I have data as follows:
library(ggplot2)
library(dplyr)
library(tidyverse)
library(ggsignif)
graph <- structure(list(Constraint = structure(c(4L, 2L, 3L, 1L, 5L, 4L,
2L, 3L, 1L, 5L), .Label = c("Major Constraint", "Minor Constraint",
"Moderate Constraint", "No Constraint", "Total"), class = "factor"),
`Observation for Crime = 0` = c(3124, 2484, 3511, 4646, 13765,
3124, 2484, 3511, 4646, 13765), `Observation for Crime = 1` = c(762,
629, 1118, 1677, 4186, 762, 629, 1118, 1677, 4186), `Total Observations` = c(3886,
3113, 4629, 6323, 17951, 3886, 3113, 4629, 6323, 17951),
variable = structure(c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L), .Label = c("Crime = 0", "Crime = 1"), class = "factor"),
value = c(80.3911477097272, 79.79441053646, 75.847915316483,
73.4777795350308, 76.6809648487549, 19.6088522902728, 20.20558946354,
24.152084683517, 26.5222204649692, 23.3190351512451)), row.names = c(NA,
-10L), class = "data.frame")
Constraint Observation for Crime = 0 Observation for Crime = 1 Total Observations variable value
1 No Constraint 3124 762 3886 Crime = 0 80.39115
2 Minor Constraint 2484 629 3113 Crime = 0 79.79441
3 Moderate Constraint 3511 1118 4629 Crime = 0 75.84792
4 Major Constraint 4646 1677 6323 Crime = 0 73.47778
5 Total 13765 4186 17951 Crime = 0 76.68096
6 No Constraint 3124 762 3886 Crime = 1 19.60885
7 Minor Constraint 2484 629 3113 Crime = 1 20.20559
8 Moderate Constraint 3511 1118 4629 Crime = 1 24.15208
9 Major Constraint 4646 1677 6323 Crime = 1 26.52222
10 Total 13765 4186 17951 Crime = 1 23.31904
graph %>%
mutate(`Constraint` = fct_relevel(`Constraint`, "No Constraint", "Minor Constraint", "Moderate Constraint", "Major Constraint")) %>%
ggplot(aes(x = `Constraint`, y = value)) +
geom_col(position = 'dodge', aes(fill = variable)) +
geom_text(position = position_dodge(width = .9), # move to center of bars
aes(label=sprintf("%.02f %%", round(value, digits = 1))),
vjust = -2.5, # nudge above top of bar
hjust = - 0.2,
size = 4) +
geom_text(position = position_dodge(width = .9), # move to center of bars
aes(label=`Observation for Crime = 0`),
vjust = -0.6, # nudge above top of bar
hjust = - 0.2,
size = 4) +
scale_fill_grey(start = 0.8, end = 0.5) +
ylab("Percentage") +
xlab("Tax Constraint") +
theme_bw(base_size = 15)
Resulting in:
The following is not working out:
A) Although the percentages are in the middle for the dark grey bars, they are not for the light grey bars. Apparently I somehow made geom_text apply to the middle of the two bars, instead of the bars separately.
B) I would like to add the amount of observations in parentheses below the percentages, but I cannot figure out how to make sure that the dark grey and light grey bars take the observations from different columns.
Could anyone tell me what I am doing wrong?

