The function grade_hyper produces %GRADE hyperglycemia values in a tibble object.
DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.
Upper bound used for hyperglycemia cutoff, in mg/dL. Default is 140.
A tibble object with 1 row for each subject, a column for subject id and a column for %GRADE hyperglycemia values is returned. NA glucose values are omitted from the calculation of the %GRADE hyperglycemia values.
%GRADE hyperglycemia is determined by calculating the percentage of GRADE score (see grade function) attributed to hyperglycemic glucose values.
If a data.frame object is passed, then a tibble object with two columns: subject id and corresponding %GRADE hyperglycemia value is returned. If a vector of glucose values is passed, then a tibble object with just the %GRADE hyperglycemia value is returned. as.numeric() can be wrapped around the latter to output just a numeric value.
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.
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