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Editorial Team
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Asked: 2026-06-16T23:23:20+00:00

Here is my example data: set.seed(1234) myd <- data.frame (SN = 1:100, myv =

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Here is my example data: 

set.seed(1234)
myd <- data.frame (SN = 1:100, myv = round (rnorm(100, 5, 5), 2))
boxplot(myd$myv, col = "lightgreen")

I want to highlight the portion of the boxplot that falls within the confidence interval between 4.5 to 8.2. Also I want to display how datapoints that do not fall in the confidence interval (> 8.2 and less than 4.5). The output would like this:

enter image description here

I just need to achieve this goal. ggplot2 or other package solution are welcome.

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1 Answer

  1. Editorial Team

    I do not get that plot but you can adjust to the differences.

    > boxplot(myd$myv, col = "lightgreen", ylim=c(-10,18))s

    One way to get transparent colors is extract the RGB values from a named color with col2rgb and then pass back to rgb with appropriately scaled values:

    > col2rgb("purple")
#      [,1]
#red    160
#green   32
#blue   240
> rect(0.7, 4.5, 1.3, 8.2, col= rgb( red=160/255, green=32/255, blu=240/255, 0.4) )

    Need to construct a logical vector that can select the point values and also be the basis for “counting” the number of such values for the points function:

    > points(x=rep(1, sum( myd$myv > 8.2 | myd$myv < 4.5 )), 
         y= myd$myv[   myd$myv > 8.2 | myd$myv < 4.5 ] , 
         col="orange", pch=19, bg="orange")

    Built to your specs … :enter image description here

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