dataquieR (version 1.0.13)

prep_check_meta_names: Checks the validity of meta data w.r.t. the provided column names

Description

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

Usage

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

Value

a logical with:

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

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)

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.

Examples

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",
    KEY_OBSERVER = "KEY_OBSERVER", KEY_DEVICE = "KEY_DEVICE",
    KEY_DATETIME = "KEY_DATETIME",
    KEY_STUDY_SEGMENT = "KEY_STUDY_SEGMENT"
  ),
  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",
    KEY_OBSERVER = "KEY_OBSERVER", KEY_DEVICE = "KEY_DEVICE",
    KEY_DATETIME = "KEY_DATETIME", KEY_STUDY_SEGMENT =
      "KEY_STUDY_SEGMENT",
    DETECTION_LIMITS = "DETECTION_LIMITS", SOFT_LIMITS = "SOFT_LIMITS",
    CONTRADICTIONS = "CONTRADICTIONS", DISTRIBUTION = "DISTRIBUTION",
    DECIMALS = "DECIMALS", VARIABLE_ROLE = "VARIABLE_ROLE",
    DATA_ENTRY_TYPE = "DATA_ENTRY_TYPE",
    VARIABLE_ORDER = "VARIABLE_ORDER", LONG_LABEL =
      "LONG_LABEL", recode = "recode"
  ),
  OPTIONAL
)

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