Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices

Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) , which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.


Reference manual

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install.packages("trackeR")

1.6.1 by Ioannis Kosmidis, a year ago


https://github.com/trackerproject/trackeR


Report a bug at https://github.com/trackerproject/trackeR/issues


Browse source code at https://github.com/cran/trackeR


Authors: Ioannis Kosmidis [aut, cre] (ORCID: , Hannah Frick [aut] , Robin Hornak [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, ggridges, xml2, RSQLite, jsonlite, raster, scam, foreach, fda, sp, leaflet, ggmap, patchwork

Depends on zoo

Suggests spelling, testthat, knitr, rmarkdown, covr


Imported by ConconiAnaerobicThresholdTest.

Depended on by trackeRapp.


See at CRAN