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
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
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.
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...
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.
The benefits and drawbacks of intranasally-delivered medications
The nasal cavity is the only accessible surface on your body that has direct access to the central nervous system. But there are a few important considerations for using this administration route for brain-targeted medications
How to respond to reviewer’s comments on your manuscript
You might be frustrating the people who peer-review you manuscripts without even realising it. Here are some brief tips on reducing peer review friction from my (limited) experience as an author, reviewer, and associate editor.
The academic publishing industry, explained
The importance of the battle for open scientific publishing
Identifying and labeling boxplot outliers in R
Boxplots typically visualize outliers, however, they don't indicate at glance which participant or datapoint is your outlier. Labeling your boxplot outliers is straightforward using the `ggstatsplot` package, here's a quick tutorial on how to do this.
