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Compositional Data Analysis in Practice (Hardcover)
Loot Price: R3,454
Discovery Miles 34 540
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Compositional Data Analysis in Practice (Hardcover)
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Expected to ship within 12 - 17 working days
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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").
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