Here are two things to try. First check the data. There may be a factor that does not have variation in the sample. For example, if you had a predictor such as 'present'/'absent', in the current sample, all of them may be 'present'.
Second, you can put a 'try' statement in your function. try( myglm <- glm(Response ~ Predictor, family=binomial, data=myData) ) See ?try. On Thu, Jul 2, 2009 at 2:48 PM, Suyan Tian<st...@mail.rockefeller.edu> wrote: > Hi, everyone: > > I am running logistic regression on a bunch of variables using apply > command. But an error occurs, the whole process stops. I am wondering if > anyone knows how to skip this error and to continue the regression for the > rest of variable. > > What I did is that first confine a function to the logistic regression, then > use > > apply(data, 2, reg.fun) > > Then I got an error which is > > [1] "The result of logistic regression:" > Error in `contrasts<-`(`*tmp*`, value = "contr.treatment") : > contrasts can be applied only to factors with 2 or more levels > > Can anyone help me out? Thanks a lot. > > > Suyan > > ______________________________________________ > 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. > ______________________________________________ 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.
