Take advantage of a 20% discount on the most recent R books from Chapman & 
Hall/CRC! 

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*** NEW TITLES ***

SAS and R: Data Management, Statistical Analysis, and Graphics

Ken Kleinman, Harvard Medical School, Boston, Massachusetts, USA and Nicholas. 
J Horton, Smith College, Northampton, Massachusetts, USA 
  
Publication Date:  July 2009 
Number of Pages:  360

This book shows how equivalent statistical methods can be applied in either SAS 
or R, enabling users of each software to learn how to apply the methods in the 
other. It covers data management, simple statistical procedures, modeling and 
regression, and graphics. Each section begins with a brief introduction to the 
procedures and then presents the code for each software side-by-side. The book 
provides detailed worked examples together with output from the software to 
illustrate how the methods are applied in practice. It also includes an index 
for both SAS and R, which will be useful to a wide range of users. 

Discounted Price: $55.96 / £35.99

For more details and to order: 
http://www.crcpress.com/product/isbn/9781420070576

***

Introduction to Scientific Programming and Simulation Using R

Owen Jones, Robert Maillardet and Andrew Robinson, University of Melbourne, 
Parkville, Australia 

Publication Date: March 2009
Number of Pages: 472

This book teaches the skills needed to perform scientific programming while 
also introducing stochastic modelling. Stochastic modelling in particular, and 
mathematical modelling in general, are intimately linked to scientific 
programming because the numerical techniques of scientific programming enable 
the practical application of mathematical models to real-world problems. 
Assuming no prior knowledge of programming or probability, the book is 
organised into four main sections, covering Programming in R, A primer on 
numerical mathematics, A self-contained introduction to probability theory and 
Simulation. Unlike most guides to R, this volume is not about the application 
of statistical techniques, but rather shows how to turn algorithms into code. 
It is for those who want to make tools, not just use them. 

Discounted Price: $63.96 / £39.19
        
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***

An Introduction to Statistical Inference and its Applications with R

Michael W. Trosset, University of Indiana, Bloomington, IN, U.S.A. 
 
Publication Date: June 2009
Number of Pages: 504

With an emphasis on explaining how and why statistical methods are used to 
analyze data, this book introduces several important procedures: one and two 
sample location problems, one way analysis of variance, and simple linear 
regression. The book presents numerous applications and supporting datasets 
throughout along with historical background to illustrate the material. 
Offering a modern approach that focuses on the interpretation of data, it 
features an appendix that provides instruction on the use of R as well as 
datasets and simulation. In addition, R code is available for download on the 
web.

Discounted Price: $63.96 / £39.19

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http://www.crcpress.com/product/isbn/9781584889472

***

A Handbook of Statistical Analyses Using R, Second Edition

Brian S. Everitt, King's College, University of London, UK and Torsten Hothorn, 
Ludwig-Maximilians-Universität, München, Germany

Publication Date:  July 2009 
Number of Pages:  376 

Like its predecessor, this second edition provides a guide to data analysis 
using the R system for statistical computing. This edition contains new 
chapters on graphical displays, generalized additive models, and simultaneous 
inference as well as a new section on generalized linear mixed models that 
completes the discussion on the analysis of longitudinal data where the 
response variable does not have a normal distribution. The authors include new 
examples and more exercises in several chapters. They also offer a new version 
of the HSAUR package (HSAUR2), which is available from CRAN.

Discounted Price: $43.96 / £27.99

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http://www.crcpress.com/product/isbn/9781420079333

***

Computational Statistics: An Introduction to R

Günther Sawitzki, StatLab Heidelberg, Germany
 
Publication Date: January 2009
Number of Pages: 264

Suitable for a compact course or self-study, this book illustrates how to use 
the freely available R software package for data analysis, statistical 
programming, and graphics. Integrating R code and examples throughout, the text 
only requires basic knowledge of statistics and computing. It covers one-sample 
analysis and distribution diagnostics, regression, two-sample problems and 
comparison of distributions, and multivariate analysis. It uses a range of 
examples to demonstrate how R can be employed to tackle statistical problems. 
In addition, the handy appendix includes a collection of R language elements 
and functions, serving as a quick reference and starting point to access the 
rich information that comes bundled with R. 

Discounted Price: $63.96 / £39.19 

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***

Introduction to Data Technologies

Paul Murrell, The University of Auckland, New Zealand  

Publication Date: February 2009
Number of Pages: 418

Providing key information on how to work with research data, this book presents 
ideas and techniques for performing critical, behind-the-scenes tasks that take 
up so much time and effort yet typically receive little attention in formal 
education. With a focus on computational tools, the book shows readers how to 
improve their awareness of what tasks can be achieved and describes the correct 
approach to perform these tasks. The author first discusses how to write 
computer code using HTML as a concrete example. He then covers a variety of 
data storage topics, including different file formats, XML, and the structure 
and design issues of relational databases. After illustrating how to extract 
data from a relational database using SQL, the book presents tools and 
techniques for searching, sorting, tabulating, and manipulating data. It also 
introduces some very basic programming concepts as well as the R language for 
statistical computing. Each of these topics has supporting chapters that offer 
reference material on HTML, CSS, XML, DTD, SQL, R, and regular expressions. 

