prep_study2meta: Guess a metadata data frame from study data.

In dataquieR: Data Quality in Epidemiological Research

Guess a metadata data frame from study data.

Description

Guess a minimum metadata data frame from study data. Minimum required variable attributes are:

Usage

prep_study2meta(
  study_data,
  level = c(VARATT_REQUIRE_LEVELS$REQUIRED, VARATT_REQUIRE_LEVELS$RECOMMENDED),
  cumulative = TRUE,
  convert_factors = FALSE,
  guess_missing_codes = getOption("dataquieR.guess_missing_codes",
    dataquieR.guess_missing_codes_default),
  guess_character = getOption("dataquieR.guess_character", default =
    dataquieR.guess_character_default)
)

Arguments

study_data	data.frame the data frame that contains the measurements
level	enum levels to provide (see also VARATT_REQUIRE_LEVELS)
cumulative	logical include attributes of all levels up to level
convert_factors	logical convert factor columns to coded integers. if selected, then also the study data will be updated and returned.
guess_missing_codes	logical try to guess missing codes from the data
guess_character	logical guess a data type for character columns based on the values

Details

dataquieR:::util_get_var_att_names_of_level(VARATT_REQUIRE_LEVELS$REQUIRED)
#>            VAR_NAMES            DATA_TYPE   MISSING_LIST_TABLE 
#>          "VAR_NAMES"          "DATA_TYPE" "MISSING_LIST_TABLE"

The function also tries to detect missing codes.

Value

a meta_data data frame or a list with study data and metadata, if convert_factors == TRUE.

Examples

## Not run: 
dataquieR::prep_study2meta(Orange, convert_factors = FALSE)

## End(Not run)

dataquieR documentation built on Jan. 8, 2026, 5:08 p.m.