Date:         Tue, 24 Jul 2007 10:02:09 -0500
Reply-To:     "Swank, Paul R" <Paul.R.Swank@UTH.TMC.EDU>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         "Swank, Paul R" <Paul.R.Swank@UTH.TMC.EDU>
Subject:      Re: how to do discriminant analysis using lots of binary variables
Comments: To: Xin Wei <xinwei@STAT.PSU.EDU>
In-Reply-To:  <200707241451.l6OAl8XW001819@mailgw.cc.uga.edu>
Content-Type: text/plain; charset="us-ascii"

I would suggest logistic regression using proc logistic.


Paul R. Swank, Ph.D. Professor
Director of Reseach
Children's Learning Institute
University of Texas Health Science Center-Houston


-----Original Message-----
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of Xin
Wei
Sent: Tuesday, July 24, 2007 9:51 AM
To: SAS-L@LISTSERV.UGA.EDU
Subject: how to do discriminant analysis using lots of binary variables

I am trying to perform discriminant analysis to predict which of two
groups a individual belong to. However, my understanding is that proc
discrim only use continuous varialbe to construct discriminant function.
But my separation variables are all binary. What procedure I ought to
use to do the discriminant analysis with all binary variables?

thanks