Transcription of An Introduction to Applied Multivariate Analysis with R ...
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An Introduction to Applied Multivariate Analysis with R ...
UseR!SeriesEditors:RobertGentlemanKurtHo rnikGiovanniParmigianiForothertitlespubl ishedinthisseries, An Introduction to AppliedMultivariate Analysis with RBrian Everitt Torsten Hothorn Series Editors:Robert GentlemanProgram in Computational BiologyDivision of Public Health SciencesFred Hutchinson Cancer Research Center1100 Fairview Avenue, N. M2-B876 USAKurt HornikDepartment of Statistik and MathematikWirtschaftsuniversit t WienA-1090 WienAustriaGiovanni ParmigianiThe Sidney Kimmel ComprehensiveCancer Center at Johns Hopkins University550 North BroadwayBaltimore, MD 21205-2011 USAA ugasse 2-6 Seattle, Washington 98109 Printed on acid-free paper Springer New York Dordrecht Heidelberg London Springer Science+Business Media, LLC 2011 software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. subject to proprietary rights. Springer is part of Springer Science+Business Media ( ) ISBN 978-1-4419-9649-7e-ISBN 978-1-4419-9650-3 DOI of Congress Control Number: 2011926793 All rights reserved.
considerable, and their routine use requires a suitable software package. In addition, most analyses of multivariate data should involve the construction of appropriate graphs and diagrams, and this will also need to be carried out using the same package. R is a statistical computing environment that is powerful,
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