I've found the functions in the psych package easier to use than the built in functions for principal components analysis.
-Ista On Sat, Jan 30, 2010 at 2:09 PM, ogbos okike <ogbos.ok...@gmail.com> wrote: > Hi, > I am learning how to do principal component analysis in R. However, since I > am family with only a few built-in functions like prcomp, sd, cor, I started > manually with examples in text books while trying to use the few functions I > know to manipulate what they have in the text. From the example in the text > I obtained a data set. Using cor and cov, I calculated the correlation and > covariance of the data frame. I equally calculated standardized data as they > did. They plotted a graph of the standardized X against Y, X against Z and Z > against Y. I tried to plot the same graph in R but could not fit the First > Principal Component as they did. > I will be glad if anybody would be good enough as to guide me on how to fit > this first (and probably second, third) principal component (s). As a > begginer, I would appreciate any additional information on how to proceed > with pca in R. > Thank you. > Ogbos > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org ______________________________________________ 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.
