[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

R-help_at_r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Thu 28 Apr 2011 - 14:13:10 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Thu 28 Apr 2011 - 14:20:34 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive