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copied!<p>Via Google I found the following code right after your question: <a href="https://gist.github.com/avibryant/1151823" rel="nofollow noreferrer">https://gist.github.com/avibryant/1151823</a></p> <p>However, science.js seems like a more feature-rich implementation of all your smoothing needs: <a href="https://github.com/jasondavies/science.js" rel="nofollow noreferrer">https://github.com/jasondavies/science.js</a></p> <p>EDIT: </p> <p>I've started to look more broadly at statistics packages for JS, and the following blog post actually wraps it up pretty nicely: <a href="http://jgoodall.me/posts/2012/02/01/javascript-statistical-libraries/" rel="nofollow noreferrer">http://jgoodall.me/posts/2012/02/01/javascript-statistical-libraries/</a> </p> <p>Obviously it's all a far cry from R (<a href="http://r-project.org" rel="nofollow noreferrer">http://r-project.org</a>), which web-wise has progressed from RApache (<a href="http://rapache.net/" rel="nofollow noreferrer">http://rapache.net/</a>) to shiny (<a href="http://www.rstudio.com/shiny/" rel="nofollow noreferrer">http://www.rstudio.com/shiny/</a>). The latter uses node.js server-side, so this is quite promising. Of course both approaches will require you to code stats in R server-side, instead of using JS either on client or server.</p> <p>EDIT2: Only now saw the original query answered via "comment" instead of "answer". Sorry!</p> <p>EDIT3: Related SO post with interesting pointers: <a href="https://stackoverflow.com/questions/5656897/is-there-any-statistical-library-for-javascript">Is there any statistical library for javascript?</a></p> <p>Marc</p>

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