Description
Compositional data are quantitative descriptions of the parts of some whole, conveying exclusively relative information. Examples are found in various fields, including geology, medicine, chemistry, agriculture, economics, social science, etc. This concise book presents a very applied introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour figures, to illustrate the methods.
Table of Contents
What are compositional data, and why are they special?
Geometry and visualization of compositional data.
Logratio transformations.
Properties and distributions of logratios.
Regression models involving compositional data.
Dimension reduction using logratio analysis.
Clustering of compositional data.
The problem of zeros, with some solutions.
Simplifying the task: variable selection.
Case study: Fatty acids of marine amphipods.
Appendix A: Theory of compositional data analysis.
Appendix B Bibliography of compositional data analysis
Appendix C Computation of compositional data analysis
Appendix D Glossary of terms
Appendix E Epilogue
