On Fri, Oct 24, 2008 at 9:39 AM, dsimcha <[EMAIL PROTECTED]> wrote: > == Quote from Bill Baxter ([EMAIL PROTECTED])'s article >> On Fri, Oct 24, 2008 at 7:43 AM, dsimcha <[EMAIL PROTECTED]> wrote: >> > Since there's really no good comprehensive statistics library for D (Tango >> > has >> > a little bit, the beginnings of a few are on dsource, but nothing much), >> > Ive >> > been rolling my own statistics functions as necessary. Almost by >> > accident, it >> > seems like I've built up the beginnings of a decent statistics library. >> > I'm >> > debating whether it might be interesting enough to people to be worth >> > releasing, and whether enough community help would be available to really >> > make >> > it production quality, or to merge it with other people's efforts in this >> > area. The following functionality is currently available: >> > >> > Correlation (Pearson, Spearman rho, Kendall tau). Note that the >> > Kendall >> > tau correlation is a very efficient O(N log N) version. >> > >> > Mean, standard deviation, variance, kurtosis, percent variance for arrays >> > of >> > numeric values. >> > >> > Shannon entropy, mutual information. >> > >> > Kolmogorov-Smirnov tests >> > >> > Binomial, hypergeometric, normal, Poisson, Kolmogorov CDFs, hypergeometric, >> > Poisson, binomial PDFs. >> > >> > Inverse normal distribution, and normally distributed random number >> > generation. >> > >> > A struct to generate all possible permutations of a sequence. >> I don't know what a lot of those things are, but statistics to me >> means you will probably have (or eventually want) things like >> covariance which are best represented as matrices. Does your package >> also have a matrix library? >> --bb > > No, it doesn't have a matrix library right now. I make no claim that it is > in any > way complete right now, but I do think it has some pretty useful stuff that's > not > likely to be anywhere else for D.
Ok, so it's mainly for 1d statistics then? --bb
