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pca in R
2 messages · Ogbos Okike, Ista Zahn
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.okike at 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]]
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Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org