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Statistical Computing in C++ and R 无水印原版pdf
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C6650
With the advancement of statistical methodology inextricably linked to the use
of computers, new methodological ideas must be translated into usable code
and then numerically evaluated relative to competing procedures. In response
to this, Statistical Computing in C++ and R concentrates on the writing of
code rather than the development and study of numerical algorithms per se. The
book discusses code development in C++ and R and the use of these symbiotic
languages in unison. It emphasizes that each offers distinct features that, when
used in tandem, can take code writing beyond what can be obtained from either
language alone.
The text begins with some basics of object-oriented languages, followed
by a “boot-camp” on the use of C++ and R. The authors then discuss code
development for the solution of specic computational problems that are relevant
to statistics including optimization, numerical linear algebra, and random number
generation. Later chapters introduce abstract data structures (ADTs) and parallel
computing concepts. The appendices cover R and UNIX Shell programming.
Features
• Includes numerous student exercises ranging from elementary to
challenging
• Integrates both C++ and R for the solution of statistical computing problems
• Uses C++ code in R and R functions in C++ programs
• Provides downloadable programs, available from the authors’ website
The translation of a mathematical problem into its computational analog (or
analogs) is a skill that must be learned, like any other, by actively solving relevant
problems. The text reveals the basic principles of algorithmic thinking essential
to the modern statistician as well as the fundamental skill of communicating with
a computer through the use of the computer languages C++ and R. The book
lays the foundation for original code development in a research environment.
Statistical Computing in C++ and R
Eubank
Kupresanin
Statistics
Statistical Computing
in C++ and R
Randall L. Eubank
Ana Kupresanin
The R Series
C6650_Cover.indd 1 10/26/11 9:31 AM
Statistical Computing
in C++ and R
C6650_FM.indd 1 10/27/11 4:15 PM
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
Institut für Statistik
Ludwig-Maximilians-Universität
München, Germany
Hadley Wickham
Department of Statistics
Rice University
Houston, Texas, 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 2,600 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
C6650_FM.indd 2 10/27/11 4:15 PM
Randall L. Eubank
Arizona State University
Tempe, California, USA
Ana Kupresanin
Lawrence Livermore National Laboratory
Livermore, California, USA
The R Series
Statistical Computing
in C++ and R
C6650_FM.indd 3 10/27/11 4:15 PM
Cover Image: Goran Konjevod/Organic Origami/organicorigami.com
CRC Press
Taylor & Francis Group
6000 Broken Sound Parkway NW, Suite 300
Boca Raton, FL 33487-2742
© 2011 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
Version Date: 20111214
International Standard Book Number-13: 978-1-4665-1537-6 (eBook - PDF)
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 valid-
ity 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 uti-
lized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopy-
ing, 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
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