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ABCanalysis

1.2.1

Computed ABC Analysis

7packages depend
11.8Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Florian LerchFirst published 2015-02-137 releasesCRAN page ↗

For a given data set, the package provides a novel method of computing precise limits to acquire subsets which are easily interpreted. Closely related to the Lorenz curve, the ABC curve visualizes the data by graphically representing the cumulative distribution function. Based on an ABC analysis the algorithm calculates, with the help of the ABC curve, the optimal limits by exploiting the mathematical properties pertaining to distribution of analyzed items. The data containing positive values is divided into three disjoint subsets A, B and C, with subset A comprising very profitable values, i.e. largest data values ("the important few"), subset B comprising values where the yield equals to the effort required to obtain it, and the subset C comprising of non-profitable values, i.e., the smallest data sets ("the trivial many"). Package is based on "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data", PLoS One. Ultsch. A., Lotsch J. (2015) DOI:10.1371/journal.pone.0129767.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
1
Dependencies · direct
Check history
  • NOTE2026-03-13
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-12
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
42%

Downloads

11.8K
CRAN downloads in the past year
Rank #4,196 · ~32/day · ~986/mo
Daily download trend is not available in this view yet.
63230 days
2.2K90 days
11.8K1 year
Compare downloads with other packages →
Also on141 r2u42 autocran563 conda_forge

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none

Code & Tests

Code Composition
R 843 (58%)Rd 616 (42%)
Code characteristics
Cyclomatic complexity
4.0 median / 17 max

Test coverage

Line coverage

Expression

Tests / Examples

Functions

10 0 exported

Complexity

6.2 avg / 17 max

Call network

10 nodes / 12 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (3)
no longer listed · 1.0 to 1.2.1
no longer listed · 1.0 to 1.2.1
no longer listed · 1.0 to 1.2.1
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.2.1Latest
    2017-03-13 · current release · diff ↗
  • 1.1.2
    2016-08-23 · diff ↗
  • 1.1.1
    2016-06-15 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.1.0
    2015-09-28 · diff ↗
  • 1.0.2
    2015-06-15 · diff ↗
Show 4 earlier events
  • 1.0.1
    2015-04-20 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    2015-02-13
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2015-02-13
Total releases
7 / 11 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
6.3 KB / 1 file
Download size
23 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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