Aliases: mtcars
Keywords: datasets
### ** Examples 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)
mpg cyl disp hp drat Min. :10.40 4:11 Min. : 71.1 Min. : 52.0 Min. :2.760 1st Qu.:15.43 6: 7 1st Qu.:120.8 1st Qu.: 96.5 1st Qu.:3.080 Median :19.20 8:14 Median :196.3 Median :123.0 Median :3.695 Mean :20.09 Mean :230.7 Mean :146.7 Mean :3.597 3rd Qu.:22.80 3rd Qu.:326.0 3rd Qu.:180.0 3rd Qu.:3.920 Max. :33.90 Max. :472.0 Max. :335.0 Max. :4.930 wt qsec vs am gear carb Min. :1.513 Min. :14.50 V:18 automatic:19 3:15 1: 7 1st Qu.:2.581 1st Qu.:16.89 S:14 manual :13 4:12 2:10 Median :3.325 Median :17.71 5: 5 3: 3 Mean :3.217 Mean :17.85 4:10 3rd Qu.:3.610 3rd Qu.:18.90 6: 1 Max. :5.424 Max. :22.90 8: 1