int_unexp_records_segment: 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.

Indicator

Usage

int_unexp_records_segment(
  study_segment,
  data_record_count,
  study_data,
  meta_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.

Arguments

study_segment: 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, mandatory.
study_data: data.frame the data frame that contains the measurements, mandatory.
meta_data: data.frame the data frame that contains metadata attributes of the study data, mandatory.

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

Examples

Run this code

if (FALSE) {
study_data <- readRDS(system.file("extdata", "ship.RDS", package = "dataquieR"))
meta_data <- readRDS(system.file("extdata", "ship_meta.RDS", package = "dataquieR"))

int_unexp_records_segment(
  study_segment = c("PART_STUDY", "PART_INTERVIEW"),
  data_record_count = c(3000, 1100),
  study_data = study_data,
  meta_data = meta_data
)
}