try alltrees <- predict(fit, model.dat2) # make sure response variable is not included in model.dat2
also to see the other attributes in "fit", try: attributes(fit) thanks y coldeyes.Rhelp wrote: > > Hi All: > > how to get the coefficient for logic regression using selection=2 ( fit > multiple models) and type=3 ( logistic regression) > for example i have a fit like below : > fit<-logreg(resp = model.dat[,21], bin=model.dat[, > 2:18],sep=model.dat[,1] ,type=3,select=2,ntrees=2,nleaves=6 > ,anneal.control=Annealing,tree.control=TreeControl) > > i try to use fit$coef but i get nothing. > > and i try to use eval.logreg to evaluate a validate data "model.dat2", > but i cannot fit "model" class make below formula work > alltrees <- eval.logreg(fit$model , model.dat2) > > could anyone enlighten me a little. > thanks > leo > > ______________________________________________ > 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. > > ----- Yasir H. Kaheil Catchment Research Facility The University of Western Ontario -- View this message in context: http://www.nabble.com/question-for-Logic-Regression-tp17310610p17311081.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.
