Multiple Factor Analysis by Example Using R

Jerome Pages

Anno: 2014
Rilegatura: Hardback
Pagine: 272 p.
Testo in English
Dimensioni: 235 x 156 mm
Peso: 522 gr.
  • EAN: 9781482205473
pagabile con 18App pagabile con Carta del Docente

Articolo acquistabile con 18App e Carta del Docente

€ 74,10

€ 79,68

Risparmi € 5,58 (7%)

Venduto e spedito da IBS

74 punti Premium

Disponibile in 5 gg lavorativi

Quantità:
Descrizione
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.