g.getstarttime

datafile

Object extracted with <a rd-options="" href="/link/g.readaccfile?package=GGIR&version=1.8-1" data-mini-rdoc="GGIR::g.readaccfile">g.readaccfile</a>

File header extracted with <a rd-options="" href="/link/g.inspectfile?package=GGIR&version=1.8-1" data-mini-rdoc="GGIR::g.inspectfile">g.inspectfile</a>

header

Same as in <a rd-options="" href="/link/g.dotorcomma?package=GGIR&version=1.8-1" data-mini-rdoc="GGIR::g.dotorcomma">g.dotorcomma</a>

dformat

desiredtz

See <a rd-options="" href="/link/g.part1?package=GGIR&version=1.8-1" data-mini-rdoc="GGIR::g.part1">g.part1</a>

selectdaysfile

Extract start time of a measurement. GGIR calculates all timestamps by
 using the first timestamp and sample frequency. Not intended
 for direct use by package user

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.

Vincent T van Hees

GGIR

Raw Accelerometer Data Analysis

Zhou Fang

Jing Hua Zhao

Joe Heywood

Evgeny Mirkes

Severine Sabia

Joan Capdevila Pujol

Jairo H Migueles

g.getstarttime function

Object extracted with <a rd-options='' href='g.readaccfile'>g.readaccfile</a>

File header extracted with <a rd-options='' href='g.inspectfile'>g.inspectfile</a>

Same as in <a rd-options='' href='g.dotorcomma'>g.dotorcomma</a>

See <a rd-options='' href='g.part1'>g.part1</a>

g.getstarttime: Extract start time of a measurement

Description

Usage

Arguments

Value