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	<title>The R-Podcast</title>
	<atom:link href="http://www.r-podcast.org/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.r-podcast.org</link>
	<description>Giving practical advice on how to use R for powerful and innovative data analyses.</description>
	<lastBuildDate>Thu, 04 Apr 2013 09:14:15 +0000</lastBuildDate>
	<language>en-US</language>
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	<itunes:summary>Whether you are new to statistical computing, have experience with other statistical software, or already have experience with R, the R-Podcast will provide you with valuable information and advice that will help you to tap into the power of R and get your data analysis done.</itunes:summary>
	<itunes:author>Eric Nantz</itunes:author>
	<itunes:explicit>clean</itunes:explicit>
	<itunes:image href="http://i5.photobucket.com/albums/y186/sheed03/R%20Podcast%20site%20images/itunes_image_resized.png" />
	<itunes:owner>
		<itunes:name>Eric Nantz</itunes:name>
		<itunes:email>theRcast@gmail.com</itunes:email>
	</itunes:owner>
	<managingEditor>theRcast@gmail.com (Eric Nantz)</managingEditor>
	<copyright>Creative Commons Attribution-ShareAlike 3.0 Unported License</copyright>
	<itunes:subtitle>Giving practical advice on how to use R for powerful and innovative data analyses.</itunes:subtitle>
	<itunes:keywords>statistics, data, R, computing</itunes:keywords>
	<image>
		<title>The R-Podcast</title>
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	<itunes:category text="Science &amp; Medicine" />
		<item>
		<title>Test from knitr to wordpress</title>
		<link>http://www.r-podcast.org/test-from-knitr-to-wordpress/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=test-from-knitr-to-wordpress</link>
		<comments>http://www.r-podcast.org/test-from-knitr-to-wordpress/#comments</comments>
		<pubDate>Thu, 04 Apr 2013 09:14:15 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=11367</guid>
		<description><![CDATA[Title This is an R Markdown document. Markdown is a simple formatting syntax for authoring web pages (click the MD toolbar button for help on Markdown). When you click the Knit HTML button a web page will be generated that includes both content as well as the output of any embedded R code chunks within <a href='http://www.r-podcast.org/test-from-knitr-to-wordpress/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<h1>Title</h1>

<p>This is an R Markdown document. Markdown is a simple formatting syntax for authoring web pages (click the <strong>MD</strong> toolbar button for help on Markdown).</p>

<p>When you click the <strong>Knit HTML</strong> button a web page will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:</p>

<pre><code class="r">summary(cars)
</code></pre>

<pre><code>##      speed           dist    
##  Min.   : 4.0   Min.   :  2  
##  1st Qu.:12.0   1st Qu.: 26  
##  Median :15.0   Median : 36  
##  Mean   :15.4   Mean   : 43  
##  3rd Qu.:19.0   3rd Qu.: 56  
##  Max.   :25.0   Max.   :120
</code></pre>

<p>You can also embed plots, for example:</p>

<pre><code class="r">plot(cars)
</code></pre>

<p><img src="https://dl.dropbox.com/u/194973/wp/figure/unnamed-chunk-2.png" alt="plot of chunk unnamed-chunk-2"/> </p>
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		</item>
		<item>
		<title>The R-Podcast Episode 12: Using Version Control with R</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-12-using-version-control-with-r/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-12-using-version-control-with-r</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-12-using-version-control-with-r/#comments</comments>
		<pubDate>Mon, 01 Apr 2013 09:44:10 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Podcast]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=11352</guid>
		<description><![CDATA[This is not an April Fool&#8217;s joke &#8230; 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 <a href='http://www.r-podcast.org/the-r-podcast-episode-12-using-version-control-with-r/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>This is not an April Fool&#8217;s joke &#8230; 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!</p>

<h3>Episode 12 Show Notes</h3>

<h4>The basics for version control and Git</h4>

<ul>
<li>Why it&#8217;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: git init, git add file.R, git commit -m &#8220;my commit message&#8221;</li>
<li>Tell Git what files you don&#8217;t want to be tracked with .gitignore 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&#8217;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>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>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>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&#8217;s blog</a>)</li>
</ul>

<h4>How to interact with the show</h4>

<ul>
<li>Submit your questions and comments via the R-Podcast <a href="http://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>Music Credits</h4>

<ul>
<li>The opening theme is entitled &#8220;Super Fighting Robot X&#8221; 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 &#8220;Countdown to Infinity&#8221; 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>
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		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_012/rpodcast012.mp3" length="85750493" type="audio/mpeg" />
		<itunes:subtitle>This is not an April Fool&#039;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.</itunes:subtitle>
		<itunes:summary>This is not an April Fool&#039;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!

