| 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")