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trackeR: 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) <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

Documentation:

Reference manual: trackeR.pdf
Vignettes: Tour de trackeR
Infrastructure for Running, Cycling and Swimming Data

Downloads:

Package source: trackeR_1.6.0.tar.gz
Windows binaries: r-devel: trackeR_1.6.0.zip, r-release: trackeR_1.6.0.zip, r-oldrel: trackeR_1.6.0.zip
macOS binaries: r-release (arm64): trackeR_1.6.0.tgz, r-oldrel (arm64): trackeR_1.6.0.tgz, r-release (x86_64): trackeR_1.6.0.tgz, r-oldrel (x86_64): trackeR_1.6.0.tgz
Old sources: trackeR archive

Reverse dependencies:

Reverse depends: trackeRapp
Reverse imports: ConconiAnaerobicThresholdTest

Linking:

Please use the canonical form https://CRAN.R-project.org/package=trackeR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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