Episode 12 Show Notes

The basics for version control and Git


Why it&#039;s important: Backups and reproducibility
Git is available for all major platforms, see GitHub page for installation instructions for all operating systems
IDEs RStudio and Eclipse via Egit plugin offer integration of Git for easy usage
Key commands: git init, git add file.R, git commit -m &quot;my commit message&quot;
Tell Git what files you don&#039;t want to be tracked with .gitignore file(s)
GitHub and BitBucket are two excellent remote repository host sites
Wikipedia article on revision control
Pro Git book, with electronic copy available for free!
How do you combine revision control with workflow in R
R and version control for the solo data analyst
Jeremy Anglim&#039;s tutorial on Using Git, Egit, Eclipse, and GitHub for version control
Win-Vector blog on minimal version control lesson
Top 10 Git Tutorials for Beginners
Aha moments when learning Git


Listener Feedback


Daniel provides link to Open Education Database: www.oedb.org/open
StatisticsBlog: www.statisticsblog.com
Aron: Big data and parallel processing
Eric: Questions about data structures
Adam: Text mining and workflow
Randall offers first donation for the R-Podcast (thanks, Randall!)


R Community Roundup


Visualization of season performance of NCAA tournament teams by Rodrigo Zamith 
Plotting lm and glm models with ggplot via strengejacke.wordpress.com


Package pick


reports: An R package to assist in the workflow of writing academic articles and other reports (via TRinker&#039;s blog)


How to interact with the show


Submit your questions and comments via the R-Podcast contact page, or send an email to theRcast(at)gmail.com
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
Get show updates via our Twitter account: @theRcast
Follow us on our R-Podcast Google Plus page: gplus.to/thercast
Provide your favorite R community links at the R-Podcast subreddit: links.r-podcast.org/


Music Credits


The opening theme is entitled &quot;Super Fighting Robot X&quot; by WillRock from the Megaman X: Maverick Rising Album at ocremix.org
The closing theme is entitled &quot;Countdown to Infinity&quot; by WillRock from the Megaman X: Maverick Rising Album at ocremix.org</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>1:29:19</itunes:duration>
	</item>
		<item>
		<title>The R-Podcast Episode 11: Reproducible Analysis Part 1 (Introduction)</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-11-reproducible-analysis-part-1-introduction/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-11-reproducible-analysis-part-1-introduction</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-11-reproducible-analysis-part-1-introduction/#comments</comments>
		<pubDate>Tue, 13 Nov 2012 14:19:56 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Podcast]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=11336</guid>
		<description><![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 capabilities of the knitr package (more episodes will be coming dedicated to this package), and my <a href='http://www.r-podcast.org/the-r-podcast-episode-11-reproducible-analysis-part-1-introduction/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>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!</p>

<p>The following resources are mentioned in this episode:</p>

<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&#8217;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 &#8220;Super Fighting Robot X&#8221; 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 www.ocremix.org</li>
<li>The closing theme is entitled &#8220;Countdown to Infinity&#8221; 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 www.ocremix.org</li>
</ul>

<p><u>Episode 11 Time Stamps</u></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>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-episode-11-reproducible-analysis-part-1-introduction/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_011/rpodcast011.mp3" length="74267482" type="audio/mpeg" />
		<itunes:subtitle>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,</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!

The following resources are mentioned in this episode:


R-Podcast subreddit: links.r-podcast.org
Sweave: http://www.stat.uni-muenchen.de/~leisch/Sweave/
Knitr: http://yihui.name/knitr/
The Duke Research Trial Saga: http://simplystatistics.org/post/18378666076/the-duke-saga-starter-set
RStudio Shiny web application: http://www.rstudio.com/shiny/
Listener Brock&#039;s NHL analysis blog: http://www.brocktibert.com/blog/?s=NHL
Guide to installing latest version of R on Ubuntu: http://darrenjw.wordpress.com/2012/11/10/keeping-r-up-to-date-on-ubuntu-linux/
R 2.15.2 release notes: http://blog.revolutionanalytics.com/2012/10/r-2152-now-available.html
Guide to new theme system in ggplot 0.9.2.1: https://github.com/wch/ggplot2/wiki/New-theme-system
Plyr package: http://plyr.had.co.nz/
The opening theme is entitled &quot;Super Fighting Robot X&quot; by WillRock from the Megaman X: Maverick Rising Album at www.ocremix.org
The closing theme is entitled &quot;Countdown to Infinity&quot; by WillRock from the Megaman X: Maverick Rising Album at www.ocremix.org


