The function gmi produces GMI values in a tibble object.
Arguments
- data
DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.
Value
If a data.frame object is passed, then a tibble object with two columns: subject id and corresponding GMI is returned. If a vector of glucose values is passed, then a tibble object with just the GMI value is returned. as.numeric() can be wrapped around the latter to output just a numeric value.
Details
A tibble object with 1 row for each subject, a column for subject id and a column for GMI values is returned. NA glucose values are omitted from the calculation of the GMI.
GMI score is calculated by \(3.31 + (.02392*mean(G))\) where G is the vector of Glucose Measurements (mg/dL).
References
Bergenstal (2018) Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring Hormone and Metabolic Research 41 .2275-2280, doi:10.2337/dc18-1581 .
Examples
data(example_data_1_subject)
gmi(example_data_1_subject)
#> # A tibble: 1 × 2
#> id GMI
#> <fct> <dbl>
#> 1 Subject 1 6.27
data(example_data_5_subject)
gmi(example_data_5_subject)
#> # A tibble: 5 × 2
#> id GMI
#> <fct> <dbl>
#> 1 Subject 1 6.27
#> 2 Subject 2 8.54
#> 3 Subject 3 6.99
#> 4 Subject 4 6.41
#> 5 Subject 5 7.49