Re: [R] varimax rotation difference between R and SPSS

From: Peter Dalgaard <p.dalgaard_at_biostat.ku.dk>
Date: Fri 14 Oct 2005 - 01:00:53 EST

Andreas Cordes <andreas.cordes@stud.uni-goettingen.de> writes:

> Hi,
> I am puzzeled with a differing result of princomp in R and FACTOR in
> SPSS. Regarding the amount of explained Variance, the two results are
> the same. However, the loadings differ substantially, in the unrotated
> as well as in the rotated form.
> In both cases correlation matrices are analyzed. The sums of the squared
> components is one in both programs.
> Maybe there is an obvious reason, but I somehow fail to see it.

I get

> SPSS.res/ R.res

         V2 V3

1  2.315960 -1.461720
2  2.315960 -1.461720
3  2.315960 -1.461720
4  2.315960 -1.461720
5  2.315960 -1.461720
6  2.315960 -1.461719
7  2.315960 -1.461720
8  2.315960 -1.461720
9  2.315960 -1.461719
10 2.315960 -1.461720
11 2.315960 -1.461720
12 2.315960 -1.461720
13 2.315960 -1.461719
14 2.315960 -1.461720

which I presume is part of the puzzle. I don't think varimax() wants its loadings normalized like they are in loadings(princomp()) (after all, it was designed for factanal(), not princomp()), and I wouldn't be the least surprised if the $sdev components of princomp() were related to 2.315960 and 1.461720.

-- 
   O__  ---- Peter Dalgaard             ุster Farimagsgade 5, Entr.B
  c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
 (*) \(*) -- University of Copenhagen   Denmark          Ph:  (+45) 35327918
~~~~~~~~~~ - (p.dalgaard@biostat.ku.dk)                  FAX: (+45) 35327907

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Received on Fri Oct 14 01:11:22 2005

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