Re: [R] PCA and % variance explained

2008-09-10 Thread pgseye
Thanks everyone, Paul -- View this message in context: http://www.nabble.com/PCA-and---variance-explained-tp19388970p19410675.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/ma

Re: [R] PCA and % variance explained

2008-09-10 Thread Gad Abraham
pgseye wrote: After doing a PCA using princomp, how do you view how much each component contributes to variance in the dataset. I'm still quite new to the theory of PCA - I have a little idea about eigenvectors and eigenvalues (these determine the variance explained?). Are the eigenvalues related

Re: [R] PCA and % variance explained

2008-09-09 Thread ngottlieb
I did PCA stuff years there is a thing that is called a scree score Which will give an indication of the number of PCA's and the variance explained. Might want to web search on scree score and PCA. -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of pgseye

Re: [R] PCA and % variance explained

2008-09-09 Thread Mark Difford
Hi Paul, >> how do you view how much each component contributes to variance in the >> dataset ... It helps to read the help: ?princomp ?prcomp Contributions to inertia or variance are reported as standard deviations (princomp.obj$sdev). So square these values to get the variance accounted for