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]] ______________________________________________ R-help@r-project.org 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 commented, minimal, self-contained, reproducible code.
