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update online manual ahead of imminent release of version 5.6.0
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‎README.html

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@@ -33,10 +33,11 @@ <h3 id="description">Description</h3>
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toolbox that can be used to perform a wide variety of statistics tasks
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using non-parametric resampling methods. In particular, the functions
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included can be used to estimate bias, uncertainty (standard errors and
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confidence intervals), prediction error, and calculate <em>p</em>-values
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for null hypothesis significance tests. Variations of the resampling
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methods are included that improve the accuracy of the statistics for
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small samples and samples with complex dependence structures.</p>
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confidence intervals), prediction error, information criteria, and
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calculate <em>p</em>-values for null hypothesis significance tests.
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Variations of the resampling methods are included that improve the
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accuracy of the statistics for small samples and samples with complex
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dependence structures.</p>
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<h3 id="using-the-statistics-resampling-package-online">Using the
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statistics-resampling package online</h3>
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<p>Try out the statistics-resampling package in your browser at <a
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href="https://gnu-octave.github.io/statistics-resampling/function/sampszcalc.html#6">Correcting
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sample size calculations for a two-sample test with nested
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design</a></p></li>
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<li><p><a
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href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#15">Comparing
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linear models using bootstrap estimates of prediction error, information
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criteria and relative likelihood</a></p></li>
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</ul>
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<p>For examples of how to import data sets from a human-readable text
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file, like a tab-separated-value (TSV) and comma-separated-value (CSV)

‎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="2024-06-04"/>
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<meta name="date" content="2024-06-17"/>
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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": "2024-06-04",
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"date_generated": "2024-06-17",
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"package":
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{
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"name": "statistics-resampling",
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"version": "5.5.18",
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"description": "The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, and calculate p-values for null hypothesis significance tests. Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures.",
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"version": "5.6.0",
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"description": "The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, information criteria, and calculate p-values for null hypothesis significance tests. Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures.",
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"shortdescription": "The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods",
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"date": "2024-06-04",
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"date": "2024-06-17",
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"title": "A statistics package with a variety of resampling tools",
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"author": "Andrew Penn <andy.c.penn@gmail.com>",
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"maintainer": "Andrew Penn <andy.c.penn@gmail.com>",

‎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="2024-06-04"/>
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<meta name="date" content="2024-06-17"/>
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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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Columns 1 through 11:
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Columns 1 through 12:
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2 3 3 2 2 2 1 1 3 1 3
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3 1 3 1 2 3 2 2 2 1 2
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2 1 3 3 2 1 2 3 1 2 1
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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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Columns 12 through 20:
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Columns 13 through 20:
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3 2 1 2 2 3 3 1 1
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1 2 2 3 3 1 1 3 3
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2 3 1 1 1 2 3 3 1</pre>
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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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</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 11:
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Columns 1 through 12:
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2 3 2 2 3 1 3 1 2 2 1
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2 1 1 2 3 2 2 1 1 3 3
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3 3 1 2 3 1 3 1 2 2 3
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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 12 through 20:
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Columns 13 through 20:
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2 2 3 1 2 1 2 3 3
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1 3 3 1 2 1 1 1 2
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2 3 1 1 3 3 1 3 2</pre>
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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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</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 11:
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Columns 1 through 12:
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3 3 3 3 1 2 3 3 1 1 2
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3 1 2 2 3 1 3 1 2 2 3
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3 2 3 1 3 1 1 1 3 1 2
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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 12 through 20:
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Columns 13 through 20:
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2 1 2 2 2 1 2 1 1
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3 2 3 3 3 3 1 1 2
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3 2 1 2 2 2 1 2 1
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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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ans =
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Columns 1 through 11:
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Columns 1 through 12:
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3 3 3 3 1 2 3 3 1 1 2
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3 1 2 2 3 1 3 1 2 2 3
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3 2 3 1 3 1 1 1 3 1 2
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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 12 through 20:
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Columns 13 through 20:
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2 1 2 2 2 1 2 1 1
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3 2 3 3 3 3 1 1 2
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3 2 1 2 2 2 1 2 1
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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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ans =
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Columns 1 through 11:
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Columns 1 through 12:
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3 2 2 3 2 3 1 2 2 3 1
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1 3 1 1 2 3 3 3 1 2 1
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1 3 3 1 1 1 2 3 2 2 2
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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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Columns 12 through 20:
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Columns 13 through 20:
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2 3 1 2 3 2 3 2 3
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1 2 1 3 1 1 3 3 2
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1 2 3 3 1 1 2 2 1</pre>
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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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</div>
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<h3><a name="4">Demonstration 4</a></h3>

‎docs/function/boot1way.html

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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 | -0.3210 | -0.67 | .479 |
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| 1 | 2 | 1 | +0.2983 | +0.76 | .418 |
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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 | +0.7003 | +0.63 | .424 |
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| 1 | 2 | 1 | +0.6071 | +0.72 | .410 |
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |

‎docs/function/bootbayes.html

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‎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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-0.43651 -0.55144
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0.52378 0.24516</pre>
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-0.98411 -0.40983
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0.0042385 0.59364</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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-0.03417 -0.001008 +0.2100 -0.3711 +0.3182
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+0.1006 +0.0007326 +0.1678 -0.1282 +0.4366</pre>
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+0.4343 +0.02138 +0.1987 +0.09026 +0.7387
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-0.04215 -0.01144 +0.1783 -0.2999 +0.2813</pre>
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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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+0.4913 -0.01465 +0.1777 +0.2410 +0.8309</pre>
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-0.3787 -0.01284 +0.2265 -0.7786 -0.03176
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+0.2357 +0.03278 +0.1780 +0.008442 +0.5824</pre>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootint.html

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