CONGA.fn {CGManalyzer}

Function to calculate the continuous overlapping net glycemic action (CONGA)

Description

For each observation after the first n hours of observations, the difference between the current observation and the observation n hours previous was calculated. CONGA is defined as the standard deviation of the differences.

Usage

CONGA.fn(y, Interval = 5, n = 2)

Arguments

y

measured response, must be evenly spaced in measured time

Interval

number of minutes between two consecutive time points

n

the length of a segment in CONGA

Value

a value of CONGA

Author(s)

Xiaohua Douglas Zhang, Dandan Wang

References

Zhang XD, Zhang Z, Wang D. 2018. CGManalyzer: an R package for analyzing continuous glucose monitoring studies. Bioinformatics 34(9): 1609-1611 (DOI: 10.1093/bioinformatics/btx826).

Examples

library(CGManalyzer)
package.name <- "CGManalyzer"
source( system.file("SPEC", "SPECexample.R", package = package.name) )
y = rnorm( 3*24*60/5, mean=5, sd=0.1)
CONGA.fn(y, Interval = 5, n=2)