var_concept: Get / set a concept definition for a vector or a dataset

In dataset: Create Data Frames that are Easier to Exchange and Reuse

Get / set a concept definition for a vector or a dataset

Description

Assigns a concept URI to a vector created with defined(). This method updates the concept attribute and validates that the input is a single character string or NULL.

Usage

var_concept(x, ...)

var_concept(x) <- value

## Default S3 replacement method:
var_concept(x) <- value

Arguments

x	A vector to which the concept URI will be assigned.
...	Further parameters for inheritance, not in use.
value	A character string with a concept URI or NULL to remove the concept.

Details

get_variable_concepts() is identical to var_concept().

Value

The (linked) concept of the meaning of the data contained by a vector constructed with defined.

The modified vector with updated concept metadata.

Examples

small_country_dataset <- dataset_df(
  country_name = defined(c("Andorra", "Lichtenstein"), label = "Country"),
  gdp = defined(c(3897, 7365),
    label = "Gross Domestic Product",
    unit = "million dollars"
  )
)
var_concept(small_country_dataset$country_name) <- "http://data.europa.eu/bna/c_6c2bb82d"
var_concept(small_country_dataset$country_name)
# To remove a concept definition of variable
var_concept(small_country_dataset$country_name) <- NULL
x <- defined(c(1, 2, 3), label = "Example Variable")
var_concept(x) <- "http://example.org/concept/XYZ"
var_concept(x)

dataset documentation built on June 8, 2025, 10:15 a.m.