The ctree function (package party) provides a method for running conditional inference trees. Plotting results of ctree returns a binary map of the tree and for each terminal node a barplot of the probabilities of the response categories.
For example: iris.ct <- ctree(Species ~ . , data = iris) plot(iris.ct) My dataset consists of 8 levels for a categorical response variable and I can run the model with as many as 37 predictors. Due to the number of classes in the response and the number of predictors, the plot returned compresses the barplots such that they are not interpretable, only one label is shown and the individual bars are not visible. How can I extract the terminal node probabilities that are used for each of the terminal nodes ? Using Windows XP, R 2.11.1 Thanks Steve Steve Friedman Ph. D. Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 steve_fried...@nps.gov Office (305) 224 - 4282 Fax (305) 224 - 4147 ______________________________________________ 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.
