g.intensitygradient {GGIR}R Documentation

Intensity gradient calculation

Description

Calculates the intensity gradient based on Rowlands et al. 2018. The function assumes that the user has already calculated the value distribution.

Usage

g.intensitygradient(x,y)

Arguments

x

Numeric vector of mid-points of the bins (mg)

y

Numeric vector of time spent in bins (minutes)

Value

y_intercept

y-intercept of a linear regression line in log-log space

gradient

Beta coefficient of a linear regression line in log-log space

rsquared

R squared of x and y values in log-log space

Author(s)

Vincent T van Hees <v.vanhees@accelting.com>

References

Rowlands A, Edwardson CL, et al. (2018) Beyond Cut Points: Accelerometer Metrics that Capture the Physical Activity Profile. MSSE 50(6):1. doi:10.1249/MSS.0000000000001561


[Package GGIR version 3.1-0 Index]