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R Graphics, Second Edition 

Paul Murrell, The University of Auckland, New Zealand

 

ISBN:  9781439831762

Publication Date:  June 2011 

Number of Pages:  546

Extensively updated to reflect the evolution of statistics and computing, the 
second edition of the bestselling R Graphics comes complete with new packages 
and new examples. Paul Murrell, widely known as the leading expert on R 
graphics, has developed an in-depth resource that helps both neophyte and 
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Statistical Computing in C++ and R 

Randall L. Eubank, Arizona State University, Tempe, USA; Ana Kupresanin, 
Lawrence Livermore National Laboratory, California, USA

ISBN:  9781420066500 

Publication Date:  December 2011 

Number of Pages:  556

Parallel processing can be ideally suited for the solving of more complex 
problems in statistical computing. This book discusses code development in C++ 
and R, before going beyond to look at the valuable use of these two languages 
in unison. It covers linear equation solution with regression and linear models 
motivation, optimization with maximum likelihood and nonlinear least squares 
motivation, and random number generation.

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The R Primer 

Claus Thorn Ekstrom, University of Copenhagen, Frederiksberg, Denmark

 

ISBN:  9781439862063 

Publication Date:  August 2011 

Number of Pages:  299

Newcomers to R are often intimidated by the command-line interface, the vast 
number of functions and packages, or the processes of importing data and 
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concise examples and solutions to R problems frequently encountered by new 
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Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second 
Edition 

Sorin Draghici, Wayne State University, Detroit, Michigan, USA

 

ISBN:  9781439809754 

Publication Date:  November 2011 

Number of Pages:  1,036

 

Richly illustrated in color, Statistics and Data Analysis for Microarrays Using 
R and Bioconductor, Second Edition provides a clear and rigorous description of 
powerful analysis techniques and algorithms for mining and interpreting 
biological information.

 

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An R Companion to Linear Statistical Models 

Christopher Hay-Jahans

 

ISBN:  9781439873656  

Publication Date:  October 2011 

Number of Pages:  372

Focusing on user-developed programming, An R Companion to Linear Statistical 
Models serves two audiences: Those who are familiar with the theory and 
applications of linear statistical models and wish to learn or enhance their 
skills in R; and those who are enrolled in an R-based course on regression and 
analysis of variance. For those who have never used R, the book begins with a 
self-contained introduction to R that lays the foundation for later chapters.

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Analysis of Questionnaire Data with R 

Bruno Falissard, INSERM U669, Paris, France

 

ISBN:  9781439817667

Publication Date:  September 2011 

Number of Pages:  280

 

Analysis of Questionnaire Data with R translates certain classic research 
questions into statistical formulations. As indicated in the title, the syntax 
of these statistical formulations is based on the well-known R language, chosen 
for its popularity, simplicity, and power of its structure.

 

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