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

[Brett Magill]

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