Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

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")

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")

vcd

Visualizing Categorical Data

v1.4-10
GPL-2
Authors
David Meyer [aut, cre], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.