.create_design_matrix

An internal helper function that takes the design specification and a sample
size to generate a single data frame representing all observations for one
simulation run. It handles within-, between-, nested, and crossed factors.

Conduct a priori power analyses via Monte-Carlo style data simulation for linear and generalized linear mixed-effects models (LMMs/GLMMs). Provides a user-friendly workflow with helper functions to easily define fixed and random effects as well as diagnostic functions to evaluate the adequacy of the results of the power analysis.

Markus Grill

PowRPriori

Power Analysis via Data Simulation for (Generalized) Linear
Mixed Effects Models

.create_design_matrix function

<dl><dt>design</dt>
<dd>A <code>PowRPriori_design</code> object from <code>define_design()</code>.</dd>
<dt>current_n</dt>
<dd>The sample size for which the design matrix should be generated.</dd>
<dt>n_is_total</dt>
<dd>A boolean that controls how <code>current_n</code> is interpreted. <code>TRUE</code> assumes that the whole sample used for the simulation should be size
<code>current_n</code>, <code>FALSE</code> assumes that <code>current_n</code> specifies the size of each cell as defined by <code>design</code>.</dd></dl>

Arguments

Create the Design Matrix for a Simulation — .create_design_matrix

<dl>

<dt>design</dt>
<dd>A <code>PowRPriori_design</code> object from <code>define_design()</code>.</dd>


<dt>current_n</dt>
<dd>The sample size for which the design matrix should be generated.</dd>


<dt>n_is_total</dt>
<dd>A boolean that controls how <code>current_n</code> is interpreted. <code>TRUE</code> assumes that the whole sample used for the simulation should be size
<code>current_n</code>, <code>FALSE</code> assumes that <code>current_n</code> specifies the size of each cell as defined by <code>design</code>.</dd>

</dl>

.create_design_matrix: Create the Design Matrix for a Simulation

Description

Usage

Value

Arguments