Contents

• General info.
• Course manual.
• Induction.
• Lectures.
• Exercises.
• Youtube channel.
• Statistical Glossary.
• Other courses to check out.
• Electro for R

General info.

The course runs for the first time in sept. 2019. I’ll aim to make all my materials available for the Quantitative part which I cover. The sources are listed at the end of each lecture as well as embedded. (Please also note the disclaimer). Note that some resources might still be linked to the old module code (PY0782).

Course manual.

You can find a course manual here.

Induction.

You can find materials relating to induction here.

Lectures.

Note that these will be updated as the module progresses, so there will be some minor changes

You’ll need to use ‘right click’ and ‘save as’ to save the .rmd.

1. Minute Intro + Lecture 1 and .rmd - Worksheet 1

2. Lecture 2 and .rmd - Worksheet 2

3. Lecture 3 and .rmd - Worksheet 3

4. Lecture 4 and .rmd - Worksheet 4

5. Lecture 5 and .rmd - Worksheet 5

6. Lecture 6 and .rmd - Worksheet 6

7. Lecture 7 and .rmd - Worksheet 7

8. Lecture 8 and .rmd - Worksheet 8

9. Lecture 9, extra class exercise and .rmd - Worksheet 9

10. Lecture 10 and .rmd - Worksheet 10

11. Lecture 11 and .rmd

Starting week 2 you’ll also need this .css, if you want to replicate the slides. You will also need the xaringan package.

Exercises.

1. Exercise 1 and .rmd

2. Exercise 2 and .rmd

3. Exercise 3 and .rmd

4. Exercise 4 and .rmd

5. Exercise 5 and .rmd

6. Exercise 6 and .rmd

7. Exercise 7 and .rmd

8. Exercise 8 and .rmd

9. Exercise 9 and .rmd

10. Exercise 10 and .rmd

Occassionally, you’ll need a dataset which is not included (for some I am not the owner). If that’s the case send me an email and I’ll provide you with the dataset needed for your exercise.

Youtube channel.

Occasional screencasts can be found here. I’ll aim to make screencasts for recurrent questions by students.

Statistical Glossary.

Struggling with some terms. Have a look here

Other courses to check out.

• PsyTeachR at Glasgow
• Gert Stulp’s course on Data Visualisation at Groningen
• Glenn Williams’s course at Northumbria
• Adam Kuczynski’s course at the University of Washington
• Richard McElreath’s Statistical Rethinking course, 2024

Electro for R

• Should you want to listen to electronic music while doing R, then why not explore my poor musical taste: Spotify playlist. Hit shuffle and code away… .
• You hate electro and instead like some heavy guitars … as R just makes you angry, I recommend this medicine: Spotify playlist. Again I apologise for my poor taste… .