Dear listserv,

I am trying to perform a principal components analysis and create an output table of the eigenvalues for the dependent variables. What I want is to see which variables are driving each principal components axis, so I can make statements like, "PC1 mostly refers to seed size" or something like that.

For instance, if I try the example from ?prcomp

> prcomp(USArrests, scale = TRUE)

Now what? None of the components of prcomp-class objects appear to have this information. "rotation" will give me the eigenvectors for the individual data points, NOT the eigenvectors for the dependent variables for each PC axis.

Alternatively, I could try the example from ?princomp

> princomp(USArrests, cor = TRUE)

But I have the same problem -- now what? None of the components of princomp-class objects appear to have the information I'm after.

Thanks very much in advance for any help!
-----------------------------------
Josh Banta, Ph.D
Center for Genomics and Systems Biology
New York University
100 Washington Square East
New York, NY 10003
Tel: (212) 998-8465
http://plantevolutionaryecology.org



      
	[[alternative HTML version deleted]]

