CalcEnSlideDist: Calculates Sliding Entropy for groups of interest in...

In hamsamilton/cgms.analysis: Functions for CGMS analysis

Description

Calculates Sliding Entropy for groups of interest in dataframes. Instead of returning a mean, return the value for all windows.

Usage

CalcEnSlideDist(
  entmeasure = "FastSampEn",
  df,
  varlist,
  r_thrsh = 0.2,
  size = 200,
  N = 200
)

Arguments

entmeasure	chosen entropy measure. Either FastSampEn or FastApEn. String
df	input cgms.df dataframe
varlist	Which groups to separate dataframe by
r_thrsh	what is the tolerance value r. This is multiplied by the sd of the whole ofint column.
size	the window size
ofint	variable of interest to calculate entropy on from the datagrame. String
step	step length

Value

dataframe with the entropy value for each group in varslist

Author(s)

Samuel Hamilton

Examples

CalcEnSlide(df = cgms.df,varlist = c("Group"))

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