R Programming for Data Science
R Programming for Data Science
About the Book
Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world.
This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.
If you are interested in a printed copy of this book, you can purchase one at Lulu.
About the Author
Packages
The Book
This package contains just the book in PDF, EPUB, or MOBI formats.
English
PDF
EPUB
MOBI
WEB
The Book + Datasets + R Code Files
This package contains the book and R code files corresponding to each of the chapters in the book. The package also contains the datasets used in all of the chapters so that the code can be fully executed.
Includes:
Datasets
R Code Files
English
PDF
EPUB
MOBI
WEB
The Book + Lecture Videos (HD) + Datasets + R Code Files
This package includes the book, high definition lecture video files (720p), datasets and R code files for all chapters. The collection also contains live demonstrations of how to use various aspects of R that could not be included in the book. The videos are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.
Includes:
Datasets
R Code Files
Lecture Videos (HD)
English
PDF
EPUB
MOBI
WEB
Table of Contents
- 1. Stay in Touch!
- 2. Preface
-
3. History and Overview of R
- 3.1 What is R?
- 3.2 What is S?
- 3.3 The S Philosophy
- 3.4 Back to R
- 3.5 Basic Features of R
- 3.6 Free Software
- 3.7 Design of the R System
- 3.8 Limitations of R
- 3.9 R Resources
-
4. Getting Started with R
- 4.1 Installation
- 4.2 Getting started with the R interface
-
5. R Nuts and Bolts
- 5.1 Entering Input
- 5.2 Evaluation
- 5.3 R Objects
- 5.4 Numbers
- 5.5 Attributes
- 5.6 Creating Vectors
- 5.7 Mixing Objects
- 5.8 Explicit Coercion
- 5.9 Matrices
- 5.10 Lists
- 5.11 Factors
- 5.12 Missing Values
- 5.13 Data Frames
- 5.14 Names
- 5.15 Summary
-
6. Getting Data In and Out of R
- 6.1 Reading and Writing Data
-
6.2 Reading Data Files with
read.table() - 6.3 Reading in Larger Datasets with read.table
- 6.4 Calculating Memory Requirements for R Objects
-
7. Using the
readrPackage -
8. Using Textual and Binary Formats for Storing Data
-
8.1 Using
dput()anddump() - 8.2 Binary Formats
-
8.1 Using
-
9. Interfaces to the Outside World
- 9.1 File Connections
- 9.2 Reading Lines of a Text File
- 9.3 Reading From a URL Connection
-
10. Subsetting R Objects
- 10.1 Subsetting a Vector
- 10.2 Subsetting a Matrix
- 10.3 Subsetting Lists
- 10.4 Subsetting Nested Elements of a List
- 10.5 Extracting Multiple Elements of a List
- 10.6 Partial Matching
- 10.7 Removing NA Values
-
11. Vectorized Operations
- 11.1 Vectorized Matrix Operations
-
12. Dates and Times
- 12.1 Dates in R
- 12.2 Times in R
- 12.3 Operations on Dates and Times
- 12.4 Summary
-
13. Managing Data Frames with the
dplyrpackage- 13.1 Data Frames
-
13.2 The
dplyrPackage -
13.3
dplyrGrammar -
13.4 Installing the
dplyrpackage -
13.5
select() -
13.6
filter() -
13.7
arrange() -
13.8
rename() -
13.9
mutate() -
13.10
group_by() -
13.11
%>% - 13.12 Summary
-
14. Control Structures
-
14.1
if-else -
14.2
forLoops -
14.3 Nested
forloops -
14.4
whileLoops -
14.5
repeatLoops -
14.6
next,break - 14.7 Summary
-
14.1
-
15. Functions
- 15.1 Functions in R
- 15.2 Your First Function
- 15.3 Argument Matching
- 15.4 Lazy Evaluation
-
15.5 The
...Argument -
15.6 Arguments Coming After the
...Argument - 15.7 Summary
-
16. Scoping Rules of R
- 16.1 A Diversion on Binding Values to Symbol
- 16.2 Scoping Rules
- 16.3 Lexical Scoping: Why Does It Matter?
- 16.4 Lexical vs. Dynamic Scoping
- 16.5 Application: Optimization
- 16.6 Plotting the Likelihood
- 16.7 Summary
- 17. Coding Standards for R
-
18. Loop Functions
- 18.1 Looping on the Command Line
-
18.2
lapply() -
18.3
sapply() -
18.4
split() - 18.5 Splitting a Data Frame
- 18.6 tapply
-
18.7
apply() - 18.8 Col/Row Sums and Means
- 18.9 Other Ways to Apply
-
18.10
mapply() - 18.11 Vectorizing a Function
- 18.12 Summary
-
19. Regular Expressions
- 19.1 Before You Begin
- 19.2 Primary R Functions
-
19.3
grep() -
19.4
grepl() -
19.5
regexpr() -
19.6
sub()andgsub() -
19.7
regexec() -
19.8 The
stringrPackage - 19.9 Summary
-
20. Debugging
- 20.1 Something’s Wrong!
- 20.2 Figuring Out What’s Wrong
- 20.3 Debugging Tools in R
-
20.4 Using
traceback() -
20.5 Using
debug() -
20.6 Using
recover() - 20.7 Summary
-
21. Profiling R Code
-
21.1 Using
system.time() - 21.2 Timing Longer Expressions
- 21.3 The R Profiler
-
21.4 Using
summaryRprof() - 21.5 Summary
-
21.1 Using
-
22. Simulation
- 22.1 Generating Random Numbers
- 22.2 Setting the random number seed
- 22.3 Simulating a Linear Model
- 22.4 Random Sampling
- 22.5 Summary
-
23. Data Analysis Case Study: Changes in Fine Particle Air Pollution in the U.S.
- 23.1 Synopsis
- 23.2 Loading and Processing the Raw Data
- 23.3 Results
-
24. Parallel Computation
- 24.1 Hidden Parallelism
- 24.2 Embarrassing Parallelism
- 24.3 The Parallel Package
- 24.4 Example: Bootstrapping a Statistic
- 24.5 Building a Socket Cluster
- 24.6 Summary
- 25. Why I Indent My Code 8 Spaces
- 26. About the Author
Authors have earned$9,656,384writing, publishing and selling on Leanpub, earning 80% royalties while saving up to 25 million pounds of CO2 and up to 46,000 trees.
Learn more about writing on Leanpub
The Leanpub 45-day 100% Happiness Guarantee
Within 45 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers), EPUB (for phones and tablets) and MOBI (for Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Top Books
- #1
El Manual del Manager
Keyvan Akbary, Félix López, and Álvaro Salazar¿Has deseado alguna vez el haber tenido una buena introducción al rol del Engineering Manager? En este libro aprenderás lo necesario para ejercer el rol de una manera efectiva: Expectativas y Responsabilidades del Rol, 1-1s, Ayudar a Crecer, Objetivos, Planes de Carrera, Cultura, Feedback, Contratación, Cultura de Producto y mucho más.
- #2
Ansible for Kubernetes
Jeff GeerlingAnsible is a powerful infrastructure automation tool. Kubernetes is a powerful application deployment platform. Learn how to use these tools to automate massively-scalable, highly-available infrastructure.
- #3
Functional Design and Architecture
Alexander GraninSoftware Design in Functional Programming, Design Patterns and Practices, Methodologies and Application Architectures. How to build real software in Haskell with less efforts and low risks. The first complete source of knowledge.
- #4
CCIE Service Provider Version 4 Written and Lab Exam Comprehensive Guide
Nicholas RussoThe service provider landscape has changed rapidly over the past several years. Networking vendors are continuing to propose new standards, techniques, and procedures for overcoming new challenges while concurrently reducing costs and delivering new services. Cisco has recently updated the CCIE Service Provider track to reflect these changes; this book represents the author's personal journey in achieving that certification.
