R help - Mar 2008 - How to do multi-factor stratified sampling in R

Given a set of data with a number of variables plus a response, I'd 
like to obtain a randomized subset of the rows such that the marginal 
proportions of each variable are maintained closely in the subset to 
that of the dataset, and possibly maintaining as well the two-factor 
interaction marginal proportions as well for some pairs.

This must be a common problem in data mining, but I don't seem to be 
able to locate the proper library or function for doing this in R.

Thanks for any help.
===============================================================Robert A.
LaBudde, PhD, PAS, Dpl. ACAFS  e-mail: ral at lcfltd.com
Least Cost Formulations, Ltd.            URL: http://lcfltd.com/
824 Timberlake Drive                     Tel: 757-467-0954
Virginia Beach, VA 23464-3239            Fax: 757-467-2947

"Vere scire est per causas scire"

"Robert A. LaBudde" <ral at lcfltd.com> wrote in
news:0JXF00LSO864ATE0 at vms040.mailsrvcs.net: 
> Given a set of data with a number of variables plus a response, I'd 
> like to obtain a randomized subset of the rows such that the
> marginal proportions of each variable are maintained closely in the
> subset to that of the dataset, and possibly maintaining as well the
> two-factor interaction marginal proportions as well for some pairs.
> 
> This must be a common problem in data mining, but I don't seem to be
> able to locate the proper library or function for doing this in R.
> 
> Thanks for any help.
Have you looked at the "sampling" package? I have never used it, but
the
strata() function appears to be capable.

-- 
David Winsemius