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vcd (version 1.1-1)

RepVict: Repeat Victimization Data

Description

Data from Reiss (1980) given by Fienberg (1980) about instances of repeat victimization for households in the U.S. National Crime Survey.

Usage

data("RepVict")

Arguments

format

A 2-dimensional array resulting from cross-tabulating victimization. The variables and their levels are as follows:

rll{ No Name Levels 1 First Victimization Rape, Assault, Robbery, Pickpocket, Personal Larceny, Burglary, Household Larceny, Auto Theft 2 Second Victimization Rape, Assault, Robbery, Pickpocket, Personal Larceny, Burglary, Household Larceny, Auto Theft }

source

Michael Friendly (2000), Visualizing Categorical Data, page 113.

References

S. E. Fienberg (1980), The Analysis of Cross-Classified Categorical Data, MIT Press, Cambridge, 2nd edition.

A. J. J. Reiss (1980), Victim proneness by type of crime in repeat victimization. In S. E. Fienberg & A. J. J. Reiss (eds.), Indicators of Crime and Criminal Justice. U.S. Government Printing Office, Washington, DC.

M. Friendly (2000), Visualizing Categorical Data. SAS Institute, Cary, NC.

Examples

Run this code
data("RepVict")

mosaic(RepVict[-c(4,7),-c(4,7)], gp = shading_max,
       main = "Repeat Victimization Data")

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