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3 changes: 2 additions & 1 deletion README.md
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[![License](https://img.shields.io/pypi/l/biostatistics)](https://github.com/hikarimusic/BIOSTATS/blob/main/LICENSE)
[![Tests](https://github.com/hikarimusic/BIOSTATS/workflows/CI/badge.svg)](https://github.com/hikarimusic/BIOSTATS/actions)
[![Downloads](https://img.shields.io/github/downloads/hikarimusic/BIOSTATS/total.svg)](https://github.com/hikarimusic/BIOSTATS/releases)
[![DOI](https://zenodo.org/badge/474227681.svg)](https://zenodo.org/doi/10.5281/zenodo.10550105)

# __What is BIOSTATS__

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If you use BIOSTATS in your research, it's a good idea to cite the paper of BIOSTATS.

* Citation: _working_
* Citation: Tung, Yeu-Guang (2022). BIOSTATS: An Intuitive GUI for Biostatistical Analysis. Zenodo. https://doi.org/10.5281/zenodo.10550106

#### __References__:

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.. image:: https://img.shields.io/github/downloads/hikarimusic/BIOSTATS/total.svg
:target: https://github.com/hikarimusic/BIOSTATS/releases

.. image:: https://zenodo.org/badge/474227681.svg
:target: https://zenodo.org/doi/10.5281/zenodo.10550105

|
**What is BIOSTATS**
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If you use BIOSTATS in your research, it’s a good idea to cite the paper
of BIOSTATS.

- Citation: *working*
- Citation: Tung, Yeu-Guang (2022). BIOSTATS: An Intuitive GUI for Biostatistical Analysis. Zenodo. https://doi.org/10.5281/zenodo.10550106

