prep_check_meta_names: Checks the validity of metadata w.r.t. the provided column...

In dataquieR: Data Quality in Epidemiological Research

Checks the validity of metadata w.r.t. the provided column names

Description

This function verifies, if a data frame complies to metadata conventions and provides a given richness of meta information as specified by level.

Usage

prep_check_meta_names(meta_data = "item_level", level, character.only = FALSE)

Arguments

meta_data	data.frame the data frame that contains metadata attributes of study data
level	enum level of requirement (see also VARATT_REQUIRE_LEVELS). set to NULL to deactivate the check of richness.
character.only	logical a logical indicating whether level can be assumed to be character strings.

Details

Note, that only the given level is checked despite, levels are somehow hierarchical.

Value

a logical with:

• invisible(TRUE). In case of problems with the metadata, a condition is raised (stop()).

Examples

## Not run: 
prep_check_meta_names(data.frame(VAR_NAMES = 1, DATA_TYPE = 2,
                      MISSING_LIST = 3))

prep_check_meta_names(
  data.frame(
    VAR_NAMES = 1, DATA_TYPE = 2, MISSING_LIST = 3,
    LABEL = "LABEL", VALUE_LABELS = "VALUE_LABELS",
    JUMP_LIST = "JUMP_LIST", HARD_LIMITS = "HARD_LIMITS",
    GROUP_VAR_OBSERVER = "GROUP_VAR_OBSERVER",
    GROUP_VAR_DEVICE = "GROUP_VAR_DEVICE",
    TIME_VAR = "TIME_VAR",
    PART_VAR = "PART_VAR",
    STUDY_SEGMENT = "STUDY_SEGMENT",
    LOCATION_RANGE = "LOCATION_RANGE",
    LOCATION_METRIC = "LOCATION_METRIC",
    PROPORTION_RANGE = "PROPORTION_RANGE",
    MISSING_LIST_TABLE = "MISSING_LIST_TABLE",
    CO_VARS = "CO_VARS",
    LONG_LABEL = "LONG_LABEL"
  ),
  RECOMMENDED
)

prep_check_meta_names(
  data.frame(
    VAR_NAMES = 1, DATA_TYPE = 2, MISSING_LIST = 3,
    LABEL = "LABEL", VALUE_LABELS = "VALUE_LABELS",
    JUMP_LIST = "JUMP_LIST", HARD_LIMITS = "HARD_LIMITS",
    GROUP_VAR_OBSERVER = "GROUP_VAR_OBSERVER",
    GROUP_VAR_DEVICE = "GROUP_VAR_DEVICE",
    TIME_VAR = "TIME_VAR",
    PART_VAR = "PART_VAR",
    STUDY_SEGMENT = "STUDY_SEGMENT",
    LOCATION_RANGE = "LOCATION_RANGE",
    LOCATION_METRIC = "LOCATION_METRIC",
    PROPORTION_RANGE = "PROPORTION_RANGE",
    DETECTION_LIMITS = "DETECTION_LIMITS", SOFT_LIMITS = "SOFT_LIMITS",
    CONTRADICTIONS = "CONTRADICTIONS", DISTRIBUTION = "DISTRIBUTION",
    DECIMALS = "DECIMALS", VARIABLE_ROLE = "VARIABLE_ROLE",
    DATA_ENTRY_TYPE = "DATA_ENTRY_TYPE",
    CO_VARS = "CO_VARS",
    END_DIGIT_CHECK = "END_DIGIT_CHECK",
    VARIABLE_ORDER = "VARIABLE_ORDER", LONG_LABEL =
      "LONG_LABEL", recode = "recode",
      MISSING_LIST_TABLE = "MISSING_LIST_TABLE"
  ),
  OPTIONAL
)

# Next one will fail
try(
  prep_check_meta_names(data.frame(VAR_NAMES = 1, DATA_TYPE = 2,
    MISSING_LIST = 3), TECHNICAL)
)

## End(Not run)

dataquieR documentation built on July 26, 2023, 6:10 p.m.