Generate Data for an Unknown Domain — generate_unknown

Creates a complete data.frame for a domain that has no dedicated generator function in the domain registry or as a legacy Raw_*() function. Each column in the spec is generated using generate_column_by_type(), with an attempt to reuse existing named generator functions for columns whose names match a known generator (e.g. subjid, studyid).

Usage

generate_unknown_domain(
  domain_name,
  domain_spec,
  n,
  context = list(),
  previous_data = NULL
)

Arguments

domain_name: Character. The domain name (e.g. "Raw_CUSTOM").
domain_spec: Named list. Column specifications as returned by CombineSpecs() for this domain.
n: Integer. Target total number of rows for this snapshot (cumulative).
context: List with data, start_date, end_date (same structure as passed to generate_column_by_type()).
previous_data: Optional data.frame from the prior snapshot for this domain. When provided, existing rows are retained and only the delta (n - nrow(previous_data)) new rows are generated.

Value

A data.frame with n rows and one column per spec entry (or more rows if previous_data already exceeds n).

Details

When previous_data is supplied (a data.frame from the prior snapshot), the function uses a cumulative delta pattern: it keeps all existing rows and only generates n - nrow(previous_data) new rows, then binds them together. This mirrors the behavior of the core domain registry generators for longitudinal multi-snapshot generation.