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FactoMineR

You can see the Website dedicated to FactoMineR (link for English version, and for the French version)

How do you install the latest version of FactoMineR available on GitHub?

if (!require("devtools")) install.packages("devtools")
library(devtools)
install_github("husson/FactoMineR")

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Version

Install

install.packages('FactoMineR')

Monthly Downloads

104,140

Version

2.4

License

GPL (>= 2)

Maintainer

Francois Husson

Last Published

December 11th, 2020

Functions in FactoMineR (2.4)

Multiple Correspondence Analysis (MCA)

Number of medals in athletism during olympic games per country

Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt)

Dual Multiple Factor Analysis (DMFA)

Factor Analysis for Mixed Data

Hierarchical Clustering on Principle Components (HCPC)

Calculate the RV coefficient and test its significance

Correspondence Analysis (CA)

Hierarchical Multiple Factor Analysis

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

FactoMineR-package

Multivariate Exploratory Data Analysis and Data Mining with R

Multiple Factor Analysis (MFA)

Continuous variable description

Categories description

Principal Component Analysis (PCA)

geomorphology(data)

Description of frequencies

Dimension description

Select variables in multiple linear regression

Draw the General Procrustes Analysis (GPA) map

Draw an interactive General Procrustes Analysis (GPA) map

Children (data)

Make graph of variables

Plots for description of clusters (catdes)

Generalised Procrustes Analysis

Function to better position the labels on the graphs

Draw confidence ellipses around the categories

Predict projection for new rows with Multiple Factor Analysis

Construct confidence ellipses

Performance in decathlon (data)

Draw the Dual Multiple Factor Analysis (DMFA) graphs

Draw the Correspondence Analysis (CA) graphs

Draw the Multiple Factor Analysis for Mixt Data graphs

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

Draw the Principal Component Analysis (PCA) graphs

Plot an interactive Multiple Factor Analysis (MFA) graph

Predict projection for new rows with Principal Component Analysis

Scatter plot and additional variables with quality of representation contour lines

Draw confidence ellipses in CA

Print the Correspondance Analysis (CA) results

Make a disjonctif table

tab.disjonctif.prop

Make a disjunctive table when missing values are present

Draw the Multiple Factor Analysis (MFA) graphs

Draw the Multiple Correspondence Analysis (MCA) graphs

Predict projection for new rows with Factor Analysis of Mixed Data

Predict projection for new rows with Multiple Correspondence Analysis

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

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

Print the catdes results

Estimate the number of components in Principal Component Analysis

Print the Principal Component Analysis (PCA) results

Plots for Hierarchical Classification on Principle Components (HCPC) results

Print the AovSum results

Printing summeries of PCA objects

Print the Hierarchical Clustering on Principal Components (HCPC) results

Print the Hierarchical Multiple Factor Analysis results

Singular Value Decomposition of a Matrix

The cause of mortality in France in 1979 and 2006

Genomic data for chicken

Print in a file

Predict projection for new rows with Correspondence Analysis

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

Print the Generalized Procrustes Analysis (GPA) results

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

Printing summeries of ca objects

Printing summeries of MCA objects

Simulate by bootstrap

Print the Multiple Correspondance Analysis (MCA) results

Print the Multiple Factor Analysis results

Printing summaries of CaGalt objects

Printing summeries of FAMD objects

Printing summaries of MFA objects