From 63366da9b92c089f50bd740eb0a1f027c71afada Mon Sep 17 00:00:00 2001
From: yjunechoe <jchoe001@gmail.com>
Date: Fri, 18 Oct 2024 13:33:54 -0400
Subject: [PATCH] update readme

---
 README.Rmd |  8 ++++++++
 README.md  | 16 ++++++++++++++++
 2 files changed, 24 insertions(+)

diff --git a/README.Rmd b/README.Rmd
index 26708a5..e38e1df 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -153,6 +153,12 @@ The error tells us that the geom is missing some missing aesthetics, so somethin
 layer_before_geom(last_plot(), i = 2L, error = TRUE, verbose = TRUE)
 ```
 
+Note that you can more conveniently call `last_layer_errorcontext()` to the same effect:
+
+```{r boxplot-last_layer_errorcontext}
+last_layer_errorcontext()
+```
+
 Thus, we need to ensure that `y` exists to satisfy both the stat and the geom, and that `label` exists after the statistical transformation step but before the geom sees the data. Crucially, we use the computed variable `ymax` to (re-)map to the `y` and `label` aesthetics.
 
 ```{r boxplot-anno-success}
@@ -206,6 +212,8 @@ Note that as of [{ggtrace} v0.7.1](https://github.com/yjunechoe/ggtrace/releases
 It's interesting to note that this is also possible in "vanilla" ggplot. Following our earlier discussion of `after_stat()`:
 
 ```{r boxplot-remove-outliers-after-stat}
+# NOTE: outdated solution - superseded by `outliers = FALSE` in ggplot >=v3.5.0
+
 # Suppress warning from mapping to `outliers` aesthetic
 update_geom_defaults("boxplot", list(outliers = NULL))
 
diff --git a/README.md b/README.md
index 5fd4ac9..368813f 100644
--- a/README.md
+++ b/README.md
@@ -207,6 +207,20 @@ inspect this using `layer_before_geom()`, we find that the columns for
     #> # ℹ 4 more variables: relvarwidth <dbl>, flipped_aes <lgl>, PANEL <fct>,
     #> #   group <int>
 
+Note that you can more conveniently call `last_layer_errorcontext()` to
+the same effect:
+
+    last_layer_errorcontext()
+    #> ✔ Executed `inspect_args(p, ggplot2:::Layer$compute_geom_1, layer_is(2L), error = TRUE, x = last_plot())$data`
+    #> # A tibble: 3 × 14
+    #>    ymin lower middle upper  ymax outliers  notchupper notchlower     x width
+    #>   <dbl> <dbl>  <dbl> <dbl> <dbl> <list>         <dbl>      <dbl> <dbl> <dbl>
+    #> 1  21.4  22.8   26    30.4  33.9 <dbl [0]>       29.6       22.4     1  0.75
+    #> 2  17.8  18.6   19.7  21    21.4 <dbl [0]>       21.1       18.3     2  0.75
+    #> 3  13.3  14.4   15.2  16.2  18.7 <dbl [3]>       16.0       14.4     3  0.75
+    #> # ℹ 4 more variables: relvarwidth <dbl>, flipped_aes <lgl>, PANEL <fct>,
+    #> #   group <int>
+
 Thus, we need to ensure that `y` exists to satisfy both the stat and the
 geom, and that `label` exists after the statistical transformation step
 but before the geom sees the data. Crucially, we use the computed
@@ -290,6 +304,8 @@ v0.7.1](https://github.com/yjunechoe/ggtrace/releases/tag/v0.7.1), all
 It’s interesting to note that this is also possible in “vanilla” ggplot.
 Following our earlier discussion of `after_stat()`:
 
+    # NOTE: outdated solution - superseded by `outliers = FALSE` in ggplot >=v3.5.0
+
     # Suppress warning from mapping to `outliers` aesthetic
     update_geom_defaults("boxplot", list(outliers = NULL))