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krlmlr / wrswoR

A package with different implementations of weighted random sampling without replacement in R
https://krlmlr.github.io/wrswoR
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wrswoR

Lifecycle: stable R build status Codecov test coverage CRAN status

The goal of wrswoR is to provide faster implementations of weighted random sampling without replacement in R.

Installation

You can install the released version of wrswoR from CRAN with:

install.packages("wrswoR")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("krlmlr/wrswoR")

Example

The functions in this package are a drop-in replacement to sample.int(n, size, replace = FALSE, prob = prob). With large n, sample.int() becomes too slow to be practical, unlike the functions in this package.

library(wrswoR)
set.seed(20200726)

sample_int_crank(20, 10, 1:20)
#>  [1]  8 18 14 17 11 15 10  4 13  5