Edit:
The easier solution to get hjust
/vjust
to behave intelligently is to add the group
aesthetic to geom_text
and then hjust
& position
adjust for the group
automatically.
1. Vertical Orientation
ggplot(data) +
geom_bar(
aes(x = name, y = count, fill = week, group = week),
stat='identity', position = 'dodge'
) +
geom_text(
aes(x = name, y = count, label = count, group = week),
position = position_dodge(width = 1),
vjust = -0.5, size = 2
) +
theme_bw()
This gives:
![enter image description here](https://i.stack.imgur.com/AHd6z.png)
2. Horizontal Orientation
ggplot(data) +
geom_bar(
aes(x = name, y = count, fill = week, group = week),
stat='identity', position = 'dodge'
) +
geom_text(
aes(x = name, y = count, label = count, group = week),
hjust = -0.5, size = 2,
position = position_dodge(width = 1),
inherit.aes = TRUE
) +
coord_flip() +
theme_bw()
This gives:
![enter image description here](https://i.stack.imgur.com/1TORa.png)
This is not necessarily the most general way to do this, but you can have a fill
dependent hjust
(or vjust
, depending on the orientation) variable. It is not entirely clear to me how to select the value of the adjustment parameter, and currently it is based on what looks right. Perhaps someone else can suggest a more general way of picking this parameter value.
1. Vertical Orientation
library(dplyr)
library(ggplot2)
# generate some data
data = data_frame(
week = as.factor(rep(c(1, 2), times = 5)),
name = as.factor(rep(LETTERS[1:5], times = 2)),
count = rpois(n = 10, lambda = 20),
hjust = if_else(week == 1, 5, -5),
vjust = if_else(week == 1, 3.5, -3.5)
)
# Horizontal
ggplot(data) +
geom_bar(
aes(x = name, y = count, fill = week, group = week),
stat='identity', position = 'dodge'
) +
geom_text(
aes(x = name, y = count, label = count, vjust = vjust),
hjust = -0.5, size = 2,
inherit.aes = TRUE
) +
coord_flip() +
theme_bw()
Here is what that looks like:
![enter image description here](https://i.stack.imgur.com/aEnP5.png)
2. Horizontal Orientation
ggplot(data) +
geom_bar(
aes(x = name, y = count, fill = week, group = week),
stat='identity', position = 'dodge'
) +
geom_text(
aes(x = name, y = count, label = count, vjust = vjust),
hjust = -0.5, size = 2,
inherit.aes = TRUE
) +
coord_flip() +
theme_bw()
Here is what that looks like:
![enter image description here](https://i.stack.imgur.com/0gZli.png)