PCA is an extremely useful tool for the analysis of high-dimensional datasets. This tutorial will go through how to create and analyse data this way in R, as well as some novel ways to visualise the output

This tutorial aims to set out a process for animating time-series data using animation and ggplot2. It was developed for visualising animal tracks (as x/y co-ordinates at each timestamp), but presented here is a more general version, using the Legendre polynomials as a demonstration function.

This code is designed to generate a 3D plot using the wireframe() function in the lattice package, and export it to an animated image performing an orbital rotation.