customize_summary

Adds standard deviations and removes quantiles from a `summary()` output

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

customize_summary function

<dl><dt>df_summary</dt>
<dd>dataframe containing summary statistics</dd>
<dt>df</dt>
<dd>original data frame</dd>
<dt>numeric_cols</dt>
<dd>indices of the numeric columns</dd>
<dt>factor_cols</dt>
<dd>indices of the factor columns</dd>
<dt>digits</dt>
<dd>controls the number of digits in the output</dd></dl>

Arguments

Customize Summary — customize_summary

<dl>

<dt>df_summary</dt>
<dd>dataframe containing summary statistics</dd>


<dt>df</dt>
<dd>original data frame</dd>


<dt>numeric_cols</dt>
<dd>indices of the numeric columns</dd>


<dt>factor_cols</dt>
<dd>indices of the factor columns</dd>


<dt>digits</dt>
<dd>controls the number of digits in the output</dd>

</dl>

customize_summary: Customize Summary

Description

Usage

Arguments

See Also