README (original) (raw)
wrswoR
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 tosample.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