Easy R

Preface
Why should you learn R, too?
Who should read this book? What do we hope to achieve?
What is in this book? How do yo use it?
What is unique about this book?
Chapter 1: Making Preparations: Software Installation and Project Setup
Introduction
How to download and install R for Windows
How to download and install R for Mac
Download and install RStudio
Set up a project in RStudio
Create folders under project
Summary
Chapter 2: Writing an Essay Using R Markdown: Something for Everyone
Introduction
The pros of using R Markdown
How to create an R Markdown file
How to write and format text in R Markdown
A simple example of an R Markdown document
Other useful formatting tricks
How to use R Markdown for a writing example: A bare bones example
How to revise and improve the bare bones essay
For more ambitious readers
Exercise: Turning knowledge into results
Summary
Chapter 3: Creating Data and Graphs in Reports
Introduction
Bar plot: Graphing the winners of a hot dog eating contest
Bar plot II: Graphing the winning lottery numbers in Texas Pick-3
Pie chart: Graphing the composition of daily plays among Top 5 songs on Spotify
Histogram: Graphing the distribution of LSAT scores in a review class
Scatter Plot: Graphing the relationship between two variables - gas mileages in city and on highway
Time-series plot: Graphing the changing pattern of Youtube video news.
Useful tips: Polishing and exporting graphs
Summary
Chapter 4: Preparing Your Data
Introduction
Writing and running a program in R
Creating your variables and dataset
Manipulating your data using the dplyr package
Rename a variable
Chaining different data manipulation operations
Missing value in R: NA
Summary
Chapter 5: Accessing Datasets
Introduction
Setting up RStudio project
Downloading dataset
Installing R packages for data importing
Importing downloaded dataset in RStudio
Using R data packages: A simple example with gapminder
Using R data packages: A more advanced example with wbstats
Using R data packages: Finding more R data packages
Where do you find more data?
Summary
Chapter 6: Exploratory Data Analysis: Three Exercises
Introduction
Exercise 1: Reporting results of 2016 presidential primary in King County, Washington
Exercise 2: Human use of natural resources: Consumption and biocapacity
Exercise 3: Exploring the impact of GDP per capita on life expectancy
Summary
Chapter 7: Writing a Research Paper Using R: Analyzing the Effect of Economic Development on Life Expectancy
Introduction
Arguments and Hypothesis
Data and Method
Findings
Conclusion
Appendix: Summary Statistics and Codebook
References