Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

Arrow left icon
Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

What you need for this book

This book was written in a Linux environment (specifically Ubuntu 17.10), and was also tested with a macOS, High Sierra. Even though it was not tested on a Windows computer, all of the R code presented in this book should work fine with one. The only substantial difference is that when I show you how to perform a task using a Terminal, it will be the bash terminal, which is available in Linux and macOS by default. In the case of Windows, you will need to use the cmd.exe terminal, for which you can find a lot of information online. Keep in mind that if you're using a Windows computer, you should be prepared to do a bit more research on your end to replicate the same functionality, but you should not have much trouble at all.

In the appendix, I show you how to install the software you need to replicate the examples shown in this book. I show you how to do so for Linux and macOS, specifically Ubuntu 17.10 and High Sierra. If you're using Windows, the same principles apply but the specifics may be a bit different. However, I'm sure it will not be too hard in any case.

There are two types of requirements you need to be able to execute all the code in this book: external and internal. Software outside of R is what I call external requirements. Software inside of R, meaning R packages, is what I refer to as internal requirements. I walk you through the installation of both of them in the appendix.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime