Dear R-users,
is anybody aware of some package or routine to implement nonparametric
Multivariate Analysis of Covariance (MANCOVA) using matrices instead of
single variable names? I found something for parametric MANCOVA which still
requires single variables to be used (ffmanova,vegan), but since both the
response matrix and the covariates matrix are quite large (306 and 152
variables, respectively) I have some difficulty in implementing this
model...
Something like Y ~ X*Z, where X is a design matrix, and Z is the covariate
matrix. Rows of both Y and Z are much less than respective columns...
Actually, the closest thing i found is the adonis function in the vegan
package (I've used it much but only for MANOVA purposes), but still things
do not seem to work that properly...namely no residual df is left for
estimating residuals SS...
thanks for any help!
niccolò
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