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copied!<p><a href="http://www.openepi.com" rel="nofollow">OpenEpi</a> is a Javascript stats library, is open source, and has ANOVA and t-tests. I've not tried it (it's a bit too focused on epidemiology for my needs) but it might be useful.</p> <hr> <p><a href="http://www.jstat.org" rel="nofollow"><strong>jStat</strong></a> is a javascript statistical library project, and it looks like it's got a great future, but it might not have all you need right now. <strong>Edit:</strong> as of Dec 2012 it looks like the jStat project <em>page</em> is no longer maintained but the <em>project</em> is continuing to be developed. There's <a href="http://jstat.github.com/all.html" rel="nofollow">more up to date documentation on github</a>. It now does have <a href="http://jstat.github.com/all.html#anovaftest" rel="nofollow">anova tests</a> and <a href="http://jstat.github.com/all.html#t_Statistics" rel="nofollow">varieties</a> of <a href="http://jstat.github.com/all.html#ttest" rel="nofollow">t-test</a>. No sign of Wilcoxon signed-rank though.</p> <hr> <p>If you need very specific statistical processing in javascript urgently, you might have most success by browsing <a href="http://www.omegahat.org/" rel="nofollow">Omegahat</a> who have various little tools that bridge the established stats language <strong>R</strong> with others including javascript. </p> <p>It'll depend on the details of exactly what you want to do, but you <em>might</em> have some success with packages such as <a href="http://www.omegahat.org/RJavaScript/" rel="nofollow">RJavascript</a> - a code translator which aims to help turn existing R features into Javascript (just don't expect quality results first time). Also, <a href="http://www.omegahat.org/SpiderMonkey/" rel="nofollow">SpiderMonkey</a> builds on R for browsers, so it might be useful for internal or personal uses (but it's unlikely to be suitable for public publishing).</p>

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