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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.

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Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving

1st Edition

Deborah Nolan, Duncan Temple Lang
April 21, 2015

Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the...

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...

Analyzing Sensory Data with R

Analyzing Sensory Data with R

1st Edition

Sebastien Le, Thierry Worch
October 09, 2014

Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative,...

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...

Using R for Introductory Statistics

Using R for Introductory Statistics

2nd Edition

John Verzani
June 26, 2014

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the...

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...

Using R for Numerical Analysis in Science and Engineering

Using R for Numerical Analysis in Science and Engineering

1st Edition

Victor A. Bloomfield
April 24, 2014

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical...

Implementing Reproducible Research

Implementing Reproducible Research

1st Edition

Victoria Stodden, Friedrich Leisch, Roger D. Peng
April 14, 2014

In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must...

Growth Curve Analysis and Visualization Using R

Growth Curve Analysis and Visualization Using R

1st Edition

Daniel Mirman
February 24, 2014

Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual...

Programming Graphical User Interfaces in R

Programming Graphical User Interfaces in R

1st Edition

Michael Lawrence, John Verzani
June 08, 2012

Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics...

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...

Event History Analysis with R

Event History Analysis with R

1st Edition

Göran Broström
April 03, 2012

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data,...

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