<rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:media="http://search.yahoo.com/mrss/" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0" > <channel> <title>The R-Podcast</title> <atom:link href="https://www.r-podcast.org/episode/index.xml" rel="self" type="application/rss+xml" /> <link>https://www.r-podcast.org</link> <description>The R-Podcast is a podcast for both new and experienced R users who want to learn more about using R to conduct innovative data analyses.</description> <lastBuildDate>Fri, 18 Feb 2022 00:00:00 &#43;0000</lastBuildDate> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <language>en-us</language> <copyright>Copyright 2022 Eric Nantz</copyright> <itunes:author>Eric Nantz</itunes:author> <itunes:type>episodic</itunes:type> <googleplay:author>Eric Nantz</googleplay:author> <googleplay:email>thercast@gmail.com</googleplay:email> <itunes:summary>The R-Podcast is a podcast for both new and experienced R users who want to learn more about using R to conduct innovative data analyses.</itunes:summary> <googleplay:description>The R-Podcast is a podcast for both new and experienced R users who want to learn more about using R to conduct innovative data analyses.</googleplay:description> <itunes:owner> <itunes:name>Eric Nantz</itunes:name> <itunes:email>thercast@gmail.com</itunes:email> </itunes:owner> <itunes:image href="https://i.imgur.com/Mr70QS9.png" /> <googleplay:image href="https://i.imgur.com/Mr70QS9.png"></googleplay:image> <image> <url>https://i.imgur.com/Mr70QS9.png</url> <title>The R-Podcast</title> <link>https://www.r-podcast.org</link> </image> <itunes:category text="Technology"> </itunes:category><generator>Hugo -- gohugo.io</generator> <item> <title>Episode 34: Enriching the Next Generation of R-Core Development</title> <link>https://www.r-podcast.org/034-collaborative-campfires/</link> <pubDate>Fri, 18 Feb 2022 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;FJ95mIdt</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>34</itunes:episode> <itunes:title>Episode 34: Enriching the Next Generation of R-Core Development</itunes:title> <itunes:subtitle><![CDATA[ The R-Podcast has risen again! After sharing the story of my R adventures since the last episode, we focus on a very important initiative that could pave the way for the next generation of developers contributing to the future of R itself. I... ]]></itunes:subtitle> <itunes:summary>The R-Podcast has risen again! After sharing the story of my R adventures since the last episode, we focus on a very important initiative that could pave the way for the next generation of developers contributing to the future of R itself. I am joined by research software engineer Heather Turner and statistician Saranjeet Kaur Bhogal to share the story of how the new R Development Guide brings a new and accessible approach for learning how to contribute to the R project itself, along with their vision of the upcoming Collaborative Campfires to inspire and grow the community around this imporant effort.</itunes:summary> <description>The R-Podcast has risen again! After sharing the story of my R adventures since the last episode, we focus on a very important initiative that could pave the way for the next generation of developers contributing to the future of R itself. I am joined by research software engineer Heather Turner and statistician Saranjeet Kaur Bhogal to share the story of how the new R Development Guide brings a new and accessible approach for learning how to contribute to the R project itself, along with their vision of the upcoming Collaborative Campfires to inspire and grow the community around this imporant effort.</description> <googleplay:description>The R-Podcast has risen again! After sharing the story of my R adventures since the last episode, we focus on a very important initiative that could pave the way for the next generation of developers contributing to the future of R itself. I am joined by research software engineer Heather Turner and statistician Saranjeet Kaur Bhogal to share the story of how the new R Development Guide brings a new and accessible approach for learning how to contribute to the R project itself, along with their vision of the upcoming Collaborative Campfires to inspire and grow the community around this imporant effort.</googleplay:description> <content:encoded><![CDATA[<h3 id="links">Links</h3> <ul> <li>Update on the RWeekly and 2021 Reflections: <a href="https://rweekly.fireside.fm/70">https://rweekly.fireside.fm/70</a></li> <li>Collaboration Campfires: <a href="https://contributor.r-project.org/events/collaboration-campfires">contributor.r-project.org/events/collaboration-campfires</a></li> <li>R Contribution Working Group: <a href="https://contributor.r-project.org/working-group">contributor.r-project.org/working-group</a></li> <li>R Development Guide: <a href="https://contributor.r-project.org/rdevguide">contributor.r-project.org/rdevguide/</a></li> <li>Digital Infrastructure Icubator: <a href="https://incubator.codeforscience.org/cohort">incubator.codeforscience.org/cohort</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> </ul> <h3 id="music-credits">Music Credits</h3> <p>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></p> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/ep34_logo.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/ep34_logo.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;FJ95mIdt" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 33: Shiny and JavaScript Wizardry With Garrick Aiden-Buie</title> <link>https://www.r-podcast.org/033-rsconf2020-part2/</link> <pubDate>Wed, 04 Mar 2020 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;CqfVcDoZ</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>33</itunes:episode> <itunes:title>Episode 33: Shiny and JavaScript Wizardry With Garrick Aiden-Buie</itunes:title> <itunes:subtitle><![CDATA[ Episode 33 of the R-Podcast continues our coverage of rstudio::conf 2020! I share my experiences from my e-poster presentation about the Shiny community, and have a great conversation with the very talented Garrick Aiden-Buie! We discuss his... ]]></itunes:subtitle> <itunes:summary>Episode 33 of the R-Podcast continues our coverage of rstudio::conf 2020! I share my experiences from my e-poster presentation about the Shiny community, and have a great conversation with the very talented Garrick Aiden-Buie! We discuss his spectacular JavaScript for Shiny Users course, the mind-blowing features of the package accompanying the course, and much more. Plus I share my takeaways from Shiny-related presentations at the conference and a fresh batch of listener feedback. I hope you enjoy this episode!</itunes:summary> <description>Episode 33 of the R-Podcast continues our coverage of rstudio::conf 2020! I share my experiences from my e-poster presentation about the Shiny community, and have a great conversation with the very talented Garrick Aiden-Buie! We discuss his spectacular JavaScript for Shiny Users course, the mind-blowing features of the package accompanying the course, and much more. Plus I share my takeaways from Shiny-related presentations at the conference and a fresh batch of listener feedback. I hope you enjoy this episode!</description> <googleplay:description>Episode 33 of the R-Podcast continues our coverage of rstudio::conf 2020! I share my experiences from my e-poster presentation about the Shiny community, and have a great conversation with the very talented Garrick Aiden-Buie! We discuss his spectacular JavaScript for Shiny Users course, the mind-blowing features of the package accompanying the course, and much more. Plus I share my takeaways from Shiny-related presentations at the conference and a fresh batch of listener feedback. I hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="links">Links</h3> <ul> <li><code>rstudio::conf(2020L)</code> recordings: <a href="https://resources.rstudio.com/rstudio-conf-2020">resources.rstudio.com/rstudio-conf-2020</a></li> <li>Reaping the benfits of the Shiny community e-poster: <a href="https://rpodcast.shinyapps.io/highlights-shiny">rpodcast.shinyapps.io/highlights-shiny</a></li> <li>Poster source code: <a href="https://github.com/rpodcast/highlights.shiny">github.com/rpodcast/highlights.shiny</a></li> <li>Javascript for Shiny Users: <a href="https://js4shiny.com/">js4shiny.com/</a></li> <li>Garrick&rsquo;s GitHub: <a href="https://github.com/gadenbuie">github.com/gadenbuie</a></li> <li><code>js4shiny</code> package: <a href="https://pkg.js4shiny.com/">pkg.js4shiny.com/</a></li> <li>Styling Shiny apps with Sass and Bootstrap 4 (Joe Cheng): <a href="https://resources.rstudio.com/rstudio-conf-2020/styling-shiny-apps-with-sass-and-bootstrap-4-joe-cheng">resources.rstudio.com/rstudio-conf-2020/styling-shiny-apps-with-sass-and-bootstrap-4-joe-cheng</a></li> <li>Reproducible Shiny apps with <code>shinymeta</code> (Carson Sievert): <a href="https://resources.rstudio.com/rstudio-conf-2020/reproducible-shiny-apps-with-shinymeta-dr-carson-sievert">resources.rstudio.com/rstudio-conf-2020/reproducible-shiny-apps-with-shinymeta-dr-carson-sievert</a></li> <li>Getting things logged (Gergely Daroczi): <a href="https://resources.rstudio.com/rstudio-conf-2020/getting-things-logged-gergely-daroczi">resources.rstudio.com/rstudio-conf-2020/getting-things-logged-gergely-daroczi</a></li> <li>Listener Ricardo&rsquo;s R &amp; tidyverse tutorial: <a href="https://predictcrypto.org/tutorials">predictcrypto.org/tutorials</a></li> <li><code>xaringan</code> package&rsquo;s infinite moon reader: <a href="bookdown.org/yihui/rmarkdown/xaringan-preview.html">https://bookdown.org/yihui/rmarkdown/xaringan-preview.html</a></li> <li>My appearance on Michael Dominick Show: <a href="https://www.automator.show/8">https://www.automator.show/8</a></li> <li>NSSD 101 interview with JJ Allaire: <a href="http://nssdeviations.com/101-special-guest-jj-allaire">nssdeviations.com/101-special-guest-jj-allaire</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/033-rsconf2020-part2/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> </ul> <h3 id="episode-timestamps">Episode Timestamps</h3> <pre tabindex="0"><code>00:00:00.000 Intro 00:01:48.000 Shiny community e-poster 00:20:12.000 Garrick Aiden-Buie 00:38:10.000 Styling Shiny apps 00:40:56.000 Shinymeta 00:44:20.000 logger 00:49:49.000 listener feedback 00:57:25.000 Wrapup </code></pre><h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/default.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/default.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;CqfVcDoZ" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 32: RStudio&#39;s Big Move and Kevin Ushey</title> <link>https://www.r-podcast.org/032-rsconf2020-part1/</link> <pubDate>Thu, 06 Feb 2020 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;tGBG4n18</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>32</itunes:episode> <itunes:title>Episode 32: RStudio&#39;s Big Move and Kevin Ushey</itunes:title> <itunes:subtitle><![CDATA[ rstudio::conf 2020 has officially come to a close, and the R-Podcast brings you the first of multiple episodes covering this huge event! In this episode, I share my perspective on the big news made by RStudio and my take on where this could... ]]></itunes:subtitle> <itunes:summary>rstudio::conf 2020 has officially come to a close, and the R-Podcast brings you the first of multiple episodes covering this huge event! In this episode, I share my perspective on the big news made by RStudio and my take on where this could lead open-source data science. In addition, I am joined by RStudio software engineer Kevin Ushey to discuss his path to joining RStudio, the feature of the RStudio IDE he is most proud of, and the adventures of developing packrat and renv to manage package dependencies. Lastly, I share a new audio series that led to my first mobile Shiny app. Thank you for listening and I hope you enjoy this episode!</itunes:summary> <description>rstudio::conf 2020 has officially come to a close, and the R-Podcast brings you the first of multiple episodes covering this huge event! In this episode, I share my perspective on the big news made by RStudio and my take on where this could lead open-source data science. In addition, I am joined by RStudio software engineer Kevin Ushey to discuss his path to joining RStudio, the feature of the RStudio IDE he is most proud of, and the adventures of developing packrat and renv to manage package dependencies. Lastly, I share a new audio series that led to my first mobile Shiny app. Thank you for listening and I hope you enjoy this episode!</description> <googleplay:description>rstudio::conf 2020 has officially come to a close, and the R-Podcast brings you the first of multiple episodes covering this huge event! In this episode, I share my perspective on the big news made by RStudio and my take on where this could lead open-source data science. In addition, I am joined by RStudio software engineer Kevin Ushey to discuss his path to joining RStudio, the feature of the RStudio IDE he is most proud of, and the adventures of developing packrat and renv to manage package dependencies. Lastly, I share a new audio series that led to my first mobile Shiny app. Thank you for listening and I hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="links">Links</h3> <ul> <li>RStudio becomes a Public Benefit Corporation: <a href="https://blog.rstudio.com/2020/01/29/rstudio-pbc">blog.rstudio.com/2020/01/29/rstudio-pbc</a></li> <li>RStudio changes structure to focus on public benefit: <a href="https://www.infoworld.com/article/3518390/rstudio-changes-structure-to-focus-on-public-benefit.html">www.infoworld.com/article/3518390/rstudio-changes-structure-to-focus-on-public-benefit.html</a></li> <li>JJ Allaire&rsquo;s keynote slides: <a href="https://rstudio.com/slides/rstudio-pbc/">rstudio.com/slides/rstudio-pbc/</a></li> <li>A corporate paradign shift - Public Benefit Corporations <a href="www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations">https://www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations/</a></li> <li><code>renv</code>: Project Environments for R <a href="https://kevinushey-2020-rstudio-conf.netlify.com/slides.html">kevinushey-2020-rstudio-conf.netlify.com/slides.html</a></li> <li><code>renv</code> GitHub repository: <a href="https://github.com/rstudio/renv">github.com/rstudio/renv</a></li> <li>Emil Hvitfeldt&rsquo;s repository with <code>rstudio::conf</code> links to slides and other materials: <a href="https://github.com/EmilHvitfeldt/RStudioConf2020Slides">github.com/EmilHvitfeldt/RStudioConf2020Slides</a></li> <li>Residual Snippets app: <a href="https://rpodcast.shinyapps.io/rsnippets">rpodcast.shinyapps.io/rsnippets</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/032-rsconf2020-part1/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> </ul> <h3 id="episode-timestamps">Episode Timestamps</h3> <pre tabindex="0"><code>00:00:00.000 Intro 00:01:25.000 RStudio PBC 00:14:50.000 RWeekly Curators Unite! 00:18:45.000 RStudio's Kevin Ushey 00:42:26.000 Residual Snippets 00:47:52.000 Wrapup </code></pre><h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/default.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/default.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;tGBG4n18" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 31: Data Science Education With R</title> <link>https://www.r-podcast.org/031-education/</link> <pubDate>Sat, 03 Aug 2019 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;AZAWB2Xx</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>31</itunes:episode> <itunes:title>Episode 31: Data Science Education With R</itunes:title> <itunes:subtitle><![CDATA[ The R-Podcast returns with a recap of the Joint Statistical Meetings (JSM) 2019 conference! In this episode, I share insights gained from an excellent panel discussion on the use of javascript in statistics, and I am joined by RStudio&#39;s... ]]></itunes:subtitle> <itunes:summary>The R-Podcast returns with a recap of the Joint Statistical Meetings (JSM) 2019 conference! In this episode, I share insights gained from an excellent panel discussion on the use of javascript in statistics, and I am joined by RStudio&#39;s education team members Alison Hill &amp; Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers. I hope you enjoy episode 31 of the R-Podcast!</itunes:summary> <description>The R-Podcast returns with a recap of the Joint Statistical Meetings (JSM) 2019 conference! In this episode, I share insights gained from an excellent panel discussion on the use of javascript in statistics, and I am joined by RStudio&#39;s education team members Alison Hill &amp; Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers. I hope you enjoy episode 31 of the R-Podcast!</description> <googleplay:description>The R-Podcast returns with a recap of the Joint Statistical Meetings (JSM) 2019 conference! In this episode, I share insights gained from an excellent panel discussion on the use of javascript in statistics, and I am joined by RStudio&#39;s education team members Alison Hill &amp; Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers. I hope you enjoy episode 31 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<h3 id="links">Links</h3> <ul> <li><strong>Why Javascript?</strong> JSM panel discussion: <ul> <li>Karl Broman&rsquo;s <a href="https://www.biostat.wisc.edu/~kbroman/presentations/JSM2019">slides</a></li> <li>Carson Sievert&rsquo;s <a href="https://talks.cpsievert.me/20190730/#1">slides</a></li> </ul> </li> <li>Data Science in a Box: <a href="https://datasciencebox.org">datasciencebox.org</a></li> <li>RStudio Learner Personas: <a href="https://rstudio-education.github.io/learner-personas/">rstudio-education.github.io/learner-personas</a></li> <li>Advanced R-Markdown workshop from <code>rstudio::conf</code> 2019: <a href="https://arm.rbind.io/">arm.rbind.io/</a></li> <li><code>learnr</code> - Interactive tutorials in R: <a href="https://rstudio.github.io/learnr/">rstudio.github.io/learnr</a></li> <li>Project Kickstart-R - Create a project/team website and knowledge sharing platform with R-Markdown: <a href="https://github.com/sourcethemes/project-kickstart-r">github.com/sourcethemes/project-kickstart-r</a></li> <li><code>lullabyr</code> - Generate children&rsquo;s songs with random words: <a href="https://github.com/mine-cetinkaya-rundel/lullabyr">github.com/mine-cetinkaya-rundel/lullabyr</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/031-education/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> </ul> <h3 id="episode-timestamps">Episode Timestamps</h3> <pre tabindex="0"><code>00:00:00.000 Intro 00:01:22.000 JSM Memories 00:07:16.000 Why Javascript recap 00:13:04.000 Shinymeta advice 00:19:54.000 Conversation with Alison &amp; Mine 01:01:50.000 Takeaways &amp; Wrapup </code></pre><h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/ep31_logo.png"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/ep31_logo.png"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;AZAWB2Xx" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 30: The Origins and Future of RStudio With Tareef Kawaf</title> <link>https://www.r-podcast.org/030-tareef-kawaf/</link> <pubDate>Wed, 08 May 2019 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;gNWl6FEJ</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>30</itunes:episode> <itunes:title>Episode 30: The Origins and Future of RStudio With Tareef Kawaf</itunes:title> <itunes:subtitle><![CDATA[ It&#39;s common knowledge that R has been at the forefront of leading innovation in statistics and data science. But one area that&#39;s not commonly discussed is how to build a successful business around R and open-source? In episode 30 of the... ]]></itunes:subtitle> <itunes:summary>It&#39;s common knowledge that R has been at the forefront of leading innovation in statistics and data science. But one area that&#39;s not commonly discussed is how to build a successful business around R and open-source? In episode 30 of the R-Podcast, I am very excited to be joined by RStudio president Tareef Kawaf! We cover a wide variety of topics including his journey to RStudio, building a robust organization structure, and how an open-core model drives RStudio&#39;s vision for the present and future. Plus you&#39;ll hear how Tareef became the &#39;T-Test&#39; within RStudio and how he earned the moniker of Mr. Shiny!</itunes:summary> <description>It&#39;s common knowledge that R has been at the forefront of leading innovation in statistics and data science. But one area that&#39;s not commonly discussed is how to build a successful business around R and open-source? In episode 30 of the R-Podcast, I am very excited to be joined by RStudio president Tareef Kawaf! We cover a wide variety of topics including his journey to RStudio, building a robust organization structure, and how an open-core model drives RStudio&#39;s vision for the present and future. Plus you&#39;ll hear how Tareef became the &#39;T-Test&#39; within RStudio and how he earned the moniker of Mr. Shiny!