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update online manual and matlab toolbox with documentation changes
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‎README.html

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@@ -7,7 +7,10 @@ <h2 id="read-me">Read me</h2>
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alt="Documentation" /></a> <a
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href="https://doi.org/10.5281/zenodo.3992392"><img
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src="https://zenodo.org/badge/DOI/10.5281/zenodo.3992392.svg"
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alt="DOI" /></a></p>
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alt="DOI" /></a> <a
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href="https://github.com/gnu-octave/statistics-resampling/"><img
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src="https://img.shields.io/github/stars/gnu-octave/statistics-resampling?label=GitHub%20Repo&amp;style=social"
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alt="GitHub" /></a></p>
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<h3 id="package-maintainer">Package maintainer</h3>
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<p>Andrew Penn (andy.c.penn@gmail.com)</p>
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<h3 id="package-contributors">Package contributors</h3>
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link generator</a> and the statistics-resampling-online Binder
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environment <a
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href="https://github.com/acpennlab/statistics-resampling-online/"><img
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src="https://img.shields.io/github/forks/acpennlab/statistics-resampling-online?label=GitHub%20Repo&amp;style=social" /></a>.
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src="https://img.shields.io/github/stars/acpennlab/statistics-resampling-online?label=GitHub%20Repo&amp;style=social" /></a>.
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Alternatively, you could fork the repository or use it as a template for
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you own GitHub repository. Using Jupyter notebooks, you can also
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integrate use of the statistics-resampling package into your analysis

‎docs/copying.html

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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
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<head>
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<meta http-equiv="content-type" content="text/html; charset=utf-8" />
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<meta name="date" content="2024-06-25"/>
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<meta name="date" content="2024-09-02"/>
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<meta name="generator" content="generate_html 0.3.3" />
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<meta name="author" content="Andrew Penn" />
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<meta name="description" content="A package for statistical analysis using resampling methods." />

‎docs/description.json

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{
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"generator": "generate_html",
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"generator_version": "0.3.3",
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"date_generated": "2024-06-25",
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"date_generated": "2024-09-02",
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"package":
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{
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"name": "statistics-resampling",

‎docs/function/boot.html

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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
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<head>
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<meta http-equiv="content-type" content="text/html; charset=utf-8" />
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<meta name="date" content="2024-06-25"/>
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<meta name="date" content="2024-09-02"/>
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<meta name="generator" content="generate_html 0.3.3" />
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<meta name="author" content="Andrew Penn" />
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<meta name="description" content="A package for statistical analysis using resampling methods." />
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<p>Produces the following output</p>
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<pre class="example">ans =
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119-
Columns 1 through 12:
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Columns 1 through 6:
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2 3 3 2 2 2 1 1 3 1 3 3
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3 1 3 1 2 3 2 2 2 1 2 1
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2 1 3 3 2 1 2 3 1 2 1 2
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3 1 3 1 1 1
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3 1 3 2 1 1
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3 2 2 2 1 3
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Columns 13 through 20:
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Columns 7 through 12:
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2 1 2 2 3 3 1 1
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2 2 3 3 1 1 3 3
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3 1 1 1 2 3 3 1</pre>
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3 3 3 1 3 2
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2 3 1 2 3 1
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2 3 2 1 3 2
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Columns 13 through 18:
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2 2 2 3 1 1
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2 2 1 1 3 3
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3 2 1 3 3 1
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Columns 19 and 20:
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2 1
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2 2
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1 2</pre>
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</div>
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<h3><a name="2">Demonstration 2</a></h3>
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<p>Produces the following output</p>
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<pre class="example">ans =
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Columns 1 through 12:
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Columns 1 through 6:
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2 3 1 2 1 2
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3 1 2 2 1 2
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3 3 1 3 1 2
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Columns 7 through 12:
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3 1 2 3 1 1
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3 1 1 3 1 2
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3 3 2 2 1 2
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2 3 2 2 3 1 3 1 2 2 1 2
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2 1 1 2 3 2 2 1 1 3 3 1
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3 3 1 2 3 1 3 1 2 2 3 2
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Columns 13 through 18:
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148-
Columns 13 through 20:
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3 3 2 2 1 2
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2 3 2 3 1 1
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3 1 1 3 1 2
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2 3 1 2 1 2 3 3
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3 3 1 2 1 1 1 2
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3 1 1 3 3 1 3 2</pre>
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Columns 19 and 20:
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2 2
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3 1
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3 3</pre>
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</div>
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<h3><a name="3">Demonstration 3</a></h3>
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<p>Produces the following output</p>
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<pre class="example">ans =
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Columns 1 through 12:
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Columns 1 through 6:
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3 3 3 3 1 2
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3 1 2 2 3 1
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3 2 3 1 3 1
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Columns 7 through 12:
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3 3 3 3 1 2 3 3 1 1 2 2
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3 1 2 2 3 1 3 1 2 2 3 3
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3 2 3 1 3 1 1 1 3 1 2 3
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3 3 1 1 2 2
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3 1 2 2 3 3
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1 1 3 1 2 3
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Columns 13 through 20:
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Columns 13 through 18:
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1 2 2 2 1 2 1 1
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2 3 3 3 3 1 1 2
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2 1 2 2 2 1 2 1
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1 2 2 2 1 2
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2 3 3 3 3 1
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2 1 2 2 2 1
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Columns 19 and 20:
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1 1
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1 2
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2 1
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ans =
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Columns 1 through 12:
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Columns 1 through 6:
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3 3 3 3 1 2
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3 1 2 2 3 1
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3 2 3 1 3 1
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3 3 3 3 1 2 3 3 1 1 2 2
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3 1 2 2 3 1 3 1 2 2 3 3
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3 2 3 1 3 1 1 1 3 1 2 3
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Columns 7 through 12:
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187-
Columns 13 through 20:
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3 3 1 1 2 2
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3 1 2 2 3 3
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1 1 3 1 2 3
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1 2 2 2 1 2 1 1
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2 3 3 3 3 1 1 2
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2 1 2 2 2 1 2 1
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Columns 13 through 18:
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1 2 2 2 1 2
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2 3 3 3 3 1
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2 1 2 2 2 1
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Columns 19 and 20:
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1 1
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1 2
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2 1
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ans =
194242

