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	<title>Rense Nieuwenhuis &#187; Nonparametric statistics</title>
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	<description>&#34;The extra-ordinary lies within the curve of normality&#34;</description>
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		<title>Exact p-values for pairwise comparison of Friedman rank sums</title>
		<link>http://www.rensenieuwenhuis.nl/exact-p-values-for-pairwise-comparison-of-friedman-rank-sums/</link>
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		<pubDate>Tue, 31 Jan 2017 11:00:05 +0000</pubDate>
		<dc:creator><![CDATA[Rense Nieuwenhuis]]></dc:creator>
				<category><![CDATA[R-Project]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[Classifier comparison]]></category>
		<category><![CDATA[Exact p-value]]></category>
		<category><![CDATA[Friedman test]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[Multiple comparison]]></category>
		<category><![CDATA[Nonparametric statistics]]></category>
		<category><![CDATA[R]]></category>
		<category><![CDATA[Rank sum difference]]></category>

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		<description><![CDATA[BMC Bioinformatics has published a paper by colleagues of mine, about calculating exact p-values for pairwise comparison of Friedman rank sums. The paper provides fast and easy-to-use R code, making it an interesting read for ...]]></description>
				<content:encoded><![CDATA[<p>BMC Bioinformatics has published a paper by colleagues of mine, about calculating exact p-values for pairwise comparison of Friedman rank sums. The paper provides fast and easy-to-use R code, making it an interesting read for anyone conducting the Friedman test. Fancy full text is available at <a href="http://rdcu.be/oOf9">http://rdcu.be/oOf9</a></p>
<p>Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers, Eisinga, Heskes, Pelzer &#038; Te Grotenhuis, <i>BMC Bioinformatics</i>, 2017, 18:68. <a href="http://dx.doi.org/10.1186/s12859-017-1486-2">http://dx.doi.org/10.1186/s12859-017-1486-2</a></p>
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