Suicide

Data from Heuer (1979) on suicide rates in West Germany classified by
 age, sex, and method of suicide.

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

Suicide function

A data frame with 306 observations and 6 variables.<dl>
 <dt>Freq</dt>
<dd>frequency of suicides.</dd> <dt>sex</dt>
<dd>factor indicating sex (male, female).</dd> <dt>method</dt>
<dd>factor indicating method used.</dd> <dt>age</dt>
<dd>age (rounded).</dd> <dt>age.group</dt>
<dd>factor. Age classified into 5 groups.</dd> <dt>method2</dt>
<dd>factor indicating method used (same as <code>method</code>
 but some levels are merged).</dd> 
</dl>

Format

Suicide Rates in Germany — Suicide

A data frame with 306 observations and 6 variables.<dl>
 <dt>Freq</dt>
<dd>frequency of suicides.</dd>

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

 <dt>method</dt>
<dd>factor indicating method used.</dd>

 <dt>age</dt>
<dd>age (rounded).</dd>

 <dt>age.group</dt>
<dd>factor. Age classified into 5 groups.</dd>

 <dt>method2</dt>
<dd>factor indicating method used (same as <code>method</code>
 but some levels are merged).</dd>

 
</dl>

Suicide: Suicide Rates in Germany

Description

Usage

Arguments

Format

References

Examples