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12 changes: 6 additions & 6 deletions README.md
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Expand Up @@ -59,23 +59,23 @@ In Octave only, you can get a basic overview of the package and it's functions b

### Quick start

Below are some links to demonstrations of how the bootstrap or randomization functions from this package can be used to perform robust versions of commonly used statistical tests:
Below are some links to demonstrations of how the bootstrap or randomization functions from this package can be used to perform variants of the commonly used statistical tests below, but without the Normality assumption:

* [t-test to compare two independent samples (assuming equal variances)](https://gnu-octave.github.io/statistics-resampling/function/boot1way.html#1)

* [t-test to compare two independent samples (assuming equal variances but robust to outliers)](https://gnu-octave.github.io/statistics-resampling/function/boot1way.html#2)

* [t-test to compare two independent samples (not assuming equal variances)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#1)

* [t-test to compare two paired or matching samples (robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#2)
* [t-test to compare two paired or matching samples (also robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#2)

* [One-way ANOVA to compare more than two independent samples (robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#3)
* [One-way ANOVA to compare more than two independent samples (also robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#3)

* [Nested one-way ANOVA to compare more than two independent samples (robust to heteroscedasticity and grouping of observations)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#11)
* [Nested one-way ANOVA to compare more than two independent samples (also robust to heteroscedasticity and grouping of observations)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#11)

* [Two-way factorial ANOVA (robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#6)
* [Two-way factorial ANOVA (also robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#6)

* [One-way ANCOVA (robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#7)
* [One-way ANCOVA (also robust to heteroscedasticity)](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#7)

### Issues

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4 changes: 2 additions & 2 deletions docs/function/boot1way.html
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Expand Up @@ -528,7 +528,7 @@ <h3><a name="7">Demonstration 7</a></h3>
-----------------------------------------------------------------------------
| Comparison | Test # | Ref # | Difference | t | p |
|------------|------------|------------|------------|------------|----------|
| 1 | 2 | 1 | -0.9299 | -2.19 | .083 |
| 1 | 2 | 1 | +0.5927 | +1.34 | .192 |

-----------------------------------------------------------------------------
| GROUP # | GROUP label | N |
Expand Down Expand Up @@ -573,7 +573,7 @@ <h3><a name="8">Demonstration 8</a></h3>
-----------------------------------------------------------------------------
| Comparison | Test # | Ref # | Difference | t | p |
|------------|------------|------------|------------|------------|----------|
| 1 | 2 | 1 | -0.6290 | -0.95 | .322 |
| 1 | 2 | 1 | +0.06620 | +0.14 | .820 |

-----------------------------------------------------------------------------
| GROUP # | GROUP label | N |
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32 changes: 16 additions & 16 deletions docs/function/bootclust.html
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Expand Up @@ -170,11 +170,11 @@ <h3><a name="1">Demonstration 1</a></h3>
Resampling method: Balanced, bootstrap cluster resampling
Number of resamples: 1999
Confidence interval (CI) type: Expanded bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 95% (1.0%, 97.2%)
Nominal coverage (and the percentiles used): 95% (1.1%, 97.2%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+29.65 -7.105e-15 +2.571 +23.47 +34.37</pre>
+29.65 -3.197e-14 +2.564 +23.43 +34.48</pre>
</div>

<h3><a name="2">Demonstration 2</a></h3>
Expand All @@ -200,11 +200,11 @@ <h3><a name="2">Demonstration 2</a></h3>
Resampling method: Balanced, bootstrap cluster resampling
Number of resamples: 1999
Confidence interval (CI) type: Expanded bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 95% (1.0%, 98.6%)
Nominal coverage (and the percentiles used): 95% (1.1%, 98.7%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+29.65 -0.02817 +2.924 +22.64 +35.92</pre>
+29.65 -0.02999 +2.920 +22.64 +35.86</pre>
</div>

<h3><a name="3">Demonstration 3</a></h3>
Expand Down Expand Up @@ -232,7 +232,7 @@ <h3><a name="3">Demonstration 3</a></h3>

