CRAN/E | GGIR

GGIR

Raw Accelerometer Data Analysis

Installation

About

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' , binary (.gt3x) and .csv-export data from 'Actigraph' devices, and binary (.cwa) and .csv-export 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. Also the package allows for external function embedding.

Citation GGIR citation info
github.com/wadpac/GGIR/
groups.google.com/forum/#!forum/RpackageGGIR
wadpac.github.io/GGIR/
Bug report File report

Key Metrics

Version 3.0-9
R ≥ 3.5
Published 2024-03-19 41 days ago
Needs compilation? no
License Apache License (== 2.0)
License File
CRAN checks GGIR results

Downloads

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Maintainer

Maintainer

Vincent T van Hees

v.vanhees@accelting.com

Authors

Vincent T van Hees

aut / cre

Jairo H Migueles

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

ctb

Taren Sanders

ctb

Chenxuan Zhao

ctb

Medical Research Council UK

cph / fnd

Accelting

cph / fnd

French National Research Agency

cph / fnd

Material

README
NEWS
Reference manual
Package source

In Views

Tracking

Vignettes

Published cut-points and how to use them in GGIR
Embedding external functions in GGIR
Accelerometer data processing with GGIR
GGIR configuration parameters
Household Co-Analysis
Day segment analyses with GGIR
Reading csv files with raw data in GGIR

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GGIR archive

Depends

stats
utils
R ≥ 3.5

Imports

data.table
foreach
doParallel
signal
zoo
unisensR
ineq
methods
psych
irr
lubridate
GGIRread
ActCR
read.gt3x

Suggests

testthat
covr
knitr
rmarkdown
actilifecounts
readxl

Reverse Imports

agcounts
mMARCH.AC
postGGIR