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  <div class="vevent h-event"> <h1 class="summary p-name">Introduction to R, Statistical Computing - Portland Data Viz</h1> <div class='date'><time class="dtstart dt-start" title="2009-03-28T11:00:00" datetime="2009-03-28T11:00:00">Saturday, March 28, 2009 from 11am</time>–<time class="dtend dt-end" title="2009-03-28T15:00:00" datetime="2009-03-28T15:00:00">3pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202389907'><span class='fn org p-name'>CubeSpace [ *sniff* out of business 12 June 2009]</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">622 SE Grand Ave.</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">Oregon</span> <span class="postal-code p-postal-code">97214</span> <div class="country-name p-country-name">USA</div> (<a href='https://maps.google.com/maps?q=622%20SE%20Grand%20Ave.,%20Portland%20Oregon%2097214%20USA'>map</a>) </div> </div> <div class="description p-description"> <p>R, also called GNU S, is a strongly functional language and environment to statistically explore data sets and make many graphical displays of data.</p> <p>R is widely used for statistical software development and data analysis. R is part of the GNU project, and its source code is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems. R uses a command line interface, though several graphical user interfaces are available.</p> <p>Ed Borasky will provide an introduction to R this Saturday at Cubespace from 11Am-3Pm. Please come prepared with a laptop and the requisite software (link to come soon). If you have any issues installing the software, or need help before the meeting, feel free to arrive at 10:30 Am.</p> <p><strong>Software Downloads</strong> Updated to get ready for the upcoming class. There will be a few more pages coming. The first will be on installing GGobi, and the second will be on CRAN Task Views.</p> <p>Click on <a href="http://groups.google.com/group/pdx-visualization/web/getting-started-with-the-r-programming-language">http://groups.google.com/group/pdx-visualization/web/getting-started-with-the-r-programming-language</a> - or copy & paste it into your browser's address bar if that doesn't work.</p> <p>Here's an abbreviated "Getting Started With GGobi" guide. Please try this stuff out and let me know where it's broken. I just ran through the Windows part and the "Testing on a Social Network Dataset" part and that much of it works. :)</p> <p>Click on <a href="http://groups.google.com/group/pdx-visualization/web/getting-started-with-ggobi">http://groups.google.com/group/pdx-visualization/web/getting-started-with-ggobi</a> - or copy & paste it into your browser's address bar if that doesn't work.</p> <p>I added a couple of links to articles on using GGobi with social network data.</p> <p>Click on <a href="http://groups.google.com/group/pdx-visualization/web/getting-started-with-ggobi">http://groups.google.com/group/pdx-visualization/web/getting-started-with-ggobi</a> - or copy & paste it into your browser's address bar if that doesn't work.</p> <p><strong>About R</strong></p> <p>R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is now developed by the R Development Core Team. It is named partly after the first names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly as a play on the name of S. The R language has become a de facto standard among statisticians for the development of statistical software.</p> <p>More information: <a href="http://www.r-project.org/">http://www.r-project.org/</a></p> <p>Join the Portland Data Visualization Google Group for more updates: <a href="http://groups.google.com/group/pdx-visualization?hl=en">http://groups.google.com/group/pdx-visualization?hl=en</a>.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://groups.google.com/group/pdx-visualization?hl=en">Website</a></li> </ul> </div>