R/BSDA-package.R
Bumpers.RdData for Exercise 1.73
BumpersA data frame/tibble with 23 observations on two variables
a factor with levels Buick Century,
Buick Skylark, Chevrolet Cavalier, Chevrolet Corsica,
Chevrolet Lumina, Dodge Dynasty, Dodge Monaco, Ford
Taurus, Ford Tempo, Honda Accord, Hyundai Sonata,
Mazda 626, Mitsubishi Galant, Nissan Stanza,
Oldsmobile Calais, Oldsmobile Ciere, Plymouth Acclaim,
Pontiac 6000, Pontiac Grand Am, Pontiac Sunbird,
Saturn SL2, Subaru Legacy, and Toyota Camry
total repair cost (in dollars) after crashing a car into a barrier four times while the car was traveling at 5 miles per hour
Insurance Institute of Highway Safety.
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
EDA(Bumpers$repair)
#> [1] "Bumpers$repair"
#> Size (n) Missing Minimum 1st Qu Mean Median TrMean
#> 23.000 0.000 618.000 1456.000 2122.478 2129.000 2138.143
#> 3rd Qu Max. Stdev. Var. SE Mean I.Q.R. Range
#> 3002.000 3298.000 798.457 637534.170 166.490 1546.000 2680.000
#> Kurtosis Skewness SW p-val
#> -1.140 -0.080 0.287
stripchart(Bumpers$repair, method = "stack", pch = 19, col = "blue")
library(lattice)
dotplot(car ~ repair, data = Bumpers)