There are lots of ways to do many of those things, and we have no way of knowing which are most appropriate for your data and baseline assumptions.
The very best thing you can do is learn how to find options for performing basic tasks yourself. Within R the help facility can be useful, especially ?? and apropos(). For web searching, I use http://www.rseek.org a lot for information on packages, functions, R tips. If you have specific questions after you spend some time familiarizing yourself with the options, then we can help. Sarah On Fri, Dec 2, 2011 at 7:28 PM, Michel Rapinski <mrapi...@uottawa.ca> wrote: > Hi, > > I've got a response matrix (Y) composed of multiple quantitative variables > of the same nature which I am subjecting to multivariate analysis. I was > wondering if there was a simple way of testing the following 3 things in > R: > > 1) Significance of the coefficients of correlation (from the computed > correlation matrix of Y). > 2) Independence of the Y variables. > 3) Multinormal distribution test. > > Thank you, > > Michel > -- Sarah Goslee http://www.functionaldiversity.org _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology