# Multivariate Exploratory Data Analysis and Data Mining

## Documentation for package ‘FactoMineR’ version 2.16

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

A C D E F G H J L M P R S T W

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

## -- A --

AovSum | Analysis of variance with the contrasts sum (the sum of the coefficients is 0)
autoLab | Function to better position the labels on the graphs

## -- C --

CA | Correspondence Analysis (CA)
CaGalt | Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt)
catdes | Categories description
children | Children (data)
coeffRV | Calculate the RV coefficient and test its significance
condes | Continuous variable description
coord.ellipse | Construct confidence ellipses

## -- D --

decathlon | Performance in decathlon (data)
descfreq | Description of frequencies
dimdesc | Dimension description
DMFA | Dual Multiple Factor Analysis (DMFA)

## -- E --

ellipseCA | Draw confidence ellipses in CA
estim_ncp | Estimate the number of components in Principal Component Analysis

## -- F --

FactoMineR | Multivariate Exploratory Data Analysis and Data Mining with R
factominer_breaks_contrib | Theme for ggplot graphs and colour scales for FactoMineR
factominer_breaks_cos2 | Theme for ggplot graphs and colour scales for FactoMineR
factominer_labels_pct | Theme for ggplot graphs and colour scales for FactoMineR
FAMD | Factor Analysis for Mixed Data
footsize | footsize

## -- G --

geomorphology | geomorphology(data)
geom_contrib_reference | Theme for ggplot graphs and colour scales for FactoMineR
GPA | Generalised Procrustes Analysis
graph.var | Make graph of variables

## -- H --

HCPC | Hierarchical Clustering on Principle Components (HCPC)
health | health (data)
HMFA | Hierarchical Multiple Factor Analysis
hobbies | hobbies (data)

## -- J --

JO | Number of medals in athletism during olympic games per country

## -- L --

LinearModel | Linear Model with AIC or BIC selection, and with the contrasts sum (the sum of the coefficients is 0) if any categorical variables

## -- M --

MCA | Multiple Correspondence Analysis (MCA)
meansComp | Perform pairwise means comparisons
MFA | Multiple Factor Analysis (MFA)
milk | milk
mortality | The cause of mortality in France in 1979 and 2006

## -- P --

PCA | Principal Component Analysis (PCA)
plot.CA | Draw the Correspondence Analysis (CA) graphs
plot.CaGalt | Draw the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) graphs
plot.catdes | Plots for description of clusters (catdes)
plot.DMFA | Draw the Dual Multiple Factor Analysis (DMFA) graphs
plot.FAMD | Draw the Multiple Factor Analysis for Mixt Data graphs
plot.GPA | Draw the General Procrustes Analysis (GPA) map
plot.HCPC | Plots for Hierarchical Classification on Principle Components (HCPC) results
plot.HMFA | Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs
plot.MCA | Draw the Multiple Correspondence Analysis (MCA) graphs
plot.meansComp | Draw the means comparisons
plot.MFA | Draw the Multiple Factor Analysis (MFA) graphs
plot.PCA | Draw the Principal Component Analysis (PCA) graphs
plotellipses | Draw confidence ellipses around the categories
plotGPApartial | Draw an interactive General Procrustes Analysis (GPA) map
plotMFApartial | Plot an interactive Multiple Factor Analysis (MFA) graph
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 Data
predict.LinearModel | Predict method for Linear Model Fits
predict.MCA | Predict projection for new rows with Multiple Correspondence Analysis
predict.MFA | Predict projection for new rows with Multiple Factor Analysis
predict.PCA | Predict projection for new rows with Principal Component Analysis
prefpls | Scatter plot and additional variables with quality of representation contour lines
print.AovSum | Print the AovSum results
print.CA | Print the Correspondance Analysis (CA) results
print.CaGalt | Print the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) results
print.catdes | Print the catdes results
print.condes | Print the condes results
print.FAMD | Print the Multiple Factor Analysis of mixt Data (FAMD) results
print.GPA | Print the Generalized Procrustes Analysis (GPA) results
print.HCPC | Print the Hierarchical Clustering on Principal Components (HCPC) results
print.HMFA | Print the Hierarchical Multiple Factor Analysis results
print.LinearModel | Print the LinearModel 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

## -- R --

reconst | Reconstruction of the data from the PCA, CA or MFA results
RegBest | Select variables in multiple linear regression

## -- S --

scale_colour_factominer | Theme for ggplot graphs and colour scales for FactoMineR
scale_colour_factominer_contrib | Theme for ggplot graphs and colour scales for FactoMineR
scale_colour_factominer_coord | Theme for ggplot graphs and colour scales for FactoMineR
scale_colour_factominer_cos2 | Theme for ggplot graphs and colour scales for FactoMineR
scale_colour_factominer_pvalue | Theme for ggplot graphs and colour scales for FactoMineR
scale_fill_factominer | Theme for ggplot graphs and colour scales for FactoMineR
scale_fill_factominer_contrib | Theme for ggplot graphs and colour scales for FactoMineR
scale_fill_factominer_coord | Theme for ggplot graphs and colour scales for FactoMineR
scale_fill_factominer_cos2 | Theme for ggplot graphs and colour scales for FactoMineR
scale_fill_factominer_pvalue | Theme for ggplot graphs and colour scales for FactoMineR
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

## -- T --

tab.disjonctif | Make a disjonctif table
tab.disjonctif.prop | Make a disjunctive table when missing values are present
tea | tea (data)
textual | Text mining
theme_factominer | Theme for ggplot graphs and colour scales for FactoMineR

## -- W --

wine | Wine
write.infile | Print in a file