Tidy the result of a recipe

tidy() will return a data frame that contains information regarding a recipe or operation within the recipe (when a tidy() method for the operation exists).

# S3 method for class 'step_BoxCox'
tidy(x, ...)

# S3 method for class 'step_YeoJohnson'
tidy(x, ...)

# S3 method for class 'step_arrange'
tidy(x, ...)

# S3 method for class 'step_bin2factor'
tidy(x, ...)

# S3 method for class 'step_bs'
tidy(x, ...)

# S3 method for class 'step_center'
tidy(x, ...)

# S3 method for class 'check_class'
tidy(x, ...)

# S3 method for class 'step_classdist'
tidy(x, ...)

# S3 method for class 'step_classdist_shrunken'
tidy(x, ...)

# S3 method for class 'check_cols'
tidy(x, ...)

# S3 method for class 'step_corr'
tidy(x, ...)

# S3 method for class 'step_count'
tidy(x, ...)

# S3 method for class 'step_cut'
tidy(x, ...)

# S3 method for class 'step_date'
tidy(x, ...)

# S3 method for class 'step_depth'
tidy(x, ...)

# S3 method for class 'step_discretize'
tidy(x, ...)

# S3 method for class 'step_dummy'
tidy(x, ...)

# S3 method for class 'step_dummy_extract'
tidy(x, ...)

# S3 method for class 'step_dummy_multi_choice'
tidy(x, ...)

# S3 method for class 'step_factor2string'
tidy(x, ...)

# S3 method for class 'step_filter'
tidy(x, ...)

# S3 method for class 'step_filter_missing'
tidy(x, ...)

# S3 method for class 'step_geodist'
tidy(x, ...)

# S3 method for class 'step_harmonic'
tidy(x, ...)

# S3 method for class 'step_holiday'
tidy(x, ...)

# S3 method for class 'step_hyperbolic'
tidy(x, ...)

# S3 method for class 'step_ica'
tidy(x, ...)

# S3 method for class 'step_impute_bag'
tidy(x, ...)

# S3 method for class 'step_impute_knn'
tidy(x, ...)

# S3 method for class 'step_impute_linear'
tidy(x, ...)

# S3 method for class 'step_impute_lower'
tidy(x, ...)

# S3 method for class 'step_impute_mean'
tidy(x, ...)

# S3 method for class 'step_impute_median'
tidy(x, ...)

# S3 method for class 'step_impute_mode'
tidy(x, ...)

# S3 method for class 'step_impute_roll'
tidy(x, ...)

# S3 method for class 'step_indicate_na'
tidy(x, ...)

# S3 method for class 'step_integer'
tidy(x, ...)

# S3 method for class 'step_interact'
tidy(x, ...)

# S3 method for class 'step_intercept'
tidy(x, ...)

# S3 method for class 'step_inverse'
tidy(x, ...)

# S3 method for class 'step_invlogit'
tidy(x, ...)

# S3 method for class 'step_isomap'
tidy(x, ...)

# S3 method for class 'step_kpca'
tidy(x, ...)

# S3 method for class 'step_kpca_poly'
tidy(x, ...)

# S3 method for class 'step_kpca_rbf'
tidy(x, ...)

# S3 method for class 'step_lag'
tidy(x, ...)

# S3 method for class 'step_lincomb'
tidy(x, ...)

# S3 method for class 'step_log'
tidy(x, ...)

# S3 method for class 'step_logit'
tidy(x, ...)

# S3 method for class 'check_missing'
tidy(x, ...)

# S3 method for class 'step_mutate'
tidy(x, ...)

# S3 method for class 'step_mutate_at'
tidy(x, ...)

# S3 method for class 'step_naomit'
tidy(x, ...)

# S3 method for class 'check_new_values'
tidy(x, ...)

# S3 method for class 'step_nnmf'
tidy(x, ...)

# S3 method for class 'step_nnmf_sparse'
tidy(x, ...)

# S3 method for class 'step_normalize'
tidy(x, ...)

# S3 method for class 'step_novel'
tidy(x, ...)

# S3 method for class 'step_ns'
tidy(x, ...)

# S3 method for class 'step_num2factor'
tidy(x, ...)

# S3 method for class 'step_nzv'
tidy(x, ...)

# S3 method for class 'step_ordinalscore'
tidy(x, ...)

# S3 method for class 'step_other'
tidy(x, ...)

# S3 method for class 'step_pca'
tidy(x, type = "coef", ...)

# S3 method for class 'step_percentile'
tidy(x, ...)

# S3 method for class 'step_pls'
tidy(x, ...)

# S3 method for class 'step_poly'
tidy(x, ...)

# S3 method for class 'step_poly_bernstein'
tidy(x, ...)

# S3 method for class 'step_profile'
tidy(x, ...)

# S3 method for class 'step_range'
tidy(x, ...)

# S3 method for class 'check_range'
tidy(x, ...)

# S3 method for class 'step_ratio'
tidy(x, ...)

# S3 method for class 'step_regex'
tidy(x, ...)

# S3 method for class 'step_relevel'
tidy(x, ...)

# S3 method for class 'step_relu'
tidy(x, ...)

# S3 method for class 'step_rename'
tidy(x, ...)

# S3 method for class 'step_rename_at'
tidy(x, ...)

# S3 method for class 'step_rm'
tidy(x, ...)

# S3 method for class 'step_sample'
tidy(x, ...)

# S3 method for class 'step_scale'
tidy(x, ...)

# S3 method for class 'step_select'
tidy(x, ...)

# S3 method for class 'step_shuffle'
tidy(x, ...)

# S3 method for class 'step_slice'
tidy(x, ...)

# S3 method for class 'step_spatialsign'
tidy(x, ...)

# S3 method for class 'step_spline_b'
tidy(x, ...)

# S3 method for class 'step_spline_convex'
tidy(x, ...)

# S3 method for class 'step_spline_monotone'
tidy(x, ...)

# S3 method for class 'step_spline_natural'
tidy(x, ...)

# S3 method for class 'step_spline_nonnegative'
tidy(x, ...)

# S3 method for class 'step_sqrt'
tidy(x, ...)

# S3 method for class 'step_string2factor'
tidy(x, ...)

# S3 method for class 'recipe'
tidy(x, number = NA, id = NA, ...)

# S3 method for class 'step'
tidy(x, ...)

# S3 method for class 'check'
tidy(x, ...)

# S3 method for class 'step_time'
tidy(x, ...)

# S3 method for class 'step_unknown'
tidy(x, ...)

# S3 method for class 'step_unorder'
tidy(x, ...)

# S3 method for class 'step_window'
tidy(x, ...)

# S3 method for class 'step_zv'
tidy(x, ...)

Arguments

x

A recipe object, step, or check (trained or otherwise).

...

Not currently used.

type

For step_pca, either "coef" (for the variable loadings per component) or "variance" (how much variance does each component account for).

number

An integer or NA. If missing, and id is not provided, the return value is a list of the operations in the recipe. If a number is given, a tidy method is executed for that operation in the recipe (if it exists). number must not be provided if id is.

id

A character string or NA. If missing and number is not provided, the return value is a list of the operations in the recipe. If a character string is given, a tidy method is executed for that operation in the recipe (if it exists). id must not be provided if number is.

Value

A tibble with columns that vary depending on what tidy method is executed. When number, and id are NA, a tibble with columns number (the operation iteration), operation (either "step" or "check"), type (the method, e.g. "nzv", "center"), a logical column called trained for whether the operation has been estimated using prep, a logical for skip, and a character column id.

Examples

data(Sacramento, package = "modeldata")

Sacramento_rec <- recipe(~., data = Sacramento) |>
  step_other(all_nominal(), threshold = 0.05, other = "another") |>
  step_center(all_numeric()) |>
  step_dummy(all_nominal()) |>
  check_cols(ends_with("ude"), sqft, price)

tidy(Sacramento_rec)
#> # A tibble: 4 × 6
#>   number operation type   trained skip  id          
#>    <int> <chr>     <chr>  <lgl>   <lgl> <chr>       
#> 1      1 step      other  FALSE   FALSE other_rHEnN 
#> 2      2 step      center FALSE   FALSE center_0byij
#> 3      3 step      dummy  FALSE   FALSE dummy_GJcNB 
#> 4      4 check     cols   FALSE   FALSE cols_IeIAm  

tidy(Sacramento_rec, number = 2)
#> # A tibble: 1 × 3
#>   terms         value id          
#>   <chr>         <dbl> <chr>       
#> 1 all_numeric()    NA center_0byij
tidy(Sacramento_rec, number = 3)
#> # A tibble: 1 × 3
#>   terms         columns id         
#>   <chr>         <chr>   <chr>      
#> 1 all_nominal() NA      dummy_GJcNB

Sacramento_rec_trained <- prep(Sacramento_rec, training = Sacramento)

tidy(Sacramento_rec_trained)
#> # A tibble: 4 × 6
#>   number operation type   trained skip  id          
#>    <int> <chr>     <chr>  <lgl>   <lgl> <chr>       
#> 1      1 step      other  TRUE    FALSE other_rHEnN 
#> 2      2 step      center TRUE    FALSE center_0byij
#> 3      3 step      dummy  TRUE    FALSE dummy_GJcNB 
#> 4      4 check     cols   TRUE    FALSE cols_IeIAm  
tidy(Sacramento_rec_trained, number = 3)
#> # A tibble: 6 × 3
#>   terms columns     id         
#>   <chr> <chr>       <chr>      
#> 1 city  ROSEVILLE   dummy_GJcNB
#> 2 city  SACRAMENTO  dummy_GJcNB
#> 3 city  another     dummy_GJcNB
#> 4 zip   another     dummy_GJcNB
#> 5 type  Residential dummy_GJcNB
#> 6 type  another     dummy_GJcNB
tidy(Sacramento_rec_trained, number = 4)
#> # A tibble: 4 × 2
#>   terms     id        
#>   <chr>     <chr>     
#> 1 latitude  cols_IeIAm
#> 2 longitude cols_IeIAm
#> 3 sqft      cols_IeIAm
#> 4 price     cols_IeIAm