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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

77,473

Version

1.42

License

GPL (>= 2)

Maintainer

Francois Husson

Last Published

July 3rd, 2019

Functions in FactoMineR (1.42)

FactoMineR-package

Multivariate Exploratory Data Analysis and Data Mining with R

Factor Analysis for Mixed Data

Hierarchical Clustering on Principle Components (HCPC)

Multiple Correspondence Analysis (MCA)

Hierarchical Multiple Factor Analysis

Number of medals in athletism during olympic games per country

Correspondence Analysis (CA)

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

Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt)

Dual Multiple Factor Analysis (DMFA)

Multiple Factor Analysis (MFA)

Continuous variable description

Construct confidence ellipses

Calculate the RV coefficient and test its significance

Principal Component Analysis (PCA)

Dimension description

Function to better position the labels on the graphs

Description of frequencies

Performance in decathlon (data)

Select variables in multiple linear regression

Categories description

Estimate the number of components in Principal Component Analysis

Children (data)

Draw confidence ellipses in CA

Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs

Plots for Hierarchical Classification on Principle Components (HCPC) results

Draw the Multiple Factor Analysis for Mixt Data graphs

Draw the Dual Multiple Factor Analysis (DMFA) graphs

geomorphology(data)

Make graph of variables

Genomic data for chicken

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

Predict projection for new rows with Correspondence Analysis

Generalised Procrustes Analysis

Draw the Correspondence Analysis (CA) graphs

Plot an interactive Multiple Factor Analysis (MFA) graph

Plots for description of clusters (catdes)

The cause of mortality in France in 1979 and 2006

Draw the Multiple Correspondence Analysis (MCA) graphs

Predict projection for new rows with Multiple Factor Analysis

Print the Multiple Correspondance Analysis (MCA) results

Printing summeries of MCA objects

Predict projection for new rows with Principal Component Analysis

Draw confidence ellipses around the categories

Print the Multiple Factor Analysis results

Printing summaries of MFA objects

Draw the General Procrustes Analysis (GPA) map

Draw the Principal Component Analysis (PCA) graphs

Draw the Multiple Factor Analysis (MFA) graphs

Predict projection for new rows with Multiple Correspondence Analysis

Predict projection for new rows with Factor Analysis of Mixed Data

Printing summaries of CaGalt objects

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

Printing summeries of FAMD objects

Draw an interactive General Procrustes Analysis (GPA) map

Print the Generalized Procrustes Analysis (GPA) results

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

Print the Hierarchical Clustering on Principal Components (HCPC) results

Print the Hierarchical Multiple Factor Analysis results

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

Printing summeries of ca objects

Print the Correspondance Analysis (CA) results

Simulate by bootstrap

Singular Value Decomposition of a Matrix

Printing summeries of PCA objects

Print in a file

Scatter plot and additional variables with quality of representation contour lines

Print the AovSum results

tab.disjonctif.prop

Make a disjunctive table when missing values are present

Print the catdes results

Make a disjonctif table

Print the Principal Component Analysis (PCA) results