When I have problems like that I try the same fit using 'glm' and see what I get.
On Sun, May 27, 2012 at 1:53 PM, irena <irena.be...@gmail.com> wrote: > Hi, > > I am running a logistic regression model using lrm library and I get the > following error when I run the command: > > mod1 <- lrm(death ~ factor(score), x=T, y=T, data = env1) > Unable to fit model using “lrm.fit” > > where score is a numeric variable from 0 to 6. > > LRM executes fine for the following commands: > mod1 <- lrm(death ~ score, x=T, y=T, data = env1) > > mod1<- lrm(death ~ factor(score)+ > factor(var1)+factor(var2)+factor(var3)+ > factor(var4)+factor(var5)+factor(var6)+ > factor(var7), x=T, y=T, data = env1) > > I do not understand why I get the error. I have tried to use glm and it > works perfectly fine. > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Unable-to-fit-model-using-lrm-fit-tp4631525.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. ______________________________________________ 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.
