Again, really appreciate your help on this. Thanks, Achim. -Preetam On Tue, May 3, 2016 at 3:22 AM, Achim Zeileis <achim.zeil...@uibk.ac.at> wrote:
> On Mon, 2 May 2016, Preetam Pal wrote: > > Great, thank you so much Achim.But one issue, in case I do not know how >> many >> terminal nodes would be there, what do I do? Note that I do not need the >> datasets corresponding to the intermediate nodes only need the terminal >> datasets. >> > > With predict(ct, type = "node") you can set up a new variable, e.g., > > iris$node <- factor(predict(ct, type = "node")) > > and then use this to obtain the subset corresponding to each of the > terminal nodes. > > > Regards, >> Preetam >> >> On Tue, May 3, 2016 at 3:08 AM, Achim Zeileis <achim.zeil...@uibk.ac.at> >> wrote: >> On Mon, 2 May 2016, Preetam Pal wrote: >> >> Hi guys, >> >> If I am applying ctree() on a data (specifying some >> control parameters like >> maxdepth), is there a way I can programmatically >> access the (smaller) >> datasets corresponding to the terminal nodes in the >> tree? Say, if there are >> 7 terminal nodes, I need those 7 datasets (of >> course, I can look at the >> respective node-splitting attributes and write out a >> filtering function - >> but clearly too much to ask for if I have a large >> number of terminal >> nodes). Intention is to perform regression on each >> of these terminal >> datasets. >> >> >> If you use the "partykit" implementation you can do: >> >> library("partykit") >> ct <- ctree(Species ~ ., data = iris) >> data_party(ct, id = 6) >> >> to obtain the data associated with node 6 for example. You can >> also use ct[6] to obtain the subtree and ct[6]$data for its >> associated data. >> >> For setting up a factor with the terminal node IDs, you can also >> use predict(ct, type = "node") and then use that in lm() etc. >> >> Finally, note that there is also lmtree() and glmtree() for >> trees with (generalized) linear models in their nodes. >> >> Regards, >> Preetam >> >> -- >> Preetam Pal >> (+91)-9432212774 >> M-Stat 2nd Year, >> Room No. N-114 >> Statistics Division, >> C.V.Raman >> Hall >> Indian Statistical Institute, >> B.H.O.S. >> Kolkata. >> >> [[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. >> >> >> >> >> -- >> Preetam Pal >> (+91)-9432212774 >> M-Stat 2nd Year, Room No. >> N-114 >> Statistics Division, C.V.Raman >> HallIndian Statistical Institute, B.H.O.S. >> Kolkata. >> >> -- Preetam Pal (+91)-9432212774 M-Stat 2nd Year, Room No. N-114 Statistics Division, C.V.Raman Hall Indian Statistical Institute, B.H.O.S. Kolkata. [[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.