compute_peak_step_acc

Compute mean step accumulation (per min) from a given number of the best continous
or discontinuous minutes

A tool to analyse 'ActiGraph' accelerometer data and to implement
the use of the PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. Once analysis
is completed, the app allows to export results to .csv files and to generate
a report of the measurement. All the configured inputs relevant for interpreting
the results are recorded in the report. In addition to the existing 'R' packages
that are fully integrated with the app, the app uses some functions from the
'actigraph.sleepr' package developed by Petkova (2021) <https://github.com/dipetkov/actigraph.sleepr/>.

Pierre-Yves de Müllenheim

activAnalyzer

A 'Shiny' App to Analyze Accelerometer-Measured Daily Physical
Behavior Data

compute_peak_step_acc function

<dl><dt>x</dt>
<dd>A vector of steps data, each value corresponding to a total of steps
in a minute.</dd>
<dt>n</dt>
<dd>An integer value setting the number of minutes to be used to compute
the metric.</dd></dl>

Arguments

Compute mean step accumulation (per min) from a given number of the best continous
or discontinuous minutes — compute_peak_step_acc

<dl>

<dt>x</dt>
<dd>A vector of steps data, each value corresponding to a total of steps
in a minute.</dd>


<dt>n</dt>
<dd>An integer value setting the number of minutes to be used to compute
the metric.</dd>

</dl>

compute_peak_step_acc: Compute mean step accumulation (per min) from a given number of the best continous or discontinuous minutes

Description

Usage

Value

Arguments