util_int_duplicate_ids_dataframe: Check for duplicated IDs

In dataquieR: Data Quality in Epidemiological Research

Check for duplicated IDs

Description

This function tests for duplicates entries in identifiers. It is possible to check duplicated identifiers by study segments or to consider only selected segments.

Usage

util_int_duplicate_ids_dataframe(
  level = c("dataframe"),
  id_vars_list,
  identifier_name_list,
  repetitions,
  meta_data = NULL
)

Arguments

level	character a character vector indicating whether the assessment should be conducted at the study level (level = "dataframe") or at the segment level (level = "segment").
id_vars_list	list id variable names for each segment or data frame
identifier_name_list	vector the segments or data frame names being assessed
repetitions	vector an integer vector indicating the number of allowed repetitions in the id_vars. Currently, no repetitions are supported. # TODO
meta_data	data.frame the data frame that contains metadata attributes of the study data, mandatory.

Value

a list with

• DataframeData: data frame with the results of the quality check for duplicated identifiers

• DataframeTable: data frame with selected duplicated identifiers check results, used for the data quality report.

• Duplicates: vector with row indices of duplicated identifiers, if any, otherwise NULL.

See Also

Other integrity_indicator_functions: util_int_duplicate_content_dataframe(), util_int_duplicate_content_segment(), util_int_duplicate_ids_segment(), util_int_unexp_records_set_dataframe(), util_int_unexp_records_set_segment()

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