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://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <https://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: | 2.7-1 |
| Depends: | stats, utils, R (≥ 3.5.0) |
| Imports: | data.table, Rcpp (≥ 0.12.10), foreach, doParallel, signal, zoo, GENEAread, tuneR, unisensR, ineq, read.gt3x, R.utils, activityCounts, ActCR, methods |
| LinkingTo: | Rcpp |
| Suggests: | testthat, covr, knitr, rmarkdown |
| Published: | 2022-05-30 |
| Author: | Vincent T van Hees [aut, cre],
Jairo H Migueles [aut],
Severine Sabia [ctb],
Matthew R Patterson [ctb],
Zhou Fang [ctb],
Jing Hua Zhao [ctb],
Joe Heywood [ctb],
Evgeny Mirkes [ctb],
Joan Capdevila Pujol [ctb],
Dan Jackson [ctb],
Lena Kushleyeva [ctb],
Mathilde Chen [ctb],
Manasa Yerramalla [ctb],
Tuomo Nieminen [cph] (holds copyright over read.gt3x code),
John Muschelli 
[cph] (holds copyright over read.gt3x code),
Patrick Bos [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 accelting.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 |
Documentation:
| Reference manual: | GGIR.pdf |
| Vignettes: |
Embedding external functions in GGIR Accelerometer data processing with GGIR Day segment analyses with GGIR Reading csv files with raw data in GGIR |
Downloads:
| Package source: | GGIR_2.7-1.tar.gz |
| Windows binaries: | r-devel: GGIR_2.7-1.zip, r-release: GGIR_2.7-1.zip, r-oldrel: GGIR_2.7-1.zip |
| macOS binaries: | r-release (arm64): GGIR_2.6-0.tgz, r-oldrel (arm64): GGIR_2.6-0.tgz, r-release (x86_64): GGIR_2.7-1.tgz, r-oldrel (x86_64): GGIR_2.7-1.tgz |
| Old sources: | GGIR archive |
Reverse dependencies:
| Reverse imports: | mMARCH.AC, postGGIR |
Linking:
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