<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>R Package | BradCannell.com</title><link>https://www.bradcannell.com/tag/r-package/</link><atom:link href="https://www.bradcannell.com/tag/r-package/index.xml" rel="self" type="application/rss+xml"/><description>R Package</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© 2021-2023</copyright><lastBuildDate>Fri, 04 Mar 2022 00:00:00 +0000</lastBuildDate><image><url>https://www.bradcannell.com/media/icon_hucf95b256eeae9bef093a9453fee5bee4_67970_512x512_fill_lanczos_center_3.png</url><title>R Package</title><link>https://www.bradcannell.com/tag/r-package/</link></image><item><title>R package development projects</title><link>https://www.bradcannell.com/opportunities/r-package-development/</link><pubDate>Fri, 04 Mar 2022 00:00:00 +0000</pubDate><guid>https://www.bradcannell.com/opportunities/r-package-development/</guid><description>&lt;p>These are standalone R package development projects that are available for volunteers who want to gain experience with creating, publishing, and maintaining R packages. For each of these, the best place to start is probably by looking at the &amp;ldquo;issues&amp;rdquo; tab on GitHub.&lt;/p>
&lt;h2 id="current-r-packages-under-development">Current R packages under development&lt;/h2>
&lt;ol>
&lt;li>
&lt;p>&lt;a href="https://github.com/brad-cannell/freqtables" target="_blank" rel="noopener">freqtables&lt;/a>&lt;/p>
&lt;ul>
&lt;li>The goal of freqtables is to quickly make tables of descriptive statistics for categorical variables (i.e., counts, percentages, confidence intervals). This package is designed to work in a tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>
&lt;p>&lt;a href="https://github.com/brad-cannell/meantables" target="_blank" rel="noopener">meantables&lt;/a>&lt;/p>
&lt;ul>
&lt;li>The goal of meantables is to quickly make tables of descriptive statistics (i.e., counts, means, confidence intervals) for continuous variables. This package is designed to work in a Tidyverse pipeline, and consideration has been given to get results from R to ‘Microsoft Word’ ® with minimal pain.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>
&lt;p>&lt;a href="https://github.com/brad-cannell/codebookr" target="_blank" rel="noopener">codebookr&lt;/a>&lt;/p>
&lt;ul>
&lt;li>The goal of codebookr is to make it as easy as possible to create codebooks (data dictionaries) directly from the data frame the codebook is intended to describe.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;/ol></description></item></channel></rss>