MEDA: Multivariate Exploratory Data Analysis with jamovi and FactoMineR

MEDA is jamovi module for multivariate exploratory data analysis methods such as Principal Components Analysis, Correspondence Analysis, Multiple Correspondence Analysis. Alongside those main methods, three other methods have been added to the modules: the description of a categorical or a continuous variable by categorical and continuous variables, the description of a categorical variable with a textual variable and finally, the description of a contingency table.

This tutorial was mostly written by Maxime Saland.

Links to the user guide for each of those methods are available below.

For the Automatic Univariate Description methods:

• Description of a categorical or continuous variable
• Description of a categorical variable by a textual variable
• Description of a contingency table

For the Multivariate Analysis methods:

• Principal Component Analysis
• Correspondence Analysis
• Multiple Correspondence Analysis