Projects

30-Day Map Challenge 2022

Making an R package develops generic coding skills and gives you valuable insight to how R works. We’ll cover setting up a package project, creating functions, documenting them with roxygen, creating vignettes, unit testing, package testing, version control with git, and distribution with github.

This project aims to make code review easier and more common in research. The first project is to create a guide for research code review aimed at novice to intermediate coders.

Workshop materials for data simulation and power analysis.

Broadly, the aim of ManyFaces is to improve, diversify, and crowdsource key aspects of face research, including perception and recognition. This involves, for example, the collection and use of face stimuli; sharing existing stimulus sets; standardising stimulus collection procedures; and organising stimulus collection across multiple labs to obtain larger and more diverse face stimulus sets. ManyFaces also aims to crowdsource data collection across our members’ labs to test key research questions in face perception and recognition, enabling larger-scale designs and more diverse participant samples and generalisable findings. Finally, we aim to organise training workshops for key methods (e.g., morphing) and analyses (e.g., mixed effects models) used in face research.

30-Day Chart Challenge 2022

Shiny lets you make web applications that do anything you can code in R. For example, you can share your data analysis in a dynamic way with people who don’t use R, collect and visualize data, or even make data aRt.

R functions for simulating factorial datasets.

An open source, online tool for morphing and transforming faces.

An open-source, online platform for psychology studies.