[R] Help with multi-response multiple factor model with varying number of factors

From: Colleen Kenney <colleen.t.kenney_at_gmail.com>
Date: Thu, 28 Apr 2011 07:52:34 -0400


This is both a statistics and R question. I will give more detail if necessary.

What packages of functions would help me to create a mutli-response model with multiple factors, where the number of levels for each factor is different? I have a couple hundred simulation experiments, and each experiment has four defining factors and 4 continuous and possibly correlated response variables. I am not sure if this is enough information and I will gladly provide more. I am not sure if I need to do a manova or go to response surface methodologies, or something else, and I don't know how to perform the methodologies in R. I tried using the manova function in R, but I am having trouble with specifying the model and finding documentation about how to interpret multiple response results. I looked into doing a response surface model, but I cannot determine if R can handle multiple responses; the documentation I read says it cannot, but that was written in 2009. Any help would be greatly appreciated.

My apologies if this question is too general or is posted to the incorrect forum. All guidance is accepted!

Thank your



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