Preface

Due to the extensive field of application, multiple factor analysis (MFA) is widely used today. This book is the first comprehensive account of the method in English: it brings together the theoretical and methodological aspects with application examples and details of how to implement them using an R package (FactoMineR).

In the same way as for principal component analysis (PCA) or multiple correspondence analysis (MCA), MFA is applied to tables in which a set of individuals (one individual = one row) is described by a set of variables (one variable = one column). The particularity of MFA lies in the fact that within the active variables, it can account for a group structure defined by the user. Such data tables are called individuals ...

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