MissingHealthData

<p>Medical data containing both categorical variables and continuous variables,
  the latter include two variables with missing values.</p>

datasets

Categorical data analysis by AIC. The methodology is described in
Sakamoto (1992) <ISBN 978-0-7923-1429-5>.

Masami Saga

catdap

Categorical Data Analysis Program Package

MissingHealthData function

<p>A data frame with 52 observations on the following 8 variables.</p>
<p>A part of the source data was recoded according to an input example of
  original program CATDAP-02. In addition, we converted 1 into 'A' and 2 into
  'B' of symptoms data, and converted cholesterol data less than 198 into 'low'
  and the others into 'high'.</p>
<p></p><table class="table">
<tr><td>[, 1]</td><td>opthalmo.</td><td>1, 2</td><td>[, 2]</td></tr>
<tr><td>ecg</td><td></td><td>1, 2</td><td>[, 3]</td></tr>
<tr><td>symptoms</td><td></td><td>A, B</td><td>[, 4]</td></tr>
<tr><td>age</td><td></td><td>49-59</td><td>[, 5]</td></tr>
<tr><td>max.press</td><td></td><td>98-216, 300 (missing value)</td><td>[, 6]</td></tr>
<tr><td>min.press</td><td></td><td>56-120, 300 (missing value)</td><td>[, 7]</td></tr>
<tr><td>aortic.wav</td><td></td><td>6.3-10.2</td><td>[, 8]</td></tr>
</table><p></p><p></p>

Format

Health Data with Missing Values — MissingHealthData

<p>A data frame with 52 observations on the following 8 variables.</p>
<p>A part of the source data was recoded according to an input example of
  original program CATDAP-02. In addition, we converted 1 into 'A' and 2 into
  'B' of symptoms data, and converted cholesterol data less than 198 into 'low'
  and the others into 'high'.</p>
<p></p><table class='table'>
<tr><td>[, 1]</td><td>opthalmo.</td><td>1, 2</td><td>[, 2]</td></tr>
<tr><td>ecg</td><td></td><td>1, 2</td><td>[, 3]</td></tr>
<tr><td>symptoms</td><td></td><td>A, B</td><td>[, 4]</td></tr>
<tr><td>age</td><td></td><td>49-59</td><td>[, 5]</td></tr>
<tr><td>max.press</td><td></td><td>98-216, 300 (missing value)</td><td>[, 6]</td></tr>
<tr><td>min.press</td><td></td><td>56-120, 300 (missing value)</td><td>[, 7]</td></tr>
<tr><td>aortic.wav</td><td></td><td>6.3-10.2</td><td>[, 8]</td></tr>
</table>



MissingHealthData: Health Data with Missing Values

Description

Usage

Arguments

Format

[, 1]	opthalmo.	1, 2	[, 2]
ecg		1, 2	[, 3]
symptoms		A, B	[, 4]
age		49-59	[, 5]
max.press		98-216, 300 (missing value)	[, 6]
min.press		56-120, 300 (missing value)	[, 7]
aortic.wav		6.3-10.2	[, 8]