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 & Checklist

To complete this class you should do the following :

• install R on your computer

  • if you can’t, use the cloud: posit.cloud [log in with Google and your @sheffield.ac.uk account]

• identify the console

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

• identify the file window

  • create a new project
  • 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

• know how to install and load a library of functions (“a package”)

  • install the swirl package

• open this script

  • review line by line [as a pair exercise]