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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 <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: