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

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%].**quantile()**

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