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sampler

0.2.4Package record

Sample Design, Drawing & Data Analysis Using Data Frames

0packages depend
4.1Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Michael Baldassaro <mbaldassaro@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Michael",
                    family = "Baldassaro",
                    role = c("aut", "cre"),
                    email = "mbaldassaro@gmail.com")
as necessary.

CRAN check page ↗

Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.4
READMEYes · 415 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
100%11 run in a plain check
Exported functions with examples
92%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
64%

Downloads

4.1K
CRAN downloads in the past year
Rank #13,940 · ~11/day · ~344/mo
Daily download trend is not available in this view yet.
34930 days
84790 days
4.1K1 year
Compare downloads with other packages →
Also on69 r2u4 autocran

Repository

7Stars
1Forks
3Open issues
1Open PRs
0Releases
18Commits
2Commit identities
18 commits · Last activity 2021-05-26
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2021-02-03 · 72026-07-07 · 7
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mbaldassaro/sampler on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing sampler adds 23 packages (14 with compiled code, 20 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, vctrs 1.0 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 0.2.0 (2018)

Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.4Latest
    record
    2019-09-15 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.2.3
    record
    2019-01-27 · diff ↗
  • 0.2.2
    record
    2018-07-20 · diff ↗
  • 0.2.0
    record
    2018-05-31
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-05-31
Total releases
4 / 8 yrs
License
MIT + file LICENSE OSI
Bundled data
233 KB / 2 files
Download size
235 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sampler")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sampler version 0.2.4 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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