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trackeR : infrastructure for running and cycling data from GPS-enabled tracking devices in R

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Frick, Hannah and Kosmidis, Ioannis (2017) trackeR : infrastructure for running and cycling data from GPS-enabled tracking devices in R. Journal of Statistical Software, 82 (7). pp. 1-29. ISSN 1548-7660.

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Official URL: https://www.jstatsoft.org/v082/i07

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Abstract

The use of GPS-enabled tracking devices and heart rate monitors is becoming increasingly common in sports and fitness activities. The trackeR package aims to fill the gap between the routine collection of data from such devices and their analyses in R. The package provides methods to import tracking data into data structures which preserve units of measurement and are organized in sessions. The package implements core infrastructure for relevant summaries and visualizations, as well as support for handling units of measurement. There are also methods for relevant analytic tools such as time spent in zones, work capacity above critical power (known as W'), and distribution and concentration profiles. A case study illustrates how the latter can be used to summarize the information from training sessions and use it in more advanced statistical analyses.

Item Type: Journal Article
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Global Positioning System, R (Computer program language), Wearable technology, Heart rate monitoring, Geospatial data, Data mining
Journal or Publication Title: Journal of Statistical Software
Publisher: University of California, Los Angeles
ISSN: 1548-7660
Official Date: 4 December 2017
Dates:
DateEvent
4 December 2017Published
9 December 2016Accepted
Volume: 82
Number: 7
Page Range: pp. 1-29
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 16 February 2018
Date of first compliant Open Access: 19 February 2018

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