bootstrap_f_sample

This is an internal function used by nonparboot() to perform bootstrap
resampling for F-tests. It is not intended to be called directly by the user.

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 

bootstrap_f_sample function

<dl><dt>x_val</dt>
<dd>A numeric vector of values from the primary variable.</dd>
<dt>y_val</dt>
<dd>A numeric vector of values from the second variable. This
parameter is not used in this function but is included for consistency with
other bootstrap sampling functions.</dd>
<dt>grp_val</dt>
<dd>A factor vector of group labels.</dd>
<dt>grp_sizes</dt>
<dd>A table of group sizes.</dd>
<dt>pre_calc</dt>
<dd>A list containing pre-calculated statistics from the original
data.</dd></dl>

Arguments

Internal Bootstrap Sampling Function for F-tests — bootstrap_f_sample

<dl>

<dt>x_val</dt>
<dd>A numeric vector of values from the primary variable.</dd>


<dt>y_val</dt>
<dd>A numeric vector of values from the second variable. This
parameter is not used in this function but is included for consistency with
other bootstrap sampling functions.</dd>


<dt>grp_val</dt>
<dd>A factor vector of group labels.</dd>


<dt>grp_sizes</dt>
<dd>A table of group sizes.</dd>


<dt>pre_calc</dt>
<dd>A list containing pre-calculated statistics from the original
data.</dd>

</dl>

bootstrap_f_sample: Internal Bootstrap Sampling Function for F-tests

Description

Usage

Value

Arguments