I'm trying to label the bars with geom_text. It works in most cases with position_dodge, but for some cases I get plots that look like this. I use preserve = 'single' to get around the wide bars, but the respective geom_text does not move to match the bar. I've made it work with position_dodge2() but I like how the bars are aligned in position_dodge all the way to the left in this case.
ggplot(mtcars, aes(factor(cyl), fill = factor(vs)))
geom_bar(aes(y = ..count..), stat = 'count', position = position_dodge(preserve = 'single'))
geom_text(aes(label = ..count..), stat = 'count', position = position_dodge(width = 1))
The "14" on factor 8 is aligned to the middle instead of to the left. Is there a simple fix to this?
If I switch to position_dodge2 and use preserve = 'single' it works, but the bar is centered on the x axis. In position_dodge the bar is left aligned and the missing value is right aligned. If there is a way to use position_dodge2 without sacrificing alignment that would work as well.
CodePudding user response:
I don't love this, but one possibility is to enumerate the possibilities with tidyr::complete so that any missing ones get an NA, which will plot with the spacing you want:
library(tidyverse)
mtcars %>%
count(cyl = factor(cyl), vs = factor(vs)) %>%
complete(cyl, vs) %>% # creates "8 cyl / 1 vs / NA n" row
ggplot(aes(cyl, n, fill = vs))
geom_col(position = position_dodge(preserve = 'single'))
geom_text(aes(label = n), position = position_dodge(width = 1))
CodePudding user response:
You could do it manually like this:
ggplot(mtcars, aes(cyl, fill = factor(vs)))
geom_bar(aes(y = ..count..), stat = 'count', position = position_dodge(preserve = 'single'))
# geom_text(aes(label = ..count..), stat = 'count', position = position_dodge(width = 1))
geom_text(aes(x=5.5, label="4.5", y=4), colour="#376795", text=element_text(size=11))
geom_text(aes(x=6.5, label="4", y=5), colour="#376795", text=element_text(size=11))
geom_text(aes(x=3.5, label="1", y=3), colour="#376795", text=element_text(size=11))
geom_text(aes(x=4.5, label="10", y=11), colour="#376795", text=element_text(size=11))
geom_text(aes(x=7.5, label="14", y=15), colour="#376795", text=element_text(size=11))
But you would have to leave the cyl as a double. This is not like an efficient method that is generalizable but it gets the job done for this ask.




