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.

Maintainer: Hannah Frick <h.frick at ucl.ac.uk>

Author(s): Hannah Frick*, Ioannis Kosmidis*

Install package and any missing dependencies by running this line in your R console:

install.packages("trackeR")

Depends R (>= 2.10.0), zoo, ggplot2
Imports parallel, XML, RSQLite, jsonlite, raster, scam, fda, ggmap, leaflet, gridExtra, gtable, colorspace
Suggests testthat, knitr, rmarkdown
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package trackeR
Materials
URL https://github.com/hfrick/trackeR
Task Views SpatioTemporal
Version 0.0.5
Published 2017-01-12
License GPL-2 | GPL-3
BugReports https://github.com/hfrick/trackeR/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks trackeR check results
Package source trackeR_0.0.5.tar.gz