
- 120 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Compositional Data Analysis in Practice
About this book
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.
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Yes, you can access Compositional Data Analysis in Practice by Michael Greenacre in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Preface
- 1 What are compositional data, and why are they special?
- 2 Geometry and visualization of compositional data
- 3 Logratio transformations
- 4 Properties and distributions of logratios
- 5 Regression models involving compositional data
- 6 Dimension reduction using logratio analysis
- 7 Clustering of compositional data
- 8 Problem of zeros, with some solutions
- 9 Simplifying the task: variable selection
- 10 Case study: Fatty acids of marine amphipods
- A Appendix: Theory of compositional data analysis
- B Appendix: Bibliography of compositional data analysis
- C Appendix: Computation of compositional data analysis
- D Appendix: Glossary of terms
- E Appendix: Epilogue
- Index