Episode 11 Time Stamps

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</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>1:17:22</itunes:duration>
	</item>
		<item>
		<title>The R-Podcast Episode 10: Adventures in Data Munging Part 2</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-10-adventures-in-data-munging-part-2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-10-adventures-in-data-munging-part-2</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-10-adventures-in-data-munging-part-2/#comments</comments>
		<pubDate>Sun, 16 Sep 2012 20:13:09 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=453</guid>
		<description><![CDATA[I&#8217;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 for <a href='http://www.r-podcast.org/the-r-podcast-episode-10-adventures-in-data-munging-part-2/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>I&#8217;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 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&#8217;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!</p>

<p>The following resources are mentioned in this episode:</p>

<ul>
    <li>New additions to the RStudio team: <a href="blog.rstudio.org/2012/08/20/welcome-hadley-winston-and-garrett/" target="_blank">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" target="_blank">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" target="_blank">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" target="_blank">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/" target="_blank">http://cran.r-project.org/web/packages/RCurl/</a></li>
    <li>Hockey-Reference data: <a href="http://www.hockey-reference.com" target="_blank">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" target="_blank">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" target="_blank">http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html</a></li>
    <li>Jeroen Ooms&#8217; lme4 web application: <a href="http://www.stat.ucla.edu/~jeroen/lme4.html" target="_blank">http://www.stat.ucla.edu/~jeroen/lme4.html</a></li>
    <li>Coursera Course on R: <a href="https://www.coursera.org/course/compdata" target="_blank">https://www.coursera.org/course/compdata</a></li>
    <li>RPubs: <a href="http://rpubs.com/" target="_blank">http://rpubs.com/</a></li>
   <li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/" target="_blank">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
   <li>The closing theme is entitled &#8220;The Way&#8221; and provided by Jewbei from the <a href="http://armed.ocremix.org/" target="_blank">Wild Arms: ARMed and Dangerous</a> album at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
</ul>

<p><span style="text-decoration: underline;">Episode 10 Time Stamps</span></p>

<pre>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</pre>
]]></content:encoded>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-episode-10-adventures-in-data-munging-part-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_010/rpodcast010.mp3" length="66466274" type="audio/mpeg" />
		<itunes:subtitle>I&#039;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.</itunes:subtitle>
		<itunes:summary>I&#039;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 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&#039;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!

The following resources are mentioned in this episode:


    New additions to the RStudio team: blog.rstudio.org/2012/08/20/welcome-hadley-winston-and-garrett/
    Over 4,000 packages on CRAN: http://blog.revolutionanalytics.com/2012/08/two-r-community-milestones.html
    NHL Analysis web-scraping scripts on GitHub: https://github.com/thercast/nhl_analysis/tree/master/web-scraping
    XML package: http://cran.r-project.org/web/packages/XML/index.html
    RCurl package: http://cran.r-project.org/web/packages/RCurl/
    Hockey-Reference data: http://www.hockey-reference.com
    Using R for Scraping Data Presentation at UseR! 2012: http://www.slideshare.net/rtelmore/user-2012-talk
    Using RMySQL tutorial: http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html
    Jeroen Ooms&#039; lme4 web application: http://www.stat.ucla.edu/~jeroen/lme4.html
    Coursera Course on R: https://www.coursera.org/course/compdata
    RPubs: http://rpubs.com/
   Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org
   The closing theme is entitled &quot;The Way&quot; and provided by Jewbei from the Wild Arms: ARMed and Dangerous album at ocremix.org


Episode 10 Time Stamps

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</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>1:09:14</itunes:duration>
	</item>
		<item>
		<title>The R-Podcast Episode 9: Adventures in Data Munging Part 1</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-9-adventures-in-data-munging-part-1/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-9-adventures-in-data-munging-part-1</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-9-adventures-in-data-munging-part-1/#comments</comments>
		<pubDate>Sun, 05 Aug 2012 13:48:44 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=365</guid>
		<description><![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 recoding messy values, important inconsistent data files, and pinpointing problematic observations and variables. We also <a href='http://www.r-podcast.org/the-r-podcast-episode-9-adventures-in-data-munging-part-1/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>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!</p>

