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Compositional Data Analysis in Practice by Michael Greenacre
Compositional Data Analysis in Practice by Michael Greenacre
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Compositional Data Analysis in Practice

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Description

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.

Author Biography:

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.
Release date NZ
August 1st, 2018
Audience
  • Postgraduate, Research & Scholarly
Illustrations
17 Tables, color; 46 Line drawings, color; 46 Illustrations, color
Pages
122
ISBN-13
9781138316430
Product ID
27865573

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