#&gt;      ▆\r\n#&gt;   1. ├─dplyr::rename_with(mtcars, ~\"joe\", qwerty)\r\n#&gt;   2. ├─dplyr:::rename_with.data.frame(mtcars, ~\"joe\", qwerty)\r\n#&gt;   3. │ └─tidyselect::eval_select(enquo(.cols), .data, allow_rename = FALSE)\r\n#&gt;   4. │   └─tidyselect:::eval_select_impl(...)\r\n#&gt;   5. │     ├─tidyselect:::with_subscript_errors(...)\r\n#&gt;   6. │     │ └─rlang::try_fetch(...)\r\n#&gt;   7. │     │   └─base::withCallingHandlers(...)\r\n#&gt;   8. │     └─tidyselect:::vars_select_eval(...)\r\n#&gt;   9. │       └─tidyselect:::walk_data_tree(expr, data_mask, context_mask)\r\n#&gt;  10. │         └─tidyselect:::as_indices_sel_impl(...)\r\n#&gt;  11. │           └─tidyselect:::as_indices_impl(...)\r\n#&gt;  12. │             └─tidyselect:::chr_as_locations(x, vars, call = call, arg = arg)\r\n#&gt;  13. │               └─vctrs::vec_as_location(...)\r\n#&gt;  14. └─vctrs (local) `&lt;fn&gt;`()\r\n#&gt;  15.   └─vctrs:::stop_subscript_oob(...)\r\n#&gt;  16.     └─vctrs:::stop_subscript(...)\r\n#&gt;  17.       └─rlang::abort(...)\r\n\r\n# Less helpful error\r\nmtcars |&gt; rename_with(~ \"joe\", matches(\"qwerty\"))\r\n#&gt; Error in `rename_with()`:\r\n#&gt; ! `.fn` must return a vector of length 0, not 1.\r\n#&gt; Backtrace:\r\n#&gt;     ▆\r\n#&gt;  1. ├─dplyr::rename_with(mtcars, ~\"joe\", matches(\"qwerty\"))\r\n#&gt;  2. └─dplyr:::rename_with.data.frame(mtcars, ~\"joe\", matches(\"qwerty\"))\r\n#&gt;  3.   └─cli::cli_abort(\"{.arg .fn} must return a vector of length {length(sel)}, not {length(new)}.\")\r\n#&gt;  4.     └─rlang::abort(...)\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-26 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "It seems that a performance regression has been introduced for `dplyr::rowwise()` in `{dplyr}` version 1.1.0.\r\n\r\nI give some reprexes below illustrating large differences in execution time when using this on v1.1 compared to v1.0.10.\r\n * A: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\r\n * B: The same example is much slower in v1.1.0: **51.5 seconds**.\r\n   * B2: Execution time of a function called `test_code_without_rowwise`, which is modified not to use `dplyr::rowwise()` doesn't suffer these slowdowns: **0.337 seconds**.\r\n * C: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is a similar duration in v1.1.1: **52.2 seconds**.\r\n\r\nThese seem to indicate that usage in `dplyr::rowwise` in v1.1.0+ is much slower than previous versions.\r\n\r\n*Note that we are using collapsable sections to improve readability of the code below. The functions in the collapsable sections are part of the reprexes.*\r\n\r\nA: Using `dplyr::rowwise()` in v1.0.10\r\n---\r\nExecution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;**Click to show definitions of functions which are part of this reprex**&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n```r\r\nbenchmark_dplyr_version_install_from_source(\"1.0.10\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.0.10 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 1.861705 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n\r\nB: Using `dplyr::rowwise()` in v1.1.0\r\n---\r\nThe same example is much slower in v1.1.0: **51.5 seconds**.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;Same functions as defined above are part of this reprex (Click to show)&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n```r\r\nbenchmark_dplyr_version_install_from_source(\"1.1.0\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 51.51825 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n### B2: Avoiding use of `dplyr::rowwise()` in v1.1.0\r\n\r\nThis time difference doesn't appear in v1.1.0 when `dplyr::rowwise()` isn't used, indicating that `rowwise()` is what's causing the slowdown.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;Same functions as above are included in this reprex, apart from `test_code` is replaced with `test_code_without_rowwise`&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code_without_rowwise = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    # rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code_without_rowwise()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n```r\r\nbenchmark_dplyr_version_install_from_source(\"1.1.0\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 0.3373294 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n\r\nC: Using `dplyr::rowwise()` in v1.1.1\r\n---\r\nExecution of the same function `test_code` is a similar duration in v1.1.1: **52.2 seconds**.\r\n\r\nNote that the timer starts after the package is installed.\r\n\r\n&lt;details&gt;\r\n&lt;summary&gt;Same functions as defined above are part of this reprex (Click to show)&lt;\/summary&gt;\r\n\r\n``` r\r\ntest_code = function() {\r\n  print(\"Now starting test...\")\r\n  library(dplyr)\r\n  library(magrittr)\r\n  \r\n  data.frame(count = 1:3000,\r\n             test_col = rep(c(\"a\", \"b\", \"c\", each = 1000))) %&gt;%\r\n    rowwise() %&gt;%\r\n    mutate(\r\n      col1 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col2 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col3 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col4 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col5 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      ),\r\n      col6 = recode(\r\n        test_col,\r\n        \"a\" = \"cat1\",\r\n        \"b\" = \"cat2\",\r\n        \"v\" = \"cat3\"\r\n      )\r\n    )\r\n  print(\"Finished test\")\r\n}\r\n\r\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\r\n  print(\"Installing dplyr (test hasn't started yet)\")\r\n  unloadNamespace(\"dplyr\")\r\n  package = glue::glue(\"https://cran.r-project.org/package=dplyr&amp;version={dplyr_version_str}\")\r\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\r\n  stopifnot(packageVersion(\"dplyr\") == dplyr_version_str)\r\n  \r\n  start &lt;- Sys.time()\r\n  test_code()\r\n  print(\r\n    glue::glue(\r\n      \"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \"\r\n    )\r\n  )\r\n  print(Sys.time() - start)\r\n}\r\n```\r\n\r\n&lt;\/details&gt;\r\n\r\n``` r\r\nbenchmark_dplyr_version_install_from_source(\"1.1.1\")\r\n#&gt; [1] \"Installing dplyr (test hasn't started yet)\"\r\n#&gt; [1] \"Now starting test...\"\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n#&gt; [1] \"Finished test\"\r\n#&gt; The time taken for dplyr version 1.1.1 INSTALLED FROM SOURCE is: \r\n#&gt; Time difference of 52.21882 secs\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Maybe because of a delayed evaluation issue ?\r\n\r\n``` r\r\nbugged &lt;- function() {\r\n  withr::local_options(warn = 2)\r\n  rlang::warn(\"oops\") # or warning(\"oops\")\r\n  24\r\n}\r\n\r\n# as expected\r\n\r\nbugged()\r\n#&gt; Error: (converted from warning) oops\r\nsubset(cars, speed == bugged())\r\n#&gt; Error: (converted from warning) oops\r\n\r\n# unexpected\r\n\r\ndplyr::filter(cars, speed == bugged())\r\n#&gt; Warning: There was 1 warning in `dplyr::filter()`.\r\n#&gt; ℹ In argument: `speed == bugged()`.\r\n#&gt; Caused by warning:\r\n#&gt; ! oops\r\n#&gt;   speed dist\r\n#&gt; 1    24   70\r\n#&gt; 2    24   92\r\n#&gt; 3    24   93\r\n#&gt; 4    24  120\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-25 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "author_association": "CONTRIBUTOR",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "I was fixing [some Arrow test failures](https://github.com/apache/arrow/issues/35131) which are the result of the dev version of waldo correctly distinguishing between `NA_real_` and `NaN`, and came across this behaviour where `NaN` values are silently coerced by `dplyr::coalesce()` into `NA`s.  \r\n\r\nI'm unsure if this is a bug or just a difference in implementations/interpretations, but the second row in the `cwx` column in the example below is making me think it could be a bug?\r\n\r\n``` r\r\nlibrary(dplyr)\r\nlibrary(arrow)\r\n\r\ndf &lt;- tibble(\r\n  w = c(NaN, NaN, NA_real_),\r\n  x = c(NA_real_, NaN, 3.3),\r\n  y = c(NA_real_, 2.2, 3.3),\r\n  z = c(1.1, 2.2, 3.3)\r\n)\r\n\r\ndf %&gt;%\r\n  mutate(\r\n    cw = coalesce(w),\r\n    cz = coalesce(z),\r\n    cwx = coalesce(w, x),\r\n    cwxy = coalesce(w, x, y),\r\n    cwxyz = coalesce(w, x, y, z)\r\n  )\r\n#&gt; # A tibble: 3 × 9\r\n#&gt;       w     x     y     z    cw    cz   cwx  cwxy cwxyz\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1   NaN  NA    NA     1.1    NA   1.1  NA    NA     1.1\r\n#&gt; 2   NaN NaN     2.2   2.2    NA   2.2  NA     2.2   2.2\r\n#&gt; 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\r\n\r\ndf %&gt;%\r\n  arrow_table() %&gt;%\r\n  mutate(\r\n    cw = coalesce(w),\r\n    cz = coalesce(z),\r\n    cwx = coalesce(w, x),\r\n    cwxy = coalesce(w, x, y),\r\n    cwxyz = coalesce(w, x, y, z)\r\n  ) %&gt;%\r\n  collect()\r\n#&gt; # A tibble: 3 × 9\r\n#&gt;       w     x     y     z    cw    cz   cwx  cwxy cwxyz\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1   NaN  NA    NA     1.1   NaN   1.1  NA    NA     1.1\r\n#&gt; 2   NaN NaN     2.2   2.2   NaN   2.2 NaN     2.2   2.2\r\n#&gt; 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-04-24 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "`!!` inside `arrange()` is not warning like `all_of()`\r\n\r\nAside: I was surprised to see the lack of tidyselect for `arrange()`. Is the reason documented somewhere? It is not in [the tidyselect 1.2.0 blog post](https://www.tidyverse.org/blog/2022/10/tidyselect-1-2-0/).\r\n\r\n``` r\r\nlibrary(tidyverse)\r\ndf &lt;- tibble(x = 2:1)\r\nw &lt;- \"x\"\r\ndf |&gt; arrange(.data[[w]])\r\n#&gt; # A tibble: 2 × 1\r\n#&gt;       x\r\n#&gt;   &lt;int&gt;\r\n#&gt; 1     1\r\n#&gt; 2     2\r\ndf |&gt; arrange(!!w)\r\n#&gt; # A tibble: 2 × 1\r\n#&gt;       x\r\n#&gt;   &lt;int&gt;\r\n#&gt; 1     2\r\n#&gt; 2     1\r\ndf |&gt; arrange(all_of(w))\r\n#&gt; Warning: There was 1 warning in `arrange()`.\r\n#&gt; ℹ In argument: `..1 = all_of(w)`.\r\n#&gt; Caused by warning:\r\n#&gt; ! Using `all_of()` outside of a selecting function was deprecated in tidyselect\r\n#&gt;   1.2.0.\r\n#&gt; ℹ See details at\r\n#&gt;   &lt;https://tidyselect.r-lib.org/reference/faq-selection-context.html&gt;\r\n#&gt; # A tibble: 2 × 1\r\n#&gt;       x\r\n#&gt;   &lt;int&gt;\r\n#&gt; 1     2\r\n#&gt; 2     1\r\ndf |&gt; arrange(!!.env$w)\r\n#&gt; Error in eval(expr, envir, enclos): object '.env' not found\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-12 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n",</span>
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Is there some tidyeval way that I should be passing the `w` argument into the summary function?\r\n\r\n### Example with `dplyr 1.0.10`\r\n\r\n``` r\r\nlibrary(dplyr)\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n\r\n# Allow user to choose summary function(s)\r\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \r\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\r\n  data %&gt;% \r\n    group_by(across({{group.vars}})) %&gt;% \r\n    summarise(n=n(), across({{summary.vars}}, \r\n                            .fn=FUNS,\r\n                            .names=\"{.col}_{.fn}\"))\r\n}\r\n\r\n# These work in both 1.0.10 and 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp))\r\n#&gt; # A tibble: 1 × 3\r\n#&gt;       n mpg_mean hp_mean\r\n#&gt;   &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1    32     20.1    147.\r\n\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am))\r\n#&gt; `summarise()` has grouped output by 'vs'. You can override using the `.groups`\r\n#&gt; argument.\r\n#&gt; # A tibble: 4 × 5\r\n#&gt; # Groups:   vs [2]\r\n#&gt;      vs    am     n mpg_mean hp_mean\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1     0     0    12     15.0   194. \r\n#&gt; 2     0     1     6     19.8   181. \r\n#&gt; 3     1     0     7     20.7   102. \r\n#&gt; 4     1     1     7     28.4    80.6\r\n\r\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am), \r\n               FUNS=c(mean=~mean(., na.rm=TRUE), \r\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\r\n#&gt; `summarise()` has grouped output by 'vs'. You can override using the `.groups`\r\n#&gt; argument.\r\n#&gt; # A tibble: 4 × 7\r\n#&gt; # Groups:   vs [2]\r\n#&gt;      vs    am     n mpg_mean mpg_mean.wted hp_mean hp_mean.wted\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;int&gt;    &lt;dbl&gt;         &lt;dbl&gt;   &lt;dbl&gt;        &lt;dbl&gt;\r\n#&gt; 1     0     0    12     15.0          15.1   194.         194. \r\n#&gt; 2     0     1     6     19.8          19.0   181.         198. \r\n#&gt; 3     1     0     7     20.7          20.4   102.         105. \r\n#&gt; 4     1     1     7     28.4          28.4    80.6         80.6\r\n\r\nsessionInfo()\r\n#&gt; R version 4.2.2 (2022-10-31)\r\n#&gt; Platform: aarch64-apple-darwin20 (64-bit)\r\n#&gt; Running under: macOS Ventura 13.2.1\r\n#&gt; \r\n#&gt; Matrix products: default\r\n#&gt; BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\r\n#&gt; LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\r\n#&gt; \r\n#&gt; locale:\r\n#&gt; [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\r\n#&gt; \r\n#&gt; attached base packages:\r\n#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     \r\n#&gt; \r\n#&gt; other attached packages:\r\n#&gt; [1] dplyr_1.0.10\r\n#&gt; \r\n#&gt; loaded via a namespace (and not attached):\r\n#&gt;  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \r\n#&gt;  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \r\n#&gt;  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \r\n#&gt; [13] R.oo_1.25.0       utf8_1.2.3        DBI_1.1.3         cli_3.6.1        \r\n#&gt; [17] withr_2.5.0       htmltools_0.5.4   yaml_2.3.7        digest_0.6.31    \r\n#&gt; [21] tibble_3.2.1      lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000 \r\n#&gt; [25] R.utils_2.12.2    fs_1.6.1          glue_1.6.2        evaluate_0.20    \r\n#&gt; [29] rmarkdown_2.20    reprex_2.0.2      compiler_4.2.2    pillar_1.8.1     \r\n#&gt; [33] generics_0.1.3    R.methodsS3_1.8.2 pkgconfig_2.0.3\r\n```\r\n\r\n### Same example, but with `dplyr 1.1.1`\r\n\r\n``` r\r\nlibrary(dplyr)\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\n\r\n# Allow user to choose summary function(s)\r\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \r\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\r\n  data %&gt;% \r\n    group_by(across({{group.vars}})) %&gt;% \r\n    summarise(n=n(), across({{summary.vars}}, \r\n                            .fn=FUNS,\r\n                            .names=\"{.col}_{.fn}\"))\r\n}\r\n\r\n# These work in both 1.0.10 and 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp))\r\n#&gt; # A tibble: 1 × 3\r\n#&gt;       n mpg_mean hp_mean\r\n#&gt;   &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1    32     20.1    147.\r\n\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am))\r\n#&gt; `summarise()` has grouped output by 'vs'. You can override using the `.groups`\r\n#&gt; argument.\r\n#&gt; # A tibble: 4 × 5\r\n#&gt; # Groups:   vs [2]\r\n#&gt;      vs    am     n mpg_mean hp_mean\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;int&gt;    &lt;dbl&gt;   &lt;dbl&gt;\r\n#&gt; 1     0     0    12     15.0   194. \r\n#&gt; 2     0     1     6     19.8   181. \r\n#&gt; 3     1     0     7     20.7   102. \r\n#&gt; 4     1     1     7     28.4    80.6\r\n\r\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\r\nmtcars %&gt;% fnc(c(mpg, hp), c(vs, am), \r\n               FUNS=c(mean=~mean(., na.rm=TRUE), \r\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\r\n#&gt; Error in `summarise()`:\r\n#&gt; ℹ In argument: `across(c(mpg, hp), .fn = FUNS, .names =\r\n#&gt;   \"{.col}_{.fn}\")`.\r\n#&gt; ℹ In group 1: `vs = 0`, `am = 0`.\r\n#&gt; Caused by error in `across()`:\r\n#&gt; ! Can't compute column `mpg_mean.wted`.\r\n#&gt; Caused by error in `weighted.mean.default()`:\r\n#&gt; ! object 'cyl' not found\r\n#&gt; Backtrace:\r\n#&gt;      ▆\r\n#&gt;   1. ├─mtcars %&gt;% ...\r\n#&gt;   2. ├─global fnc(...)\r\n#&gt;   3. │ └─data %&gt;% group_by(across({{ group.vars }})) %&gt;% ...\r\n#&gt;   4. ├─dplyr::summarise(...)\r\n#&gt;   5. ├─dplyr:::summarise.grouped_df(...)\r\n#&gt;   6. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, \"summarise\")\r\n#&gt;   7. │   ├─base::withCallingHandlers(...)\r\n#&gt;   8. │   └─dplyr:::map(quosures, summarise_eval_one, mask = mask)\r\n#&gt;   9. │     └─base::lapply(.x, .f, ...)\r\n#&gt;  10. │       └─dplyr (local) FUN(X[[i]], ...)\r\n#&gt;  11. │         ├─base::withCallingHandlers(...)\r\n#&gt;  12. │         └─mask$eval_all_summarise(quo)\r\n#&gt;  13. │           └─dplyr (local) eval()\r\n#&gt;  14. ├─`&lt;rlng_lm_&gt;`(mpg)\r\n#&gt;  15. │ ├─stats::weighted.mean(., w = cyl, na.rm = TRUE)\r\n#&gt;  16. │ └─stats:::weighted.mean.default(., w = cyl, na.rm = TRUE)\r\n#&gt;  17. └─base::.handleSimpleError(...)\r\n#&gt;  18.   └─dplyr (local) h(simpleError(msg, call))\r\n#&gt;  19.     └─rlang::abort(msg, call = call(\"across\"), parent = cnd)\r\n\r\nsessionInfo()\r\n#&gt; R version 4.2.2 (2022-10-31)\r\n#&gt; Platform: aarch64-apple-darwin20 (64-bit)\r\n#&gt; Running under: macOS Ventura 13.2.1\r\n#&gt; \r\n#&gt; Matrix products: default\r\n#&gt; BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\r\n#&gt; LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\r\n#&gt; \r\n#&gt; locale:\r\n#&gt; [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\r\n#&gt; \r\n#&gt; attached base packages:\r\n#&gt; [1] stats     graphics  grDevices utils     datasets  methods   base     \r\n#&gt; \r\n#&gt; other attached packages:\r\n#&gt; [1] dplyr_1.1.1\r\n#&gt; \r\n#&gt; loaded via a namespace (and not attached):\r\n#&gt;  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \r\n#&gt;  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \r\n#&gt;  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \r\n#&gt; [13] R.oo_1.25.0       utf8_1.2.3        cli_3.6.0         withr_2.5.0      \r\n#&gt; [17] htmltools_0.5.4   yaml_2.3.7        digest_0.6.31     tibble_3.2.1     \r\n#&gt; [21] lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000  R.utils_2.12.2   \r\n#&gt; [25] fs_1.6.1          glue_1.6.2        evaluate_0.20     rmarkdown_2.20   \r\n#&gt; [29] reprex_2.0.2      compiler_4.2.2    pillar_1.8.1      generics_0.1.3   \r\n#&gt; [33] R.methodsS3_1.8.2 pkgconfig_2.0.3\r\n```\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Right now these eventually just do `summarise(n = n())` or `mutate(n = n())` at some point, but that can be very slow with many groups. We already have `vec_count()`, which should be much much faster than `count()` with many groups. We could also add some kind of vctrs primitive that works like a windowed count for `add_count()`, or just build on top of `vec_count()`'s result plus an additional call to `vec_match()`.\r\n\r\nWe'd have to think through how weighted counts would work, maybe `vec_count()` needs support for a weight argument (a double vector).\r\n\r\nMotivation is something like this, and flights isn't even that big. Roughly 55k groups here.\r\n\r\n``` r\r\nlibrary(dplyr)\r\nlibrary(nycflights13)\r\n\r\nbench::mark(\r\n  count(flights, dep_time, dep_delay),\r\n  vctrs::vec_count(flights[c(\"dep_time\", \"dep_delay\")]),\r\n  check = FALSE\r\n)\r\n#&gt; Warning: Some expressions had a GC in every iteration; so filtering is\r\n#&gt; disabled.\r\n#&gt; # A tibble: 2 × 6\r\n#&gt;   expression                                                 min  median itr/s…¹\r\n#&gt;   &lt;bch:expr&gt;                                            &lt;bch:tm&gt; &lt;bch:t&gt;   &lt;dbl&gt;\r\n#&gt; 1 count(flights, dep_time, dep_delay)                    419.6ms 441.4ms    2.27\r\n#&gt; 2 vctrs::vec_count(flights[c(\"dep_time\", \"dep_delay\")])   17.3ms  21.5ms   42.7 \r\n#&gt; # … with 2 more variables: mem_alloc &lt;bch:byt&gt;, `gc/sec` &lt;dbl&gt;, and abbreviated\r\n#&gt; #   variable name ¹​`itr/sec`\r\n```\r\n\r\nAlso need to handle the fact that `...` and `wt` are data-masking, probably with `add_computed_columns()` like `distinct()`.",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Extracted from https://github.com/tidyverse/dplyr/issues/6933\r\n\r\nSometimes the function you apply in `across()` returns a tibble who's column names already uniquely identify that function (`TTR::TDI()` or `TTR::MACD()`), so you don't need to name the `list()` as that would be repetitive, and you don't need the `_1` or `_2` you get automatically.\r\n\r\nIt would be nice if you could set `.names = \"{.col}_\"` when `.unpack = TRUE` to handle this special case, but that runs the name uniqueness check too early. It creates two names called `var1_`, which do eventually get resolved _after_ the unpacking is done, and a second name uniqueness check is already done in `df_unpack()`, so I think we can skip the ones in `across_setup()` when `.unpack = TRUE`.\r\n\r\nEasiest way to do this is the probably give `across_setup()` a `name_repair` argument that we can set to `\"minimal\"` when `.unpack = TRUE`.\r\n\r\n``` r\r\nlibrary(dplyr, warn.conflicts = FALSE)\r\n\r\ndf &lt;- tibble(\r\n  var1 = seq(1, 100, 1)\r\n)\r\n\r\nmetric_a &lt;- function(x) {\r\n  tibble::tibble(a = x, a_info = x + 1)\r\n}\r\nmetric_b &lt;- function(x) {\r\n  tibble::tibble(b = x, b_info = x + 1)\r\n}\r\n\r\n# dont need 1 and 2 here\r\ndf |&gt;\r\n  mutate(across(\r\n    var1,\r\n    list(\r\n      \\(.x) metric_a(.x),\r\n      \\(.x) metric_b(.x)\r\n    ),\r\n    .unpack = TRUE\r\n  ))\r\n#&gt; # A tibble: 100 × 5\r\n#&gt;     var1 var1_1_a var1_1_a_info var1_2_b var1_2_b_info\r\n#&gt;    &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;\r\n#&gt;  1     1        1             2        1             2\r\n#&gt;  2     2        2             3        2             3\r\n#&gt;  3     3        3             4        3             4\r\n#&gt;  4     4        4             5        4             5\r\n#&gt;  5     5        5             6        5             6\r\n#&gt;  6     6        6             7        6             7\r\n#&gt;  7     7        7             8        7             8\r\n#&gt;  8     8        8             9        8             9\r\n#&gt;  9     9        9            10        9            10\r\n#&gt; 10    10       10            11       10            11\r\n#&gt; # ℹ 90 more rows\r\n\r\n# this is also repetitive\r\ndf |&gt;\r\n  mutate(across(\r\n    var1,\r\n    list(\r\n      a = \\(.x) metric_a(.x),\r\n      b = \\(.x) metric_b(.x)\r\n    ),\r\n    .unpack = TRUE\r\n  ))\r\n#&gt; # A tibble: 100 × 5\r\n#&gt;     var1 var1_a_a var1_a_a_info var1_b_b var1_b_b_info\r\n#&gt;    &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;    &lt;dbl&gt;         &lt;dbl&gt;\r\n#&gt;  1     1        1             2        1             2\r\n#&gt;  2     2        2             3        2             3\r\n#&gt;  3     3        3             4        3             4\r\n#&gt;  4     4        4             5        4             5\r\n#&gt;  5     5        5             6        5             6\r\n#&gt;  6     6        6             7        6             7\r\n#&gt;  7     7        7             8        7             8\r\n#&gt;  8     8        8             9        8             9\r\n#&gt;  9     9        9            10        9            10\r\n#&gt; 10    10       10            11       10            11\r\n#&gt; # ℹ 90 more rows\r\n\r\n# ideally:\r\ndf |&gt;\r\n  mutate(across(\r\n    var1,\r\n    list(\r\n      a = \\(.x) metric_a(.x),\r\n      b = \\(.x) metric_b(.x)\r\n    ),\r\n    .names = \"{.col}_\",\r\n    .unpack = TRUE\r\n  ))\r\n#&gt; Error in `mutate()`:\r\n#&gt; ℹ In argument: `across(...)`.\r\n#&gt; Caused by error in `across()`:\r\n#&gt; ! Names must be unique.\r\n#&gt; ✖ These names are duplicated:\r\n#&gt;   * \"var1_\" at locations 1 and 2.\r\n#&gt; Backtrace:\r\n#&gt;      ▆\r\n#&gt;   1. ├─dplyr::mutate(...)\r\n#&gt;   2. ├─dplyr:::mutate.data.frame(...)\r\n#&gt;   3. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\r\n#&gt;   4. │   ├─base::withCallingHandlers(...)\r\n#&gt;   5. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\r\n#&gt;   6. │     └─mask$eval_all_mutate(quo)\r\n#&gt;   7. │       └─dplyr (local) eval()\r\n#&gt;   8. └─dplyr::across(...)\r\n#&gt;   9.   └─dplyr:::across_setup(...)\r\n#&gt;  10.     └─vctrs::vec_as_names(...)\r\n#&gt;  11.       └─vctrs (local) `&lt;fn&gt;`()\r\n#&gt;  12.         └─vctrs:::validate_unique(names = names, arg = arg, call = call)\r\n#&gt;  13.           └─vctrs:::stop_names_must_be_unique(names, arg, call = call)\r\n#&gt;  14.             └─vctrs:::stop_names(...)\r\n#&gt;  15.               └─vctrs:::stop_vctrs(...)\r\n#&gt;  16.                 └─rlang::abort(message, class = c(class, \"vctrs_error\"), ..., call = call)\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-10-02 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Can we start to un-export any of these https://github.com/tidyverse/dplyr/blob/main/R/utils-tidy-eval.R?\r\n\r\nAlso, should we un-export `.data`? It doesn't belong on that help page, as noted in https://github.com/tidyverse/dplyr/pull/6801. We also don't export `.env` from dplyr, but those two are very closely related, and right now you can do `?dplyr::.data` but not `?dplyr::.env`.",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Please briefly describe your problem and what output you expect. If you have a question, please don't use this form. Instead, ask on &lt;https://stackoverflow.com/&gt; or &lt;https://community.rstudio.com/&gt;.\r\n\r\nPlease include a minimal reproducible example (AKA a reprex). If you've never heard of a [reprex](http://reprex.tidyverse.org/) before, start by reading &lt;https://www.tidyverse.org/help/#reprex&gt;.\r\n\r\n---\r\n\r\nHere my data is nested in one column called `dat`, then `.data` cannot detect a column with string, but `pick()` works as expect.\r\n\r\n``` r\r\nsuppressPackageStartupMessages(library(dplyr))\r\nlibrary(purrr)\r\ntest &lt;- tibble::tribble(\r\n  ~target, ~dat,\r\n  \"x\", data.frame(id = 1:5, x = 1:5)\r\n) \r\ntest |&gt; \r\n  mutate(\r\n    map2(\r\n      target, dat,\r\n      \\(target, dat) {\r\n        dat |&gt; \r\n          mutate(y = .data[[target]])\r\n      }\r\n    )\r\n  )\r\n#&gt; Error in eval(expr, envir, enclos): 找不到对象'target'\r\ntest |&gt; \r\n  mutate(\r\n    map2(\r\n      target, dat,\r\n      \\(target, dat) {\r\n        dat |&gt; \r\n          mutate(y = pick(all_of(target)))\r\n      }\r\n    )\r\n  )\r\n#&gt; # A tibble: 1 × 3\r\n#&gt;   target dat          `map2(...)` \r\n#&gt;   &lt;chr&gt;  &lt;list&gt;       &lt;list&gt;      \r\n#&gt; 1 x      &lt;df [5 × 2]&gt; &lt;df [5 × 3]&gt;\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-09-22 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n\r\n\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "It has gotten better after installing the dev version of dplyr (before a lot of time was wasted in `arg_match()`). But it has still a big overhead.\r\n\r\n``` r\r\nlibrary(dplyr)\r\n\r\nset.seed(1)\r\nn &lt;- 10e3\r\ndf &lt;- tibble(\r\n  id = sample(n, n, replace = TRUE),\r\n  x = runif(n)\r\n)\r\n\r\nbench::mark(\r\n  slice_max = df |&gt; \r\n    slice_max(x, n = 1, with_ties = FALSE, by = id),\r\n  arrange_slice = df |&gt;\r\n    arrange(desc(x)) |&gt; \r\n    slice(1, .by = id),\r\n  row_number = df |&gt;\r\n    filter(row_number(x) == n(), .by = id),\r\n  # can't check because the order is different\r\n  check = FALSE\r\n)\r\n#&gt; Warning: Some expressions had a GC in every iteration; so filtering is\r\n#&gt; disabled.\r\n#&gt; # A tibble: 3 × 6\r\n#&gt;   expression         min   median `itr/sec` mem_alloc `gc/sec`\r\n#&gt;   &lt;bch:expr&gt;    &lt;bch:tm&gt; &lt;bch:tm&gt;     &lt;dbl&gt; &lt;bch:byt&gt;    &lt;dbl&gt;\r\n#&gt; 1 slice_max      803.7ms  803.7ms      1.24    7.57MB     23.6\r\n#&gt; 2 arrange_slice  272.3ms  290.5ms      3.44    1.86MB     22.4\r\n#&gt; 3 row_number      91.3ms   96.5ms     10.4     4.04MB     22.4\r\n\r\n# just make sure that the three approaches give the same results\r\na1 &lt;- df |&gt; \r\n  slice_max(x, n = 1, with_ties = FALSE, by = id) |&gt; \r\n  arrange(id)\r\na2 &lt;- df |&gt;\r\n  arrange(desc(x)) |&gt; \r\n  slice(1, .by = id) |&gt; \r\n  arrange(id)\r\na3 &lt;- df |&gt;\r\n  filter(row_number(x) == n(), .by = id) |&gt; \r\n  arrange(id)\r\n\r\nidentical(a1, a2)\r\n#&gt; [1] TRUE\r\nidentical(a1, a3)\r\n#&gt; [1] TRUE\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-03-08 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;\r\n\r\n&lt;details style=\"margin-bottom:10px;\"&gt;\r\n&lt;summary&gt;\r\nSession info\r\n&lt;\/summary&gt;\r\n\r\n``` r\r\nsessioninfo::session_info()\r\n#&gt; ─ Session info ───────────────────────────────────────────────────────────────\r\n#&gt;  setting  value\r\n#&gt;  version  R version 4.2.0 (2022-04-22)\r\n#&gt;  os       macOS Big Sur/Monterey 10.16\r\n#&gt;  system   x86_64, darwin17.0\r\n#&gt;  ui       X11\r\n#&gt;  language (EN)\r\n#&gt;  collate  en_US.UTF-8\r\n#&gt;  ctype    en_US.UTF-8\r\n#&gt;  tz       UTC\r\n#&gt;  date     2023-03-08\r\n#&gt;  pandoc   2.19.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)\r\n#&gt; \r\n#&gt; ─ Packages ───────────────────────────────────────────────────────────────────\r\n#&gt;  package     * version    date (UTC) lib source\r\n#&gt;  bench         1.1.2      2021-11-30 [1] CRAN (R 4.2.0)\r\n#&gt;  cli           3.6.0      2023-01-09 [1] CRAN (R 4.2.0)\r\n#&gt;  digest        0.6.31     2022-12-11 [1] CRAN (R 4.2.0)\r\n#&gt;  dplyr       * 1.1.0.9000 2023-03-08 [1] Github (tidyverse/dplyr@2222d43)\r\n#&gt;  evaluate      0.20       2023-01-17 [1] CRAN (R 4.2.0)\r\n#&gt;  fansi         1.0.4      2023-01-22 [1] CRAN (R 4.2.0)\r\n#&gt;  fastmap       1.1.1      2023-02-24 [1] CRAN (R 4.2.0)\r\n#&gt;  fs            1.6.1      2023-02-06 [1] CRAN (R 4.2.0)\r\n#&gt;  generics      0.1.3      2022-07-05 [1] CRAN (R 4.2.0)\r\n#&gt;  glue          1.6.2      2022-02-24 [1] CRAN (R 4.2.0)\r\n#&gt;  htmltools     0.5.4      2022-12-07 [1] CRAN (R 4.2.0)\r\n#&gt;  knitr         1.42       2023-01-25 [1] CRAN (R 4.2.0)\r\n#&gt;  lifecycle     1.0.3.9000 2022-10-10 [1] Github (r-lib/lifecycle@80a1e52)\r\n#&gt;  magrittr      2.0.3      2022-03-30 [1] CRAN (R 4.2.0)\r\n#&gt;  pillar        1.8.1      2022-08-19 [1] CRAN (R 4.2.0)\r\n#&gt;  pkgconfig     2.0.3      2019-09-22 [1] CRAN (R 4.2.0)\r\n#&gt;  profmem       0.6.0      2020-12-13 [1] CRAN (R 4.2.0)\r\n#&gt;  purrr         1.0.1      2023-01-10 [1] CRAN (R 4.2.0)\r\n#&gt;  R.cache       0.16.0     2022-07-21 [1] CRAN (R 4.2.0)\r\n#&gt;  R.methodsS3   1.8.2      2022-06-13 [1] CRAN (R 4.2.0)\r\n#&gt;  R.oo          1.25.0     2022-06-12 [1] CRAN (R 4.2.0)\r\n#&gt;  R.utils       2.12.2     2022-11-11 [1] CRAN (R 4.2.0)\r\n#&gt;  R6            2.5.1      2021-08-19 [1] CRAN (R 4.2.0)\r\n#&gt;  reprex        2.0.2      2022-08-17 [1] CRAN (R 4.2.0)\r\n#&gt;  rlang         1.1.0      2023-03-07 [1] Github (r-lib/rlang@60159c7)\r\n#&gt;  rmarkdown     2.20       2023-01-19 [1] CRAN (R 4.2.0)\r\n#&gt;  rstudioapi    0.14       2022-08-22 [1] CRAN (R 4.2.0)\r\n#&gt;  sessioninfo   1.2.2      2021-12-06 [1] CRAN (R 4.2.0)\r\n#&gt;  styler        1.9.1      2023-03-04 [1] CRAN (R 4.2.0)\r\n#&gt;  tibble        3.1.8      2022-07-22 [1] CRAN (R 4.2.0)\r\n#&gt;  tidyselect    1.2.0      2022-10-10 [1] CRAN (R 4.2.0)\r\n#&gt;  utf8          1.2.3      2023-01-31 [1] CRAN (R 4.2.0)\r\n#&gt;  vctrs         0.5.2.9000 2023-03-08 [1] Github (r-lib/vctrs@bdea1ce)\r\n#&gt;  withr         2.5.0      2022-03-03 [1] CRAN (R 4.2.0)\r\n#&gt;  xfun          0.37       2023-01-31 [1] CRAN (R 4.2.0)\r\n#&gt;  yaml          2.3.7      2023-01-23 [1] CRAN (R 4.2.0)\r\n#&gt; \r\n#&gt;  [1] /Library/Frameworks/R.framework/Versions/4.2/Resources/library\r\n#&gt; \r\n#&gt; ──────────────────────────────────────────────────────────────────────────────\r\n```\r\n\r\n&lt;\/details&gt;",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "This is referring to **dataframe/tibble** attributes, not tibble *column* attributes. The CRAN install of dplyr 1.1.0 sometimes drops attributes:\r\n\r\n```r\r\nd = mtcars\r\nattr(d, \"foo\") = \"bar\"\r\nattr(d, \"foo\")\r\n#&gt; [1] \"bar\"\r\n\r\n## preserved\r\nd |&gt; select(cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; rename(cyl2 = cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; arrange(cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; group_by(cyl) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; mutate(mpg2 = mpg) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; transmute(mpg2 = mpg) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; filter(cyl == 1L) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; count(cyl) |&gt; attr(\"foo\") \r\n#&gt; [1] \"bar\"\r\nd |&gt; bind_rows(d) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\nd |&gt; bind_cols(select(d, cyl2 = cyl)) |&gt; attr(\"foo\")\r\n#&gt; [1] \"bar\"\r\n\r\n\r\n## dropped\r\nd |&gt; group_by(cyl) |&gt; ungroup() |&gt; attr(\"foo\")\r\n#&gt; NULL\r\nd |&gt; summarize(mpg = max(mpg)) |&gt; attr(\"foo\")\r\n#&gt; NULL\r\n```\r\n\r\nI can understand why it might make sense for `summarize()` to drop attributes (but then why does `count()` preserve them?), but I don't see why `ungroup(group_by(...))` should drop attributes unilaterally. Given that almost all `dplyr` verbs preserve the attribute, I'm wondering if this is a bug/regression.\r\n\r\nThere are a variety of issues regarding attributes but they are all closed.\r\n\r\n- https://github.com/tidyverse/dplyr/issues/2432\r\n- https://github.com/tidyverse/dplyr/issues/5132\r\n- https://github.com/tidyverse/dplyr/issues/3429\r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Similar to #1179 with test from https://github.com/tidyverse/dplyr/commit/61b04c752d38e3d2bb24560e2b0c6d2d31a00199\r\n\r\nFrom my data:\r\n```\r\na &lt;- tibble::tribble(\r\n  ~REPORT_RESULT_UNIT,\r\n              \"µS/cm\",\r\n               \"mg/L\",\r\n               \"µg/L\",\r\n                 \"su\",\r\n                \"ntu\",\r\n           \"µmhos/cm\",\r\n           \"µmhos/cm\",\r\n               \"pg/L\",\r\n                 \"mV\",\r\n            \"Celsius\",\r\n               \"ng/L\",\r\n              \"µS/cm\"\r\n  )\r\n```\r\n\r\nWith this encoding:\r\n```\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[1])\r\n[1] \"latin1\"\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[12])\r\n[1] \"UTF-8\"\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[6])\r\n[1] \"UTF-8\"\r\n&gt; Encoding(a$REPORT_RESULT_UNIT[7])\r\n[1] \"UTF-8\"\r\n\r\n```\r\n\r\nThen:\r\n```\r\na %&gt;% \r\n  distinct(REPORT_RESULT_UNIT) \r\n\r\n\r\n# # A tibble: 12 x 1\r\n# REPORT_RESULT_UNIT\r\n# &lt;chr&gt;             \r\n# 1 µS/cm             \r\n# 2 mg/L              \r\n# 3 µg/L              \r\n# 4 su                \r\n# 5 ntu               \r\n# 6 µmhos/cm          \r\n# 7 µmhos/cm          \r\n# 8 pg/L              \r\n# 9 mV                \r\n# 10 Celsius           \r\n# 11 ng/L              \r\n# 12 µS/cm     \r\n```\r\n\r\n```\r\n&gt; sessionInfo()\r\nR version 4.1.2 (2021-11-01)\r\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\r\nRunning under: Windows 10 x64 (build 19045)\r\n\r\nMatrix products: default\r\n\r\nlocale:\r\n[1] LC_COLLATE=English_Australia.1252  LC_CTYPE=English_Australia.1252    LC_MONETARY=English_Australia.1252 LC_NUMERIC=C                      \r\n[5] LC_TIME=English_Australia.1252    \r\n\r\nattached base packages:\r\n[1] stats     graphics  grDevices utils     datasets  methods   base     \r\n\r\nother attached packages:\r\n[1] dplyr_1.0.9    testthat_3.1.4\r\n```\r\n\r\nI note that this fails:\r\n```\r\nlibrary(testthat)\r\nlibrary(dplyr)\r\n\r\ntest_that(\"distinct respects encodings (#1179)\", {\r\n  x &lt;- c(\"Montr\\u00e9al\", \"Montr\\u00e9al\")\r\n  Encoding(x[2]) &lt;- \"\"\r\n  df &lt;- data.frame(x=x)\r\n  expect_equal( nrow(distinct(df)), 1L )\r\n})\r\n```\r\n\r\n```\r\n-- Failure (Line 5): distinct respects encodings (#1179) -----------------------\r\nnrow(distinct(df)) not equal to 1L.\r\n1/1 mismatches\r\n[1] 2 - 1 == 1\r\n\r\nError in reporter$stop_if_needed() : Test failed\r\n```\r\n\r\nThough when I try it with my data it is fine",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "\r\nwhen using bind_rows on a list of data.tables with keys, with either map_dfr or a do.call, the keys are not removed This is a problem, because the keys are not correct anymore, which means that later queries are using an index that is wrong. \r\n\r\nnot sure if I should report this under data.table or dplyr, but since the issue is in bin_rows, I guess it is dplyr.\r\n\r\n[here is the issue I filed under data.table](https://github.com/Rdatatable/data.table/issues/5587)\r\n\r\n\r\n\r\n\r\n```\r\n\r\n\r\nlibrary(data.table)\r\nlibrary(dplyr)\r\n\r\n\r\n\r\n\r\ndata &lt;- data.table(var1=c('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'), var2=c(rep(2016, 4), rep(2018, 4)), key=c('var1', 'var2'))\r\n\r\n\r\ntest1 &lt;- lapply(c(2018, 2016), function(x) data[var2 %in% c(x-1, x)])\r\n\r\n\r\ntest2 &lt;- do.call(bind_rows, test1)\r\n# wrong \r\ntest2[var1 %in% c('c', 'e'), .N]\r\n# right\r\nsum( test2$var1 %in% c('c', 'e') )\r\n\r\n\r\n```\r\n\r\nsame thing  happens w. map_dfr,that uses bind_rows under the hood. This is how I found the issue. It is very common in my workflow, and I suspect I am not the one.\r\n\r\n\r\ndoing the same with rbind removes the keys, which is the expected behaviour - as the index from the key are no longer valid.\r\n\r\n\r\n```\r\n\r\ntest2_rbind &lt;- do.call(rbind, test1) \r\n# here it is fine - because the keys not there, giving a wrong picture of the structure of the DT\r\ntest2_rbind[var1 %in% c('c', 'e'), .N]\r\n\r\n# when removing the keys, everything is fine. \r\nsetkey(test2, NULL)\r\ntest2[var1 %in% c('c', 'e'), .N]\r\n\r\n\r\n```\r\n\r\n\r\n\r\ncuriosly, using split() instead of lapply circumvents the issue - but this is not a solution, since typically you need to apply a function to the data, - splitting it and then recombining it with split() makes no sense. But I am including it here for completeness.\r\n\r\n\r\n```\r\n\r\n\r\ntest1 &lt;- split(data, data$var2)\r\ntest2 &lt;- do.call(bind_rows, test1)\r\n# right \r\ntest2[var1 %in% c('c', 'e'), .N]\r\n\r\n```\r\n\r\nsessionInfo\r\n\r\n```\r\n\r\nR version 4.2.2 (2022-10-31)\r\nPlatform: x86_64-pc-linux-gnu (64-bit)\r\nRunning under: Manjaro Linux\r\n\r\nMatrix products: default\r\nBLAS:   /usr/lib/libblas.so.3.11.0\r\nLAPACK: /usr/lib/liblapack.so.3.11.0\r\n\r\nlocale:\r\n [1] LC_CTYPE=en_DK.UTF-8       LC_NUMERIC=C\r\n [3] LC_TIME=en_DK.UTF-8        LC_COLLATE=en_DK.UTF-8\r\n [5] LC_MONETARY=en_DK.UTF-8    LC_MESSAGES=en_DK.UTF-8\r\n [7] LC_PAPER=en_DK.UTF-8       LC_NAME=C\r\n [9] LC_ADDRESS=C               LC_TELEPHONE=C\r\n[11] LC_MEASUREMENT=en_DK.UTF-8 LC_IDENTIFICATION=C\r\n\r\nattached base packages:\r\n[1] stats     graphics  grDevices utils     datasets  methods   base\r\n\r\nother attached packages:\r\n[1] dplyr_1.0.10      data.table_1.14.6\r\n\r\nloaded via a namespace (and not attached):\r\n [1] fansi_1.0.4      assertthat_0.2.1 utf8_1.2.2       R6_2.5.1\r\n [5] DBI_1.1.3        lifecycle_1.0.3  magrittr_2.0.3   pillar_1.8.1\r\n [9] rlang_1.0.6      cli_3.6.0        vctrs_0.5.2      generics_0.1.3\r\n[13] glue_1.6.2       compiler_4.2.2   pkgconfig_2.0.3  tidyselect_1.2.0\r\n[17] tibble_3.1.8\r\n\r\n\r\n\r\n```\r\n\r\n\r\n\r\n\r\n\r\n",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Note that this `filter()` call keeps the groups of `x` separated. i.e.  the groups of `2` and `1` are not aggregated together\r\n\r\n``` r\r\nlibrary(dplyr, warn.conflicts = FALSE)\r\n\r\ndf &lt;- tibble(x = c(2, 1, 2, 2, 1), y = c(3, 2, 1, 2, 4))\r\ndf\r\n#&gt; # A tibble: 5 × 2\r\n#&gt;       x     y\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1     2     3\r\n#&gt; 2     1     2\r\n#&gt; 3     2     1\r\n#&gt; 4     2     2\r\n#&gt; 5     1     4\r\n\r\n# Maintain group separation, we just take the first 2 per x group\r\ndf %&gt;% filter(row_number() %in% 1:2, .by = x)\r\n#&gt; # A tibble: 4 × 2\r\n#&gt;       x     y\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1     2     3\r\n#&gt; 2     1     2\r\n#&gt; 3     2     1\r\n#&gt; 4     1     4\r\n```\r\n\r\n`filter()` is simply about deciding which rows to keep, not about the ordering of the result.\r\n\r\nI think that `slice()` and `slice_head/tail/min/max()` should function the exact same way. They currently do not:\r\n\r\n``` r\r\n# These both group the results by `x`.\r\n# The difference is `.by` doesn't do an additional sort by `x`.\r\ndf %&gt;% slice(1:2, .by = x)\r\n#&gt; # A tibble: 4 × 2\r\n#&gt;       x     y\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1     2     3\r\n#&gt; 2     2     1\r\n#&gt; 3     1     2\r\n#&gt; 4     1     4\r\n\r\ndf %&gt;% group_by(x) %&gt;% slice(1:2)\r\n#&gt; # A tibble: 4 × 2\r\n#&gt; # Groups:   x [2]\r\n#&gt;       x     y\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1     1     2\r\n#&gt; 2     1     4\r\n#&gt; 3     2     3\r\n#&gt; 4     2     1\r\n```\r\n\r\nSlicing is purely about figuring out which rows to _keep_. It doesn't have anything to do with determining the order of said rows.\r\n\r\nThe current slice implementation is (implicitly) like a `reframe()` call instead.\r\n\r\n``` r\r\ndf %&gt;% reframe(.by = x, {\r\n  data &lt;- pick(everything())\r\n  data[row_number() %in% 1:2,]\r\n})\r\n#&gt; # A tibble: 4 × 2\r\n#&gt;       x     y\r\n#&gt;   &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt; 1     2     3\r\n#&gt; 2     2     1\r\n#&gt; 3     1     2\r\n#&gt; 4     1     4\r\n```\r\n\r\nI think the way to practically make it work like a `filter()` is to change the implementation to build up a logical vector the same size as `.data` to slice with. That would retain the row ordering of `.data`.\r\n\r\n---\r\n\r\nThe one `slice()` family exception to this is `slice_sample()`, which is not a filter. It can even generate more rows than you started with. Possibly this is a sign that `slice_*()` was an unfortunate prefix for that.\r\n\r\nFor this reason, `slice_sample()` should continue to aggregate groups together. It will just be slightly different, but that is okay.",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Related to https://github.com/tidyverse/dplyr/issues/4723\r\n\r\nWith the introduction of `.by`, it seems reasonable to once again reconsider `rowwise()` as well. I think we are convinced that the _idea_ of rowwise is useful, but the implementation could possibly be improved. A few pain points:\r\n- `rowwise()` is a form of persistent grouping, but you rarely want it on for more than 1 operation\r\n- `ungroup()` is an odd verb for turning off rowwise behavior\r\n- It still sucks that you need `summarise(model = list(lm(...)))`, i.e. the `list()` wrapping is manual\r\n- Maintaining the `rowwise_df` class is difficult and error prone for us\r\n- There are _very_ few times where rowwise behavior is actually useful. I think the two cases are `mutate()` and `reframe()`.\r\n\r\n---\r\n\r\nWith that in mind, I'd like to suggest a two-part replacement for `rowwise()`:\r\n- Two per-operation rowwise verbs, `mutate_row()` and `reframe_row()`. These become the _only_ two places in dplyr where rowwise behavior is applicable.\r\n- Give `mutate()`, `summarise()`, `reframe()`, `mutate_row()`, and `reframe_row()` the ability to automatically wrap scalars in a list. i.e. if `vec_is(elt)` is `FALSE`, wrap automatically into a list. This means that value could _never_ exist in a data frame column as is, so there is no ambiguity about wrapping and it is fairly easy to explain.\r\n\r\nThose two proposals result in the following new patterns:\r\n\r\n```r\r\n# dplyr 1.1.0\r\niris %&gt;%\r\n  tidyr::nest(.by = Species) %&gt;%\r\n  rowwise(Species) %&gt;%\r\n  mutate(model = list(lm(Petal.Length ~ Sepal.Length, data = data))) %&gt;%\r\n  reframe(broom::tidy(model))\r\n   \r\n# New 1:\r\n# (note the lack of list(), and no persistant rowwise-ness)\r\n# (note how we carry Species along in the reframe_row() call)\r\niris %&gt;%\r\n  tidyr::nest(.by = Species) %&gt;%\r\n  mutate_row(model = lm(Petal.Length ~ Sepal.Length, data = data)) %&gt;%\r\n  reframe_row(Species, broom::tidy(model))\r\n\r\n# New 2:\r\n# (note that even summarise() doesn't need manual list() wrapping)\r\niris %&gt;%\r\n  summarise(\r\n    model = lm(Petal.Length ~ Sepal.Length, data = pick(everything())),\r\n    .by = Species\r\n  ) %&gt;%\r\n  reframe_row(Species, broom::tidy(model))\r\n\r\n# All result in:\r\n\r\n#&gt; # A tibble: 6 × 6\r\n#&gt;   Species    term         estimate std.error statistic  p.value\r\n#&gt;   &lt;fct&gt;      &lt;chr&gt;           &lt;dbl&gt;     &lt;dbl&gt;     &lt;dbl&gt;    &lt;dbl&gt;\r\n#&gt; 1 setosa     (Intercept)     0.803    0.344      2.34  2.38e- 2\r\n#&gt; 2 setosa     Sepal.Length    0.132    0.0685     1.92  6.07e- 2\r\n#&gt; 3 versicolor (Intercept)     0.185    0.514      0.360 7.20e- 1\r\n#&gt; 4 versicolor Sepal.Length    0.686    0.0863     7.95  2.59e-10\r\n#&gt; 5 virginica  (Intercept)     0.610    0.417      1.46  1.50e- 1\r\n#&gt; 6 virginica  Sepal.Length    0.750    0.0630    11.9   6.30e-16\r\n```\r\n\r\nThis two part proposal has the very nice property that the difference between `mutate()` and `mutate_row()` becomes _purely_ about column access:\r\n- `mutate()` accesses columns using `vec_slice()` / `[`\r\n- `mutate_row()` accesses columns using `vec_slice2()` / `[[`\r\n\r\nIn other words, rowwise has _nothing_ to do with the output type of each column expression, and you still get useful results.\r\n\r\nIn terms of other invariants, there is one related to `vec_size()`:\r\n- `mutate_row()` requires each expression to return an element of `vec_size() == 1`\r\n- `reframe_row()` allows each expression to return an element of any size\r\n- (the size invariant is enforced after list wrapping) \r\n\r\nOther niceties:\r\n- It becomes very clear when you are doing a rowwise operation, because it is in the name of the verb (similar to `.by` being in the verb)\r\n- Somewhat obvious, but it means rowwise behavior isn't persistent. You always have bare tibble in, bare tibble out, which greatly simplifies things.\r\n\r\n---\r\n\r\nExtra notes:\r\n- Somewhat obvious, but `mutate_row()` and `reframe_row()` won't get `.by` because they operation \"by row\"\r\n- We don't want to teach `.by` about rowwise behavior, like `.by = .row` or something. We want `.by` to be _pure_ tidyselect. Plus this special behavior would only apply for `mutate()` and `reframe()` and that would be very confusing.\r\n- We do _not_ need `summarise_row()`. This would have the _exact_ same semantics as `mutate_row()`, but would just drop unused columns (which can mostly be done with `.keep` in `mutate_row()`). In particular `summarise_row()` and `mutate_row()` would both have to have the `vec_size() == 1` invariant from above, so we really don't need both.\r\n- There is no need for `filter_row()`. The only useful thing I can think of is something like `filter_row(!is.null(model))` for filtering out `NULL` list elements. But you can do that way more efficiently with an ungrouped call to `filter(!funs::is_na(model))`.\r\n\r\n`mutate_row()` and `reframe_row()` mostly have the semantics of the wrappers below, but this doesn't do the automatic list-wrapping of scalars:\r\n\r\n```r\r\nmutate_row &lt;- function(.data, ...) {\r\n  .data &lt;- rowwise(.data)\r\n  .data &lt;- mutate(.data, ...)\r\n  ungroup(.data)\r\n}\r\n\r\nreframe_row &lt;- function(.data, ...) {\r\n  .data &lt;- rowwise(.data)\r\n  reframe(.data, ...)\r\n}\r\n```",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "Related to\r\nhttps://github.com/tidyverse/dplyr/issues/14\r\nhttps://github.com/tidyverse/dplyr/issues/236\r\nhttps://github.com/tidyverse/dplyr/issues/4722\r\n\r\nWith the addition of `.by`, we now have less reliance on the `&lt;grouped_df&gt;` class in general. This means that it is probably a lot easier to add narrowly scoped grouping extensions that only affect specific verbs.\r\n\r\nFor example, `summarise()` could gain support for bootstrap summaries, sort of like what I did for strapgod https://github.com/DavisVaughan/strapgod. It could also gain support for rollup summaries, completing with syntax like `complete(x / (a * b))`, and maybe rolling window summaries.\r\n\r\nThe general idea is that instead of grouping by columns:\r\n\r\n```r\r\ndf %&gt;% summarise(mean = mean(x), .by = c(y, z))\r\n```\r\n\r\nyou could do this instead to generate 5 replicates of the data and then summarise the mean of each replicate:\r\n\r\n```r\r\ndf %&gt;% summarise(mean = mean(x), .rows = bootstraps(5))\r\n```\r\n\r\nThis theoretical `.rows` argument (name subject to change) would be mutually exclusive with `.by`. The implementation of `bootstraps()` would roughly look like:\r\n\r\n```r\r\nbootstraps &lt;- function(n) {\r\n  function (data) {\r\n    # Use `data` and `n` to generate a `group_data()` structure,\r\n    # i.e. with `n = 5` probably a `.bootstraps = 1:5` column and a `.rows = list(sample(5), sample(5), ...)` list col\r\n    tibble(...)\r\n  }\r\n}\r\n```\r\n\r\n`.rows` would take either:\r\n- A data frame containing a `group_data()`-like structure that identifies which rows of `data` go with each group, and what the keys are\r\n- Or a function of 1 argument, the original data, which would generate that group-data like data frame.\r\n\r\nRight now we think that the only verb that should have this argument is `summarise()`. This alternative grouping structure probably doesn't make a whole lot of sense for `mutate()`, `filter()`, `slice()`, etc.\r\n\r\nThis could be a solution to the fact that `.by` doesn't allow you to support `.drop = FALSE`. That `.drop` option is essentially only used with `summarise()`, so something like this could possibly replace it `summarise(df, .rows = no_drop(x, y))` which would internally just create the group-data structure that we already make with `compute_groups(drop = FALSE)`.\r\n\r\nA list of potential extensions:\r\n- `group(x, y, z)`, equivalent to `.by`\r\n- `rollup(x, y)`\r\n- `complete(x / (a * b))` Wilkinson-Rogers syntax\r\n- `no_drop(x, y)`, for `.drop = FALSE`, but with a better name. or `group(x, y, z, .drop = FALSE)`, or only use Wilkinson-Rogers syntax\r\n- `rolling(2)` for rolling summaries",</span>
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+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "If I group a dataset and apply the same function across multiple columns using `mutate(across(...))` I see a performance decrease compared to individually mutating the columns. It is 5.31s vs 0.053s in the reprex, but in my actual, much larger dataset the difference is 1.5 hours vs a couple of minutes.\r\n\r\n---\r\n\r\n`sessionInfo()`\r\n```r\r\nR version 4.3.1 (2023-06-16 ucrt)\r\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\r\nRunning under: Windows Server 2019 x64 (build 17763)\r\n\r\nMatrix products: default\r\n\r\n\r\nlocale:\r\n[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252\r\n[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    \r\n\r\ntime zone: America/New_York\r\ntzcode source: internal\r\n\r\nattached base packages:\r\n[1] stats     graphics  grDevices utils     datasets  methods   base     \r\n\r\nother attached packages:\r\n[1] modeldata_1.1.0 dplyr_1.1.2    \r\n\r\nloaded via a namespace (and not attached):\r\n [1] utf8_1.2.3        R6_2.5.1          tidyselect_1.2.0  magrittr_2.0.3    glue_1.6.2        tibble_3.2.1     \r\n [7] pkgconfig_2.0.3   generics_0.1.3    lifecycle_1.0.3   cli_3.6.1         fansi_1.0.4       vctrs_0.6.3      \r\n[13] withr_2.5.0       compiler_4.3.1    rstudioapi_0.15.0 tools_4.3.1       pillar_1.9.0      crayon_1.5.2     \r\n[19] rlang_1.1.1\r\n```\r\n---\r\nReprex\r\n```r\r\nlibrary(dplyr)\r\nlibrary(modeldata)\r\n\r\ndata(ames)\r\n\r\nstart_time1 &lt;- Sys.time()\r\names_calc1 &lt;- ames %&gt;%\r\n  group_by(Year_Built, MS_Zoning) %&gt;%\r\n  mutate(across(First_Flr_SF:TotRms_AbvGrd, mean, na.rm = TRUE, .names = '{.col}_mean')) %&gt;%\r\n  ungroup()\r\nstop_time1 &lt;- Sys.time()\r\n\r\nstart_time2 &lt;- Sys.time()\r\names_calc2 &lt;- ames %&gt;%\r\n  group_by(Year_Built, MS_Zoning) %&gt;%\r\n  mutate(First_Flr_SF_mean = mean(First_Flr_SF, na.rm = TRUE),\r\n         Second_Flr_SF_mean = mean(Second_Flr_SF, na.rm = TRUE),\r\n         Gr_Liv_Area_mean = mean(Gr_Liv_Area, na.rm = TRUE),\r\n         Bsmt_Full_Bath_mean = mean(Bsmt_Full_Bath, na.rm = TRUE),\r\n         Bsmt_Half_Bath_mean = mean(Bsmt_Half_Bath, na.rm = TRUE),\r\n         Full_Bath_mean = mean(Full_Bath, na.rm = TRUE),\r\n         Half_Bath_mean = mean(Half_Bath, na.rm = TRUE),\r\n         Bedroom_AbvGr_mean = mean(Bedroom_AbvGr, na.rm = TRUE),\r\n         Kitchen_AbvGr_mean = mean(Kitchen_AbvGr, na.rm = TRUE),\r\n         TotRms_AbvGrd_mean = mean(TotRms_AbvGrd, na.rm = TRUE)) %&gt;%\r\n  ungroup()\r\nstop_time2 &lt;- Sys.time()\r\n\r\nstop_time1 - start_time1 # Using across() takes 5.313556 secs\r\nstop_time2 - start_time2 # Individually mutating takes 0.05337405 secs\r\n```",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "In some recent exploration of `nest_join()`, I've decided that it is lacking some features that would make it more powerful and generic. They are:\r\n\r\n- `nest = c(\"y\", \"x\", \"both\")`, an argument that would decide which inputs should be nested. Right now, we can only get the behavior of `nest = \"y\"`, but `nest = \"both\"` is particularly useful to replace something like this `left_join(group_nest(x, g), group_nest(y, g), by = g)`. It would interact with the `name = NULL` argument.\r\n  - `nest = \"y\"` or `nest = \"x\"`: `name = NULL` autonames based on the relevant input, otherwise can be a single string\r\n  - `nest = \"both\"`: `name = NULL` autonames based on both inputs, otherwise must be a character vector of length 2\r\n\r\n- `type = c(\"left\", \"right\", \"inner\", \"full\")`, an argument that describes which type of join you'd like to do. Right now, `nest_join()` really only does the semantics of a left-join (keep all rows from x, drop unmatched rows from y). I think it would be pretty nice to be able to do all types of joins.\r\n\r\n---\r\n\r\nContext is with ivs, where it is often useful to apply something like `iv_set_intersect()` between columns across multiple tables and _by key_. You need to be able to do `nest = \"both\"` to get two list-columns, and then you can apply `rowwise() %&gt;% summarise(iv = iv_set_intersect(x$iv, y$iv))` to that to apply the function per key.\r\n\r\nThis is the general idea that I want to make easier\r\n\r\n``` r\r\nlibrary(dplyr)\r\nlibrary(ivs)\r\nlibrary(clock)\r\n\r\nneedles &lt;- tibble(\r\n  g = c(1, 1, 1, 1, 2, 2, 2),\r\n  lower = date_build(2019, 1, c(1, 5, 10, 12, 2, 8, 9)),\r\n  upper = date_build(2019, 1, c(3, 7, 11, 14, 3, 11, 10))\r\n) %&gt;%\r\n  mutate(range = iv(lower, upper), .keep = \"unused\")\r\n\r\nhaystack &lt;- tibble(\r\n  g = c(1, 1, 1, 2, 2),\r\n  lower = date_build(2019, 1, c(2, 4, 12, 6, 14)),\r\n  upper = date_build(2019, 1, c(8, 11, 15, 9, 16))\r\n) %&gt;%\r\n  mutate(range = iv(lower, upper), .keep = \"unused\")\r\n\r\nneedles\r\n#&gt; # A tibble: 7 × 2\r\n#&gt;       g                    range\r\n#&gt;   &lt;dbl&gt;               &lt;iv&lt;date&gt;&gt;\r\n#&gt; 1     1 [2019-01-01, 2019-01-03)\r\n#&gt; 2     1 [2019-01-05, 2019-01-07)\r\n#&gt; 3     1 [2019-01-10, 2019-01-11)\r\n#&gt; 4     1 [2019-01-12, 2019-01-14)\r\n#&gt; 5     2 [2019-01-02, 2019-01-03)\r\n#&gt; 6     2 [2019-01-08, 2019-01-11)\r\n#&gt; 7     2 [2019-01-09, 2019-01-10)\r\nhaystack\r\n#&gt; # A tibble: 5 × 2\r\n#&gt;       g                    range\r\n#&gt;   &lt;dbl&gt;               &lt;iv&lt;date&gt;&gt;\r\n#&gt; 1     1 [2019-01-02, 2019-01-08)\r\n#&gt; 2     1 [2019-01-04, 2019-01-11)\r\n#&gt; 3     1 [2019-01-12, 2019-01-15)\r\n#&gt; 4     2 [2019-01-06, 2019-01-09)\r\n#&gt; 5     2 [2019-01-14, 2019-01-16)\r\n\r\nnested_needles &lt;- needles %&gt;%\r\n  group_by(g) %&gt;%\r\n  group_nest(.key = \"needles\")\r\n\r\nnested_haystack &lt;- haystack %&gt;%\r\n  group_by(g) %&gt;%\r\n  group_nest(.key = \"haystack\")\r\n\r\nnested_needles\r\n#&gt; # A tibble: 2 × 2\r\n#&gt;       g            needles\r\n#&gt;   &lt;dbl&gt; &lt;list&lt;tibble[,1]&gt;&gt;\r\n#&gt; 1     1            [4 × 1]\r\n#&gt; 2     2            [3 × 1]\r\nnested_haystack\r\n#&gt; # A tibble: 2 × 2\r\n#&gt;       g           haystack\r\n#&gt;   &lt;dbl&gt; &lt;list&lt;tibble[,1]&gt;&gt;\r\n#&gt; 1     1            [3 × 1]\r\n#&gt; 2     2            [2 × 1]\r\n\r\nleft_join(nested_needles, nested_haystack, by = join_by(g)) %&gt;%\r\n  rowwise(g) %&gt;%\r\n  summarise(range = iv_intersect(needles$range, haystack$range), .groups = \"drop\")\r\n#&gt; # A tibble: 5 × 2\r\n#&gt;       g                    range\r\n#&gt;   &lt;dbl&gt;               &lt;iv&lt;date&gt;&gt;\r\n#&gt; 1     1 [2019-01-02, 2019-01-03)\r\n#&gt; 2     1 [2019-01-05, 2019-01-07)\r\n#&gt; 3     1 [2019-01-10, 2019-01-11)\r\n#&gt; 4     1 [2019-01-12, 2019-01-14)\r\n#&gt; 5     2 [2019-01-08, 2019-01-09)\r\n```\r\n\r\n&lt;sup&gt;Created on 2022-10-11 with [reprex v2.0.2.9000](https://reprex.tidyverse.org)&lt;\/sup&gt;",</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "A prior iteration of this request was [closed and locked as old](https://github.com/tidyverse/dplyr/issues/2183), but the asserted rationale does not address the request. It would be very useful if the `dplyr` mutating join functions allowed for an option to create a variable indicating which observations were joined (or not) from each data frame. This is a feature available in Stata's `merge` command and in Pandas (`indicator = True`). It has been implemented in R through the `statar` package, but it would be great to have it included in the `dplyr` mutating join functions. \r\n\r\nThe purported rationale for closing the earlier iteration of this feature request was that `tidylog` has solved the problem. The `tidylog` package is great, but it doesn't add any variables to the merged data frame, which was the initial feature request. \r\n",</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     "body": "I was getting a weird error inside the `mutate(across(...))` (see reprex), and by closely reading the stack trace I eventually realized it was because some function (presumably `dplyr::across`) is rewriting my function, changing the x in `desn$x` into e.g. `dens$mpg` (see line 10 of the stack trace). I guess this is because dplyr is rewriting every symbolic occurrence of the function arguments, including the `$x`. The rest of the reprex demonstrates 2 simple workarounds: using double bracket indexing to avoid referring to x as a symbol, and changing the argument name to avoid the name collision. However, debugging this error was rather confusing, since manually running the code on a test case didn't produce the error. I would expect the original code to work, since this function would work as expected in any other context, e.g. `lapply`.\r\n\r\n``` r\r\nlibrary(dplyr)\r\n#&gt; \r\n#&gt; Attaching package: 'dplyr'\r\n#&gt; The following objects are masked from 'package:stats':\r\n#&gt; \r\n#&gt;     filter, lag\r\n#&gt; The following objects are masked from 'package:base':\r\n#&gt; \r\n#&gt;     intersect, setdiff, setequal, union\r\nmtcars &lt;- as_tibble(mtcars)\r\n\r\n## Fails\r\nmtcars %&gt;%\r\n  mutate(across(where(is.numeric), .names = \"{.col}_KDensity\", function(x) {\r\n    dens &lt;- density(x, bw = \"SJ\", n = 2048, na.rm = TRUE)\r\n    approx(dens$x, dens$y, xout = x, na.rm = FALSE, rule = 2)$y\r\n  }))\r\n#&gt; Error in `mutate()`:\r\n#&gt; ℹ In argument: `across(...)`.\r\n#&gt; Caused by error in `across()`:\r\n#&gt; ! Can't compute column `mpg_KDensity`.\r\n#&gt; Caused by error in `xy.coords()`:\r\n#&gt; ! 'x' and 'y' lengths differ\r\n#&gt; Backtrace:\r\n#&gt;      ▆\r\n#&gt;   1. ├─mtcars %&gt;% ...\r\n#&gt;   2. ├─dplyr::mutate(...)\r\n#&gt;   3. ├─dplyr:::mutate.data.frame(...)\r\n#&gt;   4. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\r\n#&gt;   5. │   ├─base::withCallingHandlers(...)\r\n#&gt;   6. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\r\n#&gt;   7. │     ├─base::withCallingHandlers(...)\r\n#&gt;   8. │     └─mask$eval_all_mutate(quo)\r\n#&gt;   9. │       └─dplyr (local) eval()\r\n#&gt;  10. ├─stats::approx(dens$mpg, dens$y, xout = mpg, na.rm = FALSE, rule = 2)\r\n#&gt;  11. │ └─stats:::regularize.values(x, y, ties, missing(ties), na.rm = na.rm)\r\n#&gt;  12. │   └─grDevices::xy.coords(x, y, setLab = FALSE)\r\n#&gt;  13. │     └─base::stop(\"'x' and 'y' lengths differ\")\r\n#&gt;  14. └─base::.handleSimpleError(...)\r\n#&gt;  15.   └─dplyr (local) h(simpleError(msg, call))\r\n#&gt;  16.     └─rlang::abort(msg, call = call(\"across\"), parent = cnd)\r\n\r\n## Succeeds\r\nmtcars %&gt;%\r\n  mutate(across(where(is.numeric), .names = \"{.col}_KDensity\", function(x) {\r\n    dens &lt;- density(x, bw = \"SJ\", n = 2048, na.rm = TRUE)\r\n    approx(dens[[\"x\"]], dens$y, xout = x, na.rm = FALSE, rule = 2)$y\r\n  }))\r\n#&gt; # A tibble: 32 × 22\r\n#&gt;      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\r\n#&gt;    &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt;  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\r\n#&gt;  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\r\n#&gt;  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\r\n#&gt;  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\r\n#&gt;  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\r\n#&gt;  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\r\n#&gt;  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\r\n#&gt;  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\r\n#&gt;  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\r\n#&gt; 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\r\n#&gt; # ℹ 22 more rows\r\n#&gt; # ℹ 11 more variables: mpg_KDensity &lt;dbl&gt;, cyl_KDensity &lt;dbl&gt;,\r\n#&gt; #   disp_KDensity &lt;dbl&gt;, hp_KDensity &lt;dbl&gt;, drat_KDensity &lt;dbl&gt;,\r\n#&gt; #   wt_KDensity &lt;dbl&gt;, qsec_KDensity &lt;dbl&gt;, vs_KDensity &lt;dbl&gt;,\r\n#&gt; #   am_KDensity &lt;dbl&gt;, gear_KDensity &lt;dbl&gt;, carb_KDensity &lt;dbl&gt;\r\n\r\n## Also succeeds\r\nmtcars %&gt;%\r\n  mutate(across(where(is.numeric), .names = \"{.col}_KDensity\", function(xx) {\r\n    dens &lt;- density(xx, bw = \"SJ\", n = 2048, na.rm = TRUE)\r\n    approx(dens$x, dens$y, xout = xx, na.rm = FALSE, rule = 2)$y\r\n  }))\r\n#&gt; # A tibble: 32 × 22\r\n#&gt;      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\r\n#&gt;    &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;\r\n#&gt;  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\r\n#&gt;  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\r\n#&gt;  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\r\n#&gt;  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\r\n#&gt;  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\r\n#&gt;  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\r\n#&gt;  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\r\n#&gt;  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\r\n#&gt;  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\r\n#&gt; 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\r\n#&gt; # ℹ 22 more rows\r\n#&gt; # ℹ 11 more variables: mpg_KDensity &lt;dbl&gt;, cyl_KDensity &lt;dbl&gt;,\r\n#&gt; #   disp_KDensity &lt;dbl&gt;, hp_KDensity &lt;dbl&gt;, drat_KDensity &lt;dbl&gt;,\r\n#&gt; #   wt_KDensity &lt;dbl&gt;, qsec_KDensity &lt;dbl&gt;, vs_KDensity &lt;dbl&gt;,\r\n#&gt; #   am_KDensity &lt;dbl&gt;, gear_KDensity &lt;dbl&gt;, carb_KDensity &lt;dbl&gt;\r\n```\r\n\r\n&lt;sup&gt;Created on 2023-07-24 with [reprex v2.0.2](https://reprex.tidyverse.org)&lt;\/sup&gt;",</span>
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-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
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-https://docs.github.com/graphql"><title>A simple interface for the GitHub GraphQL API v4. — gh_gql • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="A simple interface for the GitHub GraphQL API v4. — gh_gql"><meta property="og:description" content="See more about the GraphQL API here:
+https://docs.github.com/graphql"><title>A simple interface for the GitHub GraphQL API v4. — gh_gql • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="A simple interface for the GitHub GraphQL API v4. — gh_gql"><meta property="og:description" content="See more about the GraphQL API here:
 https://docs.github.com/graphql"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -120,7 +120,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/reference/gh_next.html b/reference/gh_next.html
index d680672..70e7ca9 100644
--- a/reference/gh_next.html
+++ b/reference/gh_next.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get the next, previous, first or last page of results"><title>Get the next, previous, first or last page of results — gh_next • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the next, previous, first or last page of results — gh_next"><meta property="og:description" content="Get the next, previous, first or last page of results"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get the next, previous, first or last page of results"><title>Get the next, previous, first or last page of results — gh_next • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get the next, previous, first or last page of results — gh_next"><meta property="og:description" content="Get the next, previous, first or last page of results"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
@@ -121,7 +121,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/reference/gh_rate_limit.html b/reference/gh_rate_limit.html
index f4195fd..4b8b421 100644
--- a/reference/gh_rate_limit.html
+++ b/reference/gh_rate_limit.html
@@ -2,7 +2,7 @@
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="gh_rate_limits() reports on all rate limits for the authenticated user.
 gh_rate_limit() reports on rate limits for previous successful request.
 Further details on GitHub's API rate limit policies are available at
-https://docs.github.com/v3/#rate-limiting."><title>Return GitHub user's current rate limits — gh_rate_limit • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Return GitHub user's current rate limits — gh_rate_limit"><meta property="og:description" content="gh_rate_limits() reports on all rate limits for the authenticated user.
+https://docs.github.com/v3/#rate-limiting."><title>Return GitHub user's current rate limits — gh_rate_limit • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Return GitHub user's current rate limits — gh_rate_limit"><meta property="og:description" content="gh_rate_limits() reports on all rate limits for the authenticated user.
 gh_rate_limit() reports on rate limits for previous successful request.
 Further details on GitHub's API rate limit policies are available at
 https://docs.github.com/v3/#rate-limiting."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
@@ -119,7 +119,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/reference/gh_token.html b/reference/gh_token.html
index e9e8175..95d3864 100644
--- a/reference/gh_token.html
+++ b/reference/gh_token.html
@@ -17,7 +17,7 @@
 pre-selection of recommended scopes. Once you have a PAT, you can use
 gitcreds::gitcreds_set() to add it to the Git credential store. From that
 point on, gh (via gitcreds::gitcreds_get()) should be able to find it
-without further effort on your part."><title>Return the local user's GitHub Personal Access Token (PAT) — gh_token • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Return the local user's GitHub Personal Access Token (PAT) — gh_token"><meta property="og:description" content="If gh can find a personal access token (PAT) via gh_token(), it includes
+without further effort on your part."><title>Return the local user's GitHub Personal Access Token (PAT) — gh_token • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Return the local user's GitHub Personal Access Token (PAT) — gh_token"><meta property="og:description" content="If gh can find a personal access token (PAT) via gh_token(), it includes
 the PAT in its requests. Some requests succeed without a PAT, but many
 require a PAT to prove the request is authorized by a specific GitHub user. A
 PAT also helps with rate limiting. If your gh use is more than casual, you
@@ -149,7 +149,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/reference/gh_tree_remote.html b/reference/gh_tree_remote.html
index 2e085e3..b31fec2 100644
--- a/reference/gh_tree_remote.html
+++ b/reference/gh_tree_remote.html
@@ -1,6 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="This is handy helper if you want to make gh requests related to the
-current project."><title>Find the GitHub remote associated with a path — gh_tree_remote • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Find the GitHub remote associated with a path — gh_tree_remote"><meta property="og:description" content="This is handy helper if you want to make gh requests related to the
+current project."><title>Find the GitHub remote associated with a path — gh_tree_remote • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Find the GitHub remote associated with a path — gh_tree_remote"><meta property="og:description" content="This is handy helper if you want to make gh requests related to the
 current project."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -93,7 +93,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/reference/gh_whoami.html b/reference/gh_whoami.html
index ba720b7..e7f1ca1 100644
--- a/reference/gh_whoami.html
+++ b/reference/gh_whoami.html
@@ -1,6 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Reports wallet name, GitHub login, and GitHub URL for the current
-authenticated user, the first bit of the token, and the associated scopes."><title>Info on current GitHub user and token — gh_whoami • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Info on current GitHub user and token — gh_whoami"><meta property="og:description" content="Reports wallet name, GitHub login, and GitHub URL for the current
+authenticated user, the first bit of the token, and the associated scopes."><title>Info on current GitHub user and token — gh_whoami • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Info on current GitHub user and token — gh_whoami"><meta property="og:description" content="Reports wallet name, GitHub login, and GitHub URL for the current
 authenticated user, the first bit of the token, and the associated scopes."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -114,7 +114,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">gh_whoami</span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in gh(endpoint = "/user", .token = .token, .api_url = .api_url,     .send_headers = .send_headers):</span> GitHub API error (403): Resource not accessible by integration</span>
 <span class="r-err co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Read more at</span>
-<span class="r-err co"><span class="r-pr">#&gt;</span>   <span style="color: #0000BB; font-style: italic;">&lt;https://docs.github.com/rest/reference/users#get-the-authenticated-user&gt;</span></span>
+<span class="r-err co"><span class="r-pr">#&gt;</span>   <span style="color: #0000BB; font-style: italic;">&lt;https://docs.github.com/rest/users/users#get-the-authenticated-user&gt;</span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
 <span class="r-in"><span><span class="co">## explicit token + use with GitHub Enterprise</span></span></span>
 <span class="r-in"><span><span class="fu">gh_whoami</span><span class="op">(</span></span></span>
@@ -131,7 +131,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/reference/index.html b/reference/index.html
index d3f877d..42ffebf 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--><script defer data-domain="gh.r-lib.org,all.tidyverse.org" src="https://plausible.io/js/plausible.js"></script></head><body>
@@ -107,7 +107,7 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
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 <div class="pkgdown-footer-right">
diff --git a/reference/print.gh_response.html b/reference/print.gh_response.html
index 7584784..ac32733 100644
--- a/reference/print.gh_response.html
+++ b/reference/print.gh_response.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Print the result of a GitHub API call"><title>Print the result of a GitHub API call — print.gh_response • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.6/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.6/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Print the result of a GitHub API call — print.gh_response"><meta property="og:description" content="Print the result of a GitHub API call"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Print the result of a GitHub API call"><title>Print the result of a GitHub API call — print.gh_response • gh</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/bootstrap.bundle.min.js"></script><link href="../deps/Source_Sans_Pro-0.4.7/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.7/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Print the result of a GitHub API call — print.gh_response"><meta property="og:description" content="Print the result of a GitHub API call"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@@ -85,7 +85,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
    </div>
   <footer><div class="container">
   <div class="pkgdown-footer-left">
-  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.rstudio.com" class="external-link"><img src="https://www.tidyverse.org/rstudio-logo.svg" alt="RStudio" width="72"></a>.</p>
+  <p></p><p>Developed by <a href="https://github.com/gaborcsardi" class="external-link">Gábor Csárdi</a>, <a href="https://jennybryan.org" class="external-link">Jennifer Bryan</a>, <a href="http://hadley.nz" class="external-link">Hadley Wickham</a>, <a href="https://www.posit.co" class="external-link"><img src="https://www.tidyverse.org/posit-logo.svg" alt="Posit" height="16" style="margin-bottom: 3px;"></a>.</p>
 </div>
 
 <div class="pkgdown-footer-right">
diff --git a/search.json b/search.json
index e9a1014..548754a 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":[]},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement codeofconduct@rstudio.com. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired [Mozilla’s code conduct enforcement ladder][https://github.com/mozilla/inclusion]. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"pat-and-host","dir":"Articles","previous_headings":"","what":"PAT and host","title":"Managing Personal Access Tokens","text":"gh::gh() allows user provide PAT via .token argument specify host “github.com” via .api_url argument. (companies universities run instance GitHub Enterprise.) However, ’s annoying always provide PAT host ’s unsafe PAT appear explicitly R code. ’s important make possible user provide PAT /API URL directly, rarely necessary. gh::gh() designed play well secure, less fiddly methods expressing want. .api_url .token determined user provide ? .api_url defaults value GITHUB_API_URL environment variable , unset, falls back \"https://api.github.com\". always done worrying PAT. PAT obtained via call gh_token(.api_url). , token looked based host.","code":"gh(endpoint, ..., .token = NULL, ..., .api_url = NULL, ...)"},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"the-gitcreds-package","dir":"Articles","previous_headings":"","what":"The gitcreds package","title":"Managing Personal Access Tokens","text":"gh now uses gitcreds package interact Git credential store. gh calls gitcreds::gitcreds_get() URL try find matching PAT. gitcreds::gitcreds_get() checks session environment variables local Git credential store. Therefore, previously used PAT , e.g., command line Git, gh may retrieve re-use . can call gitcreds::gitcreds_get() directly, , want see found specific URL. see something like : means gitcreds get PAT Git credential store. can call gitcreds_get()$password see actual PAT. matching PAT found, gitcreds::gitcreds_get() errors.","code":"gitcreds::gitcreds_get() #> <gitcreds> #>   protocol: https #>   host    : github.com #>   username: PersonalAccessToken #>   password: <-- hidden -->"},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"pat-in-an-environment-variable","dir":"Articles","previous_headings":"","what":"PAT in an environment variable","title":"Managing Personal Access Tokens","text":"don’t Git installation, Git installation working credential store, can specify PAT environment variable. github.com can set GITHUB_PAT_GITHUB_COM GITHUB_PAT variable. different GitHub host, call gitcreds::gitcreds_cache_envvar() API URL see environment variable need set. example:","code":"gitcreds::gitcreds_cache_envvar(\"https://github.acme.com\") #> [1] \"GITHUB_PAT_GITHUB_ACME_COM\""},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"recommendations","dir":"Articles","previous_headings":"","what":"Recommendations","title":"Managing Personal Access Tokens","text":"machine used interactive development, recommend: Store PAT(s) official credential store. store PAT(s) plain text , e.g., .Renviron. past, common recommended practice pragmatic reasons. However, gitcreds/gh now evolved point ’s possible us follow better security practices. use general-purpose password manager, like 1Password LastPass, may also want store PAT(s) . ? PAT “forgotten” OS-level credential store, intentionally , ’ll need provide prompted. don’t record PAT, ’ll get new PAT whenever happens. end world. aren’t disciplined deleting lost PATs https://github.com/settings/tokens, eventually find confusing situation can’t sure PAT(s) use. headless system, CI/CD platform, provide necessary PAT(s) via secure environment variables. Regular environment variables can used configure less sensitive settings, API host. Don’t expose PAT something silly like dumping environment variables log file. Note GitHub Actions, specifically, personal access token automatically available workflow GITHUB_TOKEN secret. many workflows R community contain snippet: makes automatic PAT available GITHUB_PAT environment variable. PAT doesn’t right permissions, ’ll need explicitly provide one (see link ).","code":"env:   GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}"},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"failure","dir":"Articles","previous_headings":"","what":"Failure","title":"Managing Personal Access Tokens","text":"PAT , gh::gh() sends request token. (Internally, Authorization header omitted PAT found empty string, \"\".) PAT-related failures look like? PAT sent endpoint requires auth, request probably succeeds! least run rate limits. endpoint requires auth, ’ll get HTTP error, possibly one: PAT first discovered environment variable, taken face value. two common ways arrive PAT specification via .Renviron secret CI/CD platform, GitHub Actions. PAT invalid, first affected request fail, probably like : also experience invalid PAT provided directly via .token. Even valid PAT can lead downstream error, insufficient scopes respect specific request.","code":"GitHub API error (401): 401 Unauthorized Message: Requires authentication GitHub API error (401): 401 Unauthorized Message: Bad credentials"},{"path":"https://gh.r-lib.org/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Gábor Csárdi. Maintainer, contributor. Jennifer Bryan. Author. Hadley Wickham. Author. . Copyright holder, funder.","code":""},{"path":"https://gh.r-lib.org/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Bryan J, Wickham H (2023). gh: 'GitHub' 'API'. https://gh.r-lib.org/, https://github.com/r-lib/gh#readme.","code":"@Manual{,   title = {gh: 'GitHub' 'API'},   author = {Jennifer Bryan and Hadley Wickham},   year = {2023},   note = {https://gh.r-lib.org/, https://github.com/r-lib/gh#readme}, }"},{"path":"https://gh.r-lib.org/index.html","id":"gh","dir":"","previous_headings":"","what":"GitHub API","title":"GitHub API","text":"Minimalistic client access GitHub’s REST GraphQL APIs.","code":""},{"path":"https://gh.r-lib.org/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"GitHub API","text":"Install package CRAN usual:","code":"install.packages(\"gh\")"},{"path":"https://gh.r-lib.org/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"GitHub API","text":"Use gh() function access API endpoints. endpoints listed documentation. first argument gh() endpoint. can just copy paste API endpoints documentation. Note leading slash must included well. https://docs.github.com/rest/reference/repos#list-repositories---user can copy paste GET /users/{username}/repos gh() call. E.g. JSON result sent API converted R object. Parameters can passed extra arguments. E.g.","code":"library(gh) my_repos <- gh(\"GET /users/{username}/repos\", username = \"gaborcsardi\") vapply(my_repos, \"[[\", \"\", \"name\") #>  [1] \"after\"                \"alexr\"                \"all.primer.tutorials\" #>  [4] \"altlist\"              \"argufy\"               \"ask\"                  #>  [7] \"async\"                \"BCEA\"                 \"BH\"                   #> [10] \"brokenPackage\"        \"butcher\"              \"css\"                  #> [13] \"curl\"                 \"disposables\"          \"dotenv\"               #> [16] \"falsy\"                \"finmix\"               \"foobar\"               #> [19] \"franc\"                \"fswatch\"              \"guildai-r\"            #> [22] \"httpgd\"               \"installgithub.app\"    \"ISA\"                  #> [25] \"isa2\"                 \"josaplay\"             \"keynote\"              #> [28] \"keypress\"             \"log\"                  \"lpSolve\" my_repos <- gh(   \"/users/{username}/repos\",   username = \"gaborcsardi\",   sort = \"created\") vapply(my_repos, \"[[\", \"\", \"name\") #>  [1] \"isa2\"                   \"r-builds\"               \"sos\"                    #>  [4] \"SCAVENGE\"               \"rworkflows\"             \"r-bugs\"                 #>  [7] \"josaplay\"               \"all.primer.tutorials\"   \"neartools\"              #> [10] \"REDCapTidieR\"           \"guildai-r\"              \"BH\"                     #> [13] \"testrtools\"             \"vt-rs\"                  \"testpaktestthat\"        #> [16] \"httpgd\"                 \"BCEA\"                   \"monorepo\"               #> [19] \"pacman\"                 \"tiff\"                   \"tidyclust\"              #> [22] \"testCheckForceSuggests\" \"naomi\"                  \"rstudio\"                #> [25] \"butcher\"                \"foobar\"                 \"roxydemo\"               #> [28] \"log\"                    \"rtools-packages\"        \"r-builds-original\""},{"path":"https://gh.r-lib.org/index.html","id":"post-patch-put-and-delete-requests","dir":"","previous_headings":"Usage","what":"POST, PATCH, PUT and DELETE requests","title":"GitHub API","text":"POST, PATCH, PUT, DELETE requests can sent including HTTP verb endpoint, first argument. E.g. create repository: delete :","code":"new_repo <- gh(\"POST /user/repos\", name = \"my-new-repo-for-gh-testing\") gh(\"DELETE /repos/{owner}/{repo}\", owner = \"gaborcsardi\",    repo = \"my-new-repo-for-gh-testing\")"},{"path":"https://gh.r-lib.org/index.html","id":"tokens","dir":"","previous_headings":"Usage","what":"Tokens","title":"GitHub API","text":"default GITHUB_PAT environment variable used. Alternatively, one can set .token argument gh().","code":""},{"path":"https://gh.r-lib.org/index.html","id":"pagination","dir":"","previous_headings":"Usage","what":"Pagination","title":"GitHub API","text":"Supply page parameter get subsequent pages:","code":"my_repos2 <- gh(\"GET /orgs/{org}/repos\", org = \"r-lib\", page = 2) vapply(my_repos2, \"[[\", \"\", \"name\") #>  [1] \"sodium\"      \"gargle\"      \"remotes\"     \"jose\"        \"backports\"   #>  [6] \"rcmdcheck\"   \"vdiffr\"      \"callr\"       \"mockery\"     \"here\"        #> [11] \"revdepcheck\" \"processx\"    \"vctrs\"       \"debugme\"     \"usethis\"     #> [16] \"rlang\"       \"pkgload\"     \"httrmock\"    \"pkgbuild\"    \"prettycode\"  #> [21] \"roxygen2md\"  \"pkgapi\"      \"zeallot\"     \"liteq\"       \"keyring\"     #> [26] \"sloop\"       \"styler\"      \"ansistrings\" \"archive\"     \"later\""},{"path":"https://gh.r-lib.org/index.html","id":"environment-variables","dir":"","previous_headings":"","what":"Environment Variables","title":"GitHub API","text":"GITHUB_API_URL environment variable used default github api url. One GITHUB_PAT GITHUB_TOKEN environment variables used, order, default token.","code":""},{"path":"https://gh.r-lib.org/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"GitHub API","text":"Please note gh project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"https://gh.r-lib.org/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"GitHub API","text":"MIT © Gábor Csárdi, Jennifer Bryan, Hadley Wickham","code":""},{"path":"https://gh.r-lib.org/reference/gh-package.html","id":null,"dir":"Reference","previous_headings":"","what":"gh: 'GitHub' 'API' — gh-package","title":"gh: 'GitHub' 'API' — gh-package","text":"Minimal client access 'GitHub' 'API'.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"gh: 'GitHub' 'API' — gh-package","text":"Maintainer: Gábor Csárdi csardi.gabor@gmail.com [contributor] Authors: Jennifer Bryan Hadley Wickham contributors: RStudio [copyright holder, funder]","code":""},{"path":"https://gh.r-lib.org/reference/gh.html","id":null,"dir":"Reference","previous_headings":"","what":"Query the GitHub API — gh","title":"Query the GitHub API — gh","text":"extremely minimal client. need know API able use client. function : Try substitute listed parameter endpoint, using {parameter} notation. GET request (default), add listed parameters query parameters. GET request, send parameters request body, JSON. Convert response R list using jsonlite::fromJSON().","code":""},{"path":"https://gh.r-lib.org/reference/gh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Query the GitHub API — gh","text":"","code":"gh(   endpoint,   ...,   per_page = NULL,   .token = NULL,   .destfile = NULL,   .overwrite = FALSE,   .api_url = NULL,   .method = \"GET\",   .limit = NULL,   .accept = \"application/vnd.github.v3+json\",   .send_headers = NULL,   .progress = TRUE,   .params = list(),   .max_wait = 600,   .max_rate = NULL )"},{"path":"https://gh.r-lib.org/reference/gh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Query the GitHub API — gh","text":"endpoint GitHub API endpoint. Must one following forms: METHOD path, e.g. GET /rate_limit, path, e.g. /rate_limit, METHOD url, e.g. GET https://api.github.com/rate_limit, url, e.g. https://api.github.com/rate_limit. method supplied, use .method, defaults \"GET\". ... Name-value pairs giving API parameters. matched endpoint placeholders, sent query parameters GET requests, JSON body POST requests. one unnamed parameter, raw vector, JSON encoded, sent raw data, . can used example add assets releases. Named NULL values silently dropped. GET requests, named NA values trigger error. methods, named NA values included body request, JSON null. per_page Number items return per page. omitted, substituted max(.limit, 100) .limit set, otherwise determined API (never greater 100). .token Authentication token. Defaults GITHUB_PAT GITHUB_TOKEN environment variables, order set. See gh_token() need flexibility, e.g. different tokens different GitHub Enterprise deployments. .destfile Path write response disk. NULL (default), response processed returned object. path given, response written disk form sent. .overwrite .destfile provided, whether overwrite existing file.  Defaults FALSE. .api_url Github API url (default: https://api.github.com). Used endpoint just contains path. Defaults GITHUB_API_URL environment variable set. .method HTTP method use explicitly supplied endpoint. .limit Number records return. can used instead manual pagination. default NULL, means defaults GitHub API used. can set number request (less) records, also Inf request records. Note, request many records, multiple GitHub API calls used get , can take potentially long time. .accept value Accept HTTP header. Defaults \"application/vnd.github.v3+json\" . Accept given .send_headers, used. parameter can used provide custom media type, order access preview feature API. .send_headers Named character vector header field values (except Authorization, handled via .token). can used override augment default User-Agent header: \"https://github.com/r-lib/gh\". .progress Whether show progress indicator calls need one HTTP request. .params Additional list parameters append .... easier use ... parameters list already. .max_wait Maximum number seconds wait rate limited. Defaults 10 minutes. .max_rate Maximum request rate requests per second. Set automatically throttle requests.","code":""},{"path":"https://gh.r-lib.org/reference/gh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Query the GitHub API — gh","text":"Answer API gh_response object, also list. Failed requests generate R error. Requests generate raw response return raw vector.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Query the GitHub API — gh","text":"","code":"## Repositories of a user, these are equivalent gh(\"/users/hadley/repos\", .limit = 2) #> [ #>   { #>     \"id\": 40423928, #>     \"node_id\": \"MDEwOlJlcG9zaXRvcnk0MDQyMzkyOA==\", #>     \"name\": \"15-state-of-the-union\", #>     \"full_name\": \"hadley/15-state-of-the-union\", #>     \"private\": false, #>     \"owner\": { #>       \"login\": \"hadley\", #>       \"id\": 4196, #>       \"node_id\": \"MDQ6VXNlcjQxOTY=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4196?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/hadley\", #>       \"html_url\": \"https://github.com/hadley\", #>       \"followers_url\": \"https://api.github.com/users/hadley/followers\", #>       \"following_url\": \"https://api.github.com/users/hadley/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/hadley/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/hadley/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/hadley/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/hadley/orgs\", #>       \"repos_url\": \"https://api.github.com/users/hadley/repos\", #>       \"events_url\": \"https://api.github.com/users/hadley/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/hadley/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"html_url\": \"https://github.com/hadley/15-state-of-the-union\", #>     \"description\": {}, #>     \"fork\": false, #>     \"url\": \"https://api.github.com/repos/hadley/15-state-of-the-union\", #>     \"forks_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/forks\", #>     \"keys_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/keys{/key_id}\", #>     \"collaborators_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/collaborators{/collaborator}\", #>     \"teams_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/teams\", #>     \"hooks_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/hooks\", #>     \"issue_events_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/issues/events{/number}\", #>     \"events_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/events\", #>     \"assignees_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/assignees{/user}\", #>     \"branches_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/branches{/branch}\", #>     \"tags_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/tags\", #>     \"blobs_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/git/blobs{/sha}\", #>     \"git_tags_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/git/tags{/sha}\", #>     \"git_refs_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/git/refs{/sha}\", #>     \"trees_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/git/trees{/sha}\", #>     \"statuses_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/statuses/{sha}\", #>     \"languages_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/languages\", #>     \"stargazers_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/stargazers\", #>     \"contributors_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/contributors\", #>     \"subscribers_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/subscribers\", #>     \"subscription_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/subscription\", #>     \"commits_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/commits{/sha}\", #>     \"git_commits_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/git/commits{/sha}\", #>     \"comments_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/comments{/number}\", #>     \"issue_comment_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/issues/comments{/number}\", #>     \"contents_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/contents/{+path}\", #>     \"compare_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/compare/{base}...{head}\", #>     \"merges_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/merges\", #>     \"archive_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/{archive_format}{/ref}\", #>     \"downloads_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/downloads\", #>     \"issues_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/issues{/number}\", #>     \"pulls_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/pulls{/number}\", #>     \"milestones_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/milestones{/number}\", #>     \"notifications_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/notifications{?since,all,participating}\", #>     \"labels_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/labels{/name}\", #>     \"releases_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/releases{/id}\", #>     \"deployments_url\": \"https://api.github.com/repos/hadley/15-state-of-the-union/deployments\", #>     \"created_at\": \"2015-08-09T03:22:26Z\", #>     \"updated_at\": \"2022-12-31T01:27:52Z\", #>     \"pushed_at\": \"2015-08-10T20:29:10Z\", #>     \"git_url\": \"git://github.com/hadley/15-state-of-the-union.git\", #>     \"ssh_url\": \"git@github.com:hadley/15-state-of-the-union.git\", #>     \"clone_url\": \"https://github.com/hadley/15-state-of-the-union.git\", #>     \"svn_url\": \"https://github.com/hadley/15-state-of-the-union\", #>     \"homepage\": {}, #>     \"size\": 4519, #>     \"stargazers_count\": 22, #>     \"watchers_count\": 22, #>     \"language\": \"R\", #>     \"has_issues\": true, #>     \"has_projects\": true, #>     \"has_downloads\": true, #>     \"has_wiki\": true, #>     \"has_pages\": false, #>     \"has_discussions\": false, #>     \"forks_count\": 7, #>     \"mirror_url\": {}, #>     \"archived\": false, #>     \"disabled\": false, #>     \"open_issues_count\": 0, #>     \"license\": {}, #>     \"allow_forking\": true, #>     \"is_template\": false, #>     \"web_commit_signoff_required\": false, #>     \"topics\": [], #>     \"visibility\": \"public\", #>     \"forks\": 7, #>     \"open_issues\": 0, #>     \"watchers\": 22, #>     \"default_branch\": \"master\", #>     \"permissions\": { #>       \"admin\": false, #>       \"maintain\": false, #>       \"push\": false, #>       \"triage\": false, #>       \"pull\": false #>     } #>   }, #>   { #>     \"id\": 40544418, #>     \"node_id\": \"MDEwOlJlcG9zaXRvcnk0MDU0NDQxOA==\", #>     \"name\": \"15-student-papers\", #>     \"full_name\": \"hadley/15-student-papers\", #>     \"private\": false, #>     \"owner\": { #>       \"login\": \"hadley\", #>       \"id\": 4196, #>       \"node_id\": \"MDQ6VXNlcjQxOTY=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4196?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/hadley\", #>       \"html_url\": \"https://github.com/hadley\", #>       \"followers_url\": \"https://api.github.com/users/hadley/followers\", #>       \"following_url\": \"https://api.github.com/users/hadley/following{/other_user}\", #>       \"gists_url\": 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1720956991, #>     \"node_id\": \"I_kwDOAGIUpc5mk7g_\", #>     \"number\": 6853, #>     \"title\": \"Possible regression re. use of glue in dplyr::across\", #>     \"user\": { #>       \"login\": \"jimjam-slam\", #>       \"id\": 6520659, #>       \"node_id\": \"MDQ6VXNlcjY1MjA2NTk=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/6520659?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/jimjam-slam\", #>       \"html_url\": \"https://github.com/jimjam-slam\", #>       \"followers_url\": \"https://api.github.com/users/jimjam-slam/followers\", #>       \"following_url\": \"https://api.github.com/users/jimjam-slam/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/jimjam-slam/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/jimjam-slam/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/jimjam-slam/subscriptions\", #>       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`dplyr::across()`. This error did not previously exist.\\r\\n\\r\\nOn [my setup](https://twitter.com/jimjam_slam/status/1659392114994839553?s=20), with R 4.2.2 on macOS, and with dplyr 1.0.10 and glue 1.6.2, the following works to modify two columns:\\r\\n\\r\\n```r\\r\\nlibrary(dplyr)\\r\\nlibrary(glue)\\r\\nmtcars |> mutate(across(c(mpg, cyl), \\\\(x) glue(\\\"Oh hai {x}\\\")))\\r\\n```\\r\\n\\r\\n![image](https://github.com/tidyverse/glue/assets/6520659/2843bd11-13a7-408a-b100-1769c79529d9)\\r\\n\\r\\nBut [Matthew Kay reports](https://twitter.com/mjskay/status/1659381134273150977?s=20) that they get an error, unless they add dots to the anonymous function or save it to a variable before passing it to `across`:\\r\\n\\r\\n![image](https://github.com/tidyverse/dplyr/assets/6520659/f33ce5ec-a5f5-4cb9-bf2e-94e049bcba39)\\r\\n\\r\\n[Cameron Patrick](https://twitter.com/camjpatrick/status/1659376009375027200?s=20) also gets an error on R 4.2.3 for Windows with dplyr 1.1.1 and glue 1.6.2 (the same version of glue as me). They get this using the purrr anonymous function syntax:\\r\\n\\r\\n![image](https://github.com/tidyverse/dplyr/assets/6520659/83c6b1c8-65d2-4b76-9801-ff93273e077c)\\r\\n\\r\\n\\r\\nI'm not sure whether this is a problem with glue, dplyr or an interaction between the two, but as the version of glue between my successful reprex and Cameron's unsuccessful one isn't changed, I've chosen to file here.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6852\", #>     \"id\": 1715670438, #>     \"node_id\": \"I_kwDOAGIUpc5mQw2m\", #>     \"number\": 6852, #>     \"title\": \"Improve error message for joining ordered factors?\", #>     \"user\": { #>       \"login\": \"gklarenberg\", #>       \"id\": 12190691, #>       \"node_id\": \"MDQ6VXNlcjEyMTkwNjkx\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/12190691?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/gklarenberg\", #>       \"html_url\": \"https://github.com/gklarenberg\", #>       \"followers_url\": \"https://api.github.com/users/gklarenberg/followers\", #>       \"following_url\": \"https://api.github.com/users/gklarenberg/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/gklarenberg/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/gklarenberg/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/gklarenberg/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/gklarenberg/orgs\", #>       \"repos_url\": \"https://api.github.com/users/gklarenberg/repos\", #>       \"events_url\": \"https://api.github.com/users/gklarenberg/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/gklarenberg/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-05-18T13:47:28Z\", #>     \"updated_at\": \"2023-05-18T13:47:28Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Would it be possible to improve the error message that is displayed when one is trying to join ordered factors (ordinal data) with different levels?\\r\\n\\r\\n```r\\r\\n> df1 <- data.frame(D.1 = c(1,3,4,2,5),\\r\\n+                  D.2 = factor(c(4,5,3,1,2), ordered = TRUE),\\r\\n+                  F.4 = c(5,4,3,2,1))\\r\\n> df1$D.2\\r\\n[1] 4 5 3 1 2\\r\\nLevels: 1 < 2 < 3 < 4 < 5\\r\\n> \\r\\n> df2 <- data.frame(D.1 = c(6,2,3,4,1),\\r\\n+                   D.2 = factor(c(NA,3,3,5,1), \\r\\n+                                exclude = NULL,\\r\\n+                                ordered = TRUE,\\r\\n+                                levels = c(1,2,3,4,5,NA)))\\r\\n> df2$D.2\\r\\n[1] <NA> 3    3    5    1   \\r\\nLevels: 1 < 2 < 3 < 4 < 5 < <NA>\\r\\n> \\r\\n> df3 <- full_join(df1, df2)\\r\\nJoining with `by = join_by(D.1, D.2)`\\r\\nError in `full_join()`:\\r\\n! Can't join `x$D.2` with `y$D.2` due to incompatible types.\\r\\nℹ `x$D.2` is a <ordered<cd34a>>.\\r\\nℹ `y$D.2` is a <ordered<88c4b>>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n```\\r\\nGranted - I am not sure how common this is, but I ran into it when trying to join survey data (obtained with the `qualtRics` package by @juliasilge), where `NA` was added to the levels (when participants skip a question). The error message was really difficult to decipher (\\\"incompatible types\\\", just \\\"types\\\"?), I could not find anything online. Only when I started making a reprex for a `qualtRics` issue, I realized what the problem was.\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6848\", #>     \"id\": 1708211113, #>     \"node_id\": \"I_kwDOAGIUpc5l0Tup\", #>     \"number\": 6848, #>     \"title\": \"slice_sample() uses statistically incorrect sampling algorithms\", #>     \"user\": { #>       \"login\": \"skolenik\", #>       \"id\": 20828835, #>       \"node_id\": \"MDQ6VXNlcjIwODI4ODM1\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/20828835?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/skolenik\", #>       \"html_url\": \"https://github.com/skolenik\", #>       \"followers_url\": \"https://api.github.com/users/skolenik/followers\", #>       \"following_url\": \"https://api.github.com/users/skolenik/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/skolenik/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/skolenik/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/skolenik/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/skolenik/orgs\", #>       \"repos_url\": \"https://api.github.com/users/skolenik/repos\", #>       \"events_url\": \"https://api.github.com/users/skolenik/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/skolenik/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-05-12T21:05:01Z\", #>     \"updated_at\": \"2023-05-15T14:33:56Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"`slice_sample()` relies on `base::sample.int()` which in turn relies on incorrect sampling algorithms. The difficulty of obtaining appropriate unequal probability samples is obscure and is not known outside of survey statistics. I don't want to go into base R code although they have to fix that, too (somewhat more surprising given that Thomas Lumley, one of the core R people, is a survey statistician, at least part time). The appropriate algorithms are implemented in `sampling::UPmaxentropy()`.\\r\\n\\r\\n```r\\r\\n# example from Tille (2006)\\r\\nset.seed(25)\\r\\nuneq_p = c(0.07,0.17,0.41,0.61,0.83,0.91)\\r\\nsim_uneq_p <- as.data.frame(matrix(rep(0,6*20000),ncol=6))\\r\\nfor (k in 1:nrow(sim_uneq_p)) {\\r\\n  this <- sample.int(n=length(uneq_p),size=sum(uneq_p),prob=uneq_p)\\r\\n  sim_uneq_p[k,this] <- 1\\r\\n}\\r\\ncolSums(sim_uneq_p)/nrow(sim_uneq_p)\\r\\nuneq_p\\r\\n# done right\\r\\nsim_uneq_p_done_right <- as.data.frame(matrix(rep(0,6*20000),ncol=6))\\r\\nfor (k in 1:nrow(sim_uneq_p_done_right)) {\\r\\n   sim_uneq_p_done_right[k,] <- sampling::UPmaxentropy(uneq_p)\\r\\n}\\r\\ncolSums(sim_uneq_p_done_right)/nrow(sim_uneq_p_done_right)\\r\\nuneq_p\\r\\n```\\r\\n\\r\\n@krlmlr @DavisVaughan \\r\\n\\r\\nCode in `sampling` is (kinda) ugly, and the development most likely does not satisfy the `tidyverse` standards. I don't know if you want to rely on this as a dependency. Relevant parts may need to be taken over and internalized. (I have written the unequal probability sampling code from scratch in Stata, so I am closely familiar with the methodology and what it takes to code it.)\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6840\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6840/labels{/name}\", #>     \"comments_url\": 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\"https://api.github.com/repos/tidyverse/dplyr/issues/6839\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6839/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6839/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6839/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6839\", #>     \"id\": 1693905728, #>     \"node_id\": \"I_kwDOAGIUpc5k9vNA\", #>     \"number\": 6839, #>     \"title\": \"Performance regression for dplyr::rowwise() introduced in version 1.1.0\", #>     \"user\": { #>       \"login\": \"shaneh2\", #>       \"id\": 5721999, #>       \"node_id\": \"MDQ6VXNlcjU3MjE5OTk=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/5721999?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/shaneh2\", #>       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[], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2023-05-03T11:39:37Z\", #>     \"updated_at\": \"2023-05-03T12:24:53Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"It seems that a performance regression has been introduced for `dplyr::rowwise()` in `{dplyr}` version 1.1.0.\\r\\n\\r\\nI give some reprexes below illustrating large differences in execution time when using this on v1.1 compared to v1.0.10.\\r\\n * A: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\\r\\n * B: The same example is much slower in v1.1.0: **51.5 seconds**.\\r\\n   * B2: Execution time of a function called `test_code_without_rowwise`, which is modified not to use `dplyr::rowwise()` doesn't suffer these slowdowns: **0.337 seconds**.\\r\\n * C: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is a similar duration in v1.1.1: **52.2 seconds**.\\r\\n\\r\\nThese seem to indicate that usage in `dplyr::rowwise` in v1.1.0+ is much slower than previous versions.\\r\\n\\r\\n*Note that we are using collapsable sections to improve readability of the code below. The functions in the collapsable sections are part of the reprexes.*\\r\\n\\r\\nA: Using `dplyr::rowwise()` in v1.0.10\\r\\n---\\r\\nExecution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>**Click to show definitions of functions which are part of this reprex**<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n```r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.0.10\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.0.10 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 1.861705 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\\r\\nB: Using `dplyr::rowwise()` in v1.1.0\\r\\n---\\r\\nThe same example is much slower in v1.1.0: **51.5 seconds**.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>Same functions as defined above are part of this reprex (Click to show)<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n```r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.1.0\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 51.51825 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n### B2: Avoiding use of `dplyr::rowwise()` in v1.1.0\\r\\n\\r\\nThis time difference doesn't appear in v1.1.0 when `dplyr::rowwise()` isn't used, indicating that `rowwise()` is what's causing the slowdown.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>Same functions as above are included in this reprex, apart from `test_code` is replaced with `test_code_without_rowwise`<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code_without_rowwise = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    # rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code_without_rowwise()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n```r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.1.0\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 0.3373294 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\\r\\nC: Using `dplyr::rowwise()` in v1.1.1\\r\\n---\\r\\nExecution of the same function `test_code` is a similar duration in v1.1.1: **52.2 seconds**.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>Same functions as defined above are part of this reprex (Click to show)<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n``` r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.1.1\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.1.1 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 52.21882 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6839/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6839/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6838\", #>     \"id\": 1691849841, #>     \"node_id\": \"I_kwDOAGIUpc5k15Rx\", #>     \"number\": 6838, #>     \"title\": \"Unhelpful error message when using `dplyr::between()` in `join_by()`\", #>     \"user\": { #>       \"login\": \"mgirlich\", #>       \"id\": 18258854, #>       \"node_id\": \"MDQ6VXNlcjE4MjU4ODU0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18258854?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mgirlich\", #>       \"html_url\": \"https://github.com/mgirlich\", #>       \"followers_url\": \"https://api.github.com/users/mgirlich/followers\", #>       \"following_url\": \"https://api.github.com/users/mgirlich/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mgirlich/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mgirlich/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mgirlich/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mgirlich/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mgirlich/repos\", #>       \"events_url\": \"https://api.github.com/users/mgirlich/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mgirlich/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 2, #>     \"created_at\": \"2023-05-02T06:27:40Z\", #>     \"updated_at\": \"2023-05-02T14:01:49Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I accidentally used `dplyr::between()` instead of `between()` in `join_by()`. Not sure whether you want to accept it with a namespace or not but the error message isn't very helpful.\\r\\n\\r\\n``` r\\r\\ndplyr::join_by(dplyr::between(y, a, b))\\r\\n#> Error in `as_string()`:\\r\\n#> ! Can't convert a call to a string.\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. └─dplyr::join_by(dplyr::between(y, a, b))\\r\\n#>  2.   └─dplyr:::parse_join_by_expr(exprs[[i]], i, error_call = error_call)\\r\\n#>  3.     └─rlang::as_string(expr[[1]])\\r\\n#>  4.       └─rlang:::abort_coercion(x, \\\"a string\\\")\\r\\n#>  5.         └─rlang::abort(msg, call = call)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-02 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6833\", #>     \"id\": 1681906499, #>     \"node_id\": \"I_kwDOAGIUpc5kP9tD\", #>     \"number\": 6833, #>     \"title\": \"`coalesce()` silently coerces `NaN` to `NA`\", #>     \"user\": { #>       \"login\": \"thisisnic\", #>       \"id\": 13715823, #>       \"node_id\": \"MDQ6VXNlcjEzNzE1ODIz\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/13715823?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/thisisnic\", #>       \"html_url\": \"https://github.com/thisisnic\", #>       \"followers_url\": \"https://api.github.com/users/thisisnic/followers\", #>       \"following_url\": \"https://api.github.com/users/thisisnic/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/thisisnic/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/thisisnic/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/thisisnic/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/thisisnic/orgs\", #>       \"repos_url\": \"https://api.github.com/users/thisisnic/repos\", #>       \"events_url\": \"https://api.github.com/users/thisisnic/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/thisisnic/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-04-24T19:40:44Z\", #>     \"updated_at\": \"2023-04-24T19:42:30Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I was fixing [some Arrow test failures](https://github.com/apache/arrow/issues/35131) which are the result of the dev version of waldo correctly distinguishing between `NA_real_` and `NaN`, and came across this behaviour where `NaN` values are silently coerced by `dplyr::coalesce()` into `NA`s.  \\r\\n\\r\\nI'm unsure if this is a bug or just a difference in implementations/interpretations, but the second row in the `cwx` column in the example below is making me think it could be a bug?\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nlibrary(arrow)\\r\\n\\r\\ndf <- tibble(\\r\\n  w = c(NaN, NaN, NA_real_),\\r\\n  x = c(NA_real_, NaN, 3.3),\\r\\n  y = c(NA_real_, 2.2, 3.3),\\r\\n  z = c(1.1, 2.2, 3.3)\\r\\n)\\r\\n\\r\\ndf %>%\\r\\n  mutate(\\r\\n    cw = coalesce(w),\\r\\n    cz = coalesce(z),\\r\\n    cwx = coalesce(w, x),\\r\\n    cwxy = coalesce(w, x, y),\\r\\n    cwxyz = coalesce(w, x, y, z)\\r\\n  )\\r\\n#> # A tibble: 3 × 9\\r\\n#>       w     x     y     z    cw    cz   cwx  cwxy cwxyz\\r\\n#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#> 1   NaN  NA    NA     1.1    NA   1.1  NA    NA     1.1\\r\\n#> 2   NaN NaN     2.2   2.2    NA   2.2  NA     2.2   2.2\\r\\n#> 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\\r\\n\\r\\ndf %>%\\r\\n  arrow_table() %>%\\r\\n  mutate(\\r\\n    cw = coalesce(w),\\r\\n    cz = coalesce(z),\\r\\n    cwx = coalesce(w, x),\\r\\n    cwxy = coalesce(w, x, y),\\r\\n    cwxyz = coalesce(w, x, y, z)\\r\\n  ) %>%\\r\\n  collect()\\r\\n#> # A tibble: 3 × 9\\r\\n#>       w     x     y     z    cw    cz   cwx  cwxy cwxyz\\r\\n#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#> 1   NaN  NA    NA     1.1   NaN   1.1  NA    NA     1.1\\r\\n#> 2   NaN NaN     2.2   2.2   NaN   2.2 NaN     2.2   2.2\\r\\n#> 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-04-24 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6822\", #>     \"id\": 1666351494, #>     \"node_id\": \"I_kwDOAGIUpc5jUoGG\", #>     \"number\": 6822, #>     \"title\": \"Consider allowing `.env$` in `join_by()`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-04-13T12:45:15Z\", #>     \"updated_at\": \"2023-04-13T13:06:14Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Motivated by https://github.com/tidyverse/dplyr/issues/6821\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf1 <- tibble(\\r\\n  X1 = c(\\\"chr1\\\", \\\"chr2\\\"),\\r\\n  a = c(1, 2)\\r\\n)\\r\\n\\r\\ndf2 <- tibble(\\r\\n  X2 = c(\\\"chr2\\\", \\\"chr3\\\"),\\r\\n  b = c(3, 4)\\r\\n)\\r\\n\\r\\nby.1 <- \\\"X1\\\"\\r\\nby.2 <- \\\"X2\\\"\\r\\n\\r\\n# The \\\"old\\\" way\\r\\n# inner_join(df1, df2, by = setNames(by.2, by.1))\\r\\n\\r\\n# This works but we don't typically encourage using `!!` in high level APIs\\r\\ninner_join(df1, df2, by = join_by(!!by.1 == !!by.2))\\r\\n#> # A tibble: 1 × 3\\r\\n#>   X1        a     b\\r\\n#>   <chr> <dbl> <dbl>\\r\\n#> 1 chr2      2     3\\r\\n \\r\\n# It might be nice to be able to do this, but it currently errors\\r\\ninner_join(df1, df2, by = join_by(.env$by.1 == .env$by.2))\\r\\n#> Error in `join_by()`:\\r\\n#> ! The left-hand side of a `$` expression must be either `x$` or `y$`.\\r\\n#> ℹ Expression 1 contains `.env$by.1`.\\r\\n```\\r\\n\\r\\nSome notes from talking with @lionel-:\\r\\n- We have an equivalent-ish to `.data$` already with `x$` and `y$`. They don't have a `.` prefix because I attempted to match the original argument names\\r\\n- So it seems like we are missing an equivalent to the `.env$` pronoun, and we may as well call it `.env$` here too\\r\\n- It would look up in the `caller_env()` of `join_by()`, and I don't think `join_by()` would get an `env = caller_env()` argument to \\\"pass the env through\\\" unlike what is done in `glue()`.\\r\\n- It would look up using `inherits = TRUE`, because it seems like tidy eval does this too, and we generally think that makes sense\\r\\n- It would require the result to be a single string, or die trying. i.e. you can only use this to inject a single name from the environment, not to inject an entire expression\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6817\", #>     \"id\": 1658192233, #>     \"node_id\": \"PR_kwDOAGIUpc5Nzt-8\", #>     \"number\": 6817, #>     \"title\": \"replace as_tibble with new_tibble in ungroup()\", #>     \"user\": { #>       \"login\": \"mkoohafkan\", #>       \"id\": 4790348, #>       \"node_id\": \"MDQ6VXNlcjQ3OTAzNDg=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4790348?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mkoohafkan\", #>       \"html_url\": \"https://github.com/mkoohafkan\", #>       \"followers_url\": \"https://api.github.com/users/mkoohafkan/followers\", #>       \"following_url\": \"https://api.github.com/users/mkoohafkan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mkoohafkan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mkoohafkan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mkoohafkan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mkoohafkan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mkoohafkan/repos\", #>       \"events_url\": \"https://api.github.com/users/mkoohafkan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mkoohafkan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-04-07T00:16:16Z\", #>     \"updated_at\": \"2023-04-07T04:56:49Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6817\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6817\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6817.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6817.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Make `ungroup()` handle attributes in a way that is consistent with other `dplyr` functions by using `new_tibble()` instead of `as_tibble()`.\\r\\n\\r\\nThis is also future-proof if it is later decided that `new_tibble()` should drop attributes.\\r\\n\\r\\nFixes https://github.com/tidyverse/dplyr/issues/6774 without affecting discussion in https://github.com/tidyverse/tibble/pull/769\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6809\", #>     \"repository_url\": 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\"2023-03-27T18:26:04Z\", #>     \"updated_at\": \"2023-04-07T22:20:48Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I have a summarizing function that's similar to the function below. It allows the user to pass grouping variables, summary variables and any number of summary functions as arguments. \\r\\n\\r\\n```\\r\\n# Allow user to choose summary function(s)\\r\\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\\r\\n  data %>% \\r\\n    group_by(across({{group.vars}})) %>% \\r\\n    summarise(n=n(), across({{summary.vars}}, \\r\\n                            .fn=FUNS,\\r\\n                            .names=\\\"{.col}_{.fn}\\\"))\\r\\n}\\r\\n```\\r\\n\\r\\nI often use `weighted.mean` as a summary function in the `FUNS` argument, which requires a weighting variable, which I pass with the bare column name, like this:\\r\\n\\r\\n```\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am), \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE), \\r\\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\\r\\n``` \\r\\n\\r\\nThis approach worked in `dplyr 1.0.10` and previous versions, but is failing in `dplyr 1.1.1`. Reproducible examples are below, first with 1.0.10 then with 1.1.1. \\r\\n\\r\\nHow can I update my function so that it will work properly with `dplyr 1.1.1`? I've never been happy with hard-coding the `w` argument anyway. Is there some tidyeval way that I should be passing the `w` argument into the summary function?\\r\\n\\r\\n### Example with `dplyr 1.0.10`\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n\\r\\n# Allow user to choose summary function(s)\\r\\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\\r\\n  data %>% \\r\\n    group_by(across({{group.vars}})) %>% \\r\\n    summarise(n=n(), across({{summary.vars}}, \\r\\n                            .fn=FUNS,\\r\\n                            .names=\\\"{.col}_{.fn}\\\"))\\r\\n}\\r\\n\\r\\n# These work in both 1.0.10 and 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp))\\r\\n#> # A tibble: 1 × 3\\r\\n#>       n mpg_mean hp_mean\\r\\n#>   <int>    <dbl>   <dbl>\\r\\n#> 1    32     20.1    147.\\r\\n\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am))\\r\\n#> `summarise()` has grouped output by 'vs'. You can override using the `.groups`\\r\\n#> argument.\\r\\n#> # A tibble: 4 × 5\\r\\n#> # Groups:   vs [2]\\r\\n#>      vs    am     n mpg_mean hp_mean\\r\\n#>   <dbl> <dbl> <int>    <dbl>   <dbl>\\r\\n#> 1     0     0    12     15.0   194. \\r\\n#> 2     0     1     6     19.8   181. \\r\\n#> 3     1     0     7     20.7   102. \\r\\n#> 4     1     1     7     28.4    80.6\\r\\n\\r\\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am), \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE), \\r\\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\\r\\n#> `summarise()` has grouped output by 'vs'. You can override using the `.groups`\\r\\n#> argument.\\r\\n#> # A tibble: 4 × 7\\r\\n#> # Groups:   vs [2]\\r\\n#>      vs    am     n mpg_mean mpg_mean.wted hp_mean hp_mean.wted\\r\\n#>   <dbl> <dbl> <int>    <dbl>         <dbl>   <dbl>        <dbl>\\r\\n#> 1     0     0    12     15.0          15.1   194.         194. \\r\\n#> 2     0     1     6     19.8          19.0   181.         198. \\r\\n#> 3     1     0     7     20.7          20.4   102.         105. \\r\\n#> 4     1     1     7     28.4          28.4    80.6         80.6\\r\\n\\r\\nsessionInfo()\\r\\n#> R version 4.2.2 (2022-10-31)\\r\\n#> Platform: aarch64-apple-darwin20 (64-bit)\\r\\n#> Running under: macOS Ventura 13.2.1\\r\\n#> \\r\\n#> Matrix products: default\\r\\n#> BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\\r\\n#> LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\\r\\n#> \\r\\n#> locale:\\r\\n#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\\r\\n#> \\r\\n#> attached base packages:\\r\\n#> [1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n#> \\r\\n#> other attached packages:\\r\\n#> [1] dplyr_1.0.10\\r\\n#> \\r\\n#> loaded via a namespace (and not attached):\\r\\n#>  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \\r\\n#>  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \\r\\n#>  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \\r\\n#> [13] R.oo_1.25.0       utf8_1.2.3        DBI_1.1.3         cli_3.6.1        \\r\\n#> [17] withr_2.5.0       htmltools_0.5.4   yaml_2.3.7        digest_0.6.31    \\r\\n#> [21] tibble_3.2.1      lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000 \\r\\n#> [25] R.utils_2.12.2    fs_1.6.1          glue_1.6.2        evaluate_0.20    \\r\\n#> [29] rmarkdown_2.20    reprex_2.0.2      compiler_4.2.2    pillar_1.8.1     \\r\\n#> [33] generics_0.1.3    R.methodsS3_1.8.2 pkgconfig_2.0.3\\r\\n```\\r\\n\\r\\n### Same example, but with `dplyr 1.1.1`\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n\\r\\n# Allow user to choose summary function(s)\\r\\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\\r\\n  data %>% \\r\\n    group_by(across({{group.vars}})) %>% \\r\\n    summarise(n=n(), across({{summary.vars}}, \\r\\n                            .fn=FUNS,\\r\\n                            .names=\\\"{.col}_{.fn}\\\"))\\r\\n}\\r\\n\\r\\n# These work in both 1.0.10 and 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp))\\r\\n#> # A tibble: 1 × 3\\r\\n#>       n mpg_mean hp_mean\\r\\n#>   <int>    <dbl>   <dbl>\\r\\n#> 1    32     20.1    147.\\r\\n\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am))\\r\\n#> `summarise()` has grouped output by 'vs'. You can override using the `.groups`\\r\\n#> argument.\\r\\n#> # A tibble: 4 × 5\\r\\n#> # Groups:   vs [2]\\r\\n#>      vs    am     n mpg_mean hp_mean\\r\\n#>   <dbl> <dbl> <int>    <dbl>   <dbl>\\r\\n#> 1     0     0    12     15.0   194. \\r\\n#> 2     0     1     6     19.8   181. \\r\\n#> 3     1     0     7     20.7   102. \\r\\n#> 4     1     1     7     28.4    80.6\\r\\n\\r\\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am), \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE), \\r\\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\\r\\n#> Error in `summarise()`:\\r\\n#> ℹ In argument: `across(c(mpg, hp), .fn = FUNS, .names =\\r\\n#>   \\\"{.col}_{.fn}\\\")`.\\r\\n#> ℹ In group 1: `vs = 0`, `am = 0`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Can't compute column `mpg_mean.wted`.\\r\\n#> Caused by error in `weighted.mean.default()`:\\r\\n#> ! object 'cyl' not found\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─mtcars %>% ...\\r\\n#>   2. ├─global fnc(...)\\r\\n#>   3. │ └─data %>% group_by(across({{ group.vars }})) %>% ...\\r\\n#>   4. ├─dplyr::summarise(...)\\r\\n#>   5. ├─dplyr:::summarise.grouped_df(...)\\r\\n#>   6. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, \\\"summarise\\\")\\r\\n#>   7. │   ├─base::withCallingHandlers(...)\\r\\n#>   8. │   └─dplyr:::map(quosures, summarise_eval_one, mask = mask)\\r\\n#>   9. │     └─base::lapply(.x, .f, ...)\\r\\n#>  10. │       └─dplyr (local) FUN(X[[i]], ...)\\r\\n#>  11. │         ├─base::withCallingHandlers(...)\\r\\n#>  12. │         └─mask$eval_all_summarise(quo)\\r\\n#>  13. │           └─dplyr (local) eval()\\r\\n#>  14. ├─`<rlng_lm_>`(mpg)\\r\\n#>  15. │ ├─stats::weighted.mean(., w = cyl, na.rm = TRUE)\\r\\n#>  16. │ └─stats:::weighted.mean.default(., w = cyl, na.rm = TRUE)\\r\\n#>  17. └─base::.handleSimpleError(...)\\r\\n#>  18.   └─dplyr (local) h(simpleError(msg, call))\\r\\n#>  19.     └─rlang::abort(msg, call = call(\\\"across\\\"), parent = cnd)\\r\\n\\r\\nsessionInfo()\\r\\n#> R version 4.2.2 (2022-10-31)\\r\\n#> Platform: aarch64-apple-darwin20 (64-bit)\\r\\n#> Running under: macOS Ventura 13.2.1\\r\\n#> \\r\\n#> Matrix products: default\\r\\n#> BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\\r\\n#> LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\\r\\n#> \\r\\n#> locale:\\r\\n#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\\r\\n#> \\r\\n#> attached base packages:\\r\\n#> [1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n#> \\r\\n#> other attached packages:\\r\\n#> [1] dplyr_1.1.1\\r\\n#> \\r\\n#> loaded via a namespace (and not attached):\\r\\n#>  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \\r\\n#>  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \\r\\n#>  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \\r\\n#> [13] R.oo_1.25.0       utf8_1.2.3        cli_3.6.0         withr_2.5.0      \\r\\n#> [17] htmltools_0.5.4   yaml_2.3.7        digest_0.6.31     tibble_3.2.1     \\r\\n#> [21] lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000  R.utils_2.12.2   \\r\\n#> [25] fs_1.6.1          glue_1.6.2        evaluate_0.20     rmarkdown_2.20   \\r\\n#> [29] reprex_2.0.2      compiler_4.2.2    pillar_1.8.1      generics_0.1.3   \\r\\n#> [33] R.methodsS3_1.8.2 pkgconfig_2.0.3\\r\\n```\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6809/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6809/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6806\", #>     \"id\": 1637564725, #>     \"node_id\": \"I_kwDOAGIUpc5hm0E1\", #>     \"number\": 6806, #>     \"title\": \"`count()` and `add_count()` could be much faster\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": 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\"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-03-23T13:38:59Z\", #>     \"updated_at\": \"2023-03-23T13:44:59Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Right now these eventually just do `summarise(n = n())` or `mutate(n = n())` at some point, but that can be very slow with many groups. We already have `vec_count()`, which should be much much faster than `count()` with many groups. We could also add some kind of vctrs primitive that works like a windowed count for `add_count()`, or just build on top of `vec_count()`'s result plus an additional call to `vec_match()`.\\r\\n\\r\\nWe'd have to think through how weighted counts would work, maybe `vec_count()` needs support for a weight argument (a double vector).\\r\\n\\r\\nMotivation is something like this, and flights isn't even that big. Roughly 55k groups here.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nlibrary(nycflights13)\\r\\n\\r\\nbench::mark(\\r\\n  count(flights, dep_time, dep_delay),\\r\\n  vctrs::vec_count(flights[c(\\\"dep_time\\\", \\\"dep_delay\\\")]),\\r\\n  check = FALSE\\r\\n)\\r\\n#> Warning: Some expressions had a GC in every iteration; so filtering is\\r\\n#> disabled.\\r\\n#> # A tibble: 2 × 6\\r\\n#>   expression                                                 min  median itr/s…¹\\r\\n#>   <bch:expr>                                            <bch:tm> <bch:t>   <dbl>\\r\\n#> 1 count(flights, dep_time, dep_delay)                    419.6ms 441.4ms    2.27\\r\\n#> 2 vctrs::vec_count(flights[c(\\\"dep_time\\\", \\\"dep_delay\\\")])   17.3ms  21.5ms   42.7 \\r\\n#> # … with 2 more variables: mem_alloc <bch:byt>, `gc/sec` <dbl>, and abbreviated\\r\\n#> #   variable name ¹​`itr/sec`\\r\\n```\\r\\n\\r\\nAlso need to handle the fact that `...` and `wt` are data-masking, probably with `add_computed_columns()` like `distinct()`.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6802\", #>     \"id\": 1634653405, #>     \"node_id\": \"I_kwDOAGIUpc5hbtTd\", #>     \"number\": 6802, #>     \"title\": \"Reconsider re-exports from rlang\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-03-21T20:35:59Z\", #>     \"updated_at\": \"2023-03-21T20:36:19Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Can we start to un-export any of these https://github.com/tidyverse/dplyr/blob/main/R/utils-tidy-eval.R?\\r\\n\\r\\nAlso, should we un-export `.data`? It doesn't belong on that help page, as noted in https://github.com/tidyverse/dplyr/pull/6801. We also don't export `.env` from dplyr, but those two are very closely related, and right now you can do `?dplyr::.data` but not `?dplyr::.env`.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6795\", #>     \"id\": 1631415133, #>     \"node_id\": \"I_kwDOAGIUpc5hPWtd\", #>     \"number\": 6795, #>     \"title\": \"`filter()` error for matrices doesn't give hint per NEWS for 1.0.8\", #>     \"user\": { #>       \"login\": \"mine-cetinkaya-rundel\", #>       \"id\": 5965649, #>       \"node_id\": \"MDQ6VXNlcjU5NjU2NDk=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/5965649?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mine-cetinkaya-rundel\", #>       \"html_url\": \"https://github.com/mine-cetinkaya-rundel\", #>       \"followers_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/followers\", #>       \"following_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/repos\", #>       \"events_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 5, #>     \"created_at\": \"2023-03-20T05:31:15Z\", #>     \"updated_at\": \"2023-03-20T20:09:57Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Between 1.0.7 and 1.1.0 `filter()` stopped taking matrices, per #5973. [NEWS for dplyr 1.0.8](https://github.com/tidyverse/dplyr/blob/main/NEWS.md#dplyr-108) reflects this change, but it also says there should be an informative message:\\r\\n\\r\\n> - `filter()` forbids matrix results (#5973) and warns about data frame results, especially data frames created from `across()` with a hint to use `if_any()` or `if_all()`.\\r\\n\\r\\nSee reprex below:\\r\\n\\r\\nGoal: Drop rows where _all_ columns other than `id` are `NA`s.\\r\\n\\r\\n```r\\r\\n# create df ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\\r\\n\\r\\nlibrary(tibble)\\r\\n\\r\\ndf <- tribble(\\r\\n  ~id, ~x,  ~y,\\r\\n  1,   NA, \\\"a\\\",\\r\\n  2,  \\\"b\\\",  NA,\\r\\n  3,   NA,  NA,\\r\\n  4,  \\\"c\\\", \\\"d\\\",\\r\\n)\\r\\n\\r\\n# new dplyr - 1.1.0 ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\\r\\n\\r\\nsuppressMessages(library(dplyr))\\r\\npackageVersion(\\\"dplyr\\\")\\r\\n#> [1] '1.1.0'\\r\\n\\r\\n# works\\r\\ndf |>\\r\\n  filter(if_any(!id, ~!is.na(.)))\\r\\n#> # A tibble: 3 × 3\\r\\n#>      id x     y    \\r\\n#>   <dbl> <chr> <chr>\\r\\n#> 1     1 <NA>  a    \\r\\n#> 2     2 b     <NA> \\r\\n#> 3     4 c     d\\r\\n\\r\\n# doesn't work\\r\\ndf |>\\r\\n  filter(!across(-id, is.na))\\r\\n#> Error in `filter()`:\\r\\n#> ℹ In argument: `!across(-id, is.na)`.\\r\\n#> Caused by error:\\r\\n#> ! `..1` must be a logical vector, not a logical matrix.\\r\\n\\r\\n# old dplyr - 1.0.7 ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\\r\\n\\r\\nunloadNamespace(\\\"dplyr\\\")\\r\\nnew_lib <- tempfile()\\r\\ndir.create(new_lib)\\r\\nwithr::with_libpaths(new = new_lib, remotes::install_version(\\\"dplyr\\\", \\\"1.0.7\\\"))\\r\\nsuppressMessages(library(dplyr, lib.loc = new_lib))\\r\\npackageVersion(\\\"dplyr\\\")\\r\\n#> [1] '1.0.7'\\r\\n\\r\\n# works\\r\\ndf |>\\r\\n  filter(if_any(!id, ~!is.na(.)))\\r\\n#> # A tibble: 3 × 3\\r\\n#>      id x     y    \\r\\n#>   <dbl> <chr> <chr>\\r\\n#> 1     1 <NA>  a    \\r\\n#> 2     2 b     <NA> \\r\\n#> 3     4 c     d\\r\\n\\r\\n# also works, but gives a different answer\\r\\ndf |>\\r\\n  filter(!across(-id, is.na))\\r\\n#> # A tibble: 2 × 3\\r\\n#>      id x     y    \\r\\n#>   <dbl> <chr> <chr>\\r\\n#> 1     2 b     <NA> \\r\\n#> 2     4 c     d\\r\\n\\r\\nunlink(new_lib, recursive = TRUE)\\r\\n```\\r\\n\\r\\nI believe, per the NEWS item, the message should be improved. I had a hard time deciphering the error given by 1.1.0 above, hence went the rabbit hole of trying to figure out what changed between the sessions.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6783\", #>     \"id\": 1615008309, #>     \"node_id\": \"I_kwDOAGIUpc5gQxI1\", #>     \"number\": 6783, #>     \"title\": \"`slice_max()` is quite slow for a big number of groups\", #>     \"user\": { #>       \"login\": \"mgirlich\", #>       \"id\": 18258854, #>       \"node_id\": \"MDQ6VXNlcjE4MjU4ODU0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18258854?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mgirlich\", #>       \"html_url\": \"https://github.com/mgirlich\", #>       \"followers_url\": \"https://api.github.com/users/mgirlich/followers\", #>       \"following_url\": \"https://api.github.com/users/mgirlich/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mgirlich/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mgirlich/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mgirlich/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mgirlich/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mgirlich/repos\", #>       \"events_url\": \"https://api.github.com/users/mgirlich/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mgirlich/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-03-08T10:09:01Z\", #>     \"updated_at\": \"2023-03-08T16:16:31Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"It has gotten better after installing the dev version of dplyr (before a lot of time was wasted in `arg_match()`). But it has still a big overhead.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\nset.seed(1)\\r\\nn <- 10e3\\r\\ndf <- tibble(\\r\\n  id = sample(n, n, replace = TRUE),\\r\\n  x = runif(n)\\r\\n)\\r\\n\\r\\nbench::mark(\\r\\n  slice_max = df |> \\r\\n    slice_max(x, n = 1, with_ties = FALSE, by = id),\\r\\n  arrange_slice = df |>\\r\\n    arrange(desc(x)) |> \\r\\n    slice(1, .by = id),\\r\\n  row_number = df |>\\r\\n    filter(row_number(x) == n(), .by = id),\\r\\n  # can't check because the order is different\\r\\n  check = FALSE\\r\\n)\\r\\n#> Warning: Some expressions had a GC in every iteration; so filtering is\\r\\n#> disabled.\\r\\n#> # A tibble: 3 × 6\\r\\n#>   expression         min   median `itr/sec` mem_alloc `gc/sec`\\r\\n#>   <bch:expr>    <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>\\r\\n#> 1 slice_max      803.7ms  803.7ms      1.24    7.57MB     23.6\\r\\n#> 2 arrange_slice  272.3ms  290.5ms      3.44    1.86MB     22.4\\r\\n#> 3 row_number      91.3ms   96.5ms     10.4     4.04MB     22.4\\r\\n\\r\\n# just make sure that the three approaches give the same results\\r\\na1 <- df |> \\r\\n  slice_max(x, n = 1, with_ties = FALSE, by = id) |> \\r\\n  arrange(id)\\r\\na2 <- df |>\\r\\n  arrange(desc(x)) |> \\r\\n  slice(1, .by = id) |> \\r\\n  arrange(id)\\r\\na3 <- df |>\\r\\n  filter(row_number(x) == n(), .by = id) |> \\r\\n  arrange(id)\\r\\n\\r\\nidentical(a1, a2)\\r\\n#> [1] TRUE\\r\\nidentical(a1, a3)\\r\\n#> [1] TRUE\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-03-08 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n<details style=\\\"margin-bottom:10px;\\\">\\r\\n<summary>\\r\\nSession info\\r\\n<\\/summary>\\r\\n\\r\\n``` r\\r\\nsessioninfo::session_info()\\r\\n#> ─ Session info ───────────────────────────────────────────────────────────────\\r\\n#>  setting  value\\r\\n#>  version  R version 4.2.0 (2022-04-22)\\r\\n#>  os       macOS Big Sur/Monterey 10.16\\r\\n#>  system   x86_64, darwin17.0\\r\\n#>  ui       X11\\r\\n#>  language (EN)\\r\\n#>  collate  en_US.UTF-8\\r\\n#>  ctype    en_US.UTF-8\\r\\n#>  tz       UTC\\r\\n#>  date     2023-03-08\\r\\n#>  pandoc   2.19.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)\\r\\n#> \\r\\n#> ─ Packages ───────────────────────────────────────────────────────────────────\\r\\n#>  package     * version    date (UTC) lib source\\r\\n#>  bench         1.1.2      2021-11-30 [1] CRAN (R 4.2.0)\\r\\n#>  cli           3.6.0      2023-01-09 [1] CRAN (R 4.2.0)\\r\\n#>  digest        0.6.31     2022-12-11 [1] CRAN (R 4.2.0)\\r\\n#>  dplyr       * 1.1.0.9000 2023-03-08 [1] Github (tidyverse/dplyr@2222d43)\\r\\n#>  evaluate      0.20       2023-01-17 [1] CRAN (R 4.2.0)\\r\\n#>  fansi         1.0.4      2023-01-22 [1] CRAN (R 4.2.0)\\r\\n#>  fastmap       1.1.1      2023-02-24 [1] CRAN (R 4.2.0)\\r\\n#>  fs            1.6.1      2023-02-06 [1] CRAN (R 4.2.0)\\r\\n#>  generics      0.1.3      2022-07-05 [1] CRAN (R 4.2.0)\\r\\n#>  glue          1.6.2      2022-02-24 [1] CRAN (R 4.2.0)\\r\\n#>  htmltools     0.5.4      2022-12-07 [1] CRAN (R 4.2.0)\\r\\n#>  knitr         1.42       2023-01-25 [1] CRAN (R 4.2.0)\\r\\n#>  lifecycle     1.0.3.9000 2022-10-10 [1] Github (r-lib/lifecycle@80a1e52)\\r\\n#>  magrittr      2.0.3      2022-03-30 [1] CRAN (R 4.2.0)\\r\\n#>  pillar        1.8.1      2022-08-19 [1] CRAN (R 4.2.0)\\r\\n#>  pkgconfig     2.0.3      2019-09-22 [1] CRAN (R 4.2.0)\\r\\n#>  profmem       0.6.0      2020-12-13 [1] CRAN (R 4.2.0)\\r\\n#>  purrr         1.0.1      2023-01-10 [1] CRAN (R 4.2.0)\\r\\n#>  R.cache       0.16.0     2022-07-21 [1] CRAN (R 4.2.0)\\r\\n#>  R.methodsS3   1.8.2      2022-06-13 [1] CRAN (R 4.2.0)\\r\\n#>  R.oo          1.25.0     2022-06-12 [1] CRAN (R 4.2.0)\\r\\n#>  R.utils       2.12.2     2022-11-11 [1] CRAN (R 4.2.0)\\r\\n#>  R6            2.5.1      2021-08-19 [1] CRAN (R 4.2.0)\\r\\n#>  reprex        2.0.2      2022-08-17 [1] CRAN (R 4.2.0)\\r\\n#>  rlang         1.1.0      2023-03-07 [1] Github (r-lib/rlang@60159c7)\\r\\n#>  rmarkdown     2.20       2023-01-19 [1] CRAN (R 4.2.0)\\r\\n#>  rstudioapi    0.14       2022-08-22 [1] CRAN (R 4.2.0)\\r\\n#>  sessioninfo   1.2.2      2021-12-06 [1] CRAN (R 4.2.0)\\r\\n#>  styler        1.9.1      2023-03-04 [1] CRAN (R 4.2.0)\\r\\n#>  tibble        3.1.8      2022-07-22 [1] CRAN (R 4.2.0)\\r\\n#>  tidyselect    1.2.0      2022-10-10 [1] CRAN (R 4.2.0)\\r\\n#>  utf8          1.2.3      2023-01-31 [1] CRAN (R 4.2.0)\\r\\n#>  vctrs         0.5.2.9000 2023-03-08 [1] Github (r-lib/vctrs@bdea1ce)\\r\\n#>  withr         2.5.0      2022-03-03 [1] CRAN (R 4.2.0)\\r\\n#>  xfun          0.37       2023-01-31 [1] CRAN (R 4.2.0)\\r\\n#>  yaml          2.3.7      2023-01-23 [1] CRAN (R 4.2.0)\\r\\n#> \\r\\n#>  [1] /Library/Frameworks/R.framework/Versions/4.2/Resources/library\\r\\n#> \\r\\n#> ──────────────────────────────────────────────────────────────────────────────\\r\\n```\\r\\n\\r\\n<\\/details>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6774\", #>     \"id\": 1609648276, #>     \"node_id\": \"I_kwDOAGIUpc5f8UiU\", #>     \"number\": 6774, #>     \"title\": \"`ungroup()` drops data frame attributes\", #>     \"user\": { #>       \"login\": \"mkoohafkan\", #>       \"id\": 4790348, #>       \"node_id\": \"MDQ6VXNlcjQ3OTAzNDg=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4790348?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mkoohafkan\", #>       \"html_url\": \"https://github.com/mkoohafkan\", #>       \"followers_url\": \"https://api.github.com/users/mkoohafkan/followers\", #>       \"following_url\": \"https://api.github.com/users/mkoohafkan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mkoohafkan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mkoohafkan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mkoohafkan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mkoohafkan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mkoohafkan/repos\", #>       \"events_url\": \"https://api.github.com/users/mkoohafkan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mkoohafkan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-03-04T07:05:33Z\", #>     \"updated_at\": \"2023-03-23T15:56:06Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"This is referring to **dataframe/tibble** attributes, not tibble *column* attributes. The CRAN install of dplyr 1.1.0 sometimes drops attributes:\\r\\n\\r\\n```r\\r\\nd = mtcars\\r\\nattr(d, \\\"foo\\\") = \\\"bar\\\"\\r\\nattr(d, \\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\n\\r\\n## preserved\\r\\nd |> select(cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> rename(cyl2 = cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> arrange(cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> group_by(cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> mutate(mpg2 = mpg) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> transmute(mpg2 = mpg) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> filter(cyl == 1L) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> count(cyl) |> attr(\\\"foo\\\") \\r\\n#> [1] \\\"bar\\\"\\r\\nd |> bind_rows(d) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> bind_cols(select(d, cyl2 = cyl)) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\n\\r\\n\\r\\n## dropped\\r\\nd |> group_by(cyl) |> ungroup() |> attr(\\\"foo\\\")\\r\\n#> NULL\\r\\nd |> summarize(mpg = max(mpg)) |> attr(\\\"foo\\\")\\r\\n#> NULL\\r\\n```\\r\\n\\r\\nI can understand why it might make sense for `summarize()` to drop attributes (but then why does `count()` preserve them?), but I don't see why `ungroup(group_by(...))` should drop attributes unilaterally. Given that almost all `dplyr` verbs preserve the attribute, I'm wondering if this is a bug/regression.\\r\\n\\r\\nThere are a variety of issues regarding attributes but they are all closed.\\r\\n\\r\\n- https://github.com/tidyverse/dplyr/issues/2432\\r\\n- https://github.com/tidyverse/dplyr/issues/5132\\r\\n- https://github.com/tidyverse/dplyr/issues/3429\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6712\", #>     \"id\": 1580234527, #>     \"node_id\": \"I_kwDOAGIUpc5eMHcf\", #>     \"number\": 6712, #>     \"title\": \"Can we improve on this `across()` error?\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-02-10T19:48:08Z\", #>     \"updated_at\": \"2023-02-10T19:48:08Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\ndf <- tibble(x = 1:2, y = 3:4)\\r\\n\\r\\nfn <- function(col) {\\r\\n  stop(\\\"oh no\\\")\\r\\n}\\r\\n\\r\\nmutate(df, across(y, fn))\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(y, fn)`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Can't compute column `y`.\\r\\n#> Caused by error:\\r\\n#> ! oh no\\r\\n```\\r\\n\\r\\nIt can probably just be:\\r\\n\\r\\n```r\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(y, fn)`.\\r\\n#> ℹ In column: `y`.\\r\\n#> Caused by error:\\r\\n#> ! oh no\\r\\n```\\r\\n\\r\\nAs mentioned here https://github.com/tidyverse/dplyr/pull/6704#discussion_r1102408064\\r\\n\\r\\nThrown from here, so seems plausible that we could improve on this\\r\\nhttps://github.com/tidyverse/dplyr/blob/49b39af5ebd79bf06bb809c8fdf3bd955d8f9ad8/R/mutate.R#L382-L388\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6676\", #>     \"id\": 1566600644, #>     \"node_id\": \"I_kwDOAGIUpc5dYG3E\", #>     \"number\": 6676, #>     \"title\": \"`bind_rows()` on a list of data.tables creates corrupt output\", #>     \"user\": { #>       \"login\": \"emilBeBri\", #>       \"id\": 964816, #>       \"node_id\": \"MDQ6VXNlcjk2NDgxNg==\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/964816?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/emilBeBri\", #>       \"html_url\": \"https://github.com/emilBeBri\", #>       \"followers_url\": \"https://api.github.com/users/emilBeBri/followers\", #>       \"following_url\": \"https://api.github.com/users/emilBeBri/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/emilBeBri/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/emilBeBri/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/emilBeBri/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/emilBeBri/orgs\", #>       \"repos_url\": \"https://api.github.com/users/emilBeBri/repos\", #>       \"events_url\": \"https://api.github.com/users/emilBeBri/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/emilBeBri/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-02-01T18:29:11Z\", #>     \"updated_at\": \"2023-02-14T17:33:04Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"\\r\\nwhen using bind_rows on a list of data.tables with keys, with either map_dfr or a do.call, the keys are not removed This is a problem, because the keys are not correct anymore, which means that later queries are using an index that is wrong. \\r\\n\\r\\nnot sure if I should report this under data.table or dplyr, but since the issue is in bin_rows, I guess it is dplyr.\\r\\n\\r\\n[here is the issue I filed under data.table](https://github.com/Rdatatable/data.table/issues/5587)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\nlibrary(data.table)\\r\\nlibrary(dplyr)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\ndata <- data.table(var1=c('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'), var2=c(rep(2016, 4), rep(2018, 4)), key=c('var1', 'var2'))\\r\\n\\r\\n\\r\\ntest1 <- lapply(c(2018, 2016), function(x) data[var2 %in% c(x-1, x)])\\r\\n\\r\\n\\r\\ntest2 <- do.call(bind_rows, test1)\\r\\n# wrong \\r\\ntest2[var1 %in% c('c', 'e'), .N]\\r\\n# right\\r\\nsum( test2$var1 %in% c('c', 'e') )\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\nsame thing  happens w. map_dfr,that uses bind_rows under the hood. This is how I found the issue. It is very common in my workflow, and I suspect I am not the one.\\r\\n\\r\\n\\r\\ndoing the same with rbind removes the keys, which is the expected behaviour - as the index from the key are no longer valid.\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\ntest2_rbind <- do.call(rbind, test1) \\r\\n# here it is fine - because the keys not there, giving a wrong picture of the structure of the DT\\r\\ntest2_rbind[var1 %in% c('c', 'e'), .N]\\r\\n\\r\\n# when removing the keys, everything is fine. \\r\\nsetkey(test2, NULL)\\r\\ntest2[var1 %in% c('c', 'e'), .N]\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\n\\r\\ncuriosly, using split() instead of lapply circumvents the issue - but this is not a solution, since typically you need to apply a function to the data, - splitting it and then recombining it with split() makes no sense. But I am including it here for completeness.\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\ntest1 <- split(data, data$var2)\\r\\ntest2 <- do.call(bind_rows, test1)\\r\\n# right \\r\\ntest2[var1 %in% c('c', 'e'), .N]\\r\\n\\r\\n```\\r\\n\\r\\nsessionInfo\\r\\n\\r\\n```\\r\\n\\r\\nR version 4.2.2 (2022-10-31)\\r\\nPlatform: x86_64-pc-linux-gnu (64-bit)\\r\\nRunning under: Manjaro Linux\\r\\n\\r\\nMatrix products: default\\r\\nBLAS:   /usr/lib/libblas.so.3.11.0\\r\\nLAPACK: /usr/lib/liblapack.so.3.11.0\\r\\n\\r\\nlocale:\\r\\n [1] LC_CTYPE=en_DK.UTF-8       LC_NUMERIC=C\\r\\n [3] LC_TIME=en_DK.UTF-8        LC_COLLATE=en_DK.UTF-8\\r\\n [5] LC_MONETARY=en_DK.UTF-8    LC_MESSAGES=en_DK.UTF-8\\r\\n [7] LC_PAPER=en_DK.UTF-8       LC_NAME=C\\r\\n [9] LC_ADDRESS=C               LC_TELEPHONE=C\\r\\n[11] LC_MEASUREMENT=en_DK.UTF-8 LC_IDENTIFICATION=C\\r\\n\\r\\nattached base packages:\\r\\n[1] stats     graphics  grDevices utils     datasets  methods   base\\r\\n\\r\\nother attached packages:\\r\\n[1] dplyr_1.0.10      data.table_1.14.6\\r\\n\\r\\nloaded via a namespace (and not attached):\\r\\n [1] fansi_1.0.4      assertthat_0.2.1 utf8_1.2.2       R6_2.5.1\\r\\n [5] DBI_1.1.3        lifecycle_1.0.3  magrittr_2.0.3   pillar_1.8.1\\r\\n [9] rlang_1.0.6      cli_3.6.0        vctrs_0.5.2      generics_0.1.3\\r\\n[13] glue_1.6.2       compiler_4.2.2   pkgconfig_2.0.3  tidyselect_1.2.0\\r\\n[17] tibble_3.1.8\\r\\n\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     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\"2023-01-26T17:12:22Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"With the introduction of `.by`, we no longer sort group keys automatically. There are a whole host of good reasons for this as outlined here https://github.com/tidyverse/dplyr/issues/5664#issuecomment-907232443, and I am mostly confident this is the right long term default for dplyr.\\r\\n\\r\\nHowever, I am empathetic to the fact that users do often like to see their summary results sorted in ascending order. Right now, our recommendation is:\\r\\n\\r\\n```r\\r\\ndf %>%\\r\\n  summarise(..., .by = c(a, b, c)) %>%\\r\\n  arrange(a, b, c) # could also come before `summarise()`\\r\\n```\\r\\n\\r\\nThis is nice because you get the full power of `arrange()` including `desc()` and `.locale`.\\r\\n\\r\\nI think we should _consider_ a `.sort` argument like:\\r\\n\\r\\n```r\\r\\ndf %>%\\r\\n  summarise(..., .by = c(a, b, c), .sort = TRUE)\\r\\n```\\r\\n\\r\\n- `.sort = FALSE` would be the default for reasons mentioned above.\\r\\n- We'd document this as the 100% backwards compatible way to transition from `group_by()` to `.by` (even though most of the time the ordering isn't important).\\r\\n- You must accept that you get _ascending order_ and the _C locale_. That makes it compatible with `group_by()`. If you need anything fancier, call `arrange()`.\\r\\n- I do like that you won't have to repeat the group names.\\r\\n- Obviously `.sort = TRUE` errors on unorderable types like clock's year-month-weekday.\\r\\n- This would probably only be an argument for the `.data.frame` method, as opposed to the generic, because dbplyr probably won't want to enforce a sort order? Uncertain.\\r\\n\\r\\nBasically, this leaves the idea of a `groupby + summarise` operation theoretically pure (because it shouldn't require orderable keys), but also gives users a convenient way to optionally opt in to sorted results.\\r\\n\\r\\n---\\r\\n\\r\\nThere are 3 functions that would get this argument:\\r\\n- `summarise()`\\r\\n- `reframe()`\\r\\n- `slice_sample()` (goes with #6662)\\r\\n\\r\\nThe following would not get `.sort` because they aren't about row ordering:\\r\\n- `filter()`\\r\\n- `mutate()`\\r\\n- `slice()` and `slice_min/max/head/tail()` (after #6662 is changed)\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6663/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6663/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6662\", #>     \"id\": 1558447141, #>     \"node_id\": \"I_kwDOAGIUpc5c5AQl\", #>     \"number\": 6662, #>     \"title\": \"`slice()` and `slice_head/tail/min/max()` should act like a `filter()` not a `reframe()`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708198, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODE5OA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/bug\", #>         \"name\": \"bug\", #>         \"color\": \"E0B3A2\", #>         \"default\": true, #>         \"description\": \"an unexpected problem or unintended behavior\" #>       }, #>       { #>         \"id\": 3407327207, #>         \"node_id\": \"LA_kwDOAGIUpc7LF6_n\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/rows%20%E2%86%95%EF%B8%8F\", #>         \"name\": \"rows ↕️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on rows: filter(), slice(), arrange()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-01-26T16:46:52Z\", #>     \"updated_at\": \"2023-01-26T16:51:00Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Note that this `filter()` call keeps the groups of `x` separated. i.e.  the groups of `2` and `1` are not aggregated together\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf <- tibble(x = c(2, 1, 2, 2, 1), y = c(3, 2, 1, 2, 4))\\r\\ndf\\r\\n#> # A tibble: 5 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     1     2\\r\\n#> 3     2     1\\r\\n#> 4     2     2\\r\\n#> 5     1     4\\r\\n\\r\\n# Maintain group separation, we just take the first 2 per x group\\r\\ndf %>% filter(row_number() %in% 1:2, .by = x)\\r\\n#> # A tibble: 4 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     1     2\\r\\n#> 3     2     1\\r\\n#> 4     1     4\\r\\n```\\r\\n\\r\\n`filter()` is simply about deciding which rows to keep, not about the ordering of the result.\\r\\n\\r\\nI think that `slice()` and `slice_head/tail/min/max()` should function the exact same way. They currently do not:\\r\\n\\r\\n``` r\\r\\n# These both group the results by `x`.\\r\\n# The difference is `.by` doesn't do an additional sort by `x`.\\r\\ndf %>% slice(1:2, .by = x)\\r\\n#> # A tibble: 4 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     2     1\\r\\n#> 3     1     2\\r\\n#> 4     1     4\\r\\n\\r\\ndf %>% group_by(x) %>% slice(1:2)\\r\\n#> # A tibble: 4 × 2\\r\\n#> # Groups:   x [2]\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     1     2\\r\\n#> 2     1     4\\r\\n#> 3     2     3\\r\\n#> 4     2     1\\r\\n```\\r\\n\\r\\nSlicing is purely about figuring out which rows to _keep_. It doesn't have anything to do with determining the order of said rows.\\r\\n\\r\\nThe current slice implementation is (implicitly) like a `reframe()` call instead.\\r\\n\\r\\n``` r\\r\\ndf %>% reframe(.by = x, {\\r\\n  data <- pick(everything())\\r\\n  data[row_number() %in% 1:2,]\\r\\n})\\r\\n#> # A tibble: 4 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     2     1\\r\\n#> 3     1     2\\r\\n#> 4     1     4\\r\\n```\\r\\n\\r\\nI think the way to practically make it work like a `filter()` is to change the implementation to build up a logical vector the same size as `.data` to slice with. That would retain the row ordering of `.data`.\\r\\n\\r\\n---\\r\\n\\r\\nThe one `slice()` family exception to this is `slice_sample()`, which is not a filter. It can even generate more rows than you started with. Possibly this is a sign that `slice_*()` was an unfortunate prefix for that.\\r\\n\\r\\nFor this reason, `slice_sample()` should continue to aggregate groups together. It will just be slightly different, but that is okay.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6660\", #>     \"id\": 1556850210, #>     \"node_id\": \"I_kwDOAGIUpc5cy6Yi\", #>     \"number\": 6660, #>     \"title\": \"`mutate(.by_row =)`, `reframe(.by_row =)`, and possibly `filter(.by_row =)`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-01-25T15:31:55Z\", #>     \"updated_at\": \"2023-02-08T19:02:16Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Related to https://github.com/tidyverse/dplyr/issues/4723\\r\\n\\r\\nWith the introduction of `.by`, it seems reasonable to once again reconsider `rowwise()` as well. I think we are convinced that the _idea_ of rowwise is useful, but the implementation could possibly be improved. A few pain points:\\r\\n- `rowwise()` is a form of persistent grouping, but you rarely want it on for more than 1 operation\\r\\n- `ungroup()` is an odd verb for turning off rowwise behavior\\r\\n- It still sucks that you need `summarise(model = list(lm(...)))`, i.e. the `list()` wrapping is manual\\r\\n- Maintaining the `rowwise_df` class is difficult and error prone for us\\r\\n- There are _very_ few times where rowwise behavior is actually useful. I think the two cases are `mutate()` and `reframe()`.\\r\\n\\r\\n---\\r\\n\\r\\nWith that in mind, I'd like to suggest a two-part replacement for `rowwise()`:\\r\\n- Two per-operation rowwise verbs, `mutate_row()` and `reframe_row()`. These become the _only_ two places in dplyr where rowwise behavior is applicable.\\r\\n- Give `mutate()`, `summarise()`, `reframe()`, `mutate_row()`, and `reframe_row()` the ability to automatically wrap scalars in a list. i.e. if `vec_is(elt)` is `FALSE`, wrap automatically into a list. This means that value could _never_ exist in a data frame column as is, so there is no ambiguity about wrapping and it is fairly easy to explain.\\r\\n\\r\\nThose two proposals result in the following new patterns:\\r\\n\\r\\n```r\\r\\n# dplyr 1.1.0\\r\\niris %>%\\r\\n  tidyr::nest(.by = Species) %>%\\r\\n  rowwise(Species) %>%\\r\\n  mutate(model = list(lm(Petal.Length ~ Sepal.Length, data = data))) %>%\\r\\n  reframe(broom::tidy(model))\\r\\n   \\r\\n# New 1:\\r\\n# (note the lack of list(), and no persistant rowwise-ness)\\r\\n# (note how we carry Species along in the reframe_row() call)\\r\\niris %>%\\r\\n  tidyr::nest(.by = Species) %>%\\r\\n  mutate_row(model = lm(Petal.Length ~ Sepal.Length, data = data)) %>%\\r\\n  reframe_row(Species, broom::tidy(model))\\r\\n\\r\\n# New 2:\\r\\n# (note that even summarise() doesn't need manual list() wrapping)\\r\\niris %>%\\r\\n  summarise(\\r\\n    model = lm(Petal.Length ~ Sepal.Length, data = pick(everything())),\\r\\n    .by = Species\\r\\n  ) %>%\\r\\n  reframe_row(Species, broom::tidy(model))\\r\\n\\r\\n# All result in:\\r\\n\\r\\n#> # A tibble: 6 × 6\\r\\n#>   Species    term         estimate std.error statistic  p.value\\r\\n#>   <fct>      <chr>           <dbl>     <dbl>     <dbl>    <dbl>\\r\\n#> 1 setosa     (Intercept)     0.803    0.344      2.34  2.38e- 2\\r\\n#> 2 setosa     Sepal.Length    0.132    0.0685     1.92  6.07e- 2\\r\\n#> 3 versicolor (Intercept)     0.185    0.514      0.360 7.20e- 1\\r\\n#> 4 versicolor Sepal.Length    0.686    0.0863     7.95  2.59e-10\\r\\n#> 5 virginica  (Intercept)     0.610    0.417      1.46  1.50e- 1\\r\\n#> 6 virginica  Sepal.Length    0.750    0.0630    11.9   6.30e-16\\r\\n```\\r\\n\\r\\nThis two part proposal has the very nice property that the difference between `mutate()` and `mutate_row()` becomes _purely_ about column access:\\r\\n- `mutate()` accesses columns using `vec_slice()` / `[`\\r\\n- `mutate_row()` accesses columns using `vec_slice2()` / `[[`\\r\\n\\r\\nIn other words, rowwise has _nothing_ to do with the output type of each column expression, and you still get useful results.\\r\\n\\r\\nIn terms of other invariants, there is one related to `vec_size()`:\\r\\n- `mutate_row()` requires each expression to return an element of `vec_size() == 1`\\r\\n- `reframe_row()` allows each expression to return an element of any size\\r\\n- (the size invariant is enforced after list wrapping) \\r\\n\\r\\nOther niceties:\\r\\n- It becomes very clear when you are doing a rowwise operation, because it is in the name of the verb (similar to `.by` being in the verb)\\r\\n- Somewhat obvious, but it means rowwise behavior isn't persistent. You always have bare tibble in, bare tibble out, which greatly simplifies things.\\r\\n\\r\\n---\\r\\n\\r\\nExtra notes:\\r\\n- Somewhat obvious, but `mutate_row()` and `reframe_row()` won't get `.by` because they operation \\\"by row\\\"\\r\\n- We don't want to teach `.by` about rowwise behavior, like `.by = .row` or something. We want `.by` to be _pure_ tidyselect. Plus this special behavior would only apply for `mutate()` and `reframe()` and that would be very confusing.\\r\\n- We do _not_ need `summarise_row()`. This would have the _exact_ same semantics as `mutate_row()`, but would just drop unused columns (which can mostly be done with `.keep` in `mutate_row()`). In particular `summarise_row()` and `mutate_row()` would both have to have the `vec_size() == 1` invariant from above, so we really don't need both.\\r\\n- There is no need for `filter_row()`. The only useful thing I can think of is something like `filter_row(!is.null(model))` for filtering out `NULL` list elements. But you can do that way more efficiently with an ungrouped call to `filter(!funs::is_na(model))`.\\r\\n\\r\\n`mutate_row()` and `reframe_row()` mostly have the semantics of the wrappers below, but this doesn't do the automatic list-wrapping of scalars:\\r\\n\\r\\n```r\\r\\nmutate_row <- function(.data, ...) {\\r\\n  .data <- rowwise(.data)\\r\\n  .data <- mutate(.data, ...)\\r\\n  ungroup(.data)\\r\\n}\\r\\n\\r\\nreframe_row <- function(.data, ...) {\\r\\n  .data <- rowwise(.data)\\r\\n  reframe(.data, ...)\\r\\n}\\r\\n```\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6596\", #>     \"id\": 1490175148, #>     \"node_id\": \"PR_kwDOAGIUpc5FGRxp\", #>     \"number\": 6596, #>     \"title\": \"WIP: Avoid stripping attributes in dplyr_reconstruct()\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": 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\"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 2, #>     \"created_at\": \"2022-12-11T16:13:54Z\", #>     \"updated_at\": \"2023-05-17T13:37:25Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6596\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6596\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6596.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6596.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Reverts #5277.\\r\\n\\r\\nThis avoids materialization of the lazy relational object.\\r\\n\\r\\nWe don't need this if https://github.com/duckdblabs/duckplyr/commit/9ceb8157d1cc2e17e1f27b6b09afd5fdc58670b7 is deemed okay.\", #>     \"reactions\": { #>       \"url\": 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\"id\": 1470361443, #>     \"node_id\": \"I_kwDOAGIUpc5Xo-9j\", #>     \"number\": 6580, #>     \"title\": \"Make `Joining with` message clickable to copy-to-clipboard\", #>     \"user\": { #>       \"login\": \"donboyd5\", #>       \"id\": 6538392, #>       \"node_id\": \"MDQ6VXNlcjY1MzgzOTI=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/6538392?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/donboyd5\", #>       \"html_url\": \"https://github.com/donboyd5\", #>       \"followers_url\": \"https://api.github.com/users/donboyd5/followers\", #>       \"following_url\": \"https://api.github.com/users/donboyd5/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/donboyd5/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/donboyd5/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/donboyd5/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/donboyd5/orgs\", #>       \"repos_url\": \"https://api.github.com/users/donboyd5/repos\", #>       \"events_url\": \"https://api.github.com/users/donboyd5/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/donboyd5/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1257707950, #>         \"node_id\": \"MDU6TGFiZWwxMjU3NzA3OTUw\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/tables%20%F0%9F%A7%AE\", #>         \"name\": \"tables 🧮\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"joins and set operations\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2022-11-30T23:25:12Z\", #>     \"updated_at\": \"2022-12-10T19:10:28Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Hi,\\r\\n\\r\\ndplyr 1.1.0 seems like it is going to be great (I installed the dev version with `pak::[pak](http://pak.r-lib.org/reference/pak.html)(\\\"tidyverse/dplyr\\\")`). I really like .by in summarise and mutate.\\r\\n\\r\\nOne small suggestion for messages related to the new join:\\r\\n\\r\\nIn the old join, if I leave out the \\\"by\\\" it gives a helpful message stating what it does by default, giving the \\\", by=\\\" statement it used. This is nice because if I like it, I can copy it directly into code.\\r\\n\\r\\nThe new 1.1.0 message when \\\"by\\\" is left out is slightly different. For example, here is a typical message:\\r\\n\\r\\n``` \\r\\nJoining with `by = join_by(mergevar)`\\r\\n```\\r\\n\\r\\nNotice that this does not have a comma and space before the \\\"by\\\", or else it would look like this:\\r\\n\\r\\n``` \\r\\nJoining with `, by = join_by(mergevar)`\\r\\n```\\r\\n\\r\\nThe advantage of the second message is that it can be copied into code without the two extra keystrokes the first one requires. Hardly a significant issue, but it could add up over thousands of people and many days.\\r\\n\\r\\nThanks for considering it.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6580/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6580/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560/labels{/name}\", #>     \"comments_url\": 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\"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 3407327207, #>         \"node_id\": \"LA_kwDOAGIUpc7LF6_n\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/rows%20%E2%86%95%EF%B8%8F\", #>         \"name\": \"rows ↕️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on rows: filter(), slice(), arrange()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 6, #>     \"created_at\": \"2022-11-23T15:02:42Z\", #>     \"updated_at\": \"2023-04-29T07:50:47Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Currently, `filter()`:\\r\\n- Retains `TRUE`\\r\\n- Drops `FALSE` and `NA`\\r\\n- This matches `subset()`\\r\\n\\r\\nA number of requests have come up in the past desiring:\\r\\n- Retains `TRUE` and `NA`\\r\\n- Drops `FALSE`\\r\\n- This matches `[`\\r\\n\\r\\nHere are a few:\\r\\n* https://stackoverflow.com/questions/46378437/how-to-filter-data-without-losing-na-rows-using-dplyr (17k views)\\r\\n* https://stackoverflow.com/questions/32908589/why-does-dplyrs-filter-drop-na-values-from-a-factor-variable (8k views)\\r\\n* https://github.com/tidyverse/dplyr/issues/6432 (august this year)\\r\\n* https://github.com/tidyverse/dplyr/issues/6013\\r\\n* https://github.com/tidyverse/dplyr/issues/4478 (requesting more docs about this)\\r\\n* https://github.com/tidyverse/dplyr/issues/3196\\r\\n* https://github.com/tidyverse/dplyr/issues/812\\r\\n* https://github.com/tidyverse/dplyr/issues/1527 (more about drop(), but still related to NAs)\\r\\n* My wife has brought this up to me at least 3 times\\r\\n\\r\\nThis is most apparently annoying when you have multiple columns to filter by\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\ndf <- tibble(\\r\\n  x = c(TRUE, FALSE, NA, NA, NA),\\r\\n  y = c(NA, TRUE, NA, NA, NA),\\r\\n  z = c(TRUE, TRUE, TRUE, FALSE, NA)\\r\\n)\\r\\ndf\\r\\n#> # A tibble: 5 × 3\\r\\n#>   x     y     z    \\r\\n#>   <lgl> <lgl> <lgl>\\r\\n#> 1 TRUE  NA    TRUE \\r\\n#> 2 FALSE TRUE  TRUE \\r\\n#> 3 NA    NA    TRUE \\r\\n#> 4 NA    NA    FALSE\\r\\n#> 5 NA    NA    NA\\r\\n\\r\\nfilter(df, x, y, z)\\r\\n#> # A tibble: 0 × 3\\r\\n#> # … with 3 variables: x <lgl>, y <lgl>, z <lgl>\\r\\n\\r\\nfilter(df, x | is.na(x), y | is.na(y), z | is.na(z))\\r\\n#> # A tibble: 3 × 3\\r\\n#>   x     y     z    \\r\\n#>   <lgl> <lgl> <lgl>\\r\\n#> 1 TRUE  NA    TRUE \\r\\n#> 2 NA    NA    TRUE \\r\\n#> 3 NA    NA    NA\\r\\n```\\r\\n\\r\\nI propose a `.missing = c(\\\"drop\\\", \\\"keep\\\", \\\"error\\\")` argument to `filter()` that would allow you to optionally keep rows with `NA`.\\r\\n\\r\\nWe'd have to carefully analyze the boolean algebra here to make sure we are being consistent. In particular I think we want to make sure these are the same if we do this, but I think they are:\\r\\n\\r\\n```r\\r\\n# these should be the same\\r\\nfilter(df, x, y, .missing = \\\"drop\\\")\\r\\nfilter(df, x & y, .missing = \\\"drop\\\")\\r\\n\\r\\n# these should be the same\\r\\nfilter(df, x, y, .missing = \\\"keep\\\")\\r\\nfilter(df, x & y, .missing = \\\"keep\\\")\\r\\n```\\r\\n\\r\\nThe `\\\"drop\\\"` case is probably already consistent because that is what we do today, and the `\\\"keep\\\"` case is probably like this, which seems consistent\\r\\n\\r\\n``` r\\r\\nna_to_true <- function(x) {\\r\\n  x[is.na(x)] <- TRUE\\r\\n  x\\r\\n}\\r\\n\\r\\nna_to_true(TRUE & NA)\\r\\n#> [1] TRUE\\r\\nna_to_true(TRUE) & na_to_true(NA)\\r\\n#> [1] TRUE\\r\\n```\\r\\n\\r\\n---\\r\\n\\r\\nWhen we do this, we should also think about whether `vec_pall()` or `vec_pany()` could be used in `filter()` in any way, since they are heavily optimized for performance.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560/reactions\", #>       \"total_count\": 11, #>       \"+1\": 11, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6532\", #>     \"id\": 1440478260, #>     \"node_id\": \"I_kwDOAGIUpc5V2_Q0\", #>     \"number\": 6532, #>     \"title\": \"Alternative `summarise()` groupings\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1728164976, #>         \"node_id\": \"MDU6TGFiZWwxNzI4MTY0OTc2\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/grouping%20:family_man_woman_girl_boy:\", #>         \"name\": \"grouping :family_man_woman_girl_boy:\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2022-11-08T16:02:55Z\", #>     \"updated_at\": \"2022-11-18T15:12:16Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Related to\\r\\nhttps://github.com/tidyverse/dplyr/issues/14\\r\\nhttps://github.com/tidyverse/dplyr/issues/236\\r\\nhttps://github.com/tidyverse/dplyr/issues/4722\\r\\n\\r\\nWith the addition of `.by`, we now have less reliance on the `<grouped_df>` class in general. This means that it is probably a lot easier to add narrowly scoped grouping extensions that only affect specific verbs.\\r\\n\\r\\nFor example, `summarise()` could gain support for bootstrap summaries, sort of like what I did for strapgod https://github.com/DavisVaughan/strapgod. It could also gain support for rollup summaries, completing with syntax like `complete(x / (a * b))`, and maybe rolling window summaries.\\r\\n\\r\\nThe general idea is that instead of grouping by columns:\\r\\n\\r\\n```r\\r\\ndf %>% summarise(mean = mean(x), .by = c(y, z))\\r\\n```\\r\\n\\r\\nyou could do this instead to generate 5 replicates of the data and then summarise the mean of each replicate:\\r\\n\\r\\n```r\\r\\ndf %>% summarise(mean = mean(x), .rows = bootstraps(5))\\r\\n```\\r\\n\\r\\nThis theoretical `.rows` argument (name subject to change) would be mutually exclusive with `.by`. The implementation of `bootstraps()` would roughly look like:\\r\\n\\r\\n```r\\r\\nbootstraps <- function(n) {\\r\\n  function (data) {\\r\\n    # Use `data` and `n` to generate a `group_data()` structure,\\r\\n    # i.e. with `n = 5` probably a `.bootstraps = 1:5` column and a `.rows = list(sample(5), sample(5), ...)` list col\\r\\n    tibble(...)\\r\\n  }\\r\\n}\\r\\n```\\r\\n\\r\\n`.rows` would take either:\\r\\n- A data frame containing a `group_data()`-like structure that identifies which rows of `data` go with each group, and what the keys are\\r\\n- Or a function of 1 argument, the original data, which would generate that group-data like data frame.\\r\\n\\r\\nRight now we think that the only verb that should have this argument is `summarise()`. This alternative grouping structure probably doesn't make a whole lot of sense for `mutate()`, `filter()`, `slice()`, etc.\\r\\n\\r\\nThis could be a solution to the fact that `.by` doesn't allow you to support `.drop = FALSE`. That `.drop` option is essentially only used with `summarise()`, so something like this could possibly replace it `summarise(df, .rows = no_drop(x, y))` which would internally just create the group-data structure that we already make with `compute_groups(drop = FALSE)`.\\r\\n\\r\\nA list of potential extensions:\\r\\n- `group(x, y, z)`, equivalent to `.by`\\r\\n- `rollup(x, y)`\\r\\n- `complete(x / (a * b))` Wilkinson-Rogers syntax\\r\\n- `no_drop(x, y)`, for `.drop = FALSE`, but with a better name. or `group(x, y, z, .drop = FALSE)`, or only use Wilkinson-Rogers syntax\\r\\n- `rolling(2)` for rolling summaries\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6525\", #>     \"id\": 1434886487, #>     \"node_id\": \"I_kwDOAGIUpc5VhqFX\", #>     \"number\": 6525, #>     \"title\": \"Avoid materialization of row names\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/krlmlr\", #>       \"html_url\": \"https://github.com/krlmlr\", #>       \"followers_url\": \"https://api.github.com/users/krlmlr/followers\", #>       \"following_url\": \"https://api.github.com/users/krlmlr/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/krlmlr/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 11, #>     \"created_at\": \"2022-11-03T15:48:37Z\", #>     \"updated_at\": \"2022-11-12T14:34:58Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"For duckdb, it is crucial that the row names are materialized only when really accessing the data. Currently, this happens in at least two undesired places. We can work around for now, but eventually this should be fixed.\\r\\n\\r\\nThe relational package implements a data frame wrapper that shows messages when data access is triggered. Eventually, this will be on CRAN so that we can use it in tests.\\r\\n\\r\\nCC @hannes.\\r\\n\\r\\n``` r\\r\\n# remotes::install_github(“duckdblabs/relational”)\\r\\n\\r\\ndf <- data.frame(a = 1:3)\\r\\n\\r\\ndf1 <- relational::wrap_df(df)\\r\\n#> 1\\r\\n#> 2\\r\\ndplyr:::dplyr_new_data_frame(df1)\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] NA -3\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] 1 2 3\\r\\n#>   a\\r\\n#> 1 1\\r\\n#> 2 2\\r\\n#> 3 3\\r\\n\\r\\ndf2 <- relational::wrap_df(df)\\r\\n#> 1\\r\\n#> 2\\r\\ndplyr::dplyr_reconstruct(df2, df)\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] NA -3\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] 1 2 3\\r\\n#>   a\\r\\n#> 1 1\\r\\n#> 2 2\\r\\n#> 3 3\\r\\n```\\r\\n\\r\\n<sup>Created on 2022-11-03 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6497\", #>     \"id\": 1404643905, #>     \"node_id\": \"I_kwDOAGIUpc5TuSpB\", #>     \"number\": 6497, #>     \"title\": \"`nest_join()` upgrades\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1257707950, #>         \"node_id\": \"MDU6TGFiZWwxMjU3NzA3OTUw\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/tables%20%F0%9F%A7%AE\", #>         \"name\": \"tables 🧮\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"joins and set operations\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2022-10-11T13:28:26Z\", #>     \"updated_at\": \"2023-01-23T20:11:04Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"In some recent exploration of `nest_join()`, I've decided that it is lacking some features that would make it more powerful and generic. They are:\\r\\n\\r\\n- `nest = c(\\\"y\\\", \\\"x\\\", \\\"both\\\")`, an argument that would decide which inputs should be nested. Right now, we can only get the behavior of `nest = \\\"y\\\"`, but `nest = \\\"both\\\"` is particularly useful to replace something like this `left_join(group_nest(x, g), group_nest(y, g), by = g)`. It would interact with the `name = NULL` argument.\\r\\n  - `nest = \\\"y\\\"` or `nest = \\\"x\\\"`: `name = NULL` autonames based on the relevant input, otherwise can be a single string\\r\\n  - `nest = \\\"both\\\"`: `name = NULL` autonames based on both inputs, otherwise must be a character vector of length 2\\r\\n\\r\\n- `type = c(\\\"left\\\", \\\"right\\\", \\\"inner\\\", \\\"full\\\")`, an argument that describes which type of join you'd like to do. Right now, `nest_join()` really only does the semantics of a left-join (keep all rows from x, drop unmatched rows from y). I think it would be pretty nice to be able to do all types of joins.\\r\\n\\r\\n---\\r\\n\\r\\nContext is with ivs, where it is often useful to apply something like `iv_set_intersect()` between columns across multiple tables and _by key_. You need to be able to do `nest = \\\"both\\\"` to get two list-columns, and then you can apply `rowwise() %>% summarise(iv = iv_set_intersect(x$iv, y$iv))` to that to apply the function per key.\\r\\n\\r\\nThis is the general idea that I want to make easier\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nlibrary(ivs)\\r\\nlibrary(clock)\\r\\n\\r\\nneedles <- tibble(\\r\\n  g = c(1, 1, 1, 1, 2, 2, 2),\\r\\n  lower = date_build(2019, 1, c(1, 5, 10, 12, 2, 8, 9)),\\r\\n  upper = date_build(2019, 1, c(3, 7, 11, 14, 3, 11, 10))\\r\\n) %>%\\r\\n  mutate(range = iv(lower, upper), .keep = \\\"unused\\\")\\r\\n\\r\\nhaystack <- tibble(\\r\\n  g = c(1, 1, 1, 2, 2),\\r\\n  lower = date_build(2019, 1, c(2, 4, 12, 6, 14)),\\r\\n  upper = date_build(2019, 1, c(8, 11, 15, 9, 16))\\r\\n) %>%\\r\\n  mutate(range = iv(lower, upper), .keep = \\\"unused\\\")\\r\\n\\r\\nneedles\\r\\n#> # A tibble: 7 × 2\\r\\n#>       g                    range\\r\\n#>   <dbl>               <iv<date>>\\r\\n#> 1     1 [2019-01-01, 2019-01-03)\\r\\n#> 2     1 [2019-01-05, 2019-01-07)\\r\\n#> 3     1 [2019-01-10, 2019-01-11)\\r\\n#> 4     1 [2019-01-12, 2019-01-14)\\r\\n#> 5     2 [2019-01-02, 2019-01-03)\\r\\n#> 6     2 [2019-01-08, 2019-01-11)\\r\\n#> 7     2 [2019-01-09, 2019-01-10)\\r\\nhaystack\\r\\n#> # A tibble: 5 × 2\\r\\n#>       g                    range\\r\\n#>   <dbl>               <iv<date>>\\r\\n#> 1     1 [2019-01-02, 2019-01-08)\\r\\n#> 2     1 [2019-01-04, 2019-01-11)\\r\\n#> 3     1 [2019-01-12, 2019-01-15)\\r\\n#> 4     2 [2019-01-06, 2019-01-09)\\r\\n#> 5     2 [2019-01-14, 2019-01-16)\\r\\n\\r\\nnested_needles <- needles %>%\\r\\n  group_by(g) %>%\\r\\n  group_nest(.key = \\\"needles\\\")\\r\\n\\r\\nnested_haystack <- haystack %>%\\r\\n  group_by(g) %>%\\r\\n  group_nest(.key = \\\"haystack\\\")\\r\\n\\r\\nnested_needles\\r\\n#> # A tibble: 2 × 2\\r\\n#>       g            needles\\r\\n#>   <dbl> <list<tibble[,1]>>\\r\\n#> 1     1            [4 × 1]\\r\\n#> 2     2            [3 × 1]\\r\\nnested_haystack\\r\\n#> # A tibble: 2 × 2\\r\\n#>       g           haystack\\r\\n#>   <dbl> <list<tibble[,1]>>\\r\\n#> 1     1            [3 × 1]\\r\\n#> 2     2            [2 × 1]\\r\\n\\r\\nleft_join(nested_needles, nested_haystack, by = join_by(g)) %>%\\r\\n  rowwise(g) %>%\\r\\n  summarise(range = iv_intersect(needles$range, haystack$range), .groups = \\\"drop\\\")\\r\\n#> # A tibble: 5 × 2\\r\\n#>       g                    range\\r\\n#>   <dbl>               <iv<date>>\\r\\n#> 1     1 [2019-01-02, 2019-01-03)\\r\\n#> 2     1 [2019-01-05, 2019-01-07)\\r\\n#> 3     1 [2019-01-10, 2019-01-11)\\r\\n#> 4     1 [2019-01-12, 2019-01-14)\\r\\n#> 5     2 [2019-01-08, 2019-01-09)\\r\\n```\\r\\n\\r\\n<sup>Created on 2022-10-11 with [reprex v2.0.2.9000](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>      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arguments?\", #>     \"user\": { #>       \"login\": \"hadley\", #>       \"id\": 4196, #>       \"node_id\": \"MDQ6VXNlcjQxOTY=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4196?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/hadley\", #>       \"html_url\": \"https://github.com/hadley\", #>       \"followers_url\": \"https://api.github.com/users/hadley/followers\", #>       \"following_url\": \"https://api.github.com/users/hadley/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/hadley/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/hadley/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/hadley/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/hadley/orgs\", #>       \"repos_url\": \"https://api.github.com/users/hadley/repos\", #>       \"events_url\": 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  \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2022-09-01T14:26:28Z\", #>     \"updated_at\": \"2022-09-01T21:42:12Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"To match `mutate()`\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6446/reactions\", #>       \"total_count\": 3, #>       \"+1\": 3, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6446/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6435\", #>     \"repository_url\": 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iteration of this request was [closed and locked as old](https://github.com/tidyverse/dplyr/issues/2183), but the asserted rationale does not address the request. It would be very useful if the `dplyr` mutating join functions allowed for an option to create a variable indicating which observations were joined (or not) from each data frame. This is a feature available in Stata's `merge` command and in Pandas (`indicator = True`). It has been implemented in R through the `statar` package, but it would be great to have it included in the `dplyr` mutating join functions. \\r\\n\\r\\nThe purported rationale for closing the earlier iteration of this feature request was that `tidylog` has solved the problem. The `tidylog` package is great, but it doesn't add any variables to the merged data frame, which was the initial feature request. \\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6435/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6435/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6404\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6404/labels{/name}\", #>     \"comments_url\": 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\"2022-04-30T15:42:45Z\", #>     \"updated_at\": \"2022-08-28T01:55:53Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6252\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6252\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6252.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6252.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Needs https://github.com/r-lib/pillar/pull/549.\\r\\n\\r\\nIn the example below, `speed`, `air_time` and `distance` are shown because they played a role in the `mutate()` . Normally none of these columns are visible.\\r\\n\\r\\nThe focus columns are highlighted with an underline, this formatting can't be shown in a reprex.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nnycflights13::flights %>%\\r\\n  mutate(speed = air_time / distance)\\r\\n#> # A tibble:      336,776 × 20\\r\\n#> # Focus columns: speed, air_time, distance\\r\\n#>     year month   day dep…¹ sch…² dep…³ arr…⁴ sch…⁵ arr…⁶ air_time distance speed\\r\\n#>    <int> <int> <int> <int> <int> <dbl> <int> <int> <dbl>    <dbl>    <dbl> <dbl>\\r\\n#>  1  2013     1     1   517   515     2   830   819    11      227     1400 0.162\\r\\n#>  2  2013     1     1   533   529     4   850   830    20      227     1416 0.160\\r\\n#>  3  2013     1     1   542   540     2   923   850    33      160     1089 0.147\\r\\n#>  4  2013     1     1   544   545    -1  1004  1022   -18      183     1576 0.116\\r\\n#>  5  2013     1     1   554   600    -6   812   837   -25      116      762 0.152\\r\\n#>  6  2013     1     1   554   558    -4   740   728    12      150      719 0.209\\r\\n#>  7  2013     1     1   555   600    -5   913   854    19      158     1065 0.148\\r\\n#>  8  2013     1     1   557   600    -3   709   723   -14       53      229 0.231\\r\\n#>  9  2013     1     1   557   600    -3   838   846    -8      140      944 0.148\\r\\n#> 10  2013     1     1   558   600    -2   753   745     8      138      733 0.188\\r\\n#> # … with 336,766 more rows, abbreviated variable names ¹​dep_time,\\r\\n#> #   ²​sched_dep_time, ³​dep_delay, ⁴​arr_time, ⁵​sched_arr_time, ⁶​arr_delay, and 8\\r\\n#> #   more variables: carrier <chr>, flight <int>, tailnum <chr>, origin <chr>,\\r\\n#> #   dest <chr>, hour <dbl>, minute <dbl>, time_hour <dttm>\\r\\n```\\r\\n\\r\\n<sup>Created on 2022-04-30 by the [reprex package](https://reprex.tidyverse.org) (v2.0.1)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6252/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6252/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   } #> ]  gh(\"/repos/{owner}/{repo}/issues\", owner = \"hadley\", repo = \"dplyr\") #> [ #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6853\", #>     \"id\": 1720956991, #>     \"node_id\": \"I_kwDOAGIUpc5mk7g_\", #>     \"number\": 6853, #>     \"title\": \"Possible regression re. use of glue in dplyr::across\", #>     \"user\": { #>       \"login\": \"jimjam-slam\", #>       \"id\": 6520659, #>       \"node_id\": \"MDQ6VXNlcjY1MjA2NTk=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/6520659?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/jimjam-slam\", #>       \"html_url\": \"https://github.com/jimjam-slam\", #>       \"followers_url\": \"https://api.github.com/users/jimjam-slam/followers\", #>       \"following_url\": \"https://api.github.com/users/jimjam-slam/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/jimjam-slam/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/jimjam-slam/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/jimjam-slam/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/jimjam-slam/orgs\", #>       \"repos_url\": \"https://api.github.com/users/jimjam-slam/repos\", #>       \"events_url\": \"https://api.github.com/users/jimjam-slam/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/jimjam-slam/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-05-23T01:07:16Z\", #>     \"updated_at\": \"2023-05-23T01:07:16Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"body\": \"This is discussed in https://twitter.com/mjskay/status/1660770865087148032\\r\\n\\r\\nEssentially, users are reporting errors when using `glue` inside an anonymous function given to `dplyr::across()`. This error did not previously exist.\\r\\n\\r\\nOn [my setup](https://twitter.com/jimjam_slam/status/1659392114994839553?s=20), with R 4.2.2 on macOS, and with dplyr 1.0.10 and glue 1.6.2, the following works to modify two columns:\\r\\n\\r\\n```r\\r\\nlibrary(dplyr)\\r\\nlibrary(glue)\\r\\nmtcars |> mutate(across(c(mpg, cyl), \\\\(x) glue(\\\"Oh hai {x}\\\")))\\r\\n```\\r\\n\\r\\n![image](https://github.com/tidyverse/glue/assets/6520659/2843bd11-13a7-408a-b100-1769c79529d9)\\r\\n\\r\\nBut [Matthew Kay reports](https://twitter.com/mjskay/status/1659381134273150977?s=20) that they get an error, unless they add dots to the anonymous function or save it to a variable before passing it to `across`:\\r\\n\\r\\n![image](https://github.com/tidyverse/dplyr/assets/6520659/f33ce5ec-a5f5-4cb9-bf2e-94e049bcba39)\\r\\n\\r\\n[Cameron Patrick](https://twitter.com/camjpatrick/status/1659376009375027200?s=20) also gets an error on R 4.2.3 for Windows with dplyr 1.1.1 and glue 1.6.2 (the same version of glue as me). They get this using the purrr anonymous function syntax:\\r\\n\\r\\n![image](https://github.com/tidyverse/dplyr/assets/6520659/83c6b1c8-65d2-4b76-9801-ff93273e077c)\\r\\n\\r\\n\\r\\nI'm not sure whether this is a problem with glue, dplyr or an interaction between the two, but as the version of glue between my successful reprex and Cameron's unsuccessful one isn't changed, I've chosen to file here.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6853/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6852\", #>     \"id\": 1715670438, #>     \"node_id\": \"I_kwDOAGIUpc5mQw2m\", #>     \"number\": 6852, #>     \"title\": \"Improve error message for joining ordered factors?\", #>     \"user\": { #>       \"login\": \"gklarenberg\", #>       \"id\": 12190691, #>       \"node_id\": \"MDQ6VXNlcjEyMTkwNjkx\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/12190691?