Package: FactoInvestigate 1.9.1

Francois Husson

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).

Authors:Francois Husson [aut, cre], Simon Thuleau [aut]

FactoInvestigate_1.9.1.tar.gz
FactoInvestigate_1.9.1.zip(r-4.7-any)FactoInvestigate_1.9.1.zip(r-4.6-any)FactoInvestigate_1.9.1.zip(r-4.5-any)
FactoInvestigate_1.9.1.tgz(r-4.6-any)FactoInvestigate_1.9.1.tgz(r-4.5-any)
FactoInvestigate_1.9.1.tar.gz(r-4.7-any)FactoInvestigate_1.9.1.tar.gz(r-4.6-any)
FactoInvestigate_1.9.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FactoInvestigate/json (API)

# Install 'FactoInvestigate' in R:

install.packages('FactoInvestigate', repos = c('https://husson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/husson/factoinvestigate/issues

On CRAN:

5.10 score 1 stars 1 packages 89 scripts 4.7k downloads 2 mentions 21 exports 111 dependencies

Last updated from:43847f0543. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	200
source / vignettes	OK	253
linux-release	OK	215
macos-release	OK	143
macos-oldrel	OK	144
windows-devel	OK	123
windows-release	OK	90
windows-oldrel	OK	147
wasm-release	OK	157

Exports:classif createRmd description dimActive dimRestrict eigenRef factoGraph getParam graphCA graphHab graphInd graphSup graphVar inertiaDistrib Investigate outliers readRmd scriptRmd selection whichFacto writeRmd

Dependencies:abind backports base64enc boot broom bslib cachem car carData cli cluster colorspace cowplot cpp11 crosstalk Deriv digest doBy dplyr DT ellipse emmeans estimability evaluate FactoMineR farver fastmap flashClust fontawesome forecast Formula fracdiff fs generics ggplot2 ggrepel glue gtable highr htmltools htmlwidgets irlba isoband jquerylib jsonlite knitr labeling later lattice lazyeval leaps lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv mime minqa modelr multcompView mvtnorm nlme nloptr nnet numDeriv otel pbkrtest pillar pkgconfig promises purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rmarkdown S7 sass scales scatterplot3d showtext showtextdb SparseM stringi stringr survival sysfonts tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

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