resample: Consistent Random Samples and Permutations

In gdata: Various R Programming Tools for Data Manipulation

Consistent Random Samples and Permutations

Description

Take 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 [e-mail]

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))

gdata documentation built on Oct. 17, 2023, 1:11 a.m.