<p>The following resources are mentioned in this episode:</p>

<ul>
    <li>Summary of UserR! 2012 conference: <a href="http://pairach.com/2012/06/24/user2012/" target="_blank">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" target="_blank">http://cran.r-project.org/src/base/NEWS</a></li>
    <li>NHL Analysis GitHub Repo: <a href="https://github.com/thercast/nhl_analysis" target="_blank">https://github.com/thercast/nhl_analysis</a></li>
    <li>plyr package: <a href="http://plyr.had.co.nz/" target="_blank">http://plyr.had.co.nz/</a></li>
    <li>car package: <a href="http://cran.r-project.org/web/packages/car/index.html" target="_blank">http://cran.r-project.org/web/packages/car/index.html</a></li>
    <li>ProjectTemplate: <a href="http://www.projecttemplate.net/" target="_blank">http://www.projecttemplate.net/</a></li>
    <li>Hockey Summary Project: <a href="http://hsp.flyershistory.com/" target="_blank">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" target="_blank">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>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</pre>
]]></content:encoded>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-episode-9-adventures-in-data-munging-part-1/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_009/rpodcast009.mp3" length="68520961" type="audio/mpeg" />
		<itunes:subtitle>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 mess...</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!

The following resources are mentioned in this episode:


    Summary of UserR! 2012 conference: http://pairach.com/2012/06/24/user2012/
    R 2.15.1 release notes: http://cran.r-project.org/src/base/NEWS
    NHL Analysis GitHub Repo: https://github.com/thercast/nhl_analysis
    plyr package: http://plyr.had.co.nz/
    car package: http://cran.r-project.org/web/packages/car/index.html
    ProjectTemplate: http://www.projecttemplate.net/
    Hockey Summary Project: http://hsp.flyershistory.com/
    Pitfalls of R blog post: http://pitfalls-r-us.blogspot.nl/2012/07/time-zones.html


