GGIR (version 3.2-0)

g.part5.classifyNaps: Classify Naps from identified sustained inactivty bouts

Description

Classify Naps from identified sustained inactivty bouts, based on model that was originally trained with hip-worn accelerometer data in 3-3.5 year olds. Assume that metric ENMO is used and HASIB.algo is set to vanHees2015.

Usage

g.part5.classifyNaps(sibreport = c(), desiredtz = "", 
        possible_nap_window = c(9, 18),
        possible_nap_dur = c(15, 240),
        nap_model = "hip3yr", HASIB.algo = "vanHees2015")

Value

Data.frame with classified naps and newly detected non-wear periods.

Arguments

sibreport

Object generated by g.sibreport

desiredtz

See g.getmeta.

possible_nap_window

Numeric vector of length two with range in clock hours during which naps are assumed to take place.

possible_nap_dur

Numeric vector of length two with range in duration (minutes) of a nap.

nap_model

Character to specify classification model. Currently the only option is "hip3yr", which corresponds to a model trained with hip data in 3-3.5 olds trained with parent diary data.

HASIB.algo

See g.part3.

Author

Vincent T van Hees <[e-mail]>