util_int_unexp_records_set_dataframe {dataquieR} | R Documentation |
Check for unexpected data record set
Description
This function tests that the identifiers match a provided record set. It is possible to check for unexpected data record sets by study segments or to consider only selected segments.
Usage
util_int_unexp_records_set_dataframe(
level = c("dataframe"),
id_vars_list,
identifier_name_list,
valid_id_table_list,
meta_data_record_check_list
)
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 the list containing the identifier variables names to be used in the assessment. |
identifier_name_list |
list the list that contains the name of the identifier to be used in the assessment. For the study level, corresponds to the names of the different data frames. For the segment level, indicates the name of the segments. |
valid_id_table_list |
list the reference list with the identifier variable values. |
meta_data_record_check_list |
character a character vector indicating the type of check to conduct, either "subset" or "exact". |
Value
a list with
-
SegmentData
: data frame with the results of the quality check for unexpected data elements -
SegmentTable
: data frame with selected unexpected data elements check results, used for the data quality report. -
UnexpectedRecords
: vector with row indices of duplicated records, if any, otherwise NULL.
See Also
Other integrity_indicator_functions:
util_int_duplicate_content_dataframe()
,
util_int_duplicate_content_segment()
,
util_int_duplicate_ids_dataframe()
,
util_int_duplicate_ids_segment()
,
util_int_unexp_records_set_segment()