GGIR: Raw Accelerometer Data Analysis

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 .wav-format data from Axivity. These devices are currently widely used in research on human daily physical activity.

Version: 1.4
Depends: stats, utils, R (≥ 2.10)
Imports: data.table
Suggests: MASS, signal, zoo, mmap, bitops, matlab, GENEAread, tuneR, testthat, covr
Published: 2017-01-22
Author: Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Severine Sabia [ctb]
Maintainer: Vincent T van Hees <vincentvanhees at>
License: LGPL-2 | LGPL-2.1 | file LICENSE [expanded from: LGPL (≥ 2.0, < 3) | file LICENSE]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: GGIR results


Reference manual: GGIR.pdf
Package source: GGIR_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: GGIR_1.4.tgz, r-oldrel: GGIR_1.4.tgz
Old sources: GGIR archive


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