R Programming Books

R programming is a free and open-source language designed by Robert Gentleman and Ross Ihaka. It first appeared in 1993, twenty-nine years ago. It is optimized for vector operations. R is the data science language used for data analysis and statistics, data visualization, and data mining.

With more and more companies focusing on generating insights from raw data, the past few years have seen significant growth in R programming. Some of the companies using R programming include Amazon, Google, Twitter, Oracle, IBM, etc.

If you dream of becoming a Data Analyst, Statistician, R Programmer, Data Scientist, or Business Analyst, you must learn R programming and start your career.

In this article, we will discuss some books on R programming, which are as follows:

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

The book "The Art of R Programming" is inscribed by Norman Matloff. This book is a good choice if you want to learn statistical software design.

In this book, you will comprehend the basics of R programming, data frames, applying functions to data frames, merging data frames, vectors, scalars, arrays, vectorized operations, filtering, matrices, general matrix operations, applying functions to matrix rows & columns, factors, tables, lists, general list operations, applying functions to lists, object-oriented programming, string manipulation, input/output, R programming structures, functions, replacement functions, anonymous functions, debugging, graphics, doing math & simulations in R, parallel R, debugging R code, interfacing R to other languages, and more.

Key points of this book:

Norman Matloff is the author of the book.
Learn the art of R programming.
The book is available on Flipkart and Amazon.

2. R For Dummies

The book "R for Dummies" is inscribed by Joris Meys and Andrie de Vries. This book is the 2^nd edition. If you are a beginner and want to study R programming, then this book has six parts that teach all the concepts to become proficient in R programming.

You will study the introduction of R programming language, the benefits of R, the features of R, the fundamentals of R, working with numbers, missing values, & infinity, organizing data in vectors, working with logical vectors, manipulating text, factoring in factors, working with dates, working in more dimensions, controlling the logical flow, debugging the code, manipulating & processing data, summarizing data, testing differences & relations, working with graphics, and more.

Key points of this book:

Joris Meys and Andrie de Vries are the authors of the book.
2^nd edition.
This book is divided into six parts, from which you will learn all the important topics of R programming.
Learn R programming from scratch.
The book is available on Flipkart and Amazon.

3. The Book of R: A First Course in Programming and Statistics

The book "The Book of R" is inscribed by Tilman M. Davies. The goal of the book is to provide knowledge of R programming and statistical methods. You can learn R programming from this book and become proficient in the R language.

In this book, you will understand the R language, arithmetic, vectors, assignment, numerics, arrays, matrices, non-numeric values, data frames, lists, calling functions, probability, conditions & loops, elementary statistics, basic data visualization, hypothesis testing, statistical testing & modeling, advanced graphics, analysis of variance, multiple linear regression, interactive 3D plots, and more.

Key points of this book:

The writer of this book is Tilman M. Davies.
Learn the fundamentals of R programming.
It is an introductory statistical methods book.
The book is easily available on Flipkart and Amazon.

4. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

The book "R Cookbook" is inscribed by Paul Teetor and J.D. Long. This book is the 2^nd edition. It is a recipe book for graphics, statistics, and data analysis. If you wish to understand R programming, you can pick up this book and learn from it.

In this book, you will study how to download & install R, set variables, delete variables, create a vector, create sequences, define a function, compare vectors, input & output, list files, data structures, data transformations, strings & dates, general statistics, probability, graphics, creating a bar chart, graphing a function, linear regression, useful tricks, time series analysis, and more.

Key points of this book:

The authors of this book are Paul Teetor and J.D. Long.
2^nd edition.
Learn the basics of R programming.
Learn about statistics, data analysis, & graphics.
The book is available on Flipkart and Amazon.

5. R for Everyone: Advanced Analytics and Graphics

The book "R for Everyone" is inscribed by Jared P. Lander. This book is the 2^nd edition. It is an introduction to R programming and several statistical methods that an R programmer should know. If you are curious about studying the R language, you can choose this book and start learning.

In this book, you will learn the basics of R, data types, basic math, vectors, variables, pipes, calling functions, missing data, lists, arrays, data frames, matrices, reading data into R, statistical graphics, writing R functions, control statements, loops, group manipulation, data reshaping, manipulating strings, probability distributions, linear models, regularization & shrinkage, nonlinear models, clustering, building R packages, and more.

Key points of this book:

The writer of this book is Jared P. Lander.
2^nd edition.
Learn advanced analytics & graphics of R programming.
The book is easily available on Flipkart and Amazon.

6. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

The book "R for Data Science" is inscribed by Garrett Grolemund and Hadley Wickham. This book is the 2^nd edition. The agenda of this book is to teach the essential tools in R. If you are looking for a book to learn R for data science, then you can read this book.

In this book, you will learn coding basics, calling functions, exploratory data analysis, creating Tibbles, string basics, creating factors, dates & times with lubricate, piping alternatives, functions, vector basics, loops, model basics, model building, R markdown basics, R markdown formats, and more.

Key points of this book:

The authors of this book are Garrett Grolemund and Hadley Wickham.
2^nd edition.
Provides exercise after each section.
Learn R for data science.
The book is easily available on Flipkart and Amazon.

7. Discovering Statistics Using R

The book "Discovering Statistics Using R" is inscribed by Jeremy Miles, Andy Field, and Zo� Field. This book is the 2^nd edition. If you want to learn statistics using R language, then you can learn it from this book.

In this book, you will learn how to build statistical models, create data frames, create variables, manipulate data, explore data with graphs, explore assumptions, correlation, data entry for correlation analysis, partial correlation, introduction to regression, basics of multiple regression, logistic regression, comparing two means, Analysis of covariance (ANCOVA), robust ANCOVA, factorial ANCOVA, introduction to repeated-measures designs, mixed designs, exploratory factor analysis, non-parametric tests, Multivariate analysis of variance (MANOVA), categorical data, multilevel linear models, and more.

Key points of this book:

The authors of this book are Jeremy Miles, Andy Field, and Zo� Field.
2^nd edition.
Learn advanced analytics & graphics of R programming.
The book is easily available on Flipkart and Amazon.

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

The book "Hands-On Programming with R" is inscribed by Garrett Grolemund. This book provides an understandable procedure for learning R. If you are willing to learn R programming, you can pick this book without much thought and start learning.

In this book, you will learn the basics of R, functions, objects, packages, atomic vectors, attributes, matrices, classes, arrays, R notation, modifying values, working with environments, programs, loops, vectorized code, and more.

Key points of this book:

The author of this book is Garrett Grolemund.
Learn to program with R.
Provides three practical projects.
The book is easily available on Flipkart and Amazon.

9. R in Action: Data Analysis and Graphics with R

The book "R in Action" is inscribed by Robert I. Kabacoff. This book is the 3^rd edition. If you want to study data analysis & graphics using R, then you can grab this book and start learning.

In this book, you will learn introduction to R, basic statistics, basic graphs, analysis of variance, data structures, regression, resampling statistic & bootstrapping, power analysis, generalized linear models, creating dynamic reports, advanced programming, creating new variables, type conversions, advanced data management, basic graphs, basic statistics, intermediate graphs, principal components & factor analysis, clustering analysis, and more.

Key points of this book:

Robert I. Kabacoff is the author of the book.
3^rd edition.
Learn data analysis & graphics with R.
The book is easily available on Flipkart and Amazon.

10. Advanced R

The book "Advanced R" is inscribed by Hadley Wickham. This book is the 2^nd edition. This book covers every important concept of R and is easy to understand. If you want to study advanced topics of R programming, you can pick this book.

In this book, you will learn the foundations of R, such as names, values, vectors, control flow, subsetting, functions, conditions, & environments. You will study functional programming, object-oriented programming, metaprogramming, debugging techniques, translating R code, expressions, evaluation basics, and more.

Key points of this book:

The author of this book is Hadley Wickham.
2^nd edition.
Learn advanced R programming.
The book is easily available online on Amazon and Flipkart.

11. R: Easy R Programming for Beginners

The book "R: Easy R Programming for Beginners" is inscribed by Felix Alvaro. This book is designed to teach R programming to beginners step-by-step. If you want to understand the basics of the open-source R programming language, you can pick up this book to learn and excel in R programming.

In this book, you will study the fundamentals of R programming, graphic systems & plotting, basic data wrangling in R, spatial data sets in R, statistics, and more.

Key points of this book:

The author of this book is Felix Alvaro.
Learn R programming from the beginning in an easy manner.
The book is easily available on Amazon.

12. Text Mining with R: A Tidy Approach

The book "Text Mining with R: A Tidy Approach" is inscribed by David Robinson and Julia Silge. This book explains the concepts using practical software examples. You can learn from this book if you want to study text mining using R programming.

In this book, you will study tidy text format, topic modeling, converting to & from Nontidy formats, mining NASA metadata, comparing Twitter archives, analyzing Usenet text, sentiment analysis with Tidy data, and more.

Key points of this book:

The authors of this book are David Robinson and Julia Silge.
Learn text mining using R programming.
The book is easily available on Flipkart and Amazon.

13. R in a Nutshell: A Desktop Quick Reference

The book "R in a Nutshell" is inscribed by Joseph Adle. This book is the 2^nd edition. This book provides a quick way to learn the famous R programming language. After studying this book, you will be able to solve data analysis problems. If you want to study R programming, this book is good to learn.

In this book, you will study R versions, the R graphical user interface, basic operation in R, variables, functions, data structures, classes, objects, graphics, models, R packages, expressions, R syntax, symbols & environment, high-performance R, object-oriented programming, working with data, preparing data, lattice graphs, analyzing data, probability distributions, power tests, statistical tests, regression models, machine learning, classification methods, time series analysis, Bioconductor, and more.

Key points of this book:

The author of this book is Joseph Adle.
2^nd edition.
Learn R programming. In a quick manner.
The book is easily available on Flipkart and Amazon.

14. R Programming for Beginners: Learn the R Programming Language Fast

The book "R Programming for Beginners" is inscribed by Lianne Bechtol. This book explains R programming in an easy-to-understand way so that beginners can learn the R language quickly. If you are a beginner looking for a good book on R programming, then you must read this book.

In this book, you will study R programming, the evolution of R, the features of R, the syntax of R, data types of R, matrices, data frames, vectors list, arrays, variables, arithmetic operators,

Key points of this book:

The author of this book is Lianne Bechtol.
Learn R programming from scratch.
The book is easily available on Flipkart and Amazon.

15. Beginning R: The Statistical Programming Language

The book "Beginning R: The Statistical Programming Language" is inscribed by Mark Gardener. This book is wonderful for novices who are looking for a book to understand the statistical programming language, i.e., R. You can pick up this book and start learning the R programming language.

In this book, you will study introduction to R, command packages, simple math, reading & getting data into R, types of data items, viewing named objects, the structure of data items, manipulating objects, constructing data objects, descriptive statistics & tabulation, distribution of data, simple hypothesis testing, introduction to graphical analysis, formula notation & complex statistics, linear regression, multiple regression, curvilinear regression, and more.

Key points of this book:

The author of this book is Mark Gardener.
Learn a statistical programming language.
The book is easily available on Flipkart and Amazon.

16. Beginner's Guide for Data Analysis using R Programming

The book "Beginner's Guide for Data Analysis using R Programming" is inscribed by Jeeva Jose. This book is the revised edition. If you want to study data analysis using R programming, then you can begin learning it from this book.

In this book, you will study identifiers, variables, operators, strings, basic data types, numeric, modifying vectors, creating lists, creating matrices, creating arrays, creating factors, flow control, loops, functions, charts, graphs, histogram, connecting R to external interfaces, elementary statistics, tests of hypotheses, non-parametric test, analysis of variance, regression, forecasting, time series analysis, advanced multivariate analysis, advanced graphs, and more.

Key points of this book:

The author of this book is Jeeva Jose.
Revised edition.
Learn data analysis using R programming language.
The book is easily available on Flipkart and Amazon.

17. R Graphics Cookbook: Practical Recipes for Visualizing Data

The book "R Graphics Cookbook" is inscribed by Winston Chang. This book is the 2^nd edition. The objective of this book is to introduce you to how to visualize data. It has practical recipes that list a problem and a solution. Before reading this book, you should have basic knowledge of R programming.

In this book, you will study R basics, scatter plots, bar graphs, line graphs, annotations, summarized data distributions, how to control the overall appearance of graphs, creating a histogram, axes, facets, legends, miscellaneous graphs, and more.

Key points of this book:

The author of this book is Winston Chang.
2^nd edition.
Understand practical recipes for visualizing data using R programming language.
The book is easily available online on Amazon and Flipkart.

18. R Packages: Organize, Test, Document, and Share your Code

The book "R Packages" is inscribed by Hadley Wickham. This book is the 1^st edition. This book is the first edition. This book instructs you on how to create and manage packages. You can select this book if you are interested in learning about R packages.

In this book, you will study the introduction to R packages, R code, package structure, package metadata, object documentation, testing, namespace, external data, compiled code, installed files, Git & GitHub, automated checking, releasing a package, etc.

Key points of this book:

The author of this book is Hadley Wickham.
1^st edition.
Learn about R packages.
The book is easily available online on Amazon and Flipkart.

19. The R Book

The book "The R Book" is inscribed by Michael J. Crawley. This book is the 2^nd edition. The aim of this book is to provide beginner and intermediate-level knowledge of the R language. You can choose this book and start learning R programming from scratch.

In this book, you will study how to install and run R, packages in R, and the essentials of the R language, such as matrices, vectors, arrays, missing values, loops, lists, logical operations, writing R functions, etc. You will learn data input, graphics, data frames, tables, mathematical functions, probability functions, calculus, Bootstrap in hypothesis testing, statistical modelling, linear regression, polynomial regression, multiple regression, generalized linear models, generalized additive models, analysis of covariance, analysis of variance, binary response variables, count data in tables, non-linear regression, mixed-effect models, meta-analysis, proportion data, time series analysis, tree models, multivariate statistics, spatial statistics, survival analysis, simulation models, and more.

Key points of this book:

Michael J. Crawley is the author of this book.
2^nd edition.
Learn R programming language from the beginning.
The book is easily available online on Amazon and Flipkart.

20. R Programming: 3 books in 1: R Basics for Beginners + R Data Analysis and Statistics + R Data Visualization

The book "R Programming: 3 books in 1" is inscribed by Andy Vickler. This book is the 2^nd edition. It is a package of 3 books. The first book will teach the basics of R language for beginners, which means no prior knowledge is required to read this book; the second book teaches R data analysis and statistics, and the third book explains how to visualize data using R. If you want to master data analysis and data visualization using R, you must read this book.

In this book, you will study how to install R, navigate Rstudio, R syntax, types of data operators & their types, statistics in R, control structure, function, factors, strings, retrieving data from data frames, work with data, visualizing data, expressions, building an R package, testing, version control, basic plotting with ggplot2, external libraries, self-documenting code, and more.

Key points of this book:

The author of this book is Andy Vickler.
2^nd edition.
Provides three books in one.
Learn R basics, R data analysis & statistics, and R data visualization.
The book is easily available online on Amazon.

21. Practical Data Science with R

The book "Practical Data Science with R" is inscribed by John Mount, Jim Porzak, and Nina Zumel. This book is the 1^st edition. If you are a business professional and want to understand how to apply R programming language in business, then you must read this book.

In this book, you will study introduction to data science, working with data from files, exploring data, managing data, choosing & evaluating models, memorization methods, linear regression, logistic regression, unsupervised methods, exploring advanced methods, documentation, deployment, productive & effective presentations, and more.

Key points of this book:

The author of this book is Nina Zumel, Jim Porzak, and John Mount.
1st edition.
Learn practical data science using R programming language.
The book is easily available online on Amazon and Flipkart.

Conclusion:

You read about various books on R programming in this article. You can choose any book as per your requirement and start learning R programming language. After learning R programming, you can make a career as a data scientist, data analyst, R programmer, etc.

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