R/RStudio
Throughout semester 1 we will make extensive use of the statistical programming language R, via the RStudio software.
RStudio is available from all ISS cluster PCs. Also, you can download it free of charge to your own PC - instructions on how to do this can be found here.
You will attend a two hour practical session every week during the second half of semester 2. You will be given materials to work through in these practical sessions, and these will appear below after each class.
Deadlines
There is one assignment ("mini project") and one test for this part of the module:
- Assignment due date: 3pm, Thursday 21st November 2019
- Class test: 9am, Tuesday 26th November 2019; some feedback