search for: ctreeobj

Hello, I plotted a nice tree with "ctree" . It shows 3 nodes with the prediction of my 2 groups. (see picture) Unfortunately I need a larger scale to read the exact prediction of my groups to get the specificity and sensitivity. I tried to change the scale with "axis" but it didn't work, my guess because it's not a normal graph with x and y axis. Has someone an idea

I try tu use mob() with my data.frame ('data.frame': 288 obs. of 81 variables; factors, numerics and ordered factors) My response is a binary variable and I should use for modelling a logistic regression (family=binomial). I read in the "MOB" Vignette that I could use a formula like this if I would like to have only partitioning variables apart from the response.

...simple, > > tt<-party:::prettytree(cf at ensemble[[1]], names(cf at data at > get("input"))) >> npt <- new("BinaryTree") >> npt at tree<-tt >> plot(npt) > Error in terminal_panel(<S4 object of class "BinaryTree">) : > ?ctreeobj? is not a regression tree library("party") cf <- cforest(Species ~ ., data = iris) pt <- party:::prettytree(cf at ensemble[[1]], names(cf at data@get("input"))) pt nt <- new("BinaryTree") nt at tree <- pt nt at data <- cf at data nt at responses <- c...