You may also want to cut the data frame into an arbitrary number of smaller dataframes. Here, we cut into two dataframes.

```
x = data.frame(num = 1:26, let = letters, LET = LETTERS)
set.seed(10)
split(x, sample(rep(1:2, 13)))
```

gives

```
$`1`
num let LET
3 3 c C
6 6 f F
10 10 j J
12 12 l L
14 14 n N
15 15 o O
17 17 q Q
18 18 r R
20 20 t T
21 21 u U
22 22 v V
23 23 w W
26 26 z Z
$`2`
num let LET
1 1 a A
2 2 b B
4 4 d D
5 5 e E
7 7 g G
8 8 h H
9 9 i I
11 11 k K
13 13 m M
16 16 p P
19 19 s S
24 24 x X
25 25 y Y
```

You can also split a data frame based upon an existing column. For example, to create three data frames based on the `cyl`

column in `mtcars`

:

```
split(mtcars,mtcars$cyl)
```