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FactoInvestigate

1.9.1Package record

Automatic Description of Factorial Analysis

1packages depend
81.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 2.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.9.1
READMEYes · 33 wordsVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
22includes a package overview page
Examples that run
14%3 run in a plain check · 18 never run
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
0%

Downloads

81.6K
CRAN downloads in the past year
Rank #1,629 · ~223/day · ~6.8K/mo
Daily download trend is not available in this view yet.
5K30 days
13.9K90 days
81.6K1 year
Compare downloads with other packages →
Also on183 r2u8 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing FactoInvestigate adds 102 packages (54 with compiled code, 88 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 4.0
Imports (7)
FactoMineRstatsmethodsgraphicsrmarkdownparallelggplot2
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Depends 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (2)
Author, Maintainer since 1.5 (2019)

Previously maintained by Simon Thuleau (1.0 to 1.4).

Releases (10)

Pick two releases to compare their code metrics.

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

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 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 FactoInvestigate version 1.9.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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