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FactoMineR (version 1.33)

Multivariate Exploratory Data Analysis and Data Mining

Description

Exploratory data analysis methods such as principal component methods and clustering.

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Version

Install

install.packages('FactoMineR')

Monthly Downloads

96,057

Version

1.33

License

GPL (>= 2)

Maintainer

Francois Husson

Last Published

May 18th, 2016

Functions in FactoMineR (1.33)

catdes

Categories description
decathlon

Performance in decathlon (data)
coord.ellipse

Construct confidence ellipses
autoLab

Function to better position the labels on the graphs
CaGalt

Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt)
children

Children (data)
coeffRV

Calculate the RV coefficient and test its significance
AovSum

Analysis of variance with the contrasts sum (the sum of the coefficients is 0)
condes

Continuous variable description
descfreq

Description of frequencies
DMFA

Dual Multiple Factor Analysis (DMFA)
dimdesc

Dimension description
estim_ncp

Estimate the number of components in Principal Component Analysis
ellipseCA

Draw confidence ellipses in CA
FAMD

Factor Analysis for Mixed Data
FactoMineR-package

Multivariate Exploratory Data Analysis and Data Mining with R
footsize

footsize
geomorphology

geomorphology(data)
GPA

Generalised Procrustes Analysis
graph.var

Make graph of variables
HMFA

Hierarchical Multiple Factor Analysis
plotellipses

Draw confidence ellipses around the categories
hobbies

hobbies (data)
print.MCA

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

Print the Multiple Factor Analysis results
poison

Poison
summary.MCA

Printing summeries of MCA objects
summary.MFA

Printing summaries of MFA objects
mortality

The cause of mortality in France in 1979 and 2006
plot.CA

Draw the Correspondence Analysis (CA) graphs
plot.FAMD

Draw the Multiple Factor Analysis for Mixt Data graphs
plot.DMFA

Draw the Dual Multiple Factor Analysis (DMFA) graphs
print.AovSum

Print the AovSum results
predict.PCA

Predict projection for new rows with Principal Component Analysis
summary.PCA

Printing summeries of PCA objects
svd.triplet

Singular Value Decomposition of a Matrix
HCPC

Hierarchical Clustering on Principle Components (HCPC)
health

health (data)
plot.GPA

Draw the General Procrustes Analysis (GPA) map
plotGPApartial

Draw an interactive General Procrustes Analysis (GPA) map
poison.text

Poison
poulet

Genomic data for chicken
plot.MCA

Draw the Multiple Correspondence Analysis (MCA) graphs
milk

milk
JO

Number of medals in athletism during olympic games per country
plot.MFA

Draw the Multiple Factor Analysis (MFA) graphs
predict.CA

Predict projection for new rows with Correspondence Analysis
predict.FAMD

Predict projection for new rows with Factor Analysis of Mixed Data
print.HCPC

Print the Hierarchical Clustering on Principal Components (HCPC) results
print.HMFA

Print the Hierarchical Multiple Factor Analysis results
summary.CaGalt

Printing summaries of CaGalt objects
summary.FAMD

Printing summeries of FAMD objects
textual

Text mining
tea

tea (data)
tab.disjonctif.prop

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

Make a disjonctif table
plotMFApartial

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

Draw the Principal Component Analysis (PCA) graphs
print.CA

Print the Correspondance Analysis (CA) results
print.CaGalt

Print the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) results
plot.CaGalt

Draw the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) graphs
plot.catdes

Plots for description of clusters (catdes)
plot.HCPC

Plots for Hierarchical Classification on Principle Components (HCPC) results
predict.MCA

Predict projection for new rows with Multiple Correspondence Analysis
plot.HMFA

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs
predict.MFA

Predict projection for new rows with Multiple Factor Analysis
print.PCA

Print the Principal Component Analysis (PCA) results
reconst

Reconstruction of the data from the PCA, CA or MFA results
print.FAMD

Print the Multiple Factor Analysis of mixt Data (FAMD) results
simule

Simulate by bootstrap
summary.CA

Printing summeries of ca objects
print.GPA

Print the Generalized Procrustes Analysis (GPA) results
RegBest

Select variables in multiple linear regression
wine

Wine
senso

senso
write.infile

Print in a file