# cut_interval

From ggplot2 v2.2.0
by Hadley Wickham

##### Discretise numeric data into categorical

`cut_interval`

makes `n`

groups with equal range, `cut_number`

makes `n`

groups with (approximately) equal numbers of observations;
`cut_width`

makes groups of width `width`

.

##### Usage

```
cut_interval(x, n = NULL, length = NULL, ...)
cut_number(x, n = NULL, ...)
cut_width(x, width, center = NULL, boundary = NULL, closed = c("right", "left"))
```

##### Arguments

- x
- numeric vector
- n
- number of intervals to create, OR
- length
- length of each interval
- ...
- other arguments passed on to
`cut`

- width
- The bin width.
- center, boundary
- Specify either the position of edge or the center of
a bin. Since all bins are aligned, specifying the position of a single bin
(which doesn't need to be in the range of the data) affects the location of
all bins. If not specified, uses the "tile layers algorithm", and sets
the boundary to half of the binwidth.
To center on integers,

`width = 1`

and`center = 0`

.`boundary = 0.5`

. - closed
- One of
`"right"`

or`"left"`

indicating whether right or left edges of bins are included in the bin.

##### See Also

##### Examples

```
table(cut_interval(1:100, 10))
table(cut_interval(1:100, 11))
table(cut_number(runif(1000), 10))
table(cut_width(runif(1000), 0.1))
table(cut_width(runif(1000), 0.1, boundary = 0))
table(cut_width(runif(1000), 0.1, center = 0))
```

*Documentation reproduced from package ggplot2, version 2.2.0, License: GPL-2 | file LICENSE*

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