try: alltrees <- predict(logicfit)
coldeyes wrote: > > thanks for you response, i try predict command, it is doesn't work. i > list a simulate code below: > > X <- matrix(as.numeric(runif(400) < 0.5), 50,8) > colnames(X) <- paste("X", 1:ncol(X), sep="") > rownames(X) <- paste("case", 1:nrow(X), sep="") > > # Define expected result: Y = (NOT X2) AND X6 > Y <- as.numeric(!X[,2] & X[,6]) > > Z<-cbin(X,Y) > > set.seed(12345) > > Annealing <- logreg.anneal.control(start = 4, end = -4, iter = 1000, > update = 50) > > logicfit <- logreg(resp=Z[,9], bin=Z[,1:8], > type = 3, > select = 2, > ntrees=2, > nleaves=3, > anneal.control=Annealing) > > new<-data.frame(Z) > new<-NULL > alltrees <- predict(logicfit, new) > > names(logicfit) > > doesn't have coef class. > > thanks > > > > > Yasir Kaheil wrote: >> >> 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-tp17310610p17328322.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.