dataset (version 0.4.1)

bind_defined_rows: Bind strictly defined rows

Description

Add rows of dataset y to dataset x, validating all semantic metadata. Metadata (labels, units, concept definitions, namespaces) must match exactly. Additional dataset-level metadata such as title and creator can be overridden using ....

Usage

bind_defined_rows(x, y, ..., strict = FALSE)

Value

A new dataset_df object with rows from x and y, combined semantically.

Arguments

x

A dataset_df object.

y

A dataset_df object to bind to x.

...

Optional dataset-level attributes such as title or creator to override.

strict

Logical. If TRUE (default), require full semantic compatibility, including rowid.

Details

This function combines two semantically enriched datasets created with dataset_df(). All variable-level attributes — including labels, units, concept definitions, and namespaces — must match. If strict = TRUE (the default), the row identifier namespace (used in the rowid column) must also match exactly.

If strict = FALSE, row identifiers from y may differ and will be ignored; the output will inherit x's row identifier scheme.

Examples

A <- dataset_df(
  length = defined(c(10, 15),
    label = "Length",
    unit = "cm", namespace = "http://example.org"
  ),
  identifier = c(id = "http://example.org/dataset#"),
  dataset_bibentry = dublincore(
    title = "Dataset A",
    creator = person("Alice", "Smith")
  )
)

B <- dataset_df(
  length = defined(c(20, 25),
    label = "Length",
    unit = "cm", namespace = "http://example.org"
  ),
  identifier = c(id = "http://example.org/dataset#")
)

bind_defined_rows(A, B) # succeeds

C <- dataset_df(
  length = defined(c(30, 35),
    label = "Length",
    unit = "cm", namespace = "http://example.org"
  ),
  identifier = c(id = "http://another.org/dataset#")
)

if (FALSE) {
bind_defined_rows(A, C, strict = TRUE) # fails: mismatched rowid
}

bind_defined_rows(A, C, strict = FALSE) # succeeds: rowid inherited