.cols_where

Helper to avoid the use of tidyselect and dplyr::select, returns either a
logical vector (optionally named) or a character vector of which columns
satisfy the given function

internal

Quickly set and summarize contrasts for factors prior to regression analyses. Intended comparisons, baseline conditions, and intercepts can be explicitly set and documented without the user needing to directly manipulate matrices. Reviews and introductions for contrast coding are available in Brehm and Alday (2022)<doi:10.1016/j.jml.2022.104334> and Schad et al. (2020)<doi:10.1016/j.jml.2019.104038>.

Thomas Sostarics

contrastable

Consistent Contrast Coding for Factors

.cols_where function

<dl><dt>model_data</dt>
<dd>Model data</dd>
<dt>fx</dt>
<dd>Function to apply, must be something that returns a logical value.
Usually either <code>is.factor</code> or <code>is.ordered</code></dd>
<dt>use_names</dt>
<dd>Whether the resulting vector should be named</dd>
<dt>return_names</dt>
<dd>Whether names (where the fx returns TRUE) should be
returned instead of a logical vector. Overwrites use.names.</dd></dl>

Arguments

Get columns where — .cols_where

<dl>

<dt>model_data</dt>
<dd>Model data</dd>


<dt>fx</dt>
<dd>Function to apply, must be something that returns a logical value.
Usually either <code>is.factor</code> or <code>is.ordered</code></dd>


<dt>use_names</dt>
<dd>Whether the resulting vector should be named</dd>


<dt>return_names</dt>
<dd>Whether names (where the fx returns TRUE) should be
returned instead of a logical vector. Overwrites use.names.</dd>

</dl>

.cols_where: Get columns where

Description

Usage

Value

Arguments