I graduated with my PhD in August 2017. My doctoral thesis investigated the validity and application of radio-frequency sensors to quantify the match movement profiles of elite and junior-elite female netball athletes. I learnt R throughout my PhD and love the open-source, collaborative community! I still get excited at how data cleaning, analysis, visualisation and reporting can all occur in R.
Since late 2016, I have been a research scientist at Victoria University in Melbourne, Australia. My current role involves supervising postgraduate students, whom are working on a variety of projects including profiling athlete physical output using time-series analysis, detecing kick actions via wearable sensors, exploring skilled behaviour via a constraints-led approach and using spatiotemporal data to analyse tactical behaviour in team-sports.
I reguarly use R (and subsequent packages) to analyse, visualise and report on team-athlete performance data. The purpose of this blog is to highlight the capabilities of R as a data visualisation, analytical and exploratory tool for sport science and research. I often share issues that I encounter, as a researcher who works with many data sources and practical problems, in an applied sport setting.
Aside from completing research and using R, I love being outdoors and grew up playing a lot of sport, including riding/ competing horses, so am a total equestrian and netball nerd. I also enjoy running, reading, baking and spending time being an #RDogLady with my miniature dachshund,
Dudley who is pictured below, modelling how many treats he is entitled to.
If you wish to reach out and ask a question about my research, blog or talks, please do so.
Happy coding in R and thank you for reading!