<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Shiny on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/tag/shiny/</link><description>Recent content in Shiny on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 18 Nov 2024 23:02:38 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/tag/shiny/index.xml" rel="self" type="application/rss+xml"/><item><title>My Favourite Tool - RStudio</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/11/franklund/</link><pubDate>Tue, 07 Nov 2017 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/11/franklund/</guid><description>&lt;p>&lt;b>This post originally appeared on the &lt;a href="https://software-carpentry.org/">Software Carpentry website.&lt;/a>&lt;/b>&lt;/p>
&lt;p>My favorite tool is &lt;a href="https://www.rstudio.com/">RStudio&lt;/a>. This integrated development environment (IDE) is really a force multiplier for data analysis and reporting.&lt;/p>
&lt;p>RStudio provides an excellent interface to the R programming language (that much should be obvious). However, it is &lt;em>much&lt;/em> more than that. This application affords me easy workflows and shortcuts to interact with most of the other tools that I regularly use. These include:&lt;/p></description></item></channel></rss>