trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices

The aim of this package is to provide infrastructure for handling running and cycling data from GPS-enabled tracking devices. After extraction and appropriate manipulation of the training or competition attributes, the data are placed into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information in the resulting data objects can then be visualised, summarised, and analysed through corresponding flexible and extensible methods.

Version: 1.0.0
Depends: R (≥ 2.10.0), zoo, ggplot2
Imports: parallel, XML, RSQLite, jsonlite, raster, scam, fda, ggmap, leaflet, gridExtra, gtable
Suggests: testthat, knitr, rmarkdown
Published: 2017-11-27
Author: Hannah Frick ORCID iD [aut, cre], Ioannis Kosmidis ORCID iD [aut]
Maintainer: Hannah Frick <hannah.frick at gmail.com>
BugReports: https://github.com/hfrick/trackeR/issues
License: GPL-2 | GPL-3
URL: https://github.com/hfrick/trackeR
NeedsCompilation: no
Citation: trackeR citation info
Materials: NEWS
In views: SpatioTemporal
CRAN checks: trackeR results

Downloads:

Reference manual: trackeR.pdf
Vignettes: Tour de trackeR
Infrastructure for Running and Cycling Data
Package source: trackeR_1.0.0.tar.gz
Windows binaries: r-devel: trackeR_1.0.0.zip, r-release: trackeR_1.0.0.zip, r-oldrel: trackeR_1.0.0.zip
OS X El Capitan binaries: r-release: trackeR_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: trackeR_1.0.0.tgz
Old sources: trackeR archive

Linking:

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