g.part5.classifyNaps {GGIR} | R Documentation |
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")
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. |
Value
Data.frame with classified naps and newly detected non-wear periods.
Author(s)
Vincent T van Hees <v.vanhees@accelting.com>
[Package GGIR version 3.2-6 Index]