Hi, I'm looking for an easy way to discretize factors in R
I've noticed that the lm function does this automatically with a nice result. If I have group <- c("A", "B","B","C","C","C") and run: lm(result ~ x1 + group) The lm function has split the group into separate binary variables {0,1} before performing the regression. I now have: groupA groupB groupC Some of the other models that I want to try won't accept factors, so they need to be discretized this way. Is there a command in R for this, or some easy shortcut? (I tried digging into the lm code, but couldn't find where this is being done.) Thanks! -N ______________________________________________ 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.