g.weardec {GGIR} | R Documentation |
Detects whether accelerometer is worn
Description
Uses the object produced by g.part1 to assess whether the accelerometer was worn
Usage
g.weardec(metalong, wearthreshold, ws2, params_cleaning = NULL,
desiredtz = "", qwindowImp = c())
Arguments
metalong |
Object produced by g.getmeta |
wearthreshold |
Number of axis that at least need to meet the non-wear criteria |
ws2 |
Large windowsize used in seconds to apply non-wear detection Small window size not needed, because this is inherent to the object M |
params_cleaning |
Parameters object with cleaning paramete, see GGIR. |
desiredtz |
See GGIR |
qwindowImp |
See g.impute |
Value
-
r1
Participant id extracted from file -
r2
Night number -
r3
Detected onset of sleep expressed as hours since the previous midnight -
LC
fraction of 15 minute windows with more than 5 percent clipping -
LC2
fraction of 15 minute windows with more than 80 percent clipping
Author(s)
Vincent T van Hees <v.vanhees@accelting.com>
Examples
data(data.getmeta)
params_cleaning = load_params()$params_cleaning
params_cleaning[["nonwearFilterWindow"]] = c(22, 7)
output = g.weardec(metalong = data.getmeta$metalong, wearthreshold = 2, ws2 = 900,
params_cleaning = params_cleaning,
desiredtz = "", qwindowImp = NULL)
[Package GGIR version 3.2-6 Index]