Nothing
GGIR: Raw Accelerometer Data Analysis
A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export 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. Also the package allows for external function embedding.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Vincent T van Hees [aut, cre], Jairo H Migueles [aut] (<https://orcid.org/0000-0003-0366-6935>), Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [ctb] (<https://orcid.org/0000-0002-6033-960X>), Taren Sanders [ctb], Chenxuan Zhao [ctb], Segantin Gaia [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd], French National Research Agency [cph, fnd] |
| Maintainer | Vincent T van Hees <v.vanhees@accelting.com> |
| License | Apache License (== 2.0) | file LICENSE |
| Version | 3.1-4 |
| URL | https://github.com/wadpac/GGIR/ https://groups.google.com/forum/#!forum/RpackageGGIR https://wadpac.github.io/GGIR/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the GGIR package in your browser
Any scripts or data that you put into this service are public.
