You appeaer to be using the rms package. Please follow the posting guide. The error message looks to be self-explanatory (empty cell); you just have to find which predictor it applies to. As an aside, rms does not like you to use factor() in a model, and there's probably a more concise way to deal with all the L variables. Frank
Tvandenberg wrote > > Dear R-users, > > During a fit procedure in a Logistic prediction model I encounter the > following problem: > > error: in catg (xi, name=nam, label=lab: X has <2 category levels > > The following code is used: > > fit <-lrm(MRI_Diag_RC ~ factor(O4_1r) + N6_1r + leeftijd + LO1 + LO2 + > LO3+ LO4+ LO5+ LO6+ LO7+ LO8+ LO9+ LO10+ LO11+ LO12+ LO13 + LO14+ LO15+ > LO16+ LO17+ LO18+ LO19+ LO20+ LO21+ LO22+ LO23+ LO24 + LO26+ LO27 + LO29, > model=T, x=T, y=T, data=dat) > > Most predictors are (dichotomous) nominal variables as is the problematic > "LO2". Does anyone know what the problem is and how I can correct it? > > Kind regards, > > Tobias > ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/error-in-catg-xi-name-nam-label-lab-LO2-has-2-category-levels-tp4642495p4642501.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.