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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.

53 Series Titles

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Advanced R, Second Edition

Advanced R, Second Edition

2nd Edition

Hadley Wickham
May 30, 2019

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the ...

Geocomputation with R

Geocomputation with R

1st Edition

Robin Lovelace, Jakub Nowosad, Jannes Muenchow
March 25, 2019

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and ...

Statistical Computing with R, Second Edition

Statistical Computing with R, Second Edition

2nd Edition

Maria L. Rizzo
March 06, 2019

Praise for the First Edition: ". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and...

Spatio-Temporal Statistics with R

Spatio-Temporal Statistics with R

1st Edition

Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie
February 18, 2019

The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics ...

Practical R for Mass Communication and Journalism

Practical R for Mass Communication and Journalism

1st Edition

Sharon Machlis
December 26, 2018

Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you ideas, tools, and techniques for incorporating ...

Analyzing Sensory Data with R

Analyzing Sensory Data with R

1st Edition

Sebastien Le, Thierry Worch
October 09, 2014

Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative, ...

Implementing Reproducible Research

Implementing Reproducible Research

1st Edition

Victoria Stodden, Friedrich Leisch, Roger D. Peng
April 14, 2014

In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must...

Programming Graphical User Interfaces in R

Programming Graphical User Interfaces in R

1st Edition

Michael Lawrence, John Verzani
June 08, 2012

Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics ...

Analyzing Baseball Data with R, Second Edition

Analyzing Baseball Data with R, Second Edition

2nd Edition

Max Marchi, Jim Albert, Max Marchi, Jim Albert, Benjamin S. Baumer
December 03, 2018

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to ...

R Graphics, Third Edition

R Graphics, Third Edition

3rd Edition

Paul Murrell
November 29, 2018

This third edition of Paul Murrell’s classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes ...

Reproducible Finance with R Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

1st Edition

Jonathan K. Regenstein, Jr.
October 08, 2018

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny ...

Using R for Introductory Statistics

Using R for Introductory Statistics

2nd Edition

John Verzani
June 26, 2014

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the ...

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