Reputation: 5702
When I use following code to generate a density plot:
require(ggplot2)
set.seed(seed=10)
n <- 10000
s.data <- data.frame(score = rnorm(n,500,100),
gender = sample(c("Male","Female","No Response"),size=n,replace=T,prob=c(.4,.55,.05)),
major = sample(c("A","B","C","D"),size=n,replace=T,prob=c(.02,.25,.05,.68)))
ggplot(s.data, aes(major,..density..,fill=major,group=1)) +
geom_histogram() + facet_wrap(~ gender)
I cannot distinguish between categories of "major" by color.
What I want to get is density plot similar to this frequency plot in the sense of colors and legend:
ggplot(s.data, aes(major,fill=major)) +
geom_histogram() + facet_wrap(~ gender)
This question is following my question (here) which is already answered here.
Upvotes: 2
Views: 616
Reputation: 19823
You can still try frequency plot with facet parameter scale="free_y"
:
ggplot(s.data, aes(major,..count..,fill=major)) +
geom_histogram() + facet_wrap(~ gender, scale="free_y")
Upvotes: 1