Analyzing Compositional Data with R
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 line
- PDF / 5,503,147 Bytes
- 269 Pages / 439.42 x 666.14 pts Page_size
- 32 Downloads / 281 Views
K. Gerald van den Boogaart Raimon Tolosana-Delgado
Analyzing Compositional Data with R
Use R! Series Editors Robert Gentleman Kurt Hornik Giovanni G. Parmigiani
For further volumes: http://www.springer.com/series/6991
K. Gerald van den Boogaart Raimon Tolosana-Delgado
Analyzing Compositional Data with R
123
K. Gerald van den Boogaart Raimon Tolosana-Delgado Freiberg for Resources Technology Helmholtz Institute Freiberg Germany Series Editors: Robert Gentleman Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Avenue, N. M2-B876 Seattle, Washington 98109 USA
Kurt Hornik Department of Statistik and Mathematik Wirtschaftsuniversit¨at Wien Augasse 2-6 A-1090 Wien Austria
Giovanni Parmigiani The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University 550 North Broadway Baltimore, MD 21205-2011 USA
ISBN 978-3-642-36808-0 ISBN 978-3-642-36809-7 (eBook) DOI 10.1007/978-3-642-36809-7 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013940100 Mathematics Subject Classification: 62H99 (general multivariate methods), 62J05 (linear regression), 62P12 (environmental applications) © Springer-Verlag Berlin Heidelberg 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (w
Data Loading...
