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# How to Calculate Quartiles in R?

• Last Updated : 19 Dec, 2021

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 calculated
• probs: percentile value

## 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 ```

## 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 ```
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