<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Stijn Van Hoey on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/stijn-van-hoey/</link><description>Recent content in Stijn Van Hoey 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/author/stijn-van-hoey/index.xml" rel="self" type="application/rss+xml"/><item><title>Incubator Lesson Spotlight: Introduction to Open Data Science with R</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2021/03/incubator-spotlight-open-science-r/</link><pubDate>Wed, 24 Mar 2021 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2021/03/incubator-spotlight-open-science-r/</guid><description>&lt;p>The Incubator Lesson Spotlight highlights a lesson under development by our community in &lt;a href="https://github.com/carpentries-incubator/">The Carpentries Incubator&lt;/a>. In this edition, we look at the progress being made on &lt;a href="https://carpentries-incubator.github.io/open-science-with-r/">the &lt;em>{{page.lesson_title}}&lt;/em> lesson&lt;/a>, and hear from the authors about how The Carpentries community can get involved with the ongoing development of this lesson.&lt;/p>
&lt;h2 id="lesson-profile">Lesson Profile&lt;/h2>
&lt;p>&lt;strong>Title:&lt;/strong> {{page.lesson_title}}
&lt;strong>Lesson Pages:&lt;/strong> &lt;a href="https://carpentries-incubator.github.io/open-science-with-r/">https://carpentries-incubator.github.io/open-science-with-r/&lt;/a>
&lt;strong>Lesson Repository:&lt;/strong> &lt;a href="https://github.com/carpentries-incubator/open-science-with-r">https://github.com/carpentries-incubator/open-science-with-r&lt;/a>&lt;/p>
&lt;h3 id="learning-objectives">Learning Objectives&lt;/h3>
&lt;p>After this lesson, learners should..
Know best practices in data analysis with R: tidy format, transformation, filtering, etc.
Know how to increase scientific reproducibility and openness by coupling R with version control (git).
Be able to create literate programming reports using R Markdown.&lt;/p></description></item></channel></rss>