MichaelGreenacre
Compositional Data Analysis in Practice
Compositional Data Analysis in Practice
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The book "Mathematical Aspects of Data Analysis in Ecology with R" is a comprehensive guide that covers various mathematical topics related to data analysis in ecology, using the R programming language. It offers a unique didactic format with concise study material, illustrative figures, and end-of-chapter summaries. The book is designed for students and applied researchers, providing a compact theoretical appendix and numerous examples from diverse disciplines. Additionally, it includes a computational appendix that documents the easyCODA package for R, enabling readers to reproduce the results. A supporting website offers data sets, R scripts, and additional study material to enhance the learning experience.
Format: Paperback / softback
Length: 122 pages
Publication date: 26 July 2018
Publisher: Taylor & Francis Ltd
A unique and innovative teaching approach is presented in this book, characterized by a distinct format that ensures each chapter consists of precisely eight pages of comprehensive study material. Numerous illustrative figures are included to enhance understanding and clarity, while an end-of-chapter summary provides a concise recap of the key concepts covered. This book is designed specifically for students and applied researchers, offering a comprehensive yet concise coverage of mathematical concepts.
To facilitate a deeper understanding, a compact theoretical appendix is included, providing a comprehensive overview of the mathematical topics discussed. Numerous examples from a diverse range of disciplines are provided to illustrate the practical applications of the mathematical principles. Additionally, a computational appendix is included, documenting the easyCODA package for R, a software tool developed by the author. This appendix enables readers to reproduce the results and further explore the capabilities of the package.
To support the learning process, a comprehensive supporting website is available. It offers a wealth of data sets, R scripts, and additional study material, allowing readers to delve deeper into the topics and expand their knowledge. Whether you are a student seeking to enhance your mathematical skills or an applied researcher looking for a reliable reference, this book is an invaluable resource that will help you achieve your goals.
Weight: 250g
Dimension: 235 x 171 x 8 (mm)
ISBN-13: 9781138316430
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