How to extract statistical summary from boxplot in R?

To extract statistical summary from boxplot we can use stats function with delta operator. For example, if we have a data frame called df that contains 5 columns then the boxplot for each column can be created by using the command boxplot(df) and if we want to extract the statistical summary from this boxplot then boxplot(df)$stats can be used.

Consider the below data frame −

Example

 Live Demo

df<-data.frame(x=rnorm(20),y=rnorm(20,2,0.35),z=rnorm(20,5,0.87))
df

Output

       x            y         z
1   0.42464003   2.174201   5.867968
2  -2.26742343   2.015934   5.016444
3   0.53905022   2.030312   5.317082
4   0.45316334   2.544108   6.561526
5  -0.20622226   2.523544   5.800500
6  -1.04035346   2.159960   4.796673
7  -1.55531189   2.079003   3.412160
8  -1.49530817   2.009581   4.052736
9   0.39796949   1.575125   5.328166
10 -0.33719074   1.667450   4.302307
11 -0.02416107   2.100736   2.979569
12 -0.19110426   2.148660   4.439635
13  0.12629817   1.593884   5.854684
14 -0.89502785   1.564742   3.298984
15  0.03870768   1.791996   4.968653
16 -0.24417567   1.315945   4.748624
17  0.44633643   2.128895   4.301884
18  2.01719942   2.139194   6.006298
19 -1.23681599   1.783813   6.557920
20 -0.10166870   1.502973   4.939246

Creating boxplot for columns in df −

Example

boxplot(df)

Output

Extracting the statistical summary from boxplot of df −

Example

Summary<-boxplot(df)$stats
colnames(Summary)<-c("x","y","z")
rownames(Summary)<-c("Min","First Quartile","Median","Third Quartile","Maximum")
Summary

Output

                   x          y         z
Min            -2.2674234  1.315945  2.979569
First Quartile -0.9676907  1.630667  4.302095
Median         -0.1463865  2.023123  4.953950
Third Quartile  0.4113048  2.143927  5.827592
Maximum         2.0171994  2.544108  6.561526

Example

 Live Demo

Gender_data<-data.frame(Male=rpois(20,50),Female=rpois(20,50))
Gender_data

Output

   Male Female
1  56   34
2  48   58
3  48   55
4  50   37
5  47   53
6  56   46
7  56   50
8  48   42
9  44   37
10 59   54
11 69   44
12 53   43
13 66   43
14 42   45
15 49   54
16 45   45
17 46   45
18 42   61
19 68   46
20 60   65

Example

Summary<-boxplot(Gender_data)

Output

Extracting the statistical summary from boxplot of df −

Example

Summary<-boxplot(Gender_data)$stats
colnames(Summary)<-c("Male","Female")
rownames(Summary)<-c("Min","First Quartile","Median","Third Quartile","Maximum")
Summary

Output

               Male  Female
Min            42.0  34.0
First Quartile 46.5  43.0
Median         49.5  45.5
Third Quartile 57.5  54.0
Maximum        69.0  65.0
attr(,"class")
Male
"integer"

Updated on: 10-Feb-2021

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