Hi,

I'm doing anova on a matrix of multivariate data where I want to assess the
effect of each column (element).

My matrix is 86 rows x 31 columns.  I've created a grouping factor of length
86 containing group assignments of 6 types.

Then I run:

x<- aov(matrix~grouping.factor)
summary(aov.fit.raw, test="Wilks")

This is working fine enough, but I'm getting different results to someone
who I'm comparing with - am I doing what I think I am doing here??

What I think I'm doing is - take the first column (element) and then look at
that element between the 6 groups and report F, Pvalue etc..., then move
onto the 2nd column and repeat.

Thanks



-- 
Gareth Campbell
PhD Candidate
The University of Auckland

P +649 815 3670
M +6421 256 3511
E gareth.campbell@esr.cri.nz
gcam032@gmail.com

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