make_active_period

This function generates a list of activity epochs with specified minimum active counts per epoch, minimum bout length,
maximum number of consecutive inactive epochs in a bout, minimum non-wearing length, and minimum complete day length.

Process GPS and accelerometry data to generate walk bouts. A walk bout is a period of activity with accelerometer movement matching the patterns of walking with corresponding GPS measurements that confirm travel. The inputs of the 'walkboutr' package are individual-level accelerometry and GPS data. The outputs of the model are walk bouts with corresponding times, duration, and summary statistics on the sample population, which collapse all personally identifying information. These bouts can be used to measure walking both as an outcome of a change to the built environment or as a predictor of health outcomes such as a cardioprotective behavior. Kang B, Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.

Lauren Blair Wilner

walkboutr

Generate Walk Bouts from GPS and Accelerometry Data

Stephen J Mooney

make_active_period function

<dl><dt>length</dt>
<dd>Length of the active period</dd>
<dt>is_bout</dt>
<dd>Logical indicating if the active period is a bout</dd>
<dt>non_wearing</dt>
<dd>Logical indicating if the active period is a non-wearing period</dd>
<dt>complete_day</dt>
<dd>Logical indicating if the active period is a complete day</dd></dl>

Arguments

Generate accelerometry datasets — make_active_period

<dl>

<dt>length</dt>
<dd>Length of the active period</dd>


<dt>is_bout</dt>
<dd>Logical indicating if the active period is a bout</dd>


<dt>non_wearing</dt>
<dd>Logical indicating if the active period is a non-wearing period</dd>


<dt>complete_day</dt>
<dd>Logical indicating if the active period is a complete day</dd>

</dl>

make_active_period: Generate accelerometry datasets

Description

Usage

Value

Arguments