Quality Control with R An ISO Standards Approach
Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statist
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Emilio L. Cano Javier M. Moguerza Mariano Prieto Corcoba
Quality Control with R
An ISO Standards Approach
Use R! Series Editors: Robert Gentleman
Kurt Hornik
Giovanni Parmigiani
More information about this series at http://www.springer.com/series/6991
Use R! Albert: Bayesian Computation with R (2nd ed. 2009) Bivand/Pebesma/Gómez-Rubio: Applied Spatial Data Analysis with R (2nd ed. 2013) Cook/Swayne: Interactive and Dynamic Graphics for Data Analysis: With R and GGobi Hahne/Huber/Gentleman/Falcon: Bioconductor Case Studies Paradis: Analysis of Phylogenetics and Evolution with R (2nd ed. 2012) Pfaff: Analysis of Integrated and Cointegrated Time Series with R (2nd ed. 2008) Sarkar: Lattice: Multivariate Data Visualization with R Spector: Data Manipulation with R
Emilio L. Cano • Javier M. Moguerza Mariano Prieto Corcoba
Quality Control with R An ISO Standards Approach
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Emilio L. Cano Department of Computer Science and Statistics Rey Juan Carlos University Madrid, Spain
Javier M. Moguerza Department of Computer Science and Statistics Rey Juan Carlos University Madrid, Spain
Statistics Area, DHEP The University of Castilla-La Mancha Ciudad Real, Spain Mariano Prieto Corcoba ENUSA Industrias Avanzadas Madrid, Spain
ISSN 2197-5736 ISSN 2197-5744 (electronic) Use R! ISBN 978-3-319-24044-2 ISBN 978-3-319-24046-6 (eBook) DOI 10.1007/978-3-319-24046-6 Library of Congress Control Number: 2015952314 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www. springer.com)
To our families.
Foreword
Although it started almost two decades ago as a purely academic project, the R software has established itself as the leading language for statistical data analysis in many areas. The New York Times highlighted, in a 2009 article, this transition and point
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