5 Books that will make you a Better R Developer

Learning how to code in R can be daunting. There are so many resources available and it’s tough to know where to start. If you’re feeling lost, don’t worry – we’ve got you covered. In this blog post, we’ll recommend five books that will make you a better R developer. Whether you’re a beginner or an experienced programmer, these books will teach you something new and help you take your skills to the next level. So without further ado, let’s get started!

1. The Art of R Programming by Norman Matloff

This book is great for those who are just starting to learn R programming.

It covers the basics of syntax and data structures and teaches you how to write efficient and readable code.

If you’re new to coding in R, this is the perfect place to start.

2. Advanced R by Hadley Wickham

This book is aimed at more experienced R programmers who want to take their skills to the next level.

It covers topics such as functional programming, object-oriented programming, and package development.

Even if you consider yourself an experienced R programmer, chances are you’ll still learn something new from this book.

3. R for Data Science by Garrett Grolemund and Hadley Wickham

This book introduces you to the basics of data wrangling, visualization, and modeling with R.

It’s perfect for those who want to learn how to use R for data science applications.

Even if you’re already familiar with other statistical software packages such as SAS or SPSS, this book will teach you how to approach data analysis in a new way using R.

4. Discovering Statistics Using R 1st Edition

The R version of Andy Field′s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R.

Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same groundbreaking structure and pedagogical approach.

The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

5. The Book of R: A First Course in Programming and Statistics 1st Edition

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis.

Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.

You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling.

You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.

6. Hands-On Programming with R: Write Your Own Functions and Simulations

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems.

With this book, you’ll 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.

RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.

7. R For Dummies 2nd Edition

Mastering R has never been easier

Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you’ll ever need.

Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel.

You’ll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more.

If you’re looking to improve your skills as an R programmer, these five books are essential reading. They cover everything from the basics of syntax and data structures all the way up to advanced topics like package development and web application development with Shiny. Whether you’re just getting started with R or you’ve been coding in it for years, these books will help take your skills to the next level.