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		<title><![CDATA[Easy Guides]]></title>
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		<description><![CDATA[Last articles of the category: R software]]></description>
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			<title><![CDATA[R software]]></title>
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			<description><![CDATA[<a href="http://www.r-project.org/">R </a>is a language and environment for s<strong>tatistical computing</strong> and <strong>graphics</strong>. Several <strong>training courses </strong>in <strong>R language</strong> are available here.<br />
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<span class="success">You can also contribute by writing an article on R  <a href="https://www.sthda.com/english/english/wiki/post.php">here</a></span><br />
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<strong>R</strong> can be used to compute a large variety of classical <strong>statistic tests</strong> (<strong>Student t-test</strong>, <strong>wilcoxon</strong> test,  chisquare test, <strong>correlation / covariance analysis</strong>, etc), to perfom <strong>classification analysis</strong>(<strong>principal component analysis</strong>, <strong>clustering</strong>, etc) and to plot many types of <strong>graphs</strong> (<strong>boxplot, histogram, density curve, scatter plot, line plot, barplot</strong>, etc)<br />
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Classification analysis such as principal component analysis, clustering<br />
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Several <strong>courses in R</strong> are already posted here.]]></description>
			<pubDate>Thu, 06 Nov 2014 10:54:08 +0100</pubDate>
			
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