I suggest a couple of courses before proceeding. Multinomial logistic models have special challenges. And note that you have two nomenclature errors in your note, which is usually a sign of not having taken the relevant coursework. Frank
Belle wrote: > > Does anyone know how to run Multinomial logistical Model in R in order to > get predicted probability? > > The response is content (5 levels: 1, 2, 3, 4, 5) > The covariance are: > assignment - int (0, 1) > dr0 - int (0, 1) > dr1 - int (0, 1) > yr_exp - num > yr_exp_s - num > ismgdr - int (0, 1) > ismgyr_t_A - int (0, 1) > pair - int (41 pairs: 1001, 1002, ...) > > There is no random effect involved, all the variables are fixed. > > I have tried mlogit, but it does not work. > > x <- SciContent > x$content <- as.factor(x$content) > mldata <- mlogit.data(x, varying=NULL, choice="content", shape="wide") > SciCt <- mlogit(mldata$content | mldata$assignment + mldata$dr0 + > mldata$dr1 + mldata$yr_tch_exp + mldata$yr_tch_exp_s + mldata$ismgdr + > mldata$ismgyr_t_A + mldata$pair) > > Error: inherits(object, "formula") is not TRUE > ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Multinomial-Logistical-Model-tp3548239p3550003.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.