Description Usage Format References Examples
The data frame TIRE
has the stopping distances measured to the nearest foot for a standard sized car to come to a complete stop from a speed of sixty miles per hour. There are six measurements of the stopping distance for four different tread patterns labeled A, B, C, and D. The same driver and car were used for all twentyfour measurements.
1 
A data frame with 24 observations on the following 3 variables:
stopdist
(stopping distance measured to the nearest foot)
tire
(a factor with levels A
, B
, C
, and D
)
order
(order the experiment was conducted)
Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. Chapman & Hall / CRC.
1 2 3 4 5 6 7 8 9 10  ggplot(data = TIRE, aes(x = reorder(tire, stopdist, FUN = median), y = stopdist,
fill = tire)) + geom_boxplot() + guides(fill = "none") +
labs(y = "Stopping distance in feet", x = "Tire Brand") + scale_fill_brewer()
summary(aov(stopdist ~ tire, data = TIRE))
p < ggplot(data = TIRE, aes(x = reorder(tire, stopdist, FUN = mean),
y = stopdist, fill = tire))
p + geom_boxplot(width = 0.6) + geom_dotplot(binaxis = "y", stackdir = "center",
binwidth = 2) + guides(fill = "none") + scale_fill_brewer() +
stat_summary(fun = mean, geom = "point", fill = "black", shape = 23, size = 3) +
labs(x = "Tire Brand", y = "Stopping distance in feet")

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