R Dataset / Package car / Ericksen

On this R-data statistics page, you will find information about the Ericksen data set which pertains to The 1980 U.S. Census Undercount. The Ericksen data set is found in the car R package. You can load the Ericksen data set in R by issuing the following command at the console data("Ericksen"). This will load the data into a variable called Ericksen. If R says the Ericksen 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 Ericksen R data set. The size of this file is about 3,425 bytes.

The 1980 U.S. Census Undercount

Description

The Ericksen data frame has 66 rows and 9 columns. The observations are 16 large cities, the remaining parts of the states in which these cities are located, and the other U. S. states.

Usage

Ericksen

Format

This data frame contains the following columns:

minority

Percentage black or Hispanic.

crime

Rate of serious crimes per 1000 population.

poverty

Percentage poor.

language

Percentage having difficulty speaking or writing English.

highschool

Percentage age 25 or older who had not finished highschool.

housing

Percentage of housing in small, multiunit buildings.

city

A factor with levels: city, major city; state, state or state-remainder.

conventional

Percentage of households counted by conventional personal enumeration.

undercount

Preliminary estimate of percentage undercount.

Source

Ericksen, E. P., Kadane, J. B. and Tukey, J. W. (1989) Adjusting the 1980 Census of Population and Housing. Journal of the American Statistical Association 84, 927–944 [Tables 7 and 8].

References

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

Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.

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

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