PCA 1, 2, and 3 refer to the scores not the loadings. Check out the help for princomp.
?princomp pc.cr <- princomp(USArrests, cor = TRUE) pc.cr$scores[1:3, ] Jean On Tue, Mar 31, 2015 at 4:26 PM, im db <imdb.subscr...@gmail.com> wrote: > Dear All, I want to use princomp() function in R in order to calculate > Principle Component Analysis.In different papers, I have seen "PCA 1", "PCA > 2", "PCA 11" , etc. Would you please tell me how can i calculate different > PCAs in R?At the moment i just use this line "eigenVectors <- > pca$loadings"But I don’t know if it is correct to use loadings.Thank you in > advance. Best regards, > Iman Dabbaghi > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
