util_eval_rule: Evaluate a parsed redcap rule for given study data

In dataquieR: Data Quality in Epidemiological Research

Evaluate a parsed redcap rule for given study data

Description

also allows to use VAR_NAMES in the rules, if other labels have been selected

Usage

util_eval_rule(
  rule,
  ds1,
  meta_data = "item_level",
  use_value_labels,
  replace_missing_by = "NA",
  replace_limits = TRUE
)

Arguments

rule	the redcap rule (parsed, already)
ds1	the study data as prepared by prep_prepare_dataframes
meta_data	the metadata
use_value_labels	map columns with VALUE_LABELS as factor variables
replace_missing_by	enum LABEL | INTERPRET | NA . Missing codes should be replaced by the missing labels, the AAPOR codes from the missing table or by NA. Can also be an empty string to keep the codes.
replace_limits	logical replace hard limit violations by NA

Value

the result of the parsed rule

See Also

Other redcap: util_get_redcap_rule_env()

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