prostate


  Data to examine the correlation between the level of prostate-specific
  antigen and a number of clinical measures in men who were about to 
  receive a radical prostatectomy.


datasets

Engines for cross-validation of many types of regression and class prediction models are provided. These engines include built-in support for 'glmnet', 'lars', 'plus', 'MASS', 'rpart', 'C50' and 'randomforest'. It is easy for the user to add other regression or classification algorithms. The 'parallel' package is used to improve speed. Several data generation algorithms for problems in regression and classification are provided.

A.I. McLeod

gencve

General Cross Validation Engine

prostate function

A data frame with 97 observations on the following 10 variables.
  <dl>
    <dt>lcavol</dt><dd>log cancer volume</dd> <dt>lweight</dt><dd>log prostate weight</dd> <dt>age</dt><dd>in years</dd> <dt>lbph</dt><dd>log of the amount of benign prostatic hyperplasia</dd> <dt>svi</dt><dd>seminal vesicle invasion</dd> <dt>lcp</dt><dd>log of capsular penetration</dd> <dt>gleason</dt><dd>a numeric vector</dd> <dt>pgg45</dt><dd>percent of Gleason score 4 or 5</dd> <dt>lpsa</dt><dd>response</dd> </dl> 

Format

Stamey, T., Kabalin, J., McNeal, J., Johnstone, I.,
    Freiha, F., Redwine, E. and Yang, N (1989) Prostate specific antigen
    in the diagnosis and treatment of adenocarcinoma of the prostate
    II. Radical prostatectomy treted patients, Journall of Urology 16: 1076--1083.

prostate: Prostate Cancer Data

Description

Usage

Arguments

Format

Source

Examples