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><channel><title>R-statistics blog &#187; statistical learning</title> <atom:link href="http://www.r-statistics.com/tag/statistical-learning/feed/" rel="self" type="application/rss+xml" /><link>http://www.r-statistics.com</link> <description>Writing about statistics with R, and open source stuff (software, data, community)</description> <lastBuildDate>Wed, 08 Sep 2010 20:39:52 +0000</lastBuildDate> <language>en</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.0.1</generator> <item><title>Free statistics e-books for download</title><link>http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/</link> <comments>http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/#comments</comments> <pubDate>Sun, 25 Oct 2009 07:31:02 +0000</pubDate> <dc:creator>Tal Galili</dc:creator> <category><![CDATA[R]]></category> <category><![CDATA[statistics]]></category> <category><![CDATA[book]]></category> <category><![CDATA[ebook]]></category> <category><![CDATA[Jerome Friedman]]></category> <category><![CDATA[machine learning]]></category> <category><![CDATA[Robert Tibshirani]]></category> <category><![CDATA[statistical learning]]></category> <category><![CDATA[Trevor Hastie]]></category><guid
isPermaLink="false">http://www.r-statistics.com/?p=40</guid> <description><![CDATA[This post will eventually grow to hold a wide list of books on statistics (e-books, pdf books and so on) that are available for free download.  But for now we&#8217;ll start off with just one several books: The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and Jerome Friedman. you can legally download a copy of the book in pdf format from the authors website! Direct download (First discovered on the &#8220;one R tip a day&#8221; blog) R [...]]]></description> <content:encoded><![CDATA[<p>This post will eventually grow to hold a wide list of books on statistics (e-books, pdf books and so on) that are available for free download.  But for now we&#8217;ll start off with just <span
style="text-decoration: line-through;">one </span> several books:</p><ul><li><em><strong>The Elements of Statistical Learning</strong></em> written by Trevor Hastie, Robert Tibshirani and Jerome Friedman. you can legally download a copy of the book in pdf format from the <a
href="http://www-stat.stanford.edu/~tibs/ElemStatLearn/">authors website</a>! <a
href="http://www-stat.stanford.edu/~hastie/Papers/ESLII.pdf">Direct download</a> (First discovered on the &#8220;<a
href="http://onertipaday.blogspot.com/2009/10/elements-of-statistical-learning.html">one R tip a day</a>&#8221; blog)</li><li><strong><em>R related:</em></strong><ul><li><strong><em>Using R for Introductory Statistics</em></strong> by John Verzani Publisher: Chapman &amp; Hall/CRC 2004 ISBN/ASIN: 1584884509 ISBN-13: 9781584884507 Number of pages: 114 Description: The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R. <a
href="http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf"><strong>Download link</strong></a></li><li><strong><em>R Graphics</em></strong> (Three chapters only) by Paul Murrell ISBN:  9781584884866 ISBN 10:  158488486X Publication Date:  July 29, 2005 Number of Pages:  328 Description: Chapter 1: An Introduction to R Graphics Chapter 4: Trellis Graphics: The Lattice Package Chapter 5: The Grid Graphics Model <a
href="http://www.stat.auckland.ac.nz/~paul/RGraphics/RGraphicsChapters-1-4-5.pdf"><strong>Download link</strong></a> (see scripts and images <a
href="http://www.stat.auckland.ac.nz/~paul/RGraphics/rgraphics.html">here</a>)</li><li><strong><em>Using R</em></strong> <a
href="http://cran.r-project.org/doc/contrib/usingR.pdf"><strong>Download link</strong></a></li><li><strong><em>R intro</em></strong> <strong><a
href="http://cran.r-project.org/doc/manuals/R-intro.pdf">Download link</a></strong></li><li><em><strong>Psychometric Theory with Applications in R</strong></em> by William Revelle (a work in progress) <a
rel="nofollow" href="http://www.personality-project.org/r/book/"><strong>Download link</strong></a></li><li>A great long list of R related texts, for free download, can be <a
href="http://cran.r-project.org/other-docs.html#english">found here</a>.</li><li><strong><em>Using Graphs Instead of Tables</strong></em> <a
href="http://tables2graphs.com/doku.php"><strong>website link</strong></a> (This web page accompanies the article &#8220;Using Graphs Instead of Tables in Political Science&#8221;, by Jonathan Kastellec and Eduardo Leoni, which appears in the December 2007 issue of Perspectives on Politics. It contains complete replication code for all the graphs that appear in the text)</li></ul></li><p><a
href="http://www.stat.auckland.ac.nz/~paul/RGraphics/RGraphicsChapters-1-4-5.pdf"></a></ul><p>* * *</p><p><em>Know of any more e-books freely available for download? Please write to us about them in the comments.</em></p> ]]></content:encoded> <wfw:commentRss>http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/feed/</wfw:commentRss> <slash:comments>7</slash:comments> </item> </channel> </rss>
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