<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"  xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd">
<channel>
<title>R Weekly</title>
<link>https://rweekly.org</link>
<atom:link href="https://rweekly.org/podcast.xml" rel="self" type="application/rss+xml"/>
<language>en-us</language>
<pubDate>Mon, 13 Apr 2026 21:24:28 +0000</pubDate>
<lastBuildDate>Mon, 13 Apr 2026 21:24:28 +0000</lastBuildDate>
<copyright>All rights reserved</copyright>
<webMaster>mail@rweekly.org (R Weekly)</webMaster>
<itunes:subtitle>R Weekly</itunes:subtitle>
<itunes:author>R Weekly</itunes:author>

<itunes:summary>Data &amp; Fun. Weekly updates from the R programming language open source community. #rstats</itunes:summary>
<description>Data &amp; Fun. Weekly updates from the R programming language open source community. #rstats</description>

<itunes:owner>
<itunes:name>R Weekly</itunes:name>
<itunes:email>mail@rweekly.org (R Weekly)</itunes:email>
</itunes:owner>

<itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png"/>

<itunes:category text="Technology">
    <itunes:category text="Software How-To"/>
    <itunes:category text="Tech News"/>
    <itunes:category text="Podcasting"/>
</itunes:category>
<itunes:category text="Business"/>
<itunes:category text="Education"/>
<itunes:category text="Science &amp; Medicine">
    <itunes:category text="Natural Sciences"/>
    <itunes:category text="Social Sciences"/>
    <itunes:category text="Medicine"/>
</itunes:category>

<itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, code, programming, hacker, software engineering, business intelligence, AI, data visualization,  statistics, data science, machine learning</itunes:keywords>

<itunes:explicit>no</itunes:explicit>

    
    <item>
        <title>2017 July - R 3.4.1</title>
        <link>https://cloud.rweekly.org/2017-july.mp3</link>
        <pubDate>Mon, 03 Jul 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About R 3.4.1, new dplyr & dbplyr, UseR! 2016 & 2017. https://rweekly.org/2017-27.html</p>
<ul>
<li>Read <a href="https://rweekly.org/2017-27.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 27</a></li>
</ul>
<p></p>
<ul>
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul>
<ul>
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>
</ul>
<ul>
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-july.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-july.mp3" length="4040260" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>2:41</itunes:duration>
        <itunes:summary>About R 3.4.1, new dplyr & dbplyr, UseR! 2016 & 2017. https://rweekly.org/2017-27.html</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>R 3.4.1</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017 June - Go Deep and Readers' Feedback</title>
        <link>https://cloud.rweekly.org/2017-june.mp3</link>
        <pubDate>Mon, 05 Jun 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About readers' feedback, rOpenSci Unconference 2017, Keras and more.</p>
<ul>
<li>Read <a href="https://rweekly.org/2017-23.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 23</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-june.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-june.mp3" length="5365293" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>3:30</itunes:duration>
        <itunes:summary>About readers' feedback, rOpenSci Unconference 2017, Keras and more. https://rweekly.org/2017-23.html</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>Go Deep and Readers' Feedback</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017 May - New R packages to handle binary files</title>
        <link>https://cloud.rweekly.org/2017-may.mp3</link>
        <pubDate>Mon, 01 May 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About R 3.4.0 new features, R packages to handle binary files and more.</p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-18.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 18</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-may.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-may.mp3" length="5785797" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>3:48</itunes:duration>
        <itunes:summary>About R 3.4.0 new features, R packages to handle binary files and more. https://rweekly.org/2017-18.html</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>New R packages to handle binary files</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017:16 dplyr new features</title>
        <link>https://cloud.rweekly.org/2017-16.mp3</link>
        <pubDate>Mon, 17 Apr 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About dplyr new features, report on the 2017 Society of American Archaeology meeting about R and more. </p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-16.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 16</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-16.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-16.mp3" length="5368226" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>3:32</itunes:duration>
        <itunes:summary>About dplyr new features, report on the 2017 Society of American Archaeology meeting about R and more. https://rweekly.org/2017-16.html</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>dplyr new features</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017:15 R Consortium Q1 2017 ISC Grants</title>
        <link>https://cloud.rweekly.org/2017-15.mp3</link>
        <pubDate>Mon, 10 Apr 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About R Consortium Q1 2017 ISC Grants, the latest R Core updates and more.</p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-15.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 15</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-15.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-15.mp3" length="8100158" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>5:26</itunes:duration>
        <itunes:summary>About R Consortium Q1 2017 ISC Grants, the latest R Core updates and more. https://rweekly.org/2017-15.html</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>R Consortium Q1 2017 ISC Grants</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017:14 20 years ago</title>
        <link>https://cloud.rweekly.org/2017-14.mp3</link>
        <pubDate>Mon, 03 Apr 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About collaboration with R, 20 years of CRAN and more.  </p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-14.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 14</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-14.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-14.mp3" length="5739957" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>3:48</itunes:duration>
        <itunes:summary>About collaboration with R, 20 years of CRAN and more. https://rweekly.org/2017-14.html</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>20 years ago</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017:13 How to find new R packages</title>
        <link>https://cloud.rweekly.org/2017-13.mp3</link>
        <pubDate>Mon, 27 Mar 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About how to find new R packages, use of an R package to facilitate reproducible research, registering routines with Rcpp  and more.</p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-13.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 13</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-13.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-13.mp3" length="7572195" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>5:05</itunes:duration>
        <itunes:summary>About how to find new R packages, use of an R package to facilitate reproducible research, registering routines with Rcpp  and more.  https://rweekly.org/2017-13.html</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>How to find new R packages</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017:12 Learning to learn</title>
        <link>https://cloud.rweekly.org/2017-12.mp3</link>
        <pubDate>Mon, 20 Mar 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About the levels of data science class, learning to learn programming languages, hexagon sticker with R and more.</p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-12.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 12</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-12.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-12.mp3" length="8445849" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>5:42</itunes:duration>
        <itunes:summary>About the levels of data science class, learning to learn programming languages, hexagon sticker with R and more.</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>Learning to learn</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017:11 What’s new in R 3.3.3</title>
        <link>https://cloud.rweekly.org/2017-11.mp3</link>
        <pubDate>Mon, 13 Mar 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>About expressing yourself with R, R 3.3.3 release, R Google Summer of Code 2017, and more.</p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-11.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 11</a></li>
</ul>
<p></p>
<ul> 
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>
</ul> 
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   
</ul>
<ul> 
<li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
</ul>
<ul>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-11.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-11.mp3" length="7695255" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>5:12</itunes:duration>
        <itunes:summary>About expressing yourself with R, R 3.3.3 release, R Google Summer of Code 2017, and more. Read R Weekly 2017 issue 11 on RWeekly.org.</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , ggplot2 </itunes:keywords>
        <itunes:subtitle>What’s new in R 3.3.3</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

