Hi all, I have a queston about Categorical response.
i have a data frame containing age, sex, class, success(1=success, 0=non sucess). age, sex,class are the explantory variables, and sucess is the response variable. and i can get n (the nunber of times each age occurs) and r (the number of sucess of that age). when I try to creat the regression relationship for these variables, I have seen many different cases, i just wonder which one fits me the best for this situation. 1st case, xxx.glm<-glm(success~age*sex*class,family=binomial, data=xxx.data) 2nd case xxx.glm<-glm(r/n~age*sex*class,family=binomial, data=xxx.data) 3rd case xxx.glm<-glm(cbind(r,n-r)~age*sex*class,family=binomial, data=xxx.data) what is difference between the above 3 cases? which one is the best to use? if Ii don't group the data, can I use the 1st case. if i group the data, can i use 2nd or 3rd case? please advise. Cheers. Andyer ______________________________________________ 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.