Normalizing y-axis in histograms in R ggplot to proportion

Question

I have a very simple question causing me to bang my head on the wall.

I would like to scale the y-axis of my histogram to reflect the proportion (0 to 1) that each b

Answer 1

As of the latest and greatest ggplot2 version 3.0.0, the format has changed. Now you can wrap the y value in stat() rather than messing with .. stuff.

ggplot(mydataframe, aes(x = value)) +
  geom_histogram(aes(y = stat(count / sum(count))))

Answer 2

Note that ..ncount.. rescales to a maximum of 1.0, while ..count.. is the non scaled bin count.

ggplot(mydataframe, aes(x=value)) +
  geom_histogram(aes(y=..count../sum(..count..)))

Which gives:

Answer 3

As of ggplot2 0.9, many of the formatter functions have been moved to the scales package, including percent_format().

library(ggplot2)
library(scales)

mydataframe <- data.frame(name = c("A", "B", "C", "D"),
                          value = c(0.0000354, 0.00768, 0.00309, 0.000123))

ggplot(mydataframe) + 
  geom_histogram(aes(x = value, y = ..ncount..)) +
  scale_y_continuous(labels = percent_format())

Answer 4

I just wanted to scale the axis, to divide the y-axis by 1000, so I did:

ggplot(mydataframe, aes(x=value)) +
  geom_histogram(aes(y=..count../1000))