GGIR (version 2.7-1)

g.applymetrics: Extract metrics from acceleration signals

Description

Function to extract metrics from acceleration signal. Not intended for direct use by user

Usage

g.applymetrics(data, sf, ws3, metrics2do,
                          n = 4, lb = 0.2, hb = 15)

Value

Dataframe with metric values in columns average per epoch (ws3)

Arguments

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

Author

Vincent T van Hees <[e-mail]>

Examples

  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)