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

[michael.eisenring at agroscope.admin.ch]

Dear Brian,
Thank you for your answer.
Another thing that came to my mind: Would it be possible just to separately rank-transform my 3 dependent  variables and then to conduct a normal MANOVA on this data?


Thanks,
Mike
Eisenring Michael, Msc.
PhD Student

Federal Department of Economic Affairs, Education and Research
EAER
Agroecology and Environment
Biosafety

Reckenholzstrasse 191, CH-8046 Zürich
Tel. +41 44 37 77181
Fax +41 44 37 77201
michael.eisenring at agroscope.admin.ch<mailto:michael.eisenring at agroscope.admin.ch>
www.agroscope.ch<http://www.agroscope.ch/>

Von: Cade, Brian [mailto:cadeb at usgs.gov]
Gesendet: Mittwoch, 18. Januar 2017 18:20
An: Eisenring Michael Agroscope <michael.eisenring at agroscope.admin.ch>
Cc: r-help at r-project.org
Betreff: Re: [R] non-parametric manova with post-hoc test

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<mailto:brian_cade at usgs.gov>
tel:  970 226-9326


On Wed, Jan 18, 2017 at 10:00 AM, <michael.eisenring at agroscope.admin.ch<mailto: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
EAER
Agroecology and Environment
Biosafety

Reckenholzstrasse 191, CH-8046 Zürich
Tel. +41 44 37 77181
Fax +41 44 37 77201
michael.eisenring at agroscope.admin.ch<mailto:michael.eisenring at agroscope.admin.ch><mailto:michael.eisenring at agroscope.admin.ch<mailto:michael.eisenring at agroscope.admin.ch>>
www.agroscope.ch<http://www.agroscope.ch><http://www.agroscope.ch/>


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