Dyke

Observational data on a sample of 1729 individuals, cross-classified in a 2^5 table according to their sources of 
information (read newspapers, listen to the radio, do 'solid' reading, attend lectures) and whether they have
good or poor knowledge regarding cancer.  Knowledge of cancer is often treated as the response.

datasets

Provides additional data sets, methods and documentation
        to complement the vcd package for Visualizing Categorical Data
        and the gnm package for Generalized Nonlinear Models. In
        particular, vcdExtra extends mosaic, assoc and sieve plots from
        vcd to handle glm() and gnm() models and adds a 3D version in
        mosaic3d.

Michael Friendly

vcdExtra

vcd additions

Dyke function

A 5-dimensional array resulting from cross-tabulating 5 variables for 1729 observations. The variable names and their levels are: <tabular>rll</tabular>{
 No 	Name 	Levels 1	<code>Knowledge</code>	<code>"Good", "Poor"</code>2	<code>Reading</code>	<code>"No", "Yes"</code>3	<code>Radio</code>	<code>"No", "Yes"</code>4	<code>Lectures</code>	<code>"No", "Yes"</code>5	<code>Newspaper</code>	<code>"No", "Yes"</code>}

format

Fienberg, S. E. (1980).
The Analysis of Cross-Classified Categorical Data
Cambridge, MA: MIT Press, p. 85, Table 5-6.

Dyke: Sources of knowledge of cancer

Description

Usage

Arguments

format

source

References

Examples