detect_boundary_cat: Detect viable domains for categorical variables

In validatetools: Checking and Simplifying Validation Rule Sets

Detect viable domains for categorical variables

Description

Detect viable domains for categorical variables

Usage

detect_boundary_cat(x, ..., as_df = FALSE)

Arguments

x	validator object with rules
...	not used
as_df	return result as data.frame (before 0.4.5)

Value

data.frame with columns $variable, $value, $min, $max. Each row is a category/value of a categorical variable.

See Also

Other feasibility: detect_boundary_num(), detect_infeasible_rules(), is_contradicted_by(), is_infeasible(), make_feasible()

Examples

rules <- validator(
  x >= 1,
  x + y <= 10,
  y >= 6
)

detect_boundary_num(rules)

rules <- validator(
  job %in% c("yes", "no"),
  if (job == "no") income == 0,
  income > 0
)

detect_boundary_cat(rules)

validatetools documentation built on Oct. 1, 2023, 1:06 a.m.