use_contrasts.AsIs

Evaluates <code>code_by</code>, then applies the appropriate use_contrasts method

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

use_contrasts.AsIs function

<dl><dt>factor_col</dt>
<dd>A factor vector, eg from df$factorVarName</dd>
<dt>code_by</dt>
<dd>A symbol to be evaluated</dd>
<dt>reference_level</dt>
<dd>The level to use as the reference level, default NA</dd>
<dt>set_intercept</dt>
<dd>The intercept to use, default NA</dd>
<dt>drop_trends</dt>
<dd>The trends to drop, default NA</dd>
<dt>labels</dt>
<dd>A vector of labels to apply to the matrix column names, default
NULL (no new labels)</dd>
<dt>as_is</dt>
<dd>Logical, default FALSE, whether to leave the resulting matrix
as-is</dd>
<dt>...</dt>
<dd>Additional arguments to be passed on</dd></dl>

Arguments

AsIs method for use_contrasts — use_contrasts.AsIs

<dl>

<dt>factor_col</dt>
<dd>A factor vector, eg from df$factorVarName</dd>


<dt>code_by</dt>
<dd>A symbol to be evaluated</dd>


<dt>reference_level</dt>
<dd>The level to use as the reference level, default NA</dd>


<dt>set_intercept</dt>
<dd>The intercept to use, default NA</dd>


<dt>drop_trends</dt>
<dd>The trends to drop, default NA</dd>


<dt>labels</dt>
<dd>A vector of labels to apply to the matrix column names, default
NULL (no new labels)</dd>


<dt>as_is</dt>
<dd>Logical, default FALSE, whether to leave the resulting matrix
as-is</dd>


<dt>...</dt>
<dd>Additional arguments to be passed on</dd>

</dl>

use_contrasts.AsIs: AsIs method for use_contrasts

Description

Usage

Value

Arguments

Examples