</description> <googleplay:description>It&#39;s common knowledge that R has been at the forefront of leading innovation in statistics and data science. But one area that&#39;s not commonly discussed is how to build a successful business around R and open-source? In episode 30 of the R-Podcast, I am very excited to be joined by RStudio president Tareef Kawaf! We cover a wide variety of topics including his journey to RStudio, building a robust organization structure, and how an open-core model drives RStudio&#39;s vision for the present and future. Plus you&#39;ll hear how Tareef became the &#39;T-Test&#39; within RStudio and how he earned the moniker of Mr. Shiny!</googleplay:description> <content:encoded><![CDATA[<ul> <li>RStudio 1.2 release highlights: <a href="https://blog.rstudio.com/2019/04/30/rstudio-1-2-release/">blog.rstudio.com/2019/04/30/rstudio-1-2-release</a></li> <li>Tareef&rsquo;s opening keynote at <code>rstudio::conf</code> 2019: <a href="https://resources.rstudio.com/rstudio-conf-2019/opening-keynote-tareef-kawaf">Welcome and RStudio Vision</a></li> <li>Reproducible Environments: <a href="https://environments.rstudio.com/">environments.rstudio.com</a></li> <li>RStudio Community: <a href="https://community.rstudio.com/">community.rstudio.com</a></li> <li>RStudio Cloud (currently in alpha): <a href="https://rstudio.cloud/">rstudio.cloud</a></li> <li>Introducing RStudio Team: <a href="https://blog.rstudio.com/2019/05/09/introducing-rstudio-team/">blog.rstudio.com/2019/05/09/introducing-rstudio-team</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/030-tareef-kawaf/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/ep30_logo.png"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/ep30_logo.png"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;gNWl6FEJ" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 29: Chicago R Unconference Recap</title> <link>https://www.r-podcast.org/029-chirunconf/</link> <pubDate>Sat, 23 Mar 2019 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;UNz5u2Mg</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>29</itunes:episode> <itunes:title>Episode 29: Chicago R Unconference Recap</itunes:title> <itunes:subtitle><![CDATA[ I am delighted to bring your coverage of the first-ever Chicago R Unconference in episode 29 of the R-Podcast! I share perspectives on many of the great projects addressed in this unconference, ranging from new metrics on machine text... ]]></itunes:subtitle> <itunes:summary>I am delighted to bring your coverage of the first-ever Chicago R Unconference in episode 29 of the R-Podcast! I share perspectives on many of the great projects addressed in this unconference, ranging from new metrics on machine text translations to an entire unconference toolbox. Be sure to check the extensive show notes for links to these projects. Plus the return of highlights from the R community, including two newly-funded R Consortium projects. Thank you for listening and I hope you enjoy this episode!</itunes:summary> <description>I am delighted to bring your coverage of the first-ever Chicago R Unconference in episode 29 of the R-Podcast! I share perspectives on many of the great projects addressed in this unconference, ranging from new metrics on machine text translations to an entire unconference toolbox. Be sure to check the extensive show notes for links to these projects. Plus the return of highlights from the R community, including two newly-funded R Consortium projects. Thank you for listening and I hope you enjoy this episode!</description> <googleplay:description>I am delighted to bring your coverage of the first-ever Chicago R Unconference in episode 29 of the R-Podcast! I share perspectives on many of the great projects addressed in this unconference, ranging from new metrics on machine text translations to an entire unconference toolbox. Be sure to check the extensive show notes for links to these projects. Plus the return of highlights from the R community, including two newly-funded R Consortium projects. Thank you for listening and I hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="chicago-r-unconference">Chicago R Unconference</h3> <ul> <li>Unconf website: <a href="chirunconf.github.io/">https://chirunconf.github.io/</a></li> <li>Issue board: <a href="https://github.com/chirunconf/chirunconf19/issues">github.com/chirunconf/chirunconf19/issues</a></li> <li><code>#chirunconf</code> (Sharla Gelfand): <a href="https://sharla.party/posts/chirunconf/">sharla.party/posts/chirunconf/</a></li> <li>Discover and share your supeR powers (Mauro Lepore): <a href="https://maurolepore.github.io/confs/articles/2019_chirunconf_experience.html">maurolepore.github.io/confs/articles/2019_chirunconf_experience.html</a></li> <li>Joshua Goldberg&rsquo;s awesome unconf <a href="https://photos.google.com/share/AF1QipPJmgx7AVbz_ELCTEPz583dK1m_nwQNIVnN4yDNVN7LHCQ9olWQBw7TSCeA1QwDxA?key=MmVHT1hLQ1ZoeGJzUHhuc0VMTXo1YzFDNDFNSkd3">photo album</a></li> <li><code>footrulr</code> package repo: <a href="https://github.com/kanishkamisra/footrulr">github.com/kanishkamisra/footrulr</a></li> <li>Fixed-Choice Design Simulation <code>drake</code> workflow (Ben Listyg): <a href="https://github.com/wlandau/drake-examples/tree/master/fcd">github.com/wlandau/drake-examples/tree/master/fcd</a></li> <li><code>drake</code> v7.0.0 package release notes: <a href="https://ropensci.org/technotes/2019/03/18/drake-700/">ropensci.org/technotes/2019/03/18/drake-700/</a></li> <li><code>electricShine</code> package repo: <a href="https://github.com/chasemc/electricShine">github.com/chasemc/electricShine</a></li> <li>25 <code>gt</code> examples: <a href="https://frm1789.github.io/gt_examples/">frm1789.github.io/gt_examples/</a></li> <li>The Unconference Toolbox: <a href="https://github.com/unconf-toolbox/">github.com/unconf-toolbox/</a></li> <li>The Unconf Issue Explorer Shiny app: <a href="https://rpodcast.shinyapps.io/unconfissues/">rpodcast.shinyapps.io/unconfissues/</a></li> <li>Unconf Twitter bot repo: <a href="https://github.com/unconf-toolbox/unconf-bot">github.com/unconf-toolbox/unconf-bot</a></li> <li>How to Organize an R Unconference: <a href="https://unconf-toolbox.github.io/unconf-guide/">unconf-toolbox.github.io/unconf-guide/</a></li> <li>Unconf attendee application repo: <a href="https://github.com/unconf-toolbox/unconf-apps">github.com/unconf-toolbox/unconf-apps</a></li> <li>Unconf review Shiny app repo: <a href="https://github.com/unconf-toolbox/Shiny_review_app">github.com/unconf-toolbox/Shiny_review_app</a></li> <li><code>rlangtip</code> package repo: <a href="https://github.com/revodavid/rlangtip">github.com/revodavid/rlangtip</a></li> <li><code>broom</code> package repo: <a href="https://github.com/tidymodels/broom">github.com/tidymodels/broom</a></li> <li><code>workflowr</code> package repo: <a href="https://github.com/jdblischak/workflowr">github.com/jdblischak/workflowr</a></li> </ul> <h3 id="package-pick">Package Pick</h3> <ul> <li><code>brickr</code> 3D LEGO models and mosaics from images using R and <code>tidyverse</code>: <a href="https://github.com/ryantimpe/brickr">github.com/ryantimpe/brickr</a></li> <li>My ShinyLEGO app: <a href="https://rpodcast.shinyapps.io/shinylego/">rpodcast.shinyapps.io/shinylego/</a></li> </ul> <h3 id="community-news-highlights">Community News Highlights</h3> <ul> <li>Powered by R Weekly issue <a href="https://rweekly.org/#RWeekly2019-11R3.5.3,RConsortium,chirunconf">2019-11</a></li> <li>R 3.5.3 now available: <a href="https://blog.revolutionanalytics.com/2019/03/r-353-now-available.html">blog.revolutionanalytics.com/2019/03/r-353-now-available.html</a></li> <li>R Consortium 2019 Update: <a href="https://www.r-consortium.org/blog/2019/03/12/2019-update-one-r-consortium-and-isc-announce-the-newest-funded-projects-for-the-r-community">www.r-consortium.org/blog/2019/03/12/2019-update-one-r-consortium-and-isc-announce-the-newest-funded-projects-for-the-r-community</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/029-chirunconf/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/ep29_logo.png"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/ep29_logo.png"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;UNz5u2Mg" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 28: Tidymodels With Max Kuhn (Rstudio::conf 2019)</title> <link>https://www.r-podcast.org/028-max-kuhn/</link> <pubDate>Thu, 28 Feb 2019 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;7sfggJYU</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>28</itunes:episode> <itunes:title>Episode 28: Tidymodels With Max Kuhn (Rstudio::conf 2019)</itunes:title> <itunes:subtitle><![CDATA[ The R-Podcast&#39;s coverage of rstudio::conf 2019 wraps up in this episode, featuring a comprehensive conversation with RStudio software engineer Max Kuhn! We discuss his vision for the `tidymodels` ecosystem of modeling packages, lessons... ]]></itunes:subtitle> <itunes:summary>The R-Podcast&#39;s coverage of rstudio::conf 2019 wraps up in this episode, featuring a comprehensive conversation with RStudio software engineer Max Kuhn! We discuss his vision for the `tidymodels` ecosystem of modeling packages, lessons learned from continued development of the `caret` package, and candida advice for how the life sciences industry can utilize R effectively in new workflows. Plus I share some of my favorite gems from the excellent array of conference talks and posters. Thank you so much for listening and hope you enjoy this episode!</itunes:summary> <description>The R-Podcast&#39;s coverage of rstudio::conf 2019 wraps up in this episode, featuring a comprehensive conversation with RStudio software engineer Max Kuhn! We discuss his vision for the `tidymodels` ecosystem of modeling packages, lessons learned from continued development of the `caret` package, and candida advice for how the life sciences industry can utilize R effectively in new workflows. Plus I share some of my favorite gems from the excellent array of conference talks and posters. Thank you so much for listening and hope you enjoy this episode!</description> <googleplay:description>The R-Podcast&#39;s coverage of rstudio::conf 2019 wraps up in this episode, featuring a comprehensive conversation with RStudio software engineer Max Kuhn! We discuss his vision for the `tidymodels` ecosystem of modeling packages, lessons learned from continued development of the `caret` package, and candida advice for how the life sciences industry can utilize R effectively in new workflows. Plus I share some of my favorite gems from the excellent array of conference talks and posters. Thank you so much for listening and hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="conversation-with-max-kuhn">Conversation with Max Kuhn</h3> <ul> <li>Tidy models: <a href="https://github.com/tidymodels">github.com/tidymodels</a></li> <li><code>parsnip</code> - A tidy interface to models: <a href="https://tidymodels.github.io/parsnip/">tidymodels.github.io/parsnip/</a></li> <li><code>caret</code> package: <a href="http://topepo.github.io/caret/index.html">topepo.github.io/caret/index.html</a></li> <li>Conventions for R Modeling Packages: <a href="https://tidymodels.github.io/model-implementation-principles/">tidymodels.github.io/model-implementation-principles/</a></li> </ul> <h3 id="additional-rstudioconf-gems">Additional <code>rstudio::conf</code> gems</h3> <ul> <li>Empowering a data team with RStudio addins (Hao Zhu): <a href="https://resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins">resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins</a></li> <li><code>pak</code>: A fresh approach to package installation: <a href="https://pak.r-lib.org/">pak.r-lib.org/</a></li> <li>Gabor Csardi&rsquo;s <code>rstudio::conf</code> presentation: <a href="https://resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation">resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation</a></li> <li>Democratizing R with Plumber APIs (James Blair): <a href="https://resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis">resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis</a></li> <li>Configuration management tools for the R admin (Kelly O&rsquo;Briant): <a href="https://resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin">resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin</a></li> <li>The lazy and distracted report writer - using rmarkdown and parameterised reports (Mike K Smith): <a href="https://resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports">resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports</a></li> <li>Modernizing the Clinical Trial Analysis Pipeline with R and JavaScript: <a href="https://github.com/RhoInc/RStudioConf2019-ePoster/">github.com/RhoInc/RStudioConf2019-ePoster/</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/028-max-kuhn/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/ep28_logo.png"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/ep28_logo.png"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;7sfggJYU" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 27: Get the {Gt} Tables! (Rstudio::conf 2019)</title> <link>https://www.r-podcast.org/027-rstudioconf-tables/</link> <pubDate>Mon, 11 Feb 2019 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;81hJmYen</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>27</itunes:episode> <itunes:title>Episode 27: Get the {Gt} Tables! (Rstudio::conf 2019)</itunes:title> <itunes:subtitle><![CDATA[ The R-Podcast rolls along with part two of our rstudio::conf 2019 coverage! In this episode I share the advice and tips I used to prepare my talk on Shiny Modules. Plus I sit down with RStudio software engineer Rich Iannone to learn about his... ]]></itunes:subtitle> <itunes:summary>The R-Podcast rolls along with part two of our rstudio::conf 2019 coverage! In this episode I share the advice and tips I used to prepare my talk on Shiny Modules. Plus I sit down with RStudio software engineer Rich Iannone to learn about his journey from atmospheric science to creating a collection of awesome R packages like DiagrammeR and gt for creating tables with a tidy syntax. As always thank you so much for listening and hope you enjoy this episode!</itunes:summary> <description>The R-Podcast rolls along with part two of our rstudio::conf 2019 coverage! In this episode I share the advice and tips I used to prepare my talk on Shiny Modules. Plus I sit down with RStudio software engineer Rich Iannone to learn about his journey from atmospheric science to creating a collection of awesome R packages like DiagrammeR and gt for creating tables with a tidy syntax. As always thank you so much for listening and hope you enjoy this episode!</description> <googleplay:description>The R-Podcast rolls along with part two of our rstudio::conf 2019 coverage! In this episode I share the advice and tips I used to prepare my talk on Shiny Modules. Plus I sit down with RStudio software engineer Rich Iannone to learn about his journey from atmospheric science to creating a collection of awesome R packages like DiagrammeR and gt for creating tables with a tidy syntax. As always thank you so much for listening and hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="conversation-with-rich-iannone">Conversation with Rich Iannone</h3> <ul> <li><code>DiagrammeR</code> package: <a href="http://visualizers.co/diagrammer/">visualizers.co/diagrammer/</a></li> <li><code>gt</code> package: <a href="https://gt.rstudio.com/">gt.rstudio.com/</a></li> <li><code>blastula</code> package: <a href="https://github.com/rich-iannone/blastula">github.com/rich-iannone/blastula</a></li> </ul> <h3 id="preparing-for-the-shiny-modules-talk">Preparing for the Shiny Modules talk</h3> <ul> <li>Karl Browman&rsquo;s rstudio::conf 2019 resources repo: <a href="https://github.com/kbroman/RStudioConf2019Slides">github.com/kbroman/RStudioConf2019Slides</a></li> <li>Slides: <a href="https://bit.ly/modules2019">bit.ly/modules2019</a></li> <li>Recording: <a href="https://resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development">resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development</a></li> <li>Communication between modules article: <a href="http://shiny.rstudio.com/articles/communicate-bet-modules.html">shiny.rstudio.com/articles/communicate-bet-modules.html</a></li> <li>Ames Housing Explorer application: <a href="https://gallery.shinyapps.io/ames-explorer">gallery.shinyapps.io/ames-explorer</a></li> <li><code>shinypod</code> package by Ian Lyttle: <a href="https://github.com/ijlyttle/shinypod">github.com/ijlyttle/shinypod</a></li> <li><code>shinysense</code> package by Nick Strayer: <a href="https://github.com/nstrayer/shinysense">github.com/nstrayer/shinysense</a></li> <li>Giving your first data science talk by Emily Robinson: <a href="https://hookedondata.org/giving-your-first-data-science-talk/">hookedondata.org/giving-your-first-data-science-talk/</a></li> <li>The Unreasonable Effectiveness of Public Work (David Robinson): <a href="https://www.dropbox.com/s/jk7216yr30ztpdp/DavidRobinson-RStudio-2019-old.pdf?dl=0">slides</a> and <a href="https://resources.rstudio.com/rstudio-conf-2019/the-unreasonable-effectiveness-of-public-work">recording</a></li> </ul> <h3 id="additional-resources">Additional resources</h3> <ul> <li>Tips on designing hex stickers for R packages (Hao Zhu): <a href="https://zhuhao.org/post/tips-on-designing-a-hex-sticker-for-rstats-packages/">zhuhao.org/post/tips-on-designing-a-hex-sticker-for-rstats-packages/</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/027-rstudioconf-tables/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/ep27_logo.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/ep27_logo.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;81hJmYen" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 26: The Podcast Trifecta (Rstudio::conf 2019)</title> <link>https://www.r-podcast.org/026-rstudioconf-trifecta/</link> <pubDate>Wed, 23 Jan 2019 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;tGduAF14</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>26</itunes:episode> <itunes:title>Episode 26: The Podcast Trifecta (Rstudio::conf 2019)</itunes:title> <itunes:subtitle><![CDATA[ Another spectacular rstudio::conf is in the books and the R-Podcast has tons of insights to share! We kick off our coverage with a three-podcast crossover as I am joined by Credibly Curious co-host Nick Tierny and Not So Standard Deviations... ]]></itunes:subtitle> <itunes:summary>Another spectacular rstudio::conf is in the books and the R-Podcast has tons of insights to share! We kick off our coverage with a three-podcast crossover as I am joined by Credibly Curious co-host Nick Tierny and Not So Standard Deviations co-host Hilary Parker! We discuss our impressions of the conference and where we&#39;d like to see R go in 2019. Plus I share how my journey to the Advanced R-Markdown workshop is a testament to the welcoming and openness that the R community offers. This is just the beginning of our coverage and I hope you enjoy this episode!</itunes:summary> <description>Another spectacular rstudio::conf is in the books and the R-Podcast has tons of insights to share! We kick off our coverage with a three-podcast crossover as I am joined by Credibly Curious co-host Nick Tierny and Not So Standard Deviations co-host Hilary Parker! We discuss our impressions of the conference and where we&#39;d like to see R go in 2019. Plus I share how my journey to the Advanced R-Markdown workshop is a testament to the welcoming and openness that the R community offers. This is just the beginning of our coverage and I hope you enjoy this episode!</description> <googleplay:description>Another spectacular rstudio::conf is in the books and the R-Podcast has tons of insights to share! We kick off our coverage with a three-podcast crossover as I am joined by Credibly Curious co-host Nick Tierny and Not So Standard Deviations co-host Hilary Parker! We discuss our impressions of the conference and where we&#39;d like to see R go in 2019. Plus I share how my journey to the Advanced R-Markdown workshop is a testament to the welcoming and openness that the R community offers. This is just the beginning of our coverage and I hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="conversation-with-hilary-parker-and-nick-tierney">Conversation with Hilary Parker and Nick Tierney</h3> <ul> <li>Credibly Curious podcast: <a href="https://soundcloud.com/crediblycurious">soundcloud.com/crediblycurious</a></li> <li>Not So Standard Deviations podcast: <a href="http://nssdeviations.com/">nssdeviations.com</a></li> <li>Apache Arrow: <a href="https://arrow.apache.org/">arrow.apache.org</a></li> <li>Tidy Evaluation online book: <a href="https://tidyeval.tidyverse.org/">tidyeval.tidyverse.org</a></li> <li>Tidy models family of packages: <a href="https://github.com/tidymodels">github.com/tidymodels</a></li> <li>The <code>magick</code> package by Jeroen Ooms: <a href="https://github.com/ropensci/magick">github.com/ropensci/magick</a></li> <li><code>pagedown</code> package (paginate HTML output of R Markdown) by Yihui Xie: <a href="https://github.com/rstudio/pagedown">github.com/rstudio/pagedown</a></li> </ul> <h3 id="advanced-r-markdown-workshop-highlights">Advanced R Markdown workshop highlights</h3> <ul> <li>Course website: <a href="https://arm.rbind.io/">arm.rbind.io</a> (powered by <a href="https://bookdown.org/yihui/blogdown/"><code>blogdown</code></a>!)