I have a dataframe d
:
> head(d,20)
groupchange Symscore3
1 4 1
2 4 2
3 4 1
4 4 2
5 5 0
6 5 0
7 5 0
8 4 0
9 2 2
10 5 0
11 5 0
12 5 1
13 5 0
14 4 1
15 5 1
16 1 0
17 4 0
18 1 1
19 5 0
20 4 0
That I am plotting with:
ggplot(d, aes(groupchange, y=..count../sum(..count..), fill=Symscore3)) +
geom_bar(position = "dodge")
In this way each bar represents its percentage on the whole data.
Instead I would like that each bar represents a relative percentage; i.e. the sum of the bar in obtained with groupchange = k
should be 1
.
First summarise and transform your data:
library(dplyr)
d2 <- d %>%
group_by(groupchange, Symscore3) %>%
summarise(count = n()) %>%
mutate(perc = count/sum(count))
Then you can plot it:
ggplot(d2, aes(x = factor(groupchange), y = perc*100, fill = factor(Symscore3))) +
geom_bar(stat="identity", width = 0.7) +
labs(x = "Groupchange", y = "percent", fill = "Symscore") +
theme_minimal(base_size = 14)
this gives:
Alternatively, you can use the percent
function from the scales
package:
brks <- c(0, 0.25, 0.5, 0.75, 1)
ggplot(d2, aes(x = factor(groupchange), y = perc, fill = factor(Symscore3))) +
geom_bar(stat="identity", width = 0.7) +
scale_y_continuous(breaks = brks, labels = scales::percent(brks)) +
labs(x = "Groupchange", y = NULL, fill = "Symscore") +
theme_minimal(base_size = 14)
which gives: