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 3 was produced by Monica M. Shively and other 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: (765)-494-0757;
FAX(765) 494-0517;
Web
http://www.cyto.purdue.edu
, EMAIL
cdrom3@flowcyt.cyto.purdue.edu
