 | Compositional Data Analysis in Practice Subjects: Behavioral Sciences; Mathematics & Statistics; Psychological Science; Statistics & Probability; Psychological Methods & Statistics; Statistics; Compositional Data Analysis in Practice isa user-oriented practical guide to the analysis of data with the property of aconstant sum, for example percentages adding up to 100%. Compositional data cangive misleading results if regular statistical methods are applied,and are best analysed by first transformingthem to logarithms of ratios. This book explains how this transformationaffects the analysis, results and interpretation of this very special type ofdata. All aspects of compositional data analysis are considered: visualization,modelling, dimension-reduction, clustering and variable selection, with manyexamples in the fields of food science, archaeology, sociology andbiochemistry, and a final chapter containing a complete case study using fattyacid compositions in ecology. The applicability of these methods extends toother fields such as linguistics, geochemistry, marketing, economics andfinance. R Software The following repository contains data files and R scripts fromthe book https://github.com/michaelgreenacre/CODAinPractice . TheR package easyCODA , which accompanies this book, isavailable on CRAN -- note that you should have version 0.25 or higher. Thelatest version of the package will always be available on R-Forge and can beinstalled from R with this instruction: install.packages ("easyCODA",repos="http://R-Forge.R-project.org"). Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Correspondence Analysis in Practice (Third Edition) in 2016. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science. |
