Preface Why Should You Learn R Too? Who Should Read This Book? What Does This Book Hope to Achieve? What Is in This Book? How Can You Use It? What Is Unique About This Book?AcknowledgmentsAbout the AuthorsCHAPTER 1 * Making Preparations: Software Installation and Project Setup 1.1 Introduction 1.2 How to Download and Install R for Windows 1.3 How to Download and Install R for Mac 1.4 Downloading and Installing RStudio 1.5 Setting Up a Project in RStudio 1.6 Creating Folders Under a Project 1.7 Summary 1.
8 ReferencesCHAPTER 2 * Writing Your Essay Using R Markdown: Something for Everyone 2.1 Introduction 2.2 The Pros of Using R Markdown 2.3 How to Create an R Markdown File 2.4 How to Write and Format Text in R Markdown 2.5 A Simple Example of an R Markdown Document 2.6 Other Useful Formatting Tricks 2.7 How to Use R Markdown for a Writing Assignment: A Bare-Bones Example 2.
8 How to Revise and Improve Your Bare-Bones Essay 2.9 For More Ambitious Readers 2.10 Exercise: Turning Knowledge Into Results 2.11 Summary 2.12 ReferencesCHAPTER 3 * Creating Data and Graphs in Your Essays 3.1 Introduction 3.2 Bar Plot I: Graphing the Winners of a Hot Dog Eating Contest 3.3 Bar Plot II: Graphing Winning Lottery Numbers in Texas Pick-3 3.
4 Pie Chart: Graphing the Composition of Daily Plays Among Top 5 Songs on Spotify 3.5 Histogram: Graphing the Distribution of LSAT Scores in a Review Class 3.6 Scatter Plot: Graphing the Relationship Between Two Variables-- Gas Mileages in the City and on the Highway 3.7 Time Series Plot: Graphing the Changing Pattern of YouTube Video Views 3.8 Useful Tips: Polishing and Exporting Graphs 3.9 Summary 3.10 ReferencesCHAPTER 4 * Preparing Your Data 4.1 Introduction 4.
2 Writing and Running a Program in R 4.3 Creating Variables and Forming a Dataset 4.4 Manipulating Data Using the dplyr Package 4.5 Chaining Different Data Manipulation Operations: pipe (%>%) 4.6 Missing Values in R: NA 4.7 Summary 4.8 ReferencesCHAPTER 5 * Accessing Datasets 5.1 Introduction 5.
2 Setting Up an RStudio Project 5.3 Downloading a Dataset 5.4 Installing R Packages for Data Importing 5.5 Importing a Downloaded Dataset in RStudio 5.6 Using R Data Packages: A Simple Example With gapminder 5.7 Using R Data Packages: A More Advanced Example With wbstats 5.8 Using R Data Packages: Finding More R Data Packages 5.9 Where Can You Find More Data? 5.
10 Summary 5.11 ReferencesCHAPTER 6 * Exploratory Data Analysis: Three Exercises 6.1 Introduction 6.2 Exercise 1: Reporting Results of the 2016 Presidential Primary in King County, Washington 6.3 Exercise 2: Human Use of Natural Resources: Consumption and Biocapacity 6.4 Exercise 3: Exploring the Impact of GDP per Capita on Life Expectancy 6.5 Summary 6.6 ReferencesCHAPTER 7 * Writing Your Research Paper Using R: Analyzing the Effect of Economic Development on Life Expectancy.