MFA - Multiple Factor Analyis with R (FactoMineR & Factoshiny)
MFA is a method that allows you to visualize and compare different sources of informations. This video shows how to compare groups of variables, manage missing data, improve the graphs. Compare the results of several PCAs or MCAs.
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Exploratory Factor Analysis
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StatQuest: Principal Component Analysis (PCA), Step-by-Step
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Tutorial on MCA - Multiple Correspondence Analysis - with R (Factoshiny & FactoMineR)
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Correspondence Analysis (part 1/5): Introduction
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Explore your data using R programming
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Correspondence Analysis: The One Advanced Technique Every Researcher Needs
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Handling missing values in PCA
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Mutltiple Correspondence Analysis (Part 1/4: Data - issues)
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ggplot for plots and graphs. An introduction to data visualization using R programming
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Understanding and Applying Factor Analysis in R
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Best Practices
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