R: Preprocessing and Feature Engineering Steps for Modeling

# Preprocessing and Feature Engineering Steps for Modeling

## Documentation for package ‘recipes’ version 1.3.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C D F G H I J M N P R S T U V misc

## -- A --

add_check | Add a New Operation to the Current Recipe
add_role | Manually alter roles
add_step | Add a New Operation to the Current Recipe
all_date | Role Selection
all_datetime | Role Selection
all_datetime_predictors | Role Selection
all_date_predictors | Role Selection
all_double | Role Selection
all_double_predictors | Role Selection
all_factor | Role Selection
all_factor_predictors | Role Selection
all_integer | Role Selection
all_integer_predictors | Role Selection
all_logical | Role Selection
all_logical_predictors | Role Selection
all_nominal | Role Selection
all_nominal_predictors | Role Selection
all_numeric | Role Selection
all_numeric_predictors | Role Selection
all_ordered | Role Selection
all_ordered_predictors | Role Selection
all_outcomes | Role Selection
all_predictors | Role Selection
all_string | Role Selection
all_string_predictors | Role Selection
all_unordered | Role Selection
all_unordered_predictors | Role Selection
are_weights_used | Helpers for steps with case weights
averages | Helpers for steps with case weights

## -- B --

bake | Apply a trained preprocessing recipe
bake.recipe | Apply a trained preprocessing recipe

## -- C --

case-weight-helpers | Helpers for steps with case weights
case_weights | Using case weights with recipes
check_class | Check variable class
check_cols | Check if all columns are present
check_missing | Check for missing values
check_new_values | Check for new values
check_range | Check range consistency
correlations | Helpers for steps with case weights
covariances | Helpers for steps with case weights
current_info | Role Selection

## -- D --

denom_vars | Ratio variable creation
detect_step | Detect if a particular step or check is used in a recipe
developer_functions | Developer functions for creating recipes steps
discretize | Discretize Numeric Variables
discretize.default | Discretize Numeric Variables
discretize.numeric | Discretize Numeric Variables
dummy_extract_names | Naming Tools
dummy_names | Naming Tools

## -- F --

formula.recipe | Create a formula from a prepared recipe
fully_trained | Check to see if a recipe is trained/prepared

## -- G --

get_case_weights | Helpers for steps with case weights

## -- H --

has_role | Role Selection
has_type | Role Selection

## -- I --

imp_vars | Impute via bagged trees

## -- J --

juice | Extract transformed training set

## -- M --

medians | Helpers for steps with case weights

## -- N --

names0 | Naming Tools

## -- P --

pca_wts | Helpers for steps with case weights
predict.discretize | Discretize Numeric Variables
prep | Estimate a preprocessing recipe
prep.recipe | Estimate a preprocessing recipe
prepper | Wrapper function for preparing recipes within resampling
print.recipe | Print a Recipe

## -- R --

recipe | Create a recipe for preprocessing data
recipe.data.frame | Create a recipe for preprocessing data
recipe.default | Create a recipe for preprocessing data
recipe.formula | Create a recipe for preprocessing data
recipe.matrix | Create a recipe for preprocessing data
recipes_argument_select | Evaluate a selection with tidyselect semantics for arguments
recipes_eval_select | Evaluate a selection with tidyselect semantics specific to recipes
recipes_extension_check | Checks that steps have all S3 methods
remove_role | Manually alter roles
roles | Manually alter roles

