I am a PhD scholar based in Melbourne, Australia. My PhD thesis focuses on the use of radio-frequency sensors to measure the movement profiles of elite female netball athletes during matches. During my PhD, I have been very lucky to work with some amazing coaches, inspiring athletes and talented scientists plus practitioners. My Honours project (circa 2012) examined the influence of acute hypoxia on simulated team-sport movement. I have also worked as a sport science assistant, monitoring training and match load using GPS, at the Western Bulldogs Football Club who play in the Australian Football League (AFL).

Data mining is a big part of my PhD thesis and part of the reason for my blog! I was introduced to #RStats by one of my very patient supervisors. Learning how to code in R, create figures for visualising spatiotemporal data and publications via ggplot2 plus understand the mechanisms of data mining was daunting at first. I also discovered that limited content existed within physiology, particularly sport physiology and analytics, within R documentation or packages.

Therefore, the purpose of this blog is to highlight the capabilities of R as a data visualisation, analytical and exploratory tool for sport science. I will showcase this using code that can be recycled for use in your own physiology work or analysis on athletic performance. Posts may be sporadic due to a looming PhD thesis deadline! Please contact me if you have any examples, questions or uncover errors. Click here if you wish to follow my PhD journey on Twitter.

Happy coding!