Create a direct continuous mock-data specification

mock_continuous() is the simple direct API for continuous variables. It returns a validated mock_spec; it does not generate data. Generation backends will consume this specification in a later v0.4 milestone.

Usage

mock_continuous(
  name,
  range,
  distribution = "uniform",
  mean = NA_real_,
  sd = NA_real_,
  rtype = "double",
  missing_codes = numeric(0),
  missing_proportions = numeric(0),
  garbage_rules = list(),
  provenance = NULL,
  model_hint = "auto",
  spec_version = .mock_spec_version
)

Arguments

name: Variable name.
range: Numeric vector of length two giving the inclusive valid range.
distribution: Distribution name. Defaults to "uniform".
mean, sd: Optional distribution parameters. Required when distribution = "normal".
rtype: R output type. Defaults to "double".
missing_codes: Explicit missing-code values.
missing_proportions: Missing-code probabilities aligned to missing_codes.
garbage_rules: List of intentional invalid-value rules.
provenance: Optional provenance metadata. Defaults to the direct API.
model_hint: Backend hint.
spec_version: Character version of the specification shape.

Value

A validated mock_spec object containing one continuous variable.

Details

Use mock_continuous() when specifying one variable directly in R code. Use mock_spec_continuous() with mock_spec() when composing several variables or when writing an adapter from another metadata source.

Examples

age_spec <- mock_continuous(
  "age",
  range = c(18, 85),
  distribution = "normal",
  mean = 50,
  sd = 12,
  rtype = "integer"
)
validate_mock_spec(age_spec)
#> MockData mock_spec validation result: valid