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Analyzing compositional data with R

Author: K Gerald van den Boogaart; Raimon Tolosana-Delgado
Publisher: Berlin ; New York : Springer, ©2013.
Series: Use R!
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Boogaart, K. Gerald van den.
Analyzing compositional data with R.
Heidelberg : Springer, ©2013
(DLC) 2013940100
(OCoLC)827083643
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: K Gerald van den Boogaart; Raimon Tolosana-Delgado
ISBN: 9783642368097 3642368093
OCLC Number: 852961394
Description: 1 online resource (xv, 258 pages) : illustrations (some color).
Contents: Introduction --
What are compositional data? --
Getting started with R --
References --
Fundamental concepts of compositional data analysis --
A practical view to compositional concepts --
Principles of compositional analysis --
Elementary compositional graphics --
Multivariate scales --
The Aitchison simplex --
References --
Distributions for random compositions --
Continuous distribution models --
Models for count compositions --
Relations between distributions --
References --
Descriptive analysis of compositional data --
Descriptive statistics --
Exploring marginals --
Exploring projections --
References --
Linear models for compositions --
Introduction --
Compositions as independent variables --
Compositions as dependent variables --
Compositions as both dependent and independent variables --
Advanced considerations --
References --
Multivariate statistics --
Principal component analysis: exploring codependence --
Cluster analysis: detecting natural groups --
Discriminant analysis --
Other multivariate techniques --
References --
Zeros, missings, and outliers --
Descriptive analysis with and of missings --
Working with missing values --
Outliers --
Descriptive analysis of outliers --
Working with outliers --
References.
Series Title: Use R!
Responsibility: K. Gerald van den Boogaart, Raimon Tolosana-Delgado.

Abstract:

This book covers statistical analysis of compositional data sets from basic principles to applications in descriptive exploratory analysis, robust linear models and advanced multivariate statistical  Read more...

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From the reviews:"This book offers not only the theoretical background to analyse and interpret compositional data, but also the R support and guidance for the compositions package. The book is Read more...

 
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