</li> <li>Course GitHub repository: <a href="https://github.com/rstudio-education/arm-workshop-rsc2019">github.com/rstudio-education/arm-workshop-rsc2019</a></li> <li>My slides on using the <code>officer</code> package to create PowerPoint slides: <a href="https://rpodcast.github.io/officer-advrmarkdown">rpodcast.github.io/officer-advrmarkdown</a></li> <li>The <code>officer</code> package documenation: <a href="https://davidgohel.github.io/officer/">davidgohel.github.io/officer</a></li> <li>MegaMan slide generator Shiny app: <a href="https://rpodcast.shinyapps.io/megaman/">rpodcast.shinyapps.io/megaman</a></li> <li>GitHub repo for slides and app: <a href="https://github.com/rpodcast/officer-advrmarkdown">github.com/rpodcast/officer-advrmarkdown</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/026-rstudioconf-trifecta/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/ep26_logo.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/ep26_logo.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;tGduAF14" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 25: Interview With Ian Lyttle (Rstudio::conf 2018)</title> <link>https://www.r-podcast.org/025-rstudioconf-ian-lyttle/</link> <pubDate>Thu, 22 Mar 2018 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;cUmybjSy</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>25</itunes:episode> <itunes:title>Episode 25: Interview With Ian Lyttle (Rstudio::conf 2018)</itunes:title> <itunes:subtitle><![CDATA[ Our coverage of rstudio::conf 2018 concludes with another great interview! I talk with Ian Lyttle about his personal journey to using R, the value that shiny brings in communicating with customers, and his new package to ease the pain of... ]]></itunes:subtitle> <itunes:summary>Our coverage of rstudio::conf 2018 concludes with another great interview! I talk with Ian Lyttle about his personal journey to using R, the value that shiny brings in communicating with customers, and his new package to ease the pain of working with enterprise GitHub installations. I also discuss my key insights and takeaways from the extending tidyverse training and talks I attended. I hope you enjoy this jam-packed episode of the R-Podcast!</itunes:summary> <description>Our coverage of rstudio::conf 2018 concludes with another great interview! I talk with Ian Lyttle about his personal journey to using R, the value that shiny brings in communicating with customers, and his new package to ease the pain of working with enterprise GitHub installations. I also discuss my key insights and takeaways from the extending tidyverse training and talks I attended. I hope you enjoy this jam-packed episode of the R-Podcast!</description> <googleplay:description>Our coverage of rstudio::conf 2018 concludes with another great interview! I talk with Ian Lyttle about his personal journey to using R, the value that shiny brings in communicating with customers, and his new package to ease the pain of working with enterprise GitHub installations. I also discuss my key insights and takeaways from the extending tidyverse training and talks I attended. I hope you enjoy this jam-packed episode of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<h3 id="conversation-with-ian-lyttle">Conversation with Ian Lyttle</h3> <ul> <li>Twitter: <a href="https://twitter.com/ijlyttle">@ijlyttle</a> | Github: <a href="https://github.com/ijlyttle/">github.com/ijlyttle</a></li> <li>Ian&rsquo;s presentation at <code>rstudio::conf</code> 2018 recording: <a href="https://www.rstudio.com/resources/videos/how-i-learned-to-stop-worrying-and-love-the-firewall/">www.rstudio.com/resources/videos/how-i-learned-to-stop-worrying-and-love-the-firewall/</a></li> <li><code>bsplus</code> package: <a href="https://ijlyttle.github.io/bsplus">ijlyttle.github.io/bsplus/</a></li> <li><code>shinychord</code> package: <a href="https://github.com/ijlyttle/shinychord">github.com/ijlyttle/shinychord</a></li> <li><code>ghentr</code> package: <a href="https://github.com/ijlyttle/ghentr">github.com/ijlyttle/ghentr</a></li> <li>Effective reactive programming from Shiny Developer Conference: <a href="https://www.rstudio.com/resources/videos/effective-reactive-programming/">www.rstudio.com/resources/videos/effective-reactive-programming/</a></li> </ul> <h3 id="rstudioconf-2018-takeaways-and-insights">Rstudio::conf 2018 takeaways and insights</h3> <ul> <li>Advanced R 2nd Edition new chapters: <ul> <li>Expressions: <a href="https://adv-r.hadley.nz/expressions.html">adv-r.hadley.nz/expressions.html</a></li> <li>Quasiquotation: <a href="https://adv-r.hadley.nz/expressions.html">adv-r.hadley.nz/expressions.html</a></li> <li>Evaluation: <a href="https://adv-r.hadley.nz/evaluation.html">adv-r.hadley.nz/evaluation.html</a></li> <li>Translating R Code: <a href="https://adv-r.hadley.nz/translation.html">adv-r.hadley.nz/translation.html</a></li> </ul> </li> <li><code>lobstr</code> package: <a href="https://github.com/r-lib/lobstr">github.com/r-lib/lobstr</a></li> <li>Recordings from all sessions on RStudio site: <a href="https://www.rstudio.com/resources/webinars/#rstudioconf2018">rstudio.com/resources/webinars/#rstudioconf2018</a></li> <li>Collection of presentation links: <a href="https://github.com/simecek/RStudioConf2018Slides/">github.com/simecek/RStudioConf2018Slides/</a></li> <li>Presentations by RStudio staff: <a href="https://github.com/rstudio/rstudio-conf/tree/master/2018/">github.com/rstudio/rstudio-conf/tree/master/2018/</a></li> <li><code>rstudio::conf</code> 2018 summary (Paul van der Laken): <a href="https://paulvanderlaken.com/2018/02/08/rstudioconf-2018-summary/">paulvanderlaken.com/2018/02/08/rstudioconf-2018-summary</a></li> <li>Rewriting the R organism at <code>rstudio::conf</code> 2018 (John David Smith): <a href="https://goo.gl/rGfqip">goo.gl/rGfqip</a></li> <li>David Miller&rsquo;s slides on <code>rstudio::conf</code> 2018: <a href="https://github.com/dill/rstudioconf2018-summary/blob/master/talk.Rmd">github.com/dill/rstudioconf2018-summary/blob/master/talk.Rmd</a></li> <li>Recap of <code>rstudio::conf</code> 2018 (Colby Ford): <a href="https://www.blue-granite.com/blog/rstudio-conference-2018-recap">www.blue-granite.com/blog/rstudio-conference-2018-recap</a></li> <li>Highlights from <code>rstudio::conf</code> 2018 (Methods Consultants blog): <a href="https://blog.methodsconsultants.com/posts/highlights-from-rstudio-conf-2018/">blog.methodsconsultants.com/posts/highlights-from-rstudio-conf-2018/</a></li> </ul> <h3 id="listener-feedback">Listener feedback</h3> <ul> <li>A completely subjective ranking of data science podcasts: <a href="https://tonyelhabr.rbind.io/posts/data-science-podcasts/">tonyelhabr.rbind.io/posts/data-science-podcasts</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/025-rstudioconf-ian-lyttle/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/default.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/default.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;cUmybjSy" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 24: Yihui Xie Returns (Rstudio::conf 2018)</title> <link>https://www.r-podcast.org/024-rstudioconf-yihui-xie/</link> <pubDate>Fri, 16 Feb 2018 12:58:06 -0400 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;mlJ9-i1y</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>24</itunes:episode> <itunes:title>Episode 24: Yihui Xie Returns (Rstudio::conf 2018)</itunes:title> <itunes:subtitle><![CDATA[ Our coverage of `rstudio::conf` 2018 continues! In this episode I reconnect with the first-ever guest of the R-Podcast, RStudio software engineer Yihui Xie. In our conversation you&#39;ll hear about Yihui&#39;s journey since joining RStudio, his... ]]></itunes:subtitle> <itunes:summary>Our coverage of `rstudio::conf` 2018 continues! In this episode I reconnect with the first-ever guest of the R-Podcast, RStudio software engineer Yihui Xie. In our conversation you&#39;ll hear about Yihui&#39;s journey since joining RStudio, his vision of how `blogdown` and `bookdown` could lead to a streamlined publishing worflow, and much more. I hope you enjoy this episode!</itunes:summary> <description>Our coverage of `rstudio::conf` 2018 continues! In this episode I reconnect with the first-ever guest of the R-Podcast, RStudio software engineer Yihui Xie. In our conversation you&#39;ll hear about Yihui&#39;s journey since joining RStudio, his vision of how `blogdown` and `bookdown` could lead to a streamlined publishing worflow, and much more. I hope you enjoy this episode!</description> <googleplay:description>Our coverage of `rstudio::conf` 2018 continues! In this episode I reconnect with the first-ever guest of the R-Podcast, RStudio software engineer Yihui Xie. In our conversation you&#39;ll hear about Yihui&#39;s journey since joining RStudio, his vision of how `blogdown` and `bookdown` could lead to a streamlined publishing worflow, and much more. I hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="conversation-with-yihui-xie">Conversation with Yihui Xie</h3> <ul> <li>Yihui&rsquo;s supplemental post: <a href="https://yihui.name/en/2018/02/r-podcast/">yihui.name/en/2018/02/r-podcast/</a></li> <li>Additional post (Yihui&rsquo;s early career crisis): <a href="https://yihui.name/en/2018/02/career-crisis/">yihui.name/en/2018/02/career-crisis/</a></li> <li>Rbind project: <a href="https://support.rbind.io/about/">support.rbind.io/about/</a></li> <li>The New and Improved R-Podcast Site: <a href="https://support.rbind.io/2017/04/27/r-podcast-website/">support.rbind.io/2017/04/27/r-podcast-website/</a></li> <li>REWORK: <a href="https://basecamp.com/books/rework">basecamp.com/books/rework</a></li> <li><code>blogdown</code>: Creating websites with R Markdown (available online and print): <a href="https://bookdown.org/yihui/blogdown/">bookdown.org/yihui/blogdown/</a></li> <li>Keeping up with blogdown (Mara Averick): <a href="https://maraaverick.rbind.io/2017/10/keeping-up-with-blogdown/">maraaverick.rbind.io/2017/10/keeping-up-with-blogdown/</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/024-rstudioconf-yihui-xie/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/default.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/default.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;mlJ9-i1y" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 23: Interviews With Romain Francois and Thomas Lin Pedersen at Rstudio::conf</title> <link>https://www.r-podcast.org/023-interviews-francois-pedersen/</link> <pubDate>Fri, 02 Feb 2018 12:58:06 -0400 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;lwRwwNe9</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>23</itunes:episode> <itunes:title>Episode 23: Interviews With Romain Francois and Thomas Lin Pedersen at Rstudio::conf</itunes:title> <itunes:subtitle><![CDATA[ The R-Podcast&#39;s coverage of rstudio::conf 2018 begins! I have the pleasure of speaking with Romain Francois and Thomas Lin Pedersen. You&#39;ll hear Romain&#39;s thoughts on the growth of Rcpp and the project that helped him become closer to the R... ]]></itunes:subtitle> <itunes:summary>The R-Podcast&#39;s coverage of rstudio::conf 2018 begins! I have the pleasure of speaking with Romain Francois and Thomas Lin Pedersen. You&#39;ll hear Romain&#39;s thoughts on the growth of Rcpp and the project that helped him become closer to the R community. We also learn about Thomas&#39; journey to enhancing ggplot2 and the new packages he&#39;s developed covering network analyses and dynamic APIs from R. I hope you enjoy episode 23 of the R-Podcast!</itunes:summary> <description>The R-Podcast&#39;s coverage of rstudio::conf 2018 begins! I have the pleasure of speaking with Romain Francois and Thomas Lin Pedersen. You&#39;ll hear Romain&#39;s thoughts on the growth of Rcpp and the project that helped him become closer to the R community. We also learn about Thomas&#39; journey to enhancing ggplot2 and the new packages he&#39;s developed covering network analyses and dynamic APIs from R. I hope you enjoy episode 23 of the R-Podcast!</description> <googleplay:description>The R-Podcast&#39;s coverage of rstudio::conf 2018 begins! I have the pleasure of speaking with Romain Francois and Thomas Lin Pedersen. You&#39;ll hear Romain&#39;s thoughts on the growth of Rcpp and the project that helped him become closer to the R community. We also learn about Thomas&#39; journey to enhancing ggplot2 and the new packages he&#39;s developed covering network analyses and dynamic APIs from R. I hope you enjoy episode 23 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<h3 id="getting-involved-with-the-r-community">Getting involved with the R Community</h3> <ul> <li>Emily Robinson&rsquo;s posts: Building Your Data Science Network: <a href="https://robinsones.github.io/Building-Your-Data-Science-Network-Finding-Community/">Finding Community</a> and <a href="https://robinsones.github.io/Building-Your-Data-Science-Network-Reaching-Out/">Reaching Out</a></li> <li><a href="https://www.johnmackintosh.com/2017-12-30-time-to-shine/">Time to shine: Blogging and social media for introverts</a> (John Mackintosh)</li> <li><a href="http://www.fast.ai/2017/12/18/personal-brand/">Making Peace with Personal Branding</a> (Rachel Thomas)</li> <li><a href="http://varianceexplained.org/r/start-blog/">Advice to aspiring data scientists: Start a blog</a> (David Robinson)</li> </ul> <h3 id="conversations-with-romain-francois-and-thomas-lin-pedersen">Conversations with Romain Francois and Thomas Lin Pedersen</h3> <ul> <li>Romain&rsquo;s site: <a href="https://romain.rbind.io/">romain.rbind.io/</a></li> <li><code>Rcpp</code>: <a href="http://www.rcpp.org/">www.rcpp.org/</a></li> <li>R Graph Gallery: <a href="https://www.r-graph-gallery.com/">www.r-graph-gallery.com/</a></li> <li>Calling Go from R: <a href="https://romain.rbind.io/blog/2017/05/14/calling-go-from-r/">romain.rbind.io/blog/2017/05/14/calling-go-from-r/</a></li> <li>Thomas&rsquo;s blog: <a href="https://www.data-imaginist.com/2016/becoming-the-intern/">www.data-imaginist.com</a></li> <li>Becoming The Intern: <a href="https://www.data-imaginist.com/2016/becoming-the-intern/">www.data-imaginist.com/2016/becoming-the-intern/</a></li> <li><code>ggraph</code> - Grammar of Graph Graphics <a href="https://github.com/thomasp85/ggraph">github.com/thomasp85/ggraph</a></li> <li><code>tidygraph</code> - A tidy API for graph manipulation <a href="https://github.com/thomasp85/tidygraph">github.com/thomasp85/tidygraph</a></li> <li>Thomas' Patreon page: <a href="https://www.patreon.com/thomasp85">www.patreon.com/thomasp85</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/023-interviews-francois-pedersen/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><itunes:image href="https://www.r-podcast.org/img/episode/default.jpg"></itunes:image> <googleplay:image href="https://www.r-podcast.org/img/episode/default.jpg"></googleplay:image><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;lwRwwNe9" type="audio/mpeg" /><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 22: Diving in to Drake With Will Landau</title> <link>https://www.r-podcast.org/022-diving-in-to-drake-with-will-landau/</link> <pubDate>Sun, 26 Mar 2017 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;Sdwuq6Fz</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>22</itunes:episode> <itunes:title>Episode 22: Diving in to Drake With Will Landau</itunes:title> <itunes:subtitle>< about his new R package [drake](https://cran.rstudio.com/web/packages/drake/) that provides a powerful build system for analysis... ]]></itunes:subtitle> <itunes:summary>In this episode of the R-Podcast I have a conversation with my colleague [Will Landau](http://will-landau.com/) about his new R package [drake](https://cran.rstudio.com/web/packages/drake/) that provides a powerful build system for analysis pipelines. In addition we have a fun R community roundup, listener feedback, and a couple of package picks to give you a [gentle nod](https://cran.r-project.org/web/packages/remindR/vignettes/remindR_vignette.html) and a fun way to [explore interpolation](https://github.com/metrumresearchgroup/fluidSpline). If you have ideas for topics, questions, or other types of feedback, get in touch with me by heading over to the R-Podcast site at [r-podcast.org](https://www.r-podcast.org), sending a note to `thercast[at]gmail.com`, or contacting me at [@thercast](https://twitter.com/thercast) on Twitter. As always thanks for tuning in and I hope you enjoy episode 22 of the R-Podcast!</itunes:summary> <description>In this episode of the R-Podcast I have a conversation with my colleague [Will Landau](http://will-landau.com/) about his new R package [drake](https://cran.rstudio.com/web/packages/drake/) that provides a powerful build system for analysis pipelines. In addition we have a fun R community roundup, listener feedback, and a couple of package picks to give you a [gentle nod](https://cran.r-project.org/web/packages/remindR/vignettes/remindR_vignette.html) and a fun way to [explore interpolation](https://github.com/metrumresearchgroup/fluidSpline). If you have ideas for topics, questions, or other types of feedback, get in touch with me by heading over to the R-Podcast site at [r-podcast.org](https://www.r-podcast.org), sending a note to `thercast[at]gmail.com`, or contacting me at [@thercast](https://twitter.com/thercast) on Twitter. As always thanks for tuning in and I hope you enjoy episode 22 of the R-Podcast!</description> <googleplay:description>In this episode of the R-Podcast I have a conversation with my colleague [Will Landau](http://will-landau.com/) about his new R package [drake](https://cran.rstudio.com/web/packages/drake/) that provides a powerful build system for analysis pipelines. In addition we have a fun R community roundup, listener feedback, and a couple of package picks to give you a [gentle nod](https://cran.r-project.org/web/packages/remindR/vignettes/remindR_vignette.html) and a fun way to [explore interpolation](https://github.com/metrumresearchgroup/fluidSpline). If you have ideas for topics, questions, or other types of feedback, get in touch with me by heading over to the R-Podcast site at [r-podcast.org](https://www.r-podcast.org), sending a note to `thercast[at]gmail.com`, or contacting me at [@thercast](https://twitter.com/thercast) on Twitter. As always thanks for tuning in and I hope you enjoy episode 22 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<ul> <li><code>drake</code> package on CRAN: <a href="https://cran.rstudio.com/web/packages/drake/">https://cran.rstudio.com/web/packages/drake/</a>. Check out the <a href="https://cran.rstudio.com/web/packages/drake/vignettes/quickstart.html">quickstart</a> and detailed <a href="https://cran.rstudio.com/web/packages/drake/vignettes/drake.html">introduction</a> vignettes.</li> <li>Will&rsquo;s site: <a href="http://will-landau.com/">will-landau.com</a></li> <li>Will&rsquo;s GitHub page: <a href="https://github.com/wlandau">https://github.com/wlandau</a></li> </ul> <h3 id="r-community-roundup">R Community Roundup</h3> <ul> <li>SatRDay from Cape Town videos now available: <a href="http://capetown2017.satrdays.org/#programme">http://capetown2017.satrdays.org/#programme</a> <ul> <li><a href="https://youtu.be/GapSskrtUzU">Data Rectangling</a> by <a href="https://twitter.com/JennyBryan">Jenny Bryan</a></li> <li><a href="https://youtu.be/Xoqs2lNeync">Text Mining, the tidy way</a> by <a href="http://juliasilge.com/">Julia Silge</a></li> <li><a href="https://youtu.be/Li1R4Z3KH5I">Who goes there? Profiling street by street audience with Telco data</a> by Kael Huerta (<a href="http://capetown2017.satrdays.org/talks/satRday-2017-huerta.pdf">slides</a>).