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Simple Statistics, a JS library for doing statistics
- DelvarWorld 13y agoIt's been my experience that you shouldn't put "simple" or synonyms in the title of a software library. If the project is any good it will grow, and eventually outgrow its simplicity.
- danmaz74 13y agoThis is interesting, but for the linear regressions I'd much rather get the a and b parameters than a function to interpolate/extrapolate y values.
- noelwelsh 13y agoThe documentation for the classifier says: "Create a bayesian classifier." I think it should say "Create a naive bayes classifier." A "bayesian" classifier is a class of classifiers, not a particular algorithm. Naive bayes isn't (in most implementations) Bayesian! Finally you should specify what smoothing, if any, you use. Hope that helps!
- bsenftner 13y agoThank you. Great time saver for us all coding up these! Thanks again!
- thelamest 13y agoIt's a very nice idea, if you have time, you could aim to incorporate other modern tools: robust statistics (trimmed means etc.), effect sizes, confidence intervals
- randall 13y agoRecommendation: have the demos use web workers if they're available, so you don't tie up the main thread when the numbers get really large.
- omnisci 13y agoThis may be really helpful :) Thanks a bunch! Keith
- dmeagor 13y agoThis looks great. For large datasets does it handle the long running request issues that cause browsers to display a warning? If anyone uses this for processing a decent size amount of data I'd be interested in your opinion.