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/gklarenberg\", #>       \"html_url\": \"https://github.com/gklarenberg\", #>       \"followers_url\": \"https://api.github.com/users/gklarenberg/followers\", #>       \"following_url\": \"https://api.github.com/users/gklarenberg/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/gklarenberg/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/gklarenberg/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/gklarenberg/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/gklarenberg/orgs\", #>       \"repos_url\": \"https://api.github.com/users/gklarenberg/repos\", #>       \"events_url\": \"https://api.github.com/users/gklarenberg/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/gklarenberg/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-05-18T13:47:28Z\", #>     \"updated_at\": \"2023-05-18T13:47:28Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Would it be possible to improve the error message that is displayed when one is trying to join ordered factors (ordinal data) with different levels?\\r\\n\\r\\n```r\\r\\n> df1 <- data.frame(D.1 = c(1,3,4,2,5),\\r\\n+                  D.2 = factor(c(4,5,3,1,2), ordered = TRUE),\\r\\n+                  F.4 = c(5,4,3,2,1))\\r\\n> df1$D.2\\r\\n[1] 4 5 3 1 2\\r\\nLevels: 1 < 2 < 3 < 4 < 5\\r\\n> \\r\\n> df2 <- data.frame(D.1 = c(6,2,3,4,1),\\r\\n+                   D.2 = factor(c(NA,3,3,5,1), \\r\\n+                                exclude = NULL,\\r\\n+                                ordered = TRUE,\\r\\n+                                levels = c(1,2,3,4,5,NA)))\\r\\n> df2$D.2\\r\\n[1] <NA> 3    3    5    1   \\r\\nLevels: 1 < 2 < 3 < 4 < 5 < <NA>\\r\\n> \\r\\n> df3 <- full_join(df1, df2)\\r\\nJoining with `by = join_by(D.1, D.2)`\\r\\nError in `full_join()`:\\r\\n! Can't join `x$D.2` with `y$D.2` due to incompatible types.\\r\\nℹ `x$D.2` is a <ordered<cd34a>>.\\r\\nℹ `y$D.2` is a <ordered<88c4b>>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n```\\r\\nGranted - I am not sure how common this is, but I ran into it when trying to join survey data (obtained with the `qualtRics` package by @juliasilge), where `NA` was added to the levels (when participants skip a question). The error message was really difficult to decipher (\\\"incompatible types\\\", just \\\"types\\\"?), I could not find anything online. Only when I started making a reprex for a `qualtRics` issue, I realized what the problem was.\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6852/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6848\", #>     \"id\": 1708211113, #>     \"node_id\": \"I_kwDOAGIUpc5l0Tup\", #>     \"number\": 6848, #>     \"title\": \"slice_sample() uses statistically incorrect sampling algorithms\", #>     \"user\": { #>       \"login\": \"skolenik\", #>       \"id\": 20828835, #>       \"node_id\": \"MDQ6VXNlcjIwODI4ODM1\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/20828835?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/skolenik\", #>       \"html_url\": \"https://github.com/skolenik\", #>       \"followers_url\": \"https://api.github.com/users/skolenik/followers\", #>       \"following_url\": \"https://api.github.com/users/skolenik/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/skolenik/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/skolenik/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/skolenik/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/skolenik/orgs\", #>       \"repos_url\": \"https://api.github.com/users/skolenik/repos\", #>       \"events_url\": \"https://api.github.com/users/skolenik/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/skolenik/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-05-12T21:05:01Z\", #>     \"updated_at\": \"2023-05-15T14:33:56Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"`slice_sample()` relies on `base::sample.int()` which in turn relies on incorrect sampling algorithms. The difficulty of obtaining appropriate unequal probability samples is obscure and is not known outside of survey statistics. I don't want to go into base R code although they have to fix that, too (somewhat more surprising given that Thomas Lumley, one of the core R people, is a survey statistician, at least part time). The appropriate algorithms are implemented in `sampling::UPmaxentropy()`.\\r\\n\\r\\n```r\\r\\n# example from Tille (2006)\\r\\nset.seed(25)\\r\\nuneq_p = c(0.07,0.17,0.41,0.61,0.83,0.91)\\r\\nsim_uneq_p <- as.data.frame(matrix(rep(0,6*20000),ncol=6))\\r\\nfor (k in 1:nrow(sim_uneq_p)) {\\r\\n  this <- sample.int(n=length(uneq_p),size=sum(uneq_p),prob=uneq_p)\\r\\n  sim_uneq_p[k,this] <- 1\\r\\n}\\r\\ncolSums(sim_uneq_p)/nrow(sim_uneq_p)\\r\\nuneq_p\\r\\n# done right\\r\\nsim_uneq_p_done_right <- as.data.frame(matrix(rep(0,6*20000),ncol=6))\\r\\nfor (k in 1:nrow(sim_uneq_p_done_right)) {\\r\\n   sim_uneq_p_done_right[k,] <- sampling::UPmaxentropy(uneq_p)\\r\\n}\\r\\ncolSums(sim_uneq_p_done_right)/nrow(sim_uneq_p_done_right)\\r\\nuneq_p\\r\\n```\\r\\n\\r\\n@krlmlr @DavisVaughan \\r\\n\\r\\nCode in `sampling` is (kinda) ugly, and the development most likely does not satisfy the `tidyverse` standards. I don't know if you want to rely on this as a dependency. Relevant parts may need to be taken over and internalized. (I have written the unequal probability sampling code from scratch in Stata, so I am closely familiar with the methodology and what it takes to code it.)\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6848/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6840\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6840/labels{/name}\", #>     \"comments_url\": 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{ #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6840\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6840\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6840.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6840.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Correct the capitalization of Beru's last name from \\\"lars\\\" to \\\"Lars\\\".\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6840/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6840/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": 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[], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2023-05-03T11:39:37Z\", #>     \"updated_at\": \"2023-05-03T12:24:53Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"It seems that a performance regression has been introduced for `dplyr::rowwise()` in `{dplyr}` version 1.1.0.\\r\\n\\r\\nI give some reprexes below illustrating large differences in execution time when using this on v1.1 compared to v1.0.10.\\r\\n * A: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\\r\\n * B: The same example is much slower in v1.1.0: **51.5 seconds**.\\r\\n   * B2: Execution time of a function called `test_code_without_rowwise`, which is modified not to use `dplyr::rowwise()` doesn't suffer these slowdowns: **0.337 seconds**.\\r\\n * C: Execution of the function `test_code`, which uses `dplyr::rowwise()`, is a similar duration in v1.1.1: **52.2 seconds**.\\r\\n\\r\\nThese seem to indicate that usage in `dplyr::rowwise` in v1.1.0+ is much slower than previous versions.\\r\\n\\r\\n*Note that we are using collapsable sections to improve readability of the code below. The functions in the collapsable sections are part of the reprexes.*\\r\\n\\r\\nA: Using `dplyr::rowwise()` in v1.0.10\\r\\n---\\r\\nExecution of the function `test_code`, which uses `dplyr::rowwise()`, is fast in v1.0.10: **1.86 seconds**.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>**Click to show definitions of functions which are part of this reprex**<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n```r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.0.10\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.0.10 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 1.861705 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\\r\\nB: Using `dplyr::rowwise()` in v1.1.0\\r\\n---\\r\\nThe same example is much slower in v1.1.0: **51.5 seconds**.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>Same functions as defined above are part of this reprex (Click to show)<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n```r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.1.0\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 51.51825 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n### B2: Avoiding use of `dplyr::rowwise()` in v1.1.0\\r\\n\\r\\nThis time difference doesn't appear in v1.1.0 when `dplyr::rowwise()` isn't used, indicating that `rowwise()` is what's causing the slowdown.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>Same functions as above are included in this reprex, apart from `test_code` is replaced with `test_code_without_rowwise`<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code_without_rowwise = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    # rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code_without_rowwise()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n```r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.1.0\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.1.0 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 0.3373294 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\\r\\nC: Using `dplyr::rowwise()` in v1.1.1\\r\\n---\\r\\nExecution of the same function `test_code` is a similar duration in v1.1.1: **52.2 seconds**.\\r\\n\\r\\nNote that the timer starts after the package is installed.\\r\\n\\r\\n<details>\\r\\n<summary>Same functions as defined above are part of this reprex (Click to show)<\\/summary>\\r\\n\\r\\n``` r\\r\\ntest_code = function() {\\r\\n  print(\\\"Now starting test...\\\")\\r\\n  library(dplyr)\\r\\n  library(magrittr)\\r\\n  \\r\\n  data.frame(count = 1:3000,\\r\\n             test_col = rep(c(\\\"a\\\", \\\"b\\\", \\\"c\\\", each = 1000))) %>%\\r\\n    rowwise() %>%\\r\\n    mutate(\\r\\n      col1 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col2 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col3 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col4 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col5 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      ),\\r\\n      col6 = recode(\\r\\n        test_col,\\r\\n        \\\"a\\\" = \\\"cat1\\\",\\r\\n        \\\"b\\\" = \\\"cat2\\\",\\r\\n        \\\"v\\\" = \\\"cat3\\\"\\r\\n      )\\r\\n    )\\r\\n  print(\\\"Finished test\\\")\\r\\n}\\r\\n\\r\\nbenchmark_dplyr_version_install_from_source = function(dplyr_version_str) {\\r\\n  print(\\\"Installing dplyr (test hasn't started yet)\\\")\\r\\n  unloadNamespace(\\\"dplyr\\\")\\r\\n  package = glue::glue(\\\"https://cran.r-project.org/package=dplyr&version={dplyr_version_str}\\\")\\r\\n  suppressMessages(suppressWarnings(utils::install.packages(pkgs = package, repos = NULL)))\\r\\n  stopifnot(packageVersion(\\\"dplyr\\\") == dplyr_version_str)\\r\\n  \\r\\n  start <- Sys.time()\\r\\n  test_code()\\r\\n  print(\\r\\n    glue::glue(\\r\\n      \\\"The time taken for dplyr version {dplyr_version_str} INSTALLED FROM SOURCE is: \\\"\\r\\n    )\\r\\n  )\\r\\n  print(Sys.time() - start)\\r\\n}\\r\\n```\\r\\n\\r\\n<\\/details>\\r\\n\\r\\n``` r\\r\\nbenchmark_dplyr_version_install_from_source(\\\"1.1.1\\\")\\r\\n#> [1] \\\"Installing dplyr (test hasn't started yet)\\\"\\r\\n#> [1] \\\"Now starting test...\\\"\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n#> [1] \\\"Finished test\\\"\\r\\n#> The time taken for dplyr version 1.1.1 INSTALLED FROM SOURCE is: \\r\\n#> Time difference of 52.21882 secs\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-01 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6839/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6839/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6838\", #>     \"id\": 1691849841, #>     \"node_id\": \"I_kwDOAGIUpc5k15Rx\", #>     \"number\": 6838, #>     \"title\": \"Unhelpful error message when using `dplyr::between()` in `join_by()`\", #>     \"user\": { #>       \"login\": \"mgirlich\", #>       \"id\": 18258854, #>       \"node_id\": \"MDQ6VXNlcjE4MjU4ODU0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18258854?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mgirlich\", #>       \"html_url\": \"https://github.com/mgirlich\", #>       \"followers_url\": \"https://api.github.com/users/mgirlich/followers\", #>       \"following_url\": \"https://api.github.com/users/mgirlich/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mgirlich/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mgirlich/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mgirlich/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mgirlich/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mgirlich/repos\", #>       \"events_url\": \"https://api.github.com/users/mgirlich/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mgirlich/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 2, #>     \"created_at\": \"2023-05-02T06:27:40Z\", #>     \"updated_at\": \"2023-05-02T14:01:49Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I accidentally used `dplyr::between()` instead of `between()` in `join_by()`. Not sure whether you want to accept it with a namespace or not but the error message isn't very helpful.\\r\\n\\r\\n``` r\\r\\ndplyr::join_by(dplyr::between(y, a, b))\\r\\n#> Error in `as_string()`:\\r\\n#> ! Can't convert a call to a string.\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. └─dplyr::join_by(dplyr::between(y, a, b))\\r\\n#>  2.   └─dplyr:::parse_join_by_expr(exprs[[i]], i, error_call = error_call)\\r\\n#>  3.     └─rlang::as_string(expr[[1]])\\r\\n#>  4.       └─rlang:::abort_coercion(x, \\\"a string\\\")\\r\\n#>  5.         └─rlang::abort(msg, call = call)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-05-02 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6838/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6833\", #>     \"id\": 1681906499, #>     \"node_id\": \"I_kwDOAGIUpc5kP9tD\", #>     \"number\": 6833, #>     \"title\": \"`coalesce()` silently coerces `NaN` to `NA`\", #>     \"user\": { #>       \"login\": \"thisisnic\", #>       \"id\": 13715823, #>       \"node_id\": \"MDQ6VXNlcjEzNzE1ODIz\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/13715823?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/thisisnic\", #>       \"html_url\": \"https://github.com/thisisnic\", #>       \"followers_url\": \"https://api.github.com/users/thisisnic/followers\", #>       \"following_url\": \"https://api.github.com/users/thisisnic/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/thisisnic/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/thisisnic/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/thisisnic/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/thisisnic/orgs\", #>       \"repos_url\": \"https://api.github.com/users/thisisnic/repos\", #>       \"events_url\": \"https://api.github.com/users/thisisnic/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/thisisnic/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-04-24T19:40:44Z\", #>     \"updated_at\": \"2023-04-24T19:42:30Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I was fixing [some Arrow test failures](https://github.com/apache/arrow/issues/35131) which are the result of the dev version of waldo correctly distinguishing between `NA_real_` and `NaN`, and came across this behaviour where `NaN` values are silently coerced by `dplyr::coalesce()` into `NA`s.  \\r\\n\\r\\nI'm unsure if this is a bug or just a difference in implementations/interpretations, but the second row in the `cwx` column in the example below is making me think it could be a bug?\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nlibrary(arrow)\\r\\n\\r\\ndf <- tibble(\\r\\n  w = c(NaN, NaN, NA_real_),\\r\\n  x = c(NA_real_, NaN, 3.3),\\r\\n  y = c(NA_real_, 2.2, 3.3),\\r\\n  z = c(1.1, 2.2, 3.3)\\r\\n)\\r\\n\\r\\ndf %>%\\r\\n  mutate(\\r\\n    cw = coalesce(w),\\r\\n    cz = coalesce(z),\\r\\n    cwx = coalesce(w, x),\\r\\n    cwxy = coalesce(w, x, y),\\r\\n    cwxyz = coalesce(w, x, y, z)\\r\\n  )\\r\\n#> # A tibble: 3 × 9\\r\\n#>       w     x     y     z    cw    cz   cwx  cwxy cwxyz\\r\\n#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#> 1   NaN  NA    NA     1.1    NA   1.1  NA    NA     1.1\\r\\n#> 2   NaN NaN     2.2   2.2    NA   2.2  NA     2.2   2.2\\r\\n#> 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\\r\\n\\r\\ndf %>%\\r\\n  arrow_table() %>%\\r\\n  mutate(\\r\\n    cw = coalesce(w),\\r\\n    cz = coalesce(z),\\r\\n    cwx = coalesce(w, x),\\r\\n    cwxy = coalesce(w, x, y),\\r\\n    cwxyz = coalesce(w, x, y, z)\\r\\n  ) %>%\\r\\n  collect()\\r\\n#> # A tibble: 3 × 9\\r\\n#>       w     x     y     z    cw    cz   cwx  cwxy cwxyz\\r\\n#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#> 1   NaN  NA    NA     1.1   NaN   1.1  NA    NA     1.1\\r\\n#> 2   NaN NaN     2.2   2.2   NaN   2.2 NaN     2.2   2.2\\r\\n#> 3    NA   3.3   3.3   3.3    NA   3.3   3.3   3.3   3.3\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-04-24 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6833/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6822\", #>     \"id\": 1666351494, #>     \"node_id\": \"I_kwDOAGIUpc5jUoGG\", #>     \"number\": 6822, #>     \"title\": \"Consider allowing `.env$` in `join_by()`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-04-13T12:45:15Z\", #>     \"updated_at\": \"2023-04-13T13:06:14Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Motivated by https://github.com/tidyverse/dplyr/issues/6821\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf1 <- tibble(\\r\\n  X1 = c(\\\"chr1\\\", \\\"chr2\\\"),\\r\\n  a = c(1, 2)\\r\\n)\\r\\n\\r\\ndf2 <- tibble(\\r\\n  X2 = c(\\\"chr2\\\", \\\"chr3\\\"),\\r\\n  b = c(3, 4)\\r\\n)\\r\\n\\r\\nby.1 <- \\\"X1\\\"\\r\\nby.2 <- \\\"X2\\\"\\r\\n\\r\\n# The \\\"old\\\" way\\r\\n# inner_join(df1, df2, by = setNames(by.2, by.1))\\r\\n\\r\\n# This works but we don't typically encourage using `!!` in high level APIs\\r\\ninner_join(df1, df2, by = join_by(!!by.1 == !!by.2))\\r\\n#> # A tibble: 1 × 3\\r\\n#>   X1        a     b\\r\\n#>   <chr> <dbl> <dbl>\\r\\n#> 1 chr2      2     3\\r\\n \\r\\n# It might be nice to be able to do this, but it currently errors\\r\\ninner_join(df1, df2, by = join_by(.env$by.1 == .env$by.2))\\r\\n#> Error in `join_by()`:\\r\\n#> ! The left-hand side of a `$` expression must be either `x$` or `y$`.\\r\\n#> ℹ Expression 1 contains `.env$by.1`.\\r\\n```\\r\\n\\r\\nSome notes from talking with @lionel-:\\r\\n- We have an equivalent-ish to `.data$` already with `x$` and `y$`. They don't have a `.` prefix because I attempted to match the original argument names\\r\\n- So it seems like we are missing an equivalent to the `.env$` pronoun, and we may as well call it `.env$` here too\\r\\n- It would look up in the `caller_env()` of `join_by()`, and I don't think `join_by()` would get an `env = caller_env()` argument to \\\"pass the env through\\\" unlike what is done in `glue()`.\\r\\n- It would look up using `inherits = TRUE`, because it seems like tidy eval does this too, and we generally think that makes sense\\r\\n- It would require the result to be a single string, or die trying. i.e. you can only use this to inject a single name from the environment, not to inject an entire expression\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6822/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6817\", #>     \"id\": 1658192233, #>     \"node_id\": \"PR_kwDOAGIUpc5Nzt-8\", #>     \"number\": 6817, #>     \"title\": \"replace as_tibble with new_tibble in ungroup()\", #>     \"user\": { #>       \"login\": \"mkoohafkan\", #>       \"id\": 4790348, #>       \"node_id\": \"MDQ6VXNlcjQ3OTAzNDg=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4790348?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mkoohafkan\", #>       \"html_url\": \"https://github.com/mkoohafkan\", #>       \"followers_url\": \"https://api.github.com/users/mkoohafkan/followers\", #>       \"following_url\": \"https://api.github.com/users/mkoohafkan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mkoohafkan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mkoohafkan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mkoohafkan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mkoohafkan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mkoohafkan/repos\", #>       \"events_url\": \"https://api.github.com/users/mkoohafkan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mkoohafkan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-04-07T00:16:16Z\", #>     \"updated_at\": \"2023-04-07T04:56:49Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6817\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6817\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6817.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6817.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Make `ungroup()` handle attributes in a way that is consistent with other `dplyr` functions by using `new_tibble()` instead of `as_tibble()`.\\r\\n\\r\\nThis is also future-proof if it is later decided that `new_tibble()` should drop attributes.\\r\\n\\r\\nFixes https://github.com/tidyverse/dplyr/issues/6774 without affecting discussion in https://github.com/tidyverse/tibble/pull/769\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6817/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6809\", #>     \"repository_url\": 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\"https://api.github.com/users/eipi10/followers\", #>       \"following_url\": \"https://api.github.com/users/eipi10/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/eipi10/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/eipi10/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/eipi10/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/eipi10/orgs\", #>       \"repos_url\": \"https://api.github.com/users/eipi10/repos\", #>       \"events_url\": \"https://api.github.com/users/eipi10/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/eipi10/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 11, #>     \"created_at\": \"2023-03-27T18:26:04Z\", #>     \"updated_at\": \"2023-04-07T22:20:48Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I have a summarizing function that's similar to the function below. It allows the user to pass grouping variables, summary variables and any number of summary functions as arguments. \\r\\n\\r\\n```\\r\\n# Allow user to choose summary function(s)\\r\\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\\r\\n  data %>% \\r\\n    group_by(across({{group.vars}})) %>% \\r\\n    summarise(n=n(), across({{summary.vars}}, \\r\\n                            .fn=FUNS,\\r\\n                            .names=\\\"{.col}_{.fn}\\\"))\\r\\n}\\r\\n```\\r\\n\\r\\nI often use `weighted.mean` as a summary function in the `FUNS` argument, which requires a weighting variable, which I pass with the bare column name, like this:\\r\\n\\r\\n```\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am), \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE), \\r\\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\\r\\n``` \\r\\n\\r\\nThis approach worked in `dplyr 1.0.10` and previous versions, but is failing in `dplyr 1.1.1`. Reproducible examples are below, first with 1.0.10 then with 1.1.1. \\r\\n\\r\\nHow can I update my function so that it will work properly with `dplyr 1.1.1`? I've never been happy with hard-coding the `w` argument anyway. Is there some tidyeval way that I should be passing the `w` argument into the summary function?\\r\\n\\r\\n### Example with `dplyr 1.0.10`\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n\\r\\n# Allow user to choose summary function(s)\\r\\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\\r\\n  data %>% \\r\\n    group_by(across({{group.vars}})) %>% \\r\\n    summarise(n=n(), across({{summary.vars}}, \\r\\n                            .fn=FUNS,\\r\\n                            .names=\\\"{.col}_{.fn}\\\"))\\r\\n}\\r\\n\\r\\n# These work in both 1.0.10 and 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp))\\r\\n#> # A tibble: 1 × 3\\r\\n#>       n mpg_mean hp_mean\\r\\n#>   <int>    <dbl>   <dbl>\\r\\n#> 1    32     20.1    147.\\r\\n\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am))\\r\\n#> `summarise()` has grouped output by 'vs'. You can override using the `.groups`\\r\\n#> argument.\\r\\n#> # A tibble: 4 × 5\\r\\n#> # Groups:   vs [2]\\r\\n#>      vs    am     n mpg_mean hp_mean\\r\\n#>   <dbl> <dbl> <int>    <dbl>   <dbl>\\r\\n#> 1     0     0    12     15.0   194. \\r\\n#> 2     0     1     6     19.8   181. \\r\\n#> 3     1     0     7     20.7   102. \\r\\n#> 4     1     1     7     28.4    80.6\\r\\n\\r\\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am), \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE), \\r\\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\\r\\n#> `summarise()` has grouped output by 'vs'. You can override using the `.groups`\\r\\n#> argument.\\r\\n#> # A tibble: 4 × 7\\r\\n#> # Groups:   vs [2]\\r\\n#>      vs    am     n mpg_mean mpg_mean.wted hp_mean hp_mean.wted\\r\\n#>   <dbl> <dbl> <int>    <dbl>         <dbl>   <dbl>        <dbl>\\r\\n#> 1     0     0    12     15.0          15.1   194.         194. \\r\\n#> 2     0     1     6     19.8          19.0   181.         198. \\r\\n#> 3     1     0     7     20.7          20.4   102.         105. \\r\\n#> 4     1     1     7     28.4          28.4    80.6         80.6\\r\\n\\r\\nsessionInfo()\\r\\n#> R version 4.2.2 (2022-10-31)\\r\\n#> Platform: aarch64-apple-darwin20 (64-bit)\\r\\n#> Running under: macOS Ventura 13.2.1\\r\\n#> \\r\\n#> Matrix products: default\\r\\n#> BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\\r\\n#> LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\\r\\n#> \\r\\n#> locale:\\r\\n#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\\r\\n#> \\r\\n#> attached base packages:\\r\\n#> [1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n#> \\r\\n#> other attached packages:\\r\\n#> [1] dplyr_1.0.10\\r\\n#> \\r\\n#> loaded via a namespace (and not attached):\\r\\n#>  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \\r\\n#>  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \\r\\n#>  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \\r\\n#> [13] R.oo_1.25.0       utf8_1.2.3        DBI_1.1.3         cli_3.6.1        \\r\\n#> [17] withr_2.5.0       htmltools_0.5.4   yaml_2.3.7        digest_0.6.31    \\r\\n#> [21] tibble_3.2.1      lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000 \\r\\n#> [25] R.utils_2.12.2    fs_1.6.1          glue_1.6.2        evaluate_0.20    \\r\\n#> [29] rmarkdown_2.20    reprex_2.0.2      compiler_4.2.2    pillar_1.8.1     \\r\\n#> [33] generics_0.1.3    R.methodsS3_1.8.2 pkgconfig_2.0.3\\r\\n```\\r\\n\\r\\n### Same example, but with `dplyr 1.1.1`\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n\\r\\n# Allow user to choose summary function(s)\\r\\nfnc = function(data, summary.vars=NULL, group.vars=NULL, \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE))) {\\r\\n  data %>% \\r\\n    group_by(across({{group.vars}})) %>% \\r\\n    summarise(n=n(), across({{summary.vars}}, \\r\\n                            .fn=FUNS,\\r\\n                            .names=\\\"{.col}_{.fn}\\\"))\\r\\n}\\r\\n\\r\\n# These work in both 1.0.10 and 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp))\\r\\n#> # A tibble: 1 × 3\\r\\n#>       n mpg_mean hp_mean\\r\\n#>   <int>    <dbl>   <dbl>\\r\\n#> 1    32     20.1    147.\\r\\n\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am))\\r\\n#> `summarise()` has grouped output by 'vs'. You can override using the `.groups`\\r\\n#> argument.\\r\\n#> # A tibble: 4 × 5\\r\\n#> # Groups:   vs [2]\\r\\n#>      vs    am     n mpg_mean hp_mean\\r\\n#>   <dbl> <dbl> <int>    <dbl>   <dbl>\\r\\n#> 1     0     0    12     15.0   194. \\r\\n#> 2     0     1     6     19.8   181. \\r\\n#> 3     1     0     7     20.7   102. \\r\\n#> 4     1     1     7     28.4    80.6\\r\\n\\r\\n# Passing a weighting variable as the w argument in weighted.mean works in dplyr 1.0.10 but fails in dplyr 1.1.1\\r\\nmtcars %>% fnc(c(mpg, hp), c(vs, am), \\r\\n               FUNS=c(mean=~mean(., na.rm=TRUE), \\r\\n                      mean.wted=~weighted.mean(., w=cyl, na.rm=TRUE)))\\r\\n#> Error in `summarise()`:\\r\\n#> ℹ In argument: `across(c(mpg, hp), .fn = FUNS, .names =\\r\\n#>   \\\"{.col}_{.fn}\\\")`.\\r\\n#> ℹ In group 1: `vs = 0`, `am = 0`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Can't compute column `mpg_mean.wted`.\\r\\n#> Caused by error in `weighted.mean.default()`:\\r\\n#> ! object 'cyl' not found\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─mtcars %>% ...\\r\\n#>   2. ├─global fnc(...)\\r\\n#>   3. │ └─data %>% group_by(across({{ group.vars }})) %>% ...\\r\\n#>   4. ├─dplyr::summarise(...)\\r\\n#>   5. ├─dplyr:::summarise.grouped_df(...)\\r\\n#>   6. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), by, \\\"summarise\\\")\\r\\n#>   7. │   ├─base::withCallingHandlers(...)\\r\\n#>   8. │   └─dplyr:::map(quosures, summarise_eval_one, mask = mask)\\r\\n#>   9. │     └─base::lapply(.x, .f, ...)\\r\\n#>  10. │       └─dplyr (local) FUN(X[[i]], ...)\\r\\n#>  11. │         ├─base::withCallingHandlers(...)\\r\\n#>  12. │         └─mask$eval_all_summarise(quo)\\r\\n#>  13. │           └─dplyr (local) eval()\\r\\n#>  14. ├─`<rlng_lm_>`(mpg)\\r\\n#>  15. │ ├─stats::weighted.mean(., w = cyl, na.rm = TRUE)\\r\\n#>  16. │ └─stats:::weighted.mean.default(., w = cyl, na.rm = TRUE)\\r\\n#>  17. └─base::.handleSimpleError(...)\\r\\n#>  18.   └─dplyr (local) h(simpleError(msg, call))\\r\\n#>  19.     └─rlang::abort(msg, call = call(\\\"across\\\"), parent = cnd)\\r\\n\\r\\nsessionInfo()\\r\\n#> R version 4.2.2 (2022-10-31)\\r\\n#> Platform: aarch64-apple-darwin20 (64-bit)\\r\\n#> Running under: macOS Ventura 13.2.1\\r\\n#> \\r\\n#> Matrix products: default\\r\\n#> BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib\\r\\n#> LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib\\r\\n#> \\r\\n#> locale:\\r\\n#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\\r\\n#> \\r\\n#> attached base packages:\\r\\n#> [1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n#> \\r\\n#> other attached packages:\\r\\n#> [1] dplyr_1.1.1\\r\\n#> \\r\\n#> loaded via a namespace (and not attached):\\r\\n#>  [1] rstudioapi_0.14   knitr_1.42        magrittr_2.0.3    tidyselect_1.2.0 \\r\\n#>  [5] R.cache_0.16.0    R6_2.5.1          rlang_1.1.0.9000  fastmap_1.1.1    \\r\\n#>  [9] fansi_1.0.4       styler_1.9.1      tools_4.2.2       xfun_0.37        \\r\\n#> [13] R.oo_1.25.0       utf8_1.2.3        cli_3.6.0         withr_2.5.0      \\r\\n#> [17] htmltools_0.5.4   yaml_2.3.7        digest_0.6.31     tibble_3.2.1     \\r\\n#> [21] lifecycle_1.0.3   purrr_1.0.1       vctrs_0.6.0.9000  R.utils_2.12.2   \\r\\n#> [25] fs_1.6.1          glue_1.6.2        evaluate_0.20     rmarkdown_2.20   \\r\\n#> [29] reprex_2.0.2      compiler_4.2.2    pillar_1.8.1      generics_0.1.3   \\r\\n#> [33] R.methodsS3_1.8.2 pkgconfig_2.0.3\\r\\n```\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6809/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6809/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6806\", #>     \"id\": 1637564725, #>     \"node_id\": \"I_kwDOAGIUpc5hm0E1\", #>     \"number\": 6806, #>     \"title\": \"`count()` and `add_count()` could be much faster\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-03-23T13:38:59Z\", #>     \"updated_at\": \"2023-03-23T13:44:59Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Right now these eventually just do `summarise(n = n())` or `mutate(n = n())` at some point, but that can be very slow with many groups. We already have `vec_count()`, which should be much much faster than `count()` with many groups. We could also add some kind of vctrs primitive that works like a windowed count for `add_count()`, or just build on top of `vec_count()`'s result plus an additional call to `vec_match()`.\\r\\n\\r\\nWe'd have to think through how weighted counts would work, maybe `vec_count()` needs support for a weight argument (a double vector).\\r\\n\\r\\nMotivation is something like this, and flights isn't even that big. Roughly 55k groups here.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nlibrary(nycflights13)\\r\\n\\r\\nbench::mark(\\r\\n  count(flights, dep_time, dep_delay),\\r\\n  vctrs::vec_count(flights[c(\\\"dep_time\\\", \\\"dep_delay\\\")]),\\r\\n  check = FALSE\\r\\n)\\r\\n#> Warning: Some expressions had a GC in every iteration; so filtering is\\r\\n#> disabled.\\r\\n#> # A tibble: 2 × 6\\r\\n#>   expression                                                 min  median itr/s…¹\\r\\n#>   <bch:expr>                                            <bch:tm> <bch:t>   <dbl>\\r\\n#> 1 count(flights, dep_time, dep_delay)                    419.6ms 441.4ms    2.27\\r\\n#> 2 vctrs::vec_count(flights[c(\\\"dep_time\\\", \\\"dep_delay\\\")])   17.3ms  21.5ms   42.7 \\r\\n#> # … with 2 more variables: mem_alloc <bch:byt>, `gc/sec` <dbl>, and abbreviated\\r\\n#> #   variable name ¹​`itr/sec`\\r\\n```\\r\\n\\r\\nAlso need to handle the fact that `...` and `wt` are data-masking, probably with `add_computed_columns()` like `distinct()`.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6806/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6802\", #>     \"id\": 1634653405, #>     \"node_id\": \"I_kwDOAGIUpc5hbtTd\", #>     \"number\": 6802, #>     \"title\": \"Reconsider re-exports from rlang\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-03-21T20:35:59Z\", #>     \"updated_at\": \"2023-03-21T20:36:19Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Can we start to un-export any of these https://github.com/tidyverse/dplyr/blob/main/R/utils-tidy-eval.R?\\r\\n\\r\\nAlso, should we un-export `.data`? It doesn't belong on that help page, as noted in https://github.com/tidyverse/dplyr/pull/6801. We also don't export `.env` from dplyr, but those two are very closely related, and right now you can do `?dplyr::.data` but not `?dplyr::.env`.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6802/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6795\", #>     \"id\": 1631415133, #>     \"node_id\": \"I_kwDOAGIUpc5hPWtd\", #>     \"number\": 6795, #>     \"title\": \"`filter()` error for matrices doesn't give hint per NEWS for 1.0.8\", #>     \"user\": { #>       \"login\": \"mine-cetinkaya-rundel\", #>       \"id\": 5965649, #>       \"node_id\": \"MDQ6VXNlcjU5NjU2NDk=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/5965649?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mine-cetinkaya-rundel\", #>       \"html_url\": \"https://github.com/mine-cetinkaya-rundel\", #>       \"followers_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/followers\", #>       \"following_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/repos\", #>       \"events_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mine-cetinkaya-rundel/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 5, #>     \"created_at\": \"2023-03-20T05:31:15Z\", #>     \"updated_at\": \"2023-03-20T20:09:57Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Between 1.0.7 and 1.1.0 `filter()` stopped taking matrices, per #5973. [NEWS for dplyr 1.0.8](https://github.com/tidyverse/dplyr/blob/main/NEWS.md#dplyr-108) reflects this change, but it also says there should be an informative message:\\r\\n\\r\\n> - `filter()` forbids matrix results (#5973) and warns about data frame results, especially data frames created from `across()` with a hint to use `if_any()` or `if_all()`.\\r\\n\\r\\nSee reprex below:\\r\\n\\r\\nGoal: Drop rows where _all_ columns other than `id` are `NA`s.\\r\\n\\r\\n```r\\r\\n# create df ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\\r\\n\\r\\nlibrary(tibble)\\r\\n\\r\\ndf <- tribble(\\r\\n  ~id, ~x,  ~y,\\r\\n  1,   NA, \\\"a\\\",\\r\\n  2,  \\\"b\\\",  NA,\\r\\n  3,   NA,  NA,\\r\\n  4,  \\\"c\\\", \\\"d\\\",\\r\\n)\\r\\n\\r\\n# new dplyr - 1.1.0 ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\\r\\n\\r\\nsuppressMessages(library(dplyr))\\r\\npackageVersion(\\\"dplyr\\\")\\r\\n#> [1] '1.1.0'\\r\\n\\r\\n# works\\r\\ndf |>\\r\\n  filter(if_any(!id, ~!is.na(.)))\\r\\n#> # A tibble: 3 × 3\\r\\n#>      id x     y    \\r\\n#>   <dbl> <chr> <chr>\\r\\n#> 1     1 <NA>  a    \\r\\n#> 2     2 b     <NA> \\r\\n#> 3     4 c     d\\r\\n\\r\\n# doesn't work\\r\\ndf |>\\r\\n  filter(!across(-id, is.na))\\r\\n#> Error in `filter()`:\\r\\n#> ℹ In argument: `!across(-id, is.na)`.\\r\\n#> Caused by error:\\r\\n#> ! `..1` must be a logical vector, not a logical matrix.\\r\\n\\r\\n# old dplyr - 1.0.7 ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––\\r\\n\\r\\nunloadNamespace(\\\"dplyr\\\")\\r\\nnew_lib <- tempfile()\\r\\ndir.create(new_lib)\\r\\nwithr::with_libpaths(new = new_lib, remotes::install_version(\\\"dplyr\\\", \\\"1.0.7\\\"))\\r\\nsuppressMessages(library(dplyr, lib.loc = new_lib))\\r\\npackageVersion(\\\"dplyr\\\")\\r\\n#> [1] '1.0.7'\\r\\n\\r\\n# works\\r\\ndf |>\\r\\n  filter(if_any(!id, ~!is.na(.)))\\r\\n#> # A tibble: 3 × 3\\r\\n#>      id x     y    \\r\\n#>   <dbl> <chr> <chr>\\r\\n#> 1     1 <NA>  a    \\r\\n#> 2     2 b     <NA> \\r\\n#> 3     4 c     d\\r\\n\\r\\n# also works, but gives a different answer\\r\\ndf |>\\r\\n  filter(!across(-id, is.na))\\r\\n#> # A tibble: 2 × 3\\r\\n#>      id x     y    \\r\\n#>   <dbl> <chr> <chr>\\r\\n#> 1     2 b     <NA> \\r\\n#> 2     4 c     d\\r\\n\\r\\nunlink(new_lib, recursive = TRUE)\\r\\n```\\r\\n\\r\\nI believe, per the NEWS item, the message should be improved. I had a hard time deciphering the error given by 1.1.0 above, hence went the rabbit hole of trying to figure out what changed between the sessions.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6795/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6783\", #>     \"id\": 1615008309, #>     \"node_id\": \"I_kwDOAGIUpc5gQxI1\", #>     \"number\": 6783, #>     \"title\": \"`slice_max()` is quite slow for a big number of groups\", #>     \"user\": { #>       \"login\": \"mgirlich\", #>       \"id\": 18258854, #>       \"node_id\": \"MDQ6VXNlcjE4MjU4ODU0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18258854?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mgirlich\", #>       \"html_url\": \"https://github.com/mgirlich\", #>       \"followers_url\": \"https://api.github.com/users/mgirlich/followers\", #>       \"following_url\": \"https://api.github.com/users/mgirlich/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mgirlich/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mgirlich/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mgirlich/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mgirlich/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mgirlich/repos\", #>       \"events_url\": \"https://api.github.com/users/mgirlich/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mgirlich/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-03-08T10:09:01Z\", #>     \"updated_at\": \"2023-03-08T16:16:31Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"It has gotten better after installing the dev version of dplyr (before a lot of time was wasted in `arg_match()`). But it has still a big overhead.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\nset.seed(1)\\r\\nn <- 10e3\\r\\ndf <- tibble(\\r\\n  id = sample(n, n, replace = TRUE),\\r\\n  x = runif(n)\\r\\n)\\r\\n\\r\\nbench::mark(\\r\\n  slice_max = df |> \\r\\n    slice_max(x, n = 1, with_ties = FALSE, by = id),\\r\\n  arrange_slice = df |>\\r\\n    arrange(desc(x)) |> \\r\\n    slice(1, .by = id),\\r\\n  row_number = df |>\\r\\n    filter(row_number(x) == n(), .by = id),\\r\\n  # can't check because the order is different\\r\\n  check = FALSE\\r\\n)\\r\\n#> Warning: Some expressions had a GC in every iteration; so filtering is\\r\\n#> disabled.\\r\\n#> # A tibble: 3 × 6\\r\\n#>   expression         min   median `itr/sec` mem_alloc `gc/sec`\\r\\n#>   <bch:expr>    <bch:tm> <bch:tm>     <dbl> <bch:byt>    <dbl>\\r\\n#> 1 slice_max      803.7ms  803.7ms      1.24    7.57MB     23.6\\r\\n#> 2 arrange_slice  272.3ms  290.5ms      3.44    1.86MB     22.4\\r\\n#> 3 row_number      91.3ms   96.5ms     10.4     4.04MB     22.4\\r\\n\\r\\n# just make sure that the three approaches give the same results\\r\\na1 <- df |> \\r\\n  slice_max(x, n = 1, with_ties = FALSE, by = id) |> \\r\\n  arrange(id)\\r\\na2 <- df |>\\r\\n  arrange(desc(x)) |> \\r\\n  slice(1, .by = id) |> \\r\\n  arrange(id)\\r\\na3 <- df |>\\r\\n  filter(row_number(x) == n(), .by = id) |> \\r\\n  arrange(id)\\r\\n\\r\\nidentical(a1, a2)\\r\\n#> [1] TRUE\\r\\nidentical(a1, a3)\\r\\n#> [1] TRUE\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-03-08 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n<details style=\\\"margin-bottom:10px;\\\">\\r\\n<summary>\\r\\nSession info\\r\\n<\\/summary>\\r\\n\\r\\n``` r\\r\\nsessioninfo::session_info()\\r\\n#> ─ Session info ───────────────────────────────────────────────────────────────\\r\\n#>  setting  value\\r\\n#>  version  R version 4.2.0 (2022-04-22)\\r\\n#>  os       macOS Big Sur/Monterey 10.16\\r\\n#>  system   x86_64, darwin17.0\\r\\n#>  ui       X11\\r\\n#>  language (EN)\\r\\n#>  collate  en_US.UTF-8\\r\\n#>  ctype    en_US.UTF-8\\r\\n#>  tz       UTC\\r\\n#>  date     2023-03-08\\r\\n#>  pandoc   2.19.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)\\r\\n#> \\r\\n#> ─ Packages ───────────────────────────────────────────────────────────────────\\r\\n#>  package     * version    date (UTC) lib source\\r\\n#>  bench         1.1.2      2021-11-30 [1] CRAN (R 4.2.0)\\r\\n#>  cli           3.6.0      2023-01-09 [1] CRAN (R 4.2.0)\\r\\n#>  digest        0.6.31     2022-12-11 [1] CRAN (R 4.2.0)\\r\\n#>  dplyr       * 1.1.0.9000 2023-03-08 [1] Github (tidyverse/dplyr@2222d43)\\r\\n#>  evaluate      0.20       2023-01-17 [1] CRAN (R 4.2.0)\\r\\n#>  fansi         1.0.4      2023-01-22 [1] CRAN (R 4.2.0)\\r\\n#>  fastmap       1.1.1      2023-02-24 [1] CRAN (R 4.2.0)\\r\\n#>  fs            1.6.1      2023-02-06 [1] CRAN (R 4.2.0)\\r\\n#>  generics      0.1.3      2022-07-05 [1] CRAN (R 4.2.0)\\r\\n#>  glue          1.6.2      2022-02-24 [1] CRAN (R 4.2.0)\\r\\n#>  htmltools     0.5.4      2022-12-07 [1] CRAN (R 4.2.0)\\r\\n#>  knitr         1.42       2023-01-25 [1] CRAN (R 4.2.0)\\r\\n#>  lifecycle     1.0.3.9000 2022-10-10 [1] Github (r-lib/lifecycle@80a1e52)\\r\\n#>  magrittr      2.0.3      2022-03-30 [1] CRAN (R 4.2.0)\\r\\n#>  pillar        1.8.1      2022-08-19 [1] CRAN (R 4.2.0)\\r\\n#>  pkgconfig     2.0.3      2019-09-22 [1] CRAN (R 4.2.0)\\r\\n#>  profmem       0.6.0      2020-12-13 [1] CRAN (R 4.2.0)\\r\\n#>  purrr         1.0.1      2023-01-10 [1] CRAN (R 4.2.0)\\r\\n#>  R.cache       0.16.0     2022-07-21 [1] CRAN (R 4.2.0)\\r\\n#>  R.methodsS3   1.8.2      2022-06-13 [1] CRAN (R 4.2.0)\\r\\n#>  R.oo          1.25.0     2022-06-12 [1] CRAN (R 4.2.0)\\r\\n#>  R.utils       2.12.2     2022-11-11 [1] CRAN (R 4.2.0)\\r\\n#>  R6            2.5.1      2021-08-19 [1] CRAN (R 4.2.0)\\r\\n#>  reprex        2.0.2      2022-08-17 [1] CRAN (R 4.2.0)\\r\\n#>  rlang         1.1.0      2023-03-07 [1] Github (r-lib/rlang@60159c7)\\r\\n#>  rmarkdown     2.20       2023-01-19 [1] CRAN (R 4.2.0)\\r\\n#>  rstudioapi    0.14       2022-08-22 [1] CRAN (R 4.2.0)\\r\\n#>  sessioninfo   1.2.2      2021-12-06 [1] CRAN (R 4.2.0)\\r\\n#>  styler        1.9.1      2023-03-04 [1] CRAN (R 4.2.0)\\r\\n#>  tibble        3.1.8      2022-07-22 [1] CRAN (R 4.2.0)\\r\\n#>  tidyselect    1.2.0      2022-10-10 [1] CRAN (R 4.2.0)\\r\\n#>  utf8          1.2.3      2023-01-31 [1] CRAN (R 4.2.0)\\r\\n#>  vctrs         0.5.2.9000 2023-03-08 [1] Github (r-lib/vctrs@bdea1ce)\\r\\n#>  withr         2.5.0      2022-03-03 [1] CRAN (R 4.2.0)\\r\\n#>  xfun          0.37       2023-01-31 [1] CRAN (R 4.2.0)\\r\\n#>  yaml          2.3.7      2023-01-23 [1] CRAN (R 4.2.0)\\r\\n#> \\r\\n#>  [1] /Library/Frameworks/R.framework/Versions/4.2/Resources/library\\r\\n#> \\r\\n#> ──────────────────────────────────────────────────────────────────────────────\\r\\n```\\r\\n\\r\\n<\\/details>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6783/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6774\", #>     \"id\": 1609648276, #>     \"node_id\": \"I_kwDOAGIUpc5f8UiU\", #>     \"number\": 6774, #>     \"title\": \"`ungroup()` drops data frame attributes\", #>     \"user\": { #>       \"login\": \"mkoohafkan\", #>       \"id\": 4790348, #>       \"node_id\": \"MDQ6VXNlcjQ3OTAzNDg=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4790348?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mkoohafkan\", #>       \"html_url\": \"https://github.com/mkoohafkan\", #>       \"followers_url\": \"https://api.github.com/users/mkoohafkan/followers\", #>       \"following_url\": \"https://api.github.com/users/mkoohafkan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mkoohafkan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mkoohafkan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mkoohafkan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mkoohafkan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mkoohafkan/repos\", #>       \"events_url\": \"https://api.github.com/users/mkoohafkan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mkoohafkan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-03-04T07:05:33Z\", #>     \"updated_at\": \"2023-03-23T15:56:06Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"This is referring to **dataframe/tibble** attributes, not tibble *column* attributes. The CRAN install of dplyr 1.1.0 sometimes drops attributes:\\r\\n\\r\\n```r\\r\\nd = mtcars\\r\\nattr(d, \\\"foo\\\") = \\\"bar\\\"\\r\\nattr(d, \\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\n\\r\\n## preserved\\r\\nd |> select(cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> rename(cyl2 = cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> arrange(cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> group_by(cyl) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> mutate(mpg2 = mpg) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> transmute(mpg2 = mpg) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> filter(cyl == 1L) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> count(cyl) |> attr(\\\"foo\\\") \\r\\n#> [1] \\\"bar\\\"\\r\\nd |> bind_rows(d) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\nd |> bind_cols(select(d, cyl2 = cyl)) |> attr(\\\"foo\\\")\\r\\n#> [1] \\\"bar\\\"\\r\\n\\r\\n\\r\\n## dropped\\r\\nd |> group_by(cyl) |> ungroup() |> attr(\\\"foo\\\")\\r\\n#> NULL\\r\\nd |> summarize(mpg = max(mpg)) |> attr(\\\"foo\\\")\\r\\n#> NULL\\r\\n```\\r\\n\\r\\nI can understand why it might make sense for `summarize()` to drop attributes (but then why does `count()` preserve them?), but I don't see why `ungroup(group_by(...))` should drop attributes unilaterally. Given that almost all `dplyr` verbs preserve the attribute, I'm wondering if this is a bug/regression.\\r\\n\\r\\nThere are a variety of issues regarding attributes but they are all closed.\\r\\n\\r\\n- https://github.com/tidyverse/dplyr/issues/2432\\r\\n- https://github.com/tidyverse/dplyr/issues/5132\\r\\n- https://github.com/tidyverse/dplyr/issues/3429\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6774/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6712\", #>     \"id\": 1580234527, #>     \"node_id\": \"I_kwDOAGIUpc5eMHcf\", #>     \"number\": 6712, #>     \"title\": \"Can we improve on this `across()` error?\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-02-10T19:48:08Z\", #>     \"updated_at\": \"2023-02-10T19:48:08Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\ndf <- tibble(x = 1:2, y = 3:4)\\r\\n\\r\\nfn <- function(col) {\\r\\n  stop(\\\"oh no\\\")\\r\\n}\\r\\n\\r\\nmutate(df, across(y, fn))\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(y, fn)`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Can't compute column `y`.\\r\\n#> Caused by error:\\r\\n#> ! oh no\\r\\n```\\r\\n\\r\\nIt can probably just be:\\r\\n\\r\\n```r\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(y, fn)`.\\r\\n#> ℹ In column: `y`.\\r\\n#> Caused by error:\\r\\n#> ! oh no\\r\\n```\\r\\n\\r\\nAs mentioned here https://github.com/tidyverse/dplyr/pull/6704#discussion_r1102408064\\r\\n\\r\\nThrown from here, so seems plausible that we could improve on this\\r\\nhttps://github.com/tidyverse/dplyr/blob/49b39af5ebd79bf06bb809c8fdf3bd955d8f9ad8/R/mutate.R#L382-L388\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6712/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6676\", #>     \"id\": 1566600644, #>     \"node_id\": \"I_kwDOAGIUpc5dYG3E\", #>     \"number\": 6676, #>     \"title\": \"`bind_rows()` on a list of data.tables creates corrupt output\", #>     \"user\": { #>       \"login\": \"emilBeBri\", #>       \"id\": 964816, #>       \"node_id\": \"MDQ6VXNlcjk2NDgxNg==\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/964816?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/emilBeBri\", #>       \"html_url\": \"https://github.com/emilBeBri\", #>       \"followers_url\": \"https://api.github.com/users/emilBeBri/followers\", #>       \"following_url\": \"https://api.github.com/users/emilBeBri/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/emilBeBri/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/emilBeBri/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/emilBeBri/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/emilBeBri/orgs\", #>       \"repos_url\": \"https://api.github.com/users/emilBeBri/repos\", #>       \"events_url\": \"https://api.github.com/users/emilBeBri/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/emilBeBri/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-02-01T18:29:11Z\", #>     \"updated_at\": \"2023-02-14T17:33:04Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"\\r\\nwhen using bind_rows on a list of data.tables with keys, with either map_dfr or a do.call, the keys are not removed This is a problem, because the keys are not correct anymore, which means that later queries are using an index that is wrong. \\r\\n\\r\\nnot sure if I should report this under data.table or dplyr, but since the issue is in bin_rows, I guess it is dplyr.\\r\\n\\r\\n[here is the issue I filed under data.table](https://github.com/Rdatatable/data.table/issues/5587)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\nlibrary(data.table)\\r\\nlibrary(dplyr)\\r\\n\\r\\n\\r\\n\\r\\n\\r\\ndata <- data.table(var1=c('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'), var2=c(rep(2016, 4), rep(2018, 4)), key=c('var1', 'var2'))\\r\\n\\r\\n\\r\\ntest1 <- lapply(c(2018, 2016), function(x) data[var2 %in% c(x-1, x)])\\r\\n\\r\\n\\r\\ntest2 <- do.call(bind_rows, test1)\\r\\n# wrong \\r\\ntest2[var1 %in% c('c', 'e'), .N]\\r\\n# right\\r\\nsum( test2$var1 %in% c('c', 'e') )\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\nsame thing  happens w. map_dfr,that uses bind_rows under the hood. This is how I found the issue. It is very common in my workflow, and I suspect I am not the one.\\r\\n\\r\\n\\r\\ndoing the same with rbind removes the keys, which is the expected behaviour - as the index from the key are no longer valid.\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\ntest2_rbind <- do.call(rbind, test1) \\r\\n# here it is fine - because the keys not there, giving a wrong picture of the structure of the DT\\r\\ntest2_rbind[var1 %in% c('c', 'e'), .N]\\r\\n\\r\\n# when removing the keys, everything is fine. \\r\\nsetkey(test2, NULL)\\r\\ntest2[var1 %in% c('c', 'e'), .N]\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\n\\r\\ncuriosly, using split() instead of lapply circumvents the issue - but this is not a solution, since typically you need to apply a function to the data, - splitting it and then recombining it with split() makes no sense. But I am including it here for completeness.\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\ntest1 <- split(data, data$var2)\\r\\ntest2 <- do.call(bind_rows, test1)\\r\\n# right \\r\\ntest2[var1 %in% c('c', 'e'), .N]\\r\\n\\r\\n```\\r\\n\\r\\nsessionInfo\\r\\n\\r\\n```\\r\\n\\r\\nR version 4.2.2 (2022-10-31)\\r\\nPlatform: x86_64-pc-linux-gnu (64-bit)\\r\\nRunning under: Manjaro Linux\\r\\n\\r\\nMatrix products: default\\r\\nBLAS:   /usr/lib/libblas.so.3.11.0\\r\\nLAPACK: /usr/lib/liblapack.so.3.11.0\\r\\n\\r\\nlocale:\\r\\n [1] LC_CTYPE=en_DK.UTF-8       LC_NUMERIC=C\\r\\n [3] LC_TIME=en_DK.UTF-8        LC_COLLATE=en_DK.UTF-8\\r\\n [5] LC_MONETARY=en_DK.UTF-8    LC_MESSAGES=en_DK.UTF-8\\r\\n [7] LC_PAPER=en_DK.UTF-8       LC_NAME=C\\r\\n [9] LC_ADDRESS=C               LC_TELEPHONE=C\\r\\n[11] LC_MEASUREMENT=en_DK.UTF-8 LC_IDENTIFICATION=C\\r\\n\\r\\nattached base packages:\\r\\n[1] stats     graphics  grDevices utils     datasets  methods   base\\r\\n\\r\\nother attached packages:\\r\\n[1] dplyr_1.0.10      data.table_1.14.6\\r\\n\\r\\nloaded via a namespace (and not attached):\\r\\n [1] fansi_1.0.4      assertthat_0.2.1 utf8_1.2.2       R6_2.5.1\\r\\n [5] DBI_1.1.3        lifecycle_1.0.3  magrittr_2.0.3   pillar_1.8.1\\r\\n [9] rlang_1.0.6      cli_3.6.0        vctrs_0.5.2      generics_0.1.3\\r\\n[13] glue_1.6.2       compiler_4.2.2   pkgconfig_2.0.3  tidyselect_1.2.0\\r\\n[17] tibble_3.1.8\\r\\n\\r\\n\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6676/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     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\"2023-01-26T17:12:22Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"With the introduction of `.by`, we no longer sort group keys automatically. There are a whole host of good reasons for this as outlined here https://github.com/tidyverse/dplyr/issues/5664#issuecomment-907232443, and I am mostly confident this is the right long term default for dplyr.\\r\\n\\r\\nHowever, I am empathetic to the fact that users do often like to see their summary results sorted in ascending order. Right now, our recommendation is:\\r\\n\\r\\n```r\\r\\ndf %>%\\r\\n  summarise(..., .by = c(a, b, c)) %>%\\r\\n  arrange(a, b, c) # could also come before `summarise()`\\r\\n```\\r\\n\\r\\nThis is nice because you get the full power of `arrange()` including `desc()` and `.locale`.\\r\\n\\r\\nI think we should _consider_ a `.sort` argument like:\\r\\n\\r\\n```r\\r\\ndf %>%\\r\\n  summarise(..., .by = c(a, b, c), .sort = TRUE)\\r\\n```\\r\\n\\r\\n- `.sort = FALSE` would be the default for reasons mentioned above.\\r\\n- We'd document this as the 100% backwards compatible way to transition from `group_by()` to `.by` (even though most of the time the ordering isn't important).\\r\\n- You must accept that you get _ascending order_ and the _C locale_. That makes it compatible with `group_by()`. If you need anything fancier, call `arrange()`.\\r\\n- I do like that you won't have to repeat the group names.\\r\\n- Obviously `.sort = TRUE` errors on unorderable types like clock's year-month-weekday.\\r\\n- This would probably only be an argument for the `.data.frame` method, as opposed to the generic, because dbplyr probably won't want to enforce a sort order? Uncertain.\\r\\n\\r\\nBasically, this leaves the idea of a `groupby + summarise` operation theoretically pure (because it shouldn't require orderable keys), but also gives users a convenient way to optionally opt in to sorted results.\\r\\n\\r\\n---\\r\\n\\r\\nThere are 3 functions that would get this argument:\\r\\n- `summarise()`\\r\\n- `reframe()`\\r\\n- `slice_sample()` (goes with #6662)\\r\\n\\r\\nThe following would not get `.sort` because they aren't about row ordering:\\r\\n- `filter()`\\r\\n- `mutate()`\\r\\n- `slice()` and `slice_min/max/head/tail()` (after #6662 is changed)\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6663/reactions\", #>       \"total_count\": 1, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6663/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6662\", #>     \"id\": 1558447141, #>     \"node_id\": \"I_kwDOAGIUpc5c5AQl\", #>     \"number\": 6662, #>     \"title\": \"`slice()` and `slice_head/tail/min/max()` should act like a `filter()` not a `reframe()`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708198, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODE5OA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/bug\", #>         \"name\": \"bug\", #>         \"color\": \"E0B3A2\", #>         \"default\": true, #>         \"description\": \"an unexpected problem or unintended behavior\" #>       }, #>       { #>         \"id\": 3407327207, #>         \"node_id\": \"LA_kwDOAGIUpc7LF6_n\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/rows%20%E2%86%95%EF%B8%8F\", #>         \"name\": \"rows ↕️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on rows: filter(), slice(), arrange()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-01-26T16:46:52Z\", #>     \"updated_at\": \"2023-01-26T16:51:00Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Note that this `filter()` call keeps the groups of `x` separated. i.e.  the groups of `2` and `1` are not aggregated together\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf <- tibble(x = c(2, 1, 2, 2, 1), y = c(3, 2, 1, 2, 4))\\r\\ndf\\r\\n#> # A tibble: 5 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     1     2\\r\\n#> 3     2     1\\r\\n#> 4     2     2\\r\\n#> 5     1     4\\r\\n\\r\\n# Maintain group separation, we just take the first 2 per x group\\r\\ndf %>% filter(row_number() %in% 1:2, .by = x)\\r\\n#> # A tibble: 4 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     1     2\\r\\n#> 3     2     1\\r\\n#> 4     1     4\\r\\n```\\r\\n\\r\\n`filter()` is simply about deciding which rows to keep, not about the ordering of the result.\\r\\n\\r\\nI think that `slice()` and `slice_head/tail/min/max()` should function the exact same way. They currently do not:\\r\\n\\r\\n``` r\\r\\n# These both group the results by `x`.\\r\\n# The difference is `.by` doesn't do an additional sort by `x`.\\r\\ndf %>% slice(1:2, .by = x)\\r\\n#> # A tibble: 4 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     2     1\\r\\n#> 3     1     2\\r\\n#> 4     1     4\\r\\n\\r\\ndf %>% group_by(x) %>% slice(1:2)\\r\\n#> # A tibble: 4 × 2\\r\\n#> # Groups:   x [2]\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     1     2\\r\\n#> 2     1     4\\r\\n#> 3     2     3\\r\\n#> 4     2     1\\r\\n```\\r\\n\\r\\nSlicing is purely about figuring out which rows to _keep_. It doesn't have anything to do with determining the order of said rows.\\r\\n\\r\\nThe current slice implementation is (implicitly) like a `reframe()` call instead.\\r\\n\\r\\n``` r\\r\\ndf %>% reframe(.by = x, {\\r\\n  data <- pick(everything())\\r\\n  data[row_number() %in% 1:2,]\\r\\n})\\r\\n#> # A tibble: 4 × 2\\r\\n#>       x     y\\r\\n#>   <dbl> <dbl>\\r\\n#> 1     2     3\\r\\n#> 2     2     1\\r\\n#> 3     1     2\\r\\n#> 4     1     4\\r\\n```\\r\\n\\r\\nI think the way to practically make it work like a `filter()` is to change the implementation to build up a logical vector the same size as `.data` to slice with. That would retain the row ordering of `.data`.\\r\\n\\r\\n---\\r\\n\\r\\nThe one `slice()` family exception to this is `slice_sample()`, which is not a filter. It can even generate more rows than you started with. Possibly this is a sign that `slice_*()` was an unfortunate prefix for that.\\r\\n\\r\\nFor this reason, `slice_sample()` should continue to aggregate groups together. It will just be slightly different, but that is okay.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6662/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6660\", #>     \"id\": 1556850210, #>     \"node_id\": \"I_kwDOAGIUpc5cy6Yi\", #>     \"number\": 6660, #>     \"title\": \"`mutate(.by_row =)`, `reframe(.by_row =)`, and possibly `filter(.by_row =)`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-01-25T15:31:55Z\", #>     \"updated_at\": \"2023-02-08T19:02:16Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Related to https://github.com/tidyverse/dplyr/issues/4723\\r\\n\\r\\nWith the introduction of `.by`, it seems reasonable to once again reconsider `rowwise()` as well. I think we are convinced that the _idea_ of rowwise is useful, but the implementation could possibly be improved. A few pain points:\\r\\n- `rowwise()` is a form of persistent grouping, but you rarely want it on for more than 1 operation\\r\\n- `ungroup()` is an odd verb for turning off rowwise behavior\\r\\n- It still sucks that you need `summarise(model = list(lm(...)))`, i.e. the `list()` wrapping is manual\\r\\n- Maintaining the `rowwise_df` class is difficult and error prone for us\\r\\n- There are _very_ few times where rowwise behavior is actually useful. I think the two cases are `mutate()` and `reframe()`.\\r\\n\\r\\n---\\r\\n\\r\\nWith that in mind, I'd like to suggest a two-part replacement for `rowwise()`:\\r\\n- Two per-operation rowwise verbs, `mutate_row()` and `reframe_row()`. These become the _only_ two places in dplyr where rowwise behavior is applicable.