int_unexp_records_set: Check for unexpected data record set

In dataquieR: Data Quality in Epidemiological Research

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.

Indicator

Usage

int_unexp_records_set(level = c("dataframe", "segment"), ...)

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").
...	Depending on level, passed to either util_int_unexp_records_set_segment or util_int_unexp_records_set_dataframe

Value

a list. Depending on level, see util_int_unexp_records_set_segment or util_int_unexp_records_set_dataframe for a description of the outputs.

Examples

## Not run: 
study_data <- readRDS(system.file("extdata", "ship.RDS",
  package = "dataquieR"
))
meta_data <- readRDS(system.file("extdata", "ship_meta.RDS",
  package = "dataquieR"
))
md1_segment <- readRDS(system.file("extdata", "meta_data_segment.RDS",
  package = "dataquieR"
))
ids_segment <- readRDS(system.file("extdata", "meta_data_ids_segment.RDS",
  package = "dataquieR"
))

# TODO: update examples
int_unexp_records_set(
  level = "segment",
  identifier_name_list = c("INTERVIEW", "LABORATORY"),
  valid_id_table_list = ids_segment,
  meta_data_record_check = md1_segment[,
    c("STUDY_SEGMENT", "SEGMENT_RECORD_CHECK")],
  study_data = study_data,
  meta_data = meta_data,
  meta_data_level = md1_segment
)

## End(Not run)

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