GGIR

Raw Accelerometer Data Analysis

A tool to process and analyse data collected with wearable raw acceleration sensors as described in 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/product/ax3>. These devices are currently widely used in research on human daily physical activity.

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Description file content

Package
GGIR
Type
Package
Title
Raw Accelerometer Data Analysis
Version
1.6-7
Date
2018-09-23
Maintainer
Vincent T van Hees
Description
A tool to process and analyse data collected with wearable raw acceleration sensors as described in van Hees and colleagues (2014) and (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.
URL
BugReports
https://github.com/wadpac/GGIR/issues
License
LGPL (>= 2.0, < 3) | file LICENSE
Suggests
MASS, signal, zoo, mmap, bitops, matlab, GENEAread, tuneR, testthat, covr, knitr, rmarkdown
Imports
data.table, Rcpp (>= 0.12.10)
Depends
stats, utils, R (>= 3.1.2)
NeedsCompilation
yes
LinkingTo
Rcpp
VignetteBuilder
knitr
ByteCompile
yes
Packaged
2018-09-23 10:33:51 UTC; vincent
Author
Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb], Jairo H Migueles [ctb]
Repository
CRAN
Date/Publication
2018-09-23 11:10:02 UTC

install.packages('GGIR')

1.6-7

a month ago

https://github.com/wadpac/GGIR/

Vincent T van Hees

LGPL (>= 2.0, < 3) | file LICENSE

Depends on

stats, utils, R (>= 3.1.2)

Imports

data.table, Rcpp (>= 0.12.10)

Suggests

MASS, signal, zoo, mmap, bitops, matlab, GENEAread, tuneR, testthat, covr, knitr, rmarkdown

Discussions