On this R-data statistics page, you will find information about the car.test.frame data set which pertains to Automobile Data from 'Consumer Reports' 1990. The car.test.frame data set is found in the rpart R package. You can load the car.test.frame data set in R by issuing the following command at the console data("car.test.frame"). This will load the data into a variable called car.test.frame. If R says the car.test.frame data set is not found, you can try installing the package by issuing this command install.packages("rpart") 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 car.test.frame R data set. The size of this file is about 3,502 bytes.

Automobile Data from 'Consumer Reports' 1990

Description

The car.test.frame data frame has 60 rows and 8 columns, giving data on makes of cars taken from the April, 1990 issue of Consumer Reports. This is part of a larger dataset, some columns of which are given in cu.summary.

Usage

car.test.frame

Format

This data frame contains the following columns:

Price

a numeric vector giving the list price in US dollars of a standard model

Country

of origin, a factor with levels France, Germany, Japan , Japan/USA, Korea, Mexico, Sweden and USA

Reliability

a numeric vector coded 1 to 5.

Mileage

fuel consumption miles per US gallon, as tested.

Type

a factor with levels Compact Large Medium Small Sporty Van

Weight

kerb weight in pounds.

Disp.

the engine capacity (displacement) in litres.

HP

the net horsepower of the vehicle.

Source

Consumer Reports, April, 1990, pp. 235–288 quoted in

John M. Chambers and Trevor J. Hastie eds. (1992) Statistical Models in S, Wadsworth and Brooks/Cole, Pacific Grove, CA, pp. 46–47.

See Also

car90, cu.summary

Examples

z.auto <- rpart(Mileage ~ Weight, car.test.frame)
summary(z.auto)

--

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