Suggest a conditional rule

Suggest a conditional rule based on a association rule. This functions derives conditional rules based on the non-existance of combinations of categories in pairs of variables. For each numerical variable a logical variable is derived that tests for positivity. It generates IF THEN rules based on two variables.

write_cond_rule(d, vars = names(d), file = stdout())

suggest_cond_rule(d, vars = names(d))

Arguments

d

data.frame, used to generate the checks

vars

character optionally the subset of variables to be used.

file

file to which the checks will be written to.

Value

suggest_cond_rule returns validate::validator() object with the suggested rules. write_cond_rule returns invisibly a named list of ranges for each variable.

Examples

data(retailers, package="validate")

# will generate check for all columns in retailers that are
# complete.
suggest_na_check(retailers)
#> Object of class 'validator' with 2 elements:
#>  NA1: is.complete(size)
#>  NA2: is.complete(incl.prob)
data("car_owner")

rules <- suggest_cond_rule(car_owner)
rules$rules
#> [[1]]
#> 
#> Object of class rule.
#>  expr       : if (driver_license == FALSE) owns_car == FALSE 
#>  name       : CR1 
#>  label      :  
#>  description: conditional rule 
#>  origin     : validatesuggest 0.3.2 
#>  created    : 2023-10-06 10:29:38
#>  meta       : language<chr>, severity<chr>
#> [[2]]
#> 
#> Object of class rule.
#>  expr       : if (owns_car == TRUE) income > 0 
#>  name       : CR2 
#>  label      :  
#>  description: conditional rule 
#>  origin     : validatesuggest 0.3.2 
#>  created    : 2023-10-06 10:29:38
#>  meta       : language<chr>, severity<chr>