BrokenMarriage

Data from the Danish Welfare Study about broken marriages or permanent
 relationships depending on gender and social rank.

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

BrokenMarriage function

A data frame with 20 observations and 4 variables.<dl>
 <dt>Freq</dt>
<dd>frequency.</dd> <dt>gender</dt>
<dd>factor indicating gender (male, female).</dd> <dt>rank</dt>
<dd>factor indicating social rank (I, II, III, IV, V).</dd> <dt>broken</dt>
<dd>factor indicating whether the marriage or permanent
 relationship was broken (yes, no).</dd> 
</dl>

Format

Broken Marriage Data — BrokenMarriage

A data frame with 20 observations and 4 variables.<dl>
 <dt>Freq</dt>
<dd>frequency.</dd>

 <dt>gender</dt>
<dd>factor indicating gender (male, female).</dd>

 <dt>rank</dt>
<dd>factor indicating social rank (I, II, III, IV, V).</dd>

 <dt>broken</dt>
<dd>factor indicating whether the marriage or permanent
 relationship was broken (yes, no).</dd>

 
</dl>

BrokenMarriage: Broken Marriage Data

Description

Usage

Arguments

Format

References

Examples