WACL R Intro

Materials for WACL's Intro to R Course. This course is split into 2 sessions: the first is a general introduction to R (courses/r-intro), and the second is a data visualization specific session (courses/dataviz).

Before attending the course, ideally you will have completed the following pre-requisites:

• Read through sections 1 & 2 of the self-help materials (TODO: Can we place this here?)
• Downloaded and installed GitHub Desktop
• 'Cloned' a copy of this repository to your computer:
  • Click the Green Code button and copy the HTTPS URL
  • In RStudio click File -> New Project -> Version Control -> Git
  • For the Repository URL copy the GitHub link
  • It should populate the repository name text box
  • Choose an appropriate top level folder. You might want to make a repos folder in your Documents or somewhere easily accessible to store future repositories in, or an RProjects folder

R Introduction

This session will take place over the course of a full day (10am-4pm) and will be split into 3 parts:

• General familiarity working with data in R
• openair introduction
• Flow control and tidy data

The courses/r-intro folder is structured as follows:

• data: Contains all data needed in the course
• docs: Contains all presentations and notes used in delivering the course
• scripts: Where you will write your R code in the corresponding year's folder, in the file named with the corresponding day.
• feedback: Feedback from previous sessions (TODO put solely in Google Drive)
• exercise_answers.R: Answers to the exercises, please don't look unless you get extremely stuck
• get_data.R: Script for downloading the datasets again if needed

Data Visualisation

Coming soon...