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FactoInvestigate: Automatic Description of Factorial Analysis

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).

Version: 1.9
Depends: R (≥ 4.0)
Imports: FactoMineR, stats, methods, graphics, rmarkdown, parallel, ggplot2
Published: 2023-11-27
DOI: 10.32614/CRAN.package.FactoInvestigate
Author: Simon Thuleau, Francois Husson
Maintainer: Francois Husson <francois.husson at institut-agro.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://factominer.free.fr/reporting/
NeedsCompilation: no
Materials: README
CRAN checks: FactoInvestigate results

Documentation:

Reference manual: FactoInvestigate.pdf

Downloads:

Package source: FactoInvestigate_1.9.tar.gz
Windows binaries: r-devel: FactoInvestigate_1.9.zip, r-release: FactoInvestigate_1.9.zip, r-oldrel: FactoInvestigate_1.9.zip
macOS binaries: r-release (arm64): FactoInvestigate_1.9.tgz, r-oldrel (arm64): FactoInvestigate_1.9.tgz, r-release (x86_64): FactoInvestigate_1.9.tgz, r-oldrel (x86_64): FactoInvestigate_1.9.tgz
Old sources: FactoInvestigate archive

Reverse dependencies:

Reverse depends: Factoshiny
Reverse suggests: Statsomat

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FactoInvestigate to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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