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.

AuthorFrancois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Date of publication2016-11-17 14:34:22
MaintainerFrancois Husson <francois.husson@agrocampus-ouest.fr>
LicenseGPL (>= 2)
Version1.34
http://factominer.free.fr

View on CRAN

Man pages

AovSum: Analysis of variance with the contrasts sum (the sum of the...

autoLab: Function to better position the labels on the graphs

CA: Correspondence Analysis (CA)

CaGalt: Correspondence Analysis on Generalised Aggregated Lexical...

catdes: Categories description

children: Children (data)

coeffRV: Calculate the RV coefficient and test its significance

condes: Continuous variable description

coord.ellipse: Construct confidence ellipses

decathlon: Performance in decathlon (data)

desfreq: Description of frequencies

dimdesc: Dimension description

DMFA: Dual Multiple Factor Analysis (DMFA)

ellipseCA: Draw confidence ellipses in CA

estim_ncp: Estimate the number of components in Principal Component...

FactoMineR-package: Multivariate Exploratory Data Analysis and Data Mining with R

FAMD: Factor Analysis for Mixed Data

footsize: footsize

geomorphology: geomorphology(data)

gpa: Generalised Procrustes Analysis

graph.var: Make graph of variables

HCPC: Hierarchical Clustering on Principle Components (HCPC)

health: health (data)

HMFA: Hierarchical Multiple Factor Analysis

hobbies: hobbies (data)

JO: Number of medals in athletism during olympic games per...

MCA: Multiple Correspondence Analysis (MCA)

MFA: Multiple Factor Analysis (MFA)

milk: milk

mortality: The cause of mortality in France in 1979 and 2006

PCA: Principal Component Analysis (PCA)

plot.CA: Draw the Correspondence Analysis (CA) graphs

plot.CaGalt: Draw the Correspondence Analysis on Generalised Aggregated...

plot.catdes: Plots for description of clusters (catdes)

plot.DMFA: Draw the Dual Multiple Factor Analysis (DMFA) graphs

plotellipses: Draw confidence ellipses around the categories

plot.FAMD: Draw the Multiple Factor Analysis for Mixt Data graphs

plot.GPA: Draw the General Procrustes Analysis (GPA) map

plot.GPApartial: Draw an interactive General Procrustes Analysis (GPA) map

plot.HCPC: Plots for Hierarchical Classification on Principle Components...

plot.HMFA: Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

plot.MCA: Draw the Multiple Correspondence Analysis (MCA) graphs

plot.MFA: Draw the Multiple Factor Analysis (MFA) graphs

plot.MFApartial: Plot an interactive Multiple Factor Analysis (MFA) graph

plot.PCA: Draw the Principal Component Analysis (PCA) graphs

poison: Poison

poison.text: Poison

poulet: Genomic data for chicken

predict.CA: Predict projection for new rows with Correspondence Analysis

predict.FAMD: Predict projection for new rows with Factor Analysis of Mixed...

predict.MCA: Predict projection for new rows with Multiple Correspondence...

predict.MFA: Predict projection for new rows with Multiple Factor Analysis

predict.PCA: Predict projection for new rows with Principal Component...

prefpls: Scatter plot and additional variables with quality of...

print.AovSum: Print the AovSum results

print.CA: Print the Correspondance Analysis (CA) results

print.CaGalt: Print the Correspondence Analysis on Generalised Aggregated...

print.FAMD: Print the Multiple Factor Analysis of mixt Data (FAMD)...

print.GPA: Print the Generalized Procrustes Analysis (GPA) results

print.HCPC: Print the Hierarchical Clustering on Principal Components...

