metacore: R6 Class wrapper to create your own metacore object

In atorus-research/metacore: A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows

R6 Class wrapper to create your own metacore object

Description

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(), keep = 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())
)

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

atorus-research/metacore documentation built on May 7, 2024, 6:38 a.m.