Chapman & Hall/CRC The R Series
John M. Chambers
Department of Statistics
Stanford University
Stanford, California, USA
Duncan Temple Lang
Department of Statistics
University of California, Davis
Davis, California, USA
Torsten Hothorn
Institut für Statistik
Ludwig-Maximilians-Universität
München, Germany
Hadley Wickham
Department of Statistics
Rice University
Houston, Texas, USA
Aims and Scope
This book series refects 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 2,600 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:
The books will appeal to programmers and developers of R software, as well as applied statisticians and data analysts in many felds. 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
Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R, Robert E. Krider and Daniel S. Putler
Event History Analysis with R, Göran Broström
Programming Graphical User Interfaces with R, John Verzani and Michael Lawrence
R Graphics, Second Edition, Paul Murrell
Statistical Computing in C++ and R, Randall L. Eubank and Ana Kupresanin