doi:10.18637/jss.v082.i07>, 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.">

trackeR: Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices (original) (raw)

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) <doi:10.18637/jss.v082.i07>, 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.

Version: 1.6.0
Depends: R (≥ 3.1.0), zoo
Imports: ggplot2, ggridges, xml2, RSQLite, jsonlite, raster, scam, foreach, fda, sp, leaflet, ggmap, gridExtra, gtable
Suggests: spelling, testthat, knitr, rmarkdown, covr
Published: 2024-01-11
DOI: 10.32614/CRAN.package.trackeR
Author: Ioannis Kosmidis ORCID iD [aut, cre], Hannah Frick ORCID iD [aut], Robin Hornak [aut]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis at warwick.ac.uk>
BugReports: https://github.com/trackerproject/trackeR/issues
License: GPL-3
URL: https://github.com/trackerproject/trackeR
NeedsCompilation: no
Language: en-GB
Citation: trackeR citation info
Materials: NEWS
In views: SpatioTemporal, SportsAnalytics, Tracking
CRAN checks: trackeR results

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