Hi, first, you should always provide some repeatable code for us to have a look at, that shows what you have tried so far. That being said, you can use the subset= option in glm to subdivide your data and run separate models like that, e.g.
fit.1<-glm(y~x1+x2, data=yourdat, family=binomial, subset=group==1) fit.2<-glm(y~x1+x2, data=yourdat, family=binomial, subset=group==2) where group is your grouping variable. Which should give you that kind of stratified model. Hope this helps, Corey ----- Corey Sparks, PhD Assistant Professor Department of Demography and Organization Studies University of Texas at San Antonio 501 West Durango Blvd Monterey Building 2.270C San Antonio, TX 78207 210-458-3166 corey.sparks 'at' utsa.edu https://rowdyspace.utsa.edu/users/ozd504/www/index.htm -- View this message in context: http://n4.nabble.com/logistic-regression-by-group-tp1577655p1577971.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
