int_sts_element_dataframe {dataquieR}R Documentation

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:

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)

[Package dataquieR version 2.5.1 Index]