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recipes (version 1.1.0)

tidy.step_BoxCox: Tidy the result of a recipe

Description

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).

Usage

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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.

Examples

Run this code
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)

tidy(Sacramento_rec, number = 2)
tidy(Sacramento_rec, number = 3)

Sacramento_rec_trained <- prep(Sacramento_rec, training = Sacramento)

tidy(Sacramento_rec_trained)
tidy(Sacramento_rec_trained, number = 3)
tidy(Sacramento_rec_trained, number = 4)

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