Factor analysis

Principal component analysis
Correspondence Analysis
Multiple correspondence Analysis

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Articles contained by this category :  

ade4 and factoextra : Correspondence Analysis - R software and data mining
ade4 and factoextra : Principal Component Analysis - R software and data mining
ca package and factoextra : Correspondence Analysis - R software and data mining
Correspondence analysis basics - R software and data mining
Correspondence Analysis in R: The Ultimate Guide for the Analysis, the Visualization and the Interpretation - R software and data mining
FactoMineR and factoextra : Principal Component Analysis Visualization - R software and data mining
MASS package and factoextra : Correspondence Analysis - R software and data mining
Multiple Correspondence Analysis Essentials: Interpretation and application to investigate the associations between categories of multiple qualitative variables - R software and data mining
Principal component analysis : the basics you should read - R software and data mining
Principal component analysis in R : prcomp() vs. princomp() - R software and data mining
Principal Component Analysis: How to reveal the most important variables in your data? - R software and data mining
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