R Dataset / Package boot / bigcity

On this R-data statistics page, you will find information about the bigcity data set which pertains to Population of U.S. Cities. The bigcity data set is found in the boot R package. You can load the bigcity data set in R by issuing the following command at the console data("bigcity"). This will load the data into a variable called bigcity. If R says the bigcity data set is not found, you can try installing the package by issuing this command install.packages("boot") 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 bigcity R data set. The size of this file is about 334 bytes.

Population of U.S. Cities

Description

The bigcity data frame has 49 rows and 2 columns.

The city data frame has 10 rows and 2 columns.

The measurements are the population (in 1000's) of 49 U.S. cities in 1920 and 1930. The 49 cities are a random sample taken from the 196 largest cities in 1920. The city data frame consists of the first 10 observations in bigcity.

Usage

bigcity

Format

This data frame contains the following columns:

u

The 1920 population.

x

The 1930 population.

Source

The data were obtained from

Cochran, W.G. (1977) Sampling Techniques. Third edition. John Wiley

References

Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.

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

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