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -6.414 +41.56 +97.48 +235.6</pre>
+171.5 -6.379 +42.98 +96.61 +239.1</pre>
</div>

<h3><a name="4">Demonstration 4</a></h3>
Expand Down Expand Up @@ -262,7 +262,7 @@ <h3><a name="4">Demonstration 4</a></h3>

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -9.188 +33.94 +104.4 +216.2</pre>
+171.5 -9.524 +33.03 +106.0 +215.4</pre>
</div>

<h3><a name="5">Demonstration 5</a></h3>
Expand All @@ -285,11 +285,11 @@ <h3><a name="5">Demonstration 5</a></h3>
Resampling method: Balanced, bootstrap cluster resampling
Number of resamples: 1999
Confidence interval (CI) type: Bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 90% (10.7%, 98.4%)
Nominal coverage (and the percentiles used): 90% (12.6%, 98.8%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -6.206 +41.36 +113.7 +256.0</pre>
+171.5 -6.608 +42.24 +117.3 +267.8</pre>
</div>

<h3><a name="6">Demonstration 6</a></h3>
Expand All @@ -314,11 +314,11 @@ <h3><a name="6">Demonstration 6</a></h3>
Resampling method: Balanced, bootstrap cluster resampling
Number of resamples: 1999
Confidence interval (CI) type: Bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 90% (12.7%, 98.6%)
Nominal coverage (and the percentiles used): 90% (13.7%, 98.8%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -9.686 +34.23 +121.6 +233.6</pre>
+171.5 -9.512 +33.09 +125.0 +231.3</pre>
</div>

<h3><a name="7">Demonstration 7</a></h3>
Expand All @@ -344,8 +344,8 @@ <h3><a name="7">Demonstration 7</a></h3>

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
-0.07256 +0.01379 +0.2152 -0.4556 +0.2506
-0.02682 +0.01024 +0.2075 -0.3029 +0.4062</pre>
-0.09767 -0.02694 +0.2484 -0.4705 +0.3481
-0.1495 -0.02999 +0.2569 -0.5599 +0.2306</pre>
</div>

<h3><a name="8">Demonstration 8</a></h3>
Expand All @@ -372,8 +372,8 @@ <h3><a name="8">Demonstration 8</a></h3>

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+0.1431 +0.01975 +0.2204 -0.2553 +0.4740
-0.4819 -0.003192 +0.1504 -0.6087 +0.1700</pre>
-0.07584 -0.03771 +0.2730 -0.5805 +0.2926
-0.05457 -0.05267 +0.3563 -0.6070 +0.5813</pre>
</div>

<h3><a name="9">Demonstration 9</a></h3>
Expand All @@ -400,11 +400,11 @@ <h3><a name="9">Demonstration 9</a></h3>
Resampling method: Balanced, bootstrap cluster resampling
Number of resamples: 1999
Confidence interval (CI) type: Bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 95% (1.9%, 96.9%)
Nominal coverage (and the percentiles used): 95% (1.8%, 96.8%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+0.7764 -0.02490 +0.1436 +0.4011 +0.9949</pre>
+0.7764 -0.02391 +0.1409 +0.4128 +0.9919</pre>
</div>

<p>Package: <a href="../index.html">statistics-resampling</a></p>
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48 changes: 24 additions & 24 deletions docs/function/bootknife.html
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Expand Up @@ -223,11 +223,11 @@ <h3><a name="1">Demonstration 1</a></h3>
Number of resamples (outer): 1999
Number of resamples (inner): 0
Confidence interval (CI) type: Expanded bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 95% (1.4%, 97.4%)
Nominal coverage (and the percentiles used): 95% (1.3%, 97.2%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+29.65 -4.619e-14 +2.674 +23.66 +34.69</pre>
+29.65 -2.842e-14 +2.695 +23.35 +34.56</pre>
</div>

