You could also try using interactive graphics in iplots. Linking from a barchart of your binary response variable to your eight continuous predictors in a parallel coordinate plot and to your four categorical predictors in some form of mosaicplot could be very informative.
Graphics are not necessarily the method of choice to select your predictor variables, as Frank Harrell has pointed out. It is also sensible not to rely on modelling alone. Graphic displays can help you better understand your data and models. The two approaches are complementary. Antony Unwin University of Augsburg Germany On Tue, May 4, 2010 at 9:04 PM, Kim Jung Hwa <kimhwamaill...@gmail.com>wrote: > Hi All, > > I'm dealing with binary response data for the first time, and I'm confused > about what kind of graphics I could explore in order to pick relevant > predictors and their relation with response variable. > > I have 8-10 continuous predictors and 4-5 categorical predictors. Can > anyone > suggest what kind of graphics I can explore to see how predictors behave > w.r.t. response variable... > > Any help would be greatly appreciated, thanks, > Kim > ______________________________________________ [[alternative HTML version deleted]] ______________________________________________ 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.