Links

F. Husson website





Book Exploratory Multivariate Analysis Using R

Outline

Introduction

Principal Component Analysis

Correspondence Analysis

Multiple Correspondence Analysis

Clustering

Multiple Factor Analysis

To conclude

Forum

Principal Component Analysis - PCA

The method we're going to present is called principal components analysis, or PCA It allows to analyze data tables with individuals as rows, and the quantitative variables that characterize them as columns.

The course and the sofware implementation

PCAFacto Quiz 1 Diaporama   Transciption audio  
PCAFacto Quiz 2
PCAFacto Quiz 3 Data     Data     ACP Facto  
ACP Facto Transciption audio Data     Data    ACP Facto  

The exercices

exercice          exercice sur ordinateur

To go further: handling missing values

And here is a video that gives more information on the management of missing data.
handling missing values
PCAFacto