GGIR: Raw Accelerometer Data Analysis

A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (2019) <doi: 10.1123/jmpb.2018-0063>, 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>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format and has either no header or a two column header. Also the package allows for external function embedding.

Package details

AuthorVincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb], Joan Capdevila Pujol [ctb], Jairo H Migueles [ctb], Matthew R Patterson [ctb], Dan Jackson [ctb]
MaintainerVincent T van Hees <vincentvanhees@gmail.com>
LicenseLGPL (>= 2.0, < 3) | file LICENSE
Version2.0-0
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 May 1, 2020, 9:06 a.m.