<h3><a name="2">Demonstration 2</a></h3>
Expand All @@ -253,11 +253,11 @@ <h3><a name="2">Demonstration 2</a></h3>
Number of resamples (outer): 1999
Number of resamples (inner): 199
Confidence interval (CI) type: Calibrated percentile
Nominal coverage (and the percentiles used): 95% (1.1%, 97.2%)
Nominal coverage (and the percentiles used): 95% (0.9%, 98.1%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+29.65 +1.776e-14 +2.699 +23.53 +34.56</pre>
+29.65 -1.208e-13 +2.797 +22.95 +35.05</pre>
</div>

<h3><a name="3">Demonstration 3</a></h3>
Expand All @@ -284,11 +284,11 @@ <h3><a name="3">Demonstration 3</a></h3>
Number of resamples (outer): 1999
Number of resamples (inner): 199
Confidence interval (CI) type: Calibrated percentile
Nominal coverage (and the percentiles used): 95% (2.4%, 98.2%)
Nominal coverage (and the percentiles used): 95% (3.0%, 97.7%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+30.86 -0.03345 +2.850 +24.65 +36.91</pre>
+30.86 -0.006010 +2.849 +25.06 +36.65</pre>
</div>

<h3><a name="4">Demonstration 4</a></h3>
Expand Down Expand Up @@ -317,7 +317,7 @@ <h3><a name="4">Demonstration 4</a></h3>

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -6.938 +42.95 +96.71 +237.8</pre>
+171.5 -6.829 +43.16 +95.97 +237.3</pre>
</div>

<h3><a name="5">Demonstration 5</a></h3>
Expand All @@ -341,11 +341,11 @@ <h3><a name="5">Demonstration 5</a></h3>
Number of resamples (outer): 1999
Number of resamples (inner): 0
Confidence interval (CI) type: Bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 90% (13.3%, 98.9%)
Nominal coverage (and the percentiles used): 90% (13.1%, 98.9%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -6.545 +42.93 +117.7 +271.8</pre>
+171.5 -7.292 +43.98 +114.3 +272.9</pre>
</div>

<h3><a name="6">Demonstration 6</a></h3>
Expand All @@ -372,11 +372,11 @@ <h3><a name="6">Demonstration 6</a></h3>
Number of resamples (outer): 1999
Number of resamples (inner): 199
Confidence interval (CI) type: Calibrated percentile (equal-tailed)
Nominal coverage (and the percentiles used): 90% (2.6%, 97.4%)
Nominal coverage (and the percentiles used): 90% (2.3%, 97.7%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -6.888 +45.39 +83.66 +250.1</pre>
+171.5 -6.601 +45.18 +87.67 +255.0</pre>
</div>

<h3><a name="7">Demonstration 7</a></h3>
Expand All @@ -402,11 +402,11 @@ <h3><a name="7">Demonstration 7</a></h3>
Number of resamples (outer): 1999
Number of resamples (inner): 199
Confidence interval (CI) type: Calibrated percentile
Nominal coverage (and the percentiles used): 90% (12.1%, 99.5%)
Nominal coverage (and the percentiles used): 90% (12.9%, 99.5%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+171.5 -7.678 +44.20 +114.0 +277.0</pre>
+171.5 -7.575 +44.09 +115.1 +283.2</pre>
</div>

<h3><a name="8">Demonstration 8</a></h3>
Expand All @@ -433,8 +433,8 @@ <h3><a name="8">Demonstration 8</a></h3>

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+0.1674 -0.008330 +0.2082 -0.1522 +0.5412
-0.06273 +0.03191 +0.3033 -0.5864 +0.3861</pre>
+0.4165 -0.01155 +0.2633 +0.007875 +0.8868
-0.3700 +0.01114 +0.2749 -0.8682 +0.04576</pre>
</div>

<h3><a name="9">Demonstration 9</a></h3>
Expand All @@ -461,11 +461,11 @@ <h3><a name="9">Demonstration 9</a></h3>
Number of resamples (outer): 1999
Number of resamples (inner): 0
Confidence interval (CI) type: Bias-corrected and accelerated (BCa)
Nominal coverage (and the percentiles used): 95% (0.5%, 93.5%)
Nominal coverage (and the percentiles used): 95% (0.6%, 93.8%)

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
+0.7764 -0.007956 +0.1380 +0.3146 +0.9468</pre>
+0.7764 -0.005985 +0.1371 +0.3509 +0.9502</pre>
</div>

<h3><a name="10">Demonstration 10</a></h3>
Expand Down Expand Up @@ -577,13 +577,13 @@ <h3><a name="10">Demonstration 10</a></h3>

Bootstrap Statistics:
original bias std_error CI_lower CI_upper
-16.69 -0.5227 +2.108 -20.27 -12.48
-11.72 -0.3645 +1.850 -14.98 -8.003
-8.061 -0.2629 +1.756 -11.25 -4.436
+0.1048 +0.005499 +0.09200 -0.08304 +0.2818
+0.01034 +0.0007184 +0.006770 -0.001595 +0.02395
+0.06452 +0.002318 +0.01672 +0.03116 +0.09602
+0.001664 +6.690e-06 +0.0007557 +0.0001953 +0.003135</pre>
-16.69 -0.5168 +2.137 -20.46 -12.24
-11.72 -0.3592 +1.862 -15.08 -7.883
-8.061 -0.2570 +1.768 -11.39 -4.467
+0.1048 +0.005554 +0.09117 -0.07452 +0.2804
+0.01034 +0.0007293 +0.006650 -0.002291 +0.02328
+0.06452 +0.002379 +0.01689 +0.03089 +0.09543
+0.001664 +1.194e-06 +0.0007440 +0.0002257 +0.003140</pre>
</div>

<h3><a name="11">Demonstration 11</a></h3>
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2 changes: 1 addition & 1 deletion docs/function/bootmode.html
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Expand Up @@ -151,7 +151,7 @@ <h3><a name="1">Demonstration 1</a></h3>

ans = H1 is 1 with p = 0.001 so reject the null hypothesisthat there is 1 mode

ans = H2 is 0 with p = 0.332 so accept the null hypothesis that there are 2 modes</pre>
ans = H2 is 0 with p = 0.327 so accept the null hypothesis that there are 2 modes</pre>
</div>

<p>Package: <a href="../index.html">statistics-resampling</a></p>
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17 changes: 9 additions & 8 deletions docs/readme.html
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Expand Up @@ -123,8 +123,9 @@ <h3 id="usage">Usage</h3>
href="https://octave.discourse.group/c/help/6">discourse group</a>.</p>
<h3 id="quick-start">Quick start</h3>
<p>Below are some links to demonstrations of how the bootstrap or
randomization functions from this package can be used to perform robust
versions of commonly used statistical tests:</p>
randomization functions from this package can be used to perform
variants of the commonly used statistical tests below, but without the
Normality assumption:</p>
<ul>
<li><p><a
href="https://gnu-octave.github.io/statistics-resampling/function/boot1way.html#1">t-test
Expand All @@ -140,22 +141,22 @@ <h3 id="quick-start">Quick start</h3>
variances)</a></p></li>
<li><p><a
href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#2">t-test
to compare two paired or matching samples (robust to
to compare two paired or matching samples (also robust to
heteroscedasticity)</a></p></li>
<li><p><a
href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#3">One-way
ANOVA to compare more than two independent samples (robust to
ANOVA to compare more than two independent samples (also robust to
heteroscedasticity)</a></p></li>
<li><p><a
href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#11">Nested
one-way ANOVA to compare more than two independent samples (robust to
heteroscedasticity and grouping of observations)</a></p></li>
one-way ANOVA to compare more than two independent samples (also robust
to heteroscedasticity and grouping of observations)</a></p></li>
<li><p><a
href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#6">Two-way
factorial ANOVA (robust to heteroscedasticity)</a></p></li>
factorial ANOVA (also robust to heteroscedasticity)</a></p></li>
<li><p><a
href="https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#7">One-way
ANCOVA (robust to heteroscedasticity)</a></p></li>
ANCOVA (also robust to heteroscedasticity)</a></p></li>
</ul>
<h3 id="issues">Issues</h3>
<p>If you find bugs or have any suggestions, please raise an issue on
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