This function evaluates diabetes status based on three factors: diab_m, CCC_51, and diab_drug2.
Arguments
- diab_m
An integer indicating whether the respondent has diabetes based on HbA1c level. 1 for "Yes", 2 for "No".
- CCC_51
An integer indicating whether the respondent self-reported diabetes. 1 for "Yes", 2 for "No".
- diab_drug2
An integer indicating whether the respondent is on diabetes medication. 1 for "Yes", 0 for "No".
Value
An integer indicating the inclusive diabetes status:
- 1 ("Yes") if any of diab_m, CCC_51, or diab_drug2 is 1.
- 2 ("No") if all of diab_m, CCC_51, and diab_drug2 are 2.
- haven::tagged_na("b") if all three parameters are NA.
- If two parameters are NA, the third non-NA parameter determines the result.
- If one parameter is NA, the function checks the remaining two for a decision.
Examples
# Example: Determine the inclusive diabetes status for a respondent with diabetes based on HbA1c.
determine_inclusive_diabetes(diab_m = 1, CCC_51 = 2, diab_drug2 = 2)
#> [1] 1
# Output: 1 (Inclusive diabetes status is "Yes").
# Example: Determine the inclusive diabetes status for a respondent no diabetes all around.
determine_inclusive_diabetes(diab_m = 2, CCC_51 = 2, diab_drug2 = 2)
#> [1] NA
# Output: 2 (Inclusive diabetes status is "No").
# Example: Determine inclusive diabetes status when only one parameter is NA.
determine_inclusive_diabetes(diab_m = 2, CCC_51 = NA, diab_drug2 = 1)
#> [1] 1
# Output: 1 (Based on `diab_drug2`, inclusive diabetes status is "Yes").