A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (2019) <doi:10.1123/jmpb.2018-0063>, van Hees and colleagues (2014) <doi:10.1152/japplphysiol.00421.2014>, and (2015) <doi:10.1371/journal.pone.0142533>. The package has been developed and tested for binary data from 'GENEActiv' <https://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <http://actigraphcorp.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.
Version: | 2.0-0 |
Depends: | stats, utils, R (≥ 3.5.0) |
Imports: | data.table, Rcpp (≥ 0.12.10), foreach, doParallel, signal, zoo, bitops, matlab, GENEAread, tuneR |
LinkingTo: | Rcpp |
Suggests: | testthat, covr, knitr, rmarkdown |
Published: | 2020-05-01 |
Author: | Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb], Joan Capdevila Pujol [ctb], Jairo H Migueles [ctb], Matthew R Patterson [ctb], Dan Jackson [ctb] |
Maintainer: | Vincent T van Hees <vincentvanhees at gmail.com> |
BugReports: | https://github.com/wadpac/GGIR/issues |
License: | LGPL-2 | LGPL-2.1 | file LICENSE [expanded from: LGPL (≥ 2.0, < 3) | file LICENSE] |
URL: | https://github.com/wadpac/GGIR/, https://groups.google.com/forum/#!forum/RpackageGGIR |
NeedsCompilation: | yes |
Citation: | GGIR citation info |
Materials: | README NEWS |
In views: | Tracking |
CRAN checks: | GGIR results |
Reference manual: | GGIR.pdf |
Vignettes: |
Embedding external functions in GGIR Accelerometer data processing with GGIR |
Package source: | GGIR_2.0-0.tar.gz |
Windows binaries: | r-devel: GGIR_2.0-0.zip, r-release: GGIR_2.0-0.zip, r-oldrel: GGIR_2.0-0.zip |
macOS binaries: | r-release: GGIR_2.0-0.tgz, r-oldrel: GGIR_2.0-0.tgz |
Old sources: | GGIR archive |
Reverse imports: | AGread |
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