Beatriz,
In this case, use the car package and run the following:
> bp <- Boxplot(DATA$ave, data= DATA, main= "Average Size", labels=DATA$num,
> Id.method=c("y"))
This will print out the labels 211 & 225 beside the outlier points. As you can
see, the instruction assigns the values in the num c
zález Domínguez
Cc: r-help-ow...@r-project.org ; R Help 1 ; R Help 2
Subject: Re: [R] Boxplot Labels OK
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=
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 Gonzá
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of John Kane
> Sent: Tuesday, April 09, 2013 10:45 AM
> To: Beatriz González Domínguez; R Help; r-help@r-project.org
> Subject: Re: [R] Boxplot Labels
>
> p <- boxplot(dat1$ave, data= da
Hello,
The construct data.frame(cbind(...)) is not at all needed, the following
is much better.
dat1 <- data.frame(num, ave)
Also, I've modified the text() call a bit, in order to have R tell the
dat1$num corresponding to the (unique) max of ave, and with an extra
argument, pos. This would
p <- boxplot(dat1$ave, data= dat1, main= "Average Size", yaxt = "n")
text(1.1, , y = max(dat1$ave), label = "26", cex = .7)
but I don't understand
#I would like the labels that appear in the boxplot to be DATA$num values.
You want 26 values potted?
John Kane
Kingston ON Canada
> ---
Estimada Beatriz,
If you use the Box.plot function in the car package (notice that here it's
Box.plot, not box.plot), and add the argument id.method=c("identify"), it
should work.
You only need one instruction:
R> library(car)
R> bp <- Boxplot(DATA$ave, data= DATA, main= "Average
Size",id.meth
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