int_unexp_records_dataframe: Check for unexpected data record count at the data frame...

In dataquieR: Data Quality in Epidemiological Research

Check for unexpected data record count at the data frame level

Description

This function contrasts the expected record number in each study in the metadata with the actual record number in each study data frame.

Indicator

Usage

int_unexp_records_dataframe(
  identifier_name_list,
  data_record_count,
  meta_data_dataframe = "dataframe_level",
  meta_data_v2,
  dataframe_level
)

Arguments

identifier_name_list	character a character vector indicating the name of each study data frame, mandatory.
data_record_count	integer an integer vector with the number of expected data records per study data frame, mandatory.
meta_data_dataframe	data.frame the data frame that contains the metadata for the data frame level
meta_data_v2	character path to workbook like metadata file, see prep_load_workbook_like_file for details. ALL LOADED DATAFRAMES WILL BE PURGED, using prep_purge_data_frame_cache, if you specify meta_data_v2.
dataframe_level	data.frame alias for meta_data_dataframe

Value

a list with

• DataframeData: data frame with the results of the quality check for unexpected data elements

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

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