I want a plot like this except that each facet sums to 100%. Right now group M is 0.05+0.25=0.30 instead of 0.20+0.80=1.00.
df <- rbind(
data.frame(gender=c(rep('M',5)), outcome=c(rep('1',4),'0')),
data.frame(gender=c(rep('F',10)), outcome=c(rep('1',7),rep('0',3)))
)
df
ggplot(df, aes(outcome)) +
geom_bar(aes(y = (..count..)/sum(..count..))) +
facet_wrap(~gender, nrow=2, ncol=1)
(Using y = ..density.. gives worse results.)
here's another way
ggplot(df, aes(outcome)) +
geom_bar(aes(y = ..count.. / sapply(PANEL, FUN=function(x) sum(count[PANEL == x])))) +
facet_wrap(~gender, nrow=2, ncol=1)
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