stagec

A set of 146 patients with stage C prostate cancer, from a
  study exploring the prognostic value of flow cytometry.

datasets

Recursive partitioning for classification,
regression and survival trees.  An implementation of most of the
functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Brian Ripley

rpart

Recursive Partitioning and Regression Trees

stagec function

A data frame with 146 observations on the following 8 variables.
 <dl>
 <dt><code>pgtime</code></dt><dd>Time to progression or last follow-up (years)</dd> <dt><code>pgstat</code></dt><dd>1 = progression observed, 0 = censored</dd> <dt><code>age</code></dt><dd>age in years</dd> <dt><code>eet</code></dt><dd>early endocrine therapy, 1 = no, 2 = yes</dd> <dt><code>g2</code></dt><dd>percent of cells in G2 phase, as found by flow cytometry</dd> <dt><code>grade</code></dt><dd>grade of the tumor, Farrow system</dd> <dt><code>gleason</code></dt><dd>grade of the tumor, Gleason system</dd> <dt><code>ploidy</code></dt><dd>the ploidy status of the tumor, from flow
 cytometry. Values are diploid, tetraploid,
 and aneuploid</dd> </dl>

stagec: Stage C Prostate Cancer

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