r - ggplot2中的四分位距

Question

set.seed(42)
DF <- data.frame(bias=rnorm(2700),cnd=1:27)
DF$cnd <- factor(DF$cnd)

试图了解 ggplot 中中值的使用。我希望找到一种绘制上下四分位距的方法。但是我在任何地方都找不到“fun.data=median_hilow”的完整解释。即使我认为它正在做正确的事情。是否有关于此函数的完整文档来检查它是如何绘制 IQR 的？

library(ggplot2)
ggplot(DF,aes(x=cnd,y=bias,colour=cnd)) + 
  stat_summary(fun.data=median_hilow)

Answer 1

median_hilow 只是来自 smedian_hilow 包的 Hmisc 的包装。

来自 smean / smedian 的 Hmisc 函数组的文档。

根据@BondedDust 下面的评论，您需要事先安装 Hmisc 包。

(输入 ?smedian_hilow 和 ?median_hilow ):

A number of statistical summary functions is provided for use with summary.formula and summarize (as well as tapply and by themselves). smean.cl.normal computes 3 summary variables: the sample mean and lower and upper Gaussian confidence limits based on the t-distribution. smean.sd computes the mean and standard deviation. smean.sdl computes the mean plus or minus a constant times the standard deviation. smean.cl.boot is a very fast implementation of the basic nonparametric bootstrap for obtaining confidence limits for the population mean without assuming normality. These functions all delete NAs automatically. smedian.hilow computes the sample median and a selected pair of outer quantiles having equal tail areas.

smedian.hilow 根据置信区间计算中位数和上下四分位数。举个例子:

x <- rnorm(100)

> smedian.hilow(x, conf.int=.5)  # 25th and 75th percentiles
     Median       Lower       Upper 
 0.02036472 -0.76198947  0.71190404 

您可以查看@BondedDust 的答案，了解如何使用 ggplot2 函数实现这一点。