Create a synthetic benchmark dataset bundle

Generates prediction/reference CSV pairs and a manifest for dry-run validation benchmarking when external data are not yet available.

Usage

createBenchmarkExample(
  output_dir = tempdir(),
  n_trials = 3L,
  n_samples = 300L,
  variables = c("hip_angle", "knee_angle", "ankle_angle"),
  noise_sd = 0.02,
  seed = 1
)

Arguments

output_dir

Output directory where files are written.

n_trials

Number of synthetic trials.

n_samples

Samples per trial.

variables

Character vector of variable names.

noise_sd

Prediction noise SD relative to the generated reference.

seed

Random seed.

Value

A list with manifest, manifest_path, and data_dir.

References

Bland JM, Altman DG (1986). "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement." Lancet, 327(8476), 307-310.

See also

runBenchmarkSuite() for running the benchmark suite, benchmarkManifestTemplate() for creating empty manifest templates.

Examples

ex <- createBenchmarkExample(n_trials = 2, seed = 1)
runBenchmarkSuite(ex$manifest, data_dir = ex$data_dir)
#> Benchmark suite
#>   Trials: 2 
#>   Variables: 6 
#>   Variable pass rate: 100.0% 
#>   Trial pass rate: 100.0% 
#>   Mean RMSE: 0.02067 
#>   Mean Cor: 0.9998 
#>   Mean ICC: 0.9998