data.getmeta

<p>data.getmeta is example output from g.getmeta</p>

datasets

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://activinsights.com/>, binary (.gt3x) and .csv-export data from  'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export 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. Also the package allows for external function embedding.

Vincent T van Hees

GGIR

Raw Accelerometer Data Analysis

Jairo H Migueles

Severine Sabia

Matthew R Patterson

Zhou Fang

Joe Heywood

Joan Capdevila Pujol

Lena Kushleyeva

Mathilde Chen

Manasa Yerramalla

Patrick Bos

Taren Sanders

Chenxuan Zhao

Ian Meneghel Danilevicz

Victor Barreto Mesquita

Gaia Segantin

Medical Research Council UK 

Accelting 

French National Research Agency 

data.getmeta function

<p>The format is:
 chr "data.getmeta"</p>

Format

Example output from g.getmeta — data.getmeta

Example output from g.getmeta

data.getmeta: Example output from g.getmeta

Description

Usage

Arguments

Format

Examples