Generate Data for an Unknown Domain

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.

Lifecycle

Examples

spec <- list(
  subjid   = list(type = "character"),
  measure_dt = list(type = "date"),
  value    = list(type = "numeric")
)
domain_data <- generate_unknown_domain("Raw_CUSTOM", spec, n = 10)
head(domain_data)
#>      subjid measure_dt value
#> 1 SUBJ-0001 2012-02-12 74.47
#> 2 SUBJ-0002 2012-09-17 38.26
#> 3 SUBJ-0003 2012-10-26 49.96
#> 4 SUBJ-0004 2012-02-03 56.20
#> 5 SUBJ-0005 2012-03-10 60.87
#> 6 SUBJ-0006 2012-09-16 85.31