error: in catg (xi, name=nam, label=lab): "LO2" has <2 category levels
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.