\\r\\n- Give `mutate()`, `summarise()`, `reframe()`, `mutate_row()`, and `reframe_row()` the ability to automatically wrap scalars in a list. i.e. if `vec_is(elt)` is `FALSE`, wrap automatically into a list. This means that value could _never_ exist in a data frame column as is, so there is no ambiguity about wrapping and it is fairly easy to explain.\\r\\n\\r\\nThose two proposals result in the following new patterns:\\r\\n\\r\\n```r\\r\\n# dplyr 1.1.0\\r\\niris %>%\\r\\n  tidyr::nest(.by = Species) %>%\\r\\n  rowwise(Species) %>%\\r\\n  mutate(model = list(lm(Petal.Length ~ Sepal.Length, data = data))) %>%\\r\\n  reframe(broom::tidy(model))\\r\\n   \\r\\n# New 1:\\r\\n# (note the lack of list(), and no persistant rowwise-ness)\\r\\n# (note how we carry Species along in the reframe_row() call)\\r\\niris %>%\\r\\n  tidyr::nest(.by = Species) %>%\\r\\n  mutate_row(model = lm(Petal.Length ~ Sepal.Length, data = data)) %>%\\r\\n  reframe_row(Species, broom::tidy(model))\\r\\n\\r\\n# New 2:\\r\\n# (note that even summarise() doesn't need manual list() wrapping)\\r\\niris %>%\\r\\n  summarise(\\r\\n    model = lm(Petal.Length ~ Sepal.Length, data = pick(everything())),\\r\\n    .by = Species\\r\\n  ) %>%\\r\\n  reframe_row(Species, broom::tidy(model))\\r\\n\\r\\n# All result in:\\r\\n\\r\\n#> # A tibble: 6 × 6\\r\\n#>   Species    term         estimate std.error statistic  p.value\\r\\n#>   <fct>      <chr>           <dbl>     <dbl>     <dbl>    <dbl>\\r\\n#> 1 setosa     (Intercept)     0.803    0.344      2.34  2.38e- 2\\r\\n#> 2 setosa     Sepal.Length    0.132    0.0685     1.92  6.07e- 2\\r\\n#> 3 versicolor (Intercept)     0.185    0.514      0.360 7.20e- 1\\r\\n#> 4 versicolor Sepal.Length    0.686    0.0863     7.95  2.59e-10\\r\\n#> 5 virginica  (Intercept)     0.610    0.417      1.46  1.50e- 1\\r\\n#> 6 virginica  Sepal.Length    0.750    0.0630    11.9   6.30e-16\\r\\n```\\r\\n\\r\\nThis two part proposal has the very nice property that the difference between `mutate()` and `mutate_row()` becomes _purely_ about column access:\\r\\n- `mutate()` accesses columns using `vec_slice()` / `[`\\r\\n- `mutate_row()` accesses columns using `vec_slice2()` / `[[`\\r\\n\\r\\nIn other words, rowwise has _nothing_ to do with the output type of each column expression, and you still get useful results.\\r\\n\\r\\nIn terms of other invariants, there is one related to `vec_size()`:\\r\\n- `mutate_row()` requires each expression to return an element of `vec_size() == 1`\\r\\n- `reframe_row()` allows each expression to return an element of any size\\r\\n- (the size invariant is enforced after list wrapping) \\r\\n\\r\\nOther niceties:\\r\\n- It becomes very clear when you are doing a rowwise operation, because it is in the name of the verb (similar to `.by` being in the verb)\\r\\n- Somewhat obvious, but it means rowwise behavior isn't persistent. You always have bare tibble in, bare tibble out, which greatly simplifies things.\\r\\n\\r\\n---\\r\\n\\r\\nExtra notes:\\r\\n- Somewhat obvious, but `mutate_row()` and `reframe_row()` won't get `.by` because they operation \\\"by row\\\"\\r\\n- We don't want to teach `.by` about rowwise behavior, like `.by = .row` or something. We want `.by` to be _pure_ tidyselect. Plus this special behavior would only apply for `mutate()` and `reframe()` and that would be very confusing.\\r\\n- We do _not_ need `summarise_row()`. This would have the _exact_ same semantics as `mutate_row()`, but would just drop unused columns (which can mostly be done with `.keep` in `mutate_row()`). In particular `summarise_row()` and `mutate_row()` would both have to have the `vec_size() == 1` invariant from above, so we really don't need both.\\r\\n- There is no need for `filter_row()`. The only useful thing I can think of is something like `filter_row(!is.null(model))` for filtering out `NULL` list elements. But you can do that way more efficiently with an ungrouped call to `filter(!funs::is_na(model))`.\\r\\n\\r\\n`mutate_row()` and `reframe_row()` mostly have the semantics of the wrappers below, but this doesn't do the automatic list-wrapping of scalars:\\r\\n\\r\\n```r\\r\\nmutate_row <- function(.data, ...) {\\r\\n  .data <- rowwise(.data)\\r\\n  .data <- mutate(.data, ...)\\r\\n  ungroup(.data)\\r\\n}\\r\\n\\r\\nreframe_row <- function(.data, ...) {\\r\\n  .data <- rowwise(.data)\\r\\n  reframe(.data, ...)\\r\\n}\\r\\n```\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6660/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6596/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6596\", #>     \"id\": 1490175148, #>     \"node_id\": \"PR_kwDOAGIUpc5FGRxp\", #>     \"number\": 6596, #>     \"title\": \"WIP: Avoid stripping attributes in dplyr_reconstruct()\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": 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\"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 2, #>     \"created_at\": \"2022-12-11T16:13:54Z\", #>     \"updated_at\": \"2023-05-17T13:37:25Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6596\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6596\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6596.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6596.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Reverts #5277.\\r\\n\\r\\nThis avoids materialization of the lazy relational object.\\r\\n\\r\\nWe don't need this if https://github.com/duckdblabs/duckplyr/commit/9ceb8157d1cc2e17e1f27b6b09afd5fdc58670b7 is deemed okay.\", #>     \"reactions\": { #>       \"url\": 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\"id\": 1470361443, #>     \"node_id\": \"I_kwDOAGIUpc5Xo-9j\", #>     \"number\": 6580, #>     \"title\": \"Make `Joining with` message clickable to copy-to-clipboard\", #>     \"user\": { #>       \"login\": \"donboyd5\", #>       \"id\": 6538392, #>       \"node_id\": \"MDQ6VXNlcjY1MzgzOTI=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/6538392?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/donboyd5\", #>       \"html_url\": \"https://github.com/donboyd5\", #>       \"followers_url\": \"https://api.github.com/users/donboyd5/followers\", #>       \"following_url\": \"https://api.github.com/users/donboyd5/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/donboyd5/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/donboyd5/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/donboyd5/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/donboyd5/orgs\", #>       \"repos_url\": \"https://api.github.com/users/donboyd5/repos\", #>       \"events_url\": \"https://api.github.com/users/donboyd5/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/donboyd5/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1257707950, #>         \"node_id\": \"MDU6TGFiZWwxMjU3NzA3OTUw\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/tables%20%F0%9F%A7%AE\", #>         \"name\": \"tables 🧮\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"joins and set operations\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2022-11-30T23:25:12Z\", #>     \"updated_at\": \"2022-12-10T19:10:28Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Hi,\\r\\n\\r\\ndplyr 1.1.0 seems like it is going to be great (I installed the dev version with `pak::[pak](http://pak.r-lib.org/reference/pak.html)(\\\"tidyverse/dplyr\\\")`). I really like .by in summarise and mutate.\\r\\n\\r\\nOne small suggestion for messages related to the new join:\\r\\n\\r\\nIn the old join, if I leave out the \\\"by\\\" it gives a helpful message stating what it does by default, giving the \\\", by=\\\" statement it used. This is nice because if I like it, I can copy it directly into code.\\r\\n\\r\\nThe new 1.1.0 message when \\\"by\\\" is left out is slightly different. For example, here is a typical message:\\r\\n\\r\\n``` \\r\\nJoining with `by = join_by(mergevar)`\\r\\n```\\r\\n\\r\\nNotice that this does not have a comma and space before the \\\"by\\\", or else it would look like this:\\r\\n\\r\\n``` \\r\\nJoining with `, by = join_by(mergevar)`\\r\\n```\\r\\n\\r\\nThe advantage of the second message is that it can be copied into code without the two extra keystrokes the first one requires. Hardly a significant issue, but it could add up over thousands of people and many days.\\r\\n\\r\\nThanks for considering it.\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6580/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6580/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560/labels{/name}\", #>     \"comments_url\": 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\"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 3407327207, #>         \"node_id\": \"LA_kwDOAGIUpc7LF6_n\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/rows%20%E2%86%95%EF%B8%8F\", #>         \"name\": \"rows ↕️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on rows: filter(), slice(), arrange()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 6, #>     \"created_at\": \"2022-11-23T15:02:42Z\", #>     \"updated_at\": \"2023-04-29T07:50:47Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Currently, `filter()`:\\r\\n- Retains `TRUE`\\r\\n- Drops `FALSE` and `NA`\\r\\n- This matches `subset()`\\r\\n\\r\\nA number of requests have come up in the past desiring:\\r\\n- Retains `TRUE` and `NA`\\r\\n- Drops `FALSE`\\r\\n- This matches `[`\\r\\n\\r\\nHere are a few:\\r\\n* https://stackoverflow.com/questions/46378437/how-to-filter-data-without-losing-na-rows-using-dplyr (17k views)\\r\\n* https://stackoverflow.com/questions/32908589/why-does-dplyrs-filter-drop-na-values-from-a-factor-variable (8k views)\\r\\n* https://github.com/tidyverse/dplyr/issues/6432 (august this year)\\r\\n* https://github.com/tidyverse/dplyr/issues/6013\\r\\n* https://github.com/tidyverse/dplyr/issues/4478 (requesting more docs about this)\\r\\n* https://github.com/tidyverse/dplyr/issues/3196\\r\\n* https://github.com/tidyverse/dplyr/issues/812\\r\\n* https://github.com/tidyverse/dplyr/issues/1527 (more about drop(), but still related to NAs)\\r\\n* My wife has brought this up to me at least 3 times\\r\\n\\r\\nThis is most apparently annoying when you have multiple columns to filter by\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\ndf <- tibble(\\r\\n  x = c(TRUE, FALSE, NA, NA, NA),\\r\\n  y = c(NA, TRUE, NA, NA, NA),\\r\\n  z = c(TRUE, TRUE, TRUE, FALSE, NA)\\r\\n)\\r\\ndf\\r\\n#> # A tibble: 5 × 3\\r\\n#>   x     y     z    \\r\\n#>   <lgl> <lgl> <lgl>\\r\\n#> 1 TRUE  NA    TRUE \\r\\n#> 2 FALSE TRUE  TRUE \\r\\n#> 3 NA    NA    TRUE \\r\\n#> 4 NA    NA    FALSE\\r\\n#> 5 NA    NA    NA\\r\\n\\r\\nfilter(df, x, y, z)\\r\\n#> # A tibble: 0 × 3\\r\\n#> # … with 3 variables: x <lgl>, y <lgl>, z <lgl>\\r\\n\\r\\nfilter(df, x | is.na(x), y | is.na(y), z | is.na(z))\\r\\n#> # A tibble: 3 × 3\\r\\n#>   x     y     z    \\r\\n#>   <lgl> <lgl> <lgl>\\r\\n#> 1 TRUE  NA    TRUE \\r\\n#> 2 NA    NA    TRUE \\r\\n#> 3 NA    NA    NA\\r\\n```\\r\\n\\r\\nI propose a `.missing = c(\\\"drop\\\", \\\"keep\\\", \\\"error\\\")` argument to `filter()` that would allow you to optionally keep rows with `NA`.\\r\\n\\r\\nWe'd have to carefully analyze the boolean algebra here to make sure we are being consistent. In particular I think we want to make sure these are the same if we do this, but I think they are:\\r\\n\\r\\n```r\\r\\n# these should be the same\\r\\nfilter(df, x, y, .missing = \\\"drop\\\")\\r\\nfilter(df, x & y, .missing = \\\"drop\\\")\\r\\n\\r\\n# these should be the same\\r\\nfilter(df, x, y, .missing = \\\"keep\\\")\\r\\nfilter(df, x & y, .missing = \\\"keep\\\")\\r\\n```\\r\\n\\r\\nThe `\\\"drop\\\"` case is probably already consistent because that is what we do today, and the `\\\"keep\\\"` case is probably like this, which seems consistent\\r\\n\\r\\n``` r\\r\\nna_to_true <- function(x) {\\r\\n  x[is.na(x)] <- TRUE\\r\\n  x\\r\\n}\\r\\n\\r\\nna_to_true(TRUE & NA)\\r\\n#> [1] TRUE\\r\\nna_to_true(TRUE) & na_to_true(NA)\\r\\n#> [1] TRUE\\r\\n```\\r\\n\\r\\n---\\r\\n\\r\\nWhen we do this, we should also think about whether `vec_pall()` or `vec_pany()` could be used in `filter()` in any way, since they are heavily optimized for performance.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560/reactions\", #>       \"total_count\": 11, #>       \"+1\": 11, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6560/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6532\", #>     \"id\": 1440478260, #>     \"node_id\": \"I_kwDOAGIUpc5V2_Q0\", #>     \"number\": 6532, #>     \"title\": \"Alternative `summarise()` groupings\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1728164976, #>         \"node_id\": \"MDU6TGFiZWwxNzI4MTY0OTc2\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/grouping%20:family_man_woman_girl_boy:\", #>         \"name\": \"grouping :family_man_woman_girl_boy:\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2022-11-08T16:02:55Z\", #>     \"updated_at\": \"2022-11-18T15:12:16Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Related to\\r\\nhttps://github.com/tidyverse/dplyr/issues/14\\r\\nhttps://github.com/tidyverse/dplyr/issues/236\\r\\nhttps://github.com/tidyverse/dplyr/issues/4722\\r\\n\\r\\nWith the addition of `.by`, we now have less reliance on the `<grouped_df>` class in general. This means that it is probably a lot easier to add narrowly scoped grouping extensions that only affect specific verbs.\\r\\n\\r\\nFor example, `summarise()` could gain support for bootstrap summaries, sort of like what I did for strapgod https://github.com/DavisVaughan/strapgod. It could also gain support for rollup summaries, completing with syntax like `complete(x / (a * b))`, and maybe rolling window summaries.\\r\\n\\r\\nThe general idea is that instead of grouping by columns:\\r\\n\\r\\n```r\\r\\ndf %>% summarise(mean = mean(x), .by = c(y, z))\\r\\n```\\r\\n\\r\\nyou could do this instead to generate 5 replicates of the data and then summarise the mean of each replicate:\\r\\n\\r\\n```r\\r\\ndf %>% summarise(mean = mean(x), .rows = bootstraps(5))\\r\\n```\\r\\n\\r\\nThis theoretical `.rows` argument (name subject to change) would be mutually exclusive with `.by`. The implementation of `bootstraps()` would roughly look like:\\r\\n\\r\\n```r\\r\\nbootstraps <- function(n) {\\r\\n  function (data) {\\r\\n    # Use `data` and `n` to generate a `group_data()` structure,\\r\\n    # i.e. with `n = 5` probably a `.bootstraps = 1:5` column and a `.rows = list(sample(5), sample(5), ...)` list col\\r\\n    tibble(...)\\r\\n  }\\r\\n}\\r\\n```\\r\\n\\r\\n`.rows` would take either:\\r\\n- A data frame containing a `group_data()`-like structure that identifies which rows of `data` go with each group, and what the keys are\\r\\n- Or a function of 1 argument, the original data, which would generate that group-data like data frame.\\r\\n\\r\\nRight now we think that the only verb that should have this argument is `summarise()`. This alternative grouping structure probably doesn't make a whole lot of sense for `mutate()`, `filter()`, `slice()`, etc.\\r\\n\\r\\nThis could be a solution to the fact that `.by` doesn't allow you to support `.drop = FALSE`. That `.drop` option is essentially only used with `summarise()`, so something like this could possibly replace it `summarise(df, .rows = no_drop(x, y))` which would internally just create the group-data structure that we already make with `compute_groups(drop = FALSE)`.\\r\\n\\r\\nA list of potential extensions:\\r\\n- `group(x, y, z)`, equivalent to `.by`\\r\\n- `rollup(x, y)`\\r\\n- `complete(x / (a * b))` Wilkinson-Rogers syntax\\r\\n- `no_drop(x, y)`, for `.drop = FALSE`, but with a better name. or `group(x, y, z, .drop = FALSE)`, or only use Wilkinson-Rogers syntax\\r\\n- `rolling(2)` for rolling summaries\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6532/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6525\", #>     \"id\": 1434886487, #>     \"node_id\": \"I_kwDOAGIUpc5VhqFX\", #>     \"number\": 6525, #>     \"title\": \"Avoid materialization of row names\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/krlmlr\", #>       \"html_url\": \"https://github.com/krlmlr\", #>       \"followers_url\": \"https://api.github.com/users/krlmlr/followers\", #>       \"following_url\": \"https://api.github.com/users/krlmlr/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/krlmlr/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 11, #>     \"created_at\": \"2022-11-03T15:48:37Z\", #>     \"updated_at\": \"2022-11-12T14:34:58Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"For duckdb, it is crucial that the row names are materialized only when really accessing the data. Currently, this happens in at least two undesired places. We can work around for now, but eventually this should be fixed.\\r\\n\\r\\nThe relational package implements a data frame wrapper that shows messages when data access is triggered. Eventually, this will be on CRAN so that we can use it in tests.\\r\\n\\r\\nCC @hannes.\\r\\n\\r\\n``` r\\r\\n# remotes::install_github(“duckdblabs/relational”)\\r\\n\\r\\ndf <- data.frame(a = 1:3)\\r\\n\\r\\ndf1 <- relational::wrap_df(df)\\r\\n#> 1\\r\\n#> 2\\r\\ndplyr:::dplyr_new_data_frame(df1)\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] NA -3\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] 1 2 3\\r\\n#>   a\\r\\n#> 1 1\\r\\n#> 2 2\\r\\n#> 3 3\\r\\n\\r\\ndf2 <- relational::wrap_df(df)\\r\\n#> 1\\r\\n#> 2\\r\\ndplyr::dplyr_reconstruct(df2, df)\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] NA -3\\r\\n#> ⚠️ DATAPTR()\\r\\n#> [1] 1 2 3\\r\\n#>   a\\r\\n#> 1 1\\r\\n#> 2 2\\r\\n#> 3 3\\r\\n```\\r\\n\\r\\n<sup>Created on 2022-11-03 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6525/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6497\", #>     \"id\": 1404643905, #>     \"node_id\": \"I_kwDOAGIUpc5TuSpB\", #>     \"number\": 6497, #>     \"title\": \"`nest_join()` upgrades\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1257707950, #>         \"node_id\": \"MDU6TGFiZWwxMjU3NzA3OTUw\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/tables%20%F0%9F%A7%AE\", #>         \"name\": \"tables 🧮\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"joins and set operations\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2022-10-11T13:28:26Z\", #>     \"updated_at\": \"2023-01-23T20:11:04Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"In some recent exploration of `nest_join()`, I've decided that it is lacking some features that would make it more powerful and generic. They are:\\r\\n\\r\\n- `nest = c(\\\"y\\\", \\\"x\\\", \\\"both\\\")`, an argument that would decide which inputs should be nested. Right now, we can only get the behavior of `nest = \\\"y\\\"`, but `nest = \\\"both\\\"` is particularly useful to replace something like this `left_join(group_nest(x, g), group_nest(y, g), by = g)`. It would interact with the `name = NULL` argument.\\r\\n  - `nest = \\\"y\\\"` or `nest = \\\"x\\\"`: `name = NULL` autonames based on the relevant input, otherwise can be a single string\\r\\n  - `nest = \\\"both\\\"`: `name = NULL` autonames based on both inputs, otherwise must be a character vector of length 2\\r\\n\\r\\n- `type = c(\\\"left\\\", \\\"right\\\", \\\"inner\\\", \\\"full\\\")`, an argument that describes which type of join you'd like to do. Right now, `nest_join()` really only does the semantics of a left-join (keep all rows from x, drop unmatched rows from y). I think it would be pretty nice to be able to do all types of joins.\\r\\n\\r\\n---\\r\\n\\r\\nContext is with ivs, where it is often useful to apply something like `iv_set_intersect()` between columns across multiple tables and _by key_. You need to be able to do `nest = \\\"both\\\"` to get two list-columns, and then you can apply `rowwise() %>% summarise(iv = iv_set_intersect(x$iv, y$iv))` to that to apply the function per key.\\r\\n\\r\\nThis is the general idea that I want to make easier\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nlibrary(ivs)\\r\\nlibrary(clock)\\r\\n\\r\\nneedles <- tibble(\\r\\n  g = c(1, 1, 1, 1, 2, 2, 2),\\r\\n  lower = date_build(2019, 1, c(1, 5, 10, 12, 2, 8, 9)),\\r\\n  upper = date_build(2019, 1, c(3, 7, 11, 14, 3, 11, 10))\\r\\n) %>%\\r\\n  mutate(range = iv(lower, upper), .keep = \\\"unused\\\")\\r\\n\\r\\nhaystack <- tibble(\\r\\n  g = c(1, 1, 1, 2, 2),\\r\\n  lower = date_build(2019, 1, c(2, 4, 12, 6, 14)),\\r\\n  upper = date_build(2019, 1, c(8, 11, 15, 9, 16))\\r\\n) %>%\\r\\n  mutate(range = iv(lower, upper), .keep = \\\"unused\\\")\\r\\n\\r\\nneedles\\r\\n#> # A tibble: 7 × 2\\r\\n#>       g                    range\\r\\n#>   <dbl>               <iv<date>>\\r\\n#> 1     1 [2019-01-01, 2019-01-03)\\r\\n#> 2     1 [2019-01-05, 2019-01-07)\\r\\n#> 3     1 [2019-01-10, 2019-01-11)\\r\\n#> 4     1 [2019-01-12, 2019-01-14)\\r\\n#> 5     2 [2019-01-02, 2019-01-03)\\r\\n#> 6     2 [2019-01-08, 2019-01-11)\\r\\n#> 7     2 [2019-01-09, 2019-01-10)\\r\\nhaystack\\r\\n#> # A tibble: 5 × 2\\r\\n#>       g                    range\\r\\n#>   <dbl>               <iv<date>>\\r\\n#> 1     1 [2019-01-02, 2019-01-08)\\r\\n#> 2     1 [2019-01-04, 2019-01-11)\\r\\n#> 3     1 [2019-01-12, 2019-01-15)\\r\\n#> 4     2 [2019-01-06, 2019-01-09)\\r\\n#> 5     2 [2019-01-14, 2019-01-16)\\r\\n\\r\\nnested_needles <- needles %>%\\r\\n  group_by(g) %>%\\r\\n  group_nest(.key = \\\"needles\\\")\\r\\n\\r\\nnested_haystack <- haystack %>%\\r\\n  group_by(g) %>%\\r\\n  group_nest(.key = \\\"haystack\\\")\\r\\n\\r\\nnested_needles\\r\\n#> # A tibble: 2 × 2\\r\\n#>       g            needles\\r\\n#>   <dbl> <list<tibble[,1]>>\\r\\n#> 1     1            [4 × 1]\\r\\n#> 2     2            [3 × 1]\\r\\nnested_haystack\\r\\n#> # A tibble: 2 × 2\\r\\n#>       g           haystack\\r\\n#>   <dbl> <list<tibble[,1]>>\\r\\n#> 1     1            [3 × 1]\\r\\n#> 2     2            [2 × 1]\\r\\n\\r\\nleft_join(nested_needles, nested_haystack, by = join_by(g)) %>%\\r\\n  rowwise(g) %>%\\r\\n  summarise(range = iv_intersect(needles$range, haystack$range), .groups = \\\"drop\\\")\\r\\n#> # A tibble: 5 × 2\\r\\n#>       g                    range\\r\\n#>   <dbl>               <iv<date>>\\r\\n#> 1     1 [2019-01-02, 2019-01-03)\\r\\n#> 2     1 [2019-01-05, 2019-01-07)\\r\\n#> 3     1 [2019-01-10, 2019-01-11)\\r\\n#> 4     1 [2019-01-12, 2019-01-14)\\r\\n#> 5     2 [2019-01-08, 2019-01-09)\\r\\n```\\r\\n\\r\\n<sup>Created on 2022-10-11 with [reprex v2.0.2.9000](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6497/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>      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arguments?\", #>     \"user\": { #>       \"login\": \"hadley\", #>       \"id\": 4196, #>       \"node_id\": \"MDQ6VXNlcjQxOTY=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4196?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/hadley\", #>       \"html_url\": \"https://github.com/hadley\", #>       \"followers_url\": \"https://api.github.com/users/hadley/followers\", #>       \"following_url\": \"https://api.github.com/users/hadley/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/hadley/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/hadley/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/hadley/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/hadley/orgs\", #>       \"repos_url\": \"https://api.github.com/users/hadley/repos\", #>       \"events_url\": 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  \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2022-09-01T14:26:28Z\", #>     \"updated_at\": \"2022-09-01T21:42:12Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"To match `mutate()`\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6446/reactions\", #>       \"total_count\": 3, #>       \"+1\": 3, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6446/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6435\", #>     \"repository_url\": 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iteration of this request was [closed and locked as old](https://github.com/tidyverse/dplyr/issues/2183), but the asserted rationale does not address the request. It would be very useful if the `dplyr` mutating join functions allowed for an option to create a variable indicating which observations were joined (or not) from each data frame. This is a feature available in Stata's `merge` command and in Pandas (`indicator = True`). It has been implemented in R through the `statar` package, but it would be great to have it included in the `dplyr` mutating join functions. \\r\\n\\r\\nThe purported rationale for closing the earlier iteration of this feature request was that `tidylog` has solved the problem. The `tidylog` package is great, but it doesn't add any variables to the merged data frame, which was the initial feature request. \\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6435/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6435/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6404\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6404/labels{/name}\", #>     \"comments_url\": 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\"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6252/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6252/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6252/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6252\", #>     \"id\": 1221859613, #>     \"node_id\": \"PR_kwDOAGIUpc43HX3h\", #>     \"number\": 6252, #>     \"title\": \"POC: Set focus to new and used columns after mutate()\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/krlmlr\", #>       \"html_url\": \"https://github.com/krlmlr\", #>       \"followers_url\": \"https://api.github.com/users/krlmlr/followers\", #>       \"following_url\": \"https://api.github.com/users/krlmlr/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/krlmlr/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 7, #>     \"created_at\": \"2022-04-30T15:42:45Z\", #>     \"updated_at\": \"2022-08-28T01:55:53Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6252\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6252\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6252.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6252.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Needs https://github.com/r-lib/pillar/pull/549.\\r\\n\\r\\nIn the example below, `speed`, `air_time` and `distance` are shown because they played a role in the `mutate()` . Normally none of these columns are visible.\\r\\n\\r\\nThe focus columns are highlighted with an underline, this formatting can't be shown in a reprex.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\nnycflights13::flights %>%\\r\\n  mutate(speed = air_time / distance)\\r\\n#> # A tibble:      336,776 × 20\\r\\n#> # Focus columns: speed, air_time, distance\\r\\n#>     year month   day dep…¹ sch…² dep…³ arr…⁴ sch…⁵ arr…⁶ air_time distance speed\\r\\n#>    <int> <int> <int> <int> <int> <dbl> <int> <int> <dbl>    <dbl>    <dbl> <dbl>\\r\\n#>  1  2013     1     1   517   515     2   830   819    11      227     1400 0.162\\r\\n#>  2  2013     1     1   533   529     4   850   830    20      227     1416 0.160\\r\\n#>  3  2013     1     1   542   540     2   923   850    33      160     1089 0.147\\r\\n#>  4  2013     1     1   544   545    -1  1004  1022   -18      183     1576 0.116\\r\\n#>  5  2013     1     1   554   600    -6   812   837   -25      116      762 0.152\\r\\n#>  6  2013     1     1   554   558    -4   740   728    12      150      719 0.209\\r\\n#>  7  2013     1     1   555   600    -5   913   854    19      158     1065 0.148\\r\\n#>  8  2013     1     1   557   600    -3   709   723   -14       53      229 0.231\\r\\n#>  9  2013     1     1   557   600    -3   838   846    -8      140      944 0.148\\r\\n#> 10  2013     1     1   558   600    -2   753   745     8      138      733 0.188\\r\\n#> # … with 336,766 more rows, abbreviated variable names ¹​dep_time,\\r\\n#> #   ²​sched_dep_time, ³​dep_delay, ⁴​arr_time, ⁵​sched_arr_time, ⁶​arr_delay, and 8\\r\\n#> #   more variables: carrier <chr>, flight <int>, tailnum <chr>, origin <chr>,\\r\\n#> #   dest <chr>, hour <dbl>, minute <dbl>, time_hour <dttm>\\r\\n```\\r\\n\\r\\n<sup>Created on 2022-04-30 by the [reprex package](https://reprex.tidyverse.org) (v2.0.1)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6252/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6252/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   } #> ]   ## Automatic pagination users <- gh(\"/users\", .limit = 50) length(users) #> [1] 50 if (FALSE) { ## Access developer preview of Licenses API (in preview as of 2015-09-24) gh(\"/licenses\") # used to error code 415 gh(\"/licenses\", .accept = \"application/vnd.github.drax-preview+json\") } if (FALSE) { ## Access Github Enterprise API ## Use GITHUB_API_URL environment variable to change the default. gh(\"/user/repos\", type = \"public\", .api_url = \"https://github.foobar.edu/api/v3\") } if (FALSE) { ## Use I() to force body part to be sent as an array, even if length 1 ## This works whether assignees has length 1 or > 1 assignees <- \"gh_user\" assignees <- c(\"gh_user1\", \"gh_user2\") gh(\"PATCH /repos/OWNER/REPO/issues/1\", assignees = I(assignees)) } if (FALSE) { ## There are two ways to send JSON data. One is that you supply one or ## more objects that will be converted to JSON automatically via ## jsonlite::toJSON(). In this case sometimes you need to use ## jsonlite::unbox() because fromJSON() creates lists from scalar vectors ## by default. The Content-Type header is automatically added in this ## case. For example this request turns on GitHub Pages, using this ## API: https://docs.github.com/v3/repos/pages/#enable-a-pages-site  gh::gh(   \"POST /repos/{owner}/{repo}/pages\",   owner = \"r-lib\",   repo = \"gh\",   source = list(     branch = jsonlite::unbox(\"gh-pages\"),     path = jsonlite::unbox(\"/\")   ),   .send_headers = c(Accept = \"application/vnd.github.switcheroo-preview+json\") )  ## The second way is to handle the JSON encoding manually, and supply it ## as a raw vector in an unnamed argument, and also a Content-Type header:  body <- '{ \"source\": { \"branch\": \"gh-pages\", \"path\": \"/\" } }' gh::gh(   \"POST /repos/{owner}/{repo}/pages\",   owner = \"r-lib\",   repo = \"gh\",   charToRaw(body),   .send_headers = c(     Accept = \"application/vnd.github.switcheroo-preview+json\",     \"Content-Type\" = \"application/json\"   ) ) }"},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":null,"dir":"Reference","previous_headings":"","what":"A simple interface for the GitHub GraphQL API v4. — gh_gql","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"See GraphQL API : https://docs.github.com/graphql","code":""},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"","code":"gh_gql(query, ...)"},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"query GraphQL query, string. ... Name-value pairs giving API parameters. matched endpoint placeholders, sent query parameters GET requests, JSON body POST requests. one unnamed parameter, raw vector, JSON encoded, sent raw data, . can used example add assets releases. Named NULL values silently dropped. GET requests, named NA values trigger error. methods, named NA values included body request, JSON null.","code":""},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"Note: pagination .limit argument work currently, pagination GraphQL API different v3 API. need pagination GraphQL, need manually.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"","code":"if (FALSE) { gh_gql(\"query { viewer { login }}\")  # Get rate limit ratelimit_query <- \"query {   viewer {     login   }   rateLimit {     limit     cost     remaining     resetAt   } }\"  gh_gql(ratelimit_query) }"},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the next, previous, first or last page of results — gh_next","title":"Get the next, previous, first or last page of results — gh_next","text":"Get next, previous, first last page results","code":""},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the next, previous, first or last page of results — gh_next","text":"","code":"gh_next(gh_response)  gh_prev(gh_response)  gh_first(gh_response)  gh_last(gh_response)"},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the next, previous, first or last page of results — gh_next","text":"gh_response object returned gh() call.","code":""},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the next, previous, first or last page of results — gh_next","text":"Answer API.","code":""},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the next, previous, first or last page of results — gh_next","text":"Note always defined. E.g. first page queried (default), first previous pages defined. next page, next page defined, etc. requested page exist, error thrown.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the next, previous, first or last page of results — gh_next","text":"","code":"x <- gh(\"/users\") vapply(x, \"[[\", character(1), \"login\") #>  [1] \"mojombo\"      \"defunkt\"      \"pjhyett\"      \"wycats\"       #>  [5] \"ezmobius\"     \"ivey\"         \"evanphx\"      \"vanpelt\"      #>  [9] \"wayneeseguin\" \"brynary\"      \"kevinclark\"   \"technoweenie\" #> [13] \"macournoyer\"  \"takeo\"        \"caged\"        \"topfunky\"     #> [17] \"anotherjesse\" \"roland\"       \"lukas\"        \"fanvsfan\"     #> [21] \"tomtt\"        \"railsjitsu\"   \"nitay\"        \"kevwil\"       #> [25] \"KirinDave\"    \"jamesgolick\"  \"atmos\"        \"errfree\"      #> [29] \"mojodna\"      \"bmizerany\"    x2 <- gh_next(x) vapply(x2, \"[[\", character(1), \"login\") #>  [1] \"jnewland\"    \"joshknowles\" \"hornbeck\"    \"jwhitmire\"   \"elbowdonkey\" #>  [6] \"reinh\"       \"knzconnor\"   \"bs\"          \"rsanheim\"    \"schacon\"     #> [11] \"uggedal\"     \"bruce\"       \"sam\"         \"mmower\"      \"abhay\"       #> [16] \"rabble\"      \"benburkert\"  \"indirect\"    \"fearoffish\"  \"ry\"          #> [21] \"engineyard\"  \"jsierles\"    \"tweibley\"    \"peimei\"      \"brixen\"      #> [26] \"tmornini\"    \"outerim\"     \"daksis\"      \"sr\"          \"lifo\""},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":null,"dir":"Reference","previous_headings":"","what":"Return GitHub user's current rate limits — gh_rate_limit","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"gh_rate_limits() reports rate limits authenticated user. gh_rate_limit() reports rate limits previous successful request. details GitHub's API rate limit policies available https://docs.github.com/v3/#rate-limiting.","code":""},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"","code":"gh_rate_limit(   response = NULL,   .token = NULL,   .api_url = NULL,   .send_headers = NULL )  gh_rate_limits(.token = NULL, .api_url = NULL, .send_headers = NULL)"},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"response gh_response object previous gh call, rate limit values determined values response header. Optional argument, missing call \"GET /rate_limit\" made. .token Authentication token. Defaults GITHUB_PAT GITHUB_TOKEN environment variables, order set. See gh_token() need flexibility, e.g. different tokens different GitHub Enterprise deployments. .api_url Github API url (default: https://api.github.com). Used endpoint just contains path. Defaults GITHUB_API_URL environment variable set. .send_headers Named character vector header field values (except Authorization, handled via .token). can used override augment default User-Agent header: \"https://github.com/r-lib/gh\".","code":""},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"list object containing overall limit, remaining limit, limit reset time.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":null,"dir":"Reference","previous_headings":"","what":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"gh can find personal access token (PAT) via gh_token(), includes PAT requests. requests succeed without PAT, many require PAT prove request authorized specific GitHub user. PAT also helps rate limiting. gh use casual, want PAT. gh calls gitcreds::gitcreds_get() api_url, checks session environment variables local Git credential store PAT appropriate api_url. Therefore, previously used PAT , e.g., command line Git, gh may retrieve re-use . can call gitcreds::gitcreds_get() directly, , want see found specific URL. matching PAT found, gitcreds::gitcreds_get() errors, whereas gh_token() , instead, returns \"\". See GitHub's documentation Creating personal access token, use usethis::create_github_token() guided experience, including pre-selection recommended scopes. PAT, can use gitcreds::gitcreds_set() add Git credential store. point , gh (via gitcreds::gitcreds_get()) able find without effort part.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"","code":"gh_token(api_url = NULL)"},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"api_url GitHub API URL. Defaults GITHUB_API_URL environment variable, set, otherwise https://api.github.com.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"string characters, PAT found, empty string, otherwise. convenience, return value S3 class order ensure simple printing strategies reveal entire PAT.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"","code":"if (FALSE) { gh_token()  format(gh_token())  str(gh_token()) }"},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the GitHub remote associated with a path — gh_tree_remote","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"handy helper want make gh requests related current project.","code":""},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"","code":"gh_tree_remote(path = \".\")"},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"path Path contained within git repo.","code":""},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"repo github remote, list containing username repo. Otherwise, error.","code":""},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"","code":"if (FALSE) { # interactive() gh_tree_remote() }"},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":null,"dir":"Reference","previous_headings":"","what":"Info on current GitHub user and token — gh_whoami","title":"Info on current GitHub user and token — gh_whoami","text":"Reports wallet name, GitHub login, GitHub URL current authenticated user, first bit token, associated scopes.","code":""},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Info on current GitHub user and token — gh_whoami","text":"","code":"gh_whoami(.token = NULL, .api_url = NULL, .send_headers = NULL)"},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Info on current GitHub user and token — gh_whoami","text":".token Authentication token. Defaults GITHUB_PAT GITHUB_TOKEN environment variables, order set. See gh_token() need flexibility, e.g. different tokens different GitHub Enterprise deployments. .api_url Github API url (default: https://api.github.com). Used endpoint just contains path. Defaults GITHUB_API_URL environment variable set. .send_headers Named character vector header field values (except Authorization, handled via .token). can used override augment default User-Agent header: \"https://github.com/r-lib/gh\".","code":""},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Info on current GitHub user and token — gh_whoami","text":"gh_response object, also list.","code":""},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Info on current GitHub user and token — gh_whoami","text":"Get personal access token GitHub API https://github.com/settings/tokens select scopes necessary planned tasks. repo scope, example, one many likely need. macOS Windows best store token git credential store, GitHub clients, including gh, can access . can use gitcreds package add token credential store:   See https://gh.r-lib.org/articles/managing-personal-access-tokens.html https://usethis.r-lib.org/articles/articles/git-credentials.html managing GitHub (generic git) credentials. systems, including Linux, git credential store typically convenient, might want store token GITHUB_PAT environment variable, can set .Renviron file.","code":"gitcreds::gitcreds_set()"},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Info on current GitHub user and token — gh_whoami","text":"","code":"gh_whoami() #> Error in gh(endpoint = \"/user\", .token = .token, .api_url = .api_url,     .send_headers = .send_headers): GitHub API error (403): Resource not accessible by integration #> ℹ Read more at #>   <https://docs.github.com/rest/reference/users#get-the-authenticated-user> if (FALSE) { ## explicit token + use with GitHub Enterprise gh_whoami(   .token = \"8c70fd8419398999c9ac5bacf3192882193cadf2\",   .api_url = \"https://github.foobar.edu/api/v3\" ) }"},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":null,"dir":"Reference","previous_headings":"","what":"Print the result of a GitHub API call — print.gh_response","title":"Print the result of a GitHub API call — print.gh_response","text":"Print result GitHub API call","code":""},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print the result of a GitHub API call — print.gh_response","text":"","code":"# S3 method for gh_response print(x, ...)"},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print the result of a GitHub API call — print.gh_response","text":"x result object. ... Ignored.","code":""},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print the result of a GitHub API call — print.gh_response","text":"JSON result.","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-140","dir":"Changelog","previous_headings":"","what":"gh 1.4.0","title":"gh 1.4.0","text":"CRAN release: 2023-02-22 gh() gains new .max_rate parameter sets maximum number requests per second. gh now powered httr2. generally little impact normal operation request fails, can use httr2::last_response() httr2::last_request() debug. gh() gains new .max_wait argument gives maximum number minutes wait rate limited (#67). New gh_rate_limits() function reports rate limits active user. gh can now validate GitHub fine-grained personal access tokens (@jvstein, #171).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-131","dir":"Changelog","previous_headings":"","what":"gh 1.3.1","title":"gh 1.3.1","text":"CRAN release: 2022-09-08 gh now accepts lower-case methods .e. gh::gh(\"get /users/hadley/repos\") gh::gh(\"GET /users/hadley/repos\") work (@maelle, #167). Response headers (\"response_headers\") response content (\"response_content\") now returned error conditions error handlers can use information, rate limit reset header, handling github_errors (@gadenbuie, #117).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-130","dir":"Changelog","previous_headings":"","what":"gh 1.3.0","title":"gh 1.3.0","text":"CRAN release: 2021-04-30 gh now shows correct number records progress bar paginating (#147). New .params argument gh() make easier pass parameters programmatically (#140).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-121","dir":"Changelog","previous_headings":"","what":"gh 1.2.1","title":"gh 1.2.1","text":"CRAN release: 2021-04-01 Token validation accounts new format announced 2021-03-04 implemented 2021-04-01 (#148, @fmichonneau).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-120","dir":"Changelog","previous_headings":"","what":"gh 1.2.0","title":"gh 1.2.0","text":"CRAN release: 2020-11-27 gh_gql() now passes arguments gh() (#124). gh now handles responses pagination better, tries properly merge (#136, @rundel). gh can retrieve PAT Git credential store, lookup based targeted API URL. now uses gitcreds package. environment variables consulted URL-specific GitHub PATs changed. “https://api.github.com”: GITHUB_PAT_GITHUB_COM now, instead GITHUB_PAT_API_GITHUB_COM “https://github.acme.com/api/v3”: GITHUB_PAT_GITHUB_ACME_COM now, instead GITHUB_PAT_GITHUB_ACME_COM_API_V3 See documentation gitcreds package details. keyring package longer used, favor Git credential store. documentation GitHub REST API moved https://docs.github.com/rest endpoints now documented using URI template style RFC 6570: Old: GET /repos/:owner/:repo/issues New: GET /repos/{owner}/{repo}/issues gh accepts prioritizes new style. However, still parameter substitution old style. Fixed error occurred calling gh() .progress = FALSE (@gadenbuie, #115). gh() accepts named NA parameters destined request body (#139).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-110","dir":"Changelog","previous_headings":"","what":"gh 1.1.0","title":"gh 1.1.0","text":"CRAN release: 2020-01-24 Raw responses GitHub now returned raw vector. Responses may written disk providing path .destfile argument. gh now sets .Last.error error object uncaught error, .Last.error.trace stack trace error. gh() now silently drops named NULL parameters, throws error named NA parameters (#21, #84). gh() now returns better values empty responses, typically empty lists dictionaries (#66). gh() now .accept argument make easier set Accept HTTP header (#91). New gh_gql() function make easier work GitHub GraphQL API. gh now supports separate personal access tokens GitHub Enterprise sites. See ?gh_token details. gh now supports storing GitHub personal access tokens (PAT) system keyring, via keyring package. See ?gh_token details. gh() can now POST raw data, allows adding assets releases (#56).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-101","dir":"Changelog","previous_headings":"","what":"gh 1.0.1","title":"gh 1.0.1","text":"CRAN release: 2017-07-16 First public release.","code":""}]
+[{"path":[]},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement codeofconduct@posit.co. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://gh.r-lib.org/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired [Mozilla’s code conduct enforcement ladder][https://github.com/mozilla/inclusion]. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://gh.r-lib.org/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2023 gh authors Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"pat-and-host","dir":"Articles","previous_headings":"","what":"PAT and host","title":"Managing Personal Access Tokens","text":"gh::gh() allows user provide PAT via .token argument specify host “github.com” via .api_url argument. (companies universities run instance GitHub Enterprise.) However, ’s annoying always provide PAT host ’s unsafe PAT appear explicitly R code. ’s important make possible user provide PAT /API URL directly, rarely necessary. gh::gh() designed play well secure, less fiddly methods expressing want. .api_url .token determined user provide ? .api_url defaults value GITHUB_API_URL environment variable , unset, falls back \"https://api.github.com\". always done worrying PAT. PAT obtained via call gh_token(.api_url). , token looked based host.","code":"gh(endpoint, ..., .token = NULL, ..., .api_url = NULL, ...)"},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"the-gitcreds-package","dir":"Articles","previous_headings":"","what":"The gitcreds package","title":"Managing Personal Access Tokens","text":"gh now uses gitcreds package interact Git credential store. gh calls gitcreds::gitcreds_get() URL try find matching PAT. gitcreds::gitcreds_get() checks session environment variables local Git credential store. Therefore, previously used PAT , e.g., command line Git, gh may retrieve re-use . can call gitcreds::gitcreds_get() directly, , want see found specific URL. see something like : means gitcreds get PAT Git credential store. can call gitcreds_get()$password see actual PAT. matching PAT found, gitcreds::gitcreds_get() errors.","code":"gitcreds::gitcreds_get() #> <gitcreds> #>   protocol: https #>   host    : github.com #>   username: PersonalAccessToken #>   password: <-- hidden -->"},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"pat-in-an-environment-variable","dir":"Articles","previous_headings":"","what":"PAT in an environment variable","title":"Managing Personal Access Tokens","text":"don’t Git installation, Git installation working credential store, can specify PAT environment variable. github.com can set GITHUB_PAT_GITHUB_COM GITHUB_PAT variable. different GitHub host, call gitcreds::gitcreds_cache_envvar() API URL see environment variable need set. example:","code":"gitcreds::gitcreds_cache_envvar(\"https://github.acme.com\") #> [1] \"GITHUB_PAT_GITHUB_ACME_COM\""},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"recommendations","dir":"Articles","previous_headings":"","what":"Recommendations","title":"Managing Personal Access Tokens","text":"machine used interactive development, recommend: Store PAT(s) official credential store. store PAT(s) plain text , e.g., .Renviron. past, common recommended practice pragmatic reasons. However, gitcreds/gh now evolved point ’s possible us follow better security practices. use general-purpose password manager, like 1Password LastPass, may also want store PAT(s) . ? PAT “forgotten” OS-level credential store, intentionally , ’ll need provide prompted. don’t record PAT, ’ll get new PAT whenever happens. end world. aren’t disciplined deleting lost PATs https://github.com/settings/tokens, eventually find confusing situation can’t sure PAT(s) use. headless system, CI/CD platform, provide necessary PAT(s) via secure environment variables. Regular environment variables can used configure less sensitive settings, API host. Don’t expose PAT something silly like dumping environment variables log file. Note GitHub Actions, specifically, personal access token automatically available workflow GITHUB_TOKEN secret. many workflows R community contain snippet: makes automatic PAT available GITHUB_PAT environment variable. PAT doesn’t right permissions, ’ll need explicitly provide one (see link ).","code":"env:   GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}"},{"path":"https://gh.r-lib.org/articles/managing-personal-access-tokens.html","id":"failure","dir":"Articles","previous_headings":"","what":"Failure","title":"Managing Personal Access Tokens","text":"PAT , gh::gh() sends request token. (Internally, Authorization header omitted PAT found empty string, \"\".) PAT-related failures look like? PAT sent endpoint requires auth, request probably succeeds! least run rate limits. endpoint requires auth, ’ll get HTTP error, possibly one: PAT first discovered environment variable, taken face value. two common ways arrive PAT specification via .Renviron secret CI/CD platform, GitHub Actions. PAT invalid, first affected request fail, probably like : also experience invalid PAT provided directly via .token. Even valid PAT can lead downstream error, insufficient scopes respect specific request.","code":"GitHub API error (401): 401 Unauthorized Message: Requires authentication GitHub API error (401): 401 Unauthorized Message: Bad credentials"},{"path":"https://gh.r-lib.org/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Gábor Csárdi. Maintainer, contributor. Jennifer Bryan. Author. Hadley Wickham. Author. . Copyright holder, funder.","code":""},{"path":"https://gh.r-lib.org/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Bryan J, Wickham H (2023). gh: 'GitHub' 'API'. R package version 1.4.0, https://github.com/r-lib/gh#readme, https://gh.r-lib.org/.","code":"@Manual{,   title = {gh: 'GitHub' 'API'},   author = {Jennifer Bryan and Hadley Wickham},   year = {2023},   note = {R package version 1.4.0, https://github.com/r-lib/gh#readme},   url = {https://gh.r-lib.org/}, }"},{"path":"https://gh.r-lib.org/index.html","id":"gh","dir":"","previous_headings":"","what":"GitHub API","title":"GitHub API","text":"Minimalistic client access GitHub’s REST GraphQL APIs.","code":""},{"path":"https://gh.r-lib.org/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"GitHub API","text":"Install package CRAN usual:","code":"install.packages(\"gh\")"},{"path":"https://gh.r-lib.org/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"GitHub API","text":"Use gh() function access API endpoints. endpoints listed documentation. first argument gh() endpoint. can just copy paste API endpoints documentation. Note leading slash must included well. https://docs.github.com/rest/reference/repos#list-repositories---user can copy paste GET /users/{username}/repos gh() call. E.g. JSON result sent API converted R object. Parameters can passed extra arguments. E.g.","code":"library(gh) my_repos <- gh(\"GET /users/{username}/repos\", username = \"gaborcsardi\") vapply(my_repos, \"[[\", \"\", \"name\") #>  [1] \"after\"                \"alexr\"                \"all.primer.tutorials\" #>  [4] \"altlist\"              \"argufy\"               \"ask\"                  #>  [7] \"async\"                \"BCEA\"                 \"BH\"                   #> [10] \"brokenPackage\"        \"butcher\"              \"css\"                  #> [13] \"curl\"                 \"disposables\"          \"dotenv\"               #> [16] \"falsy\"                \"finmix\"               \"foobar\"               #> [19] \"franc\"                \"fswatch\"              \"guildai-r\"            #> [22] \"httpgd\"               \"installgithub.app\"    \"ISA\"                  #> [25] \"isa2\"                 \"josaplay\"             \"keynote\"              #> [28] \"keypress\"             \"log\"                  \"lpSolve\" my_repos <- gh(   \"/users/{username}/repos\",   username = \"gaborcsardi\",   sort = \"created\") vapply(my_repos, \"[[\", \"\", \"name\") #>  [1] \"isa2\"                   \"r-builds\"               \"sos\"                    #>  [4] \"SCAVENGE\"               \"rworkflows\"             \"r-bugs\"                 #>  [7] \"josaplay\"               \"all.primer.tutorials\"   \"neartools\"              #> [10] \"REDCapTidieR\"           \"guildai-r\"              \"BH\"                     #> [13] \"testrtools\"             \"vt-rs\"                  \"testpaktestthat\"        #> [16] \"httpgd\"                 \"BCEA\"                   \"monorepo\"               #> [19] \"pacman\"                 \"tiff\"                   \"tidyclust\"              #> [22] \"testCheckForceSuggests\" \"naomi\"                  \"rstudio\"                #> [25] \"butcher\"                \"foobar\"                 \"roxydemo\"               #> [28] \"log\"                    \"rtools-packages\"        \"r-builds-original\""},{"path":"https://gh.r-lib.org/index.html","id":"post-patch-put-and-delete-requests","dir":"","previous_headings":"Usage","what":"POST, PATCH, PUT and DELETE requests","title":"GitHub API","text":"POST, PATCH, PUT, DELETE requests can sent including HTTP verb endpoint, first argument. E.g. create repository: delete :","code":"new_repo <- gh(\"POST /user/repos\", name = \"my-new-repo-for-gh-testing\") gh(\"DELETE /repos/{owner}/{repo}\", owner = \"gaborcsardi\",    repo = \"my-new-repo-for-gh-testing\")"},{"path":"https://gh.r-lib.org/index.html","id":"tokens","dir":"","previous_headings":"Usage","what":"Tokens","title":"GitHub API","text":"default GITHUB_PAT environment variable used. Alternatively, one can set .token argument gh().","code":""},{"path":"https://gh.r-lib.org/index.html","id":"pagination","dir":"","previous_headings":"Usage","what":"Pagination","title":"GitHub API","text":"Supply page parameter get subsequent pages:","code":"my_repos2 <- gh(\"GET /orgs/{org}/repos\", org = \"r-lib\", page = 2) vapply(my_repos2, \"[[\", \"\", \"name\") #>  [1] \"sodium\"      \"gargle\"      \"remotes\"     \"jose\"        \"backports\"   #>  [6] \"rcmdcheck\"   \"vdiffr\"      \"callr\"       \"mockery\"     \"here\"        #> [11] \"revdepcheck\" \"processx\"    \"vctrs\"       \"debugme\"     \"usethis\"     #> [16] \"rlang\"       \"pkgload\"     \"httrmock\"    \"pkgbuild\"    \"prettycode\"  #> [21] \"roxygen2md\"  \"pkgapi\"      \"zeallot\"     \"liteq\"       \"keyring\"     #> [26] \"sloop\"       \"styler\"      \"ansistrings\" \"archive\"     \"later\""},{"path":"https://gh.r-lib.org/index.html","id":"environment-variables","dir":"","previous_headings":"","what":"Environment Variables","title":"GitHub API","text":"GITHUB_API_URL environment variable used default github api url. One GITHUB_PAT GITHUB_TOKEN environment variables used, order, default token.","code":""},{"path":"https://gh.r-lib.org/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"GitHub API","text":"Please note gh project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"https://gh.r-lib.org/index.html","id":"license","dir":"","previous_headings":"","what":"License","title":"GitHub API","text":"MIT © Gábor Csárdi, Jennifer Bryan, Hadley Wickham","code":""},{"path":"https://gh.r-lib.org/reference/gh-package.html","id":null,"dir":"Reference","previous_headings":"","what":"gh: 'GitHub' 'API' — gh-package","title":"gh: 'GitHub' 'API' — gh-package","text":"Minimal client access 'GitHub' 'API'.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"gh: 'GitHub' 'API' — gh-package","text":"Maintainer: Gábor Csárdi csardi.gabor@gmail.com [contributor] Authors: Jennifer Bryan Hadley Wickham contributors: Posit Software, PBC [copyright holder, funder]","code":""},{"path":"https://gh.r-lib.org/reference/gh.html","id":null,"dir":"Reference","previous_headings":"","what":"Query the GitHub API — gh","title":"Query the GitHub API — gh","text":"extremely minimal client. need know API able use client. function : Try substitute listed parameter endpoint, using {parameter} notation. GET request (default), add listed parameters query parameters. GET request, send parameters request body, JSON. Convert response R list using jsonlite::fromJSON().","code":""},{"path":"https://gh.r-lib.org/reference/gh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Query the GitHub API — gh","text":"","code":"gh(   endpoint,   ...,   per_page = NULL,   .token = NULL,   .destfile = NULL,   .overwrite = FALSE,   .api_url = NULL,   .method = \"GET\",   .limit = NULL,   .accept = \"application/vnd.github.v3+json\",   .send_headers = NULL,   .progress = TRUE,   .params = list(),   .max_wait = 600,   .max_rate = NULL )"},{"path":"https://gh.r-lib.org/reference/gh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Query the GitHub API — gh","text":"endpoint GitHub API endpoint. Must one following forms: METHOD path, e.g. GET /rate_limit, path, e.g. /rate_limit, METHOD url, e.g. GET https://api.github.com/rate_limit, url, e.g. https://api.github.com/rate_limit. method supplied, use .method, defaults \"GET\". ... Name-value pairs giving API parameters. matched endpoint placeholders, sent query parameters GET requests, JSON body POST requests. one unnamed parameter, raw vector, JSON encoded, sent raw data, . can used example add assets releases. Named NULL values silently dropped. GET requests, named NA values trigger error. methods, named NA values included body request, JSON null. per_page Number items return per page. omitted, substituted max(.limit, 100) .limit set, otherwise determined API (never greater 100). .token Authentication token. Defaults GITHUB_PAT GITHUB_TOKEN environment variables, order set. See gh_token() need flexibility, e.g. different tokens different GitHub Enterprise deployments. .destfile Path write response disk. NULL (default), response processed returned object. path given, response written disk form sent. .overwrite .destfile provided, whether overwrite existing file.  Defaults FALSE. .api_url Github API url (default: https://api.github.com). Used endpoint just contains path. Defaults GITHUB_API_URL environment variable set. .method HTTP method use explicitly supplied endpoint. .limit Number records return. can used instead manual pagination. default NULL, means defaults GitHub API used. can set number request (less) records, also Inf request records. Note, request many records, multiple GitHub API calls used get , can take potentially long time. .accept value Accept HTTP header. Defaults \"application/vnd.github.v3+json\" . Accept given .send_headers, used. parameter can used provide custom media type, order access preview feature API. .send_headers Named character vector header field values (except Authorization, handled via .token). can used override augment default User-Agent header: \"https://github.com/r-lib/gh\". .progress Whether show progress indicator calls need one HTTP request. .params Additional list parameters append .... easier use ... parameters list already. .max_wait Maximum number seconds wait rate limited. Defaults 10 minutes. .max_rate Maximum request rate requests per second. Set automatically throttle requests.","code":""},{"path":"https://gh.r-lib.org/reference/gh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Query the GitHub API — gh","text":"Answer API gh_response object, also list. Failed requests generate R error. Requests generate raw response return raw vector.