strokePatients

This dataset, analyzed by Bishop and Fienberg (1969) and
Bishop, Fienberg and Holland (1975, Section 5.2), describes 121
patients treated for stroke at Massachusetts General Hospital. Each
patient's symptoms of physical disability were graded on a five-point
scale upon admission and again upon discharge. Because patients
were not released if their symptoms got worse, the second score
is always equal to or better than the first score, and cells in the
two-way table above the diagonal may be regarded as structural
zeros.

 datasets

Extends R's implementation of categorical variables (factors)
to handle coarsened observations; implements log-linear models for
coarsened categorical data, including latent-class models. Detailed
information and examples are provided in the package vignettes.

Joseph Schafer

cvam

Coarsened Variable Modeling

strokePatients function

a data frame with 15 rows and 3 variables:
<dl> <dt><code>Initial</code></dt>
<dd>severity of disability upon admission to the
 hospital. An ordered factor with levels 
 <code>"A"</code> (least severe), <code>"B"</code>, <code>"C"</code>, <code>"D"</code>, and
 <code>"E"</code> (most severe)</dd>
 <dt><code>Final</code></dt>
<dd>severity of disability upon discharge, with
 same levels as <code>Initial</code></dd>
 <dt><code>N</code></dt>
<dd>frequency in sample</dd>
</dl>

Format

Stroke Patient Data — strokePatients

a data frame with 15 rows and 3 variables:
<dl>

 <dt><code>Initial</code></dt>
<dd>severity of disability upon admission to the
 hospital. An ordered factor with levels 
 <code>"A"</code> (least severe), <code>"B"</code>, <code>"C"</code>, <code>"D"</code>, and
 <code>"E"</code> (most severe)</dd>
 

 <dt><code>Final</code></dt>
<dd>severity of disability upon discharge, with
 same levels as <code>Initial</code></dd>


 <dt><code>N</code></dt>
<dd>frequency in sample</dd>


</dl>

strokePatients: Stroke Patient Data

Description

Usage

Arguments

Format