R Dataset / Package vcd / RepVict

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Correlation Coefficient

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Numerical Summaries

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Plot

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Regression

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-vcd-repvict.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-22731.csv 439 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the RepVict data set which pertains to Repeat Victimization Data. The RepVict data set is found in the vcd R package. You can load the RepVict data set in R by issuing the following command at the console data("RepVict"). This will load the data into a variable called RepVict. If R says the RepVict data set is not found, you can try installing the package by issuing this command install.packages("vcd") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the RepVict R data set. The size of this file is about 439 bytes.

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")
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Dataset imported from https://www.r-project.org.

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