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[R语言]Using R for Numerical Analysis in Science and Engineering

[Victor A. Bloomfield]Using R for Numerical Analysis in Science and Engineering R经典英文书籍
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Victor A. Bloomfield
University of Minnesota
Minneapolis, USA
Using R for Numerical
Analysis in Science
and Engineering
K13976_FM.indd 1 3/24/14 11:19 AM
© 2014 by Taylor & Francis Group, LLC

Chapman & Hall/CRC
The R Series
John M. Chambers
Department of Statistics
Stanford University
Stanford, California, USA
Duncan Temple Lang
Department of Statistics
University of California, Davis
Davis, California, USA
Torsten Hothorn
Division of Biostatistics
University of Zurich
Switzerland
Hadley Wickham
RStudio
Boston, Massachusetts, USA
Aims and Scope
This book series reects the recent rapid growth in the development and application
of R, the programming language and software environment for statistical computing
and graphics. R is now widely used in academic research, education, and industry.
It is constantly growing, with new versions of the core software released regularly
and more than 5,000 packages available. It is difcult for the documentation to
keep pace with the expansion of the software, and this vital book series provides a
forum for the publication of books covering many aspects of the development and
application of R.
The scope of the series is wide, covering three main threads:
• Applications of R to specic disciplines such as biology, epidemiology,
genetics, engineering, nance, and the social sciences.
• Using R for the study of topics of statistical methodology, such as linear and
mixed modeling, time series, Bayesian methods, and missing data.
• The development of R, including programming, building packages, and
graphics.
The books will appeal to programmers and developers of R software, as well as
applied statisticians and data analysts in many elds. The books will feature
detailed worked examples and R code fully integrated into the text, ensuring their
usefulness to researchers, practitioners and students.
Series Editors
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© 2014 by Taylor & Francis Group, LLC

Published Titles
Using R for Numerical Analysis in Science and Engineering , Victor A. Bloomfield
Event History Analysis with R, Göran Broström
Computational Actuarial Science with R, Arthur Charpentier
Statistical Computing in C++ and R, Randall L. Eubank and Ana Kupresanin
Reproducible Research with R and RStudio, Christopher Gandrud
Displaying Time Series, Spatial, and Space-Time Data with R,
Oscar Perpiñán Lamigueiro
Programming Graphical User Interfaces with R, Michael F. Lawrence
and John Verzani
Analyzing Baseball Data with R, Max Marchi and Jim Albert
Growth Curve Analysis and Visualization Using R, Daniel Mirman
R Graphics, Second Edition, Paul Murrell
Customer and Business Analytics: Applied Data Mining for Business Decision
Making Using R, Daniel S. Putler and Robert E. Krider
Implementing Reproducible Research, Victoria Stodden, Friedrich Leisch,
and Roger D. Peng
Dynamic Documents with R and knitr, Yihui Xie
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© 2014 by Taylor & Francis Group, LLC

MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant
the accuracy of the text or exercises in this book. This book’s use or discussion of MATLAB® software or related
products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach
or particular use of the MATLAB® software.
CRC Press
Taylor & Francis Group
6000 Broken Sound Parkway NW, Suite 300
Boca Raton, FL 33487-2742
© 2014 by Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Printed on acid-free paper
Version Date: 20140220
International Standard Book Number-13: 978-1-4398-8448-5 (Hardback)
This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been
made to publish reliable data and information, but the author and publisher cannot assume responsibility for the
validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the
copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to
publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let
us know so we may rectify in any future reprint.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted,
or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, includ-
ing photocopying, microfilming, and recording, or in any information storage or retrieval system, without written
permission from the publishers.
For permission to photocopy or use material electronically from this work, please access www.copyright.com
(http://www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers,
MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety
of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment
has been arranged.
Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for
identification and explanation without intent to infringe.
Library of Congress Cataloging‑in‑Publication Data
Bloomfield, Victor A., author.
Using R for numerical analysis in science and engineering / Victor A. Bloomfield.
pages cm. -- (Chapman & Hall/CRC the R series)
Summary: “This book shows how the free and open-source R environment can be used as a
powerful and comprehensive platform for the kinds of numerical analysis that are traditionally
employed by MATLAB?. With R code fully integrated, the book offers brief descriptions of
basic approaches and emphasizes detailed worked examples. It covers functions in the base
installation of R as well as those in contributed packages, which greatly enhance the numerical
analysis capabilities of R”-- Provided by publisher.
Includes bibliographical references and index.
ISBN 978-1-4398-8448-5 (hardback)
1. Science--Data processing. 2. Engineering--Data processing. 3. Numerical analysis. 4. R
(Computer program language) I. Title.
Q183.9.B56 2014
518.0285’5133--dc23 2014003930
Visit the Taylor & Francis Web site at
http://www.taylorandfrancis.com
and the CRC Press Web site at
http://www.crcpress.com
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© 2014 by Taylor & Francis Group, LLC
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