Arthritis

Data from Koch &amp; Edwards (1988) from a double-blind clinical trial
 investigating a new treatment for rheumatoid arthritis.

datasets

Visualization techniques, data sets, summary and inference
procedures aimed particularly at categorical data. Special
emphasis is given to highly extensible grid graphics. The
package was package was originally inspired by the book
"Visualizing Categorical Data" by Michael Friendly and is
now the main support package for a new book,
"Discrete Data Analysis with R" by Michael Friendly and
David Meyer (2015).

David Meyer

Visualizing Categorical Data

Achim Zeileis

Kurt Hornik

Florian Gerber

Michael Friendly

Arthritis function

A data frame with 84 observations and 5 variables.<dl>
 <dt>ID</dt>
<dd>patient ID.</dd> <dt>Treatment</dt>
<dd>factor indicating treatment (Placebo, Treated).</dd> <dt>Sex</dt>
<dd>factor indicating sex (Female, Male).</dd> <dt>Age</dt>
<dd>age of patient.</dd> <dt>Improved</dt>
<dd>ordered factor indicating treatment outcome (None,
 Some, Marked).</dd> 
</dl>

Format

Arthritis Treatment Data — Arthritis

A data frame with 84 observations and 5 variables.<dl>
 <dt>ID</dt>
<dd>patient ID.</dd>

 <dt>Treatment</dt>
<dd>factor indicating treatment (Placebo, Treated).</dd>

 <dt>Sex</dt>
<dd>factor indicating sex (Female, Male).</dd>

 <dt>Age</dt>
<dd>age of patient.</dd>

 <dt>Improved</dt>
<dd>ordered factor indicating treatment outcome (None,
 Some, Marked).</dd>

 
</dl>

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Arthritis: Arthritis Treatment Data

Description

Usage

Arguments

Format

References

Examples