kyphosis


  The <code>kyphosis</code> data frame has 81 rows and 4 columns.
  representing data on children who have had corrective spinal surgery


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

kyphosis function

This data frame contains the following columns:
<dl>
<dt><code>Kyphosis</code></dt><dd>
a factor with levels
<code>absent</code> 
<code>present</code>
indicating if a kyphosis (a type of deformation)
was present after the operation.
</dd> <dt><code>Age</code></dt><dd>
in months
</dd> <dt><code>Number</code></dt><dd>
the number of vertebrae involved 
</dd> <dt><code>Start</code></dt><dd>
the number of the first (topmost) vertebra operated on.
</dd> </dl>

Format

John M. Chambers and Trevor J. Hastie eds. (1992)
  <em>Statistical Models in S</em>, Wadsworth and Brooks/Cole,
  Pacific Grove, CA.

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kyphosis: Data on Children who have had Corrective Spinal Surgery

Description

Usage

Arguments

Format

Source

Examples