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 [EMAIL PROTECTED]
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