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Chapman & Hall/CRC The R Series


About the 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.

55 Series Titles

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Engineering Production-Grade Shiny Apps

Engineering Production-Grade Shiny Apps

1st Edition

Forthcoming

By Colin Fay, Vincent Guyader, Sebastien Rochette, Girard Cervan
May 01, 2021

Presented in full color, Engineering Production-Grade Shiny Apps helps people build production-grade shiny applications, by providing advice, tools, and a methodology to work on web applications with R. This book starts with an overview of the challenges which arise from any big web application ...

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

1st Edition

Forthcoming

By Andrew B. Lawson
April 29, 2021

Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such ...

R for Conservation and Development Projects A Primer for Practitioners

R for Conservation and Development Projects: A Primer for Practitioners

1st Edition

Forthcoming

By Nathan Whitmore
December 21, 2020

This book is aimed at conservation and development practitioners and who need to learn and use R in a part-time professional context. It gives people with a non-technical background a set of skills to graph, map, and model in R. It also provides background on data integration in project management ...

Learning Microeconometrics with R

Learning Microeconometrics with R

1st Edition

By Christopher P. Adams
December 03, 2020

This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It is aimed at the ...

R for Political Data Science A Practical Guide

R for Political Data Science: A Practical Guide

1st Edition

By Francisco Urdinez, Andres Cruz
November 18, 2020

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 ...

R Markdown Cookbook

R Markdown Cookbook

1st Edition

By Yihui Xie, Christophe Dervieux, Emily Riederer
October 20, 2020

This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit ...

Using R for Modelling and Quantitative Methods in Fisheries

Using R for Modelling and Quantitative Methods in Fisheries

1st Edition

By Malcolm Haddon
September 25, 2020

Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a ...

Learn R As a Language

Learn R: As a Language

1st Edition

By Pedro J. Aphalo
July 29, 2020

Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call ...

Reproducible Research with R and RStudio

Reproducible Research with R and RStudio

3rd Edition

By Christopher Gandrud
February 13, 2020

Praise for previous editions:"Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way… Advanced undergraduate students in mathematics, statistics, and similar fields as well as...

Interactive Web-Based Data Visualization with R, plotly, and shiny

Interactive Web-Based Data Visualization with R, plotly, and shiny

1st Edition

By Carson Sievert
January 21, 2020

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without ...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

1st Edition

By Chester Ismay, Albert Y. Kim
December 13, 2019

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for ...

Hands-On Machine Learning with R

Hands-On Machine Learning with R

1st Edition

By Brad Boehmke, Brandon M. Greenwell
November 11, 2019

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply ...

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