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cABCanalysis

1.0.2Package record

Computed ABC Analysis

1packages depend
2Kdownloads / year
80.9%test coverage
13/13flavors OK

Overview

About

Identify the most relative data points by dividing a numeric data set into three classes A, B, and C, where class A items are the "import few", class C items are the "trivial many" with class B items being something in between, resembling the idea of the Pareto principle. This ABC classification is done using an ABC curve, which plots cumulative "Yield" against "Effort", similar to a Lorenz curve. Class borders are then precisely mathematically defined on that curve, aiding in interpretation. Based on: Ultsch A, Lotsch J (2015) "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data". PLoS ONE 10(6): e0129767. doi:10.1371/journal.pone.0129767.

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK5 OK2026-04-29
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 101 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
10 (7 internal)
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
10%

Downloads

2K
CRAN downloads in the past year
Rank #12,339 · ~5/day · ~165/mo
Daily download trend is not available in this view yet.
46230 days
89290 days
2K1 year
Compare downloads with other packages →
Also on63 r2u4 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
0Releases
27Commits
1Commit identities
27 commits · Last activity 2026-09-11 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2026-07-07 · 02026-09-14 · 2
PracticesBeta

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

Checks run against github.com/andrehdev/cabc_analysis on 2026-10-11.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing cABCanalysis adds 18 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (1)
R >= 2.10.0
Imports (6)
ggplot2plotrixgrDevicesgraphicsstatsutils
LinkingTo (0)
none
Suggests (2)
datasetstestthat
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 1.0 (2026)
Releases (3)

Pick two releases to compare their code metrics.

  • 1.0.2Latest
    record
    2026-09-11 · current release · diff ↗ ·
    added 1 export
    cABC_plot_style
  • 1.0.1
    record
    2026-06-09 · diff ↗
  • 1.0
    record
    2026-04-28
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-04-28
Total releases
3 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10.0
Bundled data
6.3 KB / 1 file
Download size
30 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cABCanalysis")
Himmelspach, A., & Lotsch, J. (2026). cABCanalysis: Computed ABC Analysis (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.cABCanalysis

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 cABCanalysis version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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