Indy500 {BSDA} | R Documentation |

Data for Exercises 7.11 and 7.36

Indy500

A data frame/tibble with 33 observations on four variables

- driver
a character variable with values

`andretti`

,`bachelart`

,`boesel`

,`brayton`

,`c.guerrero`

,`cheever`

,`fabi`

,`fernandez`

,`ferran`

,`fittipaldi`

,`fox`

,`goodyear`

,`gordon`

,`gugelmin`

,`herta`

,`james`

,`johansson`

,`jones`

,`lazier`

,`luyendyk`

,`matsuda`

,`matsushita`

,`pruett`

,`r.guerrero`

,`rahal`

,`ribeiro`

,`salazar`

,`sharp`

,`sullivan`

,`tracy`

,`vasser`

,`villeneuve`

, and`zampedri`

- qualif
qualifying speed (in mph)

- starts
number of Indianapolis 500 starts

- group
a numeric vector where 1 indicates the driver has 4 or fewer Indianapolis 500 starts and a 2 for drivers with 5 or more Indianapolis 500 starts

Kitchens, L. J. (2003) *Basic Statistics and Data Analysis*.
Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

stripchart(qualif ~ group, data = Indy500, method = "stack", pch = 19, col = c("red", "blue")) boxplot(qualif ~ group, data = Indy500) t.test(qualif ~ group, data = Indy500) ## Not run: library(ggplot2) ggplot2::ggplot(data = Indy500, aes(sample = qualif)) + geom_qq() + facet_grid(group ~ .) + theme_bw() ## End(Not run)

[Package *BSDA* version 1.2.0 Index]