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

[Cade, Brian]

Not sure what the issue is here.  If I click on the link I provided, I go
right to the USGS page where instructions for downloading the software are
provided.

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 Sat, May 30, 2015 at 3:11 PM, David Winsemius <dwinsemius at comcast.net>
wrote:

>
> 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.
>
> --
> David.
>
>
> >
> > 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
> >
>
>
> David Winsemius
> Alameda, CA, USA
>
>

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