Dear experts, I have a few quick questions related to GLMs:
1) Suppose my response is of the type Yes/No, How can I control which response I'm modelling? 2) How can I perform Type III tests? Is it with -> drop1(mymodel, test="Chisq") ? 3) I have a numerical variable which I converted to an ordered factor as shown below, but in the summary results of the logistic regression I get labels for this variable which are not the ones I specified (I get labels I even don't know where they are coming from)? set.seed(12345) dv <- gl(n=2, k=1, length=20, label=c("Yes", "No")) x1 <- rnorm(n=20, mean=100, sd=10) x2 <- gl(n=3, k=1, length=20, label=c("x2_1", "x2_2", "x2_3")) mydata <- data.frame(dv,x1,x2) mydata$f.x1 <- cut(x1, breaks=c(80,90,100,120)) mydata$f.x1 <- ordered(mydata$f.x1, labels=c("L1", "L2", "L3") , levels(mydata$f.x1)) #Specify desired labels mydata$f.x1 attach(mydata) mymodel <- glm(dv ~ f.x1 + x2, family=binomial) summary(mymodel) drop1(mymodel, test="Chisq") #Type 3 test? lastly, 4) how can I test statistical significance between levels of a factor? Thanks a lot for your help! Lars. [[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.