print.HMFA: Print the Hierarchical Multiple Factor Analysis results

print.MCA: Print the Multiple Correspondance Analysis (MCA) results

print.MFA: Print the Multiple Factor Analysis results

print.PCA: Print the Principal Component Analysis (PCA) results

reconst: Reconstruction of the data from the PCA, CA or MFA results

RegBest: Select variables in multiple linear regression

senso: senso

simule: Simulate by bootstrap

summary.CA: Printing summeries of ca objects

summary.CaGalt: Printing summaries of CaGalt objects

summary.FAMD: Printing summeries of FAMD objects

summary.MCA: Printing summeries of MCA objects

summary.MFA: Printing summaries of MFA objects

summary.PCA: Printing summeries of PCA objects

svd.triplet: Singular Value Decomposition of a Matrix

tab.disjonctif: Make a disjonctif table

tab.disjonctif.prop: Make a disjunctive table when missing values are present

tea: tea (data)

textual: Text mining

wine: Wine

write.infile: Print in a file

Files in this package

FactoMineR
FactoMineR/inst
FactoMineR/inst/CITATION
FactoMineR/inst/doc
FactoMineR/inst/doc/clustering.Rmd
FactoMineR/inst/doc/clustering.pdf
FactoMineR/inst/doc/FactoMineR.pdf
FactoMineR/inst/doc/FactoMineR.Rmd
FactoMineR/NAMESPACE
FactoMineR/data
FactoMineR/data/milk.rda
FactoMineR/data/JO.rda
FactoMineR/data/decathlon.rda
FactoMineR/data/geomorphology.rda
FactoMineR/data/health.rda
FactoMineR/data/poison.rda
FactoMineR/data/children.rda
FactoMineR/data/datalist
FactoMineR/data/poison.text.rda
FactoMineR/data/footsize.rda
FactoMineR/data/hobbies.rda
FactoMineR/data/poulet.rda
FactoMineR/data/wine.rda
FactoMineR/data/mortality.rda
FactoMineR/data/senso.rda
FactoMineR/data/tea.rda
FactoMineR/R
FactoMineR/R/print.MFA.R
FactoMineR/R/summary.MFA.r
FactoMineR/R/plot.GPA.R FactoMineR/R/predict.CA.R FactoMineR/R/print.GPA.R FactoMineR/R/print.HMFA.R FactoMineR/R/print.CaGalt.R FactoMineR/R/summary.CaGalt.R FactoMineR/R/tab.disjonctif.prop.R FactoMineR/R/print.HCPC.R
FactoMineR/R/dimdesc.r
FactoMineR/R/predict.MFA.R FactoMineR/R/print.CA.R FactoMineR/R/plot.HCPC.R FactoMineR/R/plot.PCA.R
FactoMineR/R/summary.CA.r
FactoMineR/R/print.MCA.R
FactoMineR/R/summary.PCA.r
FactoMineR/R/plot.DMFA.R FactoMineR/R/coeffRV.R FactoMineR/R/HMFA.R FactoMineR/R/print.AovSum.R
FactoMineR/R/plotellipses.r
FactoMineR/R/summary.MCA.r
FactoMineR/R/prefpls.r
FactoMineR/R/RegBest.r
FactoMineR/R/CaGalt.R FactoMineR/R/CA.R FactoMineR/R/PCA.R FactoMineR/R/write.infile.R FactoMineR/R/predict.FAMD.R FactoMineR/R/HCPC.R FactoMineR/R/graph.var.R FactoMineR/R/plot.catdes.R
FactoMineR/R/condes.r
FactoMineR/R/ellipseCA.R FactoMineR/R/coord.ellipse.R FactoMineR/R/DMFA.R FactoMineR/R/descfreq.R FactoMineR/R/tab.disjonctif.R FactoMineR/R/GPA.R FactoMineR/R/plot.HMFA.R
FactoMineR/R/textual.r
FactoMineR/R/simule.r
FactoMineR/R/AovSum.r
FactoMineR/R/summary.FAMD.r
FactoMineR/R/svd.triplet.R
FactoMineR/R/estim_ncp.r
