Compositional Data Analysis in Practice

v:* {behavior:url(#default#VML);}o:* {behavior:url(#default#VML);}w:* {behavior:url(#default#VML);}.shape {behavior:url(#default#VML);} Singh, Vaishali Singh, Vaishali 1 2 2020-03-18T10:11:00Z 2020-03-18T10:13:00Z 1 215 1231 10 2 1444 16.00 True 2567d566-604c-408a-8a60-55d0dc9d9d6b [email protected] 2020-03-18T10:13:02.2479974Z General Microsoft Azure Information Protection 387ffd52-0228-4a38-a119-3f3c08011630 Automatic True 2567d566-604c-408a-8a60-55d0dc9d9d6b [email protected] 2020-03-18T10:13:02.2479974Z Un-restricted Microsoft Azure Information Protection 387ffd52-0228-4a38-a119-3f3c08011630 181c070e-054b-4d1c-ba4c-fc70b099192e Automatic General Un-restricted Clean Clean false false false false EN-US X-NONE X-NONE /* Style Definitions */table.MsoNormalTable {mso-style-name:"e;Table Normal"e;; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:"e;"e;; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"e;Calibri"e;,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"e;Times New Roman"e;; mso-bidi-theme-font:minor-bidi;} 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 SoftwareThe 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).