[R] alternatives to KS test applicable to K-samples

[Cade, Brian]

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 <brian_cade at usgs.gov>
tel:  970 226-9326


On Fri, May 29, 2015 at 10:31 AM, Wensui Liu <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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