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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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Spatial Microsimulation with R

Spatial Microsimulation with R

1st Edition

Robin Lovelace, Morgane Dumont
March 21, 2016

Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language...

R Primer

R Primer

2nd Edition

Claus Thorn Ekstrom
March 01, 2017

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 performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered ...

The Essentials of Data Science: Knowledge Discovery Using R

The Essentials of Data Science: Knowledge Discovery Using R

1st Edition

Graham J. Williams
July 13, 2017

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from ...

Dynamic Documents with R and knitr

Dynamic Documents with R and knitr

2nd Edition

Yihui Xie
June 22, 2015

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and ...

Flexible Regression and Smoothing Using GAMLSS in R

Flexible Regression and Smoothing: Using GAMLSS in R

1st Edition

Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani
May 02, 2017

This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. In particular, the ...

Testing R Code

Testing R Code

1st Edition

Richard Cotton
January 19, 2017

Learn how to write R code with fewer bugs. The problem with programming is that you are always one typo away from writing something silly. Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results. Combining the two disciplines means that it is all too ...

bookdown Authoring Books and Technical Documents with R Markdown

bookdown: Authoring Books and Technical Documents with R Markdown

1st Edition

Yihui Xie
December 19, 2016

bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends...

Computational Actuarial Science with R

Computational Actuarial Science with R

1st Edition

Arthur Charpentier
October 27, 2016

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers ...

Using the R Commander A Point-and-Click Interface for R

Using the R Commander: A Point-and-Click Interface for R

1st Edition

John Fox
August 05, 2016

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text ...

Statistics in Toxicology Using R

Statistics in Toxicology Using R

1st Edition

Ludwig A. Hothorn
December 21, 2015

The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in ...

Parallel Computing for Data Science With Examples in R, C++ and CUDA

Parallel Computing for Data Science: With Examples in R, C++ and CUDA

1st Edition

Norman Matloff
June 04, 2015

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p ...

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 ...

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