I have a rather large data set (about 30 predictor variables) I need to preform a logistic regression on this data. My response variable is binary.
My code looks like this: mylogit <- glm(Enrolled ~ A + B + C + ... + EE, data = data, family = binomial(link="logit")) with A,B,C, ... as my predictor variables. Some categorical, some continuous, some binary. I run the code and get this error: Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : contrasts can be applied only to factors with 2 or more levels Any ideas on how to fix this? I am fairly new to R so Im guessing there is something missing/wrong in my logit code. Thanks! -- View this message in context: http://r.789695.n4.nabble.com/Error-in-contrasts-message-when-using-logistic-regression-code-tp4647198.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.