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Query the GitHub API — gh","text":"","code":"## Repositories of a user, these are equivalent gh(\"/users/hadley/repos\", .limit = 2) #> [ #>   { #>     \"id\": 40423928, #>     \"node_id\": \"MDEwOlJlcG9zaXRvcnk0MDQyMzkyOA==\", #>     \"name\": \"15-state-of-the-union\", #>     \"full_name\": \"hadley/15-state-of-the-union\", #>     \"private\": false, #>     \"owner\": { #>       \"login\": \"hadley\", #>       \"id\": 4196, #>       \"node_id\": \"MDQ6VXNlcjQxOTY=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/4196?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/hadley\", #>       \"html_url\": \"https://github.com/hadley\", #>       \"followers_url\": \"https://api.github.com/users/hadley/followers\", #>       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https://github.com/r-lib/vctrs/pull/1847)\\r\\n\\r\\nIn https://github.com/tidyverse/dplyr/issues/6525#issuecomment-1303619152, we discovered that one of the places that duckplyr's ALTREP row names are being triggered is in `attributes()`, called on the `template` argument of `dplyr_reconstruct()`. Calling `attributes()` will try and expand internally compact row names (i.e. `c(NA, -5)`) into an ALTREP integer sequence https://github.com/wch/r-source/blob/69b94f0c8ce9b2497f6d7a81922575f6c585b713/src/main/attrib.c#L176-L177. This avoids leaking this internal detail to most users. But this requires calling `INTEGER()` or `INTEGER_ELT()` on the row names object. For duckplyr's lazy queries, which don't know the resulting number of rows until it happens, that is enough to trigger the lazy query.\\r\\n\\r\\nWhile working on this, I also discovered that `attributes<-()` is also a problem. It also has special behavior where it tries to _create_ this internal compact row names representation during the setting process https://github.com/wch/r-source/blob/69b94f0c8ce9b2497f6d7a81922575f6c585b713/src/main/attrib.c#L57. Again, this requires looking at `INTEGER()`. So if `data` had duckplyr ALTREP row names, then it would trigger the query upon reconstruction too.\\r\\n\\r\\nI think the best solution for this is to come up with our own attribute getter / setter helpers that try and mimic most of what `do_attributes()` and `do_attributesgets()` do, but with special casing for row names. We could avoid the two helpers and just manipulate the underlying pairlists directly with a \\\"copy most attributes\\\" style helper, but I feel like we may need something like these helpers in the future, and it seemed a little cleaner to me to be able to expose these on the R side, as you get precise control over what \\\"most attributes\\\" means (here, everything but names and row names).\\r\\n\\r\\nUp until now, this has been managed in duckplyr itself, but we think it should live here so duckplyr can remove its C code.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6946\", #>     \"id\": 1966458349, #>     \"node_id\": \"I_kwDOAGIUpc51NcXt\", #>     \"number\": 6946, #>     \"title\": \"`slice_sample()` shows strange suggestion when called with namespace\", #>     \"user\": { #>       \"login\": \"psychelzh\", #>       \"id\": 13306020, #>       \"node_id\": \"MDQ6VXNlcjEzMzA2MDIw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/13306020?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/psychelzh\", #>       \"html_url\": \"https://github.com/psychelzh\", #>       \"followers_url\": \"https://api.github.com/users/psychelzh/followers\", #>       \"following_url\": \"https://api.github.com/users/psychelzh/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/psychelzh/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/psychelzh/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/psychelzh/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/psychelzh/orgs\", #>       \"repos_url\": \"https://api.github.com/users/psychelzh/repos\", #>       \"events_url\": \"https://api.github.com/users/psychelzh/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/psychelzh/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-10-28T06:17:30Z\", #>     \"updated_at\": \"2023-10-28T06:21:17Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"The error is simple as the follow:\\r\\n\\r\\n``` r\\r\\ndplyr::slice_sample(data.frame(x = 1:100), 10)\\r\\n#> Error in `dplyr::slice_sample()`:\\r\\n#> ! `n` must be explicitly named.\\r\\n#> Did you mean `::(n = 10)`?\\r\\n#> Did you mean `dplyr(n = 10)`?\\r\\n#> Did you mean `slice_sample(n = 10)`?\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. └─dplyr::slice_sample(data.frame(x = 1:100), 10)\\r\\n#>  2.   └─dplyr:::check_slice_unnamed_n_prop(..., n = n, prop = prop)\\r\\n#>  3.     └─rlang::abort(bullets, call = error_call)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-28 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6945\", #>     \"id\": 1964318347, #>     \"node_id\": \"I_kwDOAGIUpc51FR6L\", #>     \"number\": 6945, #>     \"title\": \"`rename_with()` errors when no match/clarity of error message\", #>     \"user\": { #>       \"login\": \"asadow\", #>       \"id\": 40274818, #>       \"node_id\": \"MDQ6VXNlcjQwMjc0ODE4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/40274818?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/asadow\", #>       \"html_url\": \"https://github.com/asadow\", #>       \"followers_url\": \"https://api.github.com/users/asadow/followers\", #>       \"following_url\": \"https://api.github.com/users/asadow/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/asadow/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/asadow/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/asadow/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/asadow/orgs\", #>       \"repos_url\": \"https://api.github.com/users/asadow/repos\", #>       \"events_url\": \"https://api.github.com/users/asadow/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/asadow/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-26T20:25:37Z\", #>     \"updated_at\": \"2023-10-26T20:25:37Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I thought I could use map over a list of data frames to rename them using `rename_with()` and a tidyselector like `matches()`, whether or not each data frame has a matching column name. Now it looks as though that is not longer possible (#6688). \\r\\n\\r\\nThat's all fine and good. Now I see I can just use `rename()`, which does not error. But I think the error for `rename_with()` could be more clear by saying that there is no match. \\r\\n\\r\\nLastly, I'm curious: why the difference in erroring vs. not between `rename()` and `rename_with()`?\\r\\n\\r\\n``` r\\r\\nlibrary(tidyverse)\\r\\n\\r\\n# No error\\r\\nmtcars |> rename(\\\"joe\\\" = matches(\\\"qwerty\\\")) |> head(1)\\r\\n#>           mpg cyl disp  hp drat   wt  qsec vs am gear carb\\r\\n#> Mazda RX4  21   6  160 110  3.9 2.62 16.46  0  1    4    4\\r\\n\\r\\n# Hinting error\\r\\nmtcars |> rename_with(~ \\\"joe\\\", qwerty)\\r\\n#> Error in `rename_with()`:\\r\\n#> ! Can't subset columns that don't exist.\\r\\n#> ✖ Column `qwerty` doesn't exist.\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─dplyr::rename_with(mtcars, ~\\\"joe\\\", qwerty)\\r\\n#>   2. ├─dplyr:::rename_with.data.frame(mtcars, ~\\\"joe\\\", qwerty)\\r\\n#>   3. │ └─tidyselect::eval_select(enquo(.cols), .data, allow_rename = FALSE)\\r\\n#>   4. │   └─tidyselect:::eval_select_impl(...)\\r\\n#>   5. │     ├─tidyselect:::with_subscript_errors(...)\\r\\n#>   6. │     │ └─rlang::try_fetch(...)\\r\\n#>   7. │     │   └─base::withCallingHandlers(...)\\r\\n#>   8. │     └─tidyselect:::vars_select_eval(...)\\r\\n#>   9. │       └─tidyselect:::walk_data_tree(expr, data_mask, context_mask)\\r\\n#>  10. │         └─tidyselect:::as_indices_sel_impl(...)\\r\\n#>  11. │           └─tidyselect:::as_indices_impl(...)\\r\\n#>  12. │             └─tidyselect:::chr_as_locations(x, vars, call = call, arg = arg)\\r\\n#>  13. │               └─vctrs::vec_as_location(...)\\r\\n#>  14. └─vctrs (local) `<fn>`()\\r\\n#>  15.   └─vctrs:::stop_subscript_oob(...)\\r\\n#>  16.     └─vctrs:::stop_subscript(...)\\r\\n#>  17.       └─rlang::abort(...)\\r\\n\\r\\n# Less helpful error\\r\\nmtcars |> rename_with(~ \\\"joe\\\", matches(\\\"qwerty\\\"))\\r\\n#> Error in `rename_with()`:\\r\\n#> ! `.fn` must return a vector of length 0, not 1.\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. ├─dplyr::rename_with(mtcars, ~\\\"joe\\\", matches(\\\"qwerty\\\"))\\r\\n#>  2. └─dplyr:::rename_with.data.frame(mtcars, ~\\\"joe\\\", matches(\\\"qwerty\\\"))\\r\\n#>  3.   └─cli::cli_abort(\\\"{.arg .fn} must return a vector of length {length(sel)}, not {length(new)}.\\\")\\r\\n#>  4.     └─rlang::abort(...)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-26 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6943\", #>     \"id\": 1961317705, #>     \"node_id\": \"I_kwDOAGIUpc5051VJ\", #>     \"number\": 6943, #>     \"title\": \"condition handling ignores locally set options\", #>     \"user\": { #>       \"login\": \"moodymudskipper\", #>       \"id\": 18351714, #>       \"node_id\": \"MDQ6VXNlcjE4MzUxNzE0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18351714?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/moodymudskipper\", #>       \"html_url\": \"https://github.com/moodymudskipper\", #>       \"followers_url\": \"https://api.github.com/users/moodymudskipper/followers\", #>       \"following_url\": \"https://api.github.com/users/moodymudskipper/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/moodymudskipper/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/moodymudskipper/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/moodymudskipper/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/moodymudskipper/orgs\", #>       \"repos_url\": \"https://api.github.com/users/moodymudskipper/repos\", #>       \"events_url\": \"https://api.github.com/users/moodymudskipper/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/moodymudskipper/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-25T12:33:55Z\", #>     \"updated_at\": \"2023-10-25T12:33:55Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Maybe because of a delayed evaluation issue ?\\r\\n\\r\\n``` r\\r\\nbugged <- function() {\\r\\n  withr::local_options(warn = 2)\\r\\n  rlang::warn(\\\"oops\\\") # or warning(\\\"oops\\\")\\r\\n  24\\r\\n}\\r\\n\\r\\n# as expected\\r\\n\\r\\nbugged()\\r\\n#> Error: (converted from warning) oops\\r\\nsubset(cars, speed == bugged())\\r\\n#> Error: (converted from warning) oops\\r\\n\\r\\n# unexpected\\r\\n\\r\\ndplyr::filter(cars, speed == bugged())\\r\\n#> Warning: There was 1 warning in `dplyr::filter()`.\\r\\n#> ℹ In argument: `speed == bugged()`.\\r\\n#> Caused by warning:\\r\\n#> ! oops\\r\\n#>   speed dist\\r\\n#> 1    24   70\\r\\n#> 2    24   92\\r\\n#> 3    24   93\\r\\n#> 4    24  120\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-25 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6942\", #>     \"id\": 1951021595, #>     \"node_id\": \"PR_kwDOAGIUpc5dNZSf\", #>     \"number\": 6942, #>     \"title\": \"Uptaded documentation on rows_append and rows_insert, issue #6864\", #>     \"user\": { #>       \"login\": \"hsalberti\", #>       \"id\": 76076260, #>       \"node_id\": \"MDQ6VXNlcjc2MDc2MjYw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/76076260?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/hsalberti\", #>       \"html_url\": \"https://github.com/hsalberti\", #>       \"followers_url\": \"https://api.github.com/users/hsalberti/followers\", #>       \"following_url\": \"https://api.github.com/users/hsalberti/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/hsalberti/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/hsalberti/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/hsalberti/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/hsalberti/orgs\", #>       \"repos_url\": \"https://api.github.com/users/hsalberti/repos\", #>       \"events_url\": \"https://api.github.com/users/hsalberti/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/hsalberti/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-19T01:34:19Z\", #>     \"updated_at\": \"2023-10-19T01:34:19Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6942\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6942\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6942.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6942.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"https://github.com/tidyverse/dplyr/issues/6864\\r\\nSolved this issue! Looking forward for a response\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6940\", #>     \"id\": 1940781206, #>     \"node_id\": \"I_kwDOAGIUpc5zrfiW\", #>     \"number\": 6940, #>     \"title\": \"`arrange()` not warning on `!!` like `all_of()`\", #>     \"user\": { #>       \"login\": \"asadow\", #>       \"id\": 40274818, #>       \"node_id\": \"MDQ6VXNlcjQwMjc0ODE4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/40274818?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/asadow\", #>       \"html_url\": \"https://github.com/asadow\", #>       \"followers_url\": \"https://api.github.com/users/asadow/followers\", #>       \"following_url\": \"https://api.github.com/users/asadow/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/asadow/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/asadow/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/asadow/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/asadow/orgs\", #>       \"repos_url\": \"https://api.github.com/users/asadow/repos\", #>       \"events_url\": \"https://api.github.com/users/asadow/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/asadow/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-10-12T20:56:00Z\", #>     \"updated_at\": \"2023-10-26T09:52:15Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"`!!` inside `arrange()` is not warning like `all_of()`\\r\\n\\r\\nAside: I was surprised to see the lack of tidyselect for `arrange()`. Is the reason documented somewhere? It is not in [the tidyselect 1.2.0 blog post](https://www.tidyverse.org/blog/2022/10/tidyselect-1-2-0/).\\r\\n\\r\\n``` r\\r\\nlibrary(tidyverse)\\r\\ndf <- tibble(x = 2:1)\\r\\nw <- \\\"x\\\"\\r\\ndf |> arrange(.data[[w]])\\r\\n#> # A tibble: 2 × 1\\r\\n#>       x\\r\\n#>   <int>\\r\\n#> 1     1\\r\\n#> 2     2\\r\\ndf |> arrange(!!w)\\r\\n#> # A tibble: 2 × 1\\r\\n#>       x\\r\\n#>   <int>\\r\\n#> 1     2\\r\\n#> 2     1\\r\\ndf |> arrange(all_of(w))\\r\\n#> Warning: There was 1 warning in `arrange()`.\\r\\n#> ℹ In argument: `..1 = all_of(w)`.\\r\\n#> Caused by warning:\\r\\n#> ! Using `all_of()` outside of a selecting function was deprecated in tidyselect\\r\\n#>   1.2.0.\\r\\n#> ℹ See details at\\r\\n#>   <https://tidyselect.r-lib.org/reference/faq-selection-context.html>\\r\\n#> # A tibble: 2 × 1\\r\\n#>       x\\r\\n#>   <int>\\r\\n#> 1     2\\r\\n#> 2     1\\r\\ndf |> arrange(!!.env$w)\\r\\n#> Error in eval(expr, envir, enclos): object '.env' not found\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-12 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6939\", #>     \"id\": 1935721054, #>     \"node_id\": \"I_kwDOAGIUpc5zYMJe\", #>     \"number\": 6939, #>     \"title\": \"`Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE)`: cli_warn together with dplyr grouping results in error.\", #>     \"user\": { #>       \"login\": \"lschneiderbauer\", #>       \"id\": 422100, #>       \"node_id\": \"MDQ6VXNlcjQyMjEwMA==\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/422100?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/lschneiderbauer\", #>       \"html_url\": \"https://github.com/lschneiderbauer\", #>       \"followers_url\": \"https://api.github.com/users/lschneiderbauer/followers\", #>       \"following_url\": \"https://api.github.com/users/lschneiderbauer/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/lschneiderbauer/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/lschneiderbauer/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/lschneiderbauer/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/lschneiderbauer/orgs\", #>       \"repos_url\": \"https://api.github.com/users/lschneiderbauer/repos\", #>       \"events_url\": \"https://api.github.com/users/lschneiderbauer/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/lschneiderbauer/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-10T16:09:09Z\", #>     \"updated_at\": \"2023-10-10T16:09:09Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Hi,\\r\\n\\r\\nit took me a while to get to this (very artificial) reduced example, but I managed to get it: For some reason, using `cli::warn()` inside a nested and grouped mutate function results in the described error.\\r\\n\\r\\nRemoving `cli_warn()` also removes the error and results in a sane answer.\\r\\n\\r\\nI am using R 4.2.1, with dplyr 1.1.3 and cli 3.6.1.\\r\\n\\r\\n---\\r\\n\\r\\nBrief description of the problem\\r\\n\\r\\n``` r\\r\\nlibrary(cli)\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attache Paket: 'dplyr'\\r\\n#> Die folgenden Objekte sind maskiert von 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> Die folgenden Objekte sind maskiert von 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n\\r\\nsome_warning <- function() {\\r\\n  cli::cli_warn(\\\"some warning\\\")\\r\\n  return(1)\\r\\n}\\r\\n\\r\\ncreate_new_col <- function() {\\r\\n  tibble(col = TRUE) |>\\r\\n    mutate(\\r\\n      new_col = some_warning(),\\r\\n      .by = col\\r\\n    ) |>\\r\\n    pull(new_col)\\r\\n}\\r\\n\\r\\ntibble(group = TRUE) |>\\r\\n  mutate(new_col = create_new_col(), .by = group)\\r\\n#> Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE): Werte müssen die Länge 1 haben,\\r\\n#> Ergebnis von FUN(X[[1]]) hat aber Länge 0\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-10 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6938\", #>     \"id\": 1931984400, #>     \"node_id\": \"PR_kwDOAGIUpc5cM9Bz\", #>     \"number\": 6938, #>     \"title\": \"`starwars` data - Replace defunct API\", #>     \"user\": { #>       \"login\": \"steveharoz\", #>       \"id\": 2257540, #>       \"node_id\": \"MDQ6VXNlcjIyNTc1NDA=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/2257540?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/steveharoz\", #>       \"html_url\": \"https://github.com/steveharoz\", #>       \"followers_url\": \"https://api.github.com/users/steveharoz/followers\", #>       \"following_url\": \"https://api.github.com/users/steveharoz/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/steveharoz/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/steveharoz/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/steveharoz/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/steveharoz/orgs\", #>       \"repos_url\": \"https://api.github.com/users/steveharoz/repos\", #>       \"events_url\": \"https://api.github.com/users/steveharoz/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/steveharoz/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-08T18:17:10Z\", #>     \"updated_at\": \"2023-10-15T07:22:08Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6938\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6938\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6938.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6938.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"1. The API used to generate the `starwars` data is no longer operational. I found 2 possible replacements (https://swapi.dev/about and https://swapi.py4e.com/about). The py4e site was more complete, so I used that one.\\r\\n2. A typo was pointed out in #6840. The issue was fixed in swapi.dev but not in swapi.py4e.com, so I just fixed it myself in the code.\\r\\n3. One character's details (Jek Tono Porkins) were missing from the new API, so I added them in code using the old data.\\r\\n4. The order of the films was arbitrary in the old API. The new API sorts it by release date. (This is the bulk of the diff)\\r\\n5. There are only very minor changes to the other data coming from the new API. So there shouldn't be much impact.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6937\", #>     \"id\": 1931463299, #>     \"node_id\": \"PR_kwDOAGIUpc5cLR4K\", #>     \"number\": 6937, #>     \"title\": \"Update `storms` data through 2022\", #>     \"user\": { #>       \"login\": \"steveharoz\", #>       \"id\": 2257540, #>       \"node_id\": \"MDQ6VXNlcjIyNTc1NDA=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/2257540?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/steveharoz\", #>       \"html_url\": \"https://github.com/steveharoz\", #>       \"followers_url\": \"https://api.github.com/users/steveharoz/followers\", #>       \"following_url\": \"https://api.github.com/users/steveharoz/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/steveharoz/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/steveharoz/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/steveharoz/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/steveharoz/orgs\", #>       \"repos_url\": \"https://api.github.com/users/steveharoz/repos\", #>       \"events_url\": \"https://api.github.com/users/steveharoz/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/steveharoz/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-07T18:52:24Z\", #>     \"updated_at\": \"2023-10-07T18:52:24Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6937\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6937\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6937.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6937.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"The data for 2022 was added by NOAA a few months ago. This PR just adds the new data by updating the source and running `data-row/storms.R`.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6934\", #>     \"id\": 1922262606, #>     \"node_id\": \"I_kwDOAGIUpc5yk2ZO\", #>     \"number\": 6934, #>     \"title\": \"When `.unpack = TRUE`, `.names` should delay its column name uniqueness check\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 3407329987, #>         \"node_id\": \"LA_kwDOAGIUpc7LF7rD\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/columns%20%E2%86%94%EF%B8%8F\", #>         \"name\": \"columns ↔️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on columns: mutate(), select(),  rename(), relocate()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-02T16:38:23Z\", #>     \"updated_at\": \"2023-10-02T16:38:23Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Extracted from https://github.com/tidyverse/dplyr/issues/6933\\r\\n\\r\\nSometimes the function you apply in `across()` returns a tibble who's column names already uniquely identify that function (`TTR::TDI()` or `TTR::MACD()`), so you don't need to name the `list()` as that would be repetitive, and you don't need the `_1` or `_2` you get automatically.\\r\\n\\r\\nIt would be nice if you could set `.names = \\\"{.col}_\\\"` when `.unpack = TRUE` to handle this special case, but that runs the name uniqueness check too early. It creates two names called `var1_`, which do eventually get resolved _after_ the unpacking is done, and a second name uniqueness check is already done in `df_unpack()`, so I think we can skip the ones in `across_setup()` when `.unpack = TRUE`.\\r\\n\\r\\nEasiest way to do this is the probably give `across_setup()` a `name_repair` argument that we can set to `\\\"minimal\\\"` when `.unpack = TRUE`.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf <- tibble(\\r\\n  var1 = seq(1, 100, 1)\\r\\n)\\r\\n\\r\\nmetric_a <- function(x) {\\r\\n  tibble::tibble(a = x, a_info = x + 1)\\r\\n}\\r\\nmetric_b <- function(x) {\\r\\n  tibble::tibble(b = x, b_info = x + 1)\\r\\n}\\r\\n\\r\\n# dont need 1 and 2 here\\r\\ndf |>\\r\\n  mutate(across(\\r\\n    var1,\\r\\n    list(\\r\\n      \\\\(.x) metric_a(.x),\\r\\n      \\\\(.x) metric_b(.x)\\r\\n    ),\\r\\n    .unpack = TRUE\\r\\n  ))\\r\\n#> # A tibble: 100 × 5\\r\\n#>     var1 var1_1_a var1_1_a_info var1_2_b var1_2_b_info\\r\\n#>    <dbl>    <dbl>         <dbl>    <dbl>         <dbl>\\r\\n#>  1     1        1             2        1             2\\r\\n#>  2     2        2             3        2             3\\r\\n#>  3     3        3             4        3             4\\r\\n#>  4     4        4             5        4             5\\r\\n#>  5     5        5             6        5             6\\r\\n#>  6     6        6             7        6             7\\r\\n#>  7     7        7             8        7             8\\r\\n#>  8     8        8             9        8             9\\r\\n#>  9     9        9            10        9            10\\r\\n#> 10    10       10            11       10            11\\r\\n#> # ℹ 90 more rows\\r\\n\\r\\n# this is also repetitive\\r\\ndf |>\\r\\n  mutate(across(\\r\\n    var1,\\r\\n    list(\\r\\n      a = \\\\(.x) metric_a(.x),\\r\\n      b = \\\\(.x) metric_b(.x)\\r\\n    ),\\r\\n    .unpack = TRUE\\r\\n  ))\\r\\n#> # A tibble: 100 × 5\\r\\n#>     var1 var1_a_a var1_a_a_info var1_b_b var1_b_b_info\\r\\n#>    <dbl>    <dbl>         <dbl>    <dbl>         <dbl>\\r\\n#>  1     1        1             2        1             2\\r\\n#>  2     2        2             3        2             3\\r\\n#>  3     3        3             4        3             4\\r\\n#>  4     4        4             5        4             5\\r\\n#>  5     5        5             6        5             6\\r\\n#>  6     6        6             7        6             7\\r\\n#>  7     7        7             8        7             8\\r\\n#>  8     8        8             9        8             9\\r\\n#>  9     9        9            10        9            10\\r\\n#> 10    10       10            11       10            11\\r\\n#> # ℹ 90 more rows\\r\\n\\r\\n# ideally:\\r\\ndf |>\\r\\n  mutate(across(\\r\\n    var1,\\r\\n    list(\\r\\n      a = \\\\(.x) metric_a(.x),\\r\\n      b = \\\\(.x) metric_b(.x)\\r\\n    ),\\r\\n    .names = \\\"{.col}_\\\",\\r\\n    .unpack = TRUE\\r\\n  ))\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(...)`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Names must be unique.\\r\\n#> ✖ These names are duplicated:\\r\\n#>   * \\\"var1_\\\" at locations 1 and 2.\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─dplyr::mutate(...)\\r\\n#>   2. ├─dplyr:::mutate.data.frame(...)\\r\\n#>   3. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\\r\\n#>   4. │   ├─base::withCallingHandlers(...)\\r\\n#>   5. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\\r\\n#>   6. │     └─mask$eval_all_mutate(quo)\\r\\n#>   7. │       └─dplyr (local) eval()\\r\\n#>   8. └─dplyr::across(...)\\r\\n#>   9.   └─dplyr:::across_setup(...)\\r\\n#>  10.     └─vctrs::vec_as_names(...)\\r\\n#>  11.       └─vctrs (local) `<fn>`()\\r\\n#>  12.         └─vctrs:::validate_unique(names = names, arg = arg, call = call)\\r\\n#>  13.           └─vctrs:::stop_names_must_be_unique(names, arg, call = call)\\r\\n#>  14.             └─vctrs:::stop_names(...)\\r\\n#>  15.               └─vctrs:::stop_vctrs(...)\\r\\n#>  16.                 └─rlang::abort(message, class = c(class, \\\"vctrs_error\\\"), ..., call = call)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-02 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6931\", #>     \"id\": 1908806733, #>     \"node_id\": \"I_kwDOAGIUpc5xxhRN\", #>     \"number\": 6931, #>     \"title\": \"`.data` does not work properly in case data is stored in a nested column\", #>     \"user\": { #>       \"login\": \"psychelzh\", #>       \"id\": 13306020, #>       \"node_id\": \"MDQ6VXNlcjEzMzA2MDIw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/13306020?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/psychelzh\", #>       \"html_url\": \"https://github.com/psychelzh\", #>       \"followers_url\": \"https://api.github.com/users/psychelzh/followers\", #>       \"following_url\": \"https://api.github.com/users/psychelzh/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/psychelzh/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/psychelzh/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/psychelzh/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/psychelzh/orgs\", #>       \"repos_url\": \"https://api.github.com/users/psychelzh/repos\", #>       \"events_url\": \"https://api.github.com/users/psychelzh/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/psychelzh/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-09-22T12:21:26Z\", #>     \"updated_at\": \"2023-09-22T12:22:11Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Please briefly describe your problem and what output you expect. If you have a question, please don't use this form. Instead, ask on <https://stackoverflow.com/> or <https://community.rstudio.com/>.\\r\\n\\r\\nPlease include a minimal reproducible example (AKA a reprex). If you've never heard of a [reprex](http://reprex.tidyverse.org/) before, start by reading <https://www.tidyverse.org/help/#reprex>.\\r\\n\\r\\n---\\r\\n\\r\\nHere my data is nested in one column called `dat`, then `.data` cannot detect a column with string, but `pick()` works as expect.\\r\\n\\r\\n``` r\\r\\nsuppressPackageStartupMessages(library(dplyr))\\r\\nlibrary(purrr)\\r\\ntest <- tibble::tribble(\\r\\n  ~target, ~dat,\\r\\n  \\\"x\\\", data.frame(id = 1:5, x = 1:5)\\r\\n) \\r\\ntest |> \\r\\n  mutate(\\r\\n    map2(\\r\\n      target, dat,\\r\\n      \\\\(target, dat) {\\r\\n        dat |> \\r\\n          mutate(y = .data[[target]])\\r\\n      }\\r\\n    )\\r\\n  )\\r\\n#> Error in eval(expr, envir, enclos): 找不到对象'target'\\r\\ntest |> \\r\\n  mutate(\\r\\n    map2(\\r\\n      target, dat,\\r\\n      \\\\(target, dat) {\\r\\n        dat |> \\r\\n          mutate(y = pick(all_of(target)))\\r\\n      }\\r\\n    )\\r\\n  )\\r\\n#> # A tibble: 1 × 3\\r\\n#>   target dat          `map2(...)` \\r\\n#>   <chr>  <list>       <list>      \\r\\n#> 1 x      <df [5 × 2]> <df [5 × 3]>\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-09-22 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6927\", #>     \"id\": 1888862482, #>     \"node_id\": \"PR_kwDOAGIUpc5Z8GJ9\", #>     \"number\": 6927, #>     \"title\": \"Implement reconstruct in C++\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/krlmlr\", #>       \"html_url\": \"https://github.com/krlmlr\", #>       \"followers_url\": \"https://api.github.com/users/krlmlr/followers\", #>       \"following_url\": \"https://api.github.com/users/krlmlr/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/krlmlr/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-09-09T20:14:24Z\", #>     \"updated_at\": \"2023-09-10T18:13:19Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6927\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6927\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6927.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6927.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"This would allow duckplyr to remove all of its C code. Running revdepchecks now.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6925\", #>     \"id\": 1882664531, #>     \"node_id\": \"I_kwDOAGIUpc5wNy5T\", #>     \"number\": 6925, #>     \"title\": \"add_row weirdness\", #>     \"user\": { #>       \"login\": \"ggrothendieck\", #>       \"id\": 7840510, #>       \"node_id\": \"MDQ6VXNlcjc4NDA1MTA=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/7840510?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/ggrothendieck\", #>       \"html_url\": \"https://github.com/ggrothendieck\", #>       \"followers_url\": \"https://api.github.com/users/ggrothendieck/followers\", #>       \"following_url\": \"https://api.github.com/users/ggrothendieck/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/ggrothendieck/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/ggrothendieck/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/ggrothendieck/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/ggrothendieck/orgs\", #>       \"repos_url\": \"https://api.github.com/users/ggrothendieck/repos\", #>       \"events_url\": \"https://api.github.com/users/ggrothendieck/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/ggrothendieck/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-09-05T20:21:47Z\", #>     \"updated_at\": \"2023-10-25T12:54:45Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"After much experimenting I found that the first pipeline worked to add a row with the sum of the D and E rows. I would have thought one could replace `DE` with the expression to calculate it as in the second pipeline (which gives the wrong answer) and not use `reframe` (which gives an error).\\r\\n\\r\\n```\\r\\nlibrary(dplyr)\\r\\npackageVersion(\\\"dplyr\\\")\\r\\n## [1] ‘1.1.3’\\r\\n\\r\\ndata2 <- tibble(value = head(LETTERS, 5), # A to E\\r\\n   Q1 = rep(20, 5L),\\r\\n   Q2 = c(0, 40, 40, 20, 0),\\r\\n   Q3 = c(0, 40, 20, 0, 40))\\r\\n \\r\\n# 1. works\\r\\ndata2 %>%\\r\\n  mutate(DE = value %in% c(\\\"D\\\", \\\"E\\\")) %>%\\r\\n  reframe(add_row(., value = \\\"DE\\\", across(-1, ~ sum(DE * .x)))) %>%\\r\\n  select(-DE)\\r\\n# A tibble: 6 × 4\\r\\n  value    Q1    Q2    Q3\\r\\n  <chr> <dbl> <dbl> <dbl>\\r\\n1 A        20     0     0\\r\\n2 B        20    40    40\\r\\n3 C        20    40    20\\r\\n4 D        20    20     0\\r\\n5 E        20     0    40\\r\\n6 DE       40    20    40\\r\\n \\r\\n# 2. replacing DE w expr to calc it gives wrong ans\\r\\ndata2 %>%\\r\\n   reframe(add_row(., value = \\\"DE\\\", across(-1, ~ sum((value %in% c(\\\"D\\\", \\\"E\\\")) * .x))))\\r\\n## # A tibble: 6 × 4\\r\\n##   value    Q1    Q2    Q3\\r\\n##   <chr> <dbl> <dbl> <dbl>\\r\\n## 1 A        20     0     0\\r\\n## 2 B        20    40    40\\r\\n## 3 C        20    40    20\\r\\n## 4 D        20    20     0\\r\\n## 5 E        20     0    40\\r\\n## 6 DE        0     0     0\\r\\n \\r\\n# 3. removing reframe fails w error\\r\\ndata2 %>%\\r\\n   mutate(DE = value %in% c(\\\"D\\\", \\\"E\\\")) %>%\\r\\n   add_row(value = \\\"DE\\\", across(-1, ~ sum(DE * .x))) %>%\\r\\n   select(-DE)\\r\\n## Error in `across()`:\\r\\n## ! Must only be used inside data-masking verbs like `mutate()`, `filter()`, and `group_by()`.\\r\\n## Run `rlang::last_trace()` to see where the error occurred.\\r\\n```\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6924\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6924/labels{/name}\", #>     \"comments_url\": 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\"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Similar to #1179 with test from https://github.com/tidyverse/dplyr/commit/61b04c752d38e3d2bb24560e2b0c6d2d31a00199\\r\\n\\r\\nFrom my data:\\r\\n```\\r\\na <- tibble::tribble(\\r\\n  ~REPORT_RESULT_UNIT,\\r\\n              \\\"µS/cm\\\",\\r\\n               \\\"mg/L\\\",\\r\\n               \\\"µg/L\\\",\\r\\n                 \\\"su\\\",\\r\\n                \\\"ntu\\\",\\r\\n           \\\"µmhos/cm\\\",\\r\\n           \\\"µmhos/cm\\\",\\r\\n               \\\"pg/L\\\",\\r\\n                 \\\"mV\\\",\\r\\n            \\\"Celsius\\\",\\r\\n               \\\"ng/L\\\",\\r\\n              \\\"µS/cm\\\"\\r\\n  )\\r\\n```\\r\\n\\r\\nWith this encoding:\\r\\n```\\r\\n> Encoding(a$REPORT_RESULT_UNIT[1])\\r\\n[1] \\\"latin1\\\"\\r\\n> Encoding(a$REPORT_RESULT_UNIT[12])\\r\\n[1] \\\"UTF-8\\\"\\r\\n> Encoding(a$REPORT_RESULT_UNIT[6])\\r\\n[1] \\\"UTF-8\\\"\\r\\n> Encoding(a$REPORT_RESULT_UNIT[7])\\r\\n[1] \\\"UTF-8\\\"\\r\\n\\r\\n```\\r\\n\\r\\nThen:\\r\\n```\\r\\na %>% \\r\\n  distinct(REPORT_RESULT_UNIT) \\r\\n\\r\\n\\r\\n# # A tibble: 12 x 1\\r\\n# REPORT_RESULT_UNIT\\r\\n# <chr>             \\r\\n# 1 µS/cm             \\r\\n# 2 mg/L              \\r\\n# 3 µg/L              \\r\\n# 4 su                \\r\\n# 5 ntu               \\r\\n# 6 µmhos/cm          \\r\\n# 7 µmhos/cm          \\r\\n# 8 pg/L              \\r\\n# 9 mV                \\r\\n# 10 Celsius           \\r\\n# 11 ng/L              \\r\\n# 12 µS/cm     \\r\\n```\\r\\n\\r\\n```\\r\\n> sessionInfo()\\r\\nR version 4.1.2 (2021-11-01)\\r\\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\\r\\nRunning under: Windows 10 x64 (build 19045)\\r\\n\\r\\nMatrix products: default\\r\\n\\r\\nlocale:\\r\\n[1] LC_COLLATE=English_Australia.1252  LC_CTYPE=English_Australia.1252    LC_MONETARY=English_Australia.1252 LC_NUMERIC=C                      \\r\\n[5] LC_TIME=English_Australia.1252    \\r\\n\\r\\nattached base packages:\\r\\n[1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n\\r\\nother attached packages:\\r\\n[1] dplyr_1.0.9    testthat_3.1.4\\r\\n```\\r\\n\\r\\nI note that this fails:\\r\\n```\\r\\nlibrary(testthat)\\r\\nlibrary(dplyr)\\r\\n\\r\\ntest_that(\\\"distinct respects encodings (#1179)\\\", {\\r\\n  x <- c(\\\"Montr\\\\u00e9al\\\", \\\"Montr\\\\u00e9al\\\")\\r\\n  Encoding(x[2]) <- \\\"\\\"\\r\\n  df <- data.frame(x=x)\\r\\n  expect_equal( nrow(distinct(df)), 1L )\\r\\n})\\r\\n```\\r\\n\\r\\n```\\r\\n-- Failure (Line 5): distinct respects encodings (#1179) -----------------------\\r\\nnrow(distinct(df)) not equal to 1L.\\r\\n1/1 mismatches\\r\\n[1] 2 - 1 == 1\\r\\n\\r\\nError in reporter$stop_if_needed() : Test failed\\r\\n```\\r\\n\\r\\nThough when I try it with my data it is fine\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6924/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       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     \"login\": \"kaz462\", #>       \"id\": 47867131, #>       \"node_id\": \"MDQ6VXNlcjQ3ODY3MTMx\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/47867131?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/kaz462\", #>       \"html_url\": \"https://github.com/kaz462\", #>       \"followers_url\": \"https://api.github.com/users/kaz462/followers\", #>       \"following_url\": \"https://api.github.com/users/kaz462/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/kaz462/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/kaz462/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/kaz462/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/kaz462/orgs\", #>       \"repos_url\": \"https://api.github.com/users/kaz462/repos\", #>       \"events_url\": \"https://api.github.com/users/kaz462/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/kaz462/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 6, #>     \"created_at\": \"2023-08-31T00:49:25Z\", #>     \"updated_at\": \"2023-10-21T09:49:38Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Is the following example a bug in `near`?\\r\\n```r\\r\\n> near(1.1 * 100 * 10^200, 110 * 10^200)\\r\\n[1] FALSE\\r\\n```\\r\\n_Originally posted by @bundfussr in https://github.com/pharmaverse/admiral/issues/2060#issuecomment-1691876301_\\r\\n\\r\\nThe same example works as expected with `base::all.equal()`\\r\\n```r\\r\\n> all.equal(1.1 * 100 * 10^200, 110 * 10^200)\\r\\n[1] TRUE\\r\\n```       \", #>     \"reactions\": { #>       \"url\": 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\"id\": 1862427308, #>     \"node_id\": \"I_kwDOAGIUpc5vAmKs\", #>     \"number\": 6917, #>     \"title\": \"Add natural sort option to `arrange()`\", #>     \"user\": { #>       \"login\": \"bounlu\", #>       \"id\": 17899927, #>       \"node_id\": \"MDQ6VXNlcjE3ODk5OTI3\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/17899927?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/bounlu\", #>       \"html_url\": \"https://github.com/bounlu\", #>       \"followers_url\": \"https://api.github.com/users/bounlu/followers\", #>       \"following_url\": \"https://api.github.com/users/bounlu/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/bounlu/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/bounlu/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/bounlu/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/bounlu/orgs\", #>       \"repos_url\": \"https://api.github.com/users/bounlu/repos\", #>       \"events_url\": \"https://api.github.com/users/bounlu/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/bounlu/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-08-23T01:57:49Z\", #>     \"updated_at\": \"2023-08-23T13:16:51Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Currently there is no option for `arrange()` to mimic the natural/human sorting of columns containing alphanumerical characters. In Bash, this can be achieved by `sort -V`. Please add this feature to `arrange()`.\\r\\n\\r\\n```\\r\\ndf %>% arrange(Sample)\\r\\n\\r\\nSample\\r\\nS10a\\r\\nS10b\\r\\nS11a\\r\\nS11b\\r\\nS12a\\r\\nS12b\\r\\nS13a\\r\\nS13b\\r\\nS14a\\r\\nS14b\\r\\nS15a\\r\\nS15b\\r\\nS16\\r\\nS17\\r\\nS18\\r\\nS19\\r\\nS1a\\r\\nS1b\\r\\nS2a\\r\\nS2b\\r\\nS3a\\r\\nS3b\\r\\nS4a\\r\\nS4b\\r\\nS5a\\r\\nS5b\\r\\nS6a\\r\\nS6b\\r\\nS7a\\r\\nS7b\\r\\nS8\\r\\nS9\\r\\n```\\r\\n\\r\\nIn Bash, we can sort the same column with `sort -V`:\\r\\n\\r\\n```\\r\\n$ sort -V Sample\\r\\nS1a\\r\\nS1b\\r\\nS2a\\r\\nS2b\\r\\nS3a\\r\\nS3b\\r\\nS4a\\r\\nS4b\\r\\nS5a\\r\\nS5b\\r\\nS6a\\r\\nS6b\\r\\nS7a\\r\\nS7b\\r\\nS8\\r\\nS9\\r\\nS10a\\r\\nS10b\\r\\nS11a\\r\\nS11b\\r\\nS12a\\r\\nS12b\\r\\nS13a\\r\\nS13b\\r\\nS14a\\r\\nS14b\\r\\nS15a\\r\\nS15b\\r\\nS16\\r\\nS17\\r\\nS18\\r\\nS19\\r\\n```\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6915\", #>     \"id\": 1858206506, #>     \"node_id\": \"I_kwDOAGIUpc5uwfsq\", #>     \"number\": 6915, #>     \"title\": \"FR: `rows_clean()`?\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/krlmlr\", #>       \"html_url\": \"https://github.com/krlmlr\", #>       \"followers_url\": \"https://api.github.com/users/krlmlr/followers\", #>       \"following_url\": \"https://api.github.com/users/krlmlr/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/krlmlr/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-20T17:27:26Z\", #>     \"updated_at\": \"2023-08-20T17:27:26Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Do we want to add a function that clears all rows to the `rows_*()` family? For data frames, this is `df[0, ]`, but this will be useful for databases and `in_place = TRUE` .\\r\\n\\r\\nDownstream: https://github.com/cynkra/dm/issues/851.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6913\", #>     \"id\": 1850514467, #>     \"node_id\": \"I_kwDOAGIUpc5uTJwj\", #>     \"number\": 6913, #>     \"title\": \"When a data frame has an \\\"n\\\" column, sometime count() automatically uses it to weight counts, other times it does not\", #>     \"user\": { #>       \"login\": \"zshipstead\", #>       \"id\": 95093393, #>       \"node_id\": \"U_kgDOBasCkQ\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/95093393?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/zshipstead\", #>       \"html_url\": \"https://github.com/zshipstead\", #>       \"followers_url\": \"https://api.github.com/users/zshipstead/followers\", #>       \"following_url\": \"https://api.github.com/users/zshipstead/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/zshipstead/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/zshipstead/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/zshipstead/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/zshipstead/orgs\", #>       \"repos_url\": \"https://api.github.com/users/zshipstead/repos\", #>       \"events_url\": \"https://api.github.com/users/zshipstead/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/zshipstead/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-14T20:46:01Z\", #>     \"updated_at\": \"2023-08-14T20:46:01Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I have a data frame that has a column with n. Vars are\\r\\n\\r\\nIdentifier\\r\\nGroupName\\r\\nn (which was a count used to determine group name)\\r\\n\\r\\nI have the same line of code that I run, so it is not a matter of me typing differently. I want to count the group name\\r\\n\\r\\ndata %>% count(GroupName) %>% distinct()\\r\\n\\r\\nSometimes when I run this code, it gives me a simple count of the different group names. Other times it weighs them based on n. Obviously it stops if I rename the n column, but the inconsistency of performance is very concerning.\\r\\n\\r\\nAre there known conflicts with other packages I might have loaded?\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6912\", #>     \"id\": 1849765675, #>     \"node_id\": \"I_kwDOAGIUpc5uQS8r\", #>     \"number\": 6912, #>     \"title\": \"Catch and rethrow the \\\"overflow\\\" error from vctrs during joins\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1257707950, #>         \"node_id\": \"MDU6TGFiZWwxMjU3NzA3OTUw\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/tables%20%F0%9F%A7%AE\", #>         \"name\": \"tables 🧮\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"joins and set operations\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-14T13:20:20Z\", #>     \"updated_at\": \"2023-08-14T13:20:20Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"See https://github.com/r-lib/vctrs/pull/1869, requires dev vctrs right now.\\r\\n\\r\\nWe could throw a much more informative error. Probably advising the user to check their join keys, because a misspecified join is typically the source of this overflow (as seen by many people opening vctrs issues about this)\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909/labels{/name}\", #>     \"comments_url\": 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\"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 2, #>     \"created_at\": \"2023-08-12T08:16:34Z\", #>     \"updated_at\": \"2023-08-24T03:06:56Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6909\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6909\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6909.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6909.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"for duckplyr.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6906\", #>     \"id\": 1839401013, #>     \"node_id\": \"I_kwDOAGIUpc5towg1\", #>     \"number\": 6906, #>     \"title\": \"Filtering ordered factor via between() does not agree with filtering using a conditional expression \", #>     \"user\": { #>       \"login\": \"Generalized\", #>       \"id\": 60151643, #>       \"node_id\": \"MDQ6VXNlcjYwMTUxNjQz\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/60151643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/Generalized\", #>       \"html_url\": \"https://github.com/Generalized\", #>       \"followers_url\": \"https://api.github.com/users/Generalized/followers\", #>       \"following_url\": \"https://api.github.com/users/Generalized/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/Generalized/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/Generalized/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/Generalized/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/Generalized/orgs\", #>       \"repos_url\": \"https://api.github.com/users/Generalized/repos\", #>       \"events_url\": \"https://api.github.com/users/Generalized/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/Generalized/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2023-08-07T12:55:59Z\", #>     \"updated_at\": \"2023-08-13T03:15:52Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"The result of using `between()` in filtering is not equivalent to evaluating a conditional expression when working with ordered factors.\\r\\n\\r\\n```{r}\\r\\n> (x <- data.frame(Visit = c(\\\"Discharge\\\", \\\"Month 3\\\", \\\"Month 6\\\", \\\"Month 12\\\", \\\"Month 20\\\")))\\r\\n      Visit\\r\\n1 Discharge\\r\\n2   Month 3\\r\\n3   Month 6\\r\\n4  Month 12\\r\\n5  Month 20\\r\\n\\r\\n> class(x$Visit)\\r\\n[1] \\\"character\\\"\\r\\n```\\r\\n\\r\\nNow let's make it an ordered factor with assumed levels (used later for other operations):\\r\\n```{r}\\r\\n> (x$Visit <- factor(x$Visit, levels = c(\\\"Baseline\\\", \\\"Discharge\\\", \\\"Month 3\\\", \\\"Month 6\\\", \\\"Month 12\\\", \\\"Month 20\\\", \\\"Premature\\\"), ordered = TRUE))\\r\\n[1] Discharge Month 3   Month 6   Month 12  Month 20 \\r\\nLevels: Baseline < Discharge < Month 3 < Month 6 < Month 12 < Month 20 < Premature\\r\\n```\\r\\n\\r\\nWhen filtering using the conjunction of conditions it works\\r\\n```{r}\\r\\n> x %>% filter(Visit >= \\\"Discharge\\\" & Visit <= \\\"Month 20\\\")\\r\\n      Visit\\r\\n1 Discharge\\r\\n2   Month 3\\r\\n3   Month 6\\r\\n4  Month 12\\r\\n5  Month 20\\r\\n```\\r\\nWhen using the convenient between(), it doesn't\\r\\n```{r}\\r\\n> x %>% filter(between(Visit, \\\"Discharge\\\", \\\"Month 20\\\"))\\r\\n      Visit\\r\\n1 Discharge\\r\\n2  Month 12\\r\\n3  Month 20\\r\\n```\\r\\n2 items are missing in the output.\\r\\n\\r\\n-----\\r\\nR version 4.2.0 (2022-04-22 ucrt)\\r\\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\\r\\nRunning under: Windows 10 x64 (build 19045)\\r\\n\\r\\n> packageVersion(\\\"dplyr\\\")\\r\\n[1] ‘1.1.1’\", #>     \"reactions\": { #>       \"url\": 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\"id\": 1839123639, #>     \"node_id\": \"I_kwDOAGIUpc5tnsy3\", #>     \"number\": 6905, #>     \"title\": \"`bind_rows()` for database tables\", #>     \"user\": { #>       \"login\": \"mgirlich\", #>       \"id\": 18258854, #>       \"node_id\": \"MDQ6VXNlcjE4MjU4ODU0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18258854?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mgirlich\", #>       \"html_url\": \"https://github.com/mgirlich\", #>       \"followers_url\": \"https://api.github.com/users/mgirlich/followers\", #>       \"following_url\": \"https://api.github.com/users/mgirlich/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mgirlich/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mgirlich/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mgirlich/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mgirlich/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mgirlich/repos\", #>       \"events_url\": \"https://api.github.com/users/mgirlich/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mgirlich/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-07T10:06:08Z\", #>     \"updated_at\": \"2023-08-07T10:06:08Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"It would be nice if `bind_rows()` would work for database tables.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\nlibrary(purrr)\\r\\ncon <- DBI::dbConnect(RSQLite::SQLite(), \\\":memory:\\\")\\r\\n\\r\\n# Create random slices of mtcars\\r\\ntables <-\\r\\n  1:5 |>\\r\\n  map(function(n) {\\r\\n    tbl_name <- paste0(\\\"mtcars_\\\", n)\\r\\n    copy_to(con, slice_sample(mtcars, n = 3), tbl_name)\\r\\n\\r\\n    tbl(con, tbl_name)\\r\\n  })\\r\\nbind_rows(!!!tables)\\r\\n#> Error in `bind_rows()`:\\r\\n#> ! Argument 1 must be a data frame or a named atomic vector.\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. └─dplyr::bind_rows(!!!tables)\\r\\n#>  2.   └─rlang::abort(glue(\\\"Argument {i} must be a data frame or a named atomic vector.\\\"))\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-08-07 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\nI know there were issues with the double dispatch and what happens if local tables and database tables are mixed.\\r\\nBut I think it would be sufficient if either all inputs are local tables or database tables.\\r\\nThis was also requested again in dbplyr: https://github.com/tidyverse/dbplyr/issues/1342.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6905/reactions\", #>       \"total_count\": 5, #>       \"+1\": 5, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6905/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6900\", #>     \"id\": 1835459833, #>     \"node_id\": \"I_kwDOAGIUpc5tZuT5\", #>     \"number\": 6900, #>     \"title\": \"Improve na_if documentation re vctrs coercion rules\", #>     \"user\": { #>       \"login\": \"DanielEWeeks\", #>       \"id\": 8495972, #>       \"node_id\": \"MDQ6VXNlcjg0OTU5NzI=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/8495972?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DanielEWeeks\", #>       \"html_url\": \"https://github.com/DanielEWeeks\", #>       \"followers_url\": \"https://api.github.com/users/DanielEWeeks/followers\", #>       \"following_url\": \"https://api.github.com/users/DanielEWeeks/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DanielEWeeks/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DanielEWeeks/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DanielEWeeks/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DanielEWeeks/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DanielEWeeks/repos\", #>       \"events_url\": \"https://api.github.com/users/DanielEWeeks/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DanielEWeeks/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-03T17:29:55Z\", #>     \"updated_at\": \"2023-08-03T17:30:18Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"**Brief description of the problem**\\r\\n\\r\\nUsing `na_if` it generated error messages that I found mystifying:\\r\\n\\r\\n```r\\r\\n> na_if(\\\"ID\\\", -3333)\\r\\nError in `na_if()`:\\r\\n! Can't convert `y` <double> to match type of `x` <character>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n> na_if(\\\"ID\\\", \\\"-3333\\\")\\r\\n[1] \\\"ID\\\"\\r\\n> na_if( 1, \\\"-3333\\\")\\r\\nError in `na_if()`:\\r\\n! Can't convert `y` <character> to match type of `x` <double>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n> na_if( 1, -3333)\\r\\n[1] 1\\r\\n```\\r\\nCurrently the `na_if(x, y)` documentation simply states:\\r\\n\\r\\n\\\"y is cast to the type of x before comparison.\\\"\\r\\n\\r\\nso it sounds like it should be able, when doing `na_if(\\\"ID\\\", -3333)`, to cast the numeric `-3333` to character before doing the comparison.  \\r\\n\\r\\nSo I was initially mystified by this behavior (above), but then it was explained to me that `na_if` is using {vctrs} under the hood, so it is using `vctrs` coercion rules.   As such, please consider extending the `na_if` documentation for the `na_if` function with a bit more text and relevant examples to explain and clarify this.  \\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6897\", #>     \"id\": 1824687161, #>     \"node_id\": \"I_kwDOAGIUpc5swoQ5\", #>     \"number\": 6897, #>     \"title\": \"Using `across()` within `mutate()` is appreciably slower than mutating columns individually\", #>     \"user\": { #>       \"login\": \"MattJEM\", #>       \"id\": 26907416, #>       \"node_id\": \"MDQ6VXNlcjI2OTA3NDE2\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/26907416?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/MattJEM\", #>       \"html_url\": \"https://github.com/MattJEM\", #>       \"followers_url\": \"https://api.github.com/users/MattJEM/followers\", #>       \"following_url\": \"https://api.github.com/users/MattJEM/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/MattJEM/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/MattJEM/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/MattJEM/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/MattJEM/orgs\", #>       \"repos_url\": \"https://api.github.com/users/MattJEM/repos\", #>       \"events_url\": \"https://api.github.com/users/MattJEM/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/MattJEM/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-07-27T15:58:10Z\", #>     \"updated_at\": \"2023-07-28T04:41:03Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"If I group a dataset and apply the same function across multiple columns using `mutate(across(...))` I see a performance decrease compared to individually mutating the columns. It is 5.31s vs 0.053s in the reprex, but in my actual, much larger dataset the difference is 1.5 hours vs a couple of minutes.\\r\\n\\r\\n---\\r\\n\\r\\n`sessionInfo()`\\r\\n```r\\r\\nR version 4.3.1 (2023-06-16 ucrt)\\r\\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\\r\\nRunning under: Windows Server 2019 x64 (build 17763)\\r\\n\\r\\nMatrix products: default\\r\\n\\r\\n\\r\\nlocale:\\r\\n[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252\\r\\n[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    \\r\\n\\r\\ntime zone: America/New_York\\r\\ntzcode source: internal\\r\\n\\r\\nattached base packages:\\r\\n[1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n\\r\\nother attached packages:\\r\\n[1] modeldata_1.1.0 dplyr_1.1.2    \\r\\n\\r\\nloaded via a namespace (and not attached):\\r\\n [1] utf8_1.2.3        R6_2.5.1          tidyselect_1.2.0  magrittr_2.0.3    glue_1.6.2        tibble_3.2.1     \\r\\n [7] pkgconfig_2.0.3   generics_0.1.3    lifecycle_1.0.3   cli_3.6.1         fansi_1.0.4       vctrs_0.6.3      \\r\\n[13] withr_2.5.0       compiler_4.3.1    rstudioapi_0.15.0 tools_4.3.1       pillar_1.9.0      crayon_1.5.2     \\r\\n[19] rlang_1.1.1\\r\\n```\\r\\n---\\r\\nReprex\\r\\n```r\\r\\nlibrary(dplyr)\\r\\nlibrary(modeldata)\\r\\n\\r\\ndata(ames)\\r\\n\\r\\nstart_time1 <- Sys.time()\\r\\names_calc1 <- ames %>%\\r\\n  group_by(Year_Built, MS_Zoning) %>%\\r\\n  mutate(across(First_Flr_SF:TotRms_AbvGrd, mean, na.rm = TRUE, .names = '{.col}_mean')) %>%\\r\\n  ungroup()\\r\\nstop_time1 <- Sys.time()\\r\\n\\r\\nstart_time2 <- Sys.time()\\r\\names_calc2 <- ames %>%\\r\\n  group_by(Year_Built, MS_Zoning) %>%\\r\\n  mutate(First_Flr_SF_mean = mean(First_Flr_SF, na.rm = TRUE),\\r\\n         Second_Flr_SF_mean = mean(Second_Flr_SF, na.rm = TRUE),\\r\\n         Gr_Liv_Area_mean = mean(Gr_Liv_Area, na.rm = TRUE),\\r\\n         Bsmt_Full_Bath_mean = mean(Bsmt_Full_Bath, na.rm = TRUE),\\r\\n         Bsmt_Half_Bath_mean = mean(Bsmt_Half_Bath, na.rm = TRUE),\\r\\n         Full_Bath_mean = mean(Full_Bath, na.rm = TRUE),\\r\\n         Half_Bath_mean = mean(Half_Bath, na.rm = TRUE),\\r\\n         Bedroom_AbvGr_mean = mean(Bedroom_AbvGr, na.rm = TRUE),\\r\\n         Kitchen_AbvGr_mean = mean(Kitchen_AbvGr, na.rm = TRUE),\\r\\n         TotRms_AbvGrd_mean = mean(TotRms_AbvGrd, na.rm = TRUE)) %>%\\r\\n  ungroup()\\r\\nstop_time2 <- Sys.time()\\r\\n\\r\\nstop_time1 - start_time1 # Using across() takes 5.313556 secs\\r\\nstop_time2 - start_time2 # Individually mutating takes 0.05337405 secs\\r\\n```\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6896\", #>     \"id\": 1824054486, #>     \"node_id\": \"I_kwDOAGIUpc5suNzW\", #>     \"number\": 6896, #>     \"title\": \"`bind_rows` now failing when a column includes JSON vectors\", #>     \"user\": { #>       \"login\": \"James-G-Hill\", #>       \"id\": 2002036, #>       \"node_id\": \"MDQ6VXNlcjIwMDIwMzY=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/2002036?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/James-G-Hill\", #>       \"html_url\": \"https://github.com/James-G-Hill\", #>       \"followers_url\": \"https://api.github.com/users/James-G-Hill/followers\", #>       \"following_url\": \"https://api.github.com/users/James-G-Hill/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/James-G-Hill/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/James-G-Hill/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/James-G-Hill/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/James-G-Hill/orgs\", #>       \"repos_url\": \"https://api.github.com/users/James-G-Hill/repos\", #>       \"events_url\": \"https://api.github.com/users/James-G-Hill/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/James-G-Hill/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-07-27T10:10:53Z\", #>     \"updated_at\": \"2023-07-27T10:10:53Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Using `bind_rows` (dplyr version 1.1.2) with tibbles including JSON produced from `jsonlite` produces and error whereas it previously worked (dplyr 1.0.0 for example)\\r\\n\\r\\n```r\\r\\ndplyr::bind_rows(\\r\\n  dplyr::tibble(msg = jsonlite::toJSON(list(\\\"a\\\"), auto_unbox = TRUE)),\\r\\n  dplyr::tibble(msg = jsonlite::toJSON(list(\\\"b\\\"), auto_unbox = TRUE))\\r\\n)\\r\\n```\\r\\n\\r\\nError:\\r\\n\\r\\n```\\r\\nError in `dplyr::bind_rows()`:\\r\\n! Can't convert `..1$msg` <json> to match type of `msg` <vctrs:::common_class_fallback>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n```\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6895\", #>     \"id\": 1820741012, #>     \"node_id\": \"I_kwDOAGIUpc5shk2U\", #>     \"number\": 6895, #>     \"title\": \" Confirm if `dplyr::across` can pass same length of vector to  `.names` \", #>     \"user\": { #>       \"login\": \"ynsec37\", #>       \"id\": 98389771, #>       \"node_id\": \"U_kgDOBd1PCw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/98389771?