195-
Columns 1 through 12:
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Columns 1 through 6:
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3 2 2 3 2 3
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1 3 1 1 2 3
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1 3 3 1 1 1
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Columns 7 through 12:
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1 2 2 3 1 2
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3 3 1 2 1 1
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2 3 2 2 2 1
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Columns 13 through 18:
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3 2 2 3 2 3 1 2 2 3 1 2
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1 3 1 1 2 3 3 3 1 2 1 1
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1 3 3 1 1 1 2 3 2 2 2 1
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3 1 2 3 2 3
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2 1 3 1 1 3
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2 3 3 1 1 2
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Columns 13 through 20:
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Columns 19 and 20:
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3 1 2 3 2 3 2 3
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2 1 3 1 1 3 3 2
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2 3 3 1 1 2 2 1</pre>
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2 3
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3 2
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2 1</pre>
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</div>
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<h3><a name="4">Demonstration 4</a></h3>
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<p>Produces the following output</p>
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<pre class="example">ans =
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44 23 23 36 44 23 44 36 36 23
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36 23 36 23 44 36 36 23 44 44
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36 36 23 44 23 44 23 36 44 44
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Columns 1 through 6:
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44 23 23 36 44 23
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36 23 36 23 44 36
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36 36 23 44 23 44
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Columns 7 through 10:
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44 36 36 23
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36 23 44 44
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23 36 44 44
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ans =
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226-
23 23 23 36 23 23 23 36 36 23
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36 23 36 23 23 36 36 23 23 23
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36 36 23 23 23 23 23 36 23 23</pre>
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Columns 1 through 6:
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23 23 23 36 23 23
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36 23 36 23 23 36
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36 36 23 23 23 23
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Columns 7 through 10:
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23 36 36 23
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36 23 23 23
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23 36 23 23</pre>
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</div>
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<h3><a name="5">Demonstration 5</a></h3>

‎docs/function/boot1way.html

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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
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<meta http-equiv="content-type" content="text/html; charset=utf-8" />
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<meta name="date" content="2024-09-02"/>
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<meta name="generator" content="generate_html 0.3.3" />
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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | +0.1016 | +0.22 | .841 |
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| 1 | 2 | 1 | +0.2109 | +0.68 | .384 |
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |
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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | +0.4970 | +1.08 | .203 |
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| 1 | 2 | 1 | -1.742 | -1.40 | .149 |
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |

‎docs/function/bootbayes.html

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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+184.5 -0.02286 +184.5 1.240 +182.1 +186.9</pre>
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+184.5 +0.01157 +184.5 1.320 +181.8 +187.2</pre>
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</div>
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<h3><a name="2">Demonstration 2</a></h3>
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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+175.5 -0.05767 +175.4 2.381 +171.3 +180.3
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+0.1904 +0.001144 +0.1941 0.07872 +0.03729 +0.3456</pre>
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+175.5 +0.008112 +175.5 2.388 +170.9 +179.9
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+0.1904 -0.0001651 +0.1904 0.07897 +0.03590 +0.3373</pre>
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</div>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/bootcdf.html

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‎docs/function/bootci.html

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<p>Produces the following output</p>
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<pre class="example">ci =
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-0.51985 -0.61493
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0.65497 0.67946</pre>
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-0.35263 -0.73228
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0.36155 0.12062</pre>
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</div>
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<h3><a name="11">Demonstration 11</a></h3>

‎docs/function/bootclust.html

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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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-0.1544 -0.003755 +0.1747 -0.4562 +0.1152
380-
-0.03784 -0.006956 +0.1837 -0.3389 +0.2650</pre>
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+0.3268 -0.01548 +0.2891 -0.2138 +0.7483
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-0.2208 -0.01057 +0.2370 -0.5732 +0.2073</pre>
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</div>
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<h3><a name="8">Demonstration 8</a></h3>
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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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+0.001573 -0.005382 +0.3074 -0.6042 +0.4325
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-0.4440 +0.008856 +0.2004 -0.7395 -0.07342</pre>
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+0.07605 +0.001881 +0.2810 -0.3770 +0.5512
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+0.2486 -0.01034 +0.2385 -0.07577 +0.7367</pre>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootint.html

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