</li> </ul> </li> <li>Taskviewr shiny app by by <a href="https://www.mpopov.com/">Mikhail Popov</a> (<a href="https://twitter.com/bearloga">@bearloga</a>): <a href="https://bearloga.shinyapps.io/taskviewr/">https://bearloga.shinyapps.io/taskviewr/</a> <ul> <li>My PR to the app: <a href="https://github.com/bearloga/taskviewr/pull/2">https://github.com/bearloga/taskviewr/pull/2</a></li> </ul> </li> <li>Faces of <code>#rstats</code> by <a href="http://www.masalmon.eu/">Maelle Salmon</a> (<a href="https://twitter.com/ma_salmon">@ma_salmon</a>): <a href="http://www.masalmon.eu/2017/03/19/facesofr/">http://www.masalmon.eu/2017/03/19/facesofr/</a> <ul> <li>Twitter followers collage by <a href="https://www.mytinyshinys.com/">Andrew Clark</a> (<a href="https://twitter.com/pssguy">@pssguy</a>): <a href="https://www.mytinyshinys.com/post/twitterFollowersCollage/">https://www.mytinyshinys.com/post/twitterFollowersCollage/</a></li> </ul> </li> <li>What&rsquo;s the &ldquo;apprentice to guru&rdquo; path for data management? (<a href="https://www.reddit.com/r/rstats/">rstats subreddit</a>): <a href="https://www.reddit.com/r/rstats/comments/60rfqa/whats_the_apprentice_to_guru_path_for_data/">reddit.com/r/rstats/comments/60rfqa/whats_the_apprentice_to_guru_path_for_data/</a></li> </ul> <h3 id="listener-feedback">Listener Feedback</h3> <blockquote class="twitter-tweet" data-cards="hidden" data-lang="en"><p lang="en" dir="ltr">Highlight of the weekend: Discovery of the R podcast by <a href="https://twitter.com/theRcast">@theRcast</a> <a href="https://twitter.com/hashtag/rstats?src=hash">#rstats</a> <a href="https://twitter.com/hashtag/soexcited?src=hash">#soexcited</a> <a href="https://t.co/YhOCkRM5DA">pic.twitter.com/YhOCkRM5DA</a></p>&mdash; Lars Schoebitz (@Larnsce) <a href="https://twitter.com/Larnsce/status/838474523037007880">March 5, 2017</a></blockquote> <script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script> <ul> <li><a href="https://www.jaredknowles.com/">Jared Knowles</a> (<a href="https://twitter.com/jknowles">@jknowles</a>): <a href="http://pastebin.com/4gRw30C0">Thanks!</a></li> <li>Jared&rsquo;s Data Science Livestream: <a href="https://jknowles.github.io/DataScienceLivestream/">jknowles.github.io/DataScienceLivestream/</a></li> </ul> <h3 id="package-picks">Package Picks</h3> <ul> <li><a href="https://cran.r-project.org/web/packages/remindR/vignettes/remindR_vignette.html">remindR</a>: In code text reminders to aid code development by Bert Gunter</li> <li><a href="https://github.com/metrumresearchgroup/fluidSpline">fluidSpine</a>: Htmlwidget that allows users to interact with locations of points on a plot by Jonathan Sidi (<a href="https://twitter.com/yoniceedee">@yoniceedee</a>)</li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/022-diving-in-to-drake-with-will-landau/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;Sdwuq6Fz" type="audio/mpeg" /><itunes:duration>1:17:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 21: Talking Rcpp and More With Dirk Eddelbuettel</title> <link>https://www.r-podcast.org/021-talking-rcpp-and-more-with-dirk-eddelbuettel/</link> <pubDate>Thu, 09 Feb 2017 00:00:00 +0000 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;4VZQ26aX</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>21</itunes:episode> <itunes:title>Episode 21: Talking Rcpp and More With Dirk Eddelbuettel</itunes:title> <itunes:subtitle>< by chatting with [R Foundation](https://www.r-project.org/foundation/board.html) member and [Rcpp](http://rcpp.org/) author [Dirk... ]]></itunes:subtitle> <itunes:summary>The R-Podcast concludes its coverage of [rstudio::conf](https://www.rstudio.com/conference/) by chatting with [R Foundation](https://www.r-project.org/foundation/board.html) member and [Rcpp](http://rcpp.org/) author [Dirk Eddelbuettel](http://dirk.eddelbuettel.com/)! We cover a variety of topics including the state of Rcpp, how the integration of Rcpp in RStudio came about, and his perspective on Linux in the R community. Plus a new batch of listener feedback and a package pick that gives your shiny apps and rmarkdown reports a little more bootstrap polish. Enjoy episode 21 of the R-Podcast!</itunes:summary> <description>The R-Podcast concludes its coverage of [rstudio::conf](https://www.rstudio.com/conference/) by chatting with [R Foundation](https://www.r-project.org/foundation/board.html) member and [Rcpp](http://rcpp.org/) author [Dirk Eddelbuettel](http://dirk.eddelbuettel.com/)! We cover a variety of topics including the state of Rcpp, how the integration of Rcpp in RStudio came about, and his perspective on Linux in the R community. Plus a new batch of listener feedback and a package pick that gives your shiny apps and rmarkdown reports a little more bootstrap polish. Enjoy episode 21 of the R-Podcast!</description> <googleplay:description>The R-Podcast concludes its coverage of [rstudio::conf](https://www.rstudio.com/conference/) by chatting with [R Foundation](https://www.r-project.org/foundation/board.html) member and [Rcpp](http://rcpp.org/) author [Dirk Eddelbuettel](http://dirk.eddelbuettel.com/)! We cover a variety of topics including the state of Rcpp, how the integration of Rcpp in RStudio came about, and his perspective on Linux in the R community. Plus a new batch of listener feedback and a package pick that gives your shiny apps and rmarkdown reports a little more bootstrap polish. Enjoy episode 21 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<ul> <li>Dirk&rsquo;s site: <a href="http://dirk.eddelbuettel.com/">http://dirk.eddelbuettel.com/</a></li> <li>Rcpp documentation portal: <a href="http://rcpp.org/">http://rcpp.org/</a></li> <li>Using Rcpp with RStudio: <a href="https://support.rstudio.com/hc/en-us/articles/200486088-Using-Rcpp-with-RStudio">https://support.rstudio.com/hc/en-us/articles/200486088-Using-Rcpp-with-RStudio</a></li> </ul> <h3 id="r-community-roundup">R Community Roundup</h3> <ul> <li>CRAN hits 10,000 packages with <a href="https://cran.r-project.org/web/packages/hurricaneexposure/">hurricaneexposure</a> by Brooke Anderson</li> <li>CRAN now has 10,000 R packages. Here&rsquo;s how to find the ones you need: <a href="http://blog.revolutionanalytics.com/2017/01/cran-10000.html">http://blog.revolutionanalytics.com/2017/01/cran-10000.html</a></li> <li>Using R to prevent food poisoning in Chicago: <a href="http://blog.revolutionanalytics.com/2016/12/food-inspection-forecasting.html">http://blog.revolutionanalytics.com/2016/12/food-inspection-forecasting.html</a></li> </ul> <h3 id="listener-feedback">Listener Feedback</h3> <ul> <li>Jan: <a href="http://pastebin.com/e0b8Ed8n">rintrojs package issue</a> <ul> <li>Robust solution for multi-page apps (such as navbar layout): <a href="https://github.com/carlganz/rintrojs/issues/17">https://github.com/carlganz/rintrojs/issues/17</a></li> </ul> </li> <li>Erich: <a href="http://pastebin.com/WfCQp37z">SAS and R</a> <ul> <li>SAS/IML compared to R: <a href="http://stats.stackexchange.com/questions/5682/sas-iml-compared-to-r">http://stats.stackexchange.com/questions/5682/sas-iml-compared-to-r</a></li> </ul> </li> </ul> <h3 id="package-pick">Package Pick</h3> <ul> <li><a href="http://ijlyttle.github.io/bsplus/index.html">bsplus</a>: Provide access to some useful Bootstrap components for rmarkdown html-documents and shiny apps by <a href="https://github.com/ijlyttle">Ian Lyttle</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/021-talking-rcpp-and-more-with-dirk-eddelbuettel/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;4VZQ26aX" type="audio/mpeg" /><itunes:duration>0:40:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 20: More Interviews From Rstudio::conf With Javier Luraschi and Garrett Grolemund</title> <link>https://www.r-podcast.org/020-more-interviews-from-rstudioconf-with-javier-luraschi-and-garrett-grolemund/</link> <pubDate>Sat, 28 Jan 2017 20:43:40 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;c2Nuwf2s</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>20</itunes:episode> <itunes:title>Episode 20: More Interviews From Rstudio::conf With Javier Luraschi and Garrett Grolemund</itunes:title> <itunes:subtitle>< from [rstudio::conf](https://www.rstudio.com/conference/)! I had the pleasure of chatting with software engineer [Javier... ]]></itunes:subtitle> <itunes:summary>In episode 20 I&#39;m happy to bring you more great interviews with members of [RStudio](https://www.rstudio.com) from [rstudio::conf](https://www.rstudio.com/conference/)! I had the pleasure of chatting with software engineer [Javier Luraschi](https://github.com/rstudio/) to discuss [Apache Spark](https://spark.apache.org/) and the new [sparklyr](http://spark.rstudio.com/index.html) package that allows R users to connect directly to a Spark cluster for high-performance data analyses. In addition you will hear from RStudio&#39;s master instructor [Garret Grolemund](http://twitter.com/RStudio) to get his recommendations for teaching R and the highly-acclaimed [R for Data Science](http://r4ds.had.co.nz/) book. All of this plus a package pick that could enable me to use R in my podcast workflow in episode 20 of the R-Podcast!</itunes:summary> <description>In episode 20 I&#39;m happy to bring you more great interviews with members of [RStudio](https://www.rstudio.com) from [rstudio::conf](https://www.rstudio.com/conference/)! I had the pleasure of chatting with software engineer [Javier Luraschi](https://github.com/rstudio/) to discuss [Apache Spark](https://spark.apache.org/) and the new [sparklyr](http://spark.rstudio.com/index.html) package that allows R users to connect directly to a Spark cluster for high-performance data analyses. In addition you will hear from RStudio&#39;s master instructor [Garret Grolemund](http://twitter.com/RStudio) to get his recommendations for teaching R and the highly-acclaimed [R for Data Science](http://r4ds.had.co.nz/) book. All of this plus a package pick that could enable me to use R in my podcast workflow in episode 20 of the R-Podcast!</description> <googleplay:description>In episode 20 I&#39;m happy to bring you more great interviews with members of [RStudio](https://www.rstudio.com) from [rstudio::conf](https://www.rstudio.com/conference/)! I had the pleasure of chatting with software engineer [Javier Luraschi](https://github.com/rstudio/) to discuss [Apache Spark](https://spark.apache.org/) and the new [sparklyr](http://spark.rstudio.com/index.html) package that allows R users to connect directly to a Spark cluster for high-performance data analyses. In addition you will hear from RStudio&#39;s master instructor [Garret Grolemund](http://twitter.com/RStudio) to get his recommendations for teaching R and the highly-acclaimed [R for Data Science](http://r4ds.had.co.nz/) book. All of this plus a package pick that could enable me to use R in my podcast workflow in episode 20 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<ul> <li>Apache Spark: <a href="https://spark.apache.org">https://spark.apache.org</a></li> <li>sparklyr documentation: <a href="http://spark.rstudio.com/index.html">http://spark.rstudio.com/index.html</a></li> <li>sparklyr on GitHub: <a href="https://github.com/rstudio/sparklyr">https://github.com/rstudio/sparklyr</a></li> <li>sparklyr version 0.5 release notes: <a href="https://blog.rstudio.org/2017/01/24/sparklyr-0-5/">https://blog.rstudio.org/2017/01/24/sparklyr-0-5/</a></li> </ul> <ul> <li>R For Data Science: <a href="http://r4ds.had.co.nz/">http://r4ds.had.co.nz/</a></li> <li>Garrett&rsquo;s Introduction to Data Science with R video course on O&rsquo;Reilly Media: <a href="http://shop.oreilly.com/product/0636920034834.do">http://shop.oreilly.com/product/0636920034834.do</a></li> </ul> <h3 id="package-pick">Package Pick</h3> <ul> <li><a href="https://github.com/rstudio/blogdown">blogdown</a>: R package to generate static websites based on <a href="http://rmarkdown.rstudio.com/">R Markdown</a> and <a href="https://gohugo.io/">Hugo</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/020-more-interviews-from-rstudioconf-with-javier-luraschi-and-garrett-grolemund/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;c2Nuwf2s" type="audio/mpeg" /><itunes:duration>0:29:59</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 19: Talking Shiny at RStudio Conf With Barbara Borges and Dean Attali</title> <link>https://www.r-podcast.org/019-talking-shiny-at-rstudio-conf-with-barbara-borges-and-dean-attali/</link> <pubDate>Thu, 12 Jan 2017 09:08:57 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;9bkuo5iI</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>19</itunes:episode> <itunes:title>Episode 19: Talking Shiny at RStudio Conf With Barbara Borges and Dean Attali</itunes:title> <itunes:subtitle>< has landed in Orlando for the first ever [rstudio::conf](https://www.rstudio.com/conference/)! Our coverage begins with two excellent interviews: First I talk with [Bárbara Borges... ]]></itunes:subtitle> <itunes:summary>The [R-Podcast](http://www.r-podcast.org/) has landed in Orlando for the first ever [rstudio::conf](https://www.rstudio.com/conference/)! Our coverage begins with two excellent interviews: First I talk with [Bárbara Borges Ribeiro](https://github.com/bborgesr), software engineer at [RStudio](https://www.rstudio.com/) about her journey to using R and her advice for developing [Shiny](http://shiny.rstudio.com/) apps. Then [Dean Attali](http://deanattali.com/) makes his return to the show and we discuss R&#39;s role in his graduate research and his experiences as a Shiny consultant. All of this plus a package pick that can give Shiny app users a helping hand. I hope you enjoy episode 19 of the R-Podcast!</itunes:summary> <description>The [R-Podcast](http://www.r-podcast.org/) has landed in Orlando for the first ever [rstudio::conf](https://www.rstudio.com/conference/)! Our coverage begins with two excellent interviews: First I talk with [Bárbara Borges Ribeiro](https://github.com/bborgesr), software engineer at [RStudio](https://www.rstudio.com/) about her journey to using R and her advice for developing [Shiny](http://shiny.rstudio.com/) apps. Then [Dean Attali](http://deanattali.com/) makes his return to the show and we discuss R&#39;s role in his graduate research and his experiences as a Shiny consultant. All of this plus a package pick that can give Shiny app users a helping hand. I hope you enjoy episode 19 of the R-Podcast!</description> <googleplay:description>The [R-Podcast](http://www.r-podcast.org/) has landed in Orlando for the first ever [rstudio::conf](https://www.rstudio.com/conference/)! Our coverage begins with two excellent interviews: First I talk with [Bárbara Borges Ribeiro](https://github.com/bborgesr), software engineer at [RStudio](https://www.rstudio.com/) about her journey to using R and her advice for developing [Shiny](http://shiny.rstudio.com/) apps. Then [Dean Attali](http://deanattali.com/) makes his return to the show and we discuss R&#39;s role in his graduate research and his experiences as a Shiny consultant. All of this plus a package pick that can give Shiny app users a helping hand. I hope you enjoy episode 19 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<ul> <li>Barbara&rsquo;s <a href="https://github.com/bborgesr">GitHub profile</a></li> <li>Using the <a href="http://shiny.rstudio.com/articles/pool-basics.html">pool</a> package for database connections in Shiny</li> <li>Article on <a href="http://shiny.rstudio.com/articles/dynamic-ui.html">dynamic UI</a> in Shiny apps</li> <li>Dean&rsquo;s <a href="https://github.com/daattali/timevis">timevis</a> HTML widget and <a href="http://deanattali.com/blog/htmlwidgets-tips/">article</a> on writing helpful widgets</li> <li><a href="https://github.com/rstudio/shinytest">shinytest</a> on GitHub</li> </ul> <h3 id="package-pick">Package pick</h3> <ul> <li><a href="https://github.com/carlganz/rintrojs">rintrojs: Wrapper for the intro.js library for shiny</a> by <a href="https://github.com/carlganz">Carl Ganz</a></li> </ul> <h3 id="news">News</h3> <ul> <li><a href="https://rweekly.org/">Rweekly.org</a>: Weekly updates from the entire R Community</li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/019-talking-shiny-at-rstudio-conf-with-barbara-borges-and-dean-attali/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;9bkuo5iI" type="audio/mpeg" /><itunes:duration>1:09:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 18: Interviews With the RStudio Team</title> <link>https://www.r-podcast.org/018-interviews-with-the-rstudio-team/</link> <pubDate>Mon, 22 Feb 2016 05:33:31 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;EmdIrMZa</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>18</itunes:episode> <itunes:title>Episode 18: Interviews With the RStudio Team</itunes:title> <itunes:subtitle><! In part one I have a panel discussion with JJ Allaire,... ]]></itunes:subtitle> <itunes:summary>The R-Podcast concludes its series on the Shiny Developer Conference with a jam-packed episode featuring two interviews with members of the [RStudio team](https://www.rstudio.com/about/)! In part one I have a panel discussion with JJ Allaire, Jeff Allen, and Hadley Wickham to get their impressions of the conference and some exciting new features in the latest version of the RStudio IDE. In part two I have an extended conversation with Joe Cheng to discuss the origins of Shiny, how the conference came together, and ideas for future enhancements of shiny. All of this and more on episode 18 of the R-Podcast!</itunes:summary> <description>The R-Podcast concludes its series on the Shiny Developer Conference with a jam-packed episode featuring two interviews with members of the [RStudio team](https://www.rstudio.com/about/)! In part one I have a panel discussion with JJ Allaire, Jeff Allen, and Hadley Wickham to get their impressions of the conference and some exciting new features in the latest version of the RStudio IDE. In part two I have an extended conversation with Joe Cheng to discuss the origins of Shiny, how the conference came together, and ideas for future enhancements of shiny. All of this and more on episode 18 of the R-Podcast!</description> <googleplay:description>The R-Podcast concludes its series on the Shiny Developer Conference with a jam-packed episode featuring two interviews with members of the [RStudio team](https://www.rstudio.com/about/)! In part one I have a panel discussion with JJ Allaire, Jeff Allen, and Hadley Wickham to get their impressions of the conference and some exciting new features in the latest version of the RStudio IDE. In part two I have an extended conversation with Joe Cheng to discuss the origins of Shiny, how the conference came together, and ideas for future enhancements of shiny. All of this and more on episode 18 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<ul> <li>RStudio 0.98.878 <a href="http://blog.rstudio.org/2016/02/09/new-release-of-rstudio-v0-99-878/">Release Notes</a></li> <li>RStudio Addins <a href="http://rstudio.github.io/rstudioaddins/">documentation portal</a></li> <li><a href="http://shiny.rstudio.com/articles/modules.html">Modularizing Shiny app code article</a></li> <li><a href="http://shiny.rstudio.com/articles/gadgets.html">Shiny gadgets article</a></li> <li><a href="http://www.htmlwidgets.org/">htmlwidgets</a>: <a href="https://github.com/ramnathv/htmlwidgets/issues/86#issuecomment-159863989">Making widgets talk to each other!</a></li> <li>Joe&rsquo;s htmlwidgets <a href="https://github.com/ramnathv/htmlwidgets/pull/172">pull request</a> with <code>onStaticRenderComplete</code></li> <li><a href="https://github.com/rstudio/crosstalk">Crosstalk</a>: Inter-htmlwidget communication (with and without Shiny)</li> </ul> <h2 id="package-pick">Package Pick</h2> <ul> <li><a href="https://github.com/ijlyttle/shinypod">ShinyPod: Implementation of shiny modules</a> by <a href="https://github.com/ijlyttle">Ian Lyttle</a> (great example of creating an R package out of modules)</li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/018-interviews-with-the-rstudio-team/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;EmdIrMZa" type="audio/mpeg" /><itunes:duration>1:19:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 17: A Simply Radiant Chat With Vincent Nijs</title> <link>https://www.r-podcast.org/017-a-simply-radiant-chat-with-vincent-nijs/</link> <pubDate>Thu, 04 Feb 2016 05:57:21 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;Vcb-a_mT</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>17</itunes:episode> <itunes:title>Episode 17: A Simply Radiant Chat With Vincent Nijs</itunes:title> <itunes:subtitle><, associate professor of marketing at UC San Diego and one of the... ]]></itunes:subtitle> <itunes:summary>The R-Podcast continues its series on Shiny and the first-ever Shiny Developer Conference by catching up with [Vincent Nijs](http://rady.ucsd.edu/faculty/directory/nijs/), associate professor of marketing at UC San Diego and one of the earliest adopters of Shiny. Some of the topics we cover include his journey to using R, his motivation and process for developing the [Radiant](http://vnijs.github.io/radiant/) Shiny application used by his students to perform business analytics, and how he would like to involve the community to add new capabilities to Radiant. I hope you enjoy this episode and thanks for listening!</itunes:summary> <description>The R-Podcast continues its series on Shiny and the first-ever Shiny Developer Conference by catching up with [Vincent Nijs](http://rady.ucsd.edu/faculty/directory/nijs/), associate professor of marketing at UC San Diego and one of the earliest adopters of Shiny. Some of the topics we cover include his journey to using R, his motivation and process for developing the [Radiant](http://vnijs.github.io/radiant/) Shiny application used by his students to perform business analytics, and how he would like to involve the community to add new capabilities to Radiant. I hope you enjoy this episode and thanks for listening!