int_all_datastructure_segment: Wrapper function to check for segment data structure

In dataquieR: Data Quality in Epidemiological Research

Wrapper function to check for segment data structure

Description

This function tests for unexpected elements and records, as well as duplicated identifiers and content. The unexpected element record check can be conducted by providing the number of expected records or an additional table with the expected records. It is possible to conduct the checks by study segments or to consider only selected segments.

Indicator

Usage

int_all_datastructure_segment(
  meta_data_segment = "segment_level",
  study_data,
  meta_data = "item_level"
)

Arguments

meta_data_segment	data.frame the data frame that contains the metadata for the segment level, 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.

Value

a list with

• SegmentTable: data frame with selected check results, used for the data quality report.

Examples

## Not run: 
out_segment <- int_all_datastructure_segment(
  meta_data_segment = "meta_data_segment",
  study_data = "ship",
  meta_data = "ship_meta"
)

study_data <- cars
meta_data <- dataquieR::prep_create_meta(VAR_NAMES = c("speedx", "distx"),
  DATA_TYPE = c("integer", "integer"), MISSING_LIST = "|", JUMP_LIST = "|",
  STUDY_SEGMENT = c("Intro", "Ex"))

out_segment <- int_all_datastructure_segment(
  meta_data_segment = "meta_data_segment",
  study_data = study_data,
  meta_data = meta_data
)

## End(Not run)

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