Suppose I have following dataset:
set.seed(seed=10)
n <- 10000
s.data <- data.frame(score = rnorm(n,500,100),
gender = sample(c("Male","Female"),size=n,replace=T,prob=c(.4,.6)),
major = sample(c("A","B","C","D"),size=n,replace=T,prob=c(.02,.25,.05,.68)))
I create following histogram:
require(ggplot2)
ggplot(s.data, aes(x=score)) + facet_wrap(~ major) +
geom_histogram(binwidth=50,colour="black", fill="white")
Since I want more details about major A and C, I plot a density histogram:
ggplot(s.data, aes(x=score)) + facet_wrap(~ major) +
geom_histogram(binwidth=50,aes(y = ..density..),colour="black", fill="white")
Perfect till this point.
When I try to do same thing with a categorical variable (instead of a continuous one), I can able to do frequencies but cannot able to plot density:
ggplot(s.data, aes(gender)) +
geom_histogram(colour="black", fill="white") +
facet_wrap(~ major)
As I wanted.
But I flunk with this graph:
ggplot(s.data, aes(gender)) +
geom_histogram(aes(y = ..density..),colour="black", fill="white") +
facet_wrap(~ major)
Any ideas? Thanks in advance.
