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

[Wensui Liu]

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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>
>

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WenSui Liu
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wensui.liu at 53.com
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