R: Consistent Random Samples and Permutations

resample {gdata} | R Documentation

## Consistent Random Samples and Permutations

### Description

`resample` takes a sample of the specified size from the elements of `x` using either with or without replacement.

### Usage

    resample(x, size, replace = FALSE, prob = NULL)

### Arguments

`x` | A numeric, complex, character or logical vector from which to choose.
`size` | Non-negative integer giving the number of items to choose.
`replace` | Should sampling be with replacement?
`prob` | A vector of probability weights for obtaining the elements of the vector being sampled.

### Details

`resample` differs from the S/R `sample` function in `resample` always considers `x` to be a vector of elements to select from, while `sample` treats a vector of length one as a special case and samples from `1:x`. Otherwise, the functions have identical behavior.

### Value

Vector of the same length as the input, with the elements permuted.

### Author(s)

Gregory R. Warnes greg@warnes.net

### See Also

`sample`

### Examples

    ## sample behavior differs if first argument is scalar vs vector
    sample( c(10) )
    sample( c(10,10) )

    ## resample has the consistent behavior for both cases
    resample( c(10) )
    resample( c(10,10) )

[Package gdata version 2.18.0 Index]