Statistical Computing

Welcome

We have a lot to cover in this bootcamp-style course. By the end, you should be able to write acceptable assignments faster. One of the biggest time sinks in Honours statistics is the process of writing up your analyses, which is often slowed down by two major issues:

  1. Poor structure in R files and projects.
  2. Slowness in reading and writing R code.

Our goal is to address both of these challenges. This course focuses on statistical computing, so many tasks will be statistical in nature.

What About Assignments?

I won’t detail all the assignments, but before term “starts”, you will have:

  • Peer-reviewed assessment:
    • Date: towards the end of next week
    • Format:
      • Collate selected practical work from the first two weeks into a Quarto project, with the code available on GitHub (Quarto and GitHub to be explained later).
      • You will each anonymously mark one other person’s work.
      • We will provide a marking rubric.
  • First practical test:
    • Date: 13 February, 9–11 AM.
    • Format:
      • In-class test, I believe open-book but no internet.
      • Will center on writing R code and interpreting results.