On Thu, 2005-10-13 at 16:13 +0200, Andreas Cordes wrote: > 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.
Not in the data that you pasted in your message. After reading in the data I get from the non-rotated R solution: > colSums(rpc^2) V2 V3 1 1 And the non-rotated SPSS solutions gives: > colSums(spc^2) V2 V3 5.363671 2.136624 After normalizing the SPSS pc's, the solutions are identical (within numerical accuracy) after reversing the sign of second pc. I don't want to look at the data full of holes, like the loadings from varimax rotation. However, it seems that the raw solutions are identical. cheers, jari oksanen -- Jari Oksanen -- Dept Biology, Univ Oulu, 90014 Oulu, Finland ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html