Description Usage Format Source Examples
Data used in Exercise 1.23 and 2.79
1 |
A data frame with 16 observations on the following 3 variables.
a factor with levels Aggravated
assault
Arson
Burglary
Forcible rape
Larceny
theft
Murder
Robbery
Vehicle theft
a factor with levels 1992
and 1999
number of reported crimes
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Duxbury
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | par(mfrow = c(2, 1))
barplot(Abilene$Number[Abilene$Year=="1992"],
names.arg = Abilene$CrimeType[Abilene$Year == "1992"],
main = "1992 Crime Stats", col = "red")
barplot(Abilene$Number[Abilene$Year=="1999"],
names.arg = Abilene$CrimeType[Abilene$Year == "1999"],
main = "1999 Crime Stats", col = "blue")
par(mfrow = c(1, 1))
## Not run:
library(ggplot2)
ggplot(data = Abilene, aes(x = CrimeType, y = Number, fill = Year)) +
geom_bar(stat = "identity", position = "dodge") +
theme_bw() +
theme(axis.text.x = element_text(angle = 30, hjust = 1))
## End(Not run)
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