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Analyzing Compositional Data with R

Analyzing Compositional Data with R book

Analyzing Compositional Data with R

Only 1 item left in stock
Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
276
Release Date:
2013-07-09
Publication Date:
2013-07-09
Publisher:
Springer
Languages:
Original: English
ISBN10:
3642368085
ISBN13:
9783642368080
GPSR Manufacturer Reference:
[email protected]
Weight:
423 g
Height:
155 cm
Width:
235 cm
Thickness:
16 cm

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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