check_type

This internal function is to be used in the prep function to ensure that
the type of the variables matches the expectation. Throws an error if
check fails.

internal

A recipe prepares your data for modeling. We provide an
extensible framework for pipeable sequences of feature engineering
steps provides preprocessing tools to be applied to data. Statistical
parameters for the steps can be estimated from an initial data set and
then applied to other data sets. The resulting processed output can
then be used as inputs for statistical or machine learning models.

Max Kuhn

recipes

Preprocessing and Feature Engineering Steps for Modeling

Hadley Wickham

Emil Hvitfeldt

Posit Software, PBC 

check_type function

<dl><dt>dat</dt>
<dd>A data frame or tibble of the training data.</dd>
<dt>quant</dt>
<dd>A logical indicating whether the data is expected to be numeric
(TRUE) or a factor/character (FALSE). Is ignored if <code>types</code> is specified.</dd>
<dt>types</dt>
<dd>Character vector of allowed types. Following the same types as
<code>has_role()</code>. See details for more.</dd></dl>

Arguments

Quantitatively check on variables — check_type

<dl>

<dt>dat</dt>
<dd>A data frame or tibble of the training data.</dd>


<dt>quant</dt>
<dd>A logical indicating whether the data is expected to be numeric
(TRUE) or a factor/character (FALSE). Is ignored if <code>types</code> is specified.</dd>


<dt>types</dt>
<dd>Character vector of allowed types. Following the same types as
<code>has_role()</code>. See details for more.</dd>

</dl>

check_type: Quantitatively check on variables

Description

Usage

Arguments

Details

See Also