identify_complete_days: Identify complete wearing days This function identifies...

In walkboutr: Generate Walk Bouts from GPS and Accelerometry Data

Identify complete wearing days This function identifies complete days based on accelerometry data by calculating the total number of epochs worn per day and comparing it to the minimum number of wearing epochs per day required to consider a day complete.

Description

Identify complete wearing days This function identifies complete days based on accelerometry data by calculating the total number of epochs worn per day and comparing it to the minimum number of wearing epochs per day required to consider a day complete.

Usage

identify_complete_days(
  accelerometry_counts,
  min_wearing_hours_per_day,
  epoch_length,
  local_time_zone
)

Arguments

accelerometry_counts	A data frame containing accelerometry counts and non-wearing epochs.
min_wearing_hours_per_day	Minimum number of hours of wearing time required for a day to be considered complete.
epoch_length	The duration of an epoch in seconds.
local_time_zone	The local time zone of the data. The data come in and are returned in UTC, but the local time zone is used to compute complete_days.

Value

A data frame containing accelerometer counts, non-wearing epochs, and a binary variable indicating if the day is complete or not.

walkboutr documentation built on May 29, 2024, 2:58 a.m.