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/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <https://theactigraph.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 overview README.md Embedding external functions in GGIR Accelerometer data processing with GGIR" Day segment analyses with GGIR" Embedding external functions in GGIR" GGIR configuration parameters" Published cut-points and how to use them in GGIR" Reading csv files with raw data in GGIR" The GGIR package"

Vignettes Man pages API and functions Files

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], 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	3.0-0
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: `install.packages("GGIR")`