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Chapman & Hall/CRC The R Series


About the Series

This book series reflects 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 12,000 packages available. It is difficult 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 specific disciplines such as biology, epidemiology, genetics, engineering, finance, 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 fields. The books will feature detailed worked examples and R code fully integrated into the text, ensuring their usefulness to researchers, practitioners and students.

Please contact us if you have an idea for a book for the series.

53 Series Titles

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Multiple Factor Analysis by Example Using R

Multiple Factor Analysis by Example Using R

1st Edition

Jérôme Pagès
November 20, 2014

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the ...

Stated Preference Methods Using R

Stated Preference Methods Using R

1st Edition

Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato
August 15, 2014

Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates ...

Introduction to Scientific Programming and Simulation Using R

Introduction to Scientific Programming and Simulation Using R

2nd Edition

Owen Jones, Robert Maillardet, Andrew Robinson
June 12, 2014

Learn How to Program Stochastic Models Highly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce ...

Customer and Business Analytics Applied Data Mining for Business Decision Making Using R

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R

1st Edition

Daniel S. Putler, Robert E. Krider
May 07, 2012

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying...

Statistical Computing in C++ and R

Statistical Computing in C++ and R

1st Edition

Randall L. Eubank, Ana Kupresanin
December 01, 2011

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 ...

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