Package: sampler 0.2.4

sampler: Sample Design, Drawing & Data Analysis Using Data Frames

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.

Authors:Michael Baldassaro

sampler_0.2.4.tar.gz
sampler_0.2.4.zip(r-4.7-any)sampler_0.2.4.zip(r-4.6-any)sampler_0.2.4.zip(r-4.5-any)
sampler_0.2.4.tgz(r-4.6-any)sampler_0.2.4.tgz(r-4.5-any)
sampler_0.2.4.tar.gz(r-4.7-any)sampler_0.2.4.tar.gz(r-4.6-any)
sampler_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sampler/json (API)

# Install 'sampler' in R:
install.packages('sampler', repos = c('https://mbaldassaro.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mbaldassaro/sampler/issues

Datasets:
  • albania - Albania 2017 Election Results by Polling Station
  • opening - Albania 2017 CDO Election Observation Data Findings on Opening Process

On CRAN:

Conda:

4.89 score 7 stars 112 scripts 301 downloads 2 mentions 12 exports 23 dependencies

Last updated from:ae8f776a40. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK147
linux-releaseOK112
macos-releaseOK239
macos-oldrelOK174
windows-develOK69
windows-releaseOK53
windows-oldrelOK83
wasm-releaseOK83

Exports:cprodedupedupepsampcalcrmissingrprorsamprsampcalcsmissingsprossampssampcalc

Dependencies:clicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigplyrpurrrR6Rcppreshaperlangstringistringrtibbletidyrtidyselectutf8vctrswithr