appendInputParams

This internal function appends the input parameters and a unique run code to the data frame of simulation results.
It creates a comprehensive data frame that includes both the results and the parameters used for the simulation,
facilitating easier tracking and analysis of the simulation runs.

internal

Addressing crucial research questions often necessitates a small
sample size due to factors such as distinctive target populations, rarity
of the event under study, time and cost constraints, ethical concerns, or
group-level unit of analysis. Many readily available analytic methods,
however, do not accommodate small sample sizes, and the choice of the best
method can be unclear. The 'npboottprm' package enables the execution of
nonparametric bootstrap tests with pooled resampling to help fill this gap.
Grounded in the statistical methods for small sample size studies detailed
in Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, the
package facilitates a range of statistical tests, encompassing independent
t-tests, paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests.
The nonparboot() function undertakes essential computations, yielding
detailed outputs which include test statistics, effect sizes, confidence
intervals, and bootstrap distributions. Further, 'npboottprm' incorporates
an interactive 'shiny' web application, nonparboot_app(), offering intuitive,
user-friendly data exploration.

Mackson Ncube

npboottprm

Nonparametric Bootstrap Test with Pooled Resampling

mightymetrika, LLC 

appendInputParams function

<dl><dt>df</dt>
<dd>A data frame containing the simulation results.</dd>
<dt>input</dt>
<dd>A list of input parameters used in the simulation, typically sourced from the Shiny app's user inputs.</dd></dl>

Arguments

Append Input Parameters to Data Frame — appendInputParams

<dl>

<dt>df</dt>
<dd>A data frame containing the simulation results.</dd>


<dt>input</dt>
<dd>A list of input parameters used in the simulation, typically sourced from the Shiny app's user inputs.</dd>

</dl>

appendInputParams: Append Input Parameters to Data Frame

Description

Usage

Value

Arguments