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Determine sample sizes, draw samples, and conduct data analysis using data frames. It specifically enables you to determine simple random sample sizes, stratified sample sizes, and complex stratified sample sizes using a secondary variable such as population; draw simple random samples and stratified random samples from sampling data frames; determine which observations are missing from a random sample, missing by strata, duplicated within a dataset; and perform data analysis, including proportions, margins of error and upper and lower bounds for simple, stratified and cluster sample designs.
| Version: | 0.2.4 |
| Imports: | dplyr, tidyr, reshape, purrr |
| Published: | 2019-09-15 |
| DOI: | 10.32614/CRAN.package.sampler |
| Author: | Michael Baldassaro |
| Maintainer: | Michael Baldassaro <mbaldassaro at gmail.com> |
| BugReports: | https://github.com/mbaldassaro/sampler/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/mbaldassaro/sampler |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | sampler results |
| Reference manual: | sampler.pdf |
| Package source: | sampler_0.2.4.tar.gz |
| Windows binaries: | r-devel: sampler_0.2.4.zip, r-release: sampler_0.2.4.zip, r-oldrel: sampler_0.2.4.zip |
| macOS binaries: | r-release (arm64): sampler_0.2.4.tgz, r-oldrel (arm64): sampler_0.2.4.tgz, r-release (x86_64): sampler_0.2.4.tgz, r-oldrel (x86_64): sampler_0.2.4.tgz |
| Old sources: | sampler archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.