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

• Last Updated : 19 Jun, 2020

`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:

 `# 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:

 `# 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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