</description> <googleplay:description>The R-Podcast continues its series on Shiny and the first-ever Shiny Developer Conference by catching up with [Vincent Nijs](http://rady.ucsd.edu/faculty/directory/nijs/), associate professor of marketing at UC San Diego and one of the earliest adopters of Shiny. Some of the topics we cover include his journey to using R, his motivation and process for developing the [Radiant](http://vnijs.github.io/radiant/) Shiny application used by his students to perform business analytics, and how he would like to involve the community to add new capabilities to Radiant. I hope you enjoy this episode and thanks for listening!</googleplay:description> <content:encoded><![CDATA[<ul> <li>Radiant <a href="http://vnijs.github.io/radiant/">documentation</a> and <a href="https://github.com/vnijs/radiant">GitHub repo</a></li> <li>Using selectize input in Shiny applications <a href="http://shiny.rstudio.com/articles/selectize.html">article</a></li> <li>Recommendations for new R users: <a href="http://docs.ggplot2.org/current/">ggplot2</a>, <a href="https://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html">dplyr</a>, pipes with <a href="https://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html">magrittr</a> or <a href="https://github.com/renkun-ken/pipeR">pipeR</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/017-a-simply-radiant-chat-with-vincent-nijs/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;Vcb-a_mT" type="audio/mpeg" /><itunes:duration>0:37:19</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 16: Interview With Dean Attali</title> <link>https://www.r-podcast.org/016-interview-with-dean-attali/</link> <pubDate>Sat, 30 Jan 2016 07:28:43 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;pr-G9ivi</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>16</itunes:episode> <itunes:title>Episode 16: Interview With Dean Attali</itunes:title> <itunes:subtitle><, here is episode 16 of the [R-Podcast](www.r-podcast.org)! In this episode I sit down... ]]></itunes:subtitle> <itunes:summary>Direct from the first-ever [Shiny Developer conference](http://blog.rstudio.org/2015/10/29/shiny-developer-conference-stanford-university-january-2016/), here is episode 16 of the [R-Podcast](www.r-podcast.org)! In this episode I sit down with [Dean Attali](http://deanattali.com/) for an engaging conversation about his journey to using R, his motivation for creating the innovative [shinyjs](https://github.com/daattali/shinyjs) package, and his perspective on teaching others about R through his support of the innovative and highly-praised [Stats 545](http://stat545-ubc.github.io/) course at UBC. In addition you&#39;ll hear about how his previous work prepared him well for using R, his collaboration with the RStudio team, and much more. I hope you enjoy this episode and thanks for listening!</itunes:summary> <description>Direct from the first-ever [Shiny Developer conference](http://blog.rstudio.org/2015/10/29/shiny-developer-conference-stanford-university-january-2016/), here is episode 16 of the [R-Podcast](www.r-podcast.org)! In this episode I sit down with [Dean Attali](http://deanattali.com/) for an engaging conversation about his journey to using R, his motivation for creating the innovative [shinyjs](https://github.com/daattali/shinyjs) package, and his perspective on teaching others about R through his support of the innovative and highly-praised [Stats 545](http://stat545-ubc.github.io/) course at UBC. In addition you&#39;ll hear about how his previous work prepared him well for using R, his collaboration with the RStudio team, and much more. I hope you enjoy this episode and thanks for listening!</description> <googleplay:description>Direct from the first-ever [Shiny Developer conference](http://blog.rstudio.org/2015/10/29/shiny-developer-conference-stanford-university-january-2016/), here is episode 16 of the [R-Podcast](www.r-podcast.org)! In this episode I sit down with [Dean Attali](http://deanattali.com/) for an engaging conversation about his journey to using R, his motivation for creating the innovative [shinyjs](https://github.com/daattali/shinyjs) package, and his perspective on teaching others about R through his support of the innovative and highly-praised [Stats 545](http://stat545-ubc.github.io/) course at UBC. In addition you&#39;ll hear about how his previous work prepared him well for using R, his collaboration with the RStudio team, and much more. I hope you enjoy this episode and thanks for listening!</googleplay:description> <content:encoded><![CDATA[<h3 id="dean-attali-daattalihttpstwittercomdaattali">Dean Attali (<a href="https://twitter.com/daattali">@daattali</a>)</h3> <ul> <li><a href="http://deanattali.com/">Dean&rsquo;s site</a></li> <li><a href="https://github.com/daattali/shinyjs">shinyjs on GitHub</a></li> <li><a href="http://stat545-ubc.github.io/">Stats 545 course | University of British Columbia</a> led by <a href="https://github.com/jennybc">Jenny Bryan</a></li> <li><a href="https://www.codecademy.com">Code Academy</a> course on learning <a href="https://www.codecademy.com/learn/web">HTML and CSS</a></li> <li><a href="http://shiny.rstudio.com/articles/persistent-data-storage.html">Persistent data storage in Shiny Apps</a> article authored by Dean</li> </ul> <h3 id="package-pick">Package Pick</h3> <ul> <li><a href="http://swirlstats.com/">Swirl - Learn R, in R</a></li> </ul> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s post</li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;pr-G9ivi" type="audio/mpeg" /><itunes:duration>0:40:58</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 15: Introduction to Shiny</title> <link>https://www.r-podcast.org/015-introduction-to-shiny/</link> <pubDate>Thu, 31 Dec 2015 21:11:30 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;dsIjUSMx</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>15</itunes:episode> <itunes:title>Episode 15: Introduction to Shiny</itunes:title> <itunes:subtitle><! I give a brief introduction to the Shiny package for creating web applications using R code, provide some of my tips and tricks I have learned... ]]></itunes:subtitle> <itunes:summary>Just in time for the new year is a new episode of the [R-Podcast](https://www.r-podcast.org/)! I give a brief introduction to the Shiny package for creating web applications using R code, provide some of my tips and tricks I have learned (sometimes the hard way) when creating applications, and point to excellent resources and example apps in the community that show the immense potential at your fingertips. You will see that [r-podcast.org](https://www.r-podcast.org) has gotten a major overhaul, and as a consequence the RSS feeds have changed slightly. Be sure to check out the [Subscribe](https://www.r-podcast.org/stories/subscribe.html) page for the updated feeds, but all of the previous episodes have been migrated successfully. As always you can provide your feedback in multiple ways: * __New Feature__: Provide a comment on this [episode post](link://slug/the-r-podcast-episode-15-introduction-to-shiny#disqus_thread) directly (powered by the [Disqus](https://disqus.com/) commenting system) * Email the show at `thercast[at]gmail.com` * Use the new [Contact Form](https://www.r-podcast.org/stories/contact.html) directly on the site. * Leave a voicemail at at `&#43;1-269-849-9780`. Happy New Year and I hope you enjoy the episode!</itunes:summary> <description>Just in time for the new year is a new episode of the [R-Podcast](https://www.r-podcast.org/)! I give a brief introduction to the Shiny package for creating web applications using R code, provide some of my tips and tricks I have learned (sometimes the hard way) when creating applications, and point to excellent resources and example apps in the community that show the immense potential at your fingertips. You will see that [r-podcast.org](https://www.r-podcast.org) has gotten a major overhaul, and as a consequence the RSS feeds have changed slightly. Be sure to check out the [Subscribe](https://www.r-podcast.org/stories/subscribe.html) page for the updated feeds, but all of the previous episodes have been migrated successfully. As always you can provide your feedback in multiple ways: * __New Feature__: Provide a comment on this [episode post](link://slug/the-r-podcast-episode-15-introduction-to-shiny#disqus_thread) directly (powered by the [Disqus](https://disqus.com/) commenting system) * Email the show at `thercast[at]gmail.com` * Use the new [Contact Form](https://www.r-podcast.org/stories/contact.html) directly on the site. * Leave a voicemail at at `&#43;1-269-849-9780`. Happy New Year and I hope you enjoy the episode!</description> <googleplay:description>Just in time for the new year is a new episode of the [R-Podcast](https://www.r-podcast.org/)! I give a brief introduction to the Shiny package for creating web applications using R code, provide some of my tips and tricks I have learned (sometimes the hard way) when creating applications, and point to excellent resources and example apps in the community that show the immense potential at your fingertips. You will see that [r-podcast.org](https://www.r-podcast.org) has gotten a major overhaul, and as a consequence the RSS feeds have changed slightly. Be sure to check out the [Subscribe](https://www.r-podcast.org/stories/subscribe.html) page for the updated feeds, but all of the previous episodes have been migrated successfully. As always you can provide your feedback in multiple ways: * __New Feature__: Provide a comment on this [episode post](link://slug/the-r-podcast-episode-15-introduction-to-shiny#disqus_thread) directly (powered by the [Disqus](https://disqus.com/) commenting system) * Email the show at `thercast[at]gmail.com` * Use the new [Contact Form](https://www.r-podcast.org/stories/contact.html) directly on the site. * Leave a voicemail at at `&#43;1-269-849-9780`. Happy New Year and I hope you enjoy the episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="r-podcastorghttpswwwr-podcastorg-gets-a-face-lift"><a href="https://www.r-podcast.org">r-podcast.org</a> gets a face lift!</h3> <ul> <li>Now powered by the awesome <a href="www.getnikola.com">Nikola</a> static site generator. Able to write all content using markdown!</li> <li>Potential to use R-Markdown for future content! See Edward Borasky&rsquo;s excellent tutorial: <a href="http://www.znmeb.mobi/stories/blogging-with-rstudio-and-nikola">http://www.znmeb.mobi/stories/blogging-with-rstudio-and-nikola</a></li> <li>Shout out to Roberto and the rest of the <a href="https://getnikola.com/authors.html">Nikola contributors</a> for helping me fix some key <a href="https://groups.google.com/forum/#!topic/nikola-discuss/qYTaOoek-ic">migration issues</a>! Still a few tweaks to go, pardon the dust as I continue to make improvements.</li> <li>Now with SSL support via the <a href="https://letsencrypt.org/">lets encrypt</a> initiative, and the certificate is absolutely free!</li> </ul> <h3 id="my-shiny-development-tips">My shiny development tips</h3> <ul> <li>Start with the excellent <a href="http://shiny.rstudio.com/">Shiny development portal</a> by RStudio as well as <a href="https://www.rstudio.com/resources/webinars/">recent webinars</a></li> <li>Also check Dean Attali&rsquo;s <a href="http://deanattali.com/blog/building-shiny-apps-tutorial/">great tutorial</a> on his blog</li> <li>Shiny UI: Make sure to not have any missing commas or too many commas!</li> <li>On top of the official <a href="http://shiny.rstudio.com/gallery/">shiny app gallery</a>, also check out the <a href="https://www.rstudio.com/products/shiny/shiny-user-showcase/">shiny user showcase</a> as well as <a href="http://www.showmeshiny.com/">showmeshiny.com</a> for great examples.</li> <li>Many shiny functions (such as <code>reactive</code>) allow you to supply R code enclosed in <code>{}</code> as the first parameter. Like writing a regular R function, make sure that you explicitely call the desired result object at the end or use a <code>return</code> call.</li> <li>Using the sidebar layout is good for apps with a few UI controls and output containers, but my complex apps benefit from the flexibility offered by the grid layout system. See the <a href="http://shiny.rstudio.com/articles/layout-guide.html">layout article</a> for more details.</li> </ul> <h3 id="apps-that-helped-me-learn-the-power-of-shiny">Apps that helped me learn the power of Shiny</h3> <ul> <li><a href="http://vnijs.github.io/radiant/">Radiant</a>: Business analytics using R and Shiny by <a href="https://github.com/vnijs">Vincent Nijs</a></li> </ul> <h3 id="keeping-up-with-the-shiny-community">Keeping up with the Shiny community</h3> <ul> <li><a href="https://groups.google.com/group/shiny-discuss">shiny-discuss</a> mailing list</li> <li>shiny-related blog posts on <a href="r-bloggers.com">R-Bloggers</a></li> </ul> <h3 id="new-features-to-watch">New features to watch</h3> <ul> <li>Interactive Plots within Shiny itself. See the <a href="http://shiny.rstudio.com/articles/plot-interaction.html">interactive plots</a>, <a href="http://shiny.rstudio.com/articles/selecting-rows-of-data.html">selecting rows of data</a>, and <a href="http://shiny.rstudio.com/articles/plot-interaction-advanced.html">interactive plots advanced</a> articles.</li> <li>Plotly interaction with Shiny. See the <a href="https://plot.ly/r/shiny-tutorial/">Plotly graphs in shiny tutorial</a> for more details.</li> </ul> <h3 id="r-community-roundup">R Community Roundup</h3> <p><a href="http://www.buildingwidgets.com/">Building Widgets</a> blog by <a href="https://github.com/timelyportfolio">Kent Russell</a>: Great showcase of converting many different javascript libraries for use in R, many of which are a great fit for Shiny.</p> <ul> <li><a href="http://rich-iannone.github.io/DiagrammeR/">DiagrammeR</a></li> <li><a href="http://dataknowledge.github.io/visNetwork/">visNetwork</a></li> <li><a href="http://www.buildingwidgets.com/blog/2015/6/29/week-25-sweetalertr">sweetAlertR</a></li> </ul> <h3 id="package-pick">Package Pick</h3> <ul> <li><a href="https://github.com/sainathadapa/stubthat">stubthat</a>: Provide <a href="http://stackoverflow.com/a/463305">stubs</a> for use while unit testing in R.</li> </ul> <h3 id="news">News</h3> <h4 id="ggplot2-version-200-releasedhttpblogrstudioorg20151221ggplot2-2-0-0"><a href="http://blog.rstudio.org/2015/12/21/ggplot2-2-0-0/">ggplot2 version 2.0.0 released!</a></h4> <blockquote> <ul> <li>&ldquo;Perhaps the bigggest news in this release is that ggplot2 now has an official extension mechanism. This means that others can now easily create their on stats, geoms and positions, and provide them in other packages. This should allow the ggplot2 community to flourish, even as less development work happens in ggplot2 itself. See <a href="https://cran.rstudio.com/web/packages/ggplot2/vignettes/extending-ggplot2.html">vignette(&ldquo;extending-ggplot2&rdquo;)</a> for details.</li> <li>Additional details can be seen in the <a href="https://github.com/hadley/ggplot2/releases/tag/v2.0.0">release notes</a></li> </ul> </blockquote> <h3 id="feedback">Feedback</h3> <ul> <li>Leave a comment on this episode&rsquo;s <a href="https://www.r-podcast.org/015-introduction-to-shiny/">post</a></li> <li>Email the show: <code>thercast[at]gmail.com</code></li> <li>Use the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a></li> <li>Leave a voicemail at <code>+1-269-849-9780</code></li> </ul> <h3 id="music-credits">Music Credits</h3> <ul> <li>Opening and closing themes: <strong>Training Montage</strong> by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;dsIjUSMx" type="audio/mpeg" /><itunes:duration>0:50:51</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 14: Tips and Tricks for Using R-Markdown</title> <link>https://www.r-podcast.org/014-tips-and-tricks-for-using-r-markdown/</link> <pubDate>Wed, 18 Nov 2015 14:07:21 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;qs89DpXO</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>14</itunes:episode> <itunes:title>Episode 14: Tips and Tricks for Using R-Markdown</itunes:title> <itunes:subtitle>< is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I... ]]></itunes:subtitle> <itunes:summary>The [R-Podcast](http://www.r-podcast.org) is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further illustrate the rapidly growing use of R across many industries. A big thank you to all who expressed their support during the extended hiatus, and please don&#39;t hesitate to provide your feedback and suggestions for future episodes. I hope you enjoy this episode!</itunes:summary> <description>The [R-Podcast](http://www.r-podcast.org) is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further illustrate the rapidly growing use of R across many industries. A big thank you to all who expressed their support during the extended hiatus, and please don&#39;t hesitate to provide your feedback and suggestions for future episodes. I hope you enjoy this episode!</description> <googleplay:description>The [R-Podcast](http://www.r-podcast.org) is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further illustrate the rapidly growing use of R across many industries. A big thank you to all who expressed their support during the extended hiatus, and please don&#39;t hesitate to provide your feedback and suggestions for future episodes. I hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<h3 id="resources-produced-by-rstudio">Resources produced by RStudio:</h3> <ul> <li>R-Markdown home site: <a href="http://rmarkdown.rstudio.com/">http://rmarkdown.rstudio.com/</a> (check out the articles section)</li> <li>Webinar on getting started with R Markdown: <a href="https://www.rstudio.com/resources/webinars/archives/">https://www.rstudio.com/resources/webinars/archives/</a></li> <li>Webinar <strong>Escape the Land of LaTeX/Word for Statistical Reporting: The Ecosystem of R Markdown</strong>: <a href="https://www.rstudio.com/resources/webinars/">https://www.rstudio.com/resources/webinars/</a></li> <li><a href="https://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf">R-Markdown cheat sheet</a></li> <li><a href="https://www.rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf">R-Markdown Reference Guide</a></li> </ul> <h4 id="viewing-r-markdown-output-in-real-time">Viewing R-Markdown output in real-time</h4> <ul> <li>Use Yihui&rsquo;s <a href="https://github.com/yihui/servr">servr</a> package to provide real-time viewing of document in RStudio viewer while editing the source file.</li> </ul> <h4 id="creating-tables-in-r-markdown">Creating tables in R-markdown:</h4> <ul> <li><a href="https://rapporter.github.io/pander/">Pander</a> package offers many customized table options for markdown</li> <li><code>kable</code> function in the <code>knitr</code> package</li> </ul> <h4 id="dealing-with-multiple-output-formats">Dealing with multiple output formats:</h4> <ul> <li>If you want multiple formats and have the default options for one of the formats, use syntax like <code>pdf_document: default</code></li> <li><a href="https://trinkerrstuff.wordpress.com/2014/11/18/rmarkdown-alter-action-depending-on-document/">R-Markdown: Alter Action Depending on Document</a> by Tyler Rinker</li> </ul> <p>Insert following code chunk in beginning of document</p> <pre tabindex="0"><code class="language-{r}" data-lang="{r}">out_type &lt;- knitr::opts_knit$get(&quot;rmarkdown.pandoc.to&quot;) </code></pre><p>Then use conditional logic to perform different tasks depending on output type (docx, html, pdf, md)</p> <ul> <li><a href="http://rmarkdown.rstudio.com/articles_docx.html">Happy collaboration with Rmd to docx</a></li> </ul> <h4 id="interactivity-with-r-markdown">Interactivity with R Markdown:</h4> <ul> <li><a href="http://brendanrocks.com/htmlwidgets-knitr-jekyll/">Using <code>htmlwidgets</code> with Knitr and Jekyll</a> via Brendan Rocks blog</li> </ul> <h3 id="r-community-roundup">R Community Roundup</h3> <ul> <li><a href="http://rtalk.org/">The R-Talk Podcast</a>: Check out their interviews with David Smith and Jenny Bryan</li> <li><a href="https://soundcloud.com/nssd-podcast">Not So Standard Deviations Podcast</a>: While not specifically focused on R, it has come up quite a bit in their early episodes, such as their talk of the impact of the &ldquo;Hadleyverse&rdquo;</li> <li><a href="http://www.r-pkg.org/">METACRAN</a>: METACRAN is a (somewhat integrated) collection of small services around the CRAN repository of R packages. It contains this website, a mirror at GitHub, a database with API, package search, database of package downloads (from the RStudio mirror), tools to check R packages on GitHub, etc.</li> <li>Hadley Wickham&rsquo;s recent <a href="https://www.reddit.com/r/dataisbeautiful/comments/3mp9r7/im_hadley_wickham_chief_scientist_at_rstudio_and/">Redditt AMA</a>!