ggplot2 - 在最小/最大的Boxplot威士忌

问题描述

在ggplot2中，我希望将胡须延伸到数据集的最小值和最大值，并且不显示异常值。我发现了隐藏异常值的方法，但是我一直无法让晶须延伸到每个群组的最小值和最大值。

In ggplot2, I would like to have the whiskers extend to the min and max values for a data set and not show the outliers. I've found the method to hide the outliers but I have been unable to get the whiskers to extend to the min and max for each group.

a <- data.frame(group = "a", value = rnorm(10))
b <- data.frame(group = "b", value = rnorm(100))
c <- data.frame(group = "c", value = rnorm(1000))

data <- rbind(a, b, c)

ggplot(data, aes(x=group, y=value)) +
  stat_boxplot(geom ='errorbar') +
  geom_boxplot() #geom_boxplot(outlier.shape = NA)

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问：设置ggplot2盒图的正确方法是什么让胡须延伸到最小和最大值？

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Q: What is the correct way to setup ggplot2 boxplots so that the whiskers extend to the min and max?

推荐答案

按照LJW的评论，我认为这是你想要的：

Following LJW's comment I think this is what you want:

a <- data.frame(group = "a", value = rnorm(10))
b <- data.frame(group = "b", value = rnorm(100))
c <- data.frame(group = "c", value = rnorm(1000))

data <- rbind(a, b, c)

o <- function(x) {
  subset(x, x == max(x) | x == min(x))
}

f <- function(x) {
  r <- quantile(x, probs = c(0.00, 0.25, 0.5, 0.75, 1))
  names(r) <- c("ymin", "lower", "middle", "upper", "ymax")
  r
}

ggplot(data, aes(x=group, y=value)) +
  stat_summary(fun.data=f, geom="boxplot") +
  stat_summary(fun.y = o, geom="point") +
  stat_boxplot(geom='errorbar',coef=10) #just give an arbitrarily big number here

更新
您可以在stat_boxplot函数中添加coef参数的胡须：

UPDATEYou can add the whiskers with the coef argument in the stat_boxplot function:

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