g.part4_extractid

See <a rd-options="" href="/link/g.part4?package=GGIR&version=2.5-0" data-mini-rdoc="GGIR::g.part4">g.part4</a>

idloc

fname

Boolean to indicate whether to rely on a sleeplog

dolog

Should the participant identifier as stored in the sleeplog be
 interpretted as a number (TRUE=default) or a character (FALSE)?

sleeplogidnum

Sleeplog data.frame passed on from g.part4

sleeplog

Extracts ID from filename and finds matching rows in sleeplog. Function not
 designed for direct use by GGIR users.

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://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <https://actigraphcorp.com> devices, and .cwa and .wav-format 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 and has either no header or a two column header. Also the package allows for external function embedding.

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

Matthew R Patterson

Dan Jackson

Lena Kushleyeva

Mathilde Chen

Manasa Yerramalla

g.part4_extractid function

See <a rd-options='' href='g.part4'>g.part4</a>

g.part4_extractid: Extracts ID from filename and finds matching rows in sleeplog

Description

Usage

Arguments

Value