A tool to process and analyse data collected with wearable raw acceleration sensors. The package has been developed and tested for binary data from GENEActiv and GENEA devices, .csv-export data from Actigraph devices, and .cwa and .wav-format data from Axivity. These devices are currently widely used in research on human daily physical activity.

Documentation

Manual: GGIR.pdf
Vignette: Accelerometer data processing with GGIR

Maintainer: Vincent T van Hees <vincentvanhees at gmail.com>

Author(s): Vincent T van Hees*, Zhou Fang*, Jing Hua Zhao*, Joe Heywood*, Evgeny Mirkes*, Severine Sabia*

Install package and any missing dependencies by running this line in your R console:

install.packages("GGIR")

Depends stats, utils, R (>= 2.10)
Imports data.table, Rcpp(>=0.12.10)
Suggests MASS, signal, zoo, mmap, bitops, matlab, GENEAread, tuneR, testthat, covr, knitr, rmarkdown
Enhances
Linking to Rcpp
Reverse
depends
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imports
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suggests
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linking to

Package GGIR
Materials
URL https://github.com/wadpac/GGIR/ https://groups.google.com/forum/#!forum/RpackageGGIR
Task Views
Version 1.5-9
Published 2017-05-21
License LGPL (>= 2.0, < 3) | file LICENSE
BugReports https://github.com/wadpac/GGIR/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks GGIR check results
Package source GGIR_1.5-9.tar.gz