Hello, I posted this to the general R list but got no replies. I am not sure this is appropriate for r-lang: the data ARE linguistic but the question is general. Apologies if this is inappropriate.
I have subjects in 4 groups: X1, X2, X3, X4. There are 33 subjects in group X1, 35 in X2, 31 in X3, and 46 in group X4. I have 7 continuous response variables (actually integers, they are frequencies of functional morphemes, approximately normal) measured for each subject: Y1 to Y7, and two continuous covariates C1, C2 (they are both integers). I want to perform all pairwise comparisons for each response variable between groups. I have searched for a way to do a MANCOVA in R to no avail. I am familiar with summary.manova, and with Venables & Ripley "Modern Applied Statistics With S" and Everitt's "An R and S-Plus Companion to Multivariate Analysis". However, I am neither a statistician nor a programmer so I am finding it hard to figure this out. Can summary.manova be adapted to use covariates? What is the impact of the unbalanced design? Can I adjust for multiple comparisons? Thank you Bruno Estigarribia UNC Chapel Hill _______________________________________________ R-lang mailing list [email protected] http://pidgin.ucsd.edu/mailman/listinfo/r-lang
