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Creates data frame with all data types (including NA types) that are possible from a model.

Usage

get_all_data_types(
  model,
  complete_data = FALSE,
  possible_data = FALSE,
  given = NULL
)

Arguments

model

A causal_model. A model object generated by make_model.

complete_data

Logical. If `TRUE` returns only complete data types (no NAs). Defaults to `FALSE`.

possible_data

Logical. If `TRUE` returns only complete data types (no NAs) that are *possible* given model restrictions. Note that in principle an intervention could make observationally impossible data types arise. Defaults to `FALSE`.

given

A character. A quoted statement that evaluates to logical. Data conditional on specific values.

Value

A data.frame with all data types (including NA types) that are possible from a model.

See also

Other data_generation: data_helpers, make_data_single(), observe_data()

Examples

# \donttest{
make_model('X -> Y') |> get_all_data_types()
#>      event  X  Y
#> X0Y0  X0Y0  0  0
#> X1Y0  X1Y0  1  0
#> X0Y1  X0Y1  0  1
#> X1Y1  X1Y1  1  1
#> Y0      Y0 NA  0
#> Y1      Y1 NA  1
#> X0      X0  0 NA
#> X1      X1  1 NA
#> None  None NA NA
model <- make_model('X -> Y') |>
  set_restrictions(labels = list(Y = '00'), keep = TRUE)
  get_all_data_types(model)
#>      event  X  Y
#> X0Y0  X0Y0  0  0
#> X1Y0  X1Y0  1  0
#> X0Y1  X0Y1  0  1
#> X1Y1  X1Y1  1  1
#> Y0      Y0 NA  0
#> Y1      Y1 NA  1
#> X0      X0  0 NA
#> X1      X1  1 NA
#> None  None NA NA
  get_all_data_types(model, complete_data = TRUE)
#>      event X Y
#> X0Y0  X0Y0 0 0
#> X1Y0  X1Y0 1 0
#> X0Y1  X0Y1 0 1
#> X1Y1  X1Y1 1 1
  get_all_data_types(model, possible_data = TRUE)
#>      event X Y
#> X0Y0  X0Y0 0 0
#> X1Y0  X1Y0 1 0
  get_all_data_types(model, given  = 'X==1')
#>      event X  Y
#> X1Y0  X1Y0 1  0
#> X1Y1  X1Y1 1  1
#> X1      X1 1 NA
  get_all_data_types(model, given  = 'X==1 & Y==1')
#>      event X Y
#> X1Y1  X1Y1 1 1
# }