Finn, >> But when I use 'principal' I do not seem to be able to get the same >> results >> from prcomp and princomp and a 'raw' use of eigen: < ...snip... > >> So what is wrong with the rotations and what is wrong with 'principal'?
I would say that nothing is wrong. Right at the top of the help file for principal() [3rd line down] Professor Revelle notes that "The eigen vectors are rescaled by the sqrt of the eigen values to produce the component loadings more typical in factor analysis." You talk about differences and results not "quite" corresponding. But what actually are these differences? and what are their magnitudes? In cases like this, where you are questioning well-tested functions you would be well advised to give concrete examples, accompanied by code that users can run without having to grub around your questions. Regards, Mark. -- View this message in context: http://r.789695.n4.nabble.com/Factor-rotation-e-g-oblimin-varimax-and-PCA-tp3239099p3241553.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
