int_unexp_records_segment {dataquieR} | R Documentation |
Check for unexpected data record count within segments
Description
This function contrasts the expected record number in each study segment in the metadata with the actual record number in each segment data frame.
Usage
int_unexp_records_segment(
study_segment,
study_data,
label_col,
item_level = "item_level",
data_record_count,
meta_data = item_level,
meta_data_segment = "segment_level",
meta_data_v2,
segment_level
)
Arguments
study_segment |
character a character vector indicating the name of each study data frame, mandatory. |
study_data |
data.frame the data frame that contains the measurements |
label_col |
variable attribute the name of the column in the metadata with labels of variables |
item_level |
data.frame the data frame that contains metadata attributes of study data |
data_record_count |
integer an integer vector with the number of expected data records, mandatory. |
meta_data |
data.frame old name for |
meta_data_segment |
data.frame – optional: Segment level metadata |
meta_data_v2 |
character path to workbook like metadata file, see
|
segment_level |
data.frame alias for |
Details
The current implementation does not take into account jump or missing codes, the function is rather based on checking whether NAs are present in the study data
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.