reader

The <code>reader</code> data contains information on the reading behaviour of women refering to a specific woman's journal.

datasets

This R-package contains examples from the book "Regression for Categorical Data", Tutz 2012, Cambridge University Press. The names of the examples refer to the chapter and the data set that is used.

Gunther Schauberger

catdata

Categorical Data

Gerhard Tutz

reader function

A data frame with 48 observations on the following 5 variables. Considering the weighting variable "Freq", there are 941 observations.<dl>
 <dt><code>RegularReader</code></dt>
<dd>Is the woman a regular reader? yes = 1, no = 0</dd> <dt><code>Working</code></dt>
<dd>Is the woman working? yes = 1, no = 0</dd> <dt><code>Age</code></dt>
<dd>Age of the woman in categories (18--29 years = 1, 30--39 = 2, 40--49 = 3)</dd> <dt><code>Education</code></dt>
<dd>Level of education. L1 = 11, L2 = 12, L3 = 13, L4 = 14</dd> <dt><code>Freq</code></dt>
<dd>Frequency of the observation</dd> 
</dl>

Format

Who is a Regular Reader? — reader

A data frame with 48 observations on the following 5 variables. Considering the weighting variable "Freq", there are 941 observations.<dl>
 <dt><code>RegularReader</code></dt>
<dd>Is the woman a regular reader? yes = 1, no = 0</dd>

 <dt><code>Working</code></dt>
<dd>Is the woman working? yes = 1, no = 0</dd>

 <dt><code>Age</code></dt>
<dd>Age of the woman in categories (18--29 years = 1, 30--39 = 2, 40--49 = 3)</dd>

 <dt><code>Education</code></dt>
<dd>Level of education. L1 = 11, L2 = 12, L3 = 13, L4 = 14</dd>

 <dt><code>Freq</code></dt>
<dd>Frequency of the observation</dd>

 
</dl>

reader: Who is a Regular Reader?

Description

Usage

Arguments

Format