util_map_labels: Support function to allocate labels to variables

In dataquieR: Data Quality in Epidemiological Research

Support function to allocate labels to variables

Description

Map variables to certain attributes, e.g. by default their labels.

Usage

util_map_labels(
  x,
  meta_data = "item_level",
  to = LABEL,
  from = VAR_NAMES,
  ifnotfound,
  warn_ambiguous = FALSE
)

Arguments

x	character variable names, character vector, see parameter from
meta_data	data.frame metadata data frame, if, as a dataquieR developer, you do not have item-level-metadata, you should use util_map_labels instead to avoid consistency checks on for item-level meta_data.
to	character variable attribute to map to
from	character variable identifier to map from
ifnotfound	list A list of values to be used if the item is not found: it will be coerced to a list if necessary.
warn_ambiguous	logical print a warning if mapping variables from from to to produces ambiguous identifiers.

Details

This function basically calls colnames(study_data) <- meta_data$LABEL, ensuring correct merging/joining of study data columns to the corresponding metadata rows, even if the orders differ. If a variable/study_data-column name is not found in meta_data[[from]] (default from = VAR_NAMES), either stop is called or, if ifnotfound has been assigned a value, that value is returned. See mget, which is internally used by this function.

The function not only maps to the LABEL column, but to can be any metadata variable attribute, so the function can also be used, to get, e.g. all HARD_LIMITS from the metadata.

Value

a character vector with:

• mapped values

See Also

Other mapping: util_map_all(), util_map_by_largest_prefix(), util_recode()

Examples

## Not run: 
meta_data <- prep_create_meta(
  VAR_NAMES = c("ID", "SEX", "AGE", "DOE"),
  LABEL = c("Pseudo-ID", "Gender", "Age", "Examination Date"),
  DATA_TYPE = c(DATA_TYPES$INTEGER, DATA_TYPES$INTEGER, DATA_TYPES$INTEGER,
                 DATA_TYPES$DATETIME),
  MISSING_LIST = ""
)
stopifnot(all(prep_map_labels(c("AGE", "DOE"), meta_data) == c("Age",
                                                 "Examination Date")))

## End(Not run)

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