How is multiple factor analysis used in FactoMineR?

How is multiple factor analysis used in FactoMineR?

Performs Multiple Factor Analysis in the sense of Escofier-Pages with supplementary individuals and supplementary groups of variables. Groups of variables can be quantitative, categorical or contingency tables. Missing values in numeric variables are replaced by the column mean.

When to use factor analysis of mixed data ( MFA )?

Factor analysis of mixed data (FAMD) is, a particular case of MFA, used to analyze a data set containing both quantitative and qualitative variables. fviz_famd () provides ggplot2-based elegant visualization of FAMD outputs from the R function: FAMD [FactoMineR].

How to use are factor analysis on mixed data?

The data is from a survey where subjects have answered questions of many types: yes/no; continuous; scales. My aim is to use FA as a method for analyzing the underlying factors. I do not yet know what factors I’m looking for.

What does FAMD stand for in factor analysis?

FAMD is a principal component method dedicated to explore data with both continuous and categorical variables. It can be seen roughly as a mixed between PCA and MCA.

When do you use multiple factor analysis ( MFA )?

Multiple factor analysis (MFA) (J. Pagès 2002) is a multivariate data analysis method for summarizing and visualizing a complex data table in which individuals are described by several sets of variables (quantitative and /or qualitative) structured into groups.

How to use multiple factor analysis in R?

MFA – Multiple Factor Analysis in R: Essentials. Multiple factor analysis (MFA) (J. Pagès 2002) is a multivariate data analysis method for summarizing and visualizing a complex data table in which individuals are described by several sets of variables (quantitative and /or qualitative) structured into groups.

How are variables organized in multiple factor analysis?

Multiple factor analysis can be used in a variety of fields (J. Pagès 2002), where the variables are organized into groups: Survey analysis, where an individual is a person; a variable is a question. Questions are organized by themes (groups of questions).