## -- S --

selection | Methods for selecting variables in step functions
selections | Methods for selecting variables in step functions
sparse_data | Using sparse data with recipes
step_arrange | Sort rows using dplyr
step_bin2factor | Create a factors from A dummy variable
step_BoxCox | Box-Cox transformation for non-negative data
step_bs | B-spline basis functions
step_center | Centering numeric data
step_classdist | Distances to class centroids
step_classdist_shrunken | Compute shrunken centroid distances for classification models
step_corr | High correlation filter
step_count | Create counts of patterns using regular expressions
step_cut | Cut a numeric variable into a factor
step_date | Date feature generator
step_depth | Data depths
step_discretize | Discretize Numeric Variables
step_dummy | Create traditional dummy variables
step_dummy_extract | Extract patterns from nominal data
step_dummy_multi_choice | Handle levels in multiple predictors together
step_factor2string | Convert factors to strings
step_filter | Filter rows using dplyr
step_filter_missing | Missing value column filter
step_geodist | Distance between two locations
step_harmonic | Add sin and cos terms for harmonic analysis
step_holiday | Holiday feature generator
step_hyperbolic | Hyperbolic transformations
step_ica | ICA signal extraction
step_impute_bag | Impute via bagged trees
step_impute_knn | Impute via k-nearest neighbors
step_impute_linear | Impute numeric variables via a linear model
step_impute_lower | Impute numeric data below the threshold of measurement
step_impute_mean | Impute numeric data using the mean
step_impute_median | Impute numeric data using the median
step_impute_mode | Impute nominal data using the most common value
step_impute_roll | Impute numeric data using a rolling window statistic
step_indicate_na | Create missing data column indicators
step_integer | Convert values to predefined integers
step_interact | Create interaction variables
step_intercept | Add intercept (or constant) column
step_inverse | Inverse transformation
step_invlogit | Inverse logit transformation
step_isomap | Isomap embedding
step_kpca | Kernel PCA signal extraction
step_kpca_poly | Polynomial kernel PCA signal extraction
step_kpca_rbf | Radial basis function kernel PCA signal extraction
step_lag | Create a lagged predictor
step_lincomb | Linear combination filter
step_log | Logarithmic transformation
step_logit | Logit transformation
step_mutate | Add new variables using dplyr
step_mutate_at | Mutate multiple columns using dplyr
step_naomit | Remove observations with missing values
step_nnmf | Non-negative matrix factorization signal extraction
step_nnmf_sparse | Non-negative matrix factorization signal extraction with lasso penalization
step_normalize | Center and scale numeric data
step_novel | Simple value assignments for novel factor levels
step_ns | Natural spline basis functions
step_num2factor | Convert numbers to factors
step_nzv | Near-zero variance filter
step_ordinalscore | Convert ordinal factors to numeric scores
step_other | Collapse infrequent categorical levels
step_pca | PCA signal extraction
step_percentile | Percentile transformation
step_pls | Partial least squares feature extraction
step_poly | Orthogonal polynomial basis functions
step_poly_bernstein | Generalized bernstein polynomial basis
step_profile | Create a profiling version of a data set
step_range | Scaling numeric data to a specific range
step_ratio | Ratio variable creation
step_regex | Detect a regular expression
step_relevel | Relevel factors to a desired level
step_relu | Apply (smoothed) rectified linear transformation
step_rename | Rename variables by name using dplyr
step_rename_at | Rename multiple columns using dplyr
step_rm | General variable filter
step_sample | Sample rows using dplyr
step_scale | Scaling numeric data
step_select | Select variables using dplyr
step_shuffle | Shuffle variables
step_slice | Filter rows by position using dplyr
step_spatialsign | Spatial sign preprocessing
step_spline_b | Basis splines
step_spline_convex | Convex splines
step_spline_monotone | Monotone splines
step_spline_natural | Natural splines
step_spline_nonnegative | Non-negative splines
step_sqrt | Square root transformation
step_string2factor | Convert strings to factors
step_time | Time feature generator
step_unknown | Assign missing categories to "unknown"
step_unorder | Convert ordered factors to unordered factors
step_window | Moving window functions
step_YeoJohnson | Yeo-Johnson transformation
step_zv | Zero variance filter
summary.recipe | Summarize a recipe

