util_all_intro_vars_for_rv: Get all 'PART_VARS' for a response variable (from item-level...

In dataquieR: Data Quality in Epidemiological Research

Get all PART_VARS for a response variable (from item-level metadata)

Description

Get all PART_VARS for a response variable (from item-level metadata)

Usage

util_all_intro_vars_for_rv(
  rv,
  study_data,
  meta_data,
  label_col = LABEL,
  expected_observations = c("HIERARCHY", "ALL", "SEGMENT")
)

Arguments

rv	character the response variable's name
study_data	study_data
meta_data	meta_data
label_col	character the metadata attribute to map meta_data on study_data based on colnames(study_data)
expected_observations	enum HIERARCHY | ALL | SEGMENT. How should PART_VARS be handled: - ALL: Ignore, all observations are expected - SEGMENT: if PART_VAR is 1, an observation is expected - HIERARCHY: the default, if the PART_VAR is 1 for this variable and also for all PART_VARS of PART_VARS up in the hierarchy, an observation is expected.

Value

character all PART_VARS for rv from item level metadata. For expected_observations = HIERARCHY, the more general PART_VARS (i.e., up, in the hierarchy) are more left in the vector, e.g.: ⁠PART_STUDY, PART_PHYSICAL_EXAMINATIONS, PART_BLOODPRESSURE⁠

See Also

Other missing_functions: util_count_expected_observations(), util_filter_missing_list_table_for_rv(), util_get_code_list(), util_is_na_0_empty_or_false(), util_observation_expected(), util_remove_empty_rows(), util_replace_codes_by_NA()

dataquieR documentation built on May 29, 2024, 7:18 a.m.