On Jul 17, 2015, at 4:33 PM, varin sacha wrote: > Dear R-Experts, > > I have fitted an ordinal logistic regression with just 1 explanatory variable > for the reproducible example here below. > > Everything is working, now I try to calculate the Nagelkerke Pseudo > R-squared. > I have found a package BaylorEdPsych providing many Pseudo R-squared, but the > example shown in the package is for GLM (binary logistic regression) not for > ordinal logistic regression. > How can I calculate the Nagelkerke Pseudo R-squared for ordinal logistic > regression ?
polr-objects have a deviance node. If this has statistical value (which I have some doubts regarding) then just apply the usual formula to compare nested models. -- David. > > Many thanks as usual for your precious help. > > Reproducible example : > > install.packages("MASS") > library(MASS) > a=factor(c("tres grand", "grand", "petit","petit","tres > grand","grand","petit","petit","tres grand","grand")) > b=c("homme", "homme", "femme", "femme", "femme", "homme", "homme", "homme", > "femme", "femme") > m <- polr(a ~ b, Hess=TRUE) > summary(m) > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. David Winsemius Alameda, CA, USA ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.