**References**:

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<a class="reference external image-reference" href="https://pypi.org/project/biostatistics/"><img alt="https://img.shields.io/pypi/v/biostatistics" src="https://img.shields.io/pypi/v/biostatistics" /></a>
<a class="reference external image-reference" href="https://github.com/hikarimusic/BIOSTATS/blob/main/LICENSE"><img alt="https://img.shields.io/pypi/l/biostatistics" src="https://img.shields.io/pypi/l/biostatistics" /></a>
<a class="reference external image-reference" href="https://github.com/hikarimusic/BIOSTATS/releases"><img alt="https://img.shields.io/github/downloads/hikarimusic/BIOSTATS/total.svg" src="https://img.shields.io/github/downloads/hikarimusic/BIOSTATS/total.svg" /></a>
<a class="reference external image-reference" href="https://zenodo.org/doi/10.5281/zenodo.10550105"><img alt="https://zenodo.org/badge/474227681.svg" src="https://zenodo.org/badge/474227681.svg" /></a>
<div class="line-block">
<div class="line"><br /></div>
</div>
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<p>If you use BIOSTATS in your research, it’s a good idea to cite the paper
of BIOSTATS.</p>
<ul class="simple">
<li><p>Citation: <em>working</em></p></li>
<li><p>Citation: Tung, Yeu-Guang (2022). BIOSTATS: An Intuitive GUI for Biostatistical Analysis. Zenodo. <a class="reference external" href="https://doi.org/10.5281/zenodo.10550106">https://doi.org/10.5281/zenodo.10550106</a></p></li>
</ul>
</div>
<p><strong>References</strong>:</p>
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10 changes: 5 additions & 5 deletions docs/_build/html/reference/api/biostats.bar_plot.html
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Expand Up @@ -559,19 +559,19 @@ <h1>biostats.bar_plot<a class="headerlink" href="#biostats-bar-plot" title="Perm
<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v1.4.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one numeric column and one categorical column.</p>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one numeric column and one categorical column.</p>
</dd>
<dt><strong>x</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable to be plotted in x-axis. Maximum 20 groups.</p>
<dt><strong>x</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable to be plotted in x-axis. Maximum 20 groups.</p>
</dd>
<dt><strong>y</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The numeric variable to be plotted in y-axis.</p>
<dt><strong>y</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The numeric variable to be plotted in y-axis.</p>
</dd>
<dt><strong>color</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable specifying groups to be plotted with different colors. Maximum 20 groups. Optional.</p>
<dt><strong>color</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable specifying groups to be plotted with different colors. Maximum 20 groups. Optional.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl>
<dt><strong>fig</strong><span class="classifier"><a class="reference external" href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="(in Matplotlib v3.5.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a></span></dt><dd><p>The generated plot.</p>
<dt><strong>fig</strong><span class="classifier"><a class="reference external" href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="(in Matplotlib v3.8.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a></span></dt><dd><p>The generated plot.</p>
</dd>
</dl>
</dd>
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Expand Up @@ -559,19 +559,19 @@ <h1>biostats.binomial_test<a class="headerlink" href="#biostats-binomial-test" t
<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v1.4.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one categorical column. Maximum 500 rows.</p>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one categorical column. Maximum 500 rows.</p>
</dd>
<dt><strong>variable</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable that we want to calculate the proportion of. Maximum 10 groups.</p>
<dt><strong>variable</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable that we want to calculate the proportion of. Maximum 10 groups.</p>
</dd>
<dt><strong>expect</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></a></span></dt><dd><p>The expected proportions of each group. The sum of the proportions will be automatically normalized to 1.</p>
<dt><strong>expect</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></a></span></dt><dd><p>The expected proportions of each group. The sum of the proportions will be automatically normalized to 1.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl>
<dt><strong>summary</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v1.4.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The observed counts and proportions of each group, and the expected counts and proportions of each group.</p>
<dt><strong>summary</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The observed counts and proportions of each group, and the expected counts and proportions of each group.</p>
</dd>
<dt><strong>result</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v1.4.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The p-value of the test.</p>
<dt><strong>result</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The p-value of the test.</p>
</dd>
</dl>
</dd>
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<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v1.4.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one numeric column and one categorical column.</p>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one numeric column and one categorical column.</p>
</dd>
<dt><strong>x</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable to be plotted in x-axis. Maximum 20 groups.</p>
<dt><strong>x</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable to be plotted in x-axis. Maximum 20 groups.</p>
</dd>
<dt><strong>y</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The numeric variable to be plotted in y-axis.</p>
<dt><strong>y</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The numeric variable to be plotted in y-axis.</p>
</dd>
<dt><strong>color</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable specifying groups to be plotted with different colors. Maximum 20 groups. Optional.</p>
<dt><strong>color</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable specifying groups to be plotted with different colors. Maximum 20 groups. Optional.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl>
<dt><strong>fig</strong><span class="classifier"><a class="reference external" href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="(in Matplotlib v3.5.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a></span></dt><dd><p>The generated plot.</p>
<dt><strong>fig</strong><span class="classifier"><a class="reference external" href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="(in Matplotlib v3.8.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a></span></dt><dd><p>The generated plot.</p>
</dd>
</dl>
</dd>
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Expand Up @@ -559,19 +559,19 @@ <h1>biostats.boxen_plot<a class="headerlink" href="#biostats-boxen-plot" title="
<dl class="field-list">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v1.4.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one numeric column and one categorical column.</p>
<dt><strong>data</strong><span class="classifier"><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame" title="(in pandas v2.2.0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></span></dt><dd><p>The input data. Must contain at least one numeric column and one categorical column.</p>
</dd>
<dt><strong>x</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable to be plotted in x-axis. Maximum 20 groups.</p>
<dt><strong>x</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable to be plotted in x-axis. Maximum 20 groups.</p>
</dd>
<dt><strong>y</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The numeric variable to be plotted in y-axis.</p>
<dt><strong>y</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The numeric variable to be plotted in y-axis.</p>
</dd>
<dt><strong>color</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable specifying groups to be plotted with different colors. Maximum 20 groups. Optional.</p>
<dt><strong>color</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a></span></dt><dd><p>The categorical variable specifying groups to be plotted with different colors. Maximum 20 groups. Optional.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl>
<dt><strong>fig</strong><span class="classifier"><a class="reference external" href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="(in Matplotlib v3.5.3)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a></span></dt><dd><p>The generated plot.</p>
<dt><strong>fig</strong><span class="classifier"><a class="reference external" href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure" title="(in Matplotlib v3.8.2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">matplotlib.figure.Figure</span></code></a></span></dt><dd><p>The generated plot.</p>
</dd>
</dl>
</dd>
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