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>Make a random identification field for steps
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>prefix</code></td>
<td>
<p>A single character string</p>
</td>
</tr>
<tr valign="top">
<td><code>len</code></td>
<td>
<p>An integer for the number of random characters</p>
</td>
</tr>
</table>

<p>A character string with the prefix and random letters separated by
and underscore.
</p>

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

rand_id

Description

Usage

Arguments

Value

recipes

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`prefix`	A single character string
`len`	An integer for the number of random characters