1. Please read and follow the posting guide below. Your post does not meet the guidelines.
2. Search before posting! e.g. on rseek.org: "Regression trees survival analysis" in which you will find: https://cran.r-project.org/web/views/MachineLearning.html -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Jun 13, 2017 at 6:02 AM, Dimitrie Siriopol via R-help <r-help@r-project.org> wrote: > I am trying to use the CART in a survival analysis. I have three variables of > interest (all 3 ordinal - x, y and z, each of them with 5 categories) from > which I want to make smaller groups (just an example 1st category from X > variable with the 2nd and 3rd categories from the Y category and 2, 3 and 4 > categories from the Z category etc) based on their, let's say, association > with mortality. > Now I would also want that this analysis to be adjusted for a number of > variables (that I don't want to incorporate in the decision tree, just to > take them into consideration in the relationship between the 3 variables and > the outcome; I would also want to mention that for this confounders I have > missing values - how should this be deal with?), this survival analysis to be > stratified and also to use clusters. > I have tried party and rpart packages, but I don't seem to get how to > properly do what I want. > Thank you > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
