Create Quantiles of a Data Set in R Programming - quantile() Function

Last Updated : 15 Jul, 2025
quantile() function in R Language is used to create sample quantiles within a data set with probability[0, 1]. Such as first quantile is at 0.25[25%], second is at 0.50[50%], and third is at 0.75[75%].
Syntax: quantile(x) Parameters: x: Data set
Example 1: Python3 1== 
# R program to create
# quantiles of a data set
# Create a data frame 
d <- data.frame( name = c("Abhi", "Bhavesh", "Chaman", "Dimri"),  
                 age = c(7, 5, 9, 16),  
                 ht = c(46, NA, NA, 69), 
                 school = c("yes", "yes", "no", "no") )

# Calling quantile() Function
quantile(d$age)
Output: 
   0%   25%   50%   75%  100% 
 5.00  6.50  8.00 10.75 16.00
Example 2: Python3 1== 
# R program to create
# quantiles of a data set

# Calling pre-defined data set
BOD

# Calling quantile() Function
quantile(BOD$demand)
quantile(BOD$Time)
Output: 
  Time demand
1    1    8.3
2    2   10.3
3    3   19.0
4    4   16.0
5    5   15.6
6    7   19.8
    0%    25%    50%    75%   100% 
 8.300 11.625 15.800 18.250 19.800 
  0%  25%  50%  75% 100% 
1.00 2.25 3.50 4.75 7.00
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Article Tags:
R Language
R DataFrame-Function

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