car.test.frame: Automobile Data from 'Consumer Reports' 1990

Description Usage Format Source See Also Examples

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

1

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

1
2
z.auto <- rpart(Mileage ~ Weight, car.test.frame)
summary(z.auto)

Example output

Call:
rpart(formula = Mileage ~ Weight, data = car.test.frame)
  n= 60 

          CP nsplit rel error    xerror       xstd
1 0.59534912      0 1.0000000 1.0407662 0.18068376
2 0.13452819      1 0.4046509 0.5641499 0.10359738
3 0.01282843      2 0.2701227 0.3962112 0.07100687
4 0.01000000      3 0.2572943 0.4046730 0.07088353

Variable importance
Weight 
   100 

Node number 1: 60 observations,    complexity param=0.5953491
  mean=24.58333, MSE=22.57639 
  left son=2 (45 obs) right son=3 (15 obs)
  Primary splits:
      Weight < 2567.5 to the right, improve=0.5953491, (0 missing)

Node number 2: 45 observations,    complexity param=0.1345282
  mean=22.46667, MSE=8.026667 
  left son=4 (22 obs) right son=5 (23 obs)
  Primary splits:
      Weight < 3087.5 to the right, improve=0.5045118, (0 missing)

Node number 3: 15 observations
  mean=30.93333, MSE=12.46222 

Node number 4: 22 observations
  mean=20.40909, MSE=2.78719 

Node number 5: 23 observations,    complexity param=0.01282843
  mean=24.43478, MSE=5.115312 
  left son=10 (15 obs) right son=11 (8 obs)
  Primary splits:
      Weight < 2747.5 to the right, improve=0.1476996, (0 missing)

Node number 10: 15 observations
  mean=23.8, MSE=4.026667 

Node number 11: 8 observations
  mean=25.625, MSE=4.984375 

rpart documentation built on May 1, 2019, 11:16 p.m.