int_all_datastructure_dataframe {dataquieR}R Documentation

Wrapper function to check for studies 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_dataframe(
  meta_data_dataframe = "dataframe_level",
  item_level = "item_level",
  meta_data = item_level,
  meta_data_v2,
  dataframe_level
)

Arguments

meta_data_dataframe

data.frame the data frame that contains the metadata for the data frame level

item_level

data.frame the data frame that contains metadata attributes of study data

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.

dataframe_level

data.frame alias for meta_data_dataframe

Value

a list with

Examples

## Not run: 
out_dataframe <- int_all_datastructure_dataframe(
  meta_data_dataframe = "meta_data_dataframe",
  meta_data = "ship_meta"
)
md0 <- prep_get_data_frame("ship_meta")
md0
md0$VAR_NAMES
md0$VAR_NAMES[[1]] <- "Id" # is this missmatch reported -- is the data frame
                           # also reported, if nothing is wrong with it
out_dataframe <- int_all_datastructure_dataframe(
  meta_data_dataframe = "meta_data_dataframe",
  meta_data = md0
)

# This is the "normal" procedure for inside pipeline
# but outside this function  checktype is exact by default
options(dataquieR.ELEMENT_MISSMATCH_CHECKTYPE = "subset_u")
lapply(setNames(nm = prep_get_data_frame("meta_data_dataframe")$DF_NAME),
  int_sts_element_dataframe, meta_data = md0)
md0$VAR_NAMES[[1]] <-
  "id" # is this missmatch reported -- is the data frame also reported,
       # if nothing is wrong with it
lapply(setNames(nm = prep_get_data_frame("meta_data_dataframe")$DF_NAME),
  int_sts_element_dataframe, meta_data = md0)
options(dataquieR.ELEMENT_MISSMATCH_CHECKTYPE = "exact")

## End(Not run)


[Package dataquieR version 2.5.1 Index]