I\'m having quite the time understanding geom_bar()
and position=\"dodge\"
. I was trying to make some bar graphs illustrating two groups. Originall
I think the problem is that you want to stack within values of the num
group, and dodge between values of num
.
It might help to look at what happens when you add an outline to the bars.
library(ggplot2)
set.seed(123)
df <- data.frame(
id = 1:18,
names = rep(LETTERS[1:3], 6),
num = c(rep(1, 15), rep(2, 3)),
values = sample(1:10, 18, replace=TRUE)
)
By default, there are a lot of bars stacked - you just don't see that they're separate unless you have an outline:
# Stacked bars
ggplot(df, aes(x=factor(names), y=values, fill=factor(num))) +
geom_bar(stat="identity", colour="black")
If you dodge, you get bars that are dodged between values of num
, but there may be multiple bars within each value of num
:
# Dodged on 'num', but some overplotted bars
ggplot(df, aes(x=factor(names), y=values, fill=factor(num))) +
geom_bar(stat="identity", colour="black", position="dodge", alpha=0.1)
If you also add id
as a grouping var, it'll dodge all of them:
# Dodging with unique 'id' as the grouping var
ggplot(df, aes(x=factor(names), y=values, fill=factor(num), group=factor(id))) +
geom_bar(stat="identity", colour="black", position="dodge", alpha=0.1)
I think what you want is to both dodge and stack, but you can't do both. So the best thing is to summarize the data yourself.
library(plyr)
df2 <- ddply(df, c("names", "num"), summarise, values = sum(values))
ggplot(df2, aes(x=factor(names), y=values, fill=factor(num))) +
geom_bar(stat="identity", colour="black", position="dodge")