On Sun, 14 Dec 2003, Douglas Trainor wrote: > Somewhere along the line, you have been confused. > You're in good company though. Factor analysis > and PCA are different entities entirely.
Not in SPSS, where the same command is used for both (although we were not told anything like enough about what was done). *However* I don't know what is meant by `pca in R'. Standard R contains princomp() and prcomp() to do PCA: it appears that pca() is in the orphaned package multiv. Why not use the standard functions? Also, those non-default arguments would appear to be very unusual indeed for PCA, and do not correspond to a *correlation* matrix. > Any clues about this diference? User error looks likely. Please seek out local statistical expertise. > >Dear listmates, i've done a pca analisys in R (1.8 v.) > >with the command > > > >pca(Matrix, cent=FALSE, scle=FALSE) > > > >I have obtained a v matrix very different from the > >component matrix resulted by a factor analysis in SPSS, > >unrotated and with a extraction from a correlation > >matrix. Any clues about this diference? -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
