The function grade_hypo produces %GRADE hypoglycemia values in a tibble object.
Arguments
- data
DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.
- lower
Lower bound used for hypoglycemia cutoff, in mg/dL. Default is 80
Value
If a data.frame object is passed, then a tibble object with two columns: subject id and corresponding %GRADE hypoglycemia value is returned. If a vector of glucose values is passed, then a tibble object with just the %GRADE hypoglycemia 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 %GRADE hypoglycemia values is returned. NA glucose values are omitted from the calculation of the %GRADE hypoglycemia values.
%GRADE hypoglycemia is determined by calculating the percentage of GRADE score (see grade function) attributed to hypoglycemic glucose values.
References
Hill et al. (2007): A method for assessing quality of control from glucose profiles Diabetic Medicine 24 .753-758, doi:10.1111/j.1464-5491.2007.02119.x .
Examples
data(example_data_1_subject)
grade_hypo(example_data_1_subject)
#> # A tibble: 1 × 2
#> id GRADE_hypo
#> <fct> <dbl>
#> 1 Subject 1 0.221
grade_hypo(example_data_1_subject, lower = 70)
#> # A tibble: 1 × 2
#> id GRADE_hypo
#> <fct> <dbl>
#> 1 Subject 1 0.118
data(example_data_5_subject)
grade_hypo(example_data_5_subject)
#> # A tibble: 5 × 2
#> id GRADE_hypo
#> <fct> <dbl>
#> 1 Subject 1 0.221
#> 2 Subject 2 0
#> 3 Subject 3 0.287
#> 4 Subject 4 0.702
#> 5 Subject 5 0.109
grade_hypo(example_data_5_subject, lower = 65)
#> # A tibble: 5 × 2
#> id GRADE_hypo
#> <fct> <dbl>
#> 1 Subject 1 0
#> 2 Subject 2 0
#> 3 Subject 3 0.191
#> 4 Subject 4 0.297
#> 5 Subject 5 0