gen_variable_n

Randomly generate the quantity of background variables

Provides functions to simulate data from large-scale educational
assessments, including background questionnaire data and cognitive item
responses that adhere to a multiple-matrix sampled design. The theoretical
foundation can be found on
Matta, T.H., Rutkowski, L., Rutkowski, D. et al. (2018)
<doi:10.1186/s40536-018-0068-8>.

Waldir Leoncio

lsasim

Functions to Facilitate the Simulation of Large Scale Assessment
Data

Tyler Matta

Leslie Rutkowski

David Rutkowski

Yuan-Ling Linda Liaw

Kondwani Kajera Mughogho

Sinan Yavuz

Paul Bailey

gen_variable_n function

<dl><dt>n_vars</dt>
<dd>number of variables in total (<code>n_X + n_W + theta</code>)</dd>
<dt>n_X</dt>
<dd>number of continuous variables</dd>
<dt>n_W</dt>
<dd>number of categorical variables</dd>
<dt>theta</dt>
<dd>number of latent variables</dd></dl>

Arguments

Randomly generate the quantity of background variables — gen_variable_n

<dl>

<dt>n_vars</dt>
<dd>number of variables in total (<code>n_X + n_W + theta</code>)</dd>


<dt>n_X</dt>
<dd>number of continuous variables</dd>


<dt>n_W</dt>
<dd>number of categorical variables</dd>


<dt>theta</dt>
<dd>number of latent variables</dd>

</dl>

gen_variable_n: Randomly generate the quantity of background variables

Description

Usage

Value

Arguments