dataquieR (version 2.1.0)

int_all_datastructure_segment: 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"
)

Value

a list with

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

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.

Examples

if (FALSE) {
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
)
}