g.part5_initialise_ts

Initialise time series dataframe ts, part of g.part5.

internal

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/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <https://theactigraph.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

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

Medical Research Council UK 

Accelting 

French National Research Agency 

g.part5_initialise_ts function

<dl> <dt>IMP</dt>
<dd>Object derived from g.part2</dd> <dt>M</dt>
<dd>Object derived from g.part1.</dd> <dt>params_247</dt>
<dd>See GGIR</dd> <dt>params_general</dt>
<dd>See GGIR</dd></dl>

Arguments

Initialise time series data from for part 5 — g.part5_initialise_ts

<dl>

 <dt>IMP</dt>
<dd>Object derived from g.part2</dd>

 <dt>M</dt>
<dd>Object derived from g.part1.</dd>

 <dt>params_247</dt>
<dd>See GGIR</dd>

 <dt>params_general</dt>
<dd>See GGIR</dd>

</dl>

Initialise time series data from for part 5

g.part5_initialise_ts: Initialise time series data from for part 5

Description

Usage

Value

Arguments