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FactoInvestigate

1.9.1

Automatic Description of Factorial Analysis

1packages depend
97.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Francois HussonFirst published 2017-04-1110 releasesCRAN page ↗

Brings a set of tools to help and automatically realise the description of principal component analyses (from 'FactoMineR' functions). Detection of existing outliers, identification of the informative components, graphical views and dimensions description are performed threw dedicated functions. The Investigate() function performs all these functions in one, and returns the result as a report document (Word, PDF or HTML).

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 33 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
14%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
0%

Downloads

97.4K
CRAN downloads in the past year
Rank #1,737 · ~267/day · ~8.1K/mo
Daily download trend is not available in this view yet.
3.8K30 days
12.9K90 days
97.4K1 year
Compare downloads with other packages →
Also on185 r2u8 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
Imports (7)
FactoMineRstatsmethodsgraphicsrmarkdownparallelggplot2
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.9.1Latest
    2025-12-29 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.9
    2023-11-27 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.8
    2022-04-26 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.7
    2020-12-11 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.6
    2020-02-04 · diff ↗
  • 1.5
    2019-11-16 · diff ↗
  • 1.4
    2019-07-03 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.3
    2018-05-05 · diff ↗
Show 5 earlier events
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1
    2017-10-04 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0
    2017-04-11
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-04-11
Total releases
10 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Download size
80 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FactoInvestigate")
Husson, F., & Thuleau, S. (2025). FactoInvestigate: Automatic Description of Factorial Analysis (Version 1.9.1) [Computer software]. https://doi.org/10.32614/CRAN.package.FactoInvestigate

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 FactoInvestigate version 1.9.1 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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