Analyzing Compositional Data with R

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book Analyzing Compositional Data with R by K. Gerald van den Boogaart, Raimon Tolosana-Delgado, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: K. Gerald van den Boogaart, Raimon Tolosana-Delgado ISBN: 9783642368097
Publisher: Springer Berlin Heidelberg Publication: June 29, 2013
Imprint: Springer Language: English
Author: K. Gerald van den Boogaart, Raimon Tolosana-Delgado
ISBN: 9783642368097
Publisher: Springer Berlin Heidelberg
Publication: June 29, 2013
Imprint: Springer
Language: English

This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis.

Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software.

The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics.

Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples and code chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package “compositions,” it is also a general introductory text on Compositional Data Analysis.

Awareness of their special characteristics spread in the Geosciences in the early sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research has expanded our understanding of their theoretical principles and the potentials and limitations of their interpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications with regard to software.

The book is intended for scientists interested in statistically analyzing their compositional data. The subject enjoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum of recent applications also covers areas like medicine, official statistics, and economics.

Readers should be familiar with basic univariate and multivariate statistics. Knowledge of R is recommended but not required, as the book is self-contained.

More books from Springer Berlin Heidelberg

Cover of the book Logistik 2 by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Earth System Modelling - Volume 2 by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book The Surgery of Childhood Tumors by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Personalakquise im Krankenhaus by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Investigating Chinese HE EFL Classrooms by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book China’s Macroeconomic Outlook by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Photovoltaik by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Emerging Space Markets by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Aralkum - a Man-Made Desert by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Arthrography of the Knee Joint by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Forests and Rural Development by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Proteopathic Seeds and Neurodegenerative Diseases by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Laser by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Learning Genitourinary and Pelvic Imaging by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
Cover of the book Classical Trajectory Perspective of Atomic Ionization in Strong Laser Fields by K. Gerald van den Boogaart, Raimon Tolosana-Delgado
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy