cv_glu: Calculate Coefficient of Variation (CV) of glucose levels

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

Calculate Coefficient of Variation (CV) of glucose levels

Description

The function cv_glu produces CV values in a tibble object.

Usage

cv_glu(data)

Arguments

data	DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.

Details

A tibble object with 1 row for each subject, a column for subject id and a column for CV values is returned. NA glucose values are omitted from the calculation of the CV.

CV (Coefficient of Variation) is calculated by 100 * sd(G) / mean(G) Where G is the list of all Glucose measurements for a subject.

Value

If a data.frame object is passed, then a tibble object with two columns: subject id and corresponding CV value is returned. If a vector of glucose values is passed, then a tibble object with just the CV value is returned. as.numeric() can be wrapped around the latter to output just a numeric value.

References

Rodbard (2009) Interpretation of continuous glucose monitoring data: glycemic variability and quality of glycemic control, Diabetes Technology and Therapeutics 11 .55-67, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1089/dia.2008.0132")}.

Examples

data(example_data_1_subject)
cv_glu(example_data_1_subject)

data(example_data_5_subject)
cv_glu(example_data_5_subject)

irinagain/iglu documentation built on April 15, 2024, 4:20 p.m.