[R] a statistics question

[Sean Davis]

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" <ehlers at math.ucalgary.ca> 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]]
>> 
>> ______________________________________________
>> R-help at stat.math.ethz.ch mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html