Thank you all. Warnings well-taken. My question arose in the context of my "Applied Categorical Data Analysis" course. We're mainly using SAS. Recent homework questions have been of the form, "The file provides data on 4 variables A, B, C, and D. Find a good-fitting model . . . [more questions about interpreting the model we come up with] . . . " One of my fellow students asked if SAS has some way to automate the process (not the interpretation, but at least fitting the many possible models and providing output for us to look at.) Apparently SAS does not. I was curious if R did.
So in this case, it is a "required ritual." We've gone over the dubious worth of the P-values in previous class discussions. --Chris Christopher W. Ryan, MD SUNY Upstate Medical University Clinical Campus at Binghamton 40 Arch Street, Johnson City, NY 13790 cryanatbinghamtondotedu "If you want to build a ship, don't drum up the men to gather wood, divide the work and give orders. Instead, teach them to yearn for the vast and endless sea." [Antoine de St. Exupery] Ben Bolker wrote: > > > Dieter Menne wrote: >> Christopher W. Ryan <cryan <at> binghamton.edu> writes: >> >>> Is there a way to automate fitting and assessing loglinear models for >>> several nominal variables . . . something akin to step or drop1 or add1 >>> for linear or logistic regression? >> Not strictly for loglinear, but glm works with stepAIC. Make sure that >> in the field you are working this approach is an accepted ritual. >> >> Dieter >> >> > > There is also the package formerly known as "dRedging": > http://r-forge.r-project.org/projects/mumin/ > > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
