I'm making a few functions to generate latex files describing rpart objects that are then \input-ed into a larger document. So far, the functions I have generate paragraphs containing enumerations of the predictors in pruned trees and the number of formed groups. Its easy enough to recover these. For instance, R> print ( tree ) n= 878 node), split, n, loss, yval, (yprob) * denotes terminal node 1) root 878 110 Absent (0.8747153 0.1252847) 2) P3XMAR2=No 845 96 Absent (0.8863905 0.1136095) * 3) P3XMAR2=Yes 33 14 Absent (0.5757576 0.4242424) 6) PADV=Yes 7 0 Absent (1.0000000 0.0000000) * 7) PADV=No 26 12 Present (0.4615385 0.5384615) 14) ACPS=No 12 5 Absent (0.5833333 0.4166667) * 15) ACPS=Yes 14 5 Present (0.3571429 0.6428571) * R> varsInTree <- as.vector ( + tree $ frame $ var [ tree $ frame $ var %nin% "<leaf>"] # %nin% from Hmisc + ) R> varsInTree [1] "P3XMAR2" "PADV" "ACPS" R> nGroupsInTree <- sum ( tree $ frame $ var == "<leaf>" ) R> nGroupsInTree [1] 4 R> What i havent been successful at so far is generating an enumerated list of the groups formed. I wanted to do something similar to the print.rpart but instead of enumerating nested lists I wanted a description of the terminal nodes. For instance, from the tree shown above i wanted to generate something like The resultant model separated sampled respondents into 4 groups. These groups (and predicted values) included respondents having \begin{inparaenum}[(a)] \item P3XMAR2=No (Absent); \item P3XMAR2=Yes and PADV=Yes (Absent); \item P3XMAR2=Yes and PADV=No and ACPS=No (Absent); and \item P3XMAR2=Yes and PADV=No and ACPS=Yes (Present); \end{inparaenum} So far, I've just generated placeholders for the \items and then i edit them by hand. Does anyone have advice on recovering the formed groups? -- David