## Best R Programming Books

R is a programming language specially designed for statistical data analysis and graphical representation. Ross Ihaka, Robert Gentleman, and their team developed R at AT&T Bell Laboratories. It derives its name from the fact that R software is used to implement the R programming language. It is an extremely flexible and customisable language.

These books are designed for those who aspire to become a R Programming Developer. Here you will find 10 best R Programming books to learn R Programming from beginner level to advance level.

**Top 10 R Programming Books**

#### 1. The Art of R Programming: A Tour of Statistical Software Design

**Author **:- Norman Matloff

**Edition **:- 2011 Edition

**Published by **:- No Starch Press

This book is for those who wish to develop software in R. The programming skills of our intended readers may range anywhere from those of a professional software developer to "I took a programming course in college," but their key goal is to write R code for specific purposes. (Statistical knowledge will generally not be needed.)

Here are some examples of people who may benefit from this book:

• Professional programmers with experience in software development who have been assigned by their employers to projects involving statistical analysis.

• Specialists in marketing, litigation support, journalism, publishing, and so on who need to develop code to produce sophisticated graphical presentations of data.

• student in statistical computing courses.

#### 2. Hands on Programming With R: Write Your Own Functions and Simulations

**Author **:- Garrett Grolemund

**Edition **:- 2014 Edition

**Published by **:- Shroff/O'Reilly

This book will teach you how to program in R and You'll go from loading data to writing your own functions (which will outperform the functions of other R users). The chapters in the book are arranged according to three practical projects — given that they're fairly substantial projects, they span multiple chapters.

You will learn how to load data, assemble and disassemble data objects, navigate R's environment system, write your own functions, and use all of R's programming tools, such as if else statements, for loops, S3 classes, R's package system, and R's debugging tools.

#### 3. R Programming for Beginners

**Author **:- Sandip Rakshit

**Edition **:- 2017 Edition

**Published by **:- McGraw Hill Education

This book is on programming language called R. R is rapidly becoming the de-facto standard amongst professionals and is used in every conceivable discipline from science and medicine to business and engineering. Starting from variables and basic operations, one will eventually learn how to handle data structures such as vectors, matrices, data frames and lists.

In the final section, one will dive deeper into the graphical capabilities of R and create stunning data visualizations. No prior knowledge in programming or data science is required.

#### 4. Statistics with R Programming

**Author **:- Sandip Rakshit

**Edition **:- 2018 Edition

**Published by **:- McGraw Hill Education

The main objectives of this book are to educate the users about R programming fundamentals as well as strengthen their basic knowledge of statistics and analytical skills to enable the predict the future. Without the basic knowledge of statistics, analysis of data is meaningless.

The book contains ample examples to make the readers clearly understand the basic concepts. The book distinguishes itself from others through the case studies which will enable readers to use the techniques learnt in the real environment and apply those for their research. Most books on
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#### 5. R Packages

**Author **:- Hadley Wickham

**Edition **:- 2015 Edition

**Published by **:- O′Reilly

This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks.

This book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure.

#### 6. R in Action

**Author **:- Robert L. Kabacoff

**Edition **:- 2nd Edition

**Published by **:- Dreamtech Press

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data.

You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining and dynamic report writing.

#### 7. R for Everyone: Advanced Analytics and Graphics

**Author **:- Lander

**Edition **:- 2014 Edition

**Published by **:-Pearson Education India

R for Everyone is the solution. Drawing on his extensive experience teaching new users through the New York City R User Group, professional statistician Jared Lander has written the perfect R tutorial for everyone who's new to statistical programming and modeling.

#### 8. R Graphics Cookbook: Practical Recipes for Visualizing Data

**Author **:- Winston Chang

**Edition **:- 2nd Edition

**Published by **:- Shroff/O'Reilly

The goal of this book is to help you understand your data by visualizing it, and to help you convey that understanding to others. You can think of data analysis as the process of transforming raw data into ideas in somebody's mind.

Each recipe in this book lists a problem and a solution. In most cases, the solutions I offer aren't the only way to do things in R, but they are, in my opinion, the best way.

This book isn't meant to be a comprehensive manual of all the different ways of creating data visualizations in R, but hopefully it will help you figure out how to make the graphics you have in mind. Or, if you're not.

#### 9. Advanced R

**Author **:- Hadley Wickham

**Edition **:- 2014 Edition

**Published by **:- Chapman and Hall/CRC

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.

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.

#### 10. Learning R: A Step-by-Step Function Guide to Data Analysis

**Author **:- Richard Cotton

**Edition **:- 2013 Edition

**Published by **:- O'Reilly Media

This is a book of two halves. The first half is designed to provide you with the technical skills you need to use R; each chapter is a short introduction.

The second half of the book ramps up the fun: you get to see real data analysis in action. Each chapter covers a section of the standard data analysis workflow, from importing data to publishing your results.

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