# igraph.sample

From igraph v0.4.4
by Gabor Csardi

##### Sampling a random integer sequence

This function provides a very efficient way to pull an integer random sample sequence from an integer interval.

- Keywords
- datagen

##### Usage

`igraph.sample(low, high, length)`

##### Arguments

- low
- The lower limit of the interval (inclusive).
- high
- The higher limit of the interval (inclusive).
- length
- The length of the sample.

##### Details

The algorithm runs in `O(length)`

expected time, even if
`high-low`

is big. It is much faster (but of course less general)
than the builtin `sample`

function of R.

##### Value

- An increasing numeric vector containing integers, the sample.

##### References

Jeffrey Scott Vitter: An Efficient Algorithm for Sequential
Random Sampling, *ACM Transactions on Mathematical Software*, 13/1,
58--67.

##### Examples

```
rs <- igraph.sample(1, 100000000, 10)
rs
```

*Documentation reproduced from package igraph, version 0.4.4, License: GPL version 2 or later (June, 1991)*

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