Discounted Price: $55.96 / £34.39

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http://www.crcpress.com/product/isbn/9781420065176

***

Hidden Markov Models for Time Series: An Introduction Using R

Walter Zucchini,  University of Gottingen, Germany and Iain L. MacDonald,  
University of Cape Town, South Africa 

Publication Date:  April 2009 
Number of Pages:  288 

This book applies hidden Markov models (HMMs) to a wide range of time series 
types, from continuous-valued, circular, and multivariate series to binary 
data, bounded and unbounded counts, and categorical observations. It also 
discusses how to employ the freely available computing environment R to carry 
out computations for parameter estimation, model selection and checking, 
decoding, and forecasting. After presenting the simple Poisson HMM, the book 
covers estimation, forecasting, decoding, prediction, model selection, and 
Bayesian inference. Through examples and applications, the authors describe how 
to extend and generalize the basic model so it can be applied in a rich variety 
of situations. They also provide R code for some of the examples, enabling the 
use of the codes in similar applications.

Discounted Price: $63.96 / £39.19

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***

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl 
and R

Gabriel Valiente, Technical University of Catalonia, Barcelona, Spain 

Publication Date:  April 2009 
Number of Pages:  368 

Emphasizing the search for patterns within and between biological sequences, 
trees, and graphs, this book shows how combinatorial pattern matching 
algorithms can solve computational biology problems that arise in the analysis 
of genomic, transcriptomic, proteomic, metabolomic, and interactomic data. It 
implements the algorithms in Perl and R, two widely used scripting languages in 
computational biology. The book supplies a comprehensive view of the whole 
field of combinatorial pattern matching from a computational biology 
perspective. Along with thorough discussions of each biological problem, it 
includes detailed algorithmic solutions in pseudo-code, full Perl and R 
implementation, and pointers to other software, such as those on CPAN and CRAN.

Discounted Price: $71.96 / £43.99

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http://www.crcpress.com/product/isbn/9781420069730

*** OTHER TITLES ***

R Programming for Bioinformatics

Robert Gentleman, Fred Hutchinson Cancer Research Center, Seattle, WA, U.S.A. 

Publication Date: January 2009
Number of Pages: 328

Discounted Price: $55.96 / £35.99

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http://www.crcpress.com/product/isbn/9781420063677

***

Statistical Computing with R

Maria L. Rizzo, Bowling Green State Univ., Ohio, U.S.A. 

Publication Date: 2008
Number of Pages: 416

Discounted Price: $67.16 / £31.99

For more details and to order: 
http://www.crcpress.com/product/isbn/9781584885450

***

Probability and Statistics with R

Maria Dolores Ugarte and Ana F. Militino, both of Public University of Navarre, 
Pamplona, Spain, and Alan Arnholt, Appalachian State University, Boone, NC, 
U.S.A. 
 
Publication Date: 2008
Number of Pages: 728
        
Discounted Price: $71.96 / £39.99

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http://www.crcpress.com/product/isbn/9781584888918

***

Introduction to Probability with R

Kenneth P. Baclawski, Northeastern University, Boston, MA  U.S.A. 

Publication Date: 2008
Number of Pages: 384

Discounted Price: $71.96 / £31.99

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http://www.crcpress.com/product/isbn/9781420065213

***

Interactive Graphics for Data Analysis: Principles and Examples

Martin Theus, Munich, Germany and Simon Urbanek, Madison, NJ, U.S.A. 

Publication Date: January 2009
Number of Pages: 290

Discounted Price: $63.96 / £31.99

For more details and to order: 
http://www.crcpress.com/product/isbn/9781584885948

*** CALL FOR AUTHORS ***

Chapman & Hall/CRC Press is actively seeking quality manuscripts to publish, 
particularly advanced textbooks, professional references, and handbooks that 
incorporate real-life examples, applications, and specific software 
implementations. If you have an idea for a book or have a manuscript already in 
progress, we want to hear about it. For proposal and manuscript submission 
guidelines, please contact:

Sunil Nair
Publisher, Mathematics, Statistics, Computer Science & Physics
Chapman & Hall/CRC Press
4th Floor, Albert House
1-4 Singer St, London EC2A 4BQ, U.K.
Email: sunil.n...@informa.com

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