使用stat_count时将百分比标签添加到ggplot [英] Adding percentage labels to ggplot when using stat_count

问题描述

由于某种原因，我似乎无法使用 stat_count 向ggplot添加正确的比例标签.即使我使用的是 .. prop .. ，下面的代码也会返回所有类别均显示100％的标签.我是否应该使用其他东西代替 stat_count ?

For some reason, I can't seem to be able to add correct proportion labels to a ggplot by using stat_count. The code below returns labels that display 100% for all categories, even though I'm using ..prop... Should I use something else instead of stat_count?

library(tidyverse)
diamonds %>% 
  ggplot(aes(color, fill=cut)) +
  geom_bar(position = 'fill') +
  stat_count(aes(label= scales::percent(..prop..)), 
             geom = 'text', position = position_fill(vjust = 0.5))

我知道这也可以通过在将数据输入到 ggplot (如下所示)之前计算百分比来实现，但是我有很多使用 geom_bar 的代码如果我要这样做，就需要更改所有内容.

I know this can also be accomplished by calculating the percentage before feeding the data to ggplot (like below) but I have quite a bit of code which is using geom_bar and I would need to change all of it if I were to do it this way.

diamonds %>% 
  count(color, cut) %>% 
  group_by(color) %>% 
  mutate(pct=n/sum(n)) %>% 
  ggplot(aes(color, pct, fill=cut)) +
  geom_col(position = 'fill') +
  geom_text(aes(label=scales::percent(pct)), position = position_fill(vjust=0.5))

推荐答案

如果您不想更改 geom_bar geom_label()中进行计算>部分:

You can do the calculations within geom_label(), if you don't want to change the geom_bar part:

diamonds %>% 
  ggplot(aes(color, fill=cut)) +
  geom_bar(position = 'fill') +
  geom_text(data = . %>% 
              group_by(color, cut) %>%
              tally() %>%
              mutate(p = n / sum(n)) %>%
              ungroup(),
            aes(y = p, label = scales::percent(p)),
            position = position_stack(vjust = 0.5),
            show.legend = FALSE)

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