GGIR (1.10-7)

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Raw Accelerometer Data Analysis.

https://github.com/wadpac/GGIR/
https://groups.google.com/forum/#!forum/RpackageGGIR
http://cran.r-project.org/web/packages/GGIR

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. 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.

Maintainer: Vincent T van Hees
Author(s): 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]

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

Uses: bitops, data.table, doParallel, foreach, GENEAread, matlab, Rcpp, signal, tuneR, zoo, testthat, knitr, rmarkdown, covr
Reverse depends: GENEAread

Released about 1 month ago.


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