identify_non_wearing_periods: Identify non-wearing periods: This function identifies...
In walkboutr: Generate Walk Bouts from GPS and Accelerometry Data

View source: R/process_accelerometry_counts_into_bouts.R

identify_non_wearing_periods

R Documentation

Identify non-wearing periods: This function identifies non-wearing periods in accelerometry data based on a threshold of consecutive epochs with activity counts of 0.

Description

Identify non-wearing periods: This function identifies non-wearing periods in accelerometry data based on a threshold of consecutive epochs with activity counts of 0.

Usage

identify_non_wearing_periods(
  accelerometry_counts,
  non_wearing_min_threshold_epochs
)

Arguments

`accelerometry_counts`	a data frame containing columns for time (in POSIXct format) and activity_counts
`non_wearing_min_threshold_epochs`	an integer value indicating the minimum number of consecutive epochs with 0 activity counts that constitute a non-wearing period

Details

Identify periods where the accelerometer is not being worn based on the activity counts and a minimum threshold value.

Value

a data frame with the same columns as the input data frame accelerometry_counts, but with a new column named non_wearing that indicates whether the individual was wearing their accelerometer during a given period.

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