[R] Boxplot Labels solved

[Beatriz González Domínguez]

Hi Jose,

Thanks a lot for your email!
I was told a good solution to label outliers of a boxplot with identifying 
variable values of the data frame (instead of the row names).

An example can be seen below:

## 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$ave, data= DATA, main= "Average Size")
identify(rep(1, nrow(DATA)), DATA$ave, labels=DATA$num, cex=.7)

Bea






-----Original Message----- 
From: Jose Iparraguirre
Sent: Wednesday, April 10, 2013 10:19 AM
To: Beatriz González Domínguez ; r-help-owner at r-project.org ; R Help 1 ; R 
Help 2
Subject: RE: [R] Boxplot Labels OK

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 column in the DATA 
data frame to the labels.

If you prefer the interactive option, replace id.method=c("y") with 
id.method=c("identify")

Kind regards,

José

José Iparraguirre
Chief Economist
Age UK

T 020 303 31482
E Jose.Iparraguirre at ageuk.org.uk
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-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On 
Behalf Of Beatriz González Domínguez
Sent: 09 April 2013 17:32
To: r-help-owner at r-project.org; R Help 1; R Help 2
Subject: [R] Boxplot Labels OK

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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