My mistake. I gave the right URL but referred to it as SO instead of CV. Gotta get my nomenclature right!
Bert > On Feb 10, 2014, at 3:32 PM, David Winsemius <dwinsem...@comcast.net> wrote: > > >> On Feb 10, 2014, at 6:34 AM, Bert Gunter wrote: >> >> I believe this is more a question for SO (stats.stackexchange.com). > > Actually it might get closed on SO since it is not an R programming question > per se but rather an advice for statistical approach. It's a better fit for > CrossValidated.com > > >> There are many possible goodness of fit statistics that can easily be >> calculated in R, but I think the fundamental question is: To what end? >> First, there are probably several parametric distributions that give >> (essentially) equally good fits; and second, you may want none of >> them, preferring some sort of nonparametric fit. Again, the sort of >> thing that is probably better at SO -- or even better, with a local >> statistician. > > >> Cheers, >> Bert >> >> Bert Gunter >> Genentech Nonclinical Biostatistics >> (650) 467-7374 >> >> "Data is not information. Information is not knowledge. And knowledge >> is certainly not wisdom." >> H. Gilbert Welch >> >> >> >> >>> On Mon, Feb 10, 2014 at 12:25 AM, Alaios <ala...@yahoo.com> wrote: >>> Hi all, >>> I have a large number of measurements from which I select a large number of >>> unique vectors. For each vectors I would like to test which distribution >>> might be a candidate for fitting. >>> It is impossible to look on each vector separately but I can inside a for >>> loop test different models and based on their goodness of fit to make >>> offline decisions (I will be saving goodness of fits results on a text >>> file). >>> >>> Do you know given a vector how I can get the goodness of fit for the >>> "basic" distributions : "norm", "lnorm", "pois", "exp", "gamma", "nbinom", >>> "geom", "beta", "unif" and "logis" >>> >>> Is it possible to try many of those (or at least some of the above) and try >>> to get these results? >>> >>> Regards >>> Alex >>> [[alternative HTML version deleted]] > > > David Winsemius > Alameda, CA, USA > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.