On 2/10/08, Erin Hodgess <[EMAIL PROTECTED]> wrote: > When performing PCA, should I use prcomp, princomp or fast.prcomp, please?
You can take a look here [1] and here [2] for some short references. >From the first page: "Principal Components Analysis (PCA) is available in prcomp() (preferred) and princomp() in standard package stats." There are also - at least - FactoMineR, psych and ade4 that provide PCA funtions. I imagine that it would much depend on what you want to do. Liviu [1] http://cran.miscellaneousmirror.org/src/contrib/Views/Environmetrics.html [2] http://cran.r-project.org/src/contrib/Views/Psychometrics.html ______________________________________________ R-help@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.
