Histograms are meant for continuous random variables. They estimate the underlying density distribution. Instead, you see to have discrete ... ... <看更多>

hist (mtcars$mpg, breaks=12, col="red",. xlab="Miles Per Gallon",. main="Colored histogram with 12 bins"). # with rug plot and frame. ... <看更多>

plot of chunk hist-bins-1. Set the number of bins. ## length.out = number of bins + 1 set the number of bins to 10 hist(iris$Sepal. ... <看更多>

r. Just as an example I'm using iris data. I have a histogram, which is nice, but the distribution is weird, and I'd like to see what the bars represent:. ... <看更多>