soj_g: Soj-g function from Marcotte et al 2021

In robmarcotte/MOCAfunctions:

Soj-g function from Marcotte et al 2021

Description

Soj-g function from Marcotte et al 2021

Usage

soj_g(
  data = NA,
  export_format = "session",
  freq = 80,
  step1_sd_threshold = 0.00375,
  step2_nest_length = 5,
  step3_nest_length = 60,
  step3_orig_soj_length_min = 180
)

Arguments

data	A dataframe with raw wrist accelerometer data with column names Timestamp, AxisX, AxisY, AxisZ, VM
freq	Sampling frequency of raw accelerometer data. 80 Hz by default
step1_sd_threshold	Threshold used to classify likely inactive periods
step2_nest_length	Window length for classifying inactive vs active using random forest model
step3_nest_length	Window length for partitioning excessively long sojourns as determined by step3_orig_soj_length_min
step3_orig_soj_length_min	Maximum sojourn window duration allowed until partitioning into nested sojourns

robmarcotte/MOCAfunctions documentation built on March 23, 2024, 12:33 p.m.