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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

124,268

Version

2.0

License

GPL (>= 2)

Maintainer

Francois Husson

Last Published

November 25th, 2019

Functions in FactoMineR (2.0)

Factor Analysis for Mixed Data

Hierarchical Clustering on Principle Components (HCPC)

Dual Multiple Factor Analysis (DMFA)

Correspondence Analysis (CA)

FactoMineR-package

Multivariate Exploratory Data Analysis and Data Mining with R

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

Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt)

Number of medals in athletism during olympic games per country

Hierarchical Multiple Factor Analysis

Multiple Correspondence Analysis (MCA)

Construct confidence ellipses

Performance in decathlon (data)

Continuous variable description

Calculate the RV coefficient and test its significance

Principal Component Analysis (PCA)

Multiple Factor Analysis (MFA)

Children (data)

Categories description

Function to better position the labels on the graphs

Select variables in multiple linear regression

Draw confidence ellipses in CA

Estimate the number of components in Principal Component Analysis

Dimension description

Description of frequencies

Make graph of variables

Generalised Procrustes Analysis

geomorphology(data)

Draw the Correspondence Analysis (CA) graphs

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

Plots for Hierarchical Classification on Principle Components (HCPC) results

The cause of mortality in France in 1979 and 2006

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

Draw the Dual Multiple Factor Analysis (DMFA) graphs

Draw the Multiple Factor Analysis for Mixt Data graphs

Draw the Multiple Correspondence Analysis (MCA) graphs

Genomic data for chicken

Scatter plot and additional variables with quality of representation contour lines

Draw the Principal Component Analysis (PCA) graphs

Plot an interactive Multiple Factor Analysis (MFA) graph

Predict projection for new rows with Correspondence Analysis

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

Print the AovSum results

Draw the General Procrustes Analysis (GPA) map

Draw an interactive General Procrustes Analysis (GPA) map

Draw the Multiple Factor Analysis (MFA) graphs

Predict projection for new rows with Multiple Correspondence Analysis

Print the Hierarchical Clustering on Principal Components (HCPC) results

Predict projection for new rows with Factor Analysis of Mixed Data

Print the Hierarchical Multiple Factor Analysis results

Print the Generalized Procrustes Analysis (GPA) results

Printing summeries of MCA objects

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

Predict projection for new rows with Multiple Factor Analysis

Singular Value Decomposition of a Matrix

Print the catdes results

Printing summeries of PCA objects

Print the Principal Component Analysis (PCA) results

Print in a file

Print the Multiple Correspondance Analysis (MCA) results

Predict projection for new rows with Principal Component Analysis

Printing summaries of MFA objects

Make a disjonctif table

tab.disjonctif.prop

Make a disjunctive table when missing values are present

Print the Multiple Factor Analysis results

Plots for description of clusters (catdes)

Draw confidence ellipses around the categories

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

Simulate by bootstrap

Print the Correspondance Analysis (CA) results

Printing summaries of CaGalt objects

Printing summeries of ca objects

Printing summeries of FAMD objects