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How to extract the outliers of a boxplot in R?
To extract the outliers of a boxplot, we can use out function along with the boxplot function. For example, if we have a vector called X which contains some outliers then we can extract those outliers by using the command given below −
boxplot(df$X,plot=FALSE)$out
This command will not create a plot as plot is set to FALSE.
Example
Following snippet creates a sample data frame −
df=data.frame(x=rlnorm(25)) df
The following dataframe is created −
x 1 0.5699270 2 3.5812629 3 0.3507882 4 0.1400328 5 0.7239948 6 2.5494114 7 3.1243611 8 5.3207739 9 0.1672539 10 7.6235529 11 0.4950263 12 1.1713592 13 1.6590328 14 0.4404338 15 0.1354914 16 0.6192213 17 1.0878246 18 0.4084088 19 0.3980110 20 1.3915935 21 0.8679156 22 1.5447279 23 0.9476949 24 0.4036890 25 3.6822067
To create boxplot of x, add the following code to the above snippet −
df=data.frame(x=rlnorm(25)) boxplot(df$x)
Output
If you execute all the above given snippets as a single program, it generates the following output: −
To extract outliers from above boxplot, add the following code to the above snippet −
df=data.frame(x=rlnorm(25)) boxplot(df$x,plot=FALSE)$out
Output
If you execute all the above given snippets as a single program, it generates the following output: −
[1] 3.581263 5.320774 7.623553 3.682207
Updated on: 11-Nov-2021
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