Predictors in one problem with a very large 4096

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Unformatted text preview: lass tree, some of the tree functions are used by the rpart methods, e.g. tree.depth. Tree methods that have not been implemented as of yet include burl.tree, cv.tree, hist.tree, rug.tree, and tile.tree. Not all of the plotting functions available for tree objects have been implemented for rpart objects. However, many can be accessed by using the as.tree function, which reformats the components of an rpart object into a tree object. The resultant value may not work for all operations, however. The tree functions ignore the method component of the result, instead they assume that if y is a factor, then classi cation was performed based on the information index, 51 otherwise, anova splitting regression was done. Thus the result of as.tree from a Poisson t will work reasonably for some plotting functions, e.g., hist.tree, but would not make sense for functions that do further computations such as burl.tree. 12 Source The software exists in two forms: a stand-alone version, which can be found in statlib in the `general' section, and an S version, also on stalib, but in the `S' section of the library. The splitting rules and other computations exist in both versions, but the S version has been enhanced with several graphics options, most of which are modeled copied actually on the tree functions. References 1 L. Breiman, J.H. Friedman, R.A. Olshen, , and C.J Stone. Classi cation and Regression Trees. Wadsworth, Belmont, Ca, 1983. 2 L.A. Clark and D. Pregibon. Tree-based models. In J.M. Chambers and T.J. Hastie, editors, Statistical Models in S, chapter 9. Wadsworth and Brooks Cole, Paci c Grove, Ca, 1992. 3 M. LeBlanc and J Crowley. Relative risk trees for censored survival data. Biometrics, 48:411 425, 1992. 4 O. Nativ, Y. Raz, H.Z. Winkler, Y. Hosaka, E.T. Boyle, T.M. Therneau, G.M. Farrow, R.P. Meyers, H. Zincke, and M.M Lieber. Prognostic value of ow cytometric nuclear DNA analysis in stage C prostate carcinoma. Surgical Forum, pages 685 687, 1988. 5 T.M. Therneau. A short introduction to recursive partitioning. Orion Technical Report 21, Stanford University, Department of Statistics, 1983. 6 T.M. Therneau, Grambsch P.M., and T.R. Fleming. Martingale based residuals for survival models. Biometrika, 77:147 160, 1990. 52...
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