Data for Exercise 1.30
Weather94A data frame/tibble with 388 observations on one variable
factor with levels Extreme Temp, Flash Flood,
Fog, High Wind, Hurricane, Lighting, Other,
River Flood, Thunderstorm, Tornado, and Winter Weather
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
T1 <- xtabs(~type, data = Weather94)
T1
#> type
#> Extreme Temp Flash Flood Fog High Wind Hurricane
#> 81 59 3 12 9
#> Lightning Other River Flood Thunderstorm Tornado
#> 69 6 32 17 69
#> Winter Weather
#> 31
par(mar = c(5.1 + 2, 4.1 - 1, 4.1 - 2, 2.1))
barplot(sort(T1, decreasing = TRUE), las = 2, col = rainbow(11))
par(mar = c(5.1, 4.1, 4.1, 2.1))
if (FALSE) {
library(ggplot2)
T2 <- as.data.frame(T1)
T2
ggplot2::ggplot(data =T2, aes(x = reorder(type, Freq), y = Freq)) +
geom_bar(stat = "identity", fill = "purple") +
theme_bw() +
theme(axis.text.x = element_text(angle = 55, vjust = 0.5)) +
labs(x = "", y = "count")
}