| 書(shū)目名稱(chēng) | Multivariate Analysis of Ecological Data with ade4 | | 編輯 | Jean Thioulouse,Stéphane Dray,Sandrine Pavoine | | 視頻video | http://file.papertrans.cn/642/641284/641284.mp4 | | 概述 | Covers Data importation and Analysis of ecological data in ade4.Covers Data Segmentation and full use of ade4 methods and techniques.Covers in Detail many multivariate modeling techniques | | 圖書(shū)封面 |  | | 描述 | .This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis.? The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems.? These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods..The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs..In each chapter, the basic mathema | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Biostatistics; Multivariate Analysis; R Applications; Statistical Ecology; ade 4 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4939-8850-1 | | isbn_softcover | 978-1-4939-9402-1 | | isbn_ebook | 978-1-4939-8850-1 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2018 |
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