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Derive the fit Task Table from a Scenario

Source: R/task-lists.R
ssd_scenario_fit_tasks.Rd

Crosses each sample-task identity (dataset, sim, replace) with the scenario's nrow values and each row of the scenario's fit argument grid (rescale, computable, at_boundary_ok, min_pmix name, range_shape1, range_shape2). nrow is a genuine fit cross-join axis: the fit step truncates its parent sample inline (head(sample, nrow), RNG-free) before fitting, so the shared draw is sub-truncated without a separate data step (TARGETS-DESIGN.md section 5). Parent-identity columns are preserved verbatim so the table can be grouped directly downstream. min_pmix is referenced by name, not by function value (TARGETS-DESIGN.md section 1.1).

Usage

ssd_scenario_fit_tasks(scenario)

Arguments

scenario

An ssdsims_scenario from ssd_define_scenario().

Value

An ssdsims_tasks object recording the "fit" step, with one row per (dataset, sim, replace, nrow) identity crossed with the fit grid.

Details

Each row carries a fit_id primary key and a sample_id foreign key referencing its parent sample task.

Examples

scenario <- ssd_define_scenario(
  ssddata::ccme_boron,
  nsim = 3L,
  seed = 42L,
  rescale = c(FALSE, TRUE)
)
ssd_scenario_fit_tasks(scenario)
#> <ssdsims_tasks: fit>
#>   axes:  dataset, sim, replace, nrow, rescale, computable, at_boundary_ok, min_pmix, range_shape1, range_shape2
#>   tasks: 6
#> # A tibble: 6 × 12
#>   dataset      sim replace  nrow rescale computable at_boundary_ok min_pmix    
#>   <chr>      <int> <lgl>   <int> <lgl>   <lgl>      <lgl>          <chr>       
#> 1 ccme_boron     1 FALSE       6 FALSE   FALSE      TRUE           ssd_min_pmix
#> 2 ccme_boron     1 FALSE       6 TRUE    FALSE      TRUE           ssd_min_pmix
#> 3 ccme_boron     2 FALSE       6 FALSE   FALSE      TRUE           ssd_min_pmix
#> 4 ccme_boron     2 FALSE       6 TRUE    FALSE      TRUE           ssd_min_pmix
#> 5 ccme_boron     3 FALSE       6 FALSE   FALSE      TRUE           ssd_min_pmix
#> 6 ccme_boron     3 FALSE       6 TRUE    FALSE      TRUE           ssd_min_pmix
#> # ℹ 4 more variables: range_shape1 <list>, range_shape2 <list>, fit_id <chr>,
#> #   sample_id <chr>