| Compositional Data Analysis in Practice Contributor(s): Greenacre, Michael (Author) |
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ISBN: 1138316431 ISBN-13: 9781138316430 Publisher: CRC Press OUR PRICE: $60.79 Product Type: Paperback - Other Formats Published: August 2018 |
| Additional Information |
| BISAC Categories: - Business & Economics | Statistics - Mathematics | Probability & Statistics - General - Science | Research & Methodology |
| Dewey: 001.42 |
| LCCN: 2018017447 |
| Series: Chapman & Hall/CRC Interdisciplinary Statistics |
| Physical Information: 122 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. R Software The following repository contains data files and R scripts from the book https: //github.com/michaelgreenacre/CODAinPractice. The R package easyCODA, which accompanies this book, is available on CRAN -- note that you should have version 0.25 or higher. The latest version of the package will always be available on R-Forge and can be installed from R with this instruction: install.packages(easyCODA, repos=http: //R-Forge.R-project.org). |