(This is a guest post based on Calver, Rob e-mail to the R-help mailing list)
We are delighted to announce that our new series of books on R is up and running, with two books already published and another nine forthcoming (including three set to publish in 2012). We are keen to receive proposals for books covering all aspects of the development and application of R software. If you have an idea for a book, please contact one of the series editors or one of the Chapman & Hall/CRC statistics acquisitions editors below. Please provide brief details of topic, audience, aims and scope, and include an outline if possible.
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 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:
- 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.
John M. Chambers (Department of Statistics, Stanford University, USA; [email protected])
Torsten Hothorn (Institut für Statistik, Ludwig-Maximilians-Universität, München, Germany;[email protected])
Duncan Temple Lang (Department of Statistics, University of California, Davis, USA;[email protected])
Hadley Wickham (Department of Statistics, Rice University, Houston, Texas, USA; [email protected])
- R Graphics, Second Edition – Murrell
- Statistical Computing in C++ and R – Eubank & Kupresanin
- Event History Analysis with R – Broström
- Programming Graphical User Interfaces in R – Verzani & Lawrence
- Customer & Business Analytics: Applied Data Mining for Business Decision Making Using R – Krider & Putler
- Measurement of Individual Stated Preferences Using R – Aizaki, Nakatani & Sato
- Starting Quantitative Analysis with R – Fruehwald
- Modeling of Longitudinal and Time-to-Event Data with Applications in R – Rizopoulos
- Nonparametric Statistical Methods Using R – Kloke & McKean
- Numerical Methods in Science and Engineering Using R – Bloomfield
- Extended Rasch Modeling in R: Theory and Practice – Maier, Mair & Hatzinger
We look forward to hearing from you.
Rob Calver ([email protected])
David Grubbs ([email protected])
John Kimmel ([email protected])