int_sts_element_dataframe: Determine missing and/or superfluous data elements

In dataquieR: Data Quality in Epidemiological Research

Determine missing and/or superfluous data elements

Description

Depends on dataquieR.ELEMENT_MISSMATCH_CHECKTYPE option, see there – # TODO: Rind out, how to document and link it here using Roxygen.

Usage

int_sts_element_dataframe(study_data, meta_data = "item_level")

Arguments

study_data	data.frame the data frame that contains the measurements
meta_data	data.frame the data frame that contains metadata attributes of study data

Details

Indicator

Value

list with names lots:

• DataframeData: data frame with the unexpected elements check results.

• DataframeTable: data.frame table with all errors, used for the data quality report: - MISSING: meta_data or study_data: where is the element missing - PCT_int_sts_element: Percentage of element mismatches - NUM_int_sts_element: Number of element mismatches - resp_vars: affected element names

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