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: |
1.5.2 |
Depends: |
R (≥ 3.1.0), zoo |
Imports: |
ggplot2, ggridges, xml2, RSQLite, jsonlite, raster, scam, foreach, fda, sp, leaflet, ggmap, gridExtra, gtable |
Suggests: |
testthat, knitr, rmarkdown, covr |
Published: |
2019-05-15 |
Author: |
Ioannis Kosmidis
[aut, cre],
Hannah Frick
[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 |
Citation: |
trackeR citation info |
Materials: |
NEWS |
In views: |
SpatioTemporal, SportsAnalytics, Tracking |
CRAN checks: |
trackeR results |
Documentation:
Downloads:
Reverse dependencies:
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