calc_En_slidingwindow: Calculates entropy using a sliding window approach. Takes the...

In hamsamilton/cgms.analysis: Functions for CGMS analysis

Description

Calculates entropy using a sliding window approach. Takes the entropy of a smaller time windows then averages them. This is to eliminate any bias that may result from time-series length.

Usage

calc_En_slidingwindow(entmeasure = "FastSampEn", ofint, size, step, r_thresh)

Arguments

entmeasure	chosen entropy measure. Either FastSampEn or FastApEn
ofint	A numeric vector representing the value of interest
size	size of the sliding window. Numeric
step	step size for the window, how "Fast" it slides. Numeric
r_thresh	what is the tolerance r to be used. Numeric

Value

dataframe with the entropy value for each group in varslist

Author(s)

Samuel Hamilton

Examples

plotruns(cgms.df)

hamsamilton/cgms.analysis documentation built on March 29, 2020, 12:57 a.m.