HASPT: Heuristic Algorithms estimating SPT window.
In GGIR: Raw Accelerometer Data Analysis

HASPT

R Documentation

Heuristic Algorithms estimating SPT window.

Description

As used in function g.sib.det. Function is not intended for direct use by GGIR user.

Usage

HASPT(angle, perc = 10, spt_threshold = 15, sptblocksize = 30, 
      spt_max_gap = 60, ws3 = 5, constrain2range = FALSE,
      HASPT.algo="HDCZA", invalid, HASPT.ignore.invalid=FALSE, activity)

Arguments

`angle`	Vector of epoch level estimates of angle
`perc`	Number to indicate percentage threshold (default 10 corresponds to 2018 paper)
`spt_threshold`	Numeric threshold used in HASPT algorithm (default 15 corresponds to 2018 paper)
`sptblocksize`	Number to indicate minimum SPT block size (minutes)
`spt_max_gap`	Number to indicate maximum gap (minutes) in SPT window blocks.
`ws3`	Number representing epoch length in seconds
`constrain2range`	Bolean to indicate whether threshold should be constrained to a range
`HASPT.algo`	Character to indicate what algortihm should be used. Default "HDCZA" is Heuristic algorithm looking at Distribution of Change in Z-Angle as described in van Hees et al. 2018. Other options included: "HorAngle", which is based on HDCZA but replaces non-movement detection of the HDCZA algorithm by looking for time segments where the angle of the longitudinal sensor axis has an angle relative to the horizontal plane between -45 and +45 degrees.
`invalid`	Integer vector with per epoch an indicator of valid(=0) or invalid(=1) epoch.
`HASPT.ignore.invalid`	Boolean to indicate whether invalid time segments should be ignored
`activity`	Magnitude of acceleration, only used when HASPT.algo is set to NotWorn. Acceleration metric used is specified by argument `acc.metric` elsewhere in GGIR.