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<head><title>R: Preprocessing Tools to Create Design Matrices</title>
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<h1> Preprocessing Tools to Create Design Matrices
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</div><h2>Documentation for package ‘recipes’ version 0.1.0</h2>
<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
</ul>
<h2>Help Pages</h2>
<table width="100%">
<tr><td style="width: 25%;"><a href="recipes.html">recipes-package</a></td>
<td>recipes: A package for computing and preprocessing design matrices.</td></tr>
<tr><td style="width: 25%;"><a href="add_role.html">add_role</a></td>
<td>Manually Add Roles</td></tr>
<tr><td style="width: 25%;"><a href="add_step.html">add_step</a></td>
<td>Add a New Step to Current Recipe</td></tr>
<tr><td style="width: 25%;"><a href="has_role.html">all_nominal</a></td>
<td>Role Selection</td></tr>
<tr><td style="width: 25%;"><a href="has_role.html">all_numeric</a></td>
<td>Role Selection</td></tr>
<tr><td style="width: 25%;"><a href="has_role.html">all_outcomes</a></td>
<td>Role Selection</td></tr>
<tr><td style="width: 25%;"><a href="has_role.html">all_predictors</a></td>
<td>Role Selection</td></tr>
<tr><td style="width: 25%;"><a href="bake.html">bake</a></td>
<td>Apply a Trained Data Recipe</td></tr>
<tr><td style="width: 25%;"><a href="bake.html">bake.recipe</a></td>
<td>Apply a Trained Data Recipe</td></tr>
<tr><td style="width: 25%;"><a href="biomass.html">biomass</a></td>
<td>Biomass Data</td></tr>
<tr><td style="width: 25%;"><a href="covers.html">covers</a></td>
<td>Raw Cover Type Data</td></tr>
<tr><td style="width: 25%;"><a href="credit_data.html">credit_data</a></td>
<td>Credit Data</td></tr>
<tr><td style="width: 25%;"><a href="has_role.html">current_info</a></td>
<td>Role Selection</td></tr>
<tr><td style="width: 25%;"><a href="step_ratio.html">denom_vars</a></td>
<td>Ratio Variable Creation</td></tr>
<tr><td style="width: 25%;"><a href="discretize.html">discretize</a></td>
<td>Discretize Numeric Variables</td></tr>
<tr><td style="width: 25%;"><a href="discretize.html">discretize.default</a></td>
<td>Discretize Numeric Variables</td></tr>
<tr><td style="width: 25%;"><a href="discretize.html">discretize.numeric</a></td>
<td>Discretize Numeric Variables</td></tr>
<tr><td style="width: 25%;"><a href="has_role.html">has_role</a></td>
<td>Role Selection</td></tr>
<tr><td style="width: 25%;"><a href="has_role.html">has_type</a></td>
<td>Role Selection</td></tr>
<tr><td style="width: 25%;"><a href="step_bagimpute.html">imp_vars</a></td>
<td>Imputation via Bagged Trees</td></tr>
<tr><td style="width: 25%;"><a href="juice.html">juice</a></td>
<td>Extract Finalized Training Set</td></tr>
<tr><td style="width: 25%;"><a href="names0.html">names0</a></td>
<td>Sequences of Names with Padded Zeros</td></tr>
<tr><td style="width: 25%;"><a href="okc.html">okc</a></td>
<td>OkCupid Data</td></tr>
<tr><td style="width: 25%;"><a href="discretize.html">predict.discretize</a></td>
<td>Discretize Numeric Variables</td></tr>
<tr><td style="width: 25%;"><a href="prep.html">prep</a></td>
<td>Train a Data Recipe</td></tr>
<tr><td style="width: 25%;"><a href="prep.html">prep.recipe</a></td>
<td>Train a Data Recipe</td></tr>
<tr><td style="width: 25%;"><a href="print.recipe.html">print.recipe</a></td>
<td>Print a Recipe</td></tr>
<tr><td style="width: 25%;"><a href="recipe.html">recipe</a></td>
<td>Create a Recipe for Preprocessing Data</td></tr>
<tr><td style="width: 25%;"><a href="recipe.html">recipe.data.frame</a></td>
<td>Create a Recipe for Preprocessing Data</td></tr>
<tr><td style="width: 25%;"><a href="recipe.html">recipe.default</a></td>
<td>Create a Recipe for Preprocessing Data</td></tr>
<tr><td style="width: 25%;"><a href="recipe.html">recipe.formula</a></td>
<td>Create a Recipe for Preprocessing Data</td></tr>
<tr><td style="width: 25%;"><a href="recipe.html">recipe.matrix</a></td>
<td>Create a Recipe for Preprocessing Data</td></tr>
<tr><td style="width: 25%;"><a href="recipes.html">recipes</a></td>
<td>recipes: A package for computing and preprocessing design matrices.</td></tr>
<tr><td style="width: 25%;"><a href="selections.html">selections</a></td>
<td>Methods for Select Variables in Step Functions</td></tr>
<tr><td style="width: 25%;"><a href="step.html">step</a></td>
<td>A General Step Wrapper</td></tr>
<tr><td style="width: 25%;"><a href="step_bagimpute.html">step_bagimpute</a></td>
<td>Imputation via Bagged Trees</td></tr>
<tr><td style="width: 25%;"><a href="step_bin2factor.html">step_bin2factor</a></td>
<td>Create a Factors from A Dummy Variable</td></tr>
<tr><td style="width: 25%;"><a href="step_BoxCox.html">step_BoxCox</a></td>
