[R] alternatives to KS test applicable to K-samples
dwinsemius at comcast.net
Sat May 30 23:11:06 CEST 2015
On May 29, 2015, at 10:02 AM, Cade, Brian 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).
I did not find a link to an actual package at that page nor on any of the others to which it linked.
> The MRPP may also be available in other R packages on CRAN (vegan ?).
There is an mrpp function in pkg:vegan although its help page description made me think it depended (at least in its default mode) on the squared-deviations from means. I'd suggest using CRAN Task View: Robust Statistical Methods (Maintainer: Martin Maechler) for searching for alternative methods.
> 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
>> 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.
Alameda, CA, USA
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