From c69285bbf296dbde83af114fda75f04c384ed4f1 Mon Sep 17 00:00:00 2001 From: John Little Date: Fri, 6 Jan 2023 17:28:19 -0500 Subject: [PATCH] which files when --- README.md | 25 ++++++++++++++++++++----- 1 file changed, 20 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 0bd1435..c57821e 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,11 @@ -# README +--- +author: "John Little" +date: "`r Sys.Date()`" + +editor: source +--- -John Little 2022-01-06 +# README @@ -28,16 +33,26 @@ I recommend installing R and RStudio ([how-to video](https://www.youtube.com/wat ### quickStart with R -The `quickstart.qmd`{=} (or \_output/quickstart.html) represents the general outline of the flipped workshop -- i.e. what we can reasonably cover in [two 2-hour workshops (videos available.)](https://rfun.library.duke.edu/portfolio/r_flipped/) In fact, the `quickstart.qmd`{=} file is the basic guide I follow when people sign-up for my workshops. Meanwhile the `outline.qmd`{=} (or \_output/outline.qmd) file represents the grand overview of how to reach *Tidy data fluency with R* (book forthcoming). You can find an HTML report of the outline in the \_output directory. I serve these files out of github because I want you to immediately start using practical reproducible approaches and I want you to have the code locally. A book is great and I recommend many in the outline, but my goal is to get you working with code, today. +The `quickstart.qmd` (or \_output/quickstart.html) represents the general outline of the flipped workshop -- i.e. what we can reasonably cover in [two 2-hour workshops (videos available.)](https://rfun.library.duke.edu/portfolio/r_flipped/) In fact, the `quickstart.qmd` file is the basic guide I follow when people sign-up for my workshops. Meanwhile the `outline.qmd` (or \_output/outline.qmd) file represents the grand overview of how to reach *Tidy data fluency with R* (book forthcoming). You can find an HTML report of the outline in the \_output directory. I serve these files out of github because I want you to immediately start using practical reproducible approaches and I want you to have the code locally. A book is great and I recommend many in the outline, but my goal is to get you working with code, today. #### The workshop This is a two-part workshop. In **Part 1** you'll learn the fundamentals of R, everything you need to know to quickly get started. You'll learn how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA), and how to generate reports. In **Part 2** you'll learn about visualization using ggplot2, how to make interactive charts for use in dashboards, how to reshape and merge data, and be introduced to models. -**Part 1 has no prerequisites** and no prior experience is necessary. By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques. +##### Part 1 +No prerequisites and no prior experience is necessary. By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques. + +- quickstart.qmd + +##### Part 2 + +- ggplot_quick.qmd +- longer_wider.qmd +- regression.qmd + ## videos For access to videos, see the Rfun [*quickStart with R*](https://rfun.library.duke.edu/portfolio/r_flipped/) page. -#### +