## -- T --

tidy.check | Tidy the result of a recipe
tidy.check_class | Tidy the result of a recipe
tidy.check_cols | Tidy the result of a recipe
tidy.check_missing | Tidy the result of a recipe
tidy.check_new_values | Tidy the result of a recipe
tidy.check_range | Tidy the result of a recipe
tidy.recipe | Tidy the result of a recipe
tidy.step | Tidy the result of a recipe
tidy.step_arrange | Tidy the result of a recipe
tidy.step_bin2factor | Tidy the result of a recipe
tidy.step_BoxCox | Tidy the result of a recipe
tidy.step_bs | Tidy the result of a recipe
tidy.step_center | Tidy the result of a recipe
tidy.step_classdist | Tidy the result of a recipe
tidy.step_classdist_shrunken | Tidy the result of a recipe
tidy.step_corr | Tidy the result of a recipe
tidy.step_count | Tidy the result of a recipe
tidy.step_cut | Tidy the result of a recipe
tidy.step_date | Tidy the result of a recipe
tidy.step_depth | Tidy the result of a recipe
tidy.step_discretize | Tidy the result of a recipe
tidy.step_dummy | Tidy the result of a recipe
tidy.step_dummy_extract | Tidy the result of a recipe
tidy.step_dummy_multi_choice | Tidy the result of a recipe
tidy.step_factor2string | Tidy the result of a recipe
tidy.step_filter | Tidy the result of a recipe
tidy.step_filter_missing | Tidy the result of a recipe
tidy.step_geodist | Tidy the result of a recipe
tidy.step_harmonic | Tidy the result of a recipe
tidy.step_holiday | Tidy the result of a recipe
tidy.step_hyperbolic | Tidy the result of a recipe
tidy.step_ica | Tidy the result of a recipe
tidy.step_impute_bag | Tidy the result of a recipe
tidy.step_impute_knn | Tidy the result of a recipe
tidy.step_impute_linear | Tidy the result of a recipe
tidy.step_impute_lower | Tidy the result of a recipe
tidy.step_impute_mean | Tidy the result of a recipe
tidy.step_impute_median | Tidy the result of a recipe
tidy.step_impute_mode | Tidy the result of a recipe
tidy.step_impute_roll | Tidy the result of a recipe
tidy.step_indicate_na | Tidy the result of a recipe
tidy.step_integer | Tidy the result of a recipe
tidy.step_interact | Tidy the result of a recipe
tidy.step_intercept | Tidy the result of a recipe
tidy.step_inverse | Tidy the result of a recipe
tidy.step_invlogit | Tidy the result of a recipe
tidy.step_isomap | Tidy the result of a recipe
tidy.step_kpca | Tidy the result of a recipe
tidy.step_kpca_poly | Tidy the result of a recipe
tidy.step_kpca_rbf | Tidy the result of a recipe
tidy.step_lag | Tidy the result of a recipe
tidy.step_lincomb | Tidy the result of a recipe
tidy.step_log | Tidy the result of a recipe
tidy.step_logit | Tidy the result of a recipe
tidy.step_mutate | Tidy the result of a recipe
tidy.step_mutate_at | Tidy the result of a recipe
tidy.step_naomit | Tidy the result of a recipe
tidy.step_nnmf | Tidy the result of a recipe
tidy.step_nnmf_sparse | Tidy the result of a recipe
tidy.step_normalize | Tidy the result of a recipe
tidy.step_novel | Tidy the result of a recipe
tidy.step_ns | Tidy the result of a recipe
tidy.step_num2factor | Tidy the result of a recipe
tidy.step_nzv | Tidy the result of a recipe
tidy.step_ordinalscore | Tidy the result of a recipe
tidy.step_other | Tidy the result of a recipe
tidy.step_pca | Tidy the result of a recipe
tidy.step_percentile | Tidy the result of a recipe
tidy.step_pls | Tidy the result of a recipe
tidy.step_poly | Tidy the result of a recipe
tidy.step_poly_bernstein | Tidy the result of a recipe
tidy.step_profile | Tidy the result of a recipe
tidy.step_range | Tidy the result of a recipe
tidy.step_ratio | Tidy the result of a recipe
tidy.step_regex | Tidy the result of a recipe
tidy.step_relevel | Tidy the result of a recipe
tidy.step_relu | Tidy the result of a recipe
tidy.step_rename | Tidy the result of a recipe
tidy.step_rename_at | Tidy the result of a recipe
tidy.step_rm | Tidy the result of a recipe
tidy.step_sample | Tidy the result of a recipe
tidy.step_scale | Tidy the result of a recipe
tidy.step_select | Tidy the result of a recipe
tidy.step_shuffle | Tidy the result of a recipe
tidy.step_slice | Tidy the result of a recipe
tidy.step_spatialsign | Tidy the result of a recipe
tidy.step_spline_b | Tidy the result of a recipe
tidy.step_spline_convex | Tidy the result of a recipe
tidy.step_spline_monotone | Tidy the result of a recipe
tidy.step_spline_natural | Tidy the result of a recipe
tidy.step_spline_nonnegative | Tidy the result of a recipe
tidy.step_sqrt | Tidy the result of a recipe
tidy.step_string2factor | Tidy the result of a recipe
tidy.step_time | Tidy the result of a recipe
tidy.step_unknown | Tidy the result of a recipe
tidy.step_unorder | Tidy the result of a recipe
tidy.step_window | Tidy the result of a recipe
tidy.step_YeoJohnson | Tidy the result of a recipe
tidy.step_zv | Tidy the result of a recipe

## -- U --

update.step | Update a recipe step
update_role | Manually alter roles
update_role_requirements | Update role specific requirements

## -- V --

variances | Helpers for steps with case weights

## -- misc --

.get_data_types | Get types for use in recipes
.get_data_types.character | Get types for use in recipes
.get_data_types.Date | Get types for use in recipes
.get_data_types.default | Get types for use in recipes
.get_data_types.double | Get types for use in recipes
.get_data_types.factor | Get types for use in recipes
.get_data_types.hardhat_case_weights | Get types for use in recipes
.get_data_types.integer | Get types for use in recipes
.get_data_types.list | Get types for use in recipes
.get_data_types.logical | Get types for use in recipes
.get_data_types.numeric | Get types for use in recipes
.get_data_types.ordered | Get types for use in recipes
.get_data_types.POSIXct | Get types for use in recipes
.get_data_types.Surv | Get types for use in recipes
.get_data_types.textrecipes_tokenlist | Get types for use in recipes