Re: [R] PCA IN R

2007-09-10 Thread Bjørn-Helge Mevik
prcomp() in stats handles matrices with n < p well, IMO. -- Bjørn-Helge Mevik __ R-help@stat.math.ethz.ch 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

[R] PCA IN R

2007-09-07 Thread Weiwei Shi
hi, A very quick search of PCA in R results in a lot of packages involving that function. Just wondering which one is generally used for "fat" data like microarray, esp. when the number of features is really big? Thanks for comments -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you

RE: [R] PCA in R

2004-07-14 Thread Liaw, Andy
When all else fails, RTFM; e.g., see ?princomp and read it in its entirety. Then maybe also try running example(princomp). Andy > From: Herman, David (NIH/NIMH) > > Hello, > I'm attempting to run a PCA on an example data > set. I ran it > just fine, but I don't know how to few the o

Re: [R] PCA in R

2004-07-14 Thread Jonathan Baron
On 07/14/04 16:05, Herman, David (NIH/NIMH) wrote: >Hello, >I'm attempting to run a PCA on an example data set. I ran it >just fine, but I don't know how to few the output? Take a look at the help file for prcomp, especially the bottom of it. (This is completely general advice for any

[R] PCA in R

2004-07-14 Thread Herman, David (NIH/NIMH)
Hello, I'm attempting to run a PCA on an example data set. I ran it just fine, but I don't know how to few the output? I listed what the variable got stored in it, but I don't know how I can get anything else out of it. Are there other ways to view the results? Also, I'm confused about