Package: FactoMineR 2.12

Francois Husson

FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).

Authors:Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet

FactoMineR_2.12.tar.gz
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FactoMineR.pdf |FactoMineR.html✨
FactoMineR/json (API)
NEWS

# Install 'FactoMineR' in R:

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

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

Datasets:

JO - Number of medals in athletism during olympic games per country
children - Children
decathlon - Performance in decathlon
footsize - Footsize
geomorphology - Geomorphology
health - Health
hobbies - Hobbies
milk - Milk
mortality - The cause of mortality in France in 1979 and 2006
poison - Poison
poison.text - Poison
poulet - Genomic data for chicken
senso - Senso
tea - Tea
wine - Wine

On CRAN:

14.80 score 40 stars 105 packages 5.1k scripts 98k downloads 1.1k mentions 71 exports 98 dependencies

Last updated 4 months agofrom:c7db3638cc. Checks:OK: 7 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 14 2024
R-4.5-win-x86_64	NOTE	Oct 14 2024
R-4.5-linux-x86_64	NOTE	Oct 14 2024
R-4.4-win-x86_64	OK	Oct 14 2024
R-4.4-mac-x86_64	OK	Oct 14 2024
R-4.4-mac-aarch64	OK	Oct 14 2024
R-4.3-win-x86_64	OK	Oct 14 2024
R-4.3-mac-x86_64	OK	Oct 14 2024
R-4.3-mac-aarch64	OK	Oct 14 2024

Exports:AovSum autoLab CA CaGalt catdes coeffRV condes coord.ellipse descfreq dimdesc DMFA ellipseCA estim_ncp FAMD GPA graph.var HCPC HMFA LinearModel MCA meansComp MFA PCA plot.CA plot.CaGalt plot.catdes plot.DMFA plot.FAMD plot.GPA plot.HCPC plot.HMFA plot.MCA plot.meansComp plot.MFA plot.PCA plotellipses plotGPApartial plotMFApartial predict.CA predict.FAMD predict.MCA predict.MFA predict.PCA prefpls print.AovSum print.CA print.CaGalt print.catdes print.condes print.FAMD print.GPA print.HCPC print.HMFA print.LinearModel print.MCA print.MFA print.PCA reconst RegBest simule summary.CA summary.CaGalt summary.FAMD summary.MCA summary.MFA summary.PCA svd.triplet tab.disjonctif tab.disjonctif.prop textual write.infile

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 fansi farver fastmap flashClust fontawesome Formula fs generics ggplot2 ggrepel glue gtable highr htmltools htmlwidgets httpuv isoband jquerylib jsonlite knitr labeling later lattice lazyeval leaps lifecycle lme4 magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr multcompView munsell mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig promises purrr quantreg R6 rappdirs RColorBrewer Rcpp RcppEigen rlang rmarkdown sass scales scatterplot3d SparseM stringi stringr survival tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

clustering

Rendered fromclustering.Rmdusingknitr::knitron Oct 14 2024.

Last update: 2023-10-26
Started: 2019-01-15

FactoMineR

Rendered fromFactoMineR.Rmdusingknitr::knitron Oct 14 2024.

