search for: treeresponse

...to using 64bit R), I get an error. For simplicity I will show the error I get for the example in the party documentation: ### survival analysis if (require("ipred")) { data("GBSG2", package = "ipred") GBSG2ct <- ctree(Surv(time, cens) ~ .,data = GBSG2) plot(GBSG2ct) treeresponse(GBSG2ct, newdata = GBSG2[1:2,]) } for the plot(GBSG2ct) line I get the following error: Error in Summary.Surv(c(1814, 2018, 712, 1807, 772, 448, 2172, 2161, 471, : Invalid operation on a survival time and for treeresponse(GBSG2ct, newdata = GBSG2[1:2,]) I get this error: Error: extends(class(...

Hello, This is a re-submittal of question I submitted last week, but haven't rec'd any responses. I need to extract the probabilities used to construct the barplots displayed as part of the graph produced by plot("ctree"). For example, library(party) iris.ct <- ctree(Species ~ . , data = iris) plot(iris.ct) Instead of a simple example with only 4 terminal nodes, my

...nity, I am plot the ROC curve for randomforest result, I am not sure the above code is right or not? I just used the second column of the probabilities, the pr(outcome=1). Can anyone give some comments? **************************** someguys use the following codes to plot, but I can not use the treeresponse commad in randomforest object directly. # create model using random forest and bagging ensemble using conditional inference trees 035 x.cf <- cforest(Class ~ ., data=BreastCancer[ind == 1,], control = cforest_unbiased(mtry = ncol(BreastCancer)-2)) 036 x.cf.pred <- predict(x.cf, newdat...

Dear all, I was intrigued by the ctree command and wanted to check it out. I first ran the demo with example(ctree) and did get the survival graphs in the end. Upon doing this with my own data and yielding a "Invalid operation on a survival time" I tried to rerun example(ctree) and now I also get "Invalid operation on a survival time" after the example runs plot(GBSG2ct)...

Hi, I am working on a regression tree in Rpart that uses a continuous response variable that is ordered. I read a previous response by Pfr. Ripley to a inquiry regarding the ability of rpart to handle ordinal responses in 2003. At that time rpart was unable to implement an algorithm to handle ordinal responses. Has there been any effort to rectify this in recent years? Thanks! Stacey On

Hi All, i've got a problem using the ctree function of the party package. I've searched around a lot but couldn't manage it. I've got an ordered factor as response. As far as i know i have to use scores to be able to use this ordered factor. But if i do so i get a tree which predicts all observations as the first level of my ordered factor. In order to test if i did anything

Hi, I am new to R and am using the ctree() function to do customer segmentation. I am using the following code to generate the tree: treedata$Response<-factor(treedata$Conversion) fit<-ctree(Response ~ .,controls=ctree_control(mincriterion=0.99,maxdepth=4),data=treedata) plot(fit) print(fit) The variable "Response" above equals 1 if the customer responded to an offering and