identify_levels: Identifies levels of behaviour for g.part5 function.

In GGIR: Raw Accelerometer Data Analysis

Identifies levels of behaviour for g.part5 function.

Description

Identifies levels of behaviour from acceleratioon and sustained inactivity sibdetection (using angles). Function not intended for direct use by package user.

Usage

  identify_levels(ts, TRLi,TRMi,TRVi,
                  ws3, params_phyact, ...)

Arguments

ts	Data.frame with time series genrated in .gpart5
TRLi	Numeric acceleration threshold light
TRMi	Numeric acceleration threshold moderate
TRVi	Numeric acceleration threshold vigorous
ws3	Numeric size of epoch in seconds
params_phyact	See g.part2
...	Any argument used in the previous version of identify_level, which will now be used to overrule the arguments specified with the parameter objects.

Value

List with items:

• LEVELS

• OLEVELS

• Lnames

• bc.mvpa

• bc.lig

• bc.in

• ts

Author(s)

Vincent T van Hees <[e-mail]>

Examples

  ## Not run: 
    levels = identify_levels(TRLi,TRMi,TRVi,
                               boutdur.mvpa,boutcriter.mvpa,
                               boutdur.lig,boutcriter.lig,
                               boutdur.in,boutcriter.in,
                               ws3,bout.metric)
  
## End(Not run)

GGIR documentation built on Oct. 17, 2023, 1:12 a.m.