- #5
CCIE SP v4.1 - Workbook
Łukasz Bromirski, Piotr Jablonski, and Nicholas RussoAre you striving to prepare to and pass CCIE SP lab exam? Take the opportunity and get this workbook! With the attached initial cfg files you will prepare yourself for the CCIE SP exam as well as learn SP technologies applicable to all kinds of today modern networks! This workbook covers blueprint topics and provides challenging examples.
- #6
Ansible for DevOps
Jeff GeerlingAnsible is a simple, but powerful, server and configuration management tool. Learn to use Ansible effectively, whether you manage one server—or thousands.
- #7
Code Faster in Delphi
Alister ChristieThis book will make you a faster Delphi developer, it doesn't matter if you are just starting out, or have been using Delphi since version 1, you will find all sorts of tips, tricks and hacks to boost your productivity.
- #8
R Programming for Data Science
Roger D. PengThis book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.
- #9
Practical FP in Scala: A hands-on approach
Gabriel VolpeA practical book aimed for those familiar with functional programming in Scala who are yet not confident about architecting an application from scratch.
Together, we will develop a purely functional application using the best libraries in the Cats ecosystem, while learning about design patterns and best practices.
- #10
Cloud Strategy
Gregor Hohpe“Strategy is the difference between making a wish and making it come true.” A successful migration to the cloud shouldn’t be driven by wishes, but guided by a sound strategy, frameworks, and decision models. This book tells you how—without becoming superficial nor getting lost in technology and product details.
Top Bundles
- #1
Quality Software
11 Books
The Quality Software Bundle is for managers, would-be managers, and any of us who find themselves being managed and confused. This comprehensive bundle covers the entire span of software development approaches, from hacking through waterfall, cascade, prototyping, Iterative enhancement, reusable code, off-the-shelf, to Agile teams. The bundle... - #2
agile
11 Books
In this bundle, you will find 10 different agile books. They are about different aspects of being agile. - finding a job - doing coding dojo's - Retrospectives - Personal kanban - a non-typical coaching book and even a book that gives you an insight in the lives of some agile people. - #3
WTFlop 6M + HU - Beta Bundle
6 Books
- #4
Node Patterns
6 Books
- #5
Fifty Quick Ideas
3 Books
Get all three books for the price of two! Fifty Quick Ideas books are full of practical, real-world techniques that you can use to improve teamwork, build better products and build them in a better way. - #6
Growing Agile: Coach's Guide Series
4 Books
This bundle provides a collection of training and workshop plans for a variety of agile topics. The series is aimed at agile coaches, trainers and ScrumMasters who often find themselves needing to help teams understand agile concepts. Each book in the series provides the plans, slides, handouts and activity instructions to run a number of... - #7
Marionette.js A to Z
3 Books
Marionette.js has become a popular Backbone-based javascript library, because it helps you avoid boiler-plate code and focus on what makes your app special. But how do you get started?Whether you want to finally get started with dynamic client-side programming (like one reader did), or are an experienced front-end dev who has inherited a... - #8
Complete Scala Bundle
3 Books
Scala is a general-purpose programming language and it's getting extremely popular these days. Some say that learning Scala could be a challenging task. My experience, however, suggests that this is actually a myth that has very little to do with reality. With the right approach, learning Scala can be easy, fun and rewarding.The first book from... - #9
Build A Better Backbone App
3 Books
The best way to learn new development skills is through experience, but that takes time you don't have.Get the best of both worlds with this bundle: you'll learn how to produce modern web applications by learning from experienced developers like Derick Bailey and David Sulc. BackboneJS is one of the favorite tools on the web today, but it... - #10
People Skills—Soft but Difficult
7 Books
Perhaps you've been told that "lack of people skills" has been holding you back. No wonder: you may have had hundreds of hours of technical training, but little or no "people skills" guidance.You've heard it said that people skills are "soft," whereas technical skills are "hard." For you, though, technical skills are "easy," but people skills...
