g.weardec {GGIR} | R Documentation |
Uses the object produced by g.part1 to assess whether the accelerometer was worn
g.weardec(M,wearthreshold,ws2)
M |
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 |
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
Vincent T van Hees <v.vanhees@accelting.com>
data(data.getmeta)
output = g.weardec(M=data.getmeta,wearthreshold=2,ws2=3600)