make_smallest_bout_with_smallest_non_wearing_period

<p>This function creates a dataset consisting of the smallest bout and the smallest non-wearing period. The bout length, non-wearing period length, and epoch length are defined in the global variables: minimum_bout_length, maximum_number_consec_inactive_epochs_in_bout, and min_non_wearing_length, respectively.</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

make_smallest_bout_with_smallest_non_wearing_period: Generate the smallest bout with the smallest non-wearing period dataset

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