reg_bootstrap

Performs a regular bootstrap to generate a distribution of sample
statistics and computes a set of summary statistics: mode, median, mean,
standard deviation, and lower and upper confidence intervals.

Researchers often use the bootstrap to understand a sample drawn
from a population with unknown distribution. The exact bootstrap method is a
practical tool for exploring the distribution of small sample size data. For
a sample of size n, the exact bootstrap method generates the entire space of
n to the power of n resamples and calculates all realizations of the selected
statistic. The 'exactamente' package includes functions for implementing two
bootstrap methods, the exact bootstrap and the regular bootstrap. The
exact_bootstrap() function applies the exact bootstrap method following
methodologies outlined in Kisielinska (2013) <doi:10.1007/s00180-012-0350-0>.
The regular_bootstrap() function offers a more traditional bootstrap approach,
where users can determine the number of resamples. The e_vs_r() function
allows users to directly compare results from these bootstrap methods. To
augment user experience, 'exactamente' includes the function exactamente_app()
which launches an interactive 'shiny' web application. This application
facilitates exploration and comparison of the bootstrap methods, providing
options for modifying various parameters and visualizing results.

Mackson Ncube

exactamente

Explore the Exact Bootstrap Method

mightymetrika, LLC 

reg_bootstrap function

<dl><dt>data</dt>
<dd>A numeric vector of data points.</dd>
<dt>n_bootstraps</dt>
<dd>An integer indicating the number of bootstrap samples to
generate. Default is 10000.</dd>
<dt>anon</dt>
<dd>A function to compute the sample statistic for each bootstrap
sample. Default is the mean function.</dd>
<dt>lb</dt>
<dd>Lower bound for the confidence interval. Default is 0.025.</dd>
<dt>ub</dt>
<dd>Upper bound for the confidence interval. Default is 0.975.</dd>
<dt>density_args</dt>
<dd>Additional arguments to be passed to <code><a href="/link/density?package=exactamente&version=0.1.1" data-mini-rdoc="exactamente::density">density</a></code> function.</dd></dl>

Arguments

Regular Bootstrap with Summary Statistics — reg_bootstrap

<dl>

<dt>data</dt>
<dd>A numeric vector of data points.</dd>


<dt>n_bootstraps</dt>
<dd>An integer indicating the number of bootstrap samples to
generate. Default is 10000.</dd>


<dt>anon</dt>
<dd>A function to compute the sample statistic for each bootstrap
sample. Default is the mean function.</dd>


<dt>lb</dt>
<dd>Lower bound for the confidence interval. Default is 0.025.</dd>


<dt>ub</dt>
<dd>Upper bound for the confidence interval. Default is 0.975.</dd>


<dt>density_args</dt>
<dd>Additional arguments to be passed to <code><a href='https://rdrr.io/r/stats/density.html'>density</a></code> function.</dd>

</dl>

reg_bootstrap: Regular Bootstrap with Summary Statistics

Description

Usage

Value

Arguments

See Also

Examples