Chapman & Hall/CRC The R Series
About the Book 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.
A Criminologist's Guide to R: Crime by the Numbers
1st Edition
By Jacob Kaplan
December 15, 2022
A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book, a person without any prior programming experience can take raw crime data, be able to clean it, ...
ANOVA and Mixed Models: A Short Introduction Using R
1st Edition
By Lukas Meier
November 04, 2022
ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of ...
Spatial Sampling with R
1st Edition
By Dick J. Brus
September 26, 2022
Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in ...
Outstanding User Interfaces with Shiny
1st Edition
By David Granjon
August 31, 2022
Outstanding User Interfaces with Shiny provides the reader with necessary knowledge to develop beautiful and highly interactive user interfaces. It gives the minimum requirements in HTML/JavaScript and CSS to be able to extend already existing Shiny layouts or develop new templates from scratch. ...
Rasch Measurement Theory Analysis in R
1st Edition
By Stefanie Wind, Cheng Hua
June 03, 2022
Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-by-step guide for conducting Rasch measurement theory analyses using R. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R ...
R for Political Data Science: A Practical Guide
1st Edition
By Francisco Urdinez, Andres Cruz
May 30, 2022
R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The ...
Engineering Production-Grade Shiny Apps
1st Edition
By Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard
September 29, 2021
From the Reviews "[This book] contains an excellent blend of both Shiny-specific topics … and practical advice from software development that fits in nicely with Shiny apps. You will find many nuggets of wisdom sprinkled throughout these chapters…." Eric Nantz, Host of the R-Podcast and the Shiny ...
Advanced R Solutions
1st Edition
By Malte Grosser, Henning Bumann, Hadley Wickham
August 24, 2021
This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming ...
Javascript for R
1st Edition
By John Coene
July 16, 2021
Little known to many, R works just as well with JavaScript—this book delves into the various ways both languages can work together. The ultimate aim of this work is to put the reader at ease with inviting JavaScript in their data science workflow. In that respect the book is not teaching one ...
Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R
1st Edition
By Robert A. Rigby, Mikis D. Stasinopoulos, Gillian Z. Heller, Fernanda De Bastiani
June 30, 2021
This is a book about statistical distributions, their properties, and their application to modelling the dependence of the location, scale, and shape of the distribution of a response variable on explanatory variables. It will be especially useful to applied statisticians and data scientists in a ...
Dose-Response Analysis Using R
1st Edition
By Christian Ritz, Signe Marie Jensen, Daniel Gerhard, Jens Carl Streibig
June 30, 2021
Nowadays the term dose-response is used in many different contexts and many different scientific disciplines including agriculture, biochemistry, chemistry, environmental sciences, genetics, pharmacology, plant sciences, toxicology, and zoology.In the 1940 and 1950s, dose-response analysis was ...
Statistics in Toxicology Using R
1st Edition
By Ludwig A. Hothorn
June 30, 2021
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 ...