value-slash-missing-lists: Data frame with labels for missing- and jump-codes #'...

In dataquieR: Data Quality in Epidemiological Research

Data frame with labels for missing- and jump-codes #' Metadata about value and missing codes

Description

data.frame with the following columns:

• CODE_VALUE: numeric | DATETIME Missing or categorical code (the number or date representing a missing/category)

• CODE_LABEL: character a label for the missing code or category

• CODE_CLASS: enum JUMP | MISSING. For missing lists: Class of the missing code.

• CODE_INTERPRET enum I | P | PL | R | BO | NC | O | UH | UO | NE. For missing lists: Class of the missing code according to AAPOR.

• resp_vars: character For missing lists: optional, if a missing code is specific for some variables, it is listed for each such variable with one entry in resp_vars, If NA, the code is assumed shared among all variables. For v1.0 metadata, you need to refer to VAR_NAMES here.

See Also

Online

com_item_missingness()

com_segment_missingness()

com_qualified_item_missingness()

com_qualified_segment_missingness()

con_inadmissible_categorical()

con_inadmissible_vocabulary()

MISSING_LIST_TABLE

VALUE_LABEL_TABLE

STANDARDIZED_VOCABULARY_TABLE

cause_label_df

dataquieR documentation built on Jan. 8, 2026, 5:08 p.m.