# Divide a Vector into Ranges in R Programming – cut() Function

`cut()` function in R Language is used to divide a numeric vector into different ranges.

Syntax:
cut.default(x, breaks, labels = NULL, include.lowest = FALSE, right = TRUE, dig.lab = 3)

Parameters:
x: Numeric Vector
break: break points of the vector
labels: labels for levels
include.lowest: Boolean value to include lowest break value
right: Boolean value to close interval on the right
dig.lab: Used when labels are not provided

Example 1:

 `# R program to divide vector into ranges ` ` `  `# Generating a vector with random numbers  ` `y <``-` `rnorm(``100``)  ` `   `  `# the output factor is created by the division  ` `# of the range of variables into pi / 3*(-3:3)  ` `# 4 equal-length intervals  ` `table(cut(y, breaks ``=` `pi ``/` `3``*``(``-``3``:``3``)))  `

Output:

```(-3.14, -2.09] (-2.09, -1.05]     (-1.05, 0]      (0, 1.05]   (1.05, 2.09]
0            12            33            40            12
(2.09, 3.14]
2
```

Example 2:

 `# R program to divide vector into ranges ` ` `  `# Creating vectors  ` `age <``-` `c(``40``, ``49``, ``48``, ``40``, ``67``, ``52``, ``53``)    ` `salary <``-` `c(``103200``, ``106200``, ``150200``, ``10606``, ``10390``, ``14070``, ``10220``)  ` `gender <``-` `c(``"male"``, ``"male"``, ``"transgender"``,  ` `            ``"female"``, ``"male"``, ``"female"``, ``"transgender"``)  ` `   `  `# Creating data frame named employee  ` `employee<``-` `data.frame(age, salary, gender)    ` `   `  `# Creating a factor corresponding to age with labels  ` `wfact ``=` `cut(employee\$age, ``3``, labels ``=` `c(``'Young'``, ``'Medium'``, ``'Aged'``))  ` `table(wfact)  `

Output:

```wfact
Young Medium   Aged
4      2      1
```

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