FactoMineR/R/plotGPApartial.R FactoMineR/R/autoLab.R FactoMineR/R/print.PCA.R FactoMineR/R/plot.MCA.R FactoMineR/R/plotMFApartial.R FactoMineR/R/plot.CA.R FactoMineR/R/MCA.R FactoMineR/R/print.FAMD.R FactoMineR/R/reconst.R FactoMineR/R/plot.MFA.R
FactoMineR/R/catdes.r
FactoMineR/R/plot.CaGalt.R FactoMineR/R/plot.FAMD.R FactoMineR/R/MFA.R FactoMineR/R/predict.MCA.R FactoMineR/R/predict.PCA.R FactoMineR/R/FAMD.R
FactoMineR/vignettes
FactoMineR/vignettes/clustering.Rmd
FactoMineR/vignettes/FactoMineR.Rmd
FactoMineR/vignettes/clustering.html
FactoMineR/vignettes/FactoMineR.html
FactoMineR/MD5
FactoMineR/README
FactoMineR/build
FactoMineR/build/vignette.rds
FactoMineR/DESCRIPTION
FactoMineR/man
FactoMineR/man/summary.FAMD.Rd FactoMineR/man/print.MCA.Rd FactoMineR/man/gpa.Rd FactoMineR/man/plotellipses.Rd FactoMineR/man/prefpls.Rd FactoMineR/man/graph.var.Rd FactoMineR/man/FactoMineR-package.Rd FactoMineR/man/children.Rd FactoMineR/man/wine.Rd FactoMineR/man/poison.text.Rd FactoMineR/man/HCPC.Rd FactoMineR/man/senso.Rd FactoMineR/man/plot.GPA.Rd FactoMineR/man/milk.Rd FactoMineR/man/plot.MFApartial.Rd FactoMineR/man/print.MFA.Rd FactoMineR/man/tab.disjonctif.prop.Rd FactoMineR/man/autoLab.Rd FactoMineR/man/AovSum.Rd FactoMineR/man/condes.Rd FactoMineR/man/dimdesc.Rd FactoMineR/man/plot.FAMD.Rd FactoMineR/man/print.PCA.Rd FactoMineR/man/predict.PCA.Rd FactoMineR/man/DMFA.Rd FactoMineR/man/print.AovSum.Rd FactoMineR/man/plot.GPApartial.Rd FactoMineR/man/geomorphology.Rd FactoMineR/man/decathlon.Rd FactoMineR/man/coord.ellipse.Rd FactoMineR/man/plot.HMFA.Rd FactoMineR/man/print.HCPC.Rd FactoMineR/man/tea.Rd FactoMineR/man/MFA.Rd FactoMineR/man/predict.MCA.Rd FactoMineR/man/poison.Rd FactoMineR/man/reconst.Rd FactoMineR/man/plot.HCPC.Rd FactoMineR/man/plot.catdes.Rd FactoMineR/man/RegBest.Rd FactoMineR/man/CA.Rd FactoMineR/man/predict.MFA.Rd FactoMineR/man/plot.DMFA.Rd FactoMineR/man/print.FAMD.Rd FactoMineR/man/textual.Rd FactoMineR/man/health.Rd FactoMineR/man/tab.disjonctif.Rd FactoMineR/man/HMFA.Rd FactoMineR/man/estim_ncp.Rd FactoMineR/man/summary.MCA.Rd FactoMineR/man/summary.PCA.Rd FactoMineR/man/predict.FAMD.Rd FactoMineR/man/print.CA.Rd FactoMineR/man/plot.PCA.Rd FactoMineR/man/write.infile.Rd FactoMineR/man/coeffRV.Rd FactoMineR/man/ellipseCA.Rd FactoMineR/man/FAMD.Rd FactoMineR/man/svd.triplet.Rd FactoMineR/man/mortality.Rd FactoMineR/man/PCA.Rd FactoMineR/man/plot.MCA.Rd FactoMineR/man/predict.CA.Rd FactoMineR/man/poulet.Rd FactoMineR/man/MCA.Rd FactoMineR/man/print.CaGalt.Rd FactoMineR/man/summary.MFA.Rd FactoMineR/man/plot.MFA.Rd FactoMineR/man/print.HMFA.Rd FactoMineR/man/simule.Rd FactoMineR/man/summary.CA.Rd FactoMineR/man/print.GPA.Rd FactoMineR/man/plot.CaGalt.Rd FactoMineR/man/catdes.Rd FactoMineR/man/summary.CaGalt.Rd FactoMineR/man/footsize.Rd FactoMineR/man/plot.CA.Rd FactoMineR/man/CaGalt.Rd FactoMineR/man/hobbies.Rd FactoMineR/man/desfreq.Rd FactoMineR/man/JO.Rd

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