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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

75,776

Version

2.2

License

GPL (>= 2)

Maintainer

Francois Husson

Last Published

February 5th, 2020

Functions in FactoMineR (2.2)

Hierarchical Clustering on Principle Components (HCPC)

Hierarchical Multiple Factor Analysis

Factor Analysis for Mixed Data

Correspondence Analysis (CA)

Multiple Correspondence Analysis (MCA)

Number of medals in athletism during olympic games per country

Function to better position the labels on the graphs

Dual Multiple Factor Analysis (DMFA)

Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt)

Select variables in multiple linear regression

Continuous variable description

Calculate the RV coefficient and test its significance

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

geomorphology(data)

Plots for Hierarchical Classification on Principle Components (HCPC) results

Multiple Factor Analysis (MFA)

Categories description

Generalised Procrustes Analysis

FactoMineR-package

Multivariate Exploratory Data Analysis and Data Mining with R

Children (data)

Make graph of variables

Principal Component Analysis (PCA)

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

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

Performance in decathlon (data)

Print the Generalized Procrustes Analysis (GPA) results

Draw the Multiple Factor Analysis (MFA) graphs

Predict projection for new rows with Multiple Factor Analysis

Description of frequencies

The cause of mortality in France in 1979 and 2006

Construct confidence ellipses

Print the Principal Component Analysis (PCA) results

Draw the Multiple Correspondence Analysis (MCA) graphs

Predict projection for new rows with Principal Component Analysis

Draw confidence ellipses in CA

Print the Multiple Correspondance Analysis (MCA) results

Printing summaries of MFA objects

Printing summeries of MCA objects

Dimension description

Make a disjonctif table

Print the Multiple Factor Analysis results

Predict projection for new rows with Correspondence Analysis

Draw the General Procrustes Analysis (GPA) map

Genomic data for chicken

Predict projection for new rows with Factor Analysis of Mixed Data

Estimate the number of components in Principal Component Analysis

Draw the Multiple Factor Analysis for Mixt Data graphs

Predict projection for new rows with Multiple Correspondence Analysis

Print in a file

tab.disjonctif.prop

Make a disjunctive table when missing values are present

Print the catdes results

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

Draw an interactive General Procrustes Analysis (GPA) map

Draw the Dual Multiple Factor Analysis (DMFA) graphs

Plot an interactive Multiple Factor Analysis (MFA) graph

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

Draw the Principal Component Analysis (PCA) graphs

Print the Correspondance Analysis (CA) results

Draw the Correspondence Analysis (CA) graphs

Print the Hierarchical Multiple Factor Analysis results

Draw confidence ellipses around the categories

Plots for description of clusters (catdes)

Printing summeries of PCA objects

Scatter plot and additional variables with quality of representation contour lines

Print the Hierarchical Clustering on Principal Components (HCPC) results

Print the AovSum results

Simulate by bootstrap

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

Printing summeries of ca objects

Printing summaries of CaGalt objects

Printing summeries of FAMD objects

Singular Value Decomposition of a Matrix