Analyzing Compositional Data with R

作者: K. Gerald van den Boogaart , Raimon Tolosana-Delgado

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摘要: This book presents the statistical analysis of compositional data sets, i.e., in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to practical use descriptive exploratory analysis, robust linear models and advanced multivariate methods, including zeros missing values, paying special attention visualization model display issues. Many illustrated examples code chunks guide reader into their modeling interpretation. And, though primarily serves as a reference for R package compositions, it also general introductory text on Compositional Data Analysis. Awareness characteristics spread Geosciences early sixties, but strategy properly dealing with them was not available until works Aitchison eighties. Since then, research has expanded our understanding theoretical potentials limitations first comprehensive textbook addressing these issues, well implications regard software.The intended scientists interested statistically analyzing data. enjoys relatively broad awareness geosciences environmental sciences, spectrum recent applications covers areas like medicine, official statistics, economics. Readers should be familiar basic univariate statistics. Knowledge recommended required, self-contained.

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