Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to highlight outliers in a boxplot in R?
To highlight outliers in a boxplot, we can create the boxplot with the help of Boxplot function of car package by defining the id.method.
For example, if we have a vector called V then the boxplot of V with highlighted outliers can be created by using the below given command −
Boxplot(~V,id.method="y")
Example 1
To highlight outliers in a boxplot, use the command given below −
library(car) x<-c(-10,rnorm(18),10) Boxplot(~x,id.method="y") [1] "1" "20"
Output
If you execute all the above given snippets as a single program, it generates the following output −
Example 2
To highlight outliers in a boxplot, use the command given below −
grp<-rep(LETTERS[1:4],each=5) Response<-c(-5,rpois(3,1),10,-8,rpois(3,2),8,-10,rpois(3,2),10,-12,rpois(3,3),12) Boxplot(Response~grp,id.method="y") [1] "1" "5" "6" "10" "11" "15" "16" "20"
Warning message
In Boxplot.default(mf[[response]], x, id = list(method = id.method, −
NAs introduced by coercion
This warning message is displayed because format of the values might not be proper in Response vector but it does not make an impact on the boxplots so we can ignore it.
Output
If you execute all the above given snippets as a single program, it generates the following output −
471 Views
