m_value: Calculate the M-value

In iglu: Interpreting Glucose Data from Continuous Glucose Monitors

Calculate the M-value

Description

Calculates the M-value of Schlichtkrull et al. (1965) for each subject in the data, where the M-value is the mean of the logarithmic transformation of the deviation from a reference value. Produces a tibble object with subject id and M-values.

Usage

m_value(data, r = 90)

Arguments

data	DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.
r	A reference value corresponding to basal glycemia in normal subjects; default is 90 mg/dL.

Details

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

M-value is computed by averaging the transformed glucose values, where each transformed value is equal to |10 * log_10(glucose/r)|^3, where r is the specified reference value.

Value

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

References

Schlichtkrull J, Munck O, Jersild M. (1965) The M-value, an index of blood-sugar control in diabetics. Acta Medica Scandinavica 177 .95-102. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.0954-6820.1965.tb01810.x")}.

Examples

data(example_data_5_subject)

m_value(example_data_5_subject)
m_value(example_data_5_subject, r = 100)

iglu documentation built on Oct. 20, 2023, 5:07 p.m.