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/ynsec37\", #>       \"html_url\": \"https://github.com/ynsec37\", #>       \"followers_url\": \"https://api.github.com/users/ynsec37/followers\", #>       \"following_url\": \"https://api.github.com/users/ynsec37/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/ynsec37/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/ynsec37/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/ynsec37/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/ynsec37/orgs\", #>       \"repos_url\": \"https://api.github.com/users/ynsec37/repos\", #>       \"events_url\": \"https://api.github.com/users/ynsec37/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/ynsec37/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-07-25T16:54:41Z\", #>     \"updated_at\": \"2023-08-01T17:18:07Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Dear developer,\\r\\n\\r\\nI found the below example work well but no related description in current [official document](https://dplyr.tidyverse.org/reference/across.html).\\r\\n\\r\\n> .names\\t A glue specification that describes how to name the output columns. This can use {.col} to stand for the selected column name, and {.fn} to stand for the name of the function being applied. The default (NULL) is equivalent to \\\"{.col}\\\" for the single function case and \\\"{.col}_{.fn}\\\" for the case where a list is used for .fns.\\r\\n\\r\\n\\r\\n\\r\\nI just want to confirm whether this way is right or accepted, especilly when the new variable names can not simply be computed by `{.col}` or `{.fn}`\\r\\n\\r\\n```r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf <- tibble::tibble(a = 1, b = 2, c = 3)\\r\\n\\r\\ncols <- c(\\\"a\\\", \\\"b\\\", \\\"c\\\")\\r\\nnew_cols <- c(\\\"x\\\", \\\"y\\\", \\\"z\\\")\\r\\n\\r\\ndf %>%\\r\\n  mutate(across(\\r\\n    .cols = all_of(cols),\\r\\n    .fns = ~ .x + 10,\\r\\n    .names = \\\"{new_cols}\\\"\\r\\n  ))\\r\\n#> # A tibble: 1 × 6\\r\\n#>       a     b     c     x     y     z\\r\\n#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#> 1     1     2     3    11    12    13\\r\\n```\\r\\nThank very much for your reply.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/reactions\", #>       \"total_count\": 2, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 1 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6892\", #>     \"id\": 1818429552, #>     \"node_id\": \"I_kwDOAGIUpc5sYwhw\", #>     \"number\": 6892, #>     \"title\": \"dplyr::across inappropriately rewrites dollar indexes my function code\", #>     \"user\": { #>       \"login\": \"DarwinAwardWinner\", #>       \"id\": 228145, #>       \"node_id\": \"MDQ6VXNlcjIyODE0NQ==\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/228145?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DarwinAwardWinner\", #>       \"html_url\": \"https://github.com/DarwinAwardWinner\", #>       \"followers_url\": \"https://api.github.com/users/DarwinAwardWinner/followers\", #>       \"following_url\": \"https://api.github.com/users/DarwinAwardWinner/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DarwinAwardWinner/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DarwinAwardWinner/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DarwinAwardWinner/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DarwinAwardWinner/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DarwinAwardWinner/repos\", #>       \"events_url\": \"https://api.github.com/users/DarwinAwardWinner/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DarwinAwardWinner/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 10, #>     \"created_at\": \"2023-07-24T13:27:23Z\", #>     \"updated_at\": \"2023-07-31T18:02:26Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I was getting a weird error inside the `mutate(across(...))` (see reprex), and by closely reading the stack trace I eventually realized it was because some function (presumably `dplyr::across`) is rewriting my function, changing the x in `desn$x` into e.g. `dens$mpg` (see line 10 of the stack trace). I guess this is because dplyr is rewriting every symbolic occurrence of the function arguments, including the `$x`. The rest of the reprex demonstrates 2 simple workarounds: using double bracket indexing to avoid referring to x as a symbol, and changing the argument name to avoid the name collision. However, debugging this error was rather confusing, since manually running the code on a test case didn't produce the error. I would expect the original code to work, since this function would work as expected in any other context, e.g. `lapply`.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\nmtcars <- as_tibble(mtcars)\\r\\n\\r\\n## Fails\\r\\nmtcars %>%\\r\\n  mutate(across(where(is.numeric), .names = \\\"{.col}_KDensity\\\", function(x) {\\r\\n    dens <- density(x, bw = \\\"SJ\\\", n = 2048, na.rm = TRUE)\\r\\n    approx(dens$x, dens$y, xout = x, na.rm = FALSE, rule = 2)$y\\r\\n  }))\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(...)`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Can't compute column `mpg_KDensity`.\\r\\n#> Caused by error in `xy.coords()`:\\r\\n#> ! 'x' and 'y' lengths differ\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─mtcars %>% ...\\r\\n#>   2. ├─dplyr::mutate(...)\\r\\n#>   3. ├─dplyr:::mutate.data.frame(...)\\r\\n#>   4. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\\r\\n#>   5. │   ├─base::withCallingHandlers(...)\\r\\n#>   6. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\\r\\n#>   7. │     ├─base::withCallingHandlers(...)\\r\\n#>   8. │     └─mask$eval_all_mutate(quo)\\r\\n#>   9. │       └─dplyr (local) eval()\\r\\n#>  10. ├─stats::approx(dens$mpg, dens$y, xout = mpg, na.rm = FALSE, rule = 2)\\r\\n#>  11. │ └─stats:::regularize.values(x, y, ties, missing(ties), na.rm = na.rm)\\r\\n#>  12. │   └─grDevices::xy.coords(x, y, setLab = FALSE)\\r\\n#>  13. │     └─base::stop(\\\"'x' and 'y' lengths differ\\\")\\r\\n#>  14. └─base::.handleSimpleError(...)\\r\\n#>  15.   └─dplyr (local) h(simpleError(msg, call))\\r\\n#>  16.     └─rlang::abort(msg, call = call(\\\"across\\\"), parent = cnd)\\r\\n\\r\\n## Succeeds\\r\\nmtcars %>%\\r\\n  mutate(across(where(is.numeric), .names = \\\"{.col}_KDensity\\\", function(x) {\\r\\n    dens <- density(x, bw = \\\"SJ\\\", n = 2048, na.rm = TRUE)\\r\\n    approx(dens[[\\\"x\\\"]], dens$y, xout = x, na.rm = FALSE, rule = 2)$y\\r\\n  }))\\r\\n#> # A tibble: 32 × 22\\r\\n#>      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\\r\\n#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#>  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\\r\\n#>  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\\r\\n#>  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\\r\\n#>  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\\r\\n#>  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\\r\\n#>  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\\r\\n#>  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\\r\\n#>  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\\r\\n#>  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\\r\\n#> 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\\r\\n#> # ℹ 22 more rows\\r\\n#> # ℹ 11 more variables: mpg_KDensity <dbl>, cyl_KDensity <dbl>,\\r\\n#> #   disp_KDensity <dbl>, hp_KDensity <dbl>, drat_KDensity <dbl>,\\r\\n#> #   wt_KDensity <dbl>, qsec_KDensity <dbl>, vs_KDensity <dbl>,\\r\\n#> #   am_KDensity <dbl>, gear_KDensity <dbl>, carb_KDensity <dbl>\\r\\n\\r\\n## Also succeeds\\r\\nmtcars %>%\\r\\n  mutate(across(where(is.numeric), .names = \\\"{.col}_KDensity\\\", function(xx) {\\r\\n    dens <- density(xx, bw = \\\"SJ\\\", n = 2048, na.rm = TRUE)\\r\\n    approx(dens$x, dens$y, xout = xx, na.rm = FALSE, rule = 2)$y\\r\\n  }))\\r\\n#> # A tibble: 32 × 22\\r\\n#>      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\\r\\n#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#>  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\\r\\n#>  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\\r\\n#>  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\\r\\n#>  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\\r\\n#>  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\\r\\n#>  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\\r\\n#>  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\\r\\n#>  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\\r\\n#>  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\\r\\n#> 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\\r\\n#> # ℹ 22 more rows\\r\\n#> # ℹ 11 more variables: mpg_KDensity <dbl>, cyl_KDensity <dbl>,\\r\\n#> #   disp_KDensity <dbl>, hp_KDensity <dbl>, drat_KDensity <dbl>,\\r\\n#> #   wt_KDensity <dbl>, qsec_KDensity <dbl>, vs_KDensity <dbl>,\\r\\n#> #   am_KDensity <dbl>, gear_KDensity <dbl>, carb_KDensity <dbl>\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-07-24 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6891\", #>     \"id\": 1818419328, #>     \"node_id\": \"I_kwDOAGIUpc5sYuCA\", #>     \"number\": 6891, #>     \"title\": \"The case for `drop_rows()` and `keep_rows()` in relation to `filter()`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 334471510, #>         \"node_id\": \"MDU6TGFiZWwzMzQ0NzE1MTA=\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/verbs%20:running_woman:\", #>         \"name\": \"verbs :running_woman:\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"\" #>       }, #>       { #>         \"id\": 3407327207, #>         \"node_id\": \"LA_kwDOAGIUpc7LF6_n\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/rows%20%E2%86%95%EF%B8%8F\", #>         \"name\": \"rows ↕️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on rows: filter(), slice(), arrange()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-07-24T13:22:13Z\", #>     \"updated_at\": \"2023-08-01T16:46:38Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"There have been quite a few requests in the past for an \\\"anti filter\\\", i.e. I want to specify a set of conditions that determine which rows to _drop_. Additionally, it has traditionally been somewhat difficult to explain that `filter()` is about specifying rows to _keep_; that isn't really explained clearly in the verb name. Also, we've also seen in the past that it is mildly confusing that `select()` is about columns and `filter()` is about rows, again, there isn't anything in the verb names to describe the difference.\\r\\n\\r\\n---\\r\\n\\r\\nOne thing we could consider doing is to add two new very explicit verbs:\\r\\n- `keep_rows(data, ..., by = , missing = )`\\r\\n- `drop_rows(data, ..., by = , missing = )`\\r\\n\\r\\nWhere `keep_rows()` is equivalent to `filter()`, and `drop_rows()` is the opposite.\\r\\n\\r\\nTo be very clear, `filter()` would _never_ disappear. We would, however, consider superseding it in favor of these if they prove to be successful, which really only means we'd start using them in docs and workshops instead of `filter()`. We'd even consider not even superseding `filter()`, which many people find scary. Instead we'd just be aliasing `keep_rows()` as `filter()`.\\r\\n\\r\\nThe biggest annoyance when writing a \\\"drop\\\" style expression with `filter()` is that you first have to write a \\\"keep\\\" expression and then painfully invert it. i.e.:\\r\\n\\r\\n\\\"drop rows from `df` where `a` and `b` and `c` are `TRUE`\\\"\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\ndf <- tibble(\\r\\n  id = c(1, 2, 3),\\r\\n  a = c(TRUE, NA, TRUE),\\r\\n  b = c(FALSE, TRUE, TRUE),\\r\\n  c = c(TRUE, TRUE, TRUE)\\r\\n)\\r\\ndf\\r\\n#> # A tibble: 3 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     1 TRUE  FALSE TRUE \\r\\n#> 2     2 NA    TRUE  TRUE \\r\\n#> 3     3 TRUE  TRUE  TRUE\\r\\n\\r\\n# \\\"keep rows where a and b and c are TRUE\\\"\\r\\n# this nicely drops NAs because they don't match our specified criteria\\r\\nfilter(df, a, b, c)\\r\\n#> # A tibble: 1 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     3 TRUE  TRUE  TRUE\\r\\n\\r\\n# \\\"drop rows where a and b and c are TRUE\\\"\\r\\n# this AWFULLY drops NAs because of how filter() works!\\r\\n# NA doesn't match our criteria so shouldnt be seen as something to drop\\r\\nfilter(df, !(a & b & c))\\r\\n#> # A tibble: 1 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     1 TRUE  FALSE TRUE\\r\\n```\\r\\n\\r\\nNote that even the seemingly correct \\\"drop\\\" expression is actually wrong when it comes to handling missing values. It is fairly hard to get this right.\\r\\n\\r\\nThe `drop_rows()` version would be:\\r\\n\\r\\n```r\\r\\ndf %>% drop_rows(a, b, c)\\r\\n#> # A tibble: 2 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     1 TRUE  FALSE TRUE \\r\\n#> 2     2 NA    TRUE  TRUE \\r\\n```\\r\\n\\r\\nWhere `NA` isn't considered something you \\\"drop\\\" by default, but would be if `missing` was tweaked to whatever we decide means \\\"treat a missing value like `TRUE`\\\".\\r\\n\\r\\n---\\r\\n\\r\\nA few other notes:\\r\\n- `missing` is from https://github.com/tidyverse/dplyr/issues/6560 and controls how missing values are treated. By default, both functions would treat an `NA` as `FALSE` (i.e. missing values are never kept or dropped), but could be made to treat them as `TRUE` or an error. Though I don't think `missing = c(\\\"keep\\\", \\\"drop\\\", \\\"error\\\")` works uniformly for both verbs so we'd need to think of another parameterization.\\r\\n- Both functions would support `if_all()` and `if_any()`, which I think form nice natural sentences. \\\"drop rows if any are NA\\\" sounds pretty good for `drop_rows(df, if_any(c(a, b), is.na))`. That is like `tidyr::drop_na()`.\\r\\n- Neither would support `across()`, which we have been deprecating from `filter()` for a little while now.\\r\\n- Both functions would combine multiple conditions using `&`, as that is typically the natural way to combine multiple conditions and you can always get `|` behavior with either an explicit `|` or by using multiple calls to the function. i.e. `df %>% drop_rows(x > 5 | y > 6)` is the same as `df %>% drop_rows(x > 5) %>% drop_rows(y > 6)` (and you can't do that split trick with `&`). `if_any()` can also work for `|` when you need to apply the same function to multiple columns.\\r\\n- Both functions would support `by`\\r\\n\\r\\nSome issues and questions related to this:\\r\\n- https://github.com/tidyverse/dplyr/issues/6888\\r\\n- https://github.com/tidyverse/dplyr/issues/1527\\r\\n- https://github.com/tidyverse/dplyr/issues/741\\r\\n- https://github.com/tidyverse/dplyr/issues/1797\\r\\n- https://stackoverflow.com/questions/45661377/delete-rows-based-on-multiple-conditions-with-dplyr\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6890\", #>     \"id\": 1817996283, #>     \"node_id\": \"I_kwDOAGIUpc5sXGv7\", #>     \"number\": 6890, #>     \"title\": \"Unexpected/impractical behaviour of rowwise() in combination with mutate_all()\", #>     \"user\": { #>       \"login\": \"martijnvanattekum\", #>       \"id\": 19334781, #>       \"node_id\": \"MDQ6VXNlcjE5MzM0Nzgx\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19334781?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/martijnvanattekum\", #>       \"html_url\": \"https://github.com/martijnvanattekum\", #>       \"followers_url\": \"https://api.github.com/users/martijnvanattekum/followers\", #>       \"following_url\": \"https://api.github.com/users/martijnvanattekum/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/martijnvanattekum/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/martijnvanattekum/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/martijnvanattekum/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/martijnvanattekum/orgs\", #>       \"repos_url\": \"https://api.github.com/users/martijnvanattekum/repos\", #>       \"events_url\": \"https://api.github.com/users/martijnvanattekum/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/martijnvanattekum/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-07-24T09:16:52Z\", #>     \"updated_at\": \"2023-07-24T09:16:52Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"When trying to apply a function using `mutate_all()` to each **row** of a data frame using `rowwise()`, it seems the function only considers individual values, rather than the complete row. \\r\\n\\r\\nComparing column-wise with rowwise operations:\\r\\n```\\r\\n# Columnwise - considers the complete column when applying the function\\r\\nlibrary(dplyr)\\r\\nhead(mtcars) %>% mutate_all(rank)\\r\\n\\r\\n>                   mpg cyl disp hp drat wt qsec vs am gear carb\\r\\n> Mazda RX4         3.5 3.5  2.5  4  5.5  2  1.0  2  5    5  5.5\\r\\n> Mazda RX4 Wag     3.5 3.5  2.5  4  5.5  3  2.5  2  5    5  5.5\\r\\n> Datsun 710        6.0 1.0  1.0  1  4.0  1  4.0  5  5    5  2.0\\r\\n> Hornet 4 Drive    5.0 3.5  5.0  4  2.0  4  5.0  5  2    2  2.0\\r\\n> Hornet Sportabout 2.0 6.0  6.0  6  3.0  5  2.5  2  2    2  4.0\\r\\n> Valiant           1.0 3.5  4.0  2  1.0  6  6.0  5  2    2  2.0\\r\\n\\r\\n# Rowwise - considers only the individual values within the row when applying the function, hence always returning rank 1\\r\\nlibrary(dplyr)\\r\\nhead(mtcars) %>% rowwise() %>% mutate_all(rank)\\r\\n\\r\\n> # A tibble: 6 × 11\\r\\n> # Rowwise: \\r\\n>     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\\r\\n>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n> 1     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 2     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 3     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 4     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 5     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 6     1     1     1     1     1     1     1     1     1     1     1\\r\\n\\r\\n# Expected result\\r\\n# Can be obtained running head(mtcars) %>% apply(1, \\\\(row) rank(row)) %>% t() %>% data.frame()\\r\\n\\r\\n>                   mpg cyl disp hp drat wt qsec  vs  am gear carb\\r\\n> Mazda RX4           9 7.0   11 10    4  3    8 1.0 2.0  5.5  5.5\\r\\n> Mazda RX4 Wag       9 7.0   11 10    4  3    8 1.0 2.0  5.5  5.5\\r\\n> Datsun 710          9 6.5   11 10    5  4    8 2.0 2.0  6.5  2.0\\r\\n> Hornet 4 Drive      9 7.0   11 10    5  6    8 2.5 1.0  4.0  2.5\\r\\n> Hornet Sportabout   9 7.0   11 10    5  6    8 1.5 1.5  4.0  3.0\\r\\n> Valiant             8 7.0   11 10    4  6    9 2.5 1.0  5.0  2.5\\r\\n```\\r\\n\\r\\nWould it be possible to obtain the expected result with `rowwise()`?\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": 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\"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-11-02T20:56:22Z\", #>     \"updated_at\": \"2023-11-02T20:56:22Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6949\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6949\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6949.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6949.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"For the `theory-faq-recycling` change\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6949/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6949/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947/events\", #>     \"html_url\": 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\"html_url\": \"https://github.com/tidyverse/dplyr/pull/6947\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6947.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6947.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"Closes https://github.com/tidyverse/dplyr/pull/6927 (alternative approach)\\r\\nPart of https://github.com/tidyverse/dplyr/issues/6525 (the other half was https://github.com/r-lib/vctrs/pull/1847)\\r\\n\\r\\nIn https://github.com/tidyverse/dplyr/issues/6525#issuecomment-1303619152, we discovered that one of the places that duckplyr's ALTREP row names are being triggered is in `attributes()`, called on the `template` argument of `dplyr_reconstruct()`. Calling `attributes()` will try and expand internally compact row names (i.e. `c(NA, -5)`) into an ALTREP integer sequence https://github.com/wch/r-source/blob/69b94f0c8ce9b2497f6d7a81922575f6c585b713/src/main/attrib.c#L176-L177. This avoids leaking this internal detail to most users. But this requires calling `INTEGER()` or `INTEGER_ELT()` on the row names object. For duckplyr's lazy queries, which don't know the resulting number of rows until it happens, that is enough to trigger the lazy query.\\r\\n\\r\\nWhile working on this, I also discovered that `attributes<-()` is also a problem. It also has special behavior where it tries to _create_ this internal compact row names representation during the setting process https://github.com/wch/r-source/blob/69b94f0c8ce9b2497f6d7a81922575f6c585b713/src/main/attrib.c#L57. Again, this requires looking at `INTEGER()`. So if `data` had duckplyr ALTREP row names, then it would trigger the query upon reconstruction too.\\r\\n\\r\\nI think the best solution for this is to come up with our own attribute getter / setter helpers that try and mimic most of what `do_attributes()` and `do_attributesgets()` do, but with special casing for row names. We could avoid the two helpers and just manipulate the underlying pairlists directly with a \\\"copy most attributes\\\" style helper, but I feel like we may need something like these helpers in the future, and it seemed a little cleaner to me to be able to expose these on the R side, as you get precise control over what \\\"most attributes\\\" means (here, everything but names and row names).\\r\\n\\r\\nUp until now, this has been managed in duckplyr itself, but we think it should live here so duckplyr can remove its C code.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6947/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6946\", #>     \"id\": 1966458349, #>     \"node_id\": \"I_kwDOAGIUpc51NcXt\", #>     \"number\": 6946, #>     \"title\": \"`slice_sample()` shows strange suggestion when called with namespace\", #>     \"user\": { #>       \"login\": \"psychelzh\", #>       \"id\": 13306020, #>       \"node_id\": \"MDQ6VXNlcjEzMzA2MDIw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/13306020?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/psychelzh\", #>       \"html_url\": \"https://github.com/psychelzh\", #>       \"followers_url\": \"https://api.github.com/users/psychelzh/followers\", #>       \"following_url\": \"https://api.github.com/users/psychelzh/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/psychelzh/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/psychelzh/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/psychelzh/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/psychelzh/orgs\", #>       \"repos_url\": \"https://api.github.com/users/psychelzh/repos\", #>       \"events_url\": \"https://api.github.com/users/psychelzh/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/psychelzh/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-10-28T06:17:30Z\", #>     \"updated_at\": \"2023-10-28T06:21:17Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"The error is simple as the follow:\\r\\n\\r\\n``` r\\r\\ndplyr::slice_sample(data.frame(x = 1:100), 10)\\r\\n#> Error in `dplyr::slice_sample()`:\\r\\n#> ! `n` must be explicitly named.\\r\\n#> Did you mean `::(n = 10)`?\\r\\n#> Did you mean `dplyr(n = 10)`?\\r\\n#> Did you mean `slice_sample(n = 10)`?\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. └─dplyr::slice_sample(data.frame(x = 1:100), 10)\\r\\n#>  2.   └─dplyr:::check_slice_unnamed_n_prop(..., n = n, prop = prop)\\r\\n#>  3.     └─rlang::abort(bullets, call = error_call)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-28 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6946/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6945\", #>     \"id\": 1964318347, #>     \"node_id\": \"I_kwDOAGIUpc51FR6L\", #>     \"number\": 6945, #>     \"title\": \"`rename_with()` errors when no match/clarity of error message\", #>     \"user\": { #>       \"login\": \"asadow\", #>       \"id\": 40274818, #>       \"node_id\": \"MDQ6VXNlcjQwMjc0ODE4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/40274818?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/asadow\", #>       \"html_url\": \"https://github.com/asadow\", #>       \"followers_url\": \"https://api.github.com/users/asadow/followers\", #>       \"following_url\": \"https://api.github.com/users/asadow/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/asadow/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/asadow/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/asadow/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/asadow/orgs\", #>       \"repos_url\": \"https://api.github.com/users/asadow/repos\", #>       \"events_url\": \"https://api.github.com/users/asadow/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/asadow/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-26T20:25:37Z\", #>     \"updated_at\": \"2023-10-26T20:25:37Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I thought I could use map over a list of data frames to rename them using `rename_with()` and a tidyselector like `matches()`, whether or not each data frame has a matching column name. Now it looks as though that is not longer possible (#6688). \\r\\n\\r\\nThat's all fine and good. Now I see I can just use `rename()`, which does not error. But I think the error for `rename_with()` could be more clear by saying that there is no match. \\r\\n\\r\\nLastly, I'm curious: why the difference in erroring vs. not between `rename()` and `rename_with()`?\\r\\n\\r\\n``` r\\r\\nlibrary(tidyverse)\\r\\n\\r\\n# No error\\r\\nmtcars |> rename(\\\"joe\\\" = matches(\\\"qwerty\\\")) |> head(1)\\r\\n#>           mpg cyl disp  hp drat   wt  qsec vs am gear carb\\r\\n#> Mazda RX4  21   6  160 110  3.9 2.62 16.46  0  1    4    4\\r\\n\\r\\n# Hinting error\\r\\nmtcars |> rename_with(~ \\\"joe\\\", qwerty)\\r\\n#> Error in `rename_with()`:\\r\\n#> ! Can't subset columns that don't exist.\\r\\n#> ✖ Column `qwerty` doesn't exist.\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─dplyr::rename_with(mtcars, ~\\\"joe\\\", qwerty)\\r\\n#>   2. ├─dplyr:::rename_with.data.frame(mtcars, ~\\\"joe\\\", qwerty)\\r\\n#>   3. │ └─tidyselect::eval_select(enquo(.cols), .data, allow_rename = FALSE)\\r\\n#>   4. │   └─tidyselect:::eval_select_impl(...)\\r\\n#>   5. │     ├─tidyselect:::with_subscript_errors(...)\\r\\n#>   6. │     │ └─rlang::try_fetch(...)\\r\\n#>   7. │     │   └─base::withCallingHandlers(...)\\r\\n#>   8. │     └─tidyselect:::vars_select_eval(...)\\r\\n#>   9. │       └─tidyselect:::walk_data_tree(expr, data_mask, context_mask)\\r\\n#>  10. │         └─tidyselect:::as_indices_sel_impl(...)\\r\\n#>  11. │           └─tidyselect:::as_indices_impl(...)\\r\\n#>  12. │             └─tidyselect:::chr_as_locations(x, vars, call = call, arg = arg)\\r\\n#>  13. │               └─vctrs::vec_as_location(...)\\r\\n#>  14. └─vctrs (local) `<fn>`()\\r\\n#>  15.   └─vctrs:::stop_subscript_oob(...)\\r\\n#>  16.     └─vctrs:::stop_subscript(...)\\r\\n#>  17.       └─rlang::abort(...)\\r\\n\\r\\n# Less helpful error\\r\\nmtcars |> rename_with(~ \\\"joe\\\", matches(\\\"qwerty\\\"))\\r\\n#> Error in `rename_with()`:\\r\\n#> ! `.fn` must return a vector of length 0, not 1.\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. ├─dplyr::rename_with(mtcars, ~\\\"joe\\\", matches(\\\"qwerty\\\"))\\r\\n#>  2. └─dplyr:::rename_with.data.frame(mtcars, ~\\\"joe\\\", matches(\\\"qwerty\\\"))\\r\\n#>  3.   └─cli::cli_abort(\\\"{.arg .fn} must return a vector of length {length(sel)}, not {length(new)}.\\\")\\r\\n#>  4.     └─rlang::abort(...)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-26 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6945/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6943\", #>     \"id\": 1961317705, #>     \"node_id\": \"I_kwDOAGIUpc5051VJ\", #>     \"number\": 6943, #>     \"title\": \"condition handling ignores locally set options\", #>     \"user\": { #>       \"login\": \"moodymudskipper\", #>       \"id\": 18351714, #>       \"node_id\": \"MDQ6VXNlcjE4MzUxNzE0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18351714?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/moodymudskipper\", #>       \"html_url\": \"https://github.com/moodymudskipper\", #>       \"followers_url\": \"https://api.github.com/users/moodymudskipper/followers\", #>       \"following_url\": \"https://api.github.com/users/moodymudskipper/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/moodymudskipper/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/moodymudskipper/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/moodymudskipper/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/moodymudskipper/orgs\", #>       \"repos_url\": \"https://api.github.com/users/moodymudskipper/repos\", #>       \"events_url\": \"https://api.github.com/users/moodymudskipper/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/moodymudskipper/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-25T12:33:55Z\", #>     \"updated_at\": \"2023-10-25T12:33:55Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Maybe because of a delayed evaluation issue ?\\r\\n\\r\\n``` r\\r\\nbugged <- function() {\\r\\n  withr::local_options(warn = 2)\\r\\n  rlang::warn(\\\"oops\\\") # or warning(\\\"oops\\\")\\r\\n  24\\r\\n}\\r\\n\\r\\n# as expected\\r\\n\\r\\nbugged()\\r\\n#> Error: (converted from warning) oops\\r\\nsubset(cars, speed == bugged())\\r\\n#> Error: (converted from warning) oops\\r\\n\\r\\n# unexpected\\r\\n\\r\\ndplyr::filter(cars, speed == bugged())\\r\\n#> Warning: There was 1 warning in `dplyr::filter()`.\\r\\n#> ℹ In argument: `speed == bugged()`.\\r\\n#> Caused by warning:\\r\\n#> ! oops\\r\\n#>   speed dist\\r\\n#> 1    24   70\\r\\n#> 2    24   92\\r\\n#> 3    24   93\\r\\n#> 4    24  120\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-25 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6943/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6942\", #>     \"id\": 1951021595, #>     \"node_id\": \"PR_kwDOAGIUpc5dNZSf\", #>     \"number\": 6942, #>     \"title\": \"Uptaded documentation on rows_append and rows_insert, issue #6864\", #>     \"user\": { #>       \"login\": \"hsalberti\", #>       \"id\": 76076260, #>       \"node_id\": \"MDQ6VXNlcjc2MDc2MjYw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/76076260?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/hsalberti\", #>       \"html_url\": \"https://github.com/hsalberti\", #>       \"followers_url\": \"https://api.github.com/users/hsalberti/followers\", #>       \"following_url\": \"https://api.github.com/users/hsalberti/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/hsalberti/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/hsalberti/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/hsalberti/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/hsalberti/orgs\", #>       \"repos_url\": \"https://api.github.com/users/hsalberti/repos\", #>       \"events_url\": \"https://api.github.com/users/hsalberti/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/hsalberti/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-19T01:34:19Z\", #>     \"updated_at\": \"2023-10-19T01:34:19Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6942\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6942\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6942.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6942.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"https://github.com/tidyverse/dplyr/issues/6864\\r\\nSolved this issue! Looking forward for a response\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6942/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6940\", #>     \"id\": 1940781206, #>     \"node_id\": \"I_kwDOAGIUpc5zrfiW\", #>     \"number\": 6940, #>     \"title\": \"`arrange()` not warning on `!!` like `all_of()`\", #>     \"user\": { #>       \"login\": \"asadow\", #>       \"id\": 40274818, #>       \"node_id\": \"MDQ6VXNlcjQwMjc0ODE4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/40274818?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/asadow\", #>       \"html_url\": \"https://github.com/asadow\", #>       \"followers_url\": \"https://api.github.com/users/asadow/followers\", #>       \"following_url\": \"https://api.github.com/users/asadow/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/asadow/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/asadow/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/asadow/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/asadow/orgs\", #>       \"repos_url\": \"https://api.github.com/users/asadow/repos\", #>       \"events_url\": \"https://api.github.com/users/asadow/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/asadow/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-10-12T20:56:00Z\", #>     \"updated_at\": \"2023-10-26T09:52:15Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"`!!` inside `arrange()` is not warning like `all_of()`\\r\\n\\r\\nAside: I was surprised to see the lack of tidyselect for `arrange()`. Is the reason documented somewhere? It is not in [the tidyselect 1.2.0 blog post](https://www.tidyverse.org/blog/2022/10/tidyselect-1-2-0/).\\r\\n\\r\\n``` r\\r\\nlibrary(tidyverse)\\r\\ndf <- tibble(x = 2:1)\\r\\nw <- \\\"x\\\"\\r\\ndf |> arrange(.data[[w]])\\r\\n#> # A tibble: 2 × 1\\r\\n#>       x\\r\\n#>   <int>\\r\\n#> 1     1\\r\\n#> 2     2\\r\\ndf |> arrange(!!w)\\r\\n#> # A tibble: 2 × 1\\r\\n#>       x\\r\\n#>   <int>\\r\\n#> 1     2\\r\\n#> 2     1\\r\\ndf |> arrange(all_of(w))\\r\\n#> Warning: There was 1 warning in `arrange()`.\\r\\n#> ℹ In argument: `..1 = all_of(w)`.\\r\\n#> Caused by warning:\\r\\n#> ! Using `all_of()` outside of a selecting function was deprecated in tidyselect\\r\\n#>   1.2.0.\\r\\n#> ℹ See details at\\r\\n#>   <https://tidyselect.r-lib.org/reference/faq-selection-context.html>\\r\\n#> # A tibble: 2 × 1\\r\\n#>       x\\r\\n#>   <int>\\r\\n#> 1     2\\r\\n#> 2     1\\r\\ndf |> arrange(!!.env$w)\\r\\n#> Error in eval(expr, envir, enclos): object '.env' not found\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-12 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6940/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6939\", #>     \"id\": 1935721054, #>     \"node_id\": \"I_kwDOAGIUpc5zYMJe\", #>     \"number\": 6939, #>     \"title\": \"`Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE)`: cli_warn together with dplyr grouping results in error.\", #>     \"user\": { #>       \"login\": \"lschneiderbauer\", #>       \"id\": 422100, #>       \"node_id\": \"MDQ6VXNlcjQyMjEwMA==\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/422100?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/lschneiderbauer\", #>       \"html_url\": \"https://github.com/lschneiderbauer\", #>       \"followers_url\": \"https://api.github.com/users/lschneiderbauer/followers\", #>       \"following_url\": \"https://api.github.com/users/lschneiderbauer/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/lschneiderbauer/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/lschneiderbauer/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/lschneiderbauer/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/lschneiderbauer/orgs\", #>       \"repos_url\": \"https://api.github.com/users/lschneiderbauer/repos\", #>       \"events_url\": \"https://api.github.com/users/lschneiderbauer/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/lschneiderbauer/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-10T16:09:09Z\", #>     \"updated_at\": \"2023-10-10T16:09:09Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Hi,\\r\\n\\r\\nit took me a while to get to this (very artificial) reduced example, but I managed to get it: For some reason, using `cli::warn()` inside a nested and grouped mutate function results in the described error.\\r\\n\\r\\nRemoving `cli_warn()` also removes the error and results in a sane answer.\\r\\n\\r\\nI am using R 4.2.1, with dplyr 1.1.3 and cli 3.6.1.\\r\\n\\r\\n---\\r\\n\\r\\nBrief description of the problem\\r\\n\\r\\n``` r\\r\\nlibrary(cli)\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attache Paket: 'dplyr'\\r\\n#> Die folgenden Objekte sind maskiert von 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> Die folgenden Objekte sind maskiert von 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\n\\r\\nsome_warning <- function() {\\r\\n  cli::cli_warn(\\\"some warning\\\")\\r\\n  return(1)\\r\\n}\\r\\n\\r\\ncreate_new_col <- function() {\\r\\n  tibble(col = TRUE) |>\\r\\n    mutate(\\r\\n      new_col = some_warning(),\\r\\n      .by = col\\r\\n    ) |>\\r\\n    pull(new_col)\\r\\n}\\r\\n\\r\\ntibble(group = TRUE) |>\\r\\n  mutate(new_col = create_new_col(), .by = group)\\r\\n#> Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE): Werte müssen die Länge 1 haben,\\r\\n#> Ergebnis von FUN(X[[1]]) hat aber Länge 0\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-10 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6939/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6938\", #>     \"id\": 1931984400, #>     \"node_id\": \"PR_kwDOAGIUpc5cM9Bz\", #>     \"number\": 6938, #>     \"title\": \"`starwars` data - Replace defunct API\", #>     \"user\": { #>       \"login\": \"steveharoz\", #>       \"id\": 2257540, #>       \"node_id\": \"MDQ6VXNlcjIyNTc1NDA=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/2257540?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/steveharoz\", #>       \"html_url\": \"https://github.com/steveharoz\", #>       \"followers_url\": \"https://api.github.com/users/steveharoz/followers\", #>       \"following_url\": \"https://api.github.com/users/steveharoz/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/steveharoz/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/steveharoz/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/steveharoz/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/steveharoz/orgs\", #>       \"repos_url\": \"https://api.github.com/users/steveharoz/repos\", #>       \"events_url\": \"https://api.github.com/users/steveharoz/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/steveharoz/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-08T18:17:10Z\", #>     \"updated_at\": \"2023-10-15T07:22:08Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6938\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6938\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6938.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6938.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"1. The API used to generate the `starwars` data is no longer operational. I found 2 possible replacements (https://swapi.dev/about and https://swapi.py4e.com/about). The py4e site was more complete, so I used that one.\\r\\n2. A typo was pointed out in #6840. The issue was fixed in swapi.dev but not in swapi.py4e.com, so I just fixed it myself in the code.\\r\\n3. One character's details (Jek Tono Porkins) were missing from the new API, so I added them in code using the old data.\\r\\n4. The order of the films was arbitrary in the old API. The new API sorts it by release date. (This is the bulk of the diff)\\r\\n5. There are only very minor changes to the other data coming from the new API. So there shouldn't be much impact.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6938/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6937\", #>     \"id\": 1931463299, #>     \"node_id\": \"PR_kwDOAGIUpc5cLR4K\", #>     \"number\": 6937, #>     \"title\": \"Update `storms` data through 2022\", #>     \"user\": { #>       \"login\": \"steveharoz\", #>       \"id\": 2257540, #>       \"node_id\": \"MDQ6VXNlcjIyNTc1NDA=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/2257540?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/steveharoz\", #>       \"html_url\": \"https://github.com/steveharoz\", #>       \"followers_url\": \"https://api.github.com/users/steveharoz/followers\", #>       \"following_url\": \"https://api.github.com/users/steveharoz/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/steveharoz/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/steveharoz/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/steveharoz/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/steveharoz/orgs\", #>       \"repos_url\": \"https://api.github.com/users/steveharoz/repos\", #>       \"events_url\": \"https://api.github.com/users/steveharoz/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/steveharoz/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-07T18:52:24Z\", #>     \"updated_at\": \"2023-10-07T18:52:24Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"CONTRIBUTOR\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6937\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6937\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6937.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6937.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"The data for 2022 was added by NOAA a few months ago. This PR just adds the new data by updating the source and running `data-row/storms.R`.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6937/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6934\", #>     \"id\": 1922262606, #>     \"node_id\": \"I_kwDOAGIUpc5yk2ZO\", #>     \"number\": 6934, #>     \"title\": \"When `.unpack = TRUE`, `.names` should delay its column name uniqueness check\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 3407329987, #>         \"node_id\": \"LA_kwDOAGIUpc7LF7rD\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/columns%20%E2%86%94%EF%B8%8F\", #>         \"name\": \"columns ↔️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on columns: mutate(), select(),  rename(), relocate()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-10-02T16:38:23Z\", #>     \"updated_at\": \"2023-10-02T16:38:23Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Extracted from https://github.com/tidyverse/dplyr/issues/6933\\r\\n\\r\\nSometimes the function you apply in `across()` returns a tibble who's column names already uniquely identify that function (`TTR::TDI()` or `TTR::MACD()`), so you don't need to name the `list()` as that would be repetitive, and you don't need the `_1` or `_2` you get automatically.\\r\\n\\r\\nIt would be nice if you could set `.names = \\\"{.col}_\\\"` when `.unpack = TRUE` to handle this special case, but that runs the name uniqueness check too early. It creates two names called `var1_`, which do eventually get resolved _after_ the unpacking is done, and a second name uniqueness check is already done in `df_unpack()`, so I think we can skip the ones in `across_setup()` when `.unpack = TRUE`.\\r\\n\\r\\nEasiest way to do this is the probably give `across_setup()` a `name_repair` argument that we can set to `\\\"minimal\\\"` when `.unpack = TRUE`.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf <- tibble(\\r\\n  var1 = seq(1, 100, 1)\\r\\n)\\r\\n\\r\\nmetric_a <- function(x) {\\r\\n  tibble::tibble(a = x, a_info = x + 1)\\r\\n}\\r\\nmetric_b <- function(x) {\\r\\n  tibble::tibble(b = x, b_info = x + 1)\\r\\n}\\r\\n\\r\\n# dont need 1 and 2 here\\r\\ndf |>\\r\\n  mutate(across(\\r\\n    var1,\\r\\n    list(\\r\\n      \\\\(.x) metric_a(.x),\\r\\n      \\\\(.x) metric_b(.x)\\r\\n    ),\\r\\n    .unpack = TRUE\\r\\n  ))\\r\\n#> # A tibble: 100 × 5\\r\\n#>     var1 var1_1_a var1_1_a_info var1_2_b var1_2_b_info\\r\\n#>    <dbl>    <dbl>         <dbl>    <dbl>         <dbl>\\r\\n#>  1     1        1             2        1             2\\r\\n#>  2     2        2             3        2             3\\r\\n#>  3     3        3             4        3             4\\r\\n#>  4     4        4             5        4             5\\r\\n#>  5     5        5             6        5             6\\r\\n#>  6     6        6             7        6             7\\r\\n#>  7     7        7             8        7             8\\r\\n#>  8     8        8             9        8             9\\r\\n#>  9     9        9            10        9            10\\r\\n#> 10    10       10            11       10            11\\r\\n#> # ℹ 90 more rows\\r\\n\\r\\n# this is also repetitive\\r\\ndf |>\\r\\n  mutate(across(\\r\\n    var1,\\r\\n    list(\\r\\n      a = \\\\(.x) metric_a(.x),\\r\\n      b = \\\\(.x) metric_b(.x)\\r\\n    ),\\r\\n    .unpack = TRUE\\r\\n  ))\\r\\n#> # A tibble: 100 × 5\\r\\n#>     var1 var1_a_a var1_a_a_info var1_b_b var1_b_b_info\\r\\n#>    <dbl>    <dbl>         <dbl>    <dbl>         <dbl>\\r\\n#>  1     1        1             2        1             2\\r\\n#>  2     2        2             3        2             3\\r\\n#>  3     3        3             4        3             4\\r\\n#>  4     4        4             5        4             5\\r\\n#>  5     5        5             6        5             6\\r\\n#>  6     6        6             7        6             7\\r\\n#>  7     7        7             8        7             8\\r\\n#>  8     8        8             9        8             9\\r\\n#>  9     9        9            10        9            10\\r\\n#> 10    10       10            11       10            11\\r\\n#> # ℹ 90 more rows\\r\\n\\r\\n# ideally:\\r\\ndf |>\\r\\n  mutate(across(\\r\\n    var1,\\r\\n    list(\\r\\n      a = \\\\(.x) metric_a(.x),\\r\\n      b = \\\\(.x) metric_b(.x)\\r\\n    ),\\r\\n    .names = \\\"{.col}_\\\",\\r\\n    .unpack = TRUE\\r\\n  ))\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(...)`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Names must be unique.\\r\\n#> ✖ These names are duplicated:\\r\\n#>   * \\\"var1_\\\" at locations 1 and 2.\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─dplyr::mutate(...)\\r\\n#>   2. ├─dplyr:::mutate.data.frame(...)\\r\\n#>   3. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\\r\\n#>   4. │   ├─base::withCallingHandlers(...)\\r\\n#>   5. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\\r\\n#>   6. │     └─mask$eval_all_mutate(quo)\\r\\n#>   7. │       └─dplyr (local) eval()\\r\\n#>   8. └─dplyr::across(...)\\r\\n#>   9.   └─dplyr:::across_setup(...)\\r\\n#>  10.     └─vctrs::vec_as_names(...)\\r\\n#>  11.       └─vctrs (local) `<fn>`()\\r\\n#>  12.         └─vctrs:::validate_unique(names = names, arg = arg, call = call)\\r\\n#>  13.           └─vctrs:::stop_names_must_be_unique(names, arg, call = call)\\r\\n#>  14.             └─vctrs:::stop_names(...)\\r\\n#>  15.               └─vctrs:::stop_vctrs(...)\\r\\n#>  16.                 └─rlang::abort(message, class = c(class, \\\"vctrs_error\\\"), ..., call = call)\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-10-02 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6934/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6931\", #>     \"id\": 1908806733, #>     \"node_id\": \"I_kwDOAGIUpc5xxhRN\", #>     \"number\": 6931, #>     \"title\": \"`.data` does not work properly in case data is stored in a nested column\", #>     \"user\": { #>       \"login\": \"psychelzh\", #>       \"id\": 13306020, #>       \"node_id\": \"MDQ6VXNlcjEzMzA2MDIw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/13306020?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/psychelzh\", #>       \"html_url\": \"https://github.com/psychelzh\", #>       \"followers_url\": \"https://api.github.com/users/psychelzh/followers\", #>       \"following_url\": \"https://api.github.com/users/psychelzh/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/psychelzh/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/psychelzh/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/psychelzh/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/psychelzh/orgs\", #>       \"repos_url\": \"https://api.github.com/users/psychelzh/repos\", #>       \"events_url\": \"https://api.github.com/users/psychelzh/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/psychelzh/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-09-22T12:21:26Z\", #>     \"updated_at\": \"2023-09-22T12:22:11Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Please briefly describe your problem and what output you expect. If you have a question, please don't use this form. Instead, ask on <https://stackoverflow.com/> or <https://community.rstudio.com/>.\\r\\n\\r\\nPlease include a minimal reproducible example (AKA a reprex). If you've never heard of a [reprex](http://reprex.tidyverse.org/) before, start by reading <https://www.tidyverse.org/help/#reprex>.\\r\\n\\r\\n---\\r\\n\\r\\nHere my data is nested in one column called `dat`, then `.data` cannot detect a column with string, but `pick()` works as expect.\\r\\n\\r\\n``` r\\r\\nsuppressPackageStartupMessages(library(dplyr))\\r\\nlibrary(purrr)\\r\\ntest <- tibble::tribble(\\r\\n  ~target, ~dat,\\r\\n  \\\"x\\\", data.frame(id = 1:5, x = 1:5)\\r\\n) \\r\\ntest |> \\r\\n  mutate(\\r\\n    map2(\\r\\n      target, dat,\\r\\n      \\\\(target, dat) {\\r\\n        dat |> \\r\\n          mutate(y = .data[[target]])\\r\\n      }\\r\\n    )\\r\\n  )\\r\\n#> Error in eval(expr, envir, enclos): 找不到对象'target'\\r\\ntest |> \\r\\n  mutate(\\r\\n    map2(\\r\\n      target, dat,\\r\\n      \\\\(target, dat) {\\r\\n        dat |> \\r\\n          mutate(y = pick(all_of(target)))\\r\\n      }\\r\\n    )\\r\\n  )\\r\\n#> # A tibble: 1 × 3\\r\\n#>   target dat          `map2(...)` \\r\\n#>   <chr>  <list>       <list>      \\r\\n#> 1 x      <df [5 × 2]> <df [5 × 3]>\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-09-22 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6931/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6927\", #>     \"id\": 1888862482, #>     \"node_id\": \"PR_kwDOAGIUpc5Z8GJ9\", #>     \"number\": 6927, #>     \"title\": \"Implement reconstruct in C++\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/krlmlr\", #>       \"html_url\": \"https://github.com/krlmlr\", #>       \"followers_url\": \"https://api.github.com/users/krlmlr/followers\", #>       \"following_url\": \"https://api.github.com/users/krlmlr/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/krlmlr/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-09-09T20:14:24Z\", #>     \"updated_at\": \"2023-09-10T18:13:19Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6927\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6927\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6927.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6927.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"This would allow duckplyr to remove all of its C code. Running revdepchecks now.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6927/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6925\", #>     \"id\": 1882664531, #>     \"node_id\": \"I_kwDOAGIUpc5wNy5T\", #>     \"number\": 6925, #>     \"title\": \"add_row weirdness\", #>     \"user\": { #>       \"login\": \"ggrothendieck\", #>       \"id\": 7840510, #>       \"node_id\": \"MDQ6VXNlcjc4NDA1MTA=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/7840510?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/ggrothendieck\", #>       \"html_url\": \"https://github.com/ggrothendieck\", #>       \"followers_url\": \"https://api.github.com/users/ggrothendieck/followers\", #>       \"following_url\": \"https://api.github.com/users/ggrothendieck/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/ggrothendieck/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/ggrothendieck/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/ggrothendieck/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/ggrothendieck/orgs\", #>       \"repos_url\": \"https://api.github.com/users/ggrothendieck/repos\", #>       \"events_url\": \"https://api.github.com/users/ggrothendieck/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/ggrothendieck/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-09-05T20:21:47Z\", #>     \"updated_at\": \"2023-10-25T12:54:45Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"After much experimenting I found that the first pipeline worked to add a row with the sum of the D and E rows. I would have thought one could replace `DE` with the expression to calculate it as in the second pipeline (which gives the wrong answer) and not use `reframe` (which gives an error).\\r\\n\\r\\n```\\r\\nlibrary(dplyr)\\r\\npackageVersion(\\\"dplyr\\\")\\r\\n## [1] ‘1.1.3’\\r\\n\\r\\ndata2 <- tibble(value = head(LETTERS, 5), # A to E\\r\\n   Q1 = rep(20, 5L),\\r\\n   Q2 = c(0, 40, 40, 20, 0),\\r\\n   Q3 = c(0, 40, 20, 0, 40))\\r\\n \\r\\n# 1. works\\r\\ndata2 %>%\\r\\n  mutate(DE = value %in% c(\\\"D\\\", \\\"E\\\")) %>%\\r\\n  reframe(add_row(., value = \\\"DE\\\", across(-1, ~ sum(DE * .x)))) %>%\\r\\n  select(-DE)\\r\\n# A tibble: 6 × 4\\r\\n  value    Q1    Q2    Q3\\r\\n  <chr> <dbl> <dbl> <dbl>\\r\\n1 A        20     0     0\\r\\n2 B        20    40    40\\r\\n3 C        20    40    20\\r\\n4 D        20    20     0\\r\\n5 E        20     0    40\\r\\n6 DE       40    20    40\\r\\n \\r\\n# 2. replacing DE w expr to calc it gives wrong ans\\r\\ndata2 %>%\\r\\n   reframe(add_row(., value = \\\"DE\\\", across(-1, ~ sum((value %in% c(\\\"D\\\", \\\"E\\\")) * .x))))\\r\\n## # A tibble: 6 × 4\\r\\n##   value    Q1    Q2    Q3\\r\\n##   <chr> <dbl> <dbl> <dbl>\\r\\n## 1 A        20     0     0\\r\\n## 2 B        20    40    40\\r\\n## 3 C        20    40    20\\r\\n## 4 D        20    20     0\\r\\n## 5 E        20     0    40\\r\\n## 6 DE        0     0     0\\r\\n \\r\\n# 3. removing reframe fails w error\\r\\ndata2 %>%\\r\\n   mutate(DE = value %in% c(\\\"D\\\", \\\"E\\\")) %>%\\r\\n   add_row(value = \\\"DE\\\", across(-1, ~ sum(DE * .x))) %>%\\r\\n   select(-DE)\\r\\n## Error in `across()`:\\r\\n## ! Must only be used inside data-masking verbs like `mutate()`, `filter()`, and `group_by()`.\\r\\n## Run `rlang::last_trace()` to see where the error occurred.\\r\\n```\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6925/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6924\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6924/labels{/name}\", #>     \"comments_url\": 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\"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Similar to #1179 with test from https://github.com/tidyverse/dplyr/commit/61b04c752d38e3d2bb24560e2b0c6d2d31a00199\\r\\n\\r\\nFrom my data:\\r\\n```\\r\\na <- tibble::tribble(\\r\\n  ~REPORT_RESULT_UNIT,\\r\\n              \\\"µS/cm\\\",\\r\\n               \\\"mg/L\\\",\\r\\n               \\\"µg/L\\\",\\r\\n                 \\\"su\\\",\\r\\n                \\\"ntu\\\",\\r\\n           \\\"µmhos/cm\\\",\\r\\n           \\\"µmhos/cm\\\",\\r\\n               \\\"pg/L\\\",\\r\\n                 \\\"mV\\\",\\r\\n            \\\"Celsius\\\",\\r\\n               \\\"ng/L\\\",\\r\\n              \\\"µS/cm\\\"\\r\\n  )\\r\\n```\\r\\n\\r\\nWith this encoding:\\r\\n```\\r\\n> Encoding(a$REPORT_RESULT_UNIT[1])\\r\\n[1] \\\"latin1\\\"\\r\\n> Encoding(a$REPORT_RESULT_UNIT[12])\\r\\n[1] \\\"UTF-8\\\"\\r\\n> Encoding(a$REPORT_RESULT_UNIT[6])\\r\\n[1] \\\"UTF-8\\\"\\r\\n> Encoding(a$REPORT_RESULT_UNIT[7])\\r\\n[1] \\\"UTF-8\\\"\\r\\n\\r\\n```\\r\\n\\r\\nThen:\\r\\n```\\r\\na %>% \\r\\n  distinct(REPORT_RESULT_UNIT) \\r\\n\\r\\n\\r\\n# # A tibble: 12 x 1\\r\\n# REPORT_RESULT_UNIT\\r\\n# <chr>             \\r\\n# 1 µS/cm             \\r\\n# 2 mg/L              \\r\\n# 3 µg/L              \\r\\n# 4 su                \\r\\n# 5 ntu               \\r\\n# 6 µmhos/cm          \\r\\n# 7 µmhos/cm          \\r\\n# 8 pg/L              \\r\\n# 9 mV                \\r\\n# 10 Celsius           \\r\\n# 11 ng/L              \\r\\n# 12 µS/cm     \\r\\n```\\r\\n\\r\\n```\\r\\n> sessionInfo()\\r\\nR version 4.1.2 (2021-11-01)\\r\\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\\r\\nRunning under: Windows 10 x64 (build 19045)\\r\\n\\r\\nMatrix products: default\\r\\n\\r\\nlocale:\\r\\n[1] LC_COLLATE=English_Australia.1252  LC_CTYPE=English_Australia.1252    LC_MONETARY=English_Australia.1252 LC_NUMERIC=C                      \\r\\n[5] LC_TIME=English_Australia.1252    \\r\\n\\r\\nattached base packages:\\r\\n[1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n\\r\\nother attached packages:\\r\\n[1] dplyr_1.0.9    testthat_3.1.4\\r\\n```\\r\\n\\r\\nI note that this fails:\\r\\n```\\r\\nlibrary(testthat)\\r\\nlibrary(dplyr)\\r\\n\\r\\ntest_that(\\\"distinct respects encodings (#1179)\\\", {\\r\\n  x <- c(\\\"Montr\\\\u00e9al\\\", \\\"Montr\\\\u00e9al\\\")\\r\\n  Encoding(x[2]) <- \\\"\\\"\\r\\n  df <- data.frame(x=x)\\r\\n  expect_equal( nrow(distinct(df)), 1L )\\r\\n})\\r\\n```\\r\\n\\r\\n```\\r\\n-- Failure (Line 5): distinct respects encodings (#1179) -----------------------\\r\\nnrow(distinct(df)) not equal to 1L.\\r\\n1/1 mismatches\\r\\n[1] 2 - 1 == 1\\r\\n\\r\\nError in reporter$stop_if_needed() : Test failed\\r\\n```\\r\\n\\r\\nThough when I try it with my data it is fine\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6924/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       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     \"login\": \"kaz462\", #>       \"id\": 47867131, #>       \"node_id\": \"MDQ6VXNlcjQ3ODY3MTMx\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/47867131?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/kaz462\", #>       \"html_url\": \"https://github.com/kaz462\", #>       \"followers_url\": \"https://api.github.com/users/kaz462/followers\", #>       \"following_url\": \"https://api.github.com/users/kaz462/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/kaz462/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/kaz462/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/kaz462/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/kaz462/orgs\", #>       \"repos_url\": \"https://api.github.com/users/kaz462/repos\", #>       \"events_url\": \"https://api.github.com/users/kaz462/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/kaz462/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 6, #>     \"created_at\": \"2023-08-31T00:49:25Z\", #>     \"updated_at\": \"2023-10-21T09:49:38Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Is the following example a bug in `near`?\\r\\n```r\\r\\n> near(1.1 * 100 * 10^200, 110 * 10^200)\\r\\n[1] FALSE\\r\\n```\\r\\n_Originally posted by @bundfussr in https://github.com/pharmaverse/admiral/issues/2060#issuecomment-1691876301_\\r\\n\\r\\nThe same example works as expected with `base::all.equal()`\\r\\n```r\\r\\n> all.equal(1.1 * 100 * 10^200, 110 * 10^200)\\r\\n[1] TRUE\\r\\n```       \", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6921/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6921/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6917\", #>     \"id\": 1862427308, #>     \"node_id\": \"I_kwDOAGIUpc5vAmKs\", #>     \"number\": 6917, #>     \"title\": \"Add natural sort option to `arrange()`\", #>     \"user\": { #>       \"login\": \"bounlu\", #>       \"id\": 17899927, #>       \"node_id\": \"MDQ6VXNlcjE3ODk5OTI3\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/17899927?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/bounlu\", #>       \"html_url\": \"https://github.com/bounlu\", #>       \"followers_url\": \"https://api.github.com/users/bounlu/followers\", #>       \"following_url\": \"https://api.github.com/users/bounlu/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/bounlu/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/bounlu/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/bounlu/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/bounlu/orgs\", #>       \"repos_url\": \"https://api.github.com/users/bounlu/repos\", #>       \"events_url\": \"https://api.github.com/users/bounlu/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/bounlu/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-08-23T01:57:49Z\", #>     \"updated_at\": \"2023-08-23T13:16:51Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Currently there is no option for `arrange()` to mimic the natural/human sorting of columns containing alphanumerical characters. In Bash, this can be achieved by `sort -V`. Please add this feature to `arrange()`.\\r\\n\\r\\n```\\r\\ndf %>% arrange(Sample)\\r\\n\\r\\nSample\\r\\nS10a\\r\\nS10b\\r\\nS11a\\r\\nS11b\\r\\nS12a\\r\\nS12b\\r\\nS13a\\r\\nS13b\\r\\nS14a\\r\\nS14b\\r\\nS15a\\r\\nS15b\\r\\nS16\\r\\nS17\\r\\nS18\\r\\nS19\\r\\nS1a\\r\\nS1b\\r\\nS2a\\r\\nS2b\\r\\nS3a\\r\\nS3b\\r\\nS4a\\r\\nS4b\\r\\nS5a\\r\\nS5b\\r\\nS6a\\r\\nS6b\\r\\nS7a\\r\\nS7b\\r\\nS8\\r\\nS9\\r\\n```\\r\\n\\r\\nIn Bash, we can sort the same column with `sort -V`:\\r\\n\\r\\n```\\r\\n$ sort -V Sample\\r\\nS1a\\r\\nS1b\\r\\nS2a\\r\\nS2b\\r\\nS3a\\r\\nS3b\\r\\nS4a\\r\\nS4b\\r\\nS5a\\r\\nS5b\\r\\nS6a\\r\\nS6b\\r\\nS7a\\r\\nS7b\\r\\nS8\\r\\nS9\\r\\nS10a\\r\\nS10b\\r\\nS11a\\r\\nS11b\\r\\nS12a\\r\\nS12b\\r\\nS13a\\r\\nS13b\\r\\nS14a\\r\\nS14b\\r\\nS15a\\r\\nS15b\\r\\nS16\\r\\nS17\\r\\nS18\\r\\nS19\\r\\n```\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6917/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6915\", #>     \"id\": 1858206506, #>     \"node_id\": \"I_kwDOAGIUpc5uwfsq\", #>     \"number\": 6915, #>     \"title\": \"FR: `rows_clean()`?