Analyzing Highly Correlated Data

aultk.mmcri@mmc.org
Wed, 23 Aug 95 9:24:00 -0500

I am beginning to write a paper in which I propose using rotation of the axes of
a two dimensional histogram in order to "remove the correlation" from highly
correlated data. This seems to me to be a better way to analyze such data.

I think that what I am doing is probably similar to "principal components"
analysis, but it is less general and (hopefully) easier to understand (for clinical
types - you know ;))

Can anyone point me to references that may have dealt with this type of data
analysis? I probably have not explained it very well here, but would appreciate
any help I can get from the participants in this forum.

----------------------------------------------------------------
Kenneth A. Ault M.D.
Maine Medical Center Research Institute
125 John Roberts Road
South Portland ME 04106
Voice (207) 761-9090
Fax (207) 761-2130
E-Mail aultk.mmcri@office.mmc.org
----------------------------------------------------------------

Home Page Table of Contents Sponsors Web Sites
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