</li> <li>First-ever <a href="http://blog.rstudio.org/2015/10/29/shiny-developer-conference-stanford-university-january-2016/">Shiny Developer Conference</a> to be held at Stanford University on January 30-21, 2016 (<a href="http://shiny2016.eventbrite.com/">agenda</a>)</li> </ul> <h3 id="package-pick">Package Pick</h3> <ul> <li><a href="https://github.com/adletaw/captioner">captioner</a>: An R package for generating figure/table numbers and captions, especially for Rmd docs</li> <li>Using captioner <a href="https://cran.rstudio.com/web/packages/captioner/vignettes/using_captioner.html">vignette</a></li> </ul> <h3 id="news">News</h3> <h4 id="linux-foundation-announces-r-consortium-to-support-millions-of-users-around-the-worldhttpswwwr-consortiumorgnewsannouncement201506linux-foundation-announces-r-consortium-support-millions-users-around"><a href="https://www.r-consortium.org/news/announcement/2015/06/linux-foundation-announces-r-consortium-support-millions-users-around">Linux Foundation Announces R Consortium to Support Millions of Users Around the World</a></h4> <blockquote> <ul> <li> <p>&ldquo;The R language is used by statisticians, analysts and data scientists to unlock value from data. It is a free and open source programming language for statistical computing and provides an interactive environment for data analysis, modeling and visualization. The R Consortium will complement the work of the R Foundation, a nonprofit organization based in Austria that maintains the language. The R Consortium will focus on user outreach and other projects designed to assist the R user and developer communities.&rdquo;</p> </li> <li> <p>&ldquo;Founding companies and organizations of the R Consortium include The R Foundation, Platinum members Microsoft and RStudio; Gold member TIBCO Software Inc.; and Silver members Alteryx, Google, HP, Mango Solutions, Ketchum Trading and Oracle.&rdquo;</p> </li> <li> <p>Hadley Wickham <a href="https://www.r-consortium.org/news/blogs/2015/09/r-consortium-infrastructure-steering-committee-isc-elects-chair">elected as chair of the Infrastructure Steering Committee (ISC)</a></p> </li> <li> <p>&ldquo;<a href="https://www.r-consortium.org/news/announcement/2015/11/r-consortium-awards-first-grant-help-advance-popular-programming-language">The R Consortium’s first grant</a> is awarded to Gábor Csárdi, Ph.D., to implement <a href="https://github.com/r-hub/proposal">R-Hub</a>, a new service for developing, building, testing and validating R packages. R-Hub will be complementary to both CRAN, the major repository for open source R packages, and R-Forge, the platform supporting R package developers. R-Hub will provide build services, continuous integration for R packages and a distribution mechanism for R package sources and binaries.&rdquo;</p> </li> </ul> </blockquote> <h4 id="microsoft-closes-acquisition-of-revolution-analyticshttpblogstechnetcombmachinelearningarchive20150406microsoft-closes-acquisition-of-revolution-analyticsaspx"><a href="http://blogs.technet.com/b/machinelearning/archive/2015/04/06/microsoft-closes-acquisition-of-revolution-analytics.aspx">Microsoft Closes Acquisition of Revolution Analytics</a></h4> <blockquote> <ul> <li> <p>&ldquo;R is the world’s most popular programming language for statistical computing and predictive analytics, used by more than 2 million people worldwide. Revolution has made R enterprise-ready with speed and scalability for the largest data warehouses and Hadoop systems. For example, by leveraging Intel’s Math Kernel Library (MKL), the freely available Revolution R Open <a href="http://blog.revolutionanalytics.com/2014/10/revolution-r-open-mkl.html">executes a typical R benchmark 2.5 times faster</a> than the standard R distribution and some functions, such as linear regression, run up to 20 times faster. With its unique parallel external memory algorithms, Revolution R Enterprise is able to <a href="http://www.revolutionanalytics.com/sites/default/files/revolution-analytics-sas-benchmark-whitepaper-mar2014.pdf">deliver speeds 42 times faster than competing technology from SAS</a>.&rdquo;</p> </li> <li> <p>&ldquo;<a href="http://blog.revolutionanalytics.com/2015/01/revolution-acquired.html">We’re excited</a> the work we’ve done with Revolution R will come to a wider audience through Microsoft. Our combined teams will be able to help more users use advanced analytics within Microsoft data platform solutions, both on-premises and in the cloud with Microsoft Azure. And just as importantly, the big-company resources of Microsoft will allow us to invest even more in the R Project and the Revolution R products. We will continue to sponsor local R user groups and R events, and expand our support for community initiatives. We’ll also have more resources behind our open-source R projects including RHadoop, DeployR and the Reproducible R Toolkit. And of course, we’ll be able to add further enhancements to Revolution R and bring R capabilities to the Microsoft suite of products.&rdquo;</p> </li> </ul> </blockquote> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;qs89DpXO" type="audio/mpeg" /><itunes:duration>1:01:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 13: Interview With Yihui Xie</title> <link>https://www.r-podcast.org/013-interview-with-yihui-xie/</link> <pubDate>Thu, 23 May 2013 08:43:17 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;7fXEdiWY</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>13</itunes:episode> <itunes:title>Episode 13: Interview With Yihui Xie</itunes:title> <itunes:subtitle><![CDATA[ It&#39;s an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include:... ]]></itunes:subtitle> <itunes:summary>It&#39;s an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include: Yihui&#39;s motivation for creating knitr and some key new features, how markdown plays a key role in making reproducible research more accessible, and an innovative approach for publishing and maintaining reproducible statistical results online, and much more on this &#39;lucky&#39; episode 13 of the R-Podcast!</itunes:summary> <description>It&#39;s an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include: Yihui&#39;s motivation for creating knitr and some key new features, how markdown plays a key role in making reproducible research more accessible, and an innovative approach for publishing and maintaining reproducible statistical results online, and much more on this &#39;lucky&#39; episode 13 of the R-Podcast!</description> <googleplay:description>It&#39;s an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include: Yihui&#39;s motivation for creating knitr and some key new features, how markdown plays a key role in making reproducible research more accessible, and an innovative approach for publishing and maintaining reproducible statistical results online, and much more on this &#39;lucky&#39; episode 13 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<h4 id="resources-mentioned-during-interview-with-yihui">Resources mentioned during interview with Yihui</h4> <ul> <li>Yihui&rsquo;s GitHub page: <a href="https://github.com/yihui">github.com/yihui/knitr</a></li> <li>Yihui&rsquo;s blog: <a href="http://yihui.name/en">yihui.name</a></li> <li><a href="http://cran.r-project.org/web/packages/roxygen2/index.html">ROxygen2 package</a> for easy creating R package documentation</li> <li>Yihui&rsquo;s <a href="https://github.com/yihui/rmini">Rmini package</a> on GitHub</li> <li>The knitr package <a href="http://yihui.name/knitr/">home page</a> and <a href="https://github.com/yihui/knitr">GitHub repository</a></li> <li>Using knitr and Sweave in Rstudio <a href="http://www.rstudio.com/ide/docs/authoring/overview">documentation</a></li> <li>The knitr <a href="https://groups.google.com/forum/#!forum/knitr">mailing list</a> and recent knitr questions on <a href="http://stackoverflow.com/questions/tagged/knitr">StackOverflow</a></li> <li><a href="http://vis.supstat.com/">Vistat</a> reproducible gallery of statistical graphics</li> </ul> <h4 id="r-community-roundup">R Community Roundup</h4> <ul> <li>R version 3.0.0 <a href="http://blog.revolutionanalytics.com/2013/04/r-version-3-released.html">highlights</a> as well as version 3.0.1 <a href="http://blog.revolutionanalytics.com/2013/05/r-301-released.html">highlights</a></li> </ul> <h4 id="package-pick">Package pick</h4> <ul> <li><a href="http://johnmacfarlane.net/pandoc/">Pandoc</a>: Powerful and customizable document conversion</li> </ul> <h4 id="how-to-interact-with-the-show">How to interact with the show</h4> <ul> <li>Submit your questions and comments via the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a>, or send an email to theRcast(at)gmail.com</li> <li>Send in an audio comment via audio attachment to theRcast(at)gmail.com, or leave a voicemail on the R-Podcast voicemail hotline: +1-269-849-9780</li> <li>Get show updates via our Twitter account: @theRcast</li> <li>Follow us on our R-Podcast Google Plus page: <a href="http://gplus.to/thercast">gplus.to/thercast</a></li> <li>Provide your favorite R community links at the R-Podcast subreddit: <a href="http://links.r-podcast.org/">links.r-podcast.org/</a></li> </ul> <h4 id="music-credits">Music Credits</h4> <ul> <li>The opening theme is entitled &ldquo;Super Fighting Robot X&rdquo; by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://maverick.ocremix.org/">Megaman X: Maverick Rising Album</a> at <a href="http://www.ocremix.org">ocremix.org</a></li> <li>The closing theme is entitled &ldquo;Countdown to Infinity&rdquo; by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://maverick.ocremix.org/">Megaman X: Maverick Rising Album</a> at <a href="http://www.ocremix.org">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;7fXEdiWY" type="audio/mpeg" /><itunes:duration>0:52:01</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 12: Using Version Control With R</title> <link>https://www.r-podcast.org/012-using-version-control-with-r/</link> <pubDate>Mon, 01 Apr 2013 05:44:10 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;xfCzHdQq</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>12</itunes:episode> <itunes:title>Episode 12: Using Version Control With R</itunes:title> <itunes:subtitle><![CDATA[ This is not an April Fool&#39;s joke ... The R-Podcast is back once again! In this episode, I discuss the concept of version control and how you can get started with using the Git VCS right now with your R projects. Also I discuss a big batch of... ]]></itunes:subtitle> <itunes:summary>This is not an April Fool&#39;s joke ... The R-Podcast is back once again! In this episode, I discuss the concept of version control and how you can get started with using the Git VCS right now with your R projects. Also I discuss a big batch of listener feedback, and highlight a couple of great visualization applications from the community using ggplot2. All of that and more on episode 12 of the R-Podcast!</itunes:summary> <description>This is not an April Fool&#39;s joke ... The R-Podcast is back once again! In this episode, I discuss the concept of version control and how you can get started with using the Git VCS right now with your R projects. Also I discuss a big batch of listener feedback, and highlight a couple of great visualization applications from the community using ggplot2. All of that and more on episode 12 of the R-Podcast!</description> <googleplay:description>This is not an April Fool&#39;s joke ... The R-Podcast is back once again! In this episode, I discuss the concept of version control and how you can get started with using the Git VCS right now with your R projects. Also I discuss a big batch of listener feedback, and highlight a couple of great visualization applications from the community using ggplot2. All of that and more on episode 12 of the R-Podcast!</googleplay:description> <content:encoded><![CDATA[<h4 id="the-basics-for-version-control-and-git">The basics for version control and Git</h4> <ul> <li>Why it&rsquo;s important: Backups and reproducibility</li> <li>Git is available for all major platforms, see GitHub page for installation instructions for all operating systems</li> <li>IDEs RStudio and Eclipse via Egit plugin offer integration of Git for easy usage</li> <li>Key commands: <code>git init</code>, <code>git add file.R</code>, <code>git commit -m &quot;my commit message&quot;</code></li> <li>Tell Git what files you don&rsquo;t want to be tracked with <code>.gitignore</code> file(s)</li> <li><a href="https://github.com/">GitHub</a> and <a href="https://bitbucket.org/">BitBucket</a> are two excellent remote repository host sites</li> <li><a href="http://en.wikipedia.org/wiki/Revision_control">Wikipedia</a> article on revision control</li> <li><a href="http://git-scm.com/book">Pro Git</a> book, with electronic copy available for free!</li> <li><a href="http://stackoverflow.com/questions/2286831/how-do-you-combine-revision-control-with-workflow-for-r">How do you combine revision control with workflow in R</a></li> <li><a href="http://stackoverflow.com/questions/2712421/r-and-version-control-for-the-solo-data-analyst">R and version control for the solo data analyst</a></li> <li>Jeremy Anglim&rsquo;s <a href="http://jeromyanglim.blogspot.com/2010/11/getting-started-with-git-egit-eclipse.html">tutorial</a> on Using Git, Egit, Eclipse, and GitHub for version control</li> <li><a href="http://www.win-vector.com/blog/2012/07/minimal-version-control-lesson-use-it/">Win-Vector blog</a> on minimal version control lesson</li> <li><a href="http://sixrevisions.com/resources/git-tutorials-beginners/">Top 10 Git Tutorials for Beginners</a></li> <li><a href="http://betterexplained.com/articles/aha-moments-when-learning-git/">Aha moments when learning Git</a></li> </ul> <h4 id="listener-feedback">Listener Feedback</h4> <ul> <li>Daniel provides link to Open Education Database: <a href="http://www.oedb.org/open">www.oedb.org/open</a></li> <li>StatisticsBlog: <a href="http://www.statisticsblog.com">www.statisticsblog.com</a></li> <li>Aron: <a href="http://pastebin.com/4SrXPgnh">Big data and parallel processing</a></li> <li>Eric: <a href="http://pastebin.com/WcaWSFii">Questions about data structures</a></li> <li>Adam: <a href="http://pastebin.com/KrcdZNE6">Text mining and workflow</a></li> <li>Randall offers first donation for the R-Podcast (thanks, Randall!)</li> </ul> <h4 id="r-community-roundup">R Community Roundup</h4> <ul> <li><a href="http://www.rodrigozamith.com/2013/03/20/visualizing-season-performance-by-ncaa-tournament-teams/">Visualization</a> of season performance of NCAA tournament teams by Rodrigo Zamith</li> <li>Plotting lm and glm models with ggplot via <a href="http://strengejacke.wordpress.com/2013/03/22/plotting-lm-and-glm-models-with-ggplot-rstats/">strengejacke.wordpress.com</a></li> </ul> <h4 id="package-pick">Package pick</h4> <ul> <li><a href="http://cran.r-project.org/web/packages/reports/">reports</a>: An R package to assist in the workflow of writing academic articles and other reports (via <a href="http://trinkerrstuff.wordpress.com/2013/03/12/reports-0-1-2-released/">TRinker&rsquo;s blog</a>)</li> </ul> <h4 id="how-to-interact-with-the-show">How to interact with the show</h4> <ul> <li>Submit your questions and comments via the R-Podcast <a href="https://www.r-podcast.org/contact/">contact page</a>, or send an email to theRcast(at)gmail.com</li> <li>Send in an audio comment via audio attachment to theRcast(at)gmail.com, or leave a voicemail on the R-Podcast voicemail hotline: +1-269-849-9780</li> <li>Get show updates via our Twitter account: @theRcast</li> <li>Follow us on our R-Podcast Google Plus page: <a href="http://gplus.to/thercast">gplus.to/thercast</a></li> <li>Provide your favorite R community links at the R-Podcast subreddit: <a href="http://links.r-podcast.org/">links.r-podcast.org/</a></li> </ul> <h4 id="music-credits">Music Credits</h4> <ul> <li>The opening theme is entitled &ldquo;Super Fighting Robot X&rdquo; by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://maverick.ocremix.org/">Megaman X: Maverick Rising Album</a> at <a href="http://www.ocremix.org">ocremix.org</a></li> <li>The closing theme is entitled &ldquo;Countdown to Infinity&rdquo; by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://maverick.ocremix.org/">Megaman X: Maverick Rising Album</a> at <a href="http://www.ocremix.org">ocremix.org</a></li> </ul> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;xfCzHdQq" type="audio/mpeg" /><itunes:duration>1:29:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 11: Reproducible Analysis Part 1 (Introduction)</title> <link>https://www.r-podcast.org/011-reproducible-analysis-part-1-introduction/</link> <pubDate>Tue, 13 Nov 2012 09:19:56 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;fSc4OI5x</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>11</itunes:episode> <itunes:title>Episode 11: Reproducible Analysis Part 1 (Introduction)</itunes:title> <itunes:subtitle><![CDATA[ Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the... ]]></itunes:subtitle> <itunes:summary>Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the capabilities of the knitr package (more episodes will be coming dedicated to this package), and my motivation for adapting reproducible analysis techniques and tools into my workflow. In our listener feedback segment I discuss a new means of providing feedback to the R-Podcast using our new sub-reddit page and introduce new segments highlighting interesting stories around the R community and useful packages. This promises to be an exciting season of the R-Podcast, and I hope you enjoy this episode!</itunes:summary> <description>Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the capabilities of the knitr package (more episodes will be coming dedicated to this package), and my motivation for adapting reproducible analysis techniques and tools into my workflow. In our listener feedback segment I discuss a new means of providing feedback to the R-Podcast using our new sub-reddit page and introduce new segments highlighting interesting stories around the R community and useful packages. This promises to be an exciting season of the R-Podcast, and I hope you enjoy this episode!</description> <googleplay:description>Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the capabilities of the knitr package (more episodes will be coming dedicated to this package), and my motivation for adapting reproducible analysis techniques and tools into my workflow. In our listener feedback segment I discuss a new means of providing feedback to the R-Podcast using our new sub-reddit page and introduce new segments highlighting interesting stories around the R community and useful packages. This promises to be an exciting season of the R-Podcast, and I hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<ul> <li>R-Podcast subreddit: <a href="http://links.r-podcast.org">links.r-podcast.org</a></li> <li>Sweave: <a href="http://www.stat.uni-muenchen.de/~leisch/Sweave/">http://www.stat.uni-muenchen.de/~leisch/Sweave/</a></li> <li>Knitr: <a href="http://yihui.name/knitr/">http://yihui.name/knitr/</a></li> <li>The Duke Research Trial Saga: <a href="http://simplystatistics.org/post/18378666076/the-duke-saga-starter-set">http://simplystatistics.org/post/18378666076/the-duke-saga-starter-set</a></li> <li>RStudio Shiny web application: <a href="http://www.rstudio.com/shiny/">http://www.rstudio.com/shiny/</a></li> <li>Listener Brock&rsquo;s NHL analysis blog: <a href="http://www.brocktibert.com/blog/?s=NHL">http://www.brocktibert.com/blog/?s=NHL</a></li> <li>Guide to installing latest version of R on Ubuntu: <a href="http://darrenjw.wordpress.com/2012/11/10/keeping-r-up-to-date-on-ubuntu-linux/">http://darrenjw.wordpress.com/2012/11/10/keeping-r-up-to-date-on-ubuntu-linux/</a></li> <li>R 2.15.2 release notes: <a href="http://blog.revolutionanalytics.com/2012/10/r-2152-now-available.html">http://blog.revolutionanalytics.com/2012/10/r-2152-now-available.html</a></li> <li>Guide to new theme system in ggplot 0.9.2.1: <a href="https://github.com/wch/ggplot2/wiki/New-theme-system">https://github.com/wch/ggplot2/wiki/New-theme-system</a></li> <li>Plyr package: <a href="http://plyr.had.co.nz/">http://plyr.had.co.nz/</a></li> <li>The opening theme is entitled &ldquo;Super Fighting Robot X&rdquo; by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://maverick.ocremix.org/">Megaman X: Maverick Rising Album</a> at <a href="http://www.ocremix.org">www.ocremix.org</a></li> <li>The closing theme is entitled &ldquo;Countdown to Infinity&rdquo; by <a href="http://ocremix.org/artist/5043/willrock">WillRock</a> from the <a href="http://maverick.ocremix.org/">Megaman X: Maverick Rising Album</a> at <a href="http://www.ocremix.org">www.ocremix.org</a></li> </ul> <p>Episode 11 Time Stamps</p> <pre><code>00:00 The R-Podcast #011 Reproducible Analysis Part 1 00:40 Introduction 02:43 Reproducible Research: Introduction 08:18 Sweave overview 16:20 Knitr overview 20:20 The Duke University Research Saga 30:56 What version control can offer 38:34 Presenting results 42:18 Listener feedback 60:55 R community roundup 69:39 Package pick: plyr 72:04 Wrapping up: subscribe at www.r-podcast.org, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast, Google Plus, links.r-podcast.org 77:21 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;fSc4OI5x" type="audio/mpeg" /><itunes:duration>1:17:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 10: Adventures in Data Munging Part 2</title> <link>https://www.r-podcast.org/010-adventures-in-data-munging-part-2/</link> <pubDate>Sun, 16 Sep 2012 16:13:09 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;16LtXvWY</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>10</itunes:episode> <itunes:title>Episode 10: Adventures in Data Munging Part 2</itunes:title> <itunes:subtitle><![CDATA[ I&#39;m happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and... ]]></itunes:subtitle> <itunes:summary>I&#39;m happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and RCurl packages to validate and import data from [hockey-reference.com](http://www.hockey-reference.com) for storage into a MySQL database. Our listener feedback segment contains another installment on the Pitfalls of R contributed by listener Frans. I want to thank everyone who has provided such positive feedback throughout the season, and I&#39;m looking forward to providing some exciting new content for season 2. I hope you enjoy the episode and check out our new contact page if you would like to provide any feedback. Thanks for listening!