NonResponse

Data about non-response for a Danish survey in 1965.

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

NonResponse function

A data frame with 12 observations and 4 variables.<dl>
 <dt>Freq</dt>
<dd>frequency.</dd> <dt>residence</dt>
<dd>factor indicating whether residence was in
 Copenhagen, in a city outside Copenhagen or at the countryside
 (Copenhagen, City, Country).</dd> <dt>response</dt>
<dd>factor indicating whether a response was given (yes,
 no).</dd> <dt>gender</dt>
<dd>factor indicating gender (male, female).</dd> 
</dl>

Format

Non-Response Survey Data — NonResponse

A data frame with 12 observations and 4 variables.<dl>
 <dt>Freq</dt>
<dd>frequency.</dd>

 <dt>residence</dt>
<dd>factor indicating whether residence was in
 Copenhagen, in a city outside Copenhagen or at the countryside
 (Copenhagen, City, Country).</dd>

 <dt>response</dt>
<dd>factor indicating whether a response was given (yes,
 no).</dd>

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

 
</dl>

NonResponse: Non-Response Survey Data

Description

Usage

Arguments

Format

References

Examples