本文介绍了R中箱线图中的上下四分位数的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我有
X=c(20 ,18, 34, 45, 30, 51, 63, 52, 29, 36, 27, 24)
使用boxplot，我试图绘制quantile(X,0.25)和quantile(X,0.75)但这与R中的箱形图的上下四分位数并不相同
With boxplot, i'm trying to plot the quantile(X,0.25) and quantile(X,0.75)but this is not realy the same lower and upper quartiles in boxplot in R
boxplot(X)
abline(h=quantile(X,0.25),col="red",lty=2)
abline(h=quantile(X,0.75),col="red",lty=2)
你知道为什么吗?
推荐答案
该框的值称为铰链，可能与四分位数重合(由quantile(x, c(0.25, .075))计算)，但计算方式不同.
The values of the box are called hinges and may coincide with the quartiles (as calculated by quantile(x, c(0.25, .075))), but are calculated differently.
来自?boxplot.stats:
要查看这些值是否与奇数个观测值一致，请尝试以下代码:
To see that the values coincide with an odd number of observations, try the following code:
set.seed(1234)
x <- rnorm(9)
boxplot(x)
abline(h=quantile(x, c(0.25, 0.75)), col="red")
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