Applied Compositional Data Analysis With Worked Examples in R /

• Main Authors: Filzmoser, Peter (Author, http://id.loc.gov/vocabulary/relators/aut), Hron, Karel (http://id.loc.gov/vocabulary/relators/aut), Templ, Matthias (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Series in Statistics,
• Subjects: Statistics .; Geochemistry.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistics and Computing/Statistics Programs.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Social Sciences, Humanities, Law.

This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and...

Table of Contents:

• Preface
• Acknowledgements
• Compositional data as a methodological concept
• Analyzing compositional data using R
• Geometrical properties of compositional data
• Exploratory data analysis and visualization
• First steps for a statistical analysis
• Cluster analysis
• Principal component analysis
• Correlation analysis
• Discriminant analysis
• Regression analysis
• Methods for high-dimensional compositional data
• Compositional tables
• Preprocessing issues
• Index.-.