make_smallest_bout_without_metadata

<p>This function creates the smallest bout window without the metadata columns. It calls the <code>make_smallest_bout</code> function and then removes the columns "non_wearing", "complete_day", and "bout" using <code><a href="https://dplyr.tidyverse.org/reference/select.html">dplyr::select</a></code>.</p>

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_smallest_bout_without_metadata function

<p>This function creates the smallest bout window without the metadata columns. It calls the <code>make_smallest_bout</code> function and then removes the columns "non_wearing", "complete_day", and "bout" using <code><a href='https://dplyr.tidyverse.org/reference/select.html'>dplyr::select</a></code>.</p>

make_smallest_bout_without_metadata: Create the smallest bout window without metadata

Description

Usage

Arguments

Value

Examples