如何在R的直方图中突出显示观察点的bin [英] How do I highlight an observation's bin in a histogram in R

问题描述

我想从多个观测值创建直方图(即d <-c(1,2.1,3.4,4.5))，然后突出显示特定观测值所在的bin，这样我就得到了输出看起来像这样:

I want to create a histogram from a number of observations (i.e. d <- c(1,2.1,3.4,4.5) ) and then highlight the bin that a particular observation falls in, such that I have an output that looks like this:

如何在R中执行此操作?

how do I do this in R?

推荐答案

下面是扩展危险统计的答案的一个小函数，它将自动查找哪个bin包含要突出显示的值:

Expanding on dangerstat's answer, here is a little function that will automatically find which bin contains the value that you want to highlight:

highlight <- function(x, value, col.value, col=NA, ...){
   hst <- hist(x, ...)
   idx <- findInterval(value, hst$breaks)
   cols <- rep(col, length(hst$counts))
   cols[idx] <- col.value
   hist(x, col=cols, ...)
}

现在

x <- rnorm(100)
highlight(x, 1.2, "red")

将以红色突出显示其中带有1.2的垃圾箱.

will highlight the bin with 1.2 in it in red.

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