Last update: 2023-10-26
Started: 2019-01-15

Help page	Topics
Multivariate Exploratory Data Analysis and Data Mining with R	FactoMineR-package FactoMineR
Analysis of variance with the contrasts sum (the sum of the coefficients is 0)	AovSum
Function to better position the labels on the graphs	autoLab
Correspondence Analysis (CA)	CA
Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt)	CaGalt
Categories description	catdes
Children (data)	children
Calculate the RV coefficient and test its significance	coeffRV
Continuous variable description	condes
Construct confidence ellipses	coord.ellipse
Performance in decathlon (data)	decathlon
Description of frequencies	descfreq
Dimension description	dimdesc
Dual Multiple Factor Analysis (DMFA)	DMFA
Draw confidence ellipses in CA	ellipseCA
Estimate the number of components in Principal Component Analysis	estim_ncp
Factor Analysis for Mixed Data	FAMD
footsize	footsize
geomorphology(data)	geomorphology
Generalised Procrustes Analysis	GPA
Make graph of variables	graph.var
Hierarchical Clustering on Principle Components (HCPC)	HCPC
health (data)	health
Hierarchical Multiple Factor Analysis	HMFA
hobbies (data)	hobbies
Number of medals in athletism during olympic games per country	JO
Linear Model with AIC or BIC selection, and with the contrasts sum (the sum of the coefficients is 0) if any categorical variables	LinearModel
Multiple Correspondence Analysis (MCA)	MCA
Perform pairwise means comparisons	meansComp
Multiple Factor Analysis (MFA)	MFA
milk	milk
The cause of mortality in France in 1979 and 2006	mortality
Principal Component Analysis (PCA)	PCA
Draw the Correspondence Analysis (CA) graphs	plot.CA
Draw the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) graphs	plot.CaGalt
Plots for description of clusters (catdes)	plot.catdes
Draw the Dual Multiple Factor Analysis (DMFA) graphs	plot.DMFA
Draw the Multiple Factor Analysis for Mixt Data graphs	plot.FAMD
Draw the General Procrustes Analysis (GPA) map	plot.GPA
Plots for Hierarchical Classification on Principle Components (HCPC) results	plot.HCPC
Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs	plot.HMFA
Draw the Multiple Correspondence Analysis (MCA) graphs	plot.MCA
Draw the means comparisons	plot.meansComp
Draw the Multiple Factor Analysis (MFA) graphs	plot.MFA
Draw the Principal Component Analysis (PCA) graphs	plot.PCA
Draw confidence ellipses around the categories	plotellipses
Draw an interactive General Procrustes Analysis (GPA) map	plotGPApartial
Plot an interactive Multiple Factor Analysis (MFA) graph	plotMFApartial
Poison	poison
Poison	poison.text
Genomic data for chicken	poulet
Predict projection for new rows with Correspondence Analysis	predict.CA
Predict projection for new rows with Factor Analysis of Mixed Data	predict.FAMD
Predict method for Linear Model Fits	predict.LinearModel
Predict projection for new rows with Multiple Correspondence Analysis	predict.MCA
Predict projection for new rows with Multiple Factor Analysis	predict.MFA
Predict projection for new rows with Principal Component Analysis	predict.PCA
Scatter plot and additional variables with quality of representation contour lines	prefpls
Print the AovSum results	print.AovSum
Print the Correspondance Analysis (CA) results	print.CA
Print the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) results	print.CaGalt
Print the catdes results	print.catdes
Print the condes results	print.condes
Print the Multiple Factor Analysis of mixt Data (FAMD) results	print.FAMD
Print the Generalized Procrustes Analysis (GPA) results	print.GPA
Print the Hierarchical Clustering on Principal Components (HCPC) results	print.HCPC
Print the Hierarchical Multiple Factor Analysis results	print.HMFA
Print the LinearModel results	print.LinearModel
Print the Multiple Correspondance Analysis (MCA) results	print.MCA
Print the Multiple Factor Analysis results	print.MFA
Print the Principal Component Analysis (PCA) results	print.PCA
Reconstruction of the data from the PCA, CA or MFA results	reconst
Select variables in multiple linear regression	RegBest
senso	senso
Simulate by bootstrap	simule
Printing summeries of ca objects	summary.CA
Printing summaries of CaGalt objects	summary.CaGalt
Printing summeries of FAMD objects	summary.FAMD
Printing summeries of MCA objects	summary.MCA
Printing summaries of MFA objects	summary.MFA
Printing summeries of PCA objects	summary.PCA
Singular Value Decomposition of a Matrix	svd.triplet
Make a disjonctif table	tab.disjonctif
Make a disjunctive table when missing values are present	tab.disjonctif.prop
tea (data)	tea
Text mining	textual
Wine	wine
Print in a file	write.infile

Package: FactoMineR 2.12

FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

clustering

FactoMineR

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)