| 期刊全称 | Analyzing Compositional Data with R | | 影响因子2023 | K. Gerald van den Boogaart,Raimon Tolosana-Delgado | | 视频video | | | 发行地址 | Guides readers from the first steps of a descriptive analysis to the application of multivariate methods.Covers the most commonly used statistical methods in scientific applications.Includes a wealth | | 学科分类 | Use R! | | 图书封面 |  | | 影响因子 | .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 scientist | | Pindex | Book 2013 |
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发表于 2025-3-21 20:00:14