Episode 9 Time Stamps

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</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>1:11:22</itunes:duration>
	</item>
		<item>
		<title>The R-Podcast Screencast 2: Visualization with ggplot2</title>
		<link>http://www.r-podcast.org/the-r-podcast-screencast-2-visualization-with-ggplot2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-screencast-2-visualization-with-ggplot2</link>
		<comments>http://www.r-podcast.org/the-r-podcast-screencast-2-visualization-with-ggplot2/#comments</comments>
		<pubDate>Sat, 23 Jun 2012 13:33:16 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Screencast]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=351</guid>
		<description><![CDATA[Here is the second screencast episode of the R-Podcast to accompany episode 8 of the R-Podcast: Visualization with ggplot2. In this screencast I demonstrate a real-time session of using ggplot2 to create boxplots for a visualization of hockey attendance in the NHL. The R code created in this screencast is available in our GitHub repository, <a href='http://www.r-podcast.org/the-r-podcast-screencast-2-visualization-with-ggplot2/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>Here is the second screencast episode of the R-Podcast to accompany <a href="http://www.r-podcast.org/the-r-podcast-episode-8-visualization-with-ggplot2/" title="episode 8" target="_blank">episode 8</a> of the R-Podcast: Visualization with ggplot2.  In this screencast I demonstrate a real-time session of using ggplot2 to create boxplots for a visualization of hockey attendance in the NHL. The R code created in this screencast is available in our GitHub repository, and also each of the online resources are linked below. I added some new tweaks to the recording of this screencast based on feedback from the <a href="http://www.r-podcast.org/the-r-podcast-screencast-1-basic-interaction-with-r/" title="The R-Podcast Screencast 1: Basic Interaction with R" target="_blank">first screencast</a> episode.  Please let me know what you think of this improved screencast!  As always you can send your feedback via email or audio comment to theRcast(at)gmail.com, leave a voicemail on our voicemail hotline at +1-269-849-9780, or join our <a href="http://www.r-podcast.org/forums/" title="Forums" target="_blank">new forums</a> and leave a comment for this episode!</p>
<p><iframe src="http://player.vimeo.com/video/44555187" width="600" height="400" frameborder="0" webkitAllowFullScreen mozallowfullscreen allowFullScreen></iframe></p>
<p>The following resources are mentioned in this episode:</p>
<ul>
<li>Hockey Summary Project: <a href="http://hsp.flyershistory.com/" target="_blank">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" target="_blank">https://github.com/thercast/nhl_analysis/blob/master/src/plot_demo_code.R</a></li>
<li>Cookbook for R by Winston Chang: <a href="http://wiki.stdout.org/rcookbook" target="_blank">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" target="_blank">http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf</a></li>
<li>ggplot2 online reference: <a href="http://had.co.nz/ggplot2/" target="_blank">http://had.co.nz/ggplot2/</a></li>
<li>ggplot2 GitHub wiki: <a href="https://github.com/hadley/ggplot2/wiki/" target="_blank">https://github.com/hadley/ggplot2/wiki/</a></li>
<li>ggplot2 blog: <a href="http://blog.ggplot2.org/" target="_blank">http://blog.ggplot2.org/</a></li>
<li>ggplot2 mailing list: <a href="https://groups.google.com/forum/?fromgroups#!forum/ggplot2" target="_blank">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/" target="_blank">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/" target="_blank">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" target="_blank">http://codealamode.blogspot.com/search/label/ggplot2</a></li>
<li>ggplot2 textbook by Hadley Wickham: <a href="http://tinyurl.com/ggplot2-book" target="_blank">http://tinyurl.com/ggplot2-book</a></li>
<li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/" target="_blank">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
</ul>
]]></content:encoded>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-screencast-2-visualization-with-ggplot2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The R-Podcast Episode 8: Visualization with ggplot2</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-8-visualization-with-ggplot2/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-8-visualization-with-ggplot2</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-8-visualization-with-ggplot2/#comments</comments>
		<pubDate>Wed, 20 Jun 2012 13:02:01 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Podcast]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=338</guid>
		<description><![CDATA[I&#8217;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 <a href='http://www.r-podcast.org/the-r-podcast-episode-8-visualization-with-ggplot2/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>I&#8217;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 +1-269-849-9780 or record an audio clip and send it to theRcast(at)gmail.com.  Please keep the wonderful feedback coming and hope you enjoy this episode!</p>
<p>The following resources are mentioned in this episode:</p>
<ul>
<li>The Going Linux Podcast: <a href="http://www.goinglinux.com" target="_blank">http://www.goinglinux.com</a></li>
<li>Hockey Summary Project: <a href="http://hsp.flyershistory.com/" target="_blank">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" target="_blank">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" target="_blank">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" target="_blank">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" target="_blank">http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf</a></li>
<li>ggplot2 online reference: <a href="http://had.co.nz/ggplot2/" target="_blank">http://had.co.nz/ggplot2/</a></li>
<li>ggplot2 GitHub wiki: <a href="https://github.com/hadley/ggplot2/wiki/" target="_blank">https://github.com/hadley/ggplot2/wiki/</a></li>
<li>ggplot2 blog: <a href="http://blog.ggplot2.org/" target="_blank">http://blog.ggplot2.org/</a></li>
<li>ggplot2 mailing list: <a href="https://groups.google.com/forum/?fromgroups#!forum/ggplot2" target="_blank">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/" target="_blank">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/" target="_blank">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" target="_blank">http://codealamode.blogspot.com/search/label/ggplot2</a></li>
<li>ggplot2 textbook by Hadley Wickham: <a href="http://tinyurl.com/ggplot2-book" target="_blank">http://tinyurl.com/ggplot2-book</a></li>
<li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/" target="_blank">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
<li>The closing theme is entitled &#8220;The Way&#8221; and provided by Jewbei from the <a href="http://armed.ocremix.org/" target="_blank">Wild Arms: ARMed and Dangerous</a> album at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
</ul>
<p><span style="text-decoration: underline;">Episode 8 Time Stamps</span></p>
<pre>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</pre>
]]></content:encoded>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-episode-8-visualization-with-ggplot2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_008/rpodcast008.mp3" length="85917258" type="audio/mpeg" />
		<itunes:subtitle>I&#039;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 demonstr...</itunes:subtitle>
		<itunes:summary>I&#039;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 +1-269-849-9780 or record an audio clip and send it to theRcast(at)gmail.com.  Please keep the wonderful feedback coming and hope you enjoy this episode!

The following resources are mentioned in this episode:

   The Going Linux Podcast: http://www.goinglinux.com
   Hockey Summary Project: http://hsp.flyershistory.com/
   Plot Code on GitHub: https://github.com/thercast/nhl_analysis/blob/master/src/plot_demo_code.R
   The R Inferno: http://www.burns-stat.com/pages/Tutor/R_inferno.pdf
   Cookbook for R by Winston Chang: http://wiki.stdout.org/rcookbook
   ggplot2 0.90 Transition Guide: http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf
   ggplot2 online reference: http://had.co.nz/ggplot2/
   ggplot2 GitHub wiki: https://github.com/hadley/ggplot2/wiki/
   ggplot2 blog: http://blog.ggplot2.org/
   ggplot2 mailing list: https://groups.google.com/forum/?fromgroups#!forum/ggplot2
   Kaplan-Meier Survival Plot with ggplot2: http://mcfromnz.wordpress.com/2011/11/06/kaplan-meier-survival-plot-with-at-risk-table/
   Learning R Series: http://learnr.wordpress.com/2009/06/28/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-1/
   Code A La Mode ggplot2 articles: http://codealamode.blogspot.com/search/label/ggplot2
   ggplot2 textbook by Hadley Wickham: http://tinyurl.com/ggplot2-book
   Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org
   The closing theme is entitled &quot;The Way&quot; and provided by Jewbei from the Wild Arms: ARMed and Dangerous album at ocremix.org

Episode 8 Time Stamps
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</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>1:29:30</itunes:duration>
	</item>
		<item>
		<title>The R-Podcast Episode 7: Best Practices for Workflow Management</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-7-best-practices-for-workflow-management/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-7-best-practices-for-workflow-management</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-7-best-practices-for-workflow-management/#comments</comments>
		<pubDate>Tue, 29 May 2012 00:54:31 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Podcast]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=295</guid>
		<description><![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 saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task <a href='http://www.r-podcast.org/the-r-podcast-episode-7-best-practices-for-workflow-management/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>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 +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>
<p>P.S. From our <a href="https://plus.google.com/u/0/b/111193531932434833188/" title="Google Plus Page">Google Plus page</a>, Darren pointed out that I switched forward slashes with backward slashes in my discussion about file paths in Episode 6. Thanks Darren!</p>
<p>The following resources are mentioned in this episode:</p>
<ul>
<li>The new R-Podcast forums: <a href="http://www.r-podcast.org/forums/" target="_blank">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/" target="_blank">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" target="_blank">http://wiki.stdout.org/rcookbook</a></li>
<li>Stack Overflow post on workflow: <a href="http://stackoverflow.com/a/1434424/315664" target="_blank">http://stackoverflow.com/a/1434424/315664</a></li>
<li>ProjectTemplate package: <a href="http://www.projecttemplate.net/index.html" target="_blank">http://www.projecttemplate.net/index.html</a></li>
<li>RStudio Project feature: <a href="http://rstudio.org/docs/using/projects" target="_blank">http://rstudio.org/docs/using/projects</a></li>
<li>Version control in RStudio: <a href="http://rstudio.org/docs/version_control/overview" target="_blank">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" target="_blank">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/" target="_blank">http://help.github.com/</a></li>
<li>Theme music provided by WillRock from the <a href="http://ocremix.org/events/returnallrobots/" target="_blank">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
<li>The closing theme is entitled &#8220;The Way&#8221; and provided by Jewbei from the <a href="http://armed.ocremix.org/" target="_blank">Wild Arms: ARMed and Dangerous</a> album at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
</ul>
<p><span style="text-decoration: underline;">Episode 7 Time Stamps</span></p>
<pre>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</pre>
]]></content:encoded>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-episode-7-best-practices-for-workflow-management/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_007/rpodcast007.mp3" length="50632726" type="audio/mpeg" />
		<itunes:subtitle>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...</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 +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, Darren pointed out that I switched forward slashes with backward slashes in my discussion about file paths in Episode 6. Thanks Darren!

