This book provides practical guide to principal component methods in R
Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2)
โ Scribed by Alboukadel Kassambara
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No coin nor oath required. For personal study only.
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<ul><li>A comprehensive, compilation and evaluation of the newest results in the field of enumerate evaluation of chromatographic data <li>Aimed at the practicing professional, researchers and advanced students working in this area <li>Special emphasis on practical applications <li>While the princip
This book provides new research on principal component analysis (PCA). Chapter One introduces typical PCA applications of transcriptomic, proteomic and metabolomic data. Chapter Two studies the factor analysis of an outcome measurement survey for science, technology and society. Chapter Three examin
Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-fo