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basetable

1.4.2Package record

Fast and Memory-Efficient Base R Table Manipulation

0packages depend
672downloads / year
84.4%test coverage
13/13flavors OK

Overview

About

A tabular data manipulation, exploration and validation toolkit with a base R-style interface (subset, transform, aggregate, merge, split) and no external computation dependency. Grouping, joins, ordering, filtering, reshaping and delimited-file reading run in a bundled 'C++' engine that uses multiple threads for the heavier operations. Grouped reducers accumulate in compiled code without materialising intermediate columns, so grouped aggregation and counting allocate close to nothing. Results are returned as an ordinary data frame with a light 'basetable' class.

Changes in 1.4.2

Fixes

  • split() on a non-data-frame data argument (the classic split(vector, factor) base R idiom) now dispatches to base::split() instead of erroring. Previously split() unconditionally treated its first argument as a table, so attaching basetable broke split(vector, factor) anywhere in a session, including inside R Markdown/Quarto's own rendering pipeline, which calls split() unqualified internally.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.4 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OKNow
  • OK6 OK2026-09-15
  • ERROR3 OK, 2 ERROR2026-09-13
Advisories

none known

Documentation

In release 1.4.2
READMEYes · 1,333 wordsVignettesYes · 5 · dynamicNEWSYes · 100% structured · mentions 1.4.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
240includes a package overview page
Examples that run
100%15 run in a plain check
Exported functions with examples
6%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
0%

Downloads

672
CRAN downloads in the past year
Rank #19,429 · ~2/day · ~56/mo
Daily download trend is not available in this view yet.
51230 days
67290 days
6721 year
Compare downloads with other packages →
Also on40 r2u53 autocran

Repository

4Stars
0Forks
0Open issues
0Open PRs
1Releases
389Commits
1Commit identities
base-rcppcrandata-framedata-manipulationdata-tabledata-wranglingdataframe
389 commits · Last activity 2026-09-23 · +300% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
99%
Median days to close, 50 most recently updated closed issues
2
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2026-09-13 · 02026-09-25 · 4
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/ielbadisy/basetable on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)
Contributing guideIssue templatesPR template
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing basetable adds no packages beyond those that come with R.

Depends (1)
R >= 4.2.0
Imports (3)
parallelstatsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.3.2 (2026)
Releases (3)

Pick two releases to compare their code metrics.

  • 1.4.2Latest
    record
    2026-09-18 · current release · diff ↗
  • 1.4.1
    record
    2026-09-13 · diff ↗ ·
    added 3 exports
    as_basetable, compact, is_basetable
  • 1.3.2
    record
    2026-09-12
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-12
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.2.0
Download size
971 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("basetable")
El Badisy, I. (2026). basetable: Fast and Memory-Efficient Base R Table Manipulation (Version 1.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.basetable

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 basetable version 1.4.2 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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