Fill safe value (singular) — fill_safe

Fills in safe value for missing score. This is a singular scoring method. See fill_safe_values() for plural scoring method.

Arguments

x: A score class object, i.e., score_*.
return_results: A logical value indicating whether to return results.

Examples


library(dplyr)

ames_subset <- modeldata::ames |>
  dplyr::select(
    Sale_Price,
    MS_SubClass,
    MS_Zoning,
    Lot_Frontage,
    Lot_Area,
    Street
  )
ames_subset <- ames_subset |>
  dplyr::mutate(Sale_Price = log10(Sale_Price))

ames_aov_pval_res <-
  score_aov_pval |>
  fit(Sale_Price ~ ., data = ames_subset)
ames_aov_pval_res@results
#> # A tibble: 5 × 4
#>   name      score outcome    predictor   
#>   <chr>     <dbl> <chr>      <chr>       
#> 1 aov_pval 237.   Sale_Price MS_SubClass 
#> 2 aov_pval 130.   Sale_Price MS_Zoning   
#> 3 aov_pval  NA    Sale_Price Lot_Frontage
#> 4 aov_pval  NA    Sale_Price Lot_Area    
#> 5 aov_pval   5.75 Sale_Price Street      

# Fill safe value
ames_aov_pval_res |> fill_safe_value(return_results = TRUE)
#> # A tibble: 5 × 4
#>   name      score outcome    predictor   
#>   <chr>     <dbl> <chr>      <chr>       
#> 1 aov_pval 237.   Sale_Price MS_SubClass 
#> 2 aov_pval 130.   Sale_Price MS_Zoning   
#> 3 aov_pval Inf    Sale_Price Lot_Frontage
#> 4 aov_pval Inf    Sale_Price Lot_Area    
#> 5 aov_pval   5.75 Sale_Price Street