Hello,
The answers you had in another thread could lead you to
bp <- boxplot(DATA$ave, data= DATA, main= "Average Size")
idx <- which(DATA$ave %in% bp$out)
text(x= bp$group, y= bp$out, labels= DATA$num[idx], cex = 0.7, pos = 4)
Hope this helps,
Rui Barradas
Em 09-04-2013 17:31, Beatriz González Domínguez escreveu:
Dear all,
I have just sent an enquiry but probably I hadn’t expressed myself properly.
Could anyone help me with the following?
When I run the code on my data I get a boxplot with outliers identified by numbers
200 & 201.
However, what I would like is to label these outliers with their corresponding
“DATA$num� values of the data frame.
In this example, the outliers should be labelled as: 211 & 225
Do you have any idea of how I could do this?
Please, if you need any more details just get in touch.
Many thanks in advance!
## R CODE
#DATA
num <- as.numeric(200:225)
ave <- c(0.5, 1, 1.6, 2, 2, 2.3, 2.5, 2.4, 3, 3.2, 3.3, 7.2, 4, 4.8, 3.5, 2.7,
3.1, 2.8, 4.1, 2.0, 2.5, 2.1, 3.4, 2.5, 2.6, 7)
DATA <- data.frame(cbind(num, ave))
rm(num, ave)
#BOXPLOT
x11()
bp <- boxplot(DATA$ave, data= DATA, main= "Average Size")
identify(x= bp$group, y= bp$out, labels= DATA$num, cex = 0.7)
Bea
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and provide commented, minimal, self-contained, reproducible code.
