prcomp() in stats handles matrices with n < p well, IMO.
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Bjørn-Helge Mevik
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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
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Weiwei Shi, Ph.D
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GeneGO, Inc.
"Did you
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
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
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
