Show best score, based on number or proportion of predictors with optional cutoff value (singular)

Show best score, based on number or proportion of predictors with optional cutoff value (singular)

Arguments

x

A score class object, i.e., score_*.

...

Further arguments passed to or from other methods.

prop_terms

A numeric value specifying the proportion of predictors to consider.

num_terms

An integer value specifying the number of predictors to consider.

cutoff

A numeric value specifying the cutoff value.

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      

ames_aov_pval_res |> show_best_score_dual(prop_terms = 0.5)
#> # A tibble: 2 × 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  
ames_aov_pval_res |> show_best_score_dual(prop_terms = 0.5, cutoff = 130)
#> # A tibble: 1 × 4
#>   name     score outcome    predictor  
#>   <chr>    <dbl> <chr>      <chr>      
#> 1 aov_pval  237. Sale_Price MS_SubClass

ames_aov_pval_res |> show_best_score_dual(num_terms = 2)
#> # A tibble: 2 × 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  
ames_aov_pval_res |> show_best_score_dual(prop_terms = 2, cutoff = 130)
#> # A tibble: 1 × 4
#>   name     score outcome    predictor  
#>   <chr>    <dbl> <chr>      <chr>      
#> 1 aov_pval  237. Sale_Price MS_SubClass