[R] factor analysis (pca): how to get the 'communalities'?

Brett Magill bmagill at earthlink.net
Fri Jan 3 21:53:03 CET 2003

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.


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 <LindnerW at t-online.de>

> 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                          
> Lindner at math.uni-duisburg.de
>    Gerhard-Mercator-Universitaet Duisburg  Tel:
> +49 0203 379-1326
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