g.applymetrics {GGIR} | R Documentation |
Function to extract metrics from acceleration signal. Not intended for direct use by user
g.applymetrics(data, sf, ws3, metrics2do,
n = 4, lb = 0.2, hb = 15)
data |
Three column matrix with x, y, and z acceleration data |
n |
filter order, only needed if a metric is selected that involves a frequency filter |
sf |
sample frequency |
ws3 |
Epoch size in seconds |
metrics2do |
Dataframe with Boolean indicator for all metrics whether they should be extracted or not. For instance, metrics2do$do.bfen = TRUE, indicates that the bfen metric should be extracted |
lb |
Lower boundery of cut-off frequencies |
hb |
Higher boundery of cut-off frequencies |
Dataframe with metric values in columns average per epoch (ws3)
Vincent T van Hees <v.vanhees@accelting.com>
Gx = runif(n=10000,min=0,max=2)
Gy = runif(n=10000,min=1,max=3)
Gz = runif(n=10000,min=0,max=2)
data = cbind(Gx, Gy, Gz)
metrics2do = data.frame(do.bfen=TRUE,do.enmo=TRUE,do.lfenmo=FALSE,
do.en=FALSE,do.hfen=FALSE,do.hfenplus=FALSE,do.mad=FALSE,do.anglex=FALSE,
do.angley=FALSE,do.anglez=FALSE,do.roll_med_acc_x=FALSE,
do.roll_med_acc_y=FALSE,do.roll_med_acc_z=FALSE,
do.dev_roll_med_acc_x=FALSE,do.dev_roll_med_acc_y=FALSE,
do.dev_roll_med_acc_z=FALSE,do.enmoa=FALSE,
do.lfx=FALSE, do.lfy=FALSE, do.lfz=FALSE,
do.hfx=FALSE, do.hfy=FALSE, do.hfz=FALSE,
do.bfx=FALSE, do.bfy=FALSE, do.bfz=FALSE,
do.zcx=FALSE, do.zcy=FALSE, do.zcz=FALSE, do.brondcounts=FALSE)
extractedmetrics = g.applymetrics(data,n=4,sf=40,ws3=5,metrics2do)