> However, I have yet to encounter such a case. If I had time to pursue > a modeling effort beyond simple univeriate analyses, I thing I would > move to "structural equation modeling" (package sem) or "partial least > squares". "RSiteSearch" can lead you to R capabilities for these. (See > also "http://finzi.psych.upenn.edu/R/Rhelp02a/archive/29119.html";).
Another option is to look at your data in their original high dimensional space, eg., with the grand tour in GGobi (http://www.ggobi.org, http://ggobi.org/demos/tour.html). MANOVA tests the hypothesis that the means are different (assuming multivariate normality and a common variance-covariance matrix). By looking at your data you can investigate more interesting hypotheses - are the groups overlapping? is there a linear or non-linear separation between the groups? are the responses highly correlated? Hadley ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
