# Preprocessing Tools to Create Design Matrices

## Documentation for package ‘recipes’ version 0.1.0

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

## Help Pages

recipes-package | recipes: A package for computing and preprocessing design matrices.
add_role | Manually Add Roles
add_step | Add a New Step to Current Recipe
all_nominal | Role Selection
all_numeric | Role Selection
all_outcomes | Role Selection
all_predictors | Role Selection
bake | Apply a Trained Data Recipe
bake.recipe | Apply a Trained Data Recipe
biomass | Biomass Data
covers | Raw Cover Type Data
credit_data | Credit Data
current_info | Role Selection
denom_vars | Ratio Variable Creation
discretize | Discretize Numeric Variables
discretize.default | Discretize Numeric Variables
discretize.numeric | Discretize Numeric Variables
has_role | Role Selection
has_type | Role Selection
imp_vars | Imputation via Bagged Trees
juice | Extract Finalized Training Set
names0 | Sequences of Names with Padded Zeros
okc | OkCupid Data
predict.discretize | Discretize Numeric Variables
prep | Train a Data Recipe
prep.recipe | Train a Data Recipe
print.recipe | Print a Recipe
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 | recipes: A package for computing and preprocessing design matrices.
selections | Methods for Select Variables in Step Functions
step | A General Step Wrapper
step_bagimpute | Imputation via Bagged Trees
step_bin2factor | Create a Factors from A Dummy Variable
step_BoxCox | Box-Cox Transformation for Non-Negative Data
step_center | Centering Numeric Data
step_classdist | Distances to Class Centroids
step_corr | High Correlation Filter
step_date | Date Feature Generator
step_depth | Data Depths
step_discretize | Discretize Numeric Variables
step_dummy | Dummy Variables Creation
step_holiday | Holiday Feature Generator
step_hyperbolic | Hyperbolic Transformations
step_ica | ICA Signal Extraction
step_interact | Create Interaction Variables
step_intercept | Add intercept (or constant) column
step_invlogit | Inverse Logit Transformation
step_isomap | Isomap Embedding
step_knnimpute | Imputation via K-Nearest Neighbors
step_kpca | Kernel PCA Signal Extraction
step_lincomb | Linear Combination Filter
step_log | Logarithmic Transformation
step_logit | Logit Transformation
step_meanimpute | Impute Numeric Data Using the Mean
step_modeimpute | Impute Nominal Data Using the Most Common Value
step_ns | Nature Spline Basis Functions
step_nzv | Near-Zero Variance Filter
step_ordinalscore | Convert Ordinal Factors to Numeric Scores
step_other | Collapse Some Categorical Levels
step_pca | PCA Signal Extraction
step_poly | Orthogonal Polynomial Basis Functions
step_range | Scaling Numeric Data to a Specific Range
step_ratio | Ratio Variable Creation
step_regex | Create Dummy Variables using Regular Expressions
step_rm | General Variable Filter
step_scale | Scaling Numeric Data
step_shuffle | Shuffle Variables
step_spatialsign | Spatial Sign Preprocessing
step_sqrt | Square Root Transformation
step_window | Moving Window Functions
step_YeoJohnson | Yeo-Johnson Transformation
summary.recipe | Summarize a Recipe
terms_select | Select Terms in a Step Function.