R: Repeat Victimization Data

RepVict

R Documentation

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")

Format

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

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

data("RepVict")

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