[R] non-parametric manova with post-hoc test

[Cade, Brian]

You could try a multi-response permutation procedure (MRPP) for
multivariate hypothesis testing (null is groups come from a common
distribution) without resorting to ranks.  There are no automated multiple
comparison procedures, but one could either look at pairwise contrasts of
group (if that is what you are implying by post-hoc testing) with some sort
of correction procedure for multiple comparisons (e.g., Holm's sequential
procedure).  Or similarly, comparisons with different subsets of the
multivariate outcome variables (again, adjusting for multiple comparisons)
across the grouping structure.  There are several R packages that I think
implement MRPP but the Blossom package might be one of the better
implementations in terms of alternatives provided (including permutation
version of Hotelling's test).

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 Wed, Jan 18, 2017 at 10:00 AM, <michael.eisenring at agroscope.admin.ch>
wrote:

> Good day,
> I am looking for a way to perform a non parametric manova and to analyze
> the result using post-hoc tests (an equivalent of the kruskal wallis test
> for anova)
>
> In my book (discovering statistic using R) two tests are described Munzel
> and Brunners method (mulrank) and Choi and Mardens test (cmanova). Both are
> from the package WRS which unfortunately does not exist anymore (and WRS2
> is not containing these tests). Furthermore the test do to my knowledge not
> allow post-hoc analyses-
>
> I would be grateful for your help
>
> Best,
> Mike
>
> Eisenring Michael, Msc.
> PhD Student
>
> Federal Department of Economic Affairs, Education and Research
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>
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