There's no documentation, but as far as I can tell from the code it knows some distributions and can do some plotting -- but won't analyse any actual data.<p>Am I wrong?<p>(If I'm not, I should perhaps put on Github a simple correlation/OLS regression JS library I wrote using Sylvester, <a href="http://sylvester.jcoglan.com/" rel="nofollow">http://sylvester.jcoglan.com/</a>).
I think these explorations are very worthwhile. People tend to underestimate how much work it takes to implement all the distribution functions.<p>Looking forward to seeing where this goes.<p>I'm hoping to see how the lib authors:<p>1.) deal with model workflow (for example, how do I go from model building to prediction?);
2.) explain what data structures they hope to introduce (if all the authors did was make a strong matrix library for server-side javascript, that would be enough to make everyone's day);
3.) outsource the computational grunt work to C (or Fortran, if they're really adventurous)
Very interesting. Not sure that the browser is the right place for dealing with <i>large</i> amounts of statistical data, but still it may have some uses.
I will be using this for my project
Here: <a href="http://statgadgets.student.iastate.edu/teaching/binomialci/" rel="nofollow">http://statgadgets.student.iastate.edu/teaching/binomialci/</a><p>And here:<a href="http://statgadgets.student.iastate.edu/teaching/LeastSquares.html" rel="nofollow">http://statgadgets.student.iastate.edu/teaching/LeastSquares...</a><p>Thank you