alternatives to KS test applicable to K-samples
Very nice, Brian Sincerely appreciate your assistance!
On Friday, May 29, 2015, Cade, Brian <cadeb at usgs.gov> wrote:
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: cadeb at usgs.gov <javascript:_e(%7B%7D,'cvml','brian_cade at usgs.gov');> tel: 970 226-9326 On Fri, May 29, 2015 at 10:31 AM, Wensui Liu <liuwensui at gmail.com <javascript:_e(%7B%7D,'cvml','liuwensui at 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
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