R6 Class wrapper to create your own metacore object

Usage

metacore(
  ds_spec = tibble(dataset = character(), structure = character(), label = character()),
  ds_vars = tibble(dataset = character(), variable = character(), mandatory = logical(),
    key_seq = integer(), order = integer(), core = character(), supp_flag = logical()),
  var_spec = tibble(variable = character(), label = character(), length = integer(), type
    = character(), common = character(), format = character()),
  value_spec = tibble(dataset = character(), variable = character(), where = character(),
    type = character(), sig_dig = integer(), code_id = character(), origin = character(),
    derivation_id = integer()),
  derivations = tibble(derivation_id = integer(), derivation = character()),
  codelist = tibble(code_id = character(), name = character(), type = character(), codes
    = list()),
  supp = tibble(dataset = character(), variable = character(), idvar = character(), qeval
    = character()),
  quiet = FALSE
)

Arguments

ds_spec: contains each dataset in the study, with the labels for each
ds_vars: information on what variables are in each dataset + plus dataset specific variable information
var_spec: variable information that is shared across all datasets
value_spec: parameter specific information, as data is long the specs for wbc might be difference the hgb
derivations: contains derivation, it allows for different variables to have the same derivation
codelist: contains the code/decode information
supp: contains the idvar and qeval information for supplemental variables
quiet: Option to quietly load in, this will suppress warnings, but not errors. Expects either TRUE or FALSE. Default behaviour is FALSE.