Interactive tools for generating random samples. Users select an .xlsx, .csv, or delimited .txt file with population data and are walked through selecting the sample type (Simple Random Sample or Stratified), the number of backups desired, and a "stratify_on" value (if desired). The sample size is determined using a normal approximation to the hypergeometric distribution based on Nicholson (1956) <doi:10.1214/aoms/1177728270>. An .xlsx file is created with the sample and key metadata for reference. It is menu-driven and lets users pick an output directory. See vignettes for a detailed walk-through.
Version: | 0.9.6.2 |
Depends: | R (≥ 3.5.0) |
Imports: | data.table, magrittr, openxlsx, dplyr, purrr, tools, utils, bit64 |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2021-05-13 |
DOI: | 10.32614/CRAN.package.whSample |
Author: | Paul West [aut, cre] |
Maintainer: | Paul West <fp8049 at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | whSample results |
Reference manual: | whSample.pdf |
Vignettes: |
Creating samples with sampler Determining sample sizes with ssize |
Package source: | whSample_0.9.6.2.tar.gz |
Windows binaries: | r-devel: whSample_0.9.6.2.zip, r-release: whSample_0.9.6.2.zip, r-oldrel: whSample_0.9.6.2.zip |
macOS binaries: | r-release (arm64): whSample_0.9.6.2.tgz, r-oldrel (arm64): whSample_0.9.6.2.tgz, r-release (x86_64): whSample_0.9.6.2.tgz, r-oldrel (x86_64): whSample_0.9.6.2.tgz |
Old sources: | whSample archive |
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