<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/yarrr-the-pirates-guide-to-r-2/"></div></div><div><a data-url="https://www.r-bloggers.com/yarrr-the-pirates-guide-to-r-2/" data-counturl="https://www.r-bloggers.com/yarrr-the-pirates-guide-to-r-2/" data-count="horizontal" data-text="YaRrr! The Pirate’s (video) Guide to R" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2016/09/pirates-guide-to-r.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>Today is <a target="_blank" href="http://talklikeapirate.com/">Talk Like A Pirate Day</a>, the perfect day to learn <a target="_blank" href="https://mran.microsoft.com/documents/what-is-r/">R</a>, the programming language of pirates (arrr, matey!). If you have two-and-a-bit hours to spare, Nathaniel Phillips has created a video tutorial <a target="_blank" href="http://nathanieldphillips.com/thepiratesguidetor/">YaRrr! The Pirate's Guide to R</a> which will take you through the basics: installation, basic R operations, and the matrix and data frame obects.</p>
<p><iframe height="281" allowfullscreen="" width="450" src="https://www.youtube.com/embed/Vkv7-nw3wwU?list=PL9tt3I41HFS9gmeZFEuNrnu_7V_NFngfJ"></iframe> </p>
<p>For a more in-depth study of R, there's also a 250-page e-book <a target="_blank" href="https://drive.google.com/file/d/0B4udF24Yxab0S1hnZlBBTmgzM3M/view?usp=sharing">YaRrr! The Pirate’s Guide to R</a> which goes into the basics in more depth, and covers more advanced topics including data visualization, statistical analysis, and writing your own functions.</p>
<p>There's also an accompanying package to the video and book <a target="_blank" href="https://github.com/ndphillips/yarrr">called (appropriately) yarr</a> that includes datasets from the course and also an interesting &quot;Pirate Plot&quot; data visualization that combines raw data, summary statistics, a &quot;bean plot&quot; distribution, and a confidence interval. </p>
<p><a target="_blank" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d21eaf2f970c-pi"><img title="Pirateplot" alt="Pirateplot" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d21eaf2f970c-800wi" border="0"></a></p>
<p>For more on The Pirate's Guide to R (and to tip him a beer), follow the link to Nathaniel's blog below.</p>
<p>Nathaniel Phillips: <a target="_blank" href="http://nathanieldphillips.com/thepiratesguidetor/">YaRrr! The Pirate’s Guide to R</a></p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2016/09/pirates-guide-to-r.html"> Revolutions</a></strong>.</div>
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