Chapter 2 R & R Studio

2.1 Resources

• Statistical computing using R, the open source programming language, and the R Studio interface.
• Guide: How to install R and RStudio?
• https://swirlstats.com/
• Nick HK Troubleshooting Common Problems
• r-bloggers.com Top 10 errors in R and how to fix them
• rtutor.ai/ - natural language interface to R

2.2 Exercises

• install R on your computer
  • if you can’t, use the cloud: posit.cloud [log in with Google and your @sheffield.ac.uk account]
• open this script
  • review line by line [as a pair exercise]
• know how to install and load a library of functions (“a package”)
  • install the swirl package

2.3 Checklist

To complete this class you should be able to do the following :

• have R and RStudio installed and working correctly

• create a new project

• identify the console

  • here you can enter a command directly (e.g. “2 + 2”)

• identify the file window

• save a script as a .R file

• run a single line of the script by pressing CTRL + ENTER

• run the whole script

• identify the environment window

• identify the files/plots/etc window