[R] Discriminant analysis to select best treatment

From: Felipe Martínez-Pastor <Felipe.Martinez_at_uclm.es>
Date: Mon 13 Feb 2006 - 05:10:14 EST

I am designing an experiment to trial several analytic techniques on samples submitted to different treatments. It has occurred to me that I may use discriminant analysis to find out which kind of analysis best reveals differences between treatments.

I have found the lda {MASS} in R. However, I am not sure if it is adequate to my case, since it performs linear discriminant analysis but --apparently-- not variable selection. In SAS I would use the STEPDISC procedure, whose description is:
"uses forward selection, backward elimination, or stepwise selection to try to find a subset of quantitative variables that best reveals differences among the classes."

I wonder if I could use lda or other function in that way. Maybe you could point me to any resource (I am really new in discriminant analysis).

Thank you.

Felipe Martínez Pastor, Ph. D.
Ciencia y Tecnología Agroforestal
Av. España s/n
02071-Albacete (Spain)
Phone: +34 967 599 200+2581
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e-mail: Felipe.Martinez@uclm.es
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Received on Mon Feb 13 05:13:45 2006

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