numUnpack

pack

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

Jairo H Migueles

Severine Sabia

Matthew R Patterson

Zhou Fang

Jing Hua Zhao

Joe Heywood

Evgeny Mirkes

Joan Capdevila Pujol

Dan Jackson

Lena Kushleyeva

Mathilde Chen

Manasa Yerramalla

Tuomo Nieminen

John Muschelli

Patrick Bos

Taren Sanders

Medical Research Council UK 

Accelting 

French National Research Agency 

numUnpack function

<dl> <dt>pack</dt>
<dd>vector of integer</dd></dl>

Arguments

Simple function using Rcpp — numUnpack

<dl>

 <dt>pack</dt>
<dd>vector of integer</dd>

</dl>

Simple function using Rcpp

numUnpack: Simple function using Rcpp

Description

Usage

Arguments

Examples