Function principal() in psych takes a correlation matrix so use cov2cor() to convert:
library(psych) iris.pca <- principal(cov2cor(cov(iris[,-5])), nfactors=4, rotate="none") print(iris.pca$Structure, cutoff=0) David -----Original Message----- From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Scott Colwell Sent: Monday, February 23, 2015 3:34 PM To: r-help@r-project.org Subject: Re: [R] Extracting Factor Pattern Matrix Similar to Proc Factor Thanks David. What do you do when the input is a covariance matrix rather than a dataset? -- View this message in context: http://r.789695.n4.nabble.com/Extracting-Factor-Pattern-Matrix-Similar-to-Proc-Factor-tp4703704p4703719.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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. ______________________________________________ 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.
