Weiwei, You could also look into using one of several methods of "classification" that calculate the "weight" of individual predictors in producing a correct result based on some version of cross-validation. One that I use relatively often is randomForest (in the randomForest package).
Sean On 4/7/06 12:34 PM, "Peter Ehlers" <[EMAIL PROTECTED]> wrote: > It sounds as though 'logic regression' might help. See > > Ruczinski I, Kooperberg C, LeBlanc ML (2003). Logic Regression, > Journal of Computational and Graphical Statistics, 12, 475-511. > > and the LogicReg package. > > Peter Ehlers > > Weiwei Shi wrote: > >> Hi there, >> I have a statistics question on a classification problem: >> >> Suppose I have 1000 binary variables and one binary dependent variable. I >> want to find a way similar to PCA, in which I can find a couple of >> combinations of those variables to discriminate best according to the >> dependent variable. It is not only for dimension reduction, but more >> important, for finding best way to construct features. This is NOT CDA since >> the explanatory variables are NOT continuous. I knew the existence of that >> method since I consulted before with a professor but I forgot the name of >> the method.. sigh... >> >> I am also wondering if R has already some function or package addressing >> this kind of problem. >> >> Thanks >> >> -- >> Weiwei Shi, Ph.D >> >> "Did you always know?" >> "No, I did not. But I believed..." >> ---Matrix III >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> [email protected] mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
