在 ggplot 之外预先计算您需要的数量是最简单的,因为很难跟踪 ggplot 计算的内容以及这些数量的存储和可用位置。
首先,总结一下你的数据:
library(dplyr)
library(ggplot2)
mtcars %>%
count(cyl = factor(cyl), gear = factor(gear)) %>%
mutate(pct = prop.table(n))
#> # A tibble: 8 x 4
#> cyl gear n pct
#> <fct> <fct> <int> <dbl>
#> 1 4 3 1 0.0312
#> 2 4 4 8 0.25
#> 3 4 5 2 0.0625
#> 4 6 3 2 0.0625
#> 5 6 4 4 0.125
#> 6 6 5 1 0.0312
#> 7 8 3 12 0.375
#> 8 8 5 2 0.0625
如果你愿意,可以保存,或者直接输入 ggplot:
mtcars %>%
count(cyl = factor(cyl), gear = factor(gear)) %>%
mutate(pct = prop.table(n)) %>%
ggplot(aes(x = cyl, y = pct, fill = gear, label = scales::percent(pct))) +
geom_col(position = 'dodge') +
geom_text(position = position_dodge(width = .9), # move to center of bars
vjust = -0.5, # nudge above top of bar
size = 3) +
scale_y_continuous(labels = scales::percent)
如果你真的想把它全部保留在 ggplot 内部,你可以使用 geom_text 和 stat = 'count'(或者 stat_count 和 geom = "text",如果你愿意的话):
ggplot(data = mtcars, aes(x = factor(cyl),
y = prop.table(stat(count)),
fill = factor(gear),
label = scales::percent(prop.table(stat(count))))) +
geom_bar(position = "dodge") +
geom_text(stat = 'count',
position = position_dodge(.9),
vjust = -0.5,
size = 3) +
scale_y_continuous(labels = scales::percent) +
labs(x = 'cyl', y = 'pct', fill = 'gear')
绘制完全相同的东西。