The following resources are mentioned in this episode:

   The new R-Podcast forums: http://www.r-podcast.org/forums/
   RStudio v0.96 release notes: http://blog.rstudio.org/2012/05/14/rstudio-v096/
   Cookbook for R by Winston Chang: http://wiki.stdout.org/rcookbook
   Stack Overflow post on workflow: http://stackoverflow.com/a/1434424/315664
   ProjectTemplate package: http://www.projecttemplate.net/index.html
   RStudio Project feature: http://rstudio.org/docs/using/projects
   Version control in RStudio: http://rstudio.org/docs/version_control/overview
   Stack Overflow discussion on version control: http://stackoverflow.com/questions/2712421/r-and-version-control-for-the-solo-data-analyst
   Setting up Git: http://help.github.com/
   Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org
   The closing theme is entitled &quot;The Way&quot; and provided by Jewbei from the Wild Arms: ARMed and Dangerous album at ocremix.org

Episode 7 Time Stamps
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</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>52:44</itunes:duration>
	</item>
		<item>
		<title>The R-Podcast Episode 6: Importing Data from External Sources</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-6-importing-data-from-external-sources/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-6-importing-data-from-external-sources</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-6-importing-data-from-external-sources/#comments</comments>
		<pubDate>Mon, 30 Apr 2012 00:58:39 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Podcast]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=168</guid>
		<description><![CDATA[In this episode: Listener feedback and importing data from external sources into R. We dive into the basics of importing delimited text files 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. <a href='http://www.r-podcast.org/the-r-podcast-episode-6-importing-data-from-external-sources/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>In this episode: Listener feedback and importing data from external sources into R.  We dive into the basics of importing delimited text files 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 listner tip about R in audio format, please call the voicemail hotline at +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!</p>
<p>The following resources are mentioned in this episode:</p>
<ul>
<li>R Data Import/Export Manual: <a href="http://cran.r-project.org/doc/manuals/R-data.html" target="_blank">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" target="_blank">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/ " target="_blank">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/" target="_blank">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" target="_blank">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" target="_blank">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" target="_blank">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" target="_blank">http://cran.r-project.org/web/packages/sas7bdat/index.html</a></li>
<li>sas7bdat on GitHub: <a href="https://github.com/biostatmatt/sas7bdat" target="_blank">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" target="_blank">http://espn.go.com/nhl/statistics/team/_/stat/scoring/year/2012/seasontype/3</a></li>
<li>MythTV: <a href="http://www.mythtv.org/" target="_blank">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" target="_blank">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/" target="_blank">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" target="_blank">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/" target="_blank">Mega Man 9: Back in Blue</a> album at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
</ul>
<p><span style="text-decoration: underline;">Episode 6 Time Stamps</span></p>
<pre>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</pre>
]]></content:encoded>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-episode-6-importing-data-from-external-sources/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_006/rpodcast006.mp3" length="51889529" type="audio/mpeg" />
		<itunes:subtitle>In this episode: Listener feedback and importing data from external sources into R.  We dive into the basics of importing delimited text files using read.table and its varients.  We also discuss recommendations for importing MS Excel spreadsheet files,</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 text files 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 listner tip about R in audio format, please call the voicemail hotline at +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!

The following resources are mentioned in this episode:

   R Data Import/Export Manual: http://cran.r-project.org/doc/manuals/R-data.html
   XLConnect Package: http://cran.r-project.org/web/packages/XLConnect/index.html
   XLConnect Website: http://miraisolutions.wordpress.com/2012/02/16/xlconnect-0-1-8/ 
   RMySQL Package: http://cran.r-project.org/web/packages/RMySQL/
   Accessing MySQL through R: http://playingwithr.blogspot.com/2011/05/accessing-mysql-through-r.html
   XML Package: http://cran.r-project.org/web/packages/XML/index.html
   foreign Package: http://cran.r-project.org/web/packages/foreign/index.html
   sas7bdat Package: http://cran.r-project.org/web/packages/sas7bdat/index.html
   sas7bdat on GitHub: https://github.com/biostatmatt/sas7bdat
   ESPN NHL playoff statistics table: http://espn.go.com/nhl/statistics/team/_/stat/scoring/year/2012/seasontype/3
   MythTV: http://www.mythtv.org/
   R script used in this episode: https://github.com/thercast/importing-data/blob/master/importing-data-basics.R
   Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org
   The Closing theme is entitled Crysis Crystal and provided by K-wix from the Mega Man 9: Back in Blue album at ocremix.org

Episode 6 Time Stamps
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</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>54:03</itunes:duration>
	</item>
		<item>
		<title>The R-Podcast Episode 5: Basic Package Management</title>
		<link>http://www.r-podcast.org/the-r-podcast-episode-5-basic-package-management/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-r-podcast-episode-5-basic-package-management</link>
		<comments>http://www.r-podcast.org/the-r-podcast-episode-5-basic-package-management/#comments</comments>
		<pubDate>Sun, 15 Apr 2012 16:41:26 +0000</pubDate>
		<dc:creator>Eric</dc:creator>
				<category><![CDATA[Podcast]]></category>

