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

Usage

int_sts_element_dataframe(
  item_level = "item_level",
  meta_data_dataframe = "dataframe_level",
  meta_data = item_level,
  meta_data_v2,
  check_type = getOption("dataquieR.ELEMENT_MISSMATCH_CHECKTYPE",
    dataquieR.ELEMENT_MISSMATCH_CHECKTYPE_default),
  dataframe_level
)

Arguments

item_level	data.frame the data frame that contains metadata attributes of study data
meta_data_dataframe	data.frame the data frame that contains the metadata for the data frame level
meta_data	data.frame old name for item_level
meta_data_v2	character path to workbook like metadata file, see prep_load_workbook_like_file for details. ALL LOADED DATAFRAMES WILL BE PURGED, using prep_purge_data_frame_cache, if you specify meta_data_v2.
check_type	enum none | exact | subset_u | subset_m. See dataquieR.ELEMENT_MISSMATCH_CHECKTYPE
dataframe_level	data.frame alias for meta_data_dataframe

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: - PCT_int_sts_element: Percentage of element mismatches - NUM_int_sts_element: Number of element mismatches - resp_vars: affected element names

Examples

## Not run: 
prep_load_workbook_like_file("~/tmp/df_level_test.xlsx")
meta_data_dataframe <- "dataframe_level"
meta_data <- "item_level"

## End(Not run)

dataquieR documentation built on Jan. 8, 2026, 5:08 p.m.