conga: Continuous Overall Net Glycemic Action (CONGA)

In stevebroll/iglu: Interpreting Glucose Data from Continuous Glucose Monitors

Description

The function conga produces CONGA values a tibble object for any n hours apart.

Usage

conga(data, n = 24, tz = "")

Arguments

data	DataFrame object with column names "id", "time", and "gl".
n	An integer specifying how many hours prior to an observation should be used in the CONGA calculation. The default value is set to n = 24 hours
tz	A character string specifying the time zone to be used. System-specific (see as.POSIXct), but " " is the current time zone, and "GMT" is UTC (Universal Time, Coordinated). Invalid values are most commonly treated as UTC, on some platforms with a warning.

Details

A tibble object with 1 row for each subject, a column for subject id and a column for the CONGA values is returned.

Missing values will be linearly interpolated when close enough to non-missing values.

CONGA is the standard deviation of the difference between glucose values that are exactly n hours apart. CONGA is computed by taking the standard deviation of differences in measurements separated by n hours.

Value

A tibble object with two columns: subject id and corresponding CONGA value.

References

McDonnell et al. (2005) : A novel approach to continuous glucose analysis utilizing glycemic variation Diabetes Technology and Therapeutics 7 .253-263, doi: 10.1089/dia.2005.7.253.

Examples

data(example_data_1_subject)
conga(example_data_1_subject)

data(example_data_5_subject)
conga(example_data_5_subject)

stevebroll/iglu documentation built on Jan. 30, 2021, 1:53 a.m.