<td>Box-Cox Transformation for Non-Negative Data</td></tr>
<tr><td style="width: 25%;"><a href="step_center.html">step_center</a></td>
<td>Centering Numeric Data</td></tr>
<tr><td style="width: 25%;"><a href="step_classdist.html">step_classdist</a></td>
<td>Distances to Class Centroids</td></tr>
<tr><td style="width: 25%;"><a href="step_corr.html">step_corr</a></td>
<td>High Correlation Filter</td></tr>
<tr><td style="width: 25%;"><a href="step_date.html">step_date</a></td>
<td>Date Feature Generator</td></tr>
<tr><td style="width: 25%;"><a href="step_depth.html">step_depth</a></td>
<td>Data Depths</td></tr>
<tr><td style="width: 25%;"><a href="discretize.html">step_discretize</a></td>
<td>Discretize Numeric Variables</td></tr>
<tr><td style="width: 25%;"><a href="step_dummy.html">step_dummy</a></td>
<td>Dummy Variables Creation</td></tr>
<tr><td style="width: 25%;"><a href="step_holiday.html">step_holiday</a></td>
<td>Holiday Feature Generator</td></tr>
<tr><td style="width: 25%;"><a href="step_hyperbolic.html">step_hyperbolic</a></td>
<td>Hyperbolic Transformations</td></tr>
<tr><td style="width: 25%;"><a href="step_ica.html">step_ica</a></td>
<td>ICA Signal Extraction</td></tr>
<tr><td style="width: 25%;"><a href="step_interact.html">step_interact</a></td>
<td>Create Interaction Variables</td></tr>
<tr><td style="width: 25%;"><a href="step_intercept.html">step_intercept</a></td>
<td>Add intercept (or constant) column</td></tr>
<tr><td style="width: 25%;"><a href="step_invlogit.html">step_invlogit</a></td>
<td>Inverse Logit Transformation</td></tr>
<tr><td style="width: 25%;"><a href="step_isomap.html">step_isomap</a></td>
<td>Isomap Embedding</td></tr>
<tr><td style="width: 25%;"><a href="step_knnimpute.html">step_knnimpute</a></td>
<td>Imputation via K-Nearest Neighbors</td></tr>
<tr><td style="width: 25%;"><a href="step_kpca.html">step_kpca</a></td>
<td>Kernel PCA Signal Extraction</td></tr>
<tr><td style="width: 25%;"><a href="step_lincomb.html">step_lincomb</a></td>
<td>Linear Combination Filter</td></tr>
<tr><td style="width: 25%;"><a href="step_log.html">step_log</a></td>
<td>Logarithmic Transformation</td></tr>
<tr><td style="width: 25%;"><a href="step_logit.html">step_logit</a></td>
<td>Logit Transformation</td></tr>
<tr><td style="width: 25%;"><a href="step_meanimpute.html">step_meanimpute</a></td>
<td>Impute Numeric Data Using the Mean</td></tr>
<tr><td style="width: 25%;"><a href="step_modeimpute.html">step_modeimpute</a></td>
<td>Impute Nominal Data Using the Most Common Value</td></tr>
<tr><td style="width: 25%;"><a href="step_ns.html">step_ns</a></td>
<td>Nature Spline Basis Functions</td></tr>
<tr><td style="width: 25%;"><a href="step_nzv.html">step_nzv</a></td>
<td>Near-Zero Variance Filter</td></tr>
<tr><td style="width: 25%;"><a href="step_ordinalscore.html">step_ordinalscore</a></td>
<td>Convert Ordinal Factors to Numeric Scores</td></tr>
<tr><td style="width: 25%;"><a href="step_other.html">step_other</a></td>
<td>Collapse Some Categorical Levels</td></tr>
<tr><td style="width: 25%;"><a href="step_pca.html">step_pca</a></td>
<td>PCA Signal Extraction</td></tr>
<tr><td style="width: 25%;"><a href="step_poly.html">step_poly</a></td>
<td>Orthogonal Polynomial Basis Functions</td></tr>
<tr><td style="width: 25%;"><a href="step_range.html">step_range</a></td>
<td>Scaling Numeric Data to a Specific Range</td></tr>
<tr><td style="width: 25%;"><a href="step_ratio.html">step_ratio</a></td>
<td>Ratio Variable Creation</td></tr>
<tr><td style="width: 25%;"><a href="step_regex.html">step_regex</a></td>
<td>Create Dummy Variables using Regular Expressions</td></tr>
<tr><td style="width: 25%;"><a href="step_rm.html">step_rm</a></td>
<td>General Variable Filter</td></tr>
<tr><td style="width: 25%;"><a href="step_scale.html">step_scale</a></td>
<td>Scaling Numeric Data</td></tr>
<tr><td style="width: 25%;"><a href="step_shuffle.html">step_shuffle</a></td>
<td>Shuffle Variables</td></tr>
<tr><td style="width: 25%;"><a href="step_spatialsign.html">step_spatialsign</a></td>
<td>Spatial Sign Preprocessing</td></tr>
<tr><td style="width: 25%;"><a href="step_sqrt.html">step_sqrt</a></td>
<td>Square Root Transformation</td></tr>
<tr><td style="width: 25%;"><a href="step_window.html">step_window</a></td>
<td>Moving Window Functions</td></tr>
<tr><td style="width: 25%;"><a href="step_YeoJohnson.html">step_YeoJohnson</a></td>
<td>Yeo-Johnson Transformation</td></tr>
<tr><td style="width: 25%;"><a href="summary.recipe.html">summary.recipe</a></td>
<td>Summarize a Recipe</td></tr>
<tr><td style="width: 25%;"><a href="terms_select.html">terms_select</a></td>
<td>Select Terms in a Step Function.</td></tr>
</table>
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