FactoInvestigate-package {FactoInvestigate}

Automatic Description of Factorial Analysis

Description

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).

Details

The DESCRIPTION file:

Package:	FactoInvestigate
Type:	Package
Title:	Automatic Description of Factorial Analysis
Version:	1.9
Author:	Simon Thuleau, Francois Husson
Maintainer:	Francois Husson <[e-mail]>
Description:	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).
Depends:	R (>= 4.0)
URL:	http://factominer.free.fr/reporting/
Imports:	FactoMineR, stats, methods, graphics, rmarkdown, parallel, ggplot2
License:	GPL (>= 2)
Encoding:	UTF-8
LazyLoad:	yes

Index of help topics:

FactoInvestigate-package
                        Automatic Description of Factorial Analysis
Investigate             Resume factorial Analysis
classif                 Classification description
createRmd               Create Rmarkdown file
description             Factorial dimensions description
dimActive               Number of active dimensions
dimRestrict             Significant dimensions identification
eigenRef                Reference eigen value
factoGraph              Factorial graphs
getParam                Factorial parameters
graphCA                 Correspondance Analysis factor map
graphHab                Colored factor graph
graphInd                Individuals factor map
graphSup                Supplementary variables factor map
graphVar                Variables factor map
inertiaDistrib          Inertia distribution analysis
outliers                Outliers detection
readRmd                 Read Rmarkdown file
scriptRmd               File script
selection               Graphical elements selection
whichFacto              Analysis class
writeRmd                Write Rmarkdown file

An overview of how to use the package, including the most important functions

Author(s)

Simon Thuleau, Francois Husson

Maintainer: Francois Husson <[e-mail]>

See Also

FactoMineR