here's some code as an example.... hope it helps! mod<-polr(vote~age+demsat+eusup+lrself+male+retnat+union+urban, data=dat) summary(mod)
mod<-polr(vote~age+demsat+eusup+lrself+male+retnat+union+urban, data=dat) levs<-levels(dat$vote) tmpdat<-list() for(i in 1:(nlevels(dat$vote)-1)){ tmpdat[[i]] <- dat tmpdat[[i]]$z <- as.numeric(as.numeric(tmpdat[[1]]$vote) <= levs[i]) } form<-as.formula("z~age+demsat+eusup+lrself+male+retnat+union+urban") mods<-lapply(tmpdat, function(x)glm(form, data=x, family=binomial)) probs<-sapply(mods, predict, type="response") p.logits<-cbind(probs[,2], t(apply(probs, 1, diff)), 1-probs[,ncol(probs)]) p.ologit<-predict(mod, type='probs') n<-nrow(p.logits) bin.ll <- p.logits[cbind(1:n, dat$vote)] ologit.ll <- p.ologit[cbind(1:n, dat$vote)] binom.test(sum(bin.ll > ologit.ll), n) dat$vote.fac<-factor(dat$vote, levels=1:6) mod<-polr(dat$vote.fac~age+demsat+eusup+lrself+male+retnat+union+urban, data=dat) source("http://www.quantoid.net/cat_pre.R ") catpre(mod) install.packages("rms") library(rms) olprobs<-predict(mod, type='probs') pred.cat<-apply(olprobs, 1, which.max) table(pred.cat, dat$vote) round(prop.table(table(pred.cat, dat$vote), 2), 3) On Mar 11, 2013, at 5:02 PM, Heather Kettrey wrote: > Hi, > > I am running an analysis with an ordinal outcome and I need to run a test > of the parallel regression assumption to determine if ordinal logistic > regression is appropriate. I cannot find a function to conduct such a test. >> From searching various message boards I have seen a few useRs ask this same > question without a definitive answer - and I came across a thread that > indicated there is no such function available in any R packages. I hope > this is incorrect. > > Does anyone know how to test the parallel regression assumption in R? > > Thanks for your help! > > > -- > Heather Hensman Kettrey > PhD Candidate > Department of Sociology > Vanderbilt University > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. [[alternative HTML version deleted]] ______________________________________________ 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.