dataquieR (version 2.1.0)

util_all_intro_vars_for_rv: 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")
)

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

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.

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()