\", #>     \"user\": { #>       \"login\": \"krlmlr\", #>       \"id\": 1741643, #>       \"node_id\": \"MDQ6VXNlcjE3NDE2NDM=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/1741643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/krlmlr\", #>       \"html_url\": \"https://github.com/krlmlr\", #>       \"followers_url\": \"https://api.github.com/users/krlmlr/followers\", #>       \"following_url\": \"https://api.github.com/users/krlmlr/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/krlmlr/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-20T17:27:26Z\", #>     \"updated_at\": \"2023-08-20T17:27:26Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Do we want to add a function that clears all rows to the `rows_*()` family? For data frames, this is `df[0, ]`, but this will be useful for databases and `in_place = TRUE` .\\r\\n\\r\\nDownstream: https://github.com/cynkra/dm/issues/851.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6915/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6913\", #>     \"id\": 1850514467, #>     \"node_id\": \"I_kwDOAGIUpc5uTJwj\", #>     \"number\": 6913, #>     \"title\": \"When a data frame has an \\\"n\\\" column, sometime count() automatically uses it to weight counts, other times it does not\", #>     \"user\": { #>       \"login\": \"zshipstead\", #>       \"id\": 95093393, #>       \"node_id\": \"U_kgDOBasCkQ\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/95093393?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/zshipstead\", #>       \"html_url\": \"https://github.com/zshipstead\", #>       \"followers_url\": \"https://api.github.com/users/zshipstead/followers\", #>       \"following_url\": \"https://api.github.com/users/zshipstead/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/zshipstead/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/zshipstead/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/zshipstead/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/zshipstead/orgs\", #>       \"repos_url\": \"https://api.github.com/users/zshipstead/repos\", #>       \"events_url\": \"https://api.github.com/users/zshipstead/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/zshipstead/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-14T20:46:01Z\", #>     \"updated_at\": \"2023-08-14T20:46:01Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I have a data frame that has a column with n. Vars are\\r\\n\\r\\nIdentifier\\r\\nGroupName\\r\\nn (which was a count used to determine group name)\\r\\n\\r\\nI have the same line of code that I run, so it is not a matter of me typing differently. I want to count the group name\\r\\n\\r\\ndata %>% count(GroupName) %>% distinct()\\r\\n\\r\\nSometimes when I run this code, it gives me a simple count of the different group names. Other times it weighs them based on n. Obviously it stops if I rename the n column, but the inconsistency of performance is very concerning.\\r\\n\\r\\nAre there known conflicts with other packages I might have loaded?\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6913/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6912\", #>     \"id\": 1849765675, #>     \"node_id\": \"I_kwDOAGIUpc5uQS8r\", #>     \"number\": 6912, #>     \"title\": \"Catch and rethrow the \\\"overflow\\\" error from vctrs during joins\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 1257707950, #>         \"node_id\": \"MDU6TGFiZWwxMjU3NzA3OTUw\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/tables%20%F0%9F%A7%AE\", #>         \"name\": \"tables 🧮\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"joins and set operations\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-14T13:20:20Z\", #>     \"updated_at\": \"2023-08-14T13:20:20Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"See https://github.com/r-lib/vctrs/pull/1869, requires dev vctrs right now.\\r\\n\\r\\nWe could throw a much more informative error. Probably advising the user to check their join keys, because a misspecified join is typically the source of this overflow (as seen by many people opening vctrs issues about this)\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6912/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909/labels{/name}\", #>     \"comments_url\": 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\"starred_url\": \"https://api.github.com/users/krlmlr/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/krlmlr/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/krlmlr/orgs\", #>       \"repos_url\": \"https://api.github.com/users/krlmlr/repos\", #>       \"events_url\": \"https://api.github.com/users/krlmlr/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/krlmlr/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 2, #>     \"created_at\": \"2023-08-12T08:16:34Z\", #>     \"updated_at\": \"2023-08-24T03:06:56Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"draft\": false, #>     \"pull_request\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/pulls/6909\", #>       \"html_url\": \"https://github.com/tidyverse/dplyr/pull/6909\", #>       \"diff_url\": \"https://github.com/tidyverse/dplyr/pull/6909.diff\", #>       \"patch_url\": \"https://github.com/tidyverse/dplyr/pull/6909.patch\", #>       \"merged_at\": {} #>     }, #>     \"body\": \"for duckplyr.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6909/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6906/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6906\", #>     \"id\": 1839401013, #>     \"node_id\": \"I_kwDOAGIUpc5towg1\", #>     \"number\": 6906, #>     \"title\": \"Filtering ordered factor via between() does not agree with filtering using a conditional expression \", #>     \"user\": { #>       \"login\": \"Generalized\", #>       \"id\": 60151643, #>       \"node_id\": \"MDQ6VXNlcjYwMTUxNjQz\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/60151643?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/Generalized\", #>       \"html_url\": \"https://github.com/Generalized\", #>       \"followers_url\": \"https://api.github.com/users/Generalized/followers\", #>       \"following_url\": \"https://api.github.com/users/Generalized/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/Generalized/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/Generalized/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/Generalized/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/Generalized/orgs\", #>       \"repos_url\": \"https://api.github.com/users/Generalized/repos\", #>       \"events_url\": \"https://api.github.com/users/Generalized/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/Generalized/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 3, #>     \"created_at\": \"2023-08-07T12:55:59Z\", #>     \"updated_at\": \"2023-08-13T03:15:52Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"The result of using `between()` in filtering is not equivalent to evaluating a conditional expression when working with ordered factors.\\r\\n\\r\\n```{r}\\r\\n> (x <- data.frame(Visit = c(\\\"Discharge\\\", \\\"Month 3\\\", \\\"Month 6\\\", \\\"Month 12\\\", \\\"Month 20\\\")))\\r\\n      Visit\\r\\n1 Discharge\\r\\n2   Month 3\\r\\n3   Month 6\\r\\n4  Month 12\\r\\n5  Month 20\\r\\n\\r\\n> class(x$Visit)\\r\\n[1] \\\"character\\\"\\r\\n```\\r\\n\\r\\nNow let's make it an ordered factor with assumed levels (used later for other operations):\\r\\n```{r}\\r\\n> (x$Visit <- factor(x$Visit, levels = c(\\\"Baseline\\\", \\\"Discharge\\\", \\\"Month 3\\\", \\\"Month 6\\\", \\\"Month 12\\\", \\\"Month 20\\\", \\\"Premature\\\"), ordered = TRUE))\\r\\n[1] Discharge Month 3   Month 6   Month 12  Month 20 \\r\\nLevels: Baseline < Discharge < Month 3 < Month 6 < Month 12 < Month 20 < Premature\\r\\n```\\r\\n\\r\\nWhen filtering using the conjunction of conditions it works\\r\\n```{r}\\r\\n> x %>% filter(Visit >= \\\"Discharge\\\" & Visit <= \\\"Month 20\\\")\\r\\n      Visit\\r\\n1 Discharge\\r\\n2   Month 3\\r\\n3   Month 6\\r\\n4  Month 12\\r\\n5  Month 20\\r\\n```\\r\\nWhen using the convenient between(), it doesn't\\r\\n```{r}\\r\\n> x %>% filter(between(Visit, \\\"Discharge\\\", \\\"Month 20\\\"))\\r\\n      Visit\\r\\n1 Discharge\\r\\n2  Month 12\\r\\n3  Month 20\\r\\n```\\r\\n2 items are missing in the output.\\r\\n\\r\\n-----\\r\\nR version 4.2.0 (2022-04-22 ucrt)\\r\\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\\r\\nRunning under: Windows 10 x64 (build 19045)\\r\\n\\r\\n> packageVersion(\\\"dplyr\\\")\\r\\n[1] ‘1.1.1’\", #>     \"reactions\": { #>       \"url\": 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\"id\": 1839123639, #>     \"node_id\": \"I_kwDOAGIUpc5tnsy3\", #>     \"number\": 6905, #>     \"title\": \"`bind_rows()` for database tables\", #>     \"user\": { #>       \"login\": \"mgirlich\", #>       \"id\": 18258854, #>       \"node_id\": \"MDQ6VXNlcjE4MjU4ODU0\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/18258854?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/mgirlich\", #>       \"html_url\": \"https://github.com/mgirlich\", #>       \"followers_url\": \"https://api.github.com/users/mgirlich/followers\", #>       \"following_url\": \"https://api.github.com/users/mgirlich/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/mgirlich/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/mgirlich/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/mgirlich/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/mgirlich/orgs\", #>       \"repos_url\": \"https://api.github.com/users/mgirlich/repos\", #>       \"events_url\": \"https://api.github.com/users/mgirlich/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/mgirlich/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-07T10:06:08Z\", #>     \"updated_at\": \"2023-08-07T10:06:08Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"It would be nice if `bind_rows()` would work for database tables.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\nlibrary(purrr)\\r\\ncon <- DBI::dbConnect(RSQLite::SQLite(), \\\":memory:\\\")\\r\\n\\r\\n# Create random slices of mtcars\\r\\ntables <-\\r\\n  1:5 |>\\r\\n  map(function(n) {\\r\\n    tbl_name <- paste0(\\\"mtcars_\\\", n)\\r\\n    copy_to(con, slice_sample(mtcars, n = 3), tbl_name)\\r\\n\\r\\n    tbl(con, tbl_name)\\r\\n  })\\r\\nbind_rows(!!!tables)\\r\\n#> Error in `bind_rows()`:\\r\\n#> ! Argument 1 must be a data frame or a named atomic vector.\\r\\n#> Backtrace:\\r\\n#>     ▆\\r\\n#>  1. └─dplyr::bind_rows(!!!tables)\\r\\n#>  2.   └─rlang::abort(glue(\\\"Argument {i} must be a data frame or a named atomic vector.\\\"))\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-08-07 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\\r\\n\\r\\nI know there were issues with the double dispatch and what happens if local tables and database tables are mixed.\\r\\nBut I think it would be sufficient if either all inputs are local tables or database tables.\\r\\nThis was also requested again in dbplyr: https://github.com/tidyverse/dbplyr/issues/1342.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6905/reactions\", #>       \"total_count\": 5, #>       \"+1\": 5, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6905/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6900\", #>     \"id\": 1835459833, #>     \"node_id\": \"I_kwDOAGIUpc5tZuT5\", #>     \"number\": 6900, #>     \"title\": \"Improve na_if documentation re vctrs coercion rules\", #>     \"user\": { #>       \"login\": \"DanielEWeeks\", #>       \"id\": 8495972, #>       \"node_id\": \"MDQ6VXNlcjg0OTU5NzI=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/8495972?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DanielEWeeks\", #>       \"html_url\": \"https://github.com/DanielEWeeks\", #>       \"followers_url\": \"https://api.github.com/users/DanielEWeeks/followers\", #>       \"following_url\": \"https://api.github.com/users/DanielEWeeks/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DanielEWeeks/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DanielEWeeks/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DanielEWeeks/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DanielEWeeks/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DanielEWeeks/repos\", #>       \"events_url\": \"https://api.github.com/users/DanielEWeeks/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DanielEWeeks/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-08-03T17:29:55Z\", #>     \"updated_at\": \"2023-08-03T17:30:18Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"**Brief description of the problem**\\r\\n\\r\\nUsing `na_if` it generated error messages that I found mystifying:\\r\\n\\r\\n```r\\r\\n> na_if(\\\"ID\\\", -3333)\\r\\nError in `na_if()`:\\r\\n! Can't convert `y` <double> to match type of `x` <character>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n> na_if(\\\"ID\\\", \\\"-3333\\\")\\r\\n[1] \\\"ID\\\"\\r\\n> na_if( 1, \\\"-3333\\\")\\r\\nError in `na_if()`:\\r\\n! Can't convert `y` <character> to match type of `x` <double>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n> na_if( 1, -3333)\\r\\n[1] 1\\r\\n```\\r\\nCurrently the `na_if(x, y)` documentation simply states:\\r\\n\\r\\n\\\"y is cast to the type of x before comparison.\\\"\\r\\n\\r\\nso it sounds like it should be able, when doing `na_if(\\\"ID\\\", -3333)`, to cast the numeric `-3333` to character before doing the comparison.  \\r\\n\\r\\nSo I was initially mystified by this behavior (above), but then it was explained to me that `na_if` is using {vctrs} under the hood, so it is using `vctrs` coercion rules.   As such, please consider extending the `na_if` documentation for the `na_if` function with a bit more text and relevant examples to explain and clarify this.  \\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6900/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6897\", #>     \"id\": 1824687161, #>     \"node_id\": \"I_kwDOAGIUpc5swoQ5\", #>     \"number\": 6897, #>     \"title\": \"Using `across()` within `mutate()` is appreciably slower than mutating columns individually\", #>     \"user\": { #>       \"login\": \"MattJEM\", #>       \"id\": 26907416, #>       \"node_id\": \"MDQ6VXNlcjI2OTA3NDE2\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/26907416?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/MattJEM\", #>       \"html_url\": \"https://github.com/MattJEM\", #>       \"followers_url\": \"https://api.github.com/users/MattJEM/followers\", #>       \"following_url\": \"https://api.github.com/users/MattJEM/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/MattJEM/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/MattJEM/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/MattJEM/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/MattJEM/orgs\", #>       \"repos_url\": \"https://api.github.com/users/MattJEM/repos\", #>       \"events_url\": \"https://api.github.com/users/MattJEM/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/MattJEM/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-07-27T15:58:10Z\", #>     \"updated_at\": \"2023-07-28T04:41:03Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"If I group a dataset and apply the same function across multiple columns using `mutate(across(...))` I see a performance decrease compared to individually mutating the columns. It is 5.31s vs 0.053s in the reprex, but in my actual, much larger dataset the difference is 1.5 hours vs a couple of minutes.\\r\\n\\r\\n---\\r\\n\\r\\n`sessionInfo()`\\r\\n```r\\r\\nR version 4.3.1 (2023-06-16 ucrt)\\r\\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\\r\\nRunning under: Windows Server 2019 x64 (build 17763)\\r\\n\\r\\nMatrix products: default\\r\\n\\r\\n\\r\\nlocale:\\r\\n[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252\\r\\n[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    \\r\\n\\r\\ntime zone: America/New_York\\r\\ntzcode source: internal\\r\\n\\r\\nattached base packages:\\r\\n[1] stats     graphics  grDevices utils     datasets  methods   base     \\r\\n\\r\\nother attached packages:\\r\\n[1] modeldata_1.1.0 dplyr_1.1.2    \\r\\n\\r\\nloaded via a namespace (and not attached):\\r\\n [1] utf8_1.2.3        R6_2.5.1          tidyselect_1.2.0  magrittr_2.0.3    glue_1.6.2        tibble_3.2.1     \\r\\n [7] pkgconfig_2.0.3   generics_0.1.3    lifecycle_1.0.3   cli_3.6.1         fansi_1.0.4       vctrs_0.6.3      \\r\\n[13] withr_2.5.0       compiler_4.3.1    rstudioapi_0.15.0 tools_4.3.1       pillar_1.9.0      crayon_1.5.2     \\r\\n[19] rlang_1.1.1\\r\\n```\\r\\n---\\r\\nReprex\\r\\n```r\\r\\nlibrary(dplyr)\\r\\nlibrary(modeldata)\\r\\n\\r\\ndata(ames)\\r\\n\\r\\nstart_time1 <- Sys.time()\\r\\names_calc1 <- ames %>%\\r\\n  group_by(Year_Built, MS_Zoning) %>%\\r\\n  mutate(across(First_Flr_SF:TotRms_AbvGrd, mean, na.rm = TRUE, .names = '{.col}_mean')) %>%\\r\\n  ungroup()\\r\\nstop_time1 <- Sys.time()\\r\\n\\r\\nstart_time2 <- Sys.time()\\r\\names_calc2 <- ames %>%\\r\\n  group_by(Year_Built, MS_Zoning) %>%\\r\\n  mutate(First_Flr_SF_mean = mean(First_Flr_SF, na.rm = TRUE),\\r\\n         Second_Flr_SF_mean = mean(Second_Flr_SF, na.rm = TRUE),\\r\\n         Gr_Liv_Area_mean = mean(Gr_Liv_Area, na.rm = TRUE),\\r\\n         Bsmt_Full_Bath_mean = mean(Bsmt_Full_Bath, na.rm = TRUE),\\r\\n         Bsmt_Half_Bath_mean = mean(Bsmt_Half_Bath, na.rm = TRUE),\\r\\n         Full_Bath_mean = mean(Full_Bath, na.rm = TRUE),\\r\\n         Half_Bath_mean = mean(Half_Bath, na.rm = TRUE),\\r\\n         Bedroom_AbvGr_mean = mean(Bedroom_AbvGr, na.rm = TRUE),\\r\\n         Kitchen_AbvGr_mean = mean(Kitchen_AbvGr, na.rm = TRUE),\\r\\n         TotRms_AbvGrd_mean = mean(TotRms_AbvGrd, na.rm = TRUE)) %>%\\r\\n  ungroup()\\r\\nstop_time2 <- Sys.time()\\r\\n\\r\\nstop_time1 - start_time1 # Using across() takes 5.313556 secs\\r\\nstop_time2 - start_time2 # Individually mutating takes 0.05337405 secs\\r\\n```\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6897/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6896\", #>     \"id\": 1824054486, #>     \"node_id\": \"I_kwDOAGIUpc5suNzW\", #>     \"number\": 6896, #>     \"title\": \"`bind_rows` now failing when a column includes JSON vectors\", #>     \"user\": { #>       \"login\": \"James-G-Hill\", #>       \"id\": 2002036, #>       \"node_id\": \"MDQ6VXNlcjIwMDIwMzY=\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/2002036?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/James-G-Hill\", #>       \"html_url\": \"https://github.com/James-G-Hill\", #>       \"followers_url\": \"https://api.github.com/users/James-G-Hill/followers\", #>       \"following_url\": \"https://api.github.com/users/James-G-Hill/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/James-G-Hill/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/James-G-Hill/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/James-G-Hill/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/James-G-Hill/orgs\", #>       \"repos_url\": \"https://api.github.com/users/James-G-Hill/repos\", #>       \"events_url\": \"https://api.github.com/users/James-G-Hill/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/James-G-Hill/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-07-27T10:10:53Z\", #>     \"updated_at\": \"2023-07-27T10:10:53Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Using `bind_rows` (dplyr version 1.1.2) with tibbles including JSON produced from `jsonlite` produces and error whereas it previously worked (dplyr 1.0.0 for example)\\r\\n\\r\\n```r\\r\\ndplyr::bind_rows(\\r\\n  dplyr::tibble(msg = jsonlite::toJSON(list(\\\"a\\\"), auto_unbox = TRUE)),\\r\\n  dplyr::tibble(msg = jsonlite::toJSON(list(\\\"b\\\"), auto_unbox = TRUE))\\r\\n)\\r\\n```\\r\\n\\r\\nError:\\r\\n\\r\\n```\\r\\nError in `dplyr::bind_rows()`:\\r\\n! Can't convert `..1$msg` <json> to match type of `msg` <vctrs:::common_class_fallback>.\\r\\nRun `rlang::last_trace()` to see where the error occurred.\\r\\n```\\r\\n\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6896/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6895\", #>     \"id\": 1820741012, #>     \"node_id\": \"I_kwDOAGIUpc5shk2U\", #>     \"number\": 6895, #>     \"title\": \" Confirm if `dplyr::across` can pass same length of vector to  `.names` \", #>     \"user\": { #>       \"login\": \"ynsec37\", #>       \"id\": 98389771, #>       \"node_id\": \"U_kgDOBd1PCw\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/98389771?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/ynsec37\", #>       \"html_url\": \"https://github.com/ynsec37\", #>       \"followers_url\": \"https://api.github.com/users/ynsec37/followers\", #>       \"following_url\": \"https://api.github.com/users/ynsec37/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/ynsec37/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/ynsec37/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/ynsec37/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/ynsec37/orgs\", #>       \"repos_url\": \"https://api.github.com/users/ynsec37/repos\", #>       \"events_url\": \"https://api.github.com/users/ynsec37/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/ynsec37/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 1, #>     \"created_at\": \"2023-07-25T16:54:41Z\", #>     \"updated_at\": \"2023-08-01T17:18:07Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"Dear developer,\\r\\n\\r\\nI found the below example work well but no related description in current [official document](https://dplyr.tidyverse.org/reference/across.html).\\r\\n\\r\\n> .names\\t A glue specification that describes how to name the output columns. This can use {.col} to stand for the selected column name, and {.fn} to stand for the name of the function being applied. The default (NULL) is equivalent to \\\"{.col}\\\" for the single function case and \\\"{.col}_{.fn}\\\" for the case where a list is used for .fns.\\r\\n\\r\\n\\r\\n\\r\\nI just want to confirm whether this way is right or accepted, especilly when the new variable names can not simply be computed by `{.col}` or `{.fn}`\\r\\n\\r\\n```r\\r\\nlibrary(dplyr, warn.conflicts = FALSE)\\r\\n\\r\\ndf <- tibble::tibble(a = 1, b = 2, c = 3)\\r\\n\\r\\ncols <- c(\\\"a\\\", \\\"b\\\", \\\"c\\\")\\r\\nnew_cols <- c(\\\"x\\\", \\\"y\\\", \\\"z\\\")\\r\\n\\r\\ndf %>%\\r\\n  mutate(across(\\r\\n    .cols = all_of(cols),\\r\\n    .fns = ~ .x + 10,\\r\\n    .names = \\\"{new_cols}\\\"\\r\\n  ))\\r\\n#> # A tibble: 1 × 6\\r\\n#>       a     b     c     x     y     z\\r\\n#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#> 1     1     2     3    11    12    13\\r\\n```\\r\\nThank very much for your reply.\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/reactions\", #>       \"total_count\": 2, #>       \"+1\": 1, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 1 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6895/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6892\", #>     \"id\": 1818429552, #>     \"node_id\": \"I_kwDOAGIUpc5sYwhw\", #>     \"number\": 6892, #>     \"title\": \"dplyr::across inappropriately rewrites dollar indexes my function code\", #>     \"user\": { #>       \"login\": \"DarwinAwardWinner\", #>       \"id\": 228145, #>       \"node_id\": \"MDQ6VXNlcjIyODE0NQ==\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/228145?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DarwinAwardWinner\", #>       \"html_url\": \"https://github.com/DarwinAwardWinner\", #>       \"followers_url\": \"https://api.github.com/users/DarwinAwardWinner/followers\", #>       \"following_url\": \"https://api.github.com/users/DarwinAwardWinner/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DarwinAwardWinner/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DarwinAwardWinner/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DarwinAwardWinner/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DarwinAwardWinner/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DarwinAwardWinner/repos\", #>       \"events_url\": \"https://api.github.com/users/DarwinAwardWinner/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DarwinAwardWinner/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 10, #>     \"created_at\": \"2023-07-24T13:27:23Z\", #>     \"updated_at\": \"2023-07-31T18:02:26Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"I was getting a weird error inside the `mutate(across(...))` (see reprex), and by closely reading the stack trace I eventually realized it was because some function (presumably `dplyr::across`) is rewriting my function, changing the x in `desn$x` into e.g. `dens$mpg` (see line 10 of the stack trace). I guess this is because dplyr is rewriting every symbolic occurrence of the function arguments, including the `$x`. The rest of the reprex demonstrates 2 simple workarounds: using double bracket indexing to avoid referring to x as a symbol, and changing the argument name to avoid the name collision. However, debugging this error was rather confusing, since manually running the code on a test case didn't produce the error. I would expect the original code to work, since this function would work as expected in any other context, e.g. `lapply`.\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n#> \\r\\n#> Attaching package: 'dplyr'\\r\\n#> The following objects are masked from 'package:stats':\\r\\n#> \\r\\n#>     filter, lag\\r\\n#> The following objects are masked from 'package:base':\\r\\n#> \\r\\n#>     intersect, setdiff, setequal, union\\r\\nmtcars <- as_tibble(mtcars)\\r\\n\\r\\n## Fails\\r\\nmtcars %>%\\r\\n  mutate(across(where(is.numeric), .names = \\\"{.col}_KDensity\\\", function(x) {\\r\\n    dens <- density(x, bw = \\\"SJ\\\", n = 2048, na.rm = TRUE)\\r\\n    approx(dens$x, dens$y, xout = x, na.rm = FALSE, rule = 2)$y\\r\\n  }))\\r\\n#> Error in `mutate()`:\\r\\n#> ℹ In argument: `across(...)`.\\r\\n#> Caused by error in `across()`:\\r\\n#> ! Can't compute column `mpg_KDensity`.\\r\\n#> Caused by error in `xy.coords()`:\\r\\n#> ! 'x' and 'y' lengths differ\\r\\n#> Backtrace:\\r\\n#>      ▆\\r\\n#>   1. ├─mtcars %>% ...\\r\\n#>   2. ├─dplyr::mutate(...)\\r\\n#>   3. ├─dplyr:::mutate.data.frame(...)\\r\\n#>   4. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by)\\r\\n#>   5. │   ├─base::withCallingHandlers(...)\\r\\n#>   6. │   └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns)\\r\\n#>   7. │     ├─base::withCallingHandlers(...)\\r\\n#>   8. │     └─mask$eval_all_mutate(quo)\\r\\n#>   9. │       └─dplyr (local) eval()\\r\\n#>  10. ├─stats::approx(dens$mpg, dens$y, xout = mpg, na.rm = FALSE, rule = 2)\\r\\n#>  11. │ └─stats:::regularize.values(x, y, ties, missing(ties), na.rm = na.rm)\\r\\n#>  12. │   └─grDevices::xy.coords(x, y, setLab = FALSE)\\r\\n#>  13. │     └─base::stop(\\\"'x' and 'y' lengths differ\\\")\\r\\n#>  14. └─base::.handleSimpleError(...)\\r\\n#>  15.   └─dplyr (local) h(simpleError(msg, call))\\r\\n#>  16.     └─rlang::abort(msg, call = call(\\\"across\\\"), parent = cnd)\\r\\n\\r\\n## Succeeds\\r\\nmtcars %>%\\r\\n  mutate(across(where(is.numeric), .names = \\\"{.col}_KDensity\\\", function(x) {\\r\\n    dens <- density(x, bw = \\\"SJ\\\", n = 2048, na.rm = TRUE)\\r\\n    approx(dens[[\\\"x\\\"]], dens$y, xout = x, na.rm = FALSE, rule = 2)$y\\r\\n  }))\\r\\n#> # A tibble: 32 × 22\\r\\n#>      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\\r\\n#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#>  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\\r\\n#>  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\\r\\n#>  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\\r\\n#>  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\\r\\n#>  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\\r\\n#>  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\\r\\n#>  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\\r\\n#>  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\\r\\n#>  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\\r\\n#> 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\\r\\n#> # ℹ 22 more rows\\r\\n#> # ℹ 11 more variables: mpg_KDensity <dbl>, cyl_KDensity <dbl>,\\r\\n#> #   disp_KDensity <dbl>, hp_KDensity <dbl>, drat_KDensity <dbl>,\\r\\n#> #   wt_KDensity <dbl>, qsec_KDensity <dbl>, vs_KDensity <dbl>,\\r\\n#> #   am_KDensity <dbl>, gear_KDensity <dbl>, carb_KDensity <dbl>\\r\\n\\r\\n## Also succeeds\\r\\nmtcars %>%\\r\\n  mutate(across(where(is.numeric), .names = \\\"{.col}_KDensity\\\", function(xx) {\\r\\n    dens <- density(xx, bw = \\\"SJ\\\", n = 2048, na.rm = TRUE)\\r\\n    approx(dens$x, dens$y, xout = xx, na.rm = FALSE, rule = 2)$y\\r\\n  }))\\r\\n#> # A tibble: 32 × 22\\r\\n#>      mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\\r\\n#>    <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n#>  1  21       6  160    110  3.9   2.62  16.5     0     1     4     4\\r\\n#>  2  21       6  160    110  3.9   2.88  17.0     0     1     4     4\\r\\n#>  3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1\\r\\n#>  4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1\\r\\n#>  5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2\\r\\n#>  6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1\\r\\n#>  7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4\\r\\n#>  8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2\\r\\n#>  9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2\\r\\n#> 10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4\\r\\n#> # ℹ 22 more rows\\r\\n#> # ℹ 11 more variables: mpg_KDensity <dbl>, cyl_KDensity <dbl>,\\r\\n#> #   disp_KDensity <dbl>, hp_KDensity <dbl>, drat_KDensity <dbl>,\\r\\n#> #   wt_KDensity <dbl>, qsec_KDensity <dbl>, vs_KDensity <dbl>,\\r\\n#> #   am_KDensity <dbl>, gear_KDensity <dbl>, carb_KDensity <dbl>\\r\\n```\\r\\n\\r\\n<sup>Created on 2023-07-24 with [reprex v2.0.2](https://reprex.tidyverse.org)<\\/sup>\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6892/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6891\", #>     \"id\": 1818419328, #>     \"node_id\": \"I_kwDOAGIUpc5sYuCA\", #>     \"number\": 6891, #>     \"title\": \"The case for `drop_rows()` and `keep_rows()` in relation to `filter()`\", #>     \"user\": { #>       \"login\": \"DavisVaughan\", #>       \"id\": 19150088, #>       \"node_id\": \"MDQ6VXNlcjE5MTUwMDg4\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19150088?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/DavisVaughan\", #>       \"html_url\": \"https://github.com/DavisVaughan\", #>       \"followers_url\": \"https://api.github.com/users/DavisVaughan/followers\", #>       \"following_url\": \"https://api.github.com/users/DavisVaughan/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/DavisVaughan/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/DavisVaughan/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/DavisVaughan/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/DavisVaughan/orgs\", #>       \"repos_url\": \"https://api.github.com/users/DavisVaughan/repos\", #>       \"events_url\": \"https://api.github.com/users/DavisVaughan/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/DavisVaughan/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [ #>       { #>         \"id\": 17708200, #>         \"node_id\": \"MDU6TGFiZWwxNzcwODIwMA==\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/feature\", #>         \"name\": \"feature\", #>         \"color\": \"B4C3AE\", #>         \"default\": false, #>         \"description\": \"a feature request or enhancement\" #>       }, #>       { #>         \"id\": 334471510, #>         \"node_id\": \"MDU6TGFiZWwzMzQ0NzE1MTA=\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/verbs%20:running_woman:\", #>         \"name\": \"verbs :running_woman:\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"\" #>       }, #>       { #>         \"id\": 3407327207, #>         \"node_id\": \"LA_kwDOAGIUpc7LF6_n\", #>         \"url\": \"https://api.github.com/repos/tidyverse/dplyr/labels/rows%20%E2%86%95%EF%B8%8F\", #>         \"name\": \"rows ↕️\", #>         \"color\": \"eeeeee\", #>         \"default\": false, #>         \"description\": \"Operations on rows: filter(), slice(), arrange()\" #>       } #>     ], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 4, #>     \"created_at\": \"2023-07-24T13:22:13Z\", #>     \"updated_at\": \"2023-08-01T16:46:38Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"MEMBER\", #>     \"active_lock_reason\": {}, #>     \"body\": \"There have been quite a few requests in the past for an \\\"anti filter\\\", i.e. I want to specify a set of conditions that determine which rows to _drop_. Additionally, it has traditionally been somewhat difficult to explain that `filter()` is about specifying rows to _keep_; that isn't really explained clearly in the verb name. Also, we've also seen in the past that it is mildly confusing that `select()` is about columns and `filter()` is about rows, again, there isn't anything in the verb names to describe the difference.\\r\\n\\r\\n---\\r\\n\\r\\nOne thing we could consider doing is to add two new very explicit verbs:\\r\\n- `keep_rows(data, ..., by = , missing = )`\\r\\n- `drop_rows(data, ..., by = , missing = )`\\r\\n\\r\\nWhere `keep_rows()` is equivalent to `filter()`, and `drop_rows()` is the opposite.\\r\\n\\r\\nTo be very clear, `filter()` would _never_ disappear. We would, however, consider superseding it in favor of these if they prove to be successful, which really only means we'd start using them in docs and workshops instead of `filter()`. We'd even consider not even superseding `filter()`, which many people find scary. Instead we'd just be aliasing `keep_rows()` as `filter()`.\\r\\n\\r\\nThe biggest annoyance when writing a \\\"drop\\\" style expression with `filter()` is that you first have to write a \\\"keep\\\" expression and then painfully invert it. i.e.:\\r\\n\\r\\n\\\"drop rows from `df` where `a` and `b` and `c` are `TRUE`\\\"\\r\\n\\r\\n``` r\\r\\nlibrary(dplyr)\\r\\n\\r\\ndf <- tibble(\\r\\n  id = c(1, 2, 3),\\r\\n  a = c(TRUE, NA, TRUE),\\r\\n  b = c(FALSE, TRUE, TRUE),\\r\\n  c = c(TRUE, TRUE, TRUE)\\r\\n)\\r\\ndf\\r\\n#> # A tibble: 3 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     1 TRUE  FALSE TRUE \\r\\n#> 2     2 NA    TRUE  TRUE \\r\\n#> 3     3 TRUE  TRUE  TRUE\\r\\n\\r\\n# \\\"keep rows where a and b and c are TRUE\\\"\\r\\n# this nicely drops NAs because they don't match our specified criteria\\r\\nfilter(df, a, b, c)\\r\\n#> # A tibble: 1 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     3 TRUE  TRUE  TRUE\\r\\n\\r\\n# \\\"drop rows where a and b and c are TRUE\\\"\\r\\n# this AWFULLY drops NAs because of how filter() works!\\r\\n# NA doesn't match our criteria so shouldnt be seen as something to drop\\r\\nfilter(df, !(a & b & c))\\r\\n#> # A tibble: 1 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     1 TRUE  FALSE TRUE\\r\\n```\\r\\n\\r\\nNote that even the seemingly correct \\\"drop\\\" expression is actually wrong when it comes to handling missing values. It is fairly hard to get this right.\\r\\n\\r\\nThe `drop_rows()` version would be:\\r\\n\\r\\n```r\\r\\ndf %>% drop_rows(a, b, c)\\r\\n#> # A tibble: 2 × 4\\r\\n#>      id a     b     c    \\r\\n#>   <dbl> <lgl> <lgl> <lgl>\\r\\n#> 1     1 TRUE  FALSE TRUE \\r\\n#> 2     2 NA    TRUE  TRUE \\r\\n```\\r\\n\\r\\nWhere `NA` isn't considered something you \\\"drop\\\" by default, but would be if `missing` was tweaked to whatever we decide means \\\"treat a missing value like `TRUE`\\\".\\r\\n\\r\\n---\\r\\n\\r\\nA few other notes:\\r\\n- `missing` is from https://github.com/tidyverse/dplyr/issues/6560 and controls how missing values are treated. By default, both functions would treat an `NA` as `FALSE` (i.e. missing values are never kept or dropped), but could be made to treat them as `TRUE` or an error. Though I don't think `missing = c(\\\"keep\\\", \\\"drop\\\", \\\"error\\\")` works uniformly for both verbs so we'd need to think of another parameterization.\\r\\n- Both functions would support `if_all()` and `if_any()`, which I think form nice natural sentences. \\\"drop rows if any are NA\\\" sounds pretty good for `drop_rows(df, if_any(c(a, b), is.na))`. That is like `tidyr::drop_na()`.\\r\\n- Neither would support `across()`, which we have been deprecating from `filter()` for a little while now.\\r\\n- Both functions would combine multiple conditions using `&`, as that is typically the natural way to combine multiple conditions and you can always get `|` behavior with either an explicit `|` or by using multiple calls to the function. i.e. `df %>% drop_rows(x > 5 | y > 6)` is the same as `df %>% drop_rows(x > 5) %>% drop_rows(y > 6)` (and you can't do that split trick with `&`). `if_any()` can also work for `|` when you need to apply the same function to multiple columns.\\r\\n- Both functions would support `by`\\r\\n\\r\\nSome issues and questions related to this:\\r\\n- https://github.com/tidyverse/dplyr/issues/6888\\r\\n- https://github.com/tidyverse/dplyr/issues/1527\\r\\n- https://github.com/tidyverse/dplyr/issues/741\\r\\n- https://github.com/tidyverse/dplyr/issues/1797\\r\\n- https://stackoverflow.com/questions/45661377/delete-rows-based-on-multiple-conditions-with-dplyr\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6891/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   }, #>   { #>     \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890\", #>     \"repository_url\": \"https://api.github.com/repos/tidyverse/dplyr\", #>     \"labels_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/labels{/name}\", #>     \"comments_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/comments\", #>     \"events_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/events\", #>     \"html_url\": \"https://github.com/tidyverse/dplyr/issues/6890\", #>     \"id\": 1817996283, #>     \"node_id\": \"I_kwDOAGIUpc5sXGv7\", #>     \"number\": 6890, #>     \"title\": \"Unexpected/impractical behaviour of rowwise() in combination with mutate_all()\", #>     \"user\": { #>       \"login\": \"martijnvanattekum\", #>       \"id\": 19334781, #>       \"node_id\": \"MDQ6VXNlcjE5MzM0Nzgx\", #>       \"avatar_url\": \"https://avatars.githubusercontent.com/u/19334781?v=4\", #>       \"gravatar_id\": \"\", #>       \"url\": \"https://api.github.com/users/martijnvanattekum\", #>       \"html_url\": \"https://github.com/martijnvanattekum\", #>       \"followers_url\": \"https://api.github.com/users/martijnvanattekum/followers\", #>       \"following_url\": \"https://api.github.com/users/martijnvanattekum/following{/other_user}\", #>       \"gists_url\": \"https://api.github.com/users/martijnvanattekum/gists{/gist_id}\", #>       \"starred_url\": \"https://api.github.com/users/martijnvanattekum/starred{/owner}{/repo}\", #>       \"subscriptions_url\": \"https://api.github.com/users/martijnvanattekum/subscriptions\", #>       \"organizations_url\": \"https://api.github.com/users/martijnvanattekum/orgs\", #>       \"repos_url\": \"https://api.github.com/users/martijnvanattekum/repos\", #>       \"events_url\": \"https://api.github.com/users/martijnvanattekum/events{/privacy}\", #>       \"received_events_url\": \"https://api.github.com/users/martijnvanattekum/received_events\", #>       \"type\": \"User\", #>       \"site_admin\": false #>     }, #>     \"labels\": [], #>     \"state\": \"open\", #>     \"locked\": false, #>     \"assignee\": {}, #>     \"assignees\": [], #>     \"milestone\": {}, #>     \"comments\": 0, #>     \"created_at\": \"2023-07-24T09:16:52Z\", #>     \"updated_at\": \"2023-07-24T09:16:52Z\", #>     \"closed_at\": {}, #>     \"author_association\": \"NONE\", #>     \"active_lock_reason\": {}, #>     \"body\": \"When trying to apply a function using `mutate_all()` to each **row** of a data frame using `rowwise()`, it seems the function only considers individual values, rather than the complete row. \\r\\n\\r\\nComparing column-wise with rowwise operations:\\r\\n```\\r\\n# Columnwise - considers the complete column when applying the function\\r\\nlibrary(dplyr)\\r\\nhead(mtcars) %>% mutate_all(rank)\\r\\n\\r\\n>                   mpg cyl disp hp drat wt qsec vs am gear carb\\r\\n> Mazda RX4         3.5 3.5  2.5  4  5.5  2  1.0  2  5    5  5.5\\r\\n> Mazda RX4 Wag     3.5 3.5  2.5  4  5.5  3  2.5  2  5    5  5.5\\r\\n> Datsun 710        6.0 1.0  1.0  1  4.0  1  4.0  5  5    5  2.0\\r\\n> Hornet 4 Drive    5.0 3.5  5.0  4  2.0  4  5.0  5  2    2  2.0\\r\\n> Hornet Sportabout 2.0 6.0  6.0  6  3.0  5  2.5  2  2    2  4.0\\r\\n> Valiant           1.0 3.5  4.0  2  1.0  6  6.0  5  2    2  2.0\\r\\n\\r\\n# Rowwise - considers only the individual values within the row when applying the function, hence always returning rank 1\\r\\nlibrary(dplyr)\\r\\nhead(mtcars) %>% rowwise() %>% mutate_all(rank)\\r\\n\\r\\n> # A tibble: 6 × 11\\r\\n> # Rowwise: \\r\\n>     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb\\r\\n>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>\\r\\n> 1     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 2     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 3     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 4     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 5     1     1     1     1     1     1     1     1     1     1     1\\r\\n> 6     1     1     1     1     1     1     1     1     1     1     1\\r\\n\\r\\n# Expected result\\r\\n# Can be obtained running head(mtcars) %>% apply(1, \\\\(row) rank(row)) %>% t() %>% data.frame()\\r\\n\\r\\n>                   mpg cyl disp hp drat wt qsec  vs  am gear carb\\r\\n> Mazda RX4           9 7.0   11 10    4  3    8 1.0 2.0  5.5  5.5\\r\\n> Mazda RX4 Wag       9 7.0   11 10    4  3    8 1.0 2.0  5.5  5.5\\r\\n> Datsun 710          9 6.5   11 10    5  4    8 2.0 2.0  6.5  2.0\\r\\n> Hornet 4 Drive      9 7.0   11 10    5  6    8 2.5 1.0  4.0  2.5\\r\\n> Hornet Sportabout   9 7.0   11 10    5  6    8 1.5 1.5  4.0  3.0\\r\\n> Valiant             8 7.0   11 10    4  6    9 2.5 1.0  5.0  2.5\\r\\n```\\r\\n\\r\\nWould it be possible to obtain the expected result with `rowwise()`?\", #>     \"reactions\": { #>       \"url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/reactions\", #>       \"total_count\": 0, #>       \"+1\": 0, #>       \"-1\": 0, #>       \"laugh\": 0, #>       \"hooray\": 0, #>       \"confused\": 0, #>       \"heart\": 0, #>       \"rocket\": 0, #>       \"eyes\": 0 #>     }, #>     \"timeline_url\": \"https://api.github.com/repos/tidyverse/dplyr/issues/6890/timeline\", #>     \"performed_via_github_app\": {}, #>     \"state_reason\": {} #>   } #> ]   ## Automatic pagination users <- gh(\"/users\", .limit = 50) length(users) #> [1] 50 if (FALSE) { ## Access developer preview of Licenses API (in preview as of 2015-09-24) gh(\"/licenses\") # used to error code 415 gh(\"/licenses\", .accept = \"application/vnd.github.drax-preview+json\") } if (FALSE) { ## Access Github Enterprise API ## Use GITHUB_API_URL environment variable to change the default. gh(\"/user/repos\", type = \"public\", .api_url = \"https://github.foobar.edu/api/v3\") } if (FALSE) { ## Use I() to force body part to be sent as an array, even if length 1 ## This works whether assignees has length 1 or > 1 assignees <- \"gh_user\" assignees <- c(\"gh_user1\", \"gh_user2\") gh(\"PATCH /repos/OWNER/REPO/issues/1\", assignees = I(assignees)) } if (FALSE) { ## There are two ways to send JSON data. One is that you supply one or ## more objects that will be converted to JSON automatically via ## jsonlite::toJSON(). In this case sometimes you need to use ## jsonlite::unbox() because fromJSON() creates lists from scalar vectors ## by default. The Content-Type header is automatically added in this ## case. For example this request turns on GitHub Pages, using this ## API: https://docs.github.com/v3/repos/pages/#enable-a-pages-site  gh::gh(   \"POST /repos/{owner}/{repo}/pages\",   owner = \"r-lib\",   repo = \"gh\",   source = list(     branch = jsonlite::unbox(\"gh-pages\"),     path = jsonlite::unbox(\"/\")   ),   .send_headers = c(Accept = \"application/vnd.github.switcheroo-preview+json\") )  ## The second way is to handle the JSON encoding manually, and supply it ## as a raw vector in an unnamed argument, and also a Content-Type header:  body <- '{ \"source\": { \"branch\": \"gh-pages\", \"path\": \"/\" } }' gh::gh(   \"POST /repos/{owner}/{repo}/pages\",   owner = \"r-lib\",   repo = \"gh\",   charToRaw(body),   .send_headers = c(     Accept = \"application/vnd.github.switcheroo-preview+json\",     \"Content-Type\" = \"application/json\"   ) ) }"},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":null,"dir":"Reference","previous_headings":"","what":"A simple interface for the GitHub GraphQL API v4. — gh_gql","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"See GraphQL API : https://docs.github.com/graphql","code":""},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"","code":"gh_gql(query, ...)"},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"query GraphQL query, string. ... Name-value pairs giving API parameters. matched endpoint placeholders, sent query parameters GET requests, JSON body POST requests. one unnamed parameter, raw vector, JSON encoded, sent raw data, . can used example add assets releases. Named NULL values silently dropped. GET requests, named NA values trigger error. methods, named NA values included body request, JSON null.","code":""},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"Note: pagination .limit argument work currently, pagination GraphQL API different v3 API. need pagination GraphQL, need manually.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh_gql.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"A simple interface for the GitHub GraphQL API v4. — gh_gql","text":"","code":"if (FALSE) { gh_gql(\"query { viewer { login }}\")  # Get rate limit ratelimit_query <- \"query {   viewer {     login   }   rateLimit {     limit     cost     remaining     resetAt   } }\"  gh_gql(ratelimit_query) }"},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":null,"dir":"Reference","previous_headings":"","what":"Get the next, previous, first or last page of results — gh_next","title":"Get the next, previous, first or last page of results — gh_next","text":"Get next, previous, first last page results","code":""},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get the next, previous, first or last page of results — gh_next","text":"","code":"gh_next(gh_response)  gh_prev(gh_response)  gh_first(gh_response)  gh_last(gh_response)"},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get the next, previous, first or last page of results — gh_next","text":"gh_response object returned gh() call.","code":""},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get the next, previous, first or last page of results — gh_next","text":"Answer API.","code":""},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get the next, previous, first or last page of results — gh_next","text":"Note always defined. E.g. first page queried (default), first previous pages defined. next page, next page defined, etc. requested page exist, error thrown.","code":""},{"path":[]},{"path":"https://gh.r-lib.org/reference/gh_next.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get the next, previous, first or last page of results — gh_next","text":"","code":"x <- gh(\"/users\") vapply(x, \"[[\", character(1), \"login\") #>  [1] \"mojombo\"      \"defunkt\"      \"pjhyett\"      \"wycats\"       #>  [5] \"ezmobius\"     \"ivey\"         \"evanphx\"      \"vanpelt\"      #>  [9] \"wayneeseguin\" \"brynary\"      \"kevinclark\"   \"technoweenie\" #> [13] \"macournoyer\"  \"takeo\"        \"caged\"        \"topfunky\"     #> [17] \"anotherjesse\" \"roland\"       \"lukas\"        \"fanvsfan\"     #> [21] \"tomtt\"        \"railsjitsu\"   \"nitay\"        \"kevwil\"       #> [25] \"KirinDave\"    \"jamesgolick\"  \"atmos\"        \"errfree\"      #> [29] \"mojodna\"      \"bmizerany\"    x2 <- gh_next(x) vapply(x2, \"[[\", character(1), \"login\") #>  [1] \"jnewland\"    \"joshknowles\" \"hornbeck\"    \"jwhitmire\"   \"elbowdonkey\" #>  [6] \"reinh\"       \"knzconnor\"   \"bs\"          \"rsanheim\"    \"schacon\"     #> [11] \"uggedal\"     \"bruce\"       \"sam\"         \"mmower\"      \"abhay\"       #> [16] \"rabble\"      \"benburkert\"  \"indirect\"    \"fearoffish\"  \"ry\"          #> [21] \"engineyard\"  \"jsierles\"    \"tweibley\"    \"peimei\"      \"brixen\"      #> [26] \"tmornini\"    \"outerim\"     \"daksis\"      \"sr\"          \"lifo\""},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":null,"dir":"Reference","previous_headings":"","what":"Return GitHub user's current rate limits — gh_rate_limit","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"gh_rate_limits() reports rate limits authenticated user. gh_rate_limit() reports rate limits previous successful request. details GitHub's API rate limit policies available https://docs.github.com/v3/#rate-limiting.","code":""},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"","code":"gh_rate_limit(   response = NULL,   .token = NULL,   .api_url = NULL,   .send_headers = NULL )  gh_rate_limits(.token = NULL, .api_url = NULL, .send_headers = NULL)"},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"response gh_response object previous gh call, rate limit values determined values response header. Optional argument, missing call \"GET /rate_limit\" made. .token Authentication token. Defaults GITHUB_PAT GITHUB_TOKEN environment variables, order set. See gh_token() need flexibility, e.g. different tokens different GitHub Enterprise deployments. .api_url Github API url (default: https://api.github.com). Used endpoint just contains path. Defaults GITHUB_API_URL environment variable set. .send_headers Named character vector header field values (except Authorization, handled via .token). can used override augment default User-Agent header: \"https://github.com/r-lib/gh\".","code":""},{"path":"https://gh.r-lib.org/reference/gh_rate_limit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return GitHub user's current rate limits — gh_rate_limit","text":"list object containing overall limit, remaining limit, limit reset time.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":null,"dir":"Reference","previous_headings":"","what":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"gh can find personal access token (PAT) via gh_token(), includes PAT requests. requests succeed without PAT, many require PAT prove request authorized specific GitHub user. PAT also helps rate limiting. gh use casual, want PAT. gh calls gitcreds::gitcreds_get() api_url, checks session environment variables local Git credential store PAT appropriate api_url. Therefore, previously used PAT , e.g., command line Git, gh may retrieve re-use . can call gitcreds::gitcreds_get() directly, , want see found specific URL. matching PAT found, gitcreds::gitcreds_get() errors, whereas gh_token() , instead, returns \"\". See GitHub's documentation Creating personal access token, use usethis::create_github_token() guided experience, including pre-selection recommended scopes. PAT, can use gitcreds::gitcreds_set() add Git credential store. point , gh (via gitcreds::gitcreds_get()) able find without effort part.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"","code":"gh_token(api_url = NULL)"},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"api_url GitHub API URL. Defaults GITHUB_API_URL environment variable, set, otherwise https://api.github.com.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"string characters, PAT found, empty string, otherwise. convenience, return value S3 class order ensure simple printing strategies reveal entire PAT.","code":""},{"path":"https://gh.r-lib.org/reference/gh_token.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Return the local user's GitHub Personal Access Token (PAT) — gh_token","text":"","code":"if (FALSE) { gh_token()  format(gh_token())  str(gh_token()) }"},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":null,"dir":"Reference","previous_headings":"","what":"Find the GitHub remote associated with a path — gh_tree_remote","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"handy helper want make gh requests related current project.","code":""},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"","code":"gh_tree_remote(path = \".\")"},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"path Path contained within git repo.","code":""},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"repo github remote, list containing username repo. Otherwise, error.","code":""},{"path":"https://gh.r-lib.org/reference/gh_tree_remote.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find the GitHub remote associated with a path — gh_tree_remote","text":"","code":"if (FALSE) { # interactive() gh_tree_remote() }"},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":null,"dir":"Reference","previous_headings":"","what":"Info on current GitHub user and token — gh_whoami","title":"Info on current GitHub user and token — gh_whoami","text":"Reports wallet name, GitHub login, GitHub URL current authenticated user, first bit token, associated scopes.","code":""},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Info on current GitHub user and token — gh_whoami","text":"","code":"gh_whoami(.token = NULL, .api_url = NULL, .send_headers = NULL)"},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Info on current GitHub user and token — gh_whoami","text":".token Authentication token. Defaults GITHUB_PAT GITHUB_TOKEN environment variables, order set. See gh_token() need flexibility, e.g. different tokens different GitHub Enterprise deployments. .api_url Github API url (default: https://api.github.com). Used endpoint just contains path. Defaults GITHUB_API_URL environment variable set. .send_headers Named character vector header field values (except Authorization, handled via .token). can used override augment default User-Agent header: \"https://github.com/r-lib/gh\".","code":""},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Info on current GitHub user and token — gh_whoami","text":"gh_response object, also list.","code":""},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Info on current GitHub user and token — gh_whoami","text":"Get personal access token GitHub API https://github.com/settings/tokens select scopes necessary planned tasks. repo scope, example, one many likely need. macOS Windows best store token git credential store, GitHub clients, including gh, can access . can use gitcreds package add token credential store:   See https://gh.r-lib.org/articles/managing-personal-access-tokens.html https://usethis.r-lib.org/articles/articles/git-credentials.html managing GitHub (generic git) credentials. systems, including Linux, git credential store typically convenient, might want store token GITHUB_PAT environment variable, can set .Renviron file.","code":"gitcreds::gitcreds_set()"},{"path":"https://gh.r-lib.org/reference/gh_whoami.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Info on current GitHub user and token — gh_whoami","text":"","code":"gh_whoami() #> Error in gh(endpoint = \"/user\", .token = .token, .api_url = .api_url,     .send_headers = .send_headers): GitHub API error (403): Resource not accessible by integration #> ℹ Read more at #>   <https://docs.github.com/rest/users/users#get-the-authenticated-user> if (FALSE) { ## explicit token + use with GitHub Enterprise gh_whoami(   .token = \"8c70fd8419398999c9ac5bacf3192882193cadf2\",   .api_url = \"https://github.foobar.edu/api/v3\" ) }"},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":null,"dir":"Reference","previous_headings":"","what":"Print the result of a GitHub API call — print.gh_response","title":"Print the result of a GitHub API call — print.gh_response","text":"Print result GitHub API call","code":""},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Print the result of a GitHub API call — print.gh_response","text":"","code":"# S3 method for gh_response print(x, ...)"},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Print the result of a GitHub API call — print.gh_response","text":"x result object. ... Ignored.","code":""},{"path":"https://gh.r-lib.org/reference/print.gh_response.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Print the result of a GitHub API call — print.gh_response","text":"JSON result.","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-140","dir":"Changelog","previous_headings":"","what":"gh 1.4.0","title":"gh 1.4.0","text":"CRAN release: 2023-02-22 gh() gains new .max_rate parameter sets maximum number requests per second. gh now powered httr2. generally little impact normal operation request fails, can use httr2::last_response() httr2::last_request() debug. gh() gains new .max_wait argument gives maximum number minutes wait rate limited (#67). New gh_rate_limits() function reports rate limits active user. gh can now validate GitHub fine-grained personal access tokens (@jvstein, #171).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-131","dir":"Changelog","previous_headings":"","what":"gh 1.3.1","title":"gh 1.3.1","text":"CRAN release: 2022-09-08 gh now accepts lower-case methods .e. gh::gh(\"get /users/hadley/repos\") gh::gh(\"GET /users/hadley/repos\") work (@maelle, #167). Response headers (\"response_headers\") response content (\"response_content\") now returned error conditions error handlers can use information, rate limit reset header, handling github_errors (@gadenbuie, #117).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-130","dir":"Changelog","previous_headings":"","what":"gh 1.3.0","title":"gh 1.3.0","text":"CRAN release: 2021-04-30 gh now shows correct number records progress bar paginating (#147). New .params argument gh() make easier pass parameters programmatically (#140).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-121","dir":"Changelog","previous_headings":"","what":"gh 1.2.1","title":"gh 1.2.1","text":"CRAN release: 2021-04-01 Token validation accounts new format announced 2021-03-04 implemented 2021-04-01 (#148, @fmichonneau).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-120","dir":"Changelog","previous_headings":"","what":"gh 1.2.0","title":"gh 1.2.0","text":"CRAN release: 2020-11-27 gh_gql() now passes arguments gh() (#124). gh now handles responses pagination better, tries properly merge (#136, @rundel). gh can retrieve PAT Git credential store, lookup based targeted API URL. now uses gitcreds package. environment variables consulted URL-specific GitHub PATs changed. “https://api.github.com”: GITHUB_PAT_GITHUB_COM now, instead GITHUB_PAT_API_GITHUB_COM “https://github.acme.com/api/v3”: GITHUB_PAT_GITHUB_ACME_COM now, instead GITHUB_PAT_GITHUB_ACME_COM_API_V3 See documentation gitcreds package details. keyring package longer used, favor Git credential store. documentation GitHub REST API moved https://docs.github.com/rest endpoints now documented using URI template style RFC 6570: Old: GET /repos/:owner/:repo/issues New: GET /repos/{owner}/{repo}/issues gh accepts prioritizes new style. However, still parameter substitution old style. Fixed error occurred calling gh() .progress = FALSE (@gadenbuie, #115). gh() accepts named NA parameters destined request body (#139).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-110","dir":"Changelog","previous_headings":"","what":"gh 1.1.0","title":"gh 1.1.0","text":"CRAN release: 2020-01-24 Raw responses GitHub now returned raw vector. Responses may written disk providing path .destfile argument. gh now sets .Last.error error object uncaught error, .Last.error.trace stack trace error. gh() now silently drops named NULL parameters, throws error named NA parameters (#21, #84). gh() now returns better values empty responses, typically empty lists dictionaries (#66). gh() now .accept argument make easier set Accept HTTP header (#91). New gh_gql() function make easier work GitHub GraphQL API. gh now supports separate personal access tokens GitHub Enterprise sites. See ?gh_token details. gh now supports storing GitHub personal access tokens (PAT) system keyring, via keyring package. See ?gh_token details. gh() can now POST raw data, allows adding assets releases (#56).","code":""},{"path":"https://gh.r-lib.org/news/index.html","id":"gh-101","dir":"Changelog","previous_headings":"","what":"gh 1.0.1","title":"gh 1.0.1","text":"CRAN release: 2017-07-16 First public release.","code":""}]
diff --git a/sitemap.xml b/sitemap.xml
index dd21b45..185b540 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -9,6 +9,9 @@
   <url>
     <loc>https://gh.r-lib.org/LICENSE-text.html</loc>
   </url>
+  <url>
+    <loc>https://gh.r-lib.org/LICENSE.html</loc>
+  </url>
   <url>
     <loc>https://gh.r-lib.org/articles/index.html</loc>
   </url>