    <item>
        <title>2017:10 The future is here</title>
        <link>https://cloud.rweekly.org/2017-10.mp3</link>
        <pubDate>Mon, 06 Mar 2017 00:00:00 +0000</pubDate>
        <description><![CDATA[
<p>Joanna and Russell talk about San Francisco home prices, Base R vs ggplot2, MongoDB, R Forwards taskforce and more.</p>
<ul>
<li>Read <a href="https://www.rweekly.org/2017-10.html?pk_campaign=itunes_podcast">R Weekly 2017 issue 10</a></li>
<li><a href="http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling">Music by Gillicuddy</a></li>
</ul>
<p></p>
<ul>   
<li><a href="https://twitter.com/rweekly_org">Twitter @rweekly_org</a></li>   <li><a href="https://www.facebook.com/rweekly">Follow Facebook</a></li>  
<li><a href="https://www.patreon.com/rweekly">Support with Patreon</a></li>

</ul>
]]>
</description>
        <guid isPermaLink="false">https://cloud.rweekly.org/2017-10.mp3</guid>
        <enclosure url="https://cloud.rweekly.org/2017-10.mp3" length="9569116" type="audio/mpeg"/>
        <itunes:author>R Weekly</itunes:author>
        <itunes:duration>6:30</itunes:duration>
        <itunes:summary>Joanna and Russell talk about San Francisco home prices, Base R vs ggplot2, MongoDB, R Forwards taskforce and more. Read R Weekly 2017 issue 10 on RWeekly.org.</itunes:summary>
        <itunes:keywords>r, data, big data, data mining, data analysis, rstats, R programming language, open source, software, development, statistics, data science, visualization, machine learning , MongoDB, ggplot2 </itunes:keywords>
        <itunes:subtitle>The future is here</itunes:subtitle>
        <itunes:image href="https://rweekly.org/public/rweekly_logo_3000x3000.png" />
        <itunes:explicit>no</itunes:explicit>
    </item>

  </channel>
</rss>
