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' <> and GENEA devices (not for sale), .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. 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.

Version: 2.10-1
Depends: stats, utils, R (≥ 3.5)
Imports: data.table, foreach, doParallel, signal, zoo, unisensR, ineq, methods
Suggests: testthat, covr, knitr, rmarkdown, actilifecounts, ActCR, GGIRread, read.gt3x
Published: 2023-08-10
Author: Vincent T van Hees [aut, cre], Jairo H Migueles ORCID iD [aut], 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 ORCID iD [ctb], 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 at>
License: Apache License (== 2.0) | file LICENSE
NeedsCompilation: no
Citation: GGIR citation info
Materials: README NEWS
In views: Tracking
CRAN checks: GGIR results


Reference manual: GGIR.pdf
Vignettes: Published cut-points and how to use them in GGIR
Embedding external functions in GGIR
Accelerometer data processing with GGIR
GGIR configuration parameters
Day segment analyses with GGIR
The GGIR package
Reading csv files with raw data in GGIR


Package source: GGIR_2.10-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GGIR_2.10-1.tgz, r-oldrel (arm64): GGIR_2.10-1.tgz, r-release (x86_64): GGIR_2.10-1.tgz, r-oldrel (x86_64): GGIR_2.10-1.tgz
Old sources: GGIR archive

Reverse dependencies:

Reverse imports: mMARCH.AC, postGGIR


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