Aug
09
How to run JAGS in R on Apple Silicon
How I got JAGS working in R on a M1 Apple Silicon Mac
1 min read
R
Jul
14
Introducing the {metameta} R package
An R package to effortlessly calculate the statistical power of published meta-analyses to better understand the evidential value of included studies.
4 min read
Jun
30
Equivalence-enhanced forest plots with power tiles for meta-analysis
A guide on visualising equivalence and power for a series of meta-analysis results in R
5 min read
Aug
18
Reproducible and future-proof analysis
Here's a screencast I recently made on how to make a reproducible version of your R analysis. This is incredibly easy to set up, so if you would like to easily share your analyses you should check this out
Jul
24
Creating a synthetic version of a real dataset to facilitate data sharing
How to make a synthetic dataset which mimics the characteristics of a real dataset
3 min read
Jul
19
Why I'm live streaming the creation of a scientific paper
How live streaming will normalize the ups and downs of writing a paper, keep me accountable, and improve my coding and writing.
6 min read
Jun
21
Using equivalence testing to better understand non-significant results
I recently did a series of talks at the "Psychology and the Brain" conference in Germany. I managed to film one these talks, which was on how to better understand non-significant results, for a livestream. Here's the replay...
Jun
15
How to make your own website for free in an under an hour
This tutorial will walk you through how to make your own website for free using the `blogdown` package in RStudio.
5 min read
Jun
13
Three common mistakes in meta-analysis
Meta-analysis has become a popular tool to summarizing data from a body of work investigating a common research question. However, there are several common meta-analysis misunderstandings that can lead to inaccurate conclusions.
8 min read