trackeRapp builds on the extensive infrastructure provided by the trackeR R package to provide a user-friendly web-interface of an integrated workflow for the analysis of running, cycling and swimming data from GPS-enabled tracking devices. The interface offers a range of flexible interactive visualisations and data-analytic tools.
trackeRapp offers functionality to import, clean and organise data from raw activity files of popular formats (tcx, gpx, json and db3) in a structured R object, and finally to export that object so that it can be used for future analyses not only within trackeRapp but also for more advanced modelling in R.
trackeRapp can be installed by typing
The development version of trackeRapp can also be installed directly from github by doing
# install.packages("devtools") devtools::install_github("trackerproject/trackeRapp")
See the tour de trackeRapp pages for tutorial videos, explanation of the workflow and visualizations that trackeRapp offers, and to, generally, learn more about trackeRapp and all of its capabilities.
Below are just a few screenshots from the trackeRapp web interface
trackeRapp has a dedicated YouTube channel. The channel features video tutorials about trackeRapp and the workflow it provides.
Launching the user-interface
The web-interface can be accessed remotely at https://www.trackerapp.com or on a local machine by doing:
# Load the package library("trackeRapp") # Open the interface in the browser trackeR_app()
Code of Conduct
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.