simple <- data.frame(x = rep(1:10, each = 2))
base <- ggplot(simple, aes(x))
# By default, right = TRUE, and intervals are of the form (a, b]
base + stat_bin(binwidth = 1, drop = FALSE, right = TRUE, col = "black")
# If right = FALSE intervals are of the form [a, b)
base + stat_bin(binwidth = 1, drop = FALSE, right = FALSE, col = "black")
m <- ggplot(movies, aes(x=rating))
m + stat_bin()
m + stat_bin(binwidth=0.1)
m + stat_bin(breaks=seq(4,6, by=0.1))
# See geom_histogram for more histogram examples
# To create a unit area histogram, use aes(y = ..density..)
(linehist <- m + stat_bin(aes(y = ..density..), binwidth=0.1,
geom="line", position="identity"))
linehist + stat_density(colour="blue", fill=NA)
# Also works with categorical variables
ggplot(movies, aes(x=mpaa)) + stat_bin()
qplot(mpaa, data=movies, stat="bin")
Run the code above in your browser using DataLab