Multinomial Logistical Model
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.