GGIR: Raw Accelerometer Data Analysis

A tool to process and analyse data collected with wearable raw acceleration sensors as described in van Hees and colleagues (2014) <doi: 10.1152/japplphysiol.00421.2014> and (2015) <doi: 10.1371/journal.pone.0142533>. The package has been developed and tested for binary data from 'GENEActiv' <https://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <http://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' <https://axivity.com/product/ax3>. These devices are currently widely used in research on human daily physical activity.

Package details

AuthorVincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb], Jairo H Migueles [ctb]
MaintainerVincent T van Hees <[email protected]>
LicenseLGPL (>= 2.0, < 3) | file LICENSE
Version1.7-1
URL https://github.com/wadpac/GGIR/ https://groups.google.com/forum/#!forum/RpackageGGIR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GGIR")

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GGIR documentation built on Nov. 26, 2018, 1:04 a.m.