Wensui: There are the multi-response permutation procedures (MRPP) that readily test the omnibus hypothesis of no distributional differences among multiple samples for univariate or multivariate responses. There also are empirical coverage tests that test a similar hypothesis among multiple samples but only for univariate responses. Both are included in the USGS Blossom package for R linked here: https://www.fort.usgs.gov/products/23735 (not yet distributed via CRAN). The MRPP may also be available in other R packages on CRAN (vegan ?).
Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: ca...@usgs.gov <brian_c...@usgs.gov> tel: 970 226-9326 On Fri, May 29, 2015 at 10:31 AM, Wensui Liu <liuwen...@gmail.com> wrote: > Good morning, All > I have a stat question not specifically related to the the programming > language. > To compare distributional consistency / discrepancy between two > samples, we usually use kolmogorov-smirnov test, which is implemented > in R with ks.test() or in SAS with "pro npar1way edf". > I am wondering if there is any alternative to KS test that could be > generalized to K-samples. > > Thanks and have a nice weekend. > > wensui > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.