simulate_synthetic: Simulate row-bootstrap synthetic data

In simulab: Simulates a Wide Variety of Data Shapes, Sizes and Distributions

Simulate row-bootstrap synthetic data

Description

Simulate row-bootstrap synthetic data

Usage

simulate_synthetic(
  data,
  n = nrow(data),
  variables = NULL,
  id = "id",
  seed = NULL,
  batch = NULL
)

Arguments

data	Source base data.frame.
n	Number of synthetic observations.
variables	Variables to sample. NULL selects every non-identifier variable.
id	Identifier variable in the result.
seed	Optional random seed.
batch	Optional single positive whole number. When given, the simulator runs batch times and returns a plain list of batch results, each exactly what the same call without batch returns. With a seed, every dataset gets its own seed drawn from seed, so the whole batch is reproducible; without one the datasets are consecutive draws from the session's random-number stream. The default NULL returns a single result.

Value

A simulab_sim base data.frame with n rows of jointly resampled values, the identifier column first. as.data.frame(x, what = "provenance") gives the source row each synthetic row was drawn from.

Examples

source_data <- data.frame(id = 1:100, x = stats::rnorm(100), y = stats::runif(100))
result <- simulate_synthetic(source_data, n = 50, seed = 1)
head(result)

simulab documentation built on Oct. 15, 2026, 5:08 p.m.