g.intensitygradient: Intensity gradient calculation

In GGIR: Raw Accelerometer Data Analysis

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 <[e-mail]>

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

GGIR documentation built on Sept. 11, 2024, 8:59 p.m.