R Dataset / Package car / Hartnagel

On this R-data statistics page, you will find information about the Hartnagel data set which pertains to Canadian Crime-Rates Time Series. The Hartnagel data set is found in the car R package. You can load the Hartnagel data set in R by issuing the following command at the console data("Hartnagel"). This will load the data into a variable called Hartnagel. If R says the Hartnagel data set is not found, you can try installing the package by issuing this command install.packages("car") and then attempt to reload the data with the library() command. 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 Hartnagel R data set. The size of this file is about 1,576 bytes.

Canadian Crime-Rates Time Series

Description

The Hartnagel data frame has 38 rows and 7 columns. The data are an annual time-series from 1931 to 1968. There are some missing data.

Usage

Hartnagel

Format

This data frame contains the following columns:

year

1931–1968.

tfr

Total fertility rate per 1000 women.

partic

Women's labor-force participation rate per 1000.

degrees

Women's post-secondary degree rate per 10,000.

fconvict

Female indictable-offense conviction rate per 100,000.

ftheft

Female theft conviction rate per 100,000.

mconvict

Male indictable-offense conviction rate per 100,000.

mtheft

Male theft conviction rate per 100,000.

Details

The post-1948 crime rates have been adjusted to account for a difference in method of recording. Some of your results will differ in the last decimal place from those in Table 14.1 of Fox (1997) due to rounding of the data. Missing values for 1950 were interpolated.

Source

Personal communication from T. Hartnagel, Department of Sociology, University of Alberta.

References

Fox, J., and Hartnagel, T. F (1979) Changing social roles and female crime in Canada: A time series analysis. Canadian Review of Sociology and Anthroplogy, 16, 96–104.

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

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

Attachments: csv, json

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