The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973--74 models).
mtcars
A data frame with 32 observations on 11 (numeric) variables.
[, 1] | mpg | Miles/(US) gallon |
[, 2] | cyl | Number of cylinders |
[, 3] | disp | Displacement (cu.in.) |
[, 4] | hp | Gross horsepower |
[, 5] | drat | Rear axle ratio |
[, 6] | wt | Weight (1000 lbs) |
[, 7] | qsec | 1/4 mile time |
[, 8] | vs | Engine (0 = V-shaped, 1 = straight) |
[, 9] | am | Transmission (0 = automatic, 1 = manual) |
[,10] | gear | Number of forward gears |
# NOT RUN {
require(graphics)
pairs(mtcars, main = "mtcars data", gap = 1/4)
coplot(mpg ~ disp | as.factor(cyl), data = mtcars,
panel = panel.smooth, rows = 1)
## possibly more meaningful, e.g., for summary() or bivariate plots:
mtcars2 <- within(mtcars, {
vs <- factor(vs, labels = c("V", "S"))
am <- factor(am, labels = c("automatic", "manual"))
cyl <- ordered(cyl)
gear <- ordered(gear)
carb <- ordered(carb)
})
summary(mtcars2)
# }
Run the code above in your browser using DataLab