If interested, on my web site I have code to do factor analysis by PC. Does exactly as below, but a nice wrapper to print methods, rotations, sorting, and other conveniences.
home.earthlink.net/~bmagill/MyMisc.html The relevant code snipets are "prinfact", "plot.pfa", and "print.pfa", along with the other required functions as indiciated on the web site. On Fri, 3 Jan 2003 21:04:21 +0100 Wolfgang Lindner <[EMAIL PROTECTED]> wrote: > Scot, > > thank you very much for your wonderful clear > and short fix of my first problem: > seeing your solution as one-liner in the > impressive insightful syntax of R is > really an aesthetic experience for me: > > | I ran your example and found that you can > get the eigenvalues SPSS by [..] > | m.pca$sdev^2 > | So squaring the standard deviations (sdev) > of the components gives you the > | eigenvalues SPSS reports. > > I am a little sorrow of not having seen it for > myself ;-) - but I think that's > live in becoming a friend of R and making the > first steps with pca, fa, ca & co. > R is indeed a first choice tool in doing > understandable statistics and Prof > Ripley's indication to R's open code points > definitive in the same direction for > me. Now the two worlds become reconciled and > the fog gets thinner for me. > Thank you both. > > Wolfgang > -- > Wolfgang Lindner > [EMAIL PROTECTED] > Gerhard-Mercator-Universitaet Duisburg Tel: > +49 0203 379-1326 > > ______________________________________________ > [EMAIL PROTECTED] mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help > ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
