The function grade_hypo produces %GRADE hypoglycemia values in a tibble object.
grade_hypo(data, lower = 80)
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.
DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.
Lower bound used for hypoglycemia cutoff, in mg/dL. Default is 80
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.
Hill et al. (2007): A method for assessing quality of control from glucose profiles Diabetic Medicine 24 .753-758, tools:::Rd_expr_doi("10.1111/j.1464-5491.2007.02119.x").
data(example_data_1_subject)
grade_hypo(example_data_1_subject)
grade_hypo(example_data_1_subject, lower = 70)
data(example_data_5_subject)
grade_hypo(example_data_5_subject)
grade_hypo(example_data_5_subject, lower = 65)
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