Add variables to the merged dataset.

add_single_variable(
  data,
  funs_mutate = function(x) x,
  name,
  unit,
  type,
  description,
  force_dict_update = FALSE
)

add_age(data)

add_dysglycemia(data, force_dict_update = FALSE)

add_outcomes_ir(data, force_dict_update = FALSE)

add_outcomes_bcf(data, force_dict_update = FALSE)

add_outcomes_ic(data, force_dict_update = FALSE)

add_total_fa(data, force_dict_update = FALSE)

add_metabolic_syndrome(data)

add_ethnicity(data)

add_bmi(data)

add_map(data)

Arguments

data: The prefinal dataset.
funs_mutate: The (generally) mutate function to add a variable.
name: Name of the new variable. For the dictionary entry.
unit: The unit of the new variable. For the dictionary entry.
type: The value type (eg. Numeric) of the variable. For the dictionary entry.
description: A brief description of the new variable. For the dictionary entry.
force_dict_update: Force the dictionary entry to be updated.

Functions

add_single_variable(): General function; add a single variable to the prefinal dataset, including an entry into the dictionary.
add_age(): Calculate the age of the participants
add_dysglycemia(): Add IFG, IGT, DM, and dysglycemia variables to the dataset.
add_outcomes_ir(): Add insulin resistance/sensitivity variables (HOMA, ISI) to the dataset.
add_outcomes_bcf(): Add beta-cell function variables (ISSI-2 and IGI/IR) to the dataset.
add_outcomes_ic(): Add insulin clearance and C-peptide AUC variables to the dataset.
add_total_fa(): Add total fatty acid concentrations from either normal or trans measurements to the dataset.
add_metabolic_syndrome(): Add the metabolic syndrome (binary and components) to the dataset. (incomplete)
add_ethnicity(): Combine parent ethnicity to determine participant ethnicity. When parents ethnicities did not match, the participant was classified as 'Other'.
add_bmi(): Add BMI to the prefinal dataset.
add_map(): Add mean arterial pressure to the prefinal dataset.