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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