Mario Alfonso Morales Rivera
2006-Nov-28 16:37 UTC
[R] factor analysis using Principal Component Method
Is there any R function to perform factor analysis using Principal Component Method? why factanal() method is " always "mle" " ?
The 'factor.model.stat' function that is available in the public domain area of the Burns Statistics website may or may not satisfy your needs. Patrick Burns patrick at burns-stat.com +44 (0)20 8525 0696 http://www.burns-stat.com (home of S Poetry and "A Guide for the Unwilling S User") Mario Alfonso Morales Rivera wrote:>Is there any R function to perform factor analysis using Principal >Component Method? > >why factanal() method is " always "mle" " ? > >______________________________________________ >R-help at 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 >and provide commented, minimal, self-contained, reproducible code. > > > >
Mario Alfonso Morales Rivera wrote:> Is there any R function to perform factor analysis using Principal > Component Method? > > why factanal() method is " always "mle" " ? >Because PCM is not "factor analysis" (the two methods fit different models) and R didn't want to take part in the mislabeling (which I believe comes from SPSS). You can do PCM with the prcomp() and princomp() functions. -- 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 at biostat.ku.dk) FAX: (+45) 35327907