## Go Team Science!

- psyTeachR: A growing collection of resources for teaching reproducible science (using rstats)
- Psychological Science Accelerator: A globally distributed network of psychological science laboratories that coordinates data collection for democratically selected studies

## Courses

- Data Skills: An MSc course I teach with Dale Barr introducing data wrangling in R
- Academic Webpages: An MSc course in creating github webpages with rmarkdown
- Shiny: Basic tutorials on making shiny apps

## Code

- webmorph An open source, online tool for morphing and transforming faces
- experimentum An open-source, online platform for psychology studies
- faux R functions for simulating datasets

## Shiny Apps

I just started learning how to make shiny apps. It’s a fun way to demo data visualisations and statistical concepts.

- plot demo Set the sample size, main effects, and interaction effect for a 2x2 design, then view six different visualisations of the simulated data.
- guess Guess the effect size from a plot of random data and visualise your accuracy.
- topcentile: Calculates the ratio of group A and group B members above a specificed percentile. You set the means and standard deviations for groups A and B (only normal distributions for now).
- coinsim: Flip a virtual coin any number of times (with a bias that you set) and calculate the exact binomial probability of getting the sequence with a fair coin.
- normsim: Simulate a normal distribution of a specified number and mean (with SD = 1) and to run a one-sample t-test against 0. You can visualise the distribution of each sample and the distribution of p-values over all the samples you create.
- varviz: Simulate and visualise a normal distribution with a specified number, mean and SD. (Present for Phil McAleer)