About FactoMineR
FactoMineR is an R package dedicated to multivariate Exploratory Data Analysis. It is developed and maintained by François Husson, Julie Josse, Sébastien Lê, d'Agrocampus Rennes, and J. Mazet.
Why Use FactoMineR?
- It performs classical principal component methods: Principal Components Analysis (PCA), Correspondence analysis (CA), Multiple Correspondence Analysis (MCA), clustering
- as well as advanced methods that take into account a structure on the data (groups of variables, hierarchy on the variables, groups of individuals).
- It allows to add supplementary informations such as supplementary individuals and/or variables.
- It provides a geometrical point of view, a lot of graphical outputs, helps to interpret (automatic description of the dimensions, various indicators, ...).
- Lot of materials (MOOC, books, etc.) is available to explain the methods and the way to implement them in FactoMineR.
- It handles missing values with missMDA (see here).
- It has a a GUI with a Shiny interface that draws interactive graphs with Factoshiny (see here)
- It gives automatic interpretation of the results with FactoInvestigate (see here).