如何使用函数在 geom_boxplot 中放置文本

How to use a function to place text in geom_boxplot

我正在绘制一些箱线图。这是一个工作示例:

data(mtcars)

# Compute means for each group
mpgmn <- aggregate(mpg ~ cyl, mtcars, mean)
mpgmn$mpg <- round(mpgmn$mpg, 2)

# Same thing for 50th and 75th %tiles
mpglims <- mtcars %>% group_by(cyl) %>% 
        summarize(q50 = quantile(mpg, probs = 0.50), 
                  q75 = quantile(mpg, probs = 0.75))

# Plot
library(ggplot2)
g <- ggplot(mtcars, aes(x = as.factor(cyl), y = mpg, 
     fill = as.factor(cyl)))
g <- g + geom_boxplot()
g <- g + stat_summary(fun = mean, color = "white", geom = "point", 
     shape = 18, size = 3, show.legend = FALSE)
g <- g + geom_text(data = mpgmn, 
     aes(label = paste("mean = ", mpg),
     y = mpg + 0.5), color = "white")
g

所有这些都有效。但是,我想使用我计算的 mpglims(对我来说看起来是正确的)将白色文本放置在每个箱线图中(即,而不是当前的垂直位置参数:y = mpg + 0.05) .有没有办法告诉 R 选择我为每个组计算的垂直位置的两个值之间的中间点?

最简单的方法可能是在 mpglims:

的创建中再添加一个变量
mpglims <- mtcars %>% group_by(cyl) %>% 
        summarize(q50 = quantile(mpg, probs = 0.50), 
                  q75 = quantile(mpg, probs = 0.75),
                  mid = (q50 + q75)/ 2)

geom_text() 调用的 y = mid 中使用 mid

如果你想使用你在第一个数据帧 mpgmn 中计算的结果,让你自己更容易一点并将其添加到 mpglims,以及:

mpglims <- mtcars %>% group_by(cyl) %>% 
        summarize(q50 = quantile(mpg, probs = 0.50), 
                  q75 = quantile(mpg, probs = 0.75),
                  mid = (q50 + q75)/ 2,
                  mmpg = mean(mpg) %>% round(., digits = 2))

它创建的内容与您的 aggregate() 调用相同。看看:

mpglims[, 5] %>% unlist()
# mmpg1 mmpg2 mmpg3 
# 26.66 19.74 15.10 

把 Kat 已经提供的所有信息(这个答案应该是公认的)和 OP 放在一起,这是一种可能的 tidyverse 方式:

library(tidyverse)

mtcars %>% 
  select(cyl, mpg) %>% 
  group_by(cyl = as.factor(cyl)) %>% 
  mutate(mpg_mean = round(mean(mpg, na.rm = TRUE),2)) %>% 
  mutate(q50 = quantile(mpg, probs = 0.50), 
         q75 = quantile(mpg, probs = 0.75)) %>% 
  mutate(mid = (q50 + q75)/ 2) %>%
  ggplot(aes(x = cyl,  y = mpg, fill = cyl)) +
  geom_boxplot() +
  stat_summary(fun = mean, color = "white", geom = "point", 
               shape = 18, size = 3, show.legend = FALSE) +
  geom_text(aes(label = paste("mean = ", mpg_mean),
                y = mid), color = "white")