trim_sample

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

trim_sample function

<dl><dt>n</dt>
<dd>vector or non-ranged list corresponding to sample structure</dd>
<dt>N</dt>
<dd>vector or non-ranged list corresponding to population structure</dd></dl>

Arguments

Trim sample — trim_sample

<dl>

<dt>n</dt>
<dd>vector or non-ranged list corresponding to sample structure</dd>


<dt>N</dt>
<dd>vector or non-ranged list corresponding to population structure</dd>

</dl>

Trim sample

trim_sample: Trim sample

Description

Usage

Arguments

See Also