Chapman & Hall/CRC
The R Series

Series Editors

John M. Chambers
Department of Statistics
Stanford University
Stanford, California, USA

Torsten Hothorn
Division of Biostatistics
University of Zurich
Switzerland

Duncan Temple Lang
Department of Statistics
University of California, Davis
Davis, California, USA

Hadley Wickham
Department of Statistics
Rice University
Houston, Texas, USA

Aims and Scope

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 5,000 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.

Published Titles

Event History Analysis with R, GÖran BrostrÖm

Computational Actuarial Science with R, Arthur Charpentier

Statistical Computing in C++ and R, Randall L. Eubank and Ana Kupresanin

Reproducible Research with R and RStudio, Christopher Gandrud

Displaying Time Series, Spatial, and Space-Time Data with R,Oscar Perpiñán Lamigueiro

Programming Graphical User Interfaces with R, Michael F. Lawrence and John Verzani

Analyzing Baseball Data with R, Max Marchi and Jim Albert

Growth Curve Analysis and Visualization Using R, Daniel Mirman

R Graphics, Second Edition, Paul Murrell

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R,Daniel S. Putler and Robert E. Krider

Implementing Reproducible Research, Victoria Stodden, Friedrich Leisch, and Roger D. Peng

Dynamic Documents with R and knitr, Yihui Xie