It takes the average reader 4 hours and 38 minutes to read Multiple Factor Analysis by Example Using R by Jérôme Pagès
Assuming a reading speed of 250 words per minute. Learn more
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.
Multiple Factor Analysis by Example Using R by Jérôme Pagès is 274 pages long, and a total of 69,596 words.
This makes it 92% the length of the average book. It also has 85% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 20 minutes to read Multiple Factor Analysis by Example Using R aloud.
Multiple Factor Analysis by Example Using R is suitable for students ages 12 and up.
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