ggplot2 - 使用position = dodge注释(标记)geom_boxplot

时间:2014-04-27 23:24:38

标签: r ggplot2 annotations label

当使用填充美学(或在x轴处避开样品)时,我无法在箱线图附近添加标签(本例中的样本大小)。

它适用于最常用的数据集(mtcars)和示例

library(ggplot2)

fun_length <- function(x){
  return(data.frame(y=median(x),label= paste0("n=", length(x))))
}

ggplot(mtcars, aes(factor(cyl), mpg)) +
  geom_boxplot() +
  stat_summary(aes(x = factor(cyl)),
               fun.data = fun_length, geom = "text",
               vjust = +1, size = 4)

enter image description here

library(plyr)
ddply(mtcars, .(cyl), summarise, label = length(mpg))

  cyl label
1   4    11
2   6     7
3   8    14

但是我无法为此版本添加相同的标签,现在显示每个vs级别的样本大小。

ggplot(mtcars, aes(factor(cyl), mpg)) +
  geom_boxplot(aes(fill = factor(vs))) +
  stat_summary(aes(x=factor(cyl)),
               fun.data = fun_length, geom = "text")

ddply(mtcars, .(cyl, vs), summarise, label = length(mpg))

  cyl vs label
1   4  0     1
2   4  1    10
3   6  0     3
4   6  1     4
5   8  0    14

enter image description here

欢迎任何帮助。提前谢谢。

2 个答案:

答案 0 :(得分:3)

ggplot(mtcars, aes(factor(cyl), mpg)) +
  geom_boxplot(aes(fill = factor(vs)), position=position_dodge(.9)) +
  stat_summary(aes(x=factor(cyl), fill = factor(vs)), position=position_dodge(.9),
               fun.data = fun_length, geom = "text",
               vjust = +1, size = 4)

enter image description here

答案 1 :(得分:2)

这应该有效 - 将vs移至ggplot调用,然后您不需要aes中的stat_summary并添加position_dodge(演示文稿)

ggplot(mtcars, aes(factor(cyl), mpg, fill = factor(vs))) +
  geom_boxplot(position=position_dodge(width=0.9)) +
  stat_summary( fun.data = fun_length, geom = "text", 
                      position=position_dodge(width=0.9), vjust=2)