Re: Analyzing Highly Correlated Data
MURPHY@a.cfr.cmu.edu
Tue, 12 Sep 1995 13:22:39 -0400 (EDT)
In response to Ken's message, finding and displaying the first two principal
components of a two dimensional data set is EXACTLY equivalent to rotating
the axes such that the maximum amount of correlation that can be removed
is removed. Finding principal components is easy - many general purpose
analysis packages have this capability.
Bob Murphy
CD ROM Vol 2 was produced by staff at the Purdue University Cytometry Laboratories
and distributed free of charge as an educational service to the cytometry community.
If you have any comments please direct them to Dr. J. Paul Robinson, Professor & Director, PUCL,
Purdue University, West Lafayette, IN 47907. Phone:(317) 494-0757; FAX (317) 494-0517; Web http://www.cyto.purdue.edu
EMAIL robinson@flowcyt.cyto.purdue.edu
