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FactoMineR (version 1.41)

Multivariate Exploratory Data Analysis and Data Mining

Description

Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017) .

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Install

install.packages('FactoMineR')

Monthly Downloads

153,780

Version

1.41

License

GPL (>= 2)

Maintainer

Last Published

May 4th, 2018

Functions in FactoMineR (1.41)