By Jérôme Pagès
Multiple issue research (MFA) permits clients to research tables of people and variables within which the variables are established into quantitative, qualitative, or combined teams. Written by way of the co-developer of this system, Multiple issue research by way of instance utilizing R brings jointly the theoretical and methodological features of MFA. it is also examples of purposes and information of the way to enforce MFA utilizing an R package deal (FactoMineR).
The first chapters conceal the fundamental factorial research tools of vital part research (PCA) and a number of correspondence research (MCA). the subsequent bankruptcy discusses issue research for combined info (FAMD), a little-known process for at the same time studying quantitative and qualitative variables with no workforce contrast. concentrating on MFA, next chapters learn the foremost issues of MFA within the context of quantitative variables in addition to qualitative and combined information. the writer additionally compares MFA and Procrustes research and provides a average extension of MFA: hierarchical MFA (HMFA). the ultimate bankruptcy explores numerous parts of matrix calculation and metric areas utilized in the book.
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