belection

The number of candidates in the British general election in 1992

datasets

Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth.

Peter K Dunn

GLMsData

Generalized Linear Model Data Sets

belection function

A data frame with 55 observations on the following 4 variables.<dl>
 <dt><code>Region</code></dt>
<dd>the region; 
 a factor with levels <code>EastAnglia</code>, 
 <code>EastMidlands</code>, <code>GreaterLondon</code>, 
 <code>NorthWest</code>, <code>Scotland</code>, <code>SouthEast</code>, 
 <code>SouthWest</code>, <code>Wales</code>, <code>WestMidlands</code> 
 and <code>YorksHumbers</code></dd> <dt><code>Party</code></dt>
<dd>the political party; 
 a factor with levels <code>Cons</code>, <code>Green</code>, 
 <code>Labour</code>, <code>LibDem</code> and <code>Other</code></dd> <dt><code>Females</code></dt>
<dd>the number of female candidates; 
 a numeric vector</dd> <dt><code>Males</code></dt>
<dd>the number of male candidates; 
 a numeric vector</dd> 
</dl>

Format

British election candidates — belection

A data frame with 55 observations on the following 4 variables.<dl>
 <dt><code>Region</code></dt>
<dd>the region; 
 a factor with levels <code>EastAnglia</code>, 
 <code>EastMidlands</code>, <code>GreaterLondon</code>, 
 <code>NorthWest</code>, <code>Scotland</code>, <code>SouthEast</code>, 
 <code>SouthWest</code>, <code>Wales</code>, <code>WestMidlands</code> 
 and <code>YorksHumbers</code></dd>

 <dt><code>Party</code></dt>
<dd>the political party; 
 a factor with levels <code>Cons</code>, <code>Green</code>, 
 <code>Labour</code>, <code>LibDem</code> and <code>Other</code></dd>

 <dt><code>Females</code></dt>
<dd>the number of female candidates; 
 a numeric vector</dd>

 <dt><code>Males</code></dt>
<dd>the number of male candidates; 
 a numeric vector</dd>

 
</dl>

belection: British election candidates

Description

Usage

Arguments

Format

Details

References

Examples