I'm trying to use facet_grid to produce several plots where each plot's percentage labels add to 100%.
In the image provided, the percentages labels add to 49% (first facet) and 51% (second facet).
I've seen this Question where the solution is to aggregate the data outside ggplot. I'd rather not do that, I believe this is a better approach.
library("ggplot2")
library("scales")
set.seed(123)
df <- data.frame(x = rnorm(10000, mean = 100, sd = 50))
df$factor_variable <- cut(df$x, right = TRUE,
breaks = c(0, 25, 50, 100, 200, 10000),
labels = c("0 - 25", "26 - 50", "51 - 100", "101 - 200", "> 200")
)
df$second_factor_variable <- ifelse(df$x < 100, 1, 2)
df <- sample(df, x > 0)
table(df$second_factor_variable)
p1 <- ggplot(df, aes(x = factor_variable, y = (..count..)/sum(..count..), ymax = 0.8))
p1 <- p1 + geom_bar(fill = "deepskyblue3", width=.5)
p1 <- p1 + stat_bin(geom = "text",
aes(label = paste(round((..count..)/sum(..count..)*100), "%")),
vjust = -1, color = "grey30", size = 6)
p1 <- p1 + xlab(NULL) + ylab(NULL)
p1 <- p1 + scale_y_continuous(label = percent_format())
p1 <- p1 + xlim("0 - 25", "26 - 50", "51 - 100", "101 - 200", "> 200")
p1 <- p1 + facet_grid(. ~ second_factor_variable)
print(p1)
