An extensible framework to create and preprocess
design matrices. Recipes consist of one or more data manipulation
and analysis "steps". Statistical parameters for the steps can
be estimated from an initial data set and then applied to
other data sets. The resulting design matrices can then be used
as inputs into statistical or machine learning models.

Preprocessing Tools to Create Design Matrices

package-ubuntu-20.04-r-4.0.5#cran#recipes-0.1.16

<p><code>add_step</code> adds a step to the last location in the recipe.
<code>add_check</code> does the same for checks.
</p>

add_step(rec, object)

add_check(rec, object)

<table summary="R argblock">
<tr valign="top">
<td><code>rec</code></td>
<td>
<p>A <code><a href="recipe.html">recipe()</a></code>.</p>
</td>
</tr>
<tr valign="top">
<td><code>object</code></td>
<td>
<p>A step or check object.</p>
</td>
</tr>
</table>

<p>A updated <code><a href="recipe.html">recipe()</a></code> with the new operation in the last slot.
</p>

package-ubuntu-20.04-r-4.0.5#cran#recipes-0.1.16#docs#add_step

`rec`	A `recipe()`.
`object`	A step or check object.

add_step

Description

Usage

Arguments

Value

recipes

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