Hi,
I have two groups of persons, GRP0 and GRP1, on which I measured three
continuous variables: VAR1, VAR2 and VAR3.
I would like to use Mancova in R with:
- VAR1, VAR2 and VAR3 as outcome variables
- GRP={0,1} as predictor variable
- age and gender = {F,M} as covariates
What would be the correct way to formulate this model in R?
Also, since the VAR1, VAR2 and VAR3 measures were carried out on the
same persons at N=100 instances which were serially correlated, I
would like to apply permutation-based multiple-comparison correction
on the N=100 MANCOVA results I would obtain. Any help on this matter
as well would be fantastic.
Best wishes,
Michael
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