</itunes:summary> <description>I&#39;m happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and RCurl packages to validate and import data from [hockey-reference.com](http://www.hockey-reference.com) for storage into a MySQL database. Our listener feedback segment contains another installment on the Pitfalls of R contributed by listener Frans. I want to thank everyone who has provided such positive feedback throughout the season, and I&#39;m looking forward to providing some exciting new content for season 2. I hope you enjoy the episode and check out our new contact page if you would like to provide any feedback. Thanks for listening!</description> <googleplay:description>I&#39;m happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and RCurl packages to validate and import data from [hockey-reference.com](http://www.hockey-reference.com) for storage into a MySQL database. Our listener feedback segment contains another installment on the Pitfalls of R contributed by listener Frans. I want to thank everyone who has provided such positive feedback throughout the season, and I&#39;m looking forward to providing some exciting new content for season 2. I hope you enjoy the episode and check out our new contact page if you would like to provide any feedback. Thanks for listening!</googleplay:description> <content:encoded><![CDATA[<ul> <li>New additions to the RStudio team: <a href="blog.rstudio.org/2012/08/20/welcome-hadley-winston-and-garrett/">blog.rstudio.org/2012/08/20/welcome-hadley-winston-and-garrett/</a></li> <li>Over 4,000 packages on CRAN: <a href="http://blog.revolutionanalytics.com/2012/08/two-r-community-milestones.html">http://blog.revolutionanalytics.com/2012/08/two-r-community-milestones.html</a></li> <li>NHL Analysis web-scraping scripts on GitHub: <a href="https://github.com/thercast/nhl_analysis/tree/master/web-scraping">https://github.com/thercast/nhl_analysis/tree/master/web-scraping</a></li> <li>XML package: <a href="http://cran.r-project.org/web/packages/XML/index.html">http://cran.r-project.org/web/packages/XML/index.html</a></li> <li>RCurl package: <a href="http://cran.r-project.org/web/packages/RCurl/">http://cran.r-project.org/web/packages/RCurl/</a></li> <li>Hockey-Reference data: <a href="http://www.hockey-reference.com">http://www.hockey-reference.com</a></li> <li>Using R for Scraping Data Presentation at UseR! 2012: <a href="http://www.slideshare.net/rtelmore/user-2012-talk">http://www.slideshare.net/rtelmore/user-2012-talk</a></li> <li>Using RMySQL tutorial: <a href="http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html">http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html</a></li> <li>Jeroen Ooms' lme4 web application: <a href="http://www.stat.ucla.edu/~jeroen/lme4.html">http://www.stat.ucla.edu/~jeroen/lme4.html</a></li> <li>Coursera Course on R: <a href="https://www.coursera.org/course/compdata">https://www.coursera.org/course/compdata</a></li> <li>RPubs: <a href="http://rpubs.com/">http://rpubs.com/</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> <li>The closing theme is entitled &ldquo;The Way&rdquo; and provided by Jewbei from the <a href="http://armed.ocremix.org/">Wild Arms: ARMed and Dangerous</a> album at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 10 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #010 Adventures in Data Munging Part 2 00:33 Introduction 01:50 Wrapping up season 1 ... wait, what? 03:30 Rstudio team expands 05:41 R Community milestone 07:53 Discovering hockey-reference.com 10:54 Tips for readHTMLtable 21:10 Checking for valid data first 29:23 Minor processing needed 35:18 Saving data to MySQL database 45:26 Listener Feedback: Andrew 54:58 Frans: Pitfalls of R segment 2 63:40 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 69:14 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;16LtXvWY" type="audio/mpeg" /><itunes:duration>1:09:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 9: Adventures in Data Munging Part 1</title> <link>https://www.r-podcast.org/009-adventures-in-data-munging-part-1/</link> <pubDate>Sun, 05 Aug 2012 09:48:44 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;q5t-eFAZ</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>9</itunes:episode> <itunes:title>Episode 9: Adventures in Data Munging Part 1</itunes:title> <itunes:subtitle><![CDATA[ It’s great to be back with a new episode after an eventful break! This episode begins a series on my adventures in data munging, a.k.a data processing. I discuss three issues that demonstrate the flexibility and versatility R brings for... ]]></itunes:subtitle> <itunes:summary>It’s great to be back with a new episode after an eventful break! This episode begins a series on my adventures in data munging, a.k.a data processing. I discuss three issues that demonstrate the flexibility and versatility R brings for recoding messy values, important inconsistent data files, and pinpointing problematic observations and variables. We also have an extended listener feedback segment with an audio installment of the “pitfalls” of R contributed by listener Frans. I hope you enjoy this episode and keep passing along your feedback to theRcast(at)gmail.com and stop by the forums as well!</itunes:summary> <description>It’s great to be back with a new episode after an eventful break! This episode begins a series on my adventures in data munging, a.k.a data processing. I discuss three issues that demonstrate the flexibility and versatility R brings for recoding messy values, important inconsistent data files, and pinpointing problematic observations and variables. We also have an extended listener feedback segment with an audio installment of the “pitfalls” of R contributed by listener Frans. I hope you enjoy this episode and keep passing along your feedback to theRcast(at)gmail.com and stop by the forums as well!</description> <googleplay:description>It’s great to be back with a new episode after an eventful break! This episode begins a series on my adventures in data munging, a.k.a data processing. I discuss three issues that demonstrate the flexibility and versatility R brings for recoding messy values, important inconsistent data files, and pinpointing problematic observations and variables. We also have an extended listener feedback segment with an audio installment of the “pitfalls” of R contributed by listener Frans. I hope you enjoy this episode and keep passing along your feedback to theRcast(at)gmail.com and stop by the forums as well!</googleplay:description> <content:encoded><![CDATA[<ul> <li>Summary of UserR! 2012 conference: <a href="http://pairach.com/2012/06/24/user2012/">http://pairach.com/2012/06/24/user2012/</a></li> <li>R 2.15.1 release notes: <a href="http://cran.r-project.org/src/base/NEWS">http://cran.r-project.org/src/base/NEWS</a></li> <li>NHL Analysis GitHub Repo: <a href="https://github.com/thercast/nhl_analysis">https://github.com/thercast/nhl_analysis</a></li> <li>plyr package: <a href="http://plyr.had.co.nz/">http://plyr.had.co.nz/</a></li> <li>car package: <a href="http://cran.r-project.org/web/packages/car/index.html">http://cran.r-project.org/web/packages/car/index.html</a></li> <li>ProjectTemplate: <a href="http://www.projecttemplate.net/">http://www.projecttemplate.net/</a></li> <li>Hockey Summary Project: <a href="http://hsp.flyershistory.com/">http://hsp.flyershistory.com/</a></li> <li>Pitfalls of R blog post: <a href="http://pitfalls-r-us.blogspot.nl/2012/07/time-zones.html">http://pitfalls-r-us.blogspot.nl/2012/07/time-zones.html</a></li> </ul> <p><span style="text-decoration: underline;">Episode 9 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #009: Adventures in Data Munging Part 1 00:31 Introduction 01:38 Big news: +1 03:53 R 2.15.1 released 04:26 UseR! 2012 07:20 Hockey Summary Project 10:30 Dealing with empty files 15:18 Importing inconsistent data files 28:15 Recoding using car package 35:08 Useful functions for pinpointing issues 44:55 Listener Feedback 45:14 Daniel: Advice on data munging 55:01 Frans: Pitfalls of R 66:28 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast, Google Plus 71:22 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;q5t-eFAZ" type="audio/mpeg" /><itunes:duration>1:11:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 8: Visualization With `Ggplot2`</title> <link>https://www.r-podcast.org/008-visualization-with-ggplot2/</link> <pubDate>Wed, 20 Jun 2012 09:02:01 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;c-mbFzew</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>8</itunes:episode> <itunes:title>Episode 8: Visualization With `Ggplot2`</itunes:title> <itunes:subtitle><![CDATA[ I&#39;m happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to... ]]></itunes:subtitle> <itunes:summary>I&#39;m happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each team. The R code used in this episode will be available via GitHub. I also extend my thanks to the Going Linux podcast for plugging the R-Podcast. If you are interested in providing a listener tip about R, please call the voicemail hotline at &#43;1-269-849-9780 or record an audio clip and send it tothe Rcast(at)gmail.com. Please keep the wonderful feedback coming and hope you enjoy this episode!</itunes:summary> <description>I&#39;m happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each team. The R code used in this episode will be available via GitHub. I also extend my thanks to the Going Linux podcast for plugging the R-Podcast. If you are interested in providing a listener tip about R, please call the voicemail hotline at &#43;1-269-849-9780 or record an audio clip and send it tothe Rcast(at)gmail.com. Please keep the wonderful feedback coming and hope you enjoy this episode!</description> <googleplay:description>I&#39;m happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each team. The R code used in this episode will be available via GitHub. I also extend my thanks to the Going Linux podcast for plugging the R-Podcast. If you are interested in providing a listener tip about R, please call the voicemail hotline at &#43;1-269-849-9780 or record an audio clip and send it tothe Rcast(at)gmail.com. Please keep the wonderful feedback coming and hope you enjoy this episode!</googleplay:description> <content:encoded><![CDATA[<ul> <li>Screencast available at <a href="www.youtube.com/watch?v=L08YA4eJiUo">https://www.youtube.com/watch?v=L08YA4eJiUo</a></li> <li>The Going Linux Podcast: <a href="http://www.goinglinux.com">http://www.goinglinux.com</a></li> <li>Hockey Summary Project: <a href="http://hsp.flyershistory.com/">http://hsp.flyershistory.com/</a></li> <li>Plot Code on GitHub: <a href="https://github.com/thercast/nhl_analysis/blob/master/src/plot_demo_code.R">https://github.com/thercast/nhl_analysis/blob/master/src/plot_demo_code.R</a></li> <li>The R Inferno: <a href="http://www.burns-stat.com/pages/Tutor/R_inferno.pdf">http://www.burns-stat.com/pages/Tutor/R_inferno.pdf</a></li> <li>Cookbook for R by Winston Chang: <a href="http://wiki.stdout.org/rcookbook">http://wiki.stdout.org/rcookbook</a></li> <li>ggplot2 0.90 Transition Guide: <a href="http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf">http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf</a></li> <li>ggplot2 online reference: <a href="http://had.co.nz/ggplot2/">http://had.co.nz/ggplot2/</a></li> <li>ggplot2 GitHub wiki: <a href="https://github.com/hadley/ggplot2/wiki/">https://github.com/hadley/ggplot2/wiki/</a></li> <li>ggplot2 blog: <a href="http://blog.ggplot2.org/">http://blog.ggplot2.org/</a></li> <li>ggplot2 mailing list: <a href="https://groups.google.com/forum/?fromgroups#!forum/ggplot2">https://groups.google.com/forum/?fromgroups#!forum/ggplot2</a></li> <li>Kaplan-Meier Survival Plot with ggplot2: <a href="http://mcfromnz.wordpress.com/2011/11/06/kaplan-meier-survival-plot-with-at-risk-table/">http://mcfromnz.wordpress.com/2011/11/06/kaplan-meier-survival-plot-with-at-risk-table/</a></li> <li>Learning R Series: <a href="http://learnr.wordpress.com/2009/06/28/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-1/">http://learnr.wordpress.com/2009/06/28/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-1/</a></li> <li>Code A La Mode ggplot2 articles: <a href="http://codealamode.blogspot.com/search/label/ggplot2">http://codealamode.blogspot.com/search/label/ggplot2</a></li> <li>ggplot2 textbook by Hadley Wickham: <a href="http://tinyurl.com/ggplot2-book">http://tinyurl.com/ggplot2-book</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> <li>The closing theme is entitled &ldquo;The Way&rdquo; and provided by Jewbei from the <a href="http://armed.ocremix.org/">Wild Arms: ARMed and Dangerous</a> album at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 8 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #008 Visualization with ggplot2 00:34 Introduction 01:45 Thank you Going Linux 05:01 Listener feedback 14:14 ggplot2 background and philosophy 23:00 Description of data 30:20 Setting up our plot with ggplot function 38:15 Adding boxplot layer 44:31 Customizing appearance 60:35 Facet by era 67:02 Making code reproducible 73:03 Helpful ggplot2 resources 85:30 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 89:29 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;c-mbFzew" type="audio/mpeg" /><itunes:duration>1:29:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 7: Best Practices for Workflow Management</title> <link>https://www.r-podcast.org/007-best-practices-for-workflow-management/</link> <pubDate>Mon, 28 May 2012 20:54:31 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;kE096YWo</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>7</itunes:episode> <itunes:title>Episode 7: Best Practices for Workflow Management</itunes:title> <itunes:subtitle><![CDATA[ Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and... ]]></itunes:subtitle> <itunes:summary>Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task and via the ProjectTemplate package, along with the importance of version control. Please check out the new forums and let me know what you think! If you are interested in providing a listener tip about R, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . As always I welcome any other feedback you have. Thanks for listening! P.S. From our [Google Plus page](https://plus.google.com/u/0/b/111193531932434833188/), Darren pointed out that I switched forward slashes with backward slashes in my discussion about file paths in Episode 6. Thanks Darren!</itunes:summary> <description>Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task and via the ProjectTemplate package, along with the importance of version control. Please check out the new forums and let me know what you think! If you are interested in providing a listener tip about R, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . As always I welcome any other feedback you have. Thanks for listening! P.S. From our [Google Plus page](https://plus.google.com/u/0/b/111193531932434833188/), Darren pointed out that I switched forward slashes with backward slashes in my discussion about file paths in Episode 6. Thanks Darren!</description> <googleplay:description>Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task and via the ProjectTemplate package, along with the importance of version control. Please check out the new forums and let me know what you think! If you are interested in providing a listener tip about R, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . As always I welcome any other feedback you have. Thanks for listening! P.S. From our [Google Plus page](https://plus.google.com/u/0/b/111193531932434833188/), Darren pointed out that I switched forward slashes with backward slashes in my discussion about file paths in Episode 6. Thanks Darren!</googleplay:description> <content:encoded><![CDATA[<ul> <li>The new R-Podcast forums: <a href="http://www.r-podcast.org/forums/">http://www.r-podcast.org/forums/</a></li> <li>RStudio v0.96 release notes: <a href="http://blog.rstudio.org/2012/05/14/rstudio-v096/">http://blog.rstudio.org/2012/05/14/rstudio-v096/</a></li> <li>Cookbook for R by Winston Chang: <a href="http://wiki.stdout.org/rcookbook">http://wiki.stdout.org/rcookbook</a></li> <li>Stack Overflow post on workflow: <a href="http://stackoverflow.com/a/1434424/315664">http://stackoverflow.com/a/1434424/315664</a></li> <li>ProjectTemplate package: <a href="http://www.projecttemplate.net/index.html">http://www.projecttemplate.net/index.html</a></li> <li>RStudio Project feature: <a href="http://rstudio.org/docs/using/projects">http://rstudio.org/docs/using/projects</a></li> <li>Version control in RStudio: <a href="http://rstudio.org/docs/version_control/overview">http://rstudio.org/docs/version_control/overview</a></li> <li>Stack Overflow discussion on version control: <a href="http://stackoverflow.com/questions/2712421/r-and-version-control-for-the-solo-data-analyst">http://stackoverflow.com/questions/2712421/r-and-version-control-for-the-solo-data-analyst</a></li> <li>Setting up Git: <a href="http://help.github.com/">http://help.github.com/</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> <li>The closing theme is entitled &ldquo;The Way&rdquo; and provided by Jewbei from the <a href="http://armed.ocremix.org/">Wild Arms: ARMed and Dangerous</a> album at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 7 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #007 Best Practices for Workflow Management 00:31 Introduction 01:07 No more TV recording for now 03:40 New forums! 08:25 RStudio update v0.96 12:50 Listener feedback 19:35 Using source(), save(), save.image(), and load() 25:00 load.R, clean.R, func.R, do.R 29:50 ProjectTemplate 40:06 Version Control with Git, RStudio 46:30 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 52:44 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;kE096YWo" type="audio/mpeg" /><itunes:duration>0:52:44</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 6: Importing Data From External Sources</title> <link>https://www.r-podcast.org/006-importing-data-from-external-sources/</link> <pubDate>Sun, 29 Apr 2012 20:58:39 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;yvte2i_P</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>6</itunes:episode> <itunes:title>Episode 6: Importing Data From External Sources</itunes:title> <itunes:subtitle><![CDATA[ In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited textfiles using read.table and its varients. We also discuss recommendations for importing MS Excel spreadsheet... ]]></itunes:subtitle> <itunes:summary>In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited textfiles using read.table and its varients. We also discuss recommendations for importing MS Excel spreadsheet files, relational databases such as MySQL, data from HTML tables, and files produced by other statistical computing packages. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!</itunes:summary> <description>In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited textfiles using read.table and its varients. We also discuss recommendations for importing MS Excel spreadsheet files, relational databases such as MySQL, data from HTML tables, and files produced by other statistical computing packages. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!</description> <googleplay:description>In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited textfiles using read.table and its varients. We also discuss recommendations for importing MS Excel spreadsheet files, relational databases such as MySQL, data from HTML tables, and files produced by other statistical computing packages. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!</googleplay:description> <content:encoded><![CDATA[<ul> <li>R Data Import/Export Manual: <a href="http://cran.r-project.org/doc/manuals/R-data.html">http://cran.r-project.org/doc/manuals/R-data.html</a></li> <li>XLConnect Package: <a href="http://cran.r-project.org/web/packages/XLConnect/index.html">http://cran.r-project.org/web/packages/XLConnect/index.html</a></li> <li>XLConnect Website: <a href="http://miraisolutions.wordpress.com/2012/02/16/xlconnect-0-1-8/">http://miraisolutions.wordpress.com/2012/02/16/xlconnect-0-1-8/</a></li> <li>RMySQL Package: <a href="http://cran.r-project.org/web/packages/RMySQL/">http://cran.r-project.org/web/packages/RMySQL/</a></li> <li>Accessing MySQL through R: <a href="http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html">http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html</a></li> <li>XML Package: <a href="http://cran.r-project.org/web/packages/XML/index.html">http://cran.r-project.org/web/packages/XML/index.html</a></li> <li>foreign Package: <a href="http://cran.r-project.org/web/packages/foreign/index.html">http://cran.r-project.org/web/packages/foreign/index.html</a></li> <li>sas7bdat Package: <a href="http://cran.r-project.org/web/packages/sas7bdat/index.html">http://cran.r-project.org/web/packages/sas7bdat/index.html</a></li> <li>sas7bdat on GitHub: <a href="https://github.com/biostatmatt/sas7bdat">https://github.com/biostatmatt/sas7bdat</a></li> <li>ESPN NHL playoff statistics table: <a href="http://espn.go.com/nhl/statistics/team/_/stat/scoring/year/2012/seasontype/3">http://espn.go.com/nhl/statistics/team/_/stat/scoring/year/2012/seasontype/3</a></li> <li>MythTV: <a href="http://www.mythtv.org/">http://www.mythtv.org/</a></li> <li>R script used in this episode: <a href="https://github.com/thercast/importing-data/blob/master/importing-data-basics.R">https://github.com/thercast/importing-data/blob/master/importing-data-basics.R</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> <li>The Closing theme is entitled Crysis Crystal and provided by K-wix from the <a href="http://backinblue.ocremix.org/">Mega Man 9: Back in Blue</a> album at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 6 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #006 Importing Data from External Sources 00:34 Introduction 01:46 Listener Feedback 07:45 Description of delimited text files 09:18 Using read.table and key arguments 18:17 R Data Import-Export Manual 19:10 Importing spreadsheet data considerations 21:10 XLConnect package advantages 25:20 Importing HTML tables using XML package 33:55 Using RMySQL with MySQL databases 43:52 Data from other statistical software 44:18 The foreign package 45:45 sas7bdat package 49:13 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780 53:54 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;yvte2i_P" type="audio/mpeg" /><itunes:duration>0:54:03</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 5: Basic Package Management</title> <link>https://www.r-podcast.org/005-basic-package-management/</link> <pubDate>Sun, 15 Apr 2012 12:41:26 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;3Jhed6qB</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>5</itunes:episode> <itunes:title>Episode 5: Basic Package Management</itunes:title> <itunes:subtitle><![CDATA[ After a brief delay here&#39;s episode 5 of the R-Podcast. In this episode: R 2.15.0 released, listener feedback, and discussion on basic package management. I discuss helpful resources for finding packages,installation procedures, and how to... ]]></itunes:subtitle> <itunes:summary>After a brief delay here&#39;s episode 5 of the R-Podcast. In this episode: R 2.15.0 released, listener feedback, and discussion on basic package management. I discuss helpful resources for finding packages,installation procedures, and how to determine what packages are installed in your R system, among other considerations. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!</itunes:summary> <description>After a brief delay here&#39;s episode 5 of the R-Podcast. In this episode: R 2.15.0 released, listener feedback, and discussion on basic package management. I discuss helpful resources for finding packages,installation procedures, and how to determine what packages are installed in your R system, among other considerations. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!</description> <googleplay:description>After a brief delay here&#39;s episode 5 of the R-Podcast. In this episode: R 2.15.0 released, listener feedback, and discussion on basic package management. I discuss helpful resources for finding packages,installation procedures, and how to determine what packages are installed in your R system, among other considerations. If you are interested in providing a listener tip about R in audio format, please call the voicemail hotline at &#43;1-269-849-9780 or record a short mp3 or ogg audio clip and send it to theRcast(at)gmail.com . Hope you enjoy the episode!</googleplay:description> <content:encoded><![CDATA[<ul> <li>R version 2.15.0 release notes: <a href="http://cran.r-project.org/src/base/NEWS.html">http://cran.r-project.org/src/base/NEWS.html</a></li> <li>&ldquo;R Fell on Alabama Last Night&rdquo; presentation by Kent: <a href="https://www.youtube.com/watch?v=W8d54ThS37Q">https://www.youtube.com/watch?v=W8d54ThS37Q</a></li> <li>R script used in this episode: <a href="https://github.com/thercast/package_admin/blob/master/basic-package-management.R">https://github.com/thercast/package_admin/blob/master/basic-package-management.R</a></li> <li>R packages included by default: <a href="http://cran.r-project.org/doc/manuals/R-FAQ.html#Which-add_002don-packages-exist-for-R_003f">http://cran.r-project.org/doc/manuals/R-FAQ.html#Which-add_002don-packages-exist-for-R_003f</a></li> <li>CRAN Task Views: <a href="http://cran.r-project.org/web/views/">http://cran.r-project.org/web/views/</a></li> <li>R-Forge: <a href="https://r-forge.r-project.org">https://r-forge.r-project.org</a></li> <li>RSeek: <a href="http://www.rseek.org">http://www.rseek.org</a></li> <li>Crantastic: <a href="http://www.crantastic.org">http://www.crantastic.org</a></li> <li>unknownR R package list: <a href="http://unknownr.r-forge.r-project.org/toppkgs.html">http://unknownr.r-forge.r-project.org/toppkgs.html</a></li> <li>Rtools: <a href="http://cran.r-project.org/bin/windows/Rtools">http://cran.r-project.org/bin/windows/Rtools</a></li> <li>R Administration Manual-Updating packages: <a href="http://cran.r-project.org/doc/manuals/R-admin.html#Updating-packages">http://cran.r-project.org/doc/manuals/R-admin.html#Updating-packages</a></li> <li>Upgrading R on Windows and updating packages: <a href="http://www.r-statistics.com/2010/04/changing-your-r-upgrading-strategy-and-the-r-code-to-do-it-on-windows/">http://www.r-statistics.com/2010/04/changing-your-r-upgrading-strategy-and-the-r-code-to-do-it-on-windows/</a></li> <li>UCLA R FAQ on managing packages: <a href="http://www.ats.ucla.edu/stat/r/faq/packages.htm">http://www.ats.ucla.edu/stat/r/faq/packages.htm</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> <li>The Closing theme is entitled Crysis Crystal and provided by K-wix from the <a href="http://backinblue.ocremix.org/">Mega Man 9: Back in Blue</a> album at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 5 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #005 Basic Package Management 00:32 Introduction 01:06 R 2.15.0 &quot;Easter Beagle&quot; released 02:01 Listener Feedback 09:02 What is a package? 12:00 Libraries 13:33 What packages do you have? 19:36 Finding packages 33:26 Installing packages 46:12 Using packages 51:08 Updating packages 58:12 Wrapping up: subscribe to the podcast, theRcast(at)gmail.com, + 1-269-849-9780 61:14 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;3Jhed6qB" type="audio/mpeg" /><itunes:duration>1:01:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 4: Data Structures - Introduction</title> <link>https://www.r-podcast.org/004-data-structures-introduction/</link> <pubDate>Sun, 25 Mar 2012 18:03:18 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;AQmIEJ0x</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>4</itunes:episode> <itunes:title>Episode 4: Data Structures - Introduction</itunes:title> <itunes:subtitle><![CDATA[ In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is... ]]></itunes:subtitle> <itunes:summary>In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is available in our GitHub repository, see the show notes for details. Leave us a voicemail a &#43;1-269-849-9780, or send an email or audio comment to theRcast[at]gmail.com. Thanks for listening!</itunes:summary> <description>In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is available in our GitHub repository, see the show notes for details. Leave us a voicemail a &#43;1-269-849-9780, or send an email or audio comment to theRcast[at]gmail.com. Thanks for listening!</description> <googleplay:description>In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is available in our GitHub repository, see the show notes for details. Leave us a voicemail a &#43;1-269-849-9780, or send an email or audio comment to theRcast[at]gmail.com. Thanks for listening!</googleplay:description> <content:encoded><![CDATA[<ul> <li>Our Google Plus page: <a href="http://goplus.us/rpodcast">http://goplus.us/rpodcast</a></li> <li>R Twotorials: <a href="http://www.twotorials.com">http://www.twotorials.com</a></li> <li>Stats Makes Me Cry: <a href="http://www.statsmakemecry.com">http://www.statsmakemecry.com</a></li> <li>RSeek: <a href="http://www.rseek.org">http://www.rseek.org</a></li> <li>R Reference Card: <a href="http://cran.r-project.org/doc/contrib/Short-refcard.pdf">http://cran.r-project.org/doc/contrib/Short-refcard.pdf</a></li> <li>R script used in this episode: <a href="https://github.com/thercast/data-structures/blob/master/data-structures-introduction.R">https://github.com/thercast/data-structures/blob/master/data-structures-introduction.R</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> <li>The Closing theme is entitled Crysis Crystal and provided by K-wix from the <a href="http://backinblue.ocremix.org/">Mega Man 9: Back in Blue</a> album at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 4 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #004 Data Structures-Introduction 00:31 Introduction 01:56 Google Plus info 03:10 Other screencasts about R 05:23 Listener Feedback 08:57 Data Structures 10:40 Vectors 18:30 Matrices 24:17 Lists 31:30 Data Frames 41:36 R Reference Card 43:52 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 49:26 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;AQmIEJ0x" type="audio/mpeg" /><itunes:duration>0:49:26</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 3: Basic Interaction With R</title> <link>https://www.r-podcast.org/003-basic-interaction-with-r/</link> <pubDate>Sun, 11 Mar 2012 22:54:12 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;Xa6Me7Ws</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>3</itunes:episode> <itunes:title>Episode 3: Basic Interaction With R</itunes:title> <itunes:subtitle><![CDATA[ In this episode: New versions of R and ggplot2 available, listener feedback, and an interactive session with R. The R code discussed in this episode will be available in our GitHub repository, see the show notes for details. There will be a... ]]></itunes:subtitle> <itunes:summary>In this episode: New versions of R and ggplot2 available, listener feedback, and an interactive session with R. The R code discussed in this episode will be available in our GitHub repository, see the show notes for details. There will be a companion screencast to accompany this episode which will be posted shortly. As always, please provide your feedback via email or audio comment to theRcast[at]gmail.com or leave us a voicemail at 1-269-849-9780.</itunes:summary> <description>In this episode: New versions of R and ggplot2 available, listener feedback, and an interactive session with R. The R code discussed in this episode will be available in our GitHub repository, see the show notes for details. There will be a companion screencast to accompany this episode which will be posted shortly. As always, please provide your feedback via email or audio comment to theRcast[at]gmail.com or leave us a voicemail at 1-269-849-9780.</description> <googleplay:description>In this episode: New versions of R and ggplot2 available, listener feedback, and an interactive session with R. The R code discussed in this episode will be available in our GitHub repository, see the show notes for details. There will be a companion screencast to accompany this episode which will be posted shortly. As always, please provide your feedback via email or audio comment to theRcast[at]gmail.com or leave us a voicemail at 1-269-849-9780.</googleplay:description> <content:encoded><![CDATA[<ul> <li>R version 2.14.2 release notes: <a href="https://stat.ethz.ch/pipermail/r-announce/2012/000550.html">https://stat.ethz.ch/pipermail/r-announce/2012/000550.html</a></li> <li>New features in ggplot2 0.90: <a href="http://blog.revolutionanalytics.com/2012/03/new-data-visualization-features-in-ggplot2-update.html">http://blog.revolutionanalytics.com/2012/03/new-data-visualization-features-in-ggplot2-update.html</a></li> <li>Tip on starting R GUI on Linux: <code>R --gui tk</code></li> <li>R script used in this episode: <a href="https://github.com/thercast/basic-interaction-with-R/blob/master/basic-session-code.R">https://github.com/thercast/basic-interaction-with-R/blob/master/basic-session-code.R</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> <li>The Closing theme is entitled Crysis Crystal and provided by K-wix from the <a href="http://backinblue.ocremix.org/">Mega Man 9: Back in Blue</a> album at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 3 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #003 Getting Ready to Use R 00:31 Introduction 01:17 New versions of R and ggplot2 03:17 Code on GitHub Repository 05:36 Screencast information 08:09 Listener Feedback 16:18 Basic Interaction with R 16:40 The R Console 19:51 Example R script file 55:20 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780 61:11 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;Xa6Me7Ws" type="audio/mpeg" /><itunes:duration>1:01:00</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 2: Getting Ready to Use R</title> <link>https://www.r-podcast.org/002-getting-ready-to-use-r/</link> <pubDate>Sun, 26 Feb 2012 20:43:52 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;xQXNIy-R</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>2</itunes:episode> <itunes:title>Episode 2: Getting Ready to Use R</itunes:title> <itunes:subtitle><![CDATA[ In this episode: A couple of site updates, our first listener feedback, an overview of installing R on each major platform, and an overview of R IDEs and helpful resources for getting started with R. If you would like to provide feedback,... ]]></itunes:subtitle> <itunes:summary>In this episode: A couple of site updates, our first listener feedback, an overview of installing R on each major platform, and an overview of R IDEs and helpful resources for getting started with R. If you would like to provide feedback, please send an email or audio comment to theRcast[at]gmail.com or leave us a voicemail at 1-269-849-9780.</itunes:summary> <description>In this episode: A couple of site updates, our first listener feedback, an overview of installing R on each major platform, and an overview of R IDEs and helpful resources for getting started with R. If you would like to provide feedback, please send an email or audio comment to theRcast[at]gmail.com or leave us a voicemail at 1-269-849-9780.</description> <googleplay:description>In this episode: A couple of site updates, our first listener feedback, an overview of installing R on each major platform, and an overview of R IDEs and helpful resources for getting started with R. If you would like to provide feedback, please send an email or audio comment to theRcast[at]gmail.com or leave us a voicemail at 1-269-849-9780.</googleplay:description> <content:encoded><![CDATA[<ul> <li>The R-Project site: <a href="http://www.r-project.org/">http://www.r-project.org/</a></li> <li>RStudio: <a href="http://www.rstudio.org">www.rstudio.org</a></li> <li>Emacs + ESS: <a href="http://ess.r-project.org/">http://ess.r-project.org/</a></li> <li>Eclipse + StatET: <a href="http://www.eclipse.org/">http://www.eclipse.org/</a> and <a href="http://www.walware.de/goto/statet">http://www.walware.de/goto/statet</a></li> <li>R-Resources page: <a href="http://www.r-podcast.org/r-resources/">http://www.r-podcast.org/r-resources/</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 2 Time Stamps</span></p> <pre><code>00:00 The R-Podcast 002 Getting Ready to Use R 00:31 Introduction 01:09 Site Updates 03:40 Listener Feedback 07:02 Downloading and Installing R 17:34 R IDEs 26:00 Additional Resources at r-podcast.org/r-resources 27:40 Wrapping up: subscribe to the podcast, theRcast@gmail.com, 1-269-849-9780 31:34 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;xQXNIy-R" type="audio/mpeg" /><itunes:duration>0:31:34</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item> <item> <title>Episode 1: Introduction</title> <link>https://www.r-podcast.org/001-introduction/</link> <pubDate>Sun, 12 Feb 2012 16:52:20 -0500 </pubDate> <dc:creator></dc:creator> <guid>https://player.fireside.fm/v2/yS9jeZiZ&#43;jw5FxSqj</guid> <itunes:author> Eric Nantz</itunes:author> <itunes:episode>1</itunes:episode> <itunes:title>Episode 1: Introduction</itunes:title> <itunes:subtitle><![CDATA[ Here is the inaugural episode of the R-Podcast! In this episode, I take a few minutes to introduce myself and to explain the main goals of this podcast. I also define what R is and give an overview of R&#39;s history of development and features... ]]></itunes:subtitle> <itunes:summary>Here is the inaugural episode of the R-Podcast! In this episode, I take a few minutes to introduce myself and to explain the main goals of this podcast. I also define what R is and give an overview of R&#39;s history of development and features that distinguish it from other statistical software. Please feel free to send your feedback to theRcast[at]gmail.com or leave a voice mail at 1-269-849-9780.</itunes:summary> <description>Here is the inaugural episode of the R-Podcast! In this episode, I take a few minutes to introduce myself and to explain the main goals of this podcast. I also define what R is and give an overview of R&#39;s history of development and features that distinguish it from other statistical software. Please feel free to send your feedback to theRcast[at]gmail.com or leave a voice mail at 1-269-849-9780.</description> <googleplay:description>Here is the inaugural episode of the R-Podcast! In this episode, I take a few minutes to introduce myself and to explain the main goals of this podcast. I also define what R is and give an overview of R&#39;s history of development and features that distinguish it from other statistical software. Please feel free to send your feedback to theRcast[at]gmail.com or leave a voice mail at 1-269-849-9780.</googleplay:description> <content:encoded><![CDATA[<ul> <li>The R-Project site: <a href="http://www.r-project.org/">http://www.r-project.org/</a></li> <li>Wikipedia page for R: <a href="http://en.wikipedia.org/wiki/R_%28programming_language%29">http://en.wikipedia.org/wiki/R_%28programming_language%29</a></li> <li>Draft of manuscript &ldquo;R: Past and Future History&rdquo; by Ross Ihaka: <a href="http://cran.r-project.org/doc/html/interface98-paper/paper.html">http://cran.r-project.org/doc/html/interface98-paper/paper.html</a></li> <li>The R Project: A Brief History and Thoughts About the Future by Ross Ihaka (Massey University 2009): <a href="http://www.stat.auckland.ac.nz/%7Eihaka/downloads/Massey.pdf">http://www.stat.auckland.ac.nz/%7Eihaka/downloads/Massey.pdf</a></li> <li>History of S and R presentation by John Chambers at useR! 2006: <a href="http://www.r-project.org/user-2006/Slides/Chambers.pdf">http://www.r-project.org/user-2006/Slides/Chambers.pdf</a></li> <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/">Return All Robots Remix Album</a> at <a href="http://ocremix.org/">ocremix.org</a></li> </ul> <p><span style="text-decoration: underline;">Episode 1 Time Stamps</span></p> <pre><code>00:00 The R-Podcast #001 Introduction 00:31 Introduction 01:31 About me 05:00 Goals of the R-Podcast 08:01 What is R? 12:22 Why I am a fan of R 16:50 History of R development 24:25 About the r-podcast.org site 25:54 How to subscribe 27:34 Feedback: theRcast@gmail.com, + 1-269-849-9780 30:52 End </code></pre> ]]></content:encoded><enclosure url="https://player.fireside.fm/v2/yS9jeZiZ&#43;jw5FxSqj" type="audio/mpeg" /><itunes:duration>0:30:52</itunes:duration><itunes:explicit>false</itunes:explicit> <googleplay:explicit>no</googleplay:explicit></item></channel> </rss>