This is a short tutorial on visualising (Bayesian) networks in R using the wonderful visNetwork package.

Principle components analysis is a useful technique for clustering data and transforming it into several mutually orthogonal dimensions. Here, we apply it to multiband images. We demonstrate it using an image of the lovely cat, Pepper.

An illustration of a grid-based approach to sampling from wonky probability distributions in R

A short tutorial document on constructing code as a string and then executing it with eval(parse(text = ...)).

for presentation