R help - Aug 2011 - PCA Using prcomp()

Hey guys,

I am new to R and apologize for the basic question - I do not mean to
offend.

I have been using R to perform PCA on a set several hundred objects using a
set of 30 descriptors. From the results generated by prcomp(), is there a
way to print a matrix showing the contributions of the original variables to
each PC? My hope is to identify which of the original 30 variables are the
most important in describing the data set.

Thanks for your time.

-Chris

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> -----Original Message-----
> christopher stratton
> Sent: 14 August 2011 22:22
> Subject: [R] PCA Using prcomp()
>
>  From the results 
> generated by prcomp(), is there a way to print a matrix 
> showing the contributions of the original variables to each 
> PC? 
Sounds like you're looking for the variable loadings matrix, stored in the
prcomp object as 'rotation' according to the help page.

Extending the example from the help page:

usar.pca <-      prcomp(USArrests, scale = TRUE)
 
usar.pca$rotation

S Ellison
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