[R] The R Series from Chapman & Hall/CRC
Rob.Calver at tandf.co.uk
Tue Jan 28 15:07:37 CET 2014
Chapman & Hall/CRC: The R Series
The R Series from Chapman & Hall/CRC has now been up and running for almost three years and is growing from strength to strength. We now have eight books published in the series, and more than twenty in development. This year looks set to be a big year for the series, with as many as seven books due to publish in the first half of 2014 alone.
We are always on the lookout for new projects for the series, and encourage you to contact us with your ideas and proposals. See below for details of the aims and scope of the series, series editors and how to contact us. You can find out more details about the series and all the published and forthcoming titles at http://statistics.crcpress.com/new-notable/the-r-series/.
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 4,000 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.
* John M. Chambers (Department of Statistics, Stanford University, USA)
* Torsten Hothorn (Department of Biostatistics, University of Zurich, Switzerland)
* Duncan Temple Lang (Department of Statistics, University of California, Davis, USA)
* Hadley Wickham (RStudio, Boston, Massachusetts, USA)
Call for Proposals
We are interested in 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 above 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.
We look forward to hearing from you.
Rob Calver (rob.calver at tandf.co.uk)
David Grubbs (david.grubbs at taylorandfrancis.com)
John Kimmel (john.kimmel at taylorandfrancis.com)
More information about the R-help