Seventh Summer School on Statistical Methods for Linguistics and Psychology

Advanced methods in frequentist statistics with Julia

Author

Phillip Alday, Reinhold Kliegl and Douglas Bates

Published

2024-06-27

This site provides materials for the Advanced frequentist methods stream of the Summer School on Statistical Methods to be held at the University of Potsdam, 11-15 September, 2023.

1 Installation of tools prior to the course

This section of the summer school will use the Julia programming language and related tools. Because most students in the course will have more experience with R and the RStudio integrated development environment (IDE), it is necessary to install and configure several software systems prior to the course.

1.1 git

We will assume that you have git installed and are able to clone a repository from github. If not, Happy Git with R is a good place to learn about git for data science.

This website is built using quarto, described below, from the repository. Clone this repository with, e.g.

git clone https://github.com/RePsychLing/SMLP2023

1.2 Julia Programming Language

We will use Julia v1.9 in the summer school. We recommend using Juliaup to install and manage Julia versions. Juliaup makes it trivial to upgrade to new Julia releases or even use old ones. Alternatively, you can download the version appropriate for your setup from here: Julia Programming Language

1.3 Visual Studio Code (VS Code)

We will use VS Code IDE, that is Julia : VS Code ~ R : RStudio. You can download the version appropriate for your setup from here: VS Code

1.4 Quarto

The web site and other documents for this course are rendered using a knitr-like system called Quarto. You can download the version appropriate for your setup from here: quarto

2 Summary

We assume everybody will succeed with the installations. If not, please get in touch!

You may also want to give it a try to get these tools to play nicely with each other – but don’t spend too much time on this.

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