The use of GPS-enabled tracking devices and heart rate monitors is becoming increasingly common in sports and fitness activities. The trackeR package aims to fill the gap between the routine collection of data from such devices and their analyses in a modern statistical environment like R. The package provides methods to read tracking data and store them in session-based, unit-aware, and operation-aware objects of class trackeRdata. The package also implements core infrastructure for relevant summaries and visualisations, as well as support for handling units of measurement. There are also methods for relevant analytic tools such as time spent in zones, work capacity above critical power (known as W'), and distribution and concentration profiles. A case study illustrates how the latter can be used to summarise the information from training sessions and use it in more advanced statistical analyses.
I'm a freelance statistical computing consultant providing support in R to people in a range of industries, but particularly the life sciences. My interests include statistical modelling, clustering, bioinformatics, reproducible research and graphics. I chair the core group of Forwards... Read More →
