# How to Calculate Quartiles in R?

In this article, we will discuss how to calculate quartiles in the R programming language.

Quartiles are just special percentiles that occur after a certain percent of data has been covered.

**First quartile:**Refers to 25th percentile of the data. This depicts that 25% percent of data is under the produced value.**Second quartile:**Refers to 50th percentile of the data. This depicts that 50% percent of data is under the produced value. This is also the median of the data.**Third quartile:**Refers to the 75th percentile of the data. This predicts that 75% percent of the data is under the produced value.

To obtain the required quartiles, the quantile() function is used.

Syntax:quantile( data, probs)

Parameter:

data:data whose percentiles are to be calculatedprobs:percentile value

### Example 1: Calculate quartile in vector

## R

`x = ` `c` `(2,13,5,36,12,50) ` ` ` `res<-` `quantile` `(x, probs = ` `c` `(0,0.25,0.5,0.75,1)) ` `res` |

**Output:**

0% 25% 50% 75% 100% 2.00 6.75 12.50 30.25 50.00

### Example 2: Calculate quartile in dataframe

## R

`df<-` `data.frame` `(x = ` `c` `(2,13,5,36,12,50), ` `y = ` `c` `(` `'a'` `,` `'b'` `,` `'c'` `,` `'c'` `,` `'c'` `,` `'b'` `)) ` ` ` `res<-` `quantile` `(df$x, probs = ` `c` `(0,0.25,0.5,0.75,1)) ` `res` |

**Output:**

0% 25% 50% 75% 100% 2.00 6.75 12.50 30.25 50.00