		<guid isPermaLink="false">http://www.r-podcast.org/?p=159</guid>
		<description><![CDATA[After a brief delay here&#8217;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 <a href='http://www.r-podcast.org/the-r-podcast-episode-5-basic-package-management/' class='excerpt-more'>[...]</a>]]></description>
			<content:encoded><![CDATA[<p>After a brief delay here&#8217;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 +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!</p>
<p>The following resources are mentioned in this episode:</p>
<ul>
<li>R version 2.15.0 release notes: <a href="http://cran.r-project.org/src/base/NEWS.html" target="_blank">http://cran.r-project.org/src/base/NEWS.html</a></li>
<li>&#8220;R Fell on Alabama Last Night&#8221; presentation by Kent: <a href="https://www.youtube.com/watch?v=W8d54ThS37Q" target="_blank">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" target="_blank">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" target="_blank">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/" target="_blank">http://cran.r-project.org/web/views/</a></li>
<li>R-Forge: <a href="https://r-forge.r-project.org" target="_blank">https://r-forge.r-project.org</a></li>
<li>RSeek: <a href="http://www.rseek.org" target="_blank">http://www.rseek.org</a></li>
<li>Crantastic: <a href="http://www.crantastic.org" target="_blank">http://www.crantastic.org</a></li>
<li>unknownR R package list: <a href="http://unknownr.r-forge.r-project.org/toppkgs.html" target="_blank">http://unknownr.r-forge.r-project.org/toppkgs.html</a></li>
<li>Rtools: <a href="http://cran.r-project.org/bin/windows/Rtools" target="_blank">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" target="_blank">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/" target="_blank">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" target="_blank">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/" target="_blank">Return All Robots Remix Album</a> at <a href="http://ocremix.org/" target="_blank">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/" target="_blank">Mega Man 9: Back in Blue</a> album at <a href="http://ocremix.org/" target="_blank">ocremix.org</a></li>
</ul>
<p><span style="text-decoration: underline;">Episode 5 Time Stamps</span></p>
<pre>00:00 The R-Podcast #005 Basic Package Management
00:32 Introduction
01:06 R 2.15.0 "Easter Beagle" 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</pre>
]]></content:encoded>
			<wfw:commentRss>http://www.r-podcast.org/the-r-podcast-episode-5-basic-package-management/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
<enclosure url="http://archive.org/download/trp_audio_005/rpodcast005.mp3" length="58774153" type="audio/mpeg" />
		<itunes:subtitle>After a brief delay here&#039;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,</itunes:subtitle>
		<itunes:summary>After a brief delay here&#039;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 +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!

The following resources are mentioned in this episode:

   R version 2.15.0 release notes: http://cran.r-project.org/src/base/NEWS.html
   &quot;R Fell on Alabama Last Night&quot; presentation by Kent: https://www.youtube.com/watch?v=W8d54ThS37Q
   R script used in this episode: https://github.com/thercast/package_admin/blob/master/basic-package-management.R
   R packages included by default: http://cran.r-project.org/doc/manuals/R-FAQ.html#Which-add_002don-packages-exist-for-R_003f
   CRAN Task Views: http://cran.r-project.org/web/views/
   R-Forge: https://r-forge.r-project.org
   RSeek: http://www.rseek.org
   Crantastic: http://www.crantastic.org
   unknownR R package list: http://unknownr.r-forge.r-project.org/toppkgs.html
   Rtools: http://cran.r-project.org/bin/windows/Rtools
   R Administration Manual-Updating packages: http://cran.r-project.org/doc/manuals/R-admin.html#Updating-packages
   Upgrading R on Windows and updating packages: http://www.r-statistics.com/2010/04/changing-your-r-upgrading-strategy-and-the-r-code-to-do-it-on-windows/
   UCLA R FAQ on managing packages: http://www.ats.ucla.edu/stat/r/faq/packages.htm
   Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org
   The Closing theme is entitled Crysis Crystal and provided by K-wix from the Mega Man 9: Back in Blue album at ocremix.org


Episode 5 Time Stamps
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</itunes:summary>
		<itunes:author>Eric Nantz</itunes:author>
		<itunes:explicit>clean</itunes:explicit>
		<itunes:duration>1:01:13</itunes:duration>
	</item>
	</channel>
</rss>

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