SampleCore/README.html at master · aravind-j/SampleCore · GitHub

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<h2 id="samplecore-sampling-strategies-for-constructing-core-collections"><code>SampleCore</code>:
Sampling Strategies for Constructing Core Collections</h2>
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<h6 id="version--010-license-gpl-2gpl-3">Version : <a href="https://aravind-j.github.io/SampleCore/">0.1.0</a>; License: <a href="https://www.r-project.org/Licenses/">GPL-2|GPL-3</a></h6>
<h5 id="aravind-j-roy-suman-and-singh-anju-m"><em>Aravind, J., Roy,
Suman and Singh, Anju M.</em></h5>
<p>Division of Germplasm Conservation, ICAR-National Bureau of Plant
Genetic Resources, New Delhi.</p>
<hr />
<p><a href="https://cran.r-project.org/"><img role="img" aria-label="minimal R version" src="data:image/svg+xml;charset=utf-8;base64,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" alt="minimal R version" /></a> <a href="https://www.gnu.org/licenses/gpl-3.0"><img role="img" aria-label="License: GPL v3" src="data:image/svg+xml;charset=utf-8;base64,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" alt="License: GPL v3" /></a></p>
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<p><a href="https://github.com/aravind-j/SampleCore"><img role="img" aria-label="Github Code Size" src="data:image/svg+xml;charset=utf-8;base64,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" alt="Github Code Size" /></a></p>
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<p><a href="https://www.repostatus.org/#wip"><img role="img" aria-label="Project Status: WIP" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiB3aWR0aD0iMTA2IiBoZWlnaHQ9IjIwIiByb2xlPSJpbWciIGFyaWEtbGFiZWw9InJlcG8gc3RhdHVzOiBXSVAiPjx0aXRsZT5yZXBvIHN0YXR1czogV0lQPC90aXRsZT48bGluZWFyR3JhZGllbnQgaWQ9InMiIHgyPSIwIiB5Mj0iMTAwJSI+PHN0b3Agb2Zmc2V0PSIwIiBzdG9wLWNvbG9yPSIjYmJiIiBzdG9wLW9wYWNpdHk9Ii4xIi8+PHN0b3Agb2Zmc2V0PSIxIiBzdG9wLW9wYWNpdHk9Ii4xIi8+PC9saW5lYXJHcmFkaWVudD48Y2xpcFBhdGggaWQ9InIiPjxyZWN0IHdpZHRoPSIxMDYiIGhlaWdodD0iMjAiIHJ4PSIzIiBmaWxsPSIjZmZmIi8+PC9jbGlwUGF0aD48ZyBjbGlwLXBhdGg9InVybCgjcikiPjxyZWN0IHdpZHRoPSI3MyIgaGVpZ2h0PSIyMCIgZmlsbD0iIzU1NSIvPjxyZWN0IHg9IjczIiB3aWR0aD0iMzMiIGhlaWdodD0iMjAiIGZpbGw9IiNkZmIzMTciLz48cmVjdCB3aWR0aD0iMTA2IiBoZWlnaHQ9IjIwIiBmaWxsPSJ1cmwoI3MpIi8+PC9nPjxnIGZpbGw9IiNmZmYiIHRleHQtYW5jaG9yPSJtaWRkbGUiIGZvbnQtZmFtaWx5PSJWZXJkYW5hLEdlbmV2YSxEZWphVnUgU2FucyxzYW5zLXNlcmlmIiB0ZXh0LXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIiBmb250LXNpemU9IjExMCI+PHRleHQgYXJpYS1oaWRkZW49InRydWUiIHg9IjM3NSIgeT0iMTUwIiBmaWxsPSIjMDEwMTAxIiBmaWxsLW9wYWNpdHk9Ii4zIiB0cmFuc2Zvcm09InNjYWxlKC4xKSIgdGV4dExlbmd0aD0iNjMwIj5yZXBvIHN0YXR1czwvdGV4dD48dGV4dCB4PSIzNzUiIHk9IjE0MCIgdHJhbnNmb3JtPSJzY2FsZSguMSkiIGZpbGw9IiNmZmYiIHRleHRMZW5ndGg9IjYzMCI+cmVwbyBzdGF0dXM8L3RleHQ+PHRleHQgYXJpYS1oaWRkZW49InRydWUiIHg9Ijg4NSIgeT0iMTUwIiBmaWxsPSIjMDEwMTAxIiBmaWxsLW9wYWNpdHk9Ii4zIiB0cmFuc2Zvcm09InNjYWxlKC4xKSIgdGV4dExlbmd0aD0iMjMwIj5XSVA8L3RleHQ+PHRleHQgeD0iODg1IiB5PSIxNDAiIHRyYW5zZm9ybT0ic2NhbGUoLjEpIiBmaWxsPSIjZmZmIiB0ZXh0TGVuZ3RoPSIyMzAiPldJUDwvdGV4dD48L2c+PC9zdmc+" alt="Project Status: WIP" /></a> <a href="https://lifecycle.r-lib.org/articles/stages.html#maturing"><img role="img" aria-label="lifecycle" 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alt="Last-changedate" /></a></p>
<!-- [![Zenodo DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.zenodo.14889174.svg)](https://doi.org/10.5281/zenodo.14889174) -->

<p><a href="https://aravind-j.github.io/SampleCore/"><img role="img" aria-label="Website - pkgdown" src="data:image/svg+xml;charset=utf-8;base64,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" alt="Website - pkgdown" /></a></p>
<!-- [![.](https://pro-pulsar-193905.appspot.com/G-xxxxxxxx/welcome-page)](https://github.com/aravind-j/google-analytics-beacon) -->

<p><a href="https://samplecore-gh.goatcounter.com/"><img role="img" aria-label="GoatCounter" src="data:image/gif;base64,R0lGODlhAQABAIABAAAAAP///yH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" alt="GoatCounter" /></a></p>
<!-- [![packageversion](https://img.shields.io/badge/Package%20version-0.2.3.3-orange.svg)](https://github.com/aravind-j/SampleCore) -->

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<!-- [![Rdoc](http://www.rdocumentation.org/badges/version/SampleCore)](http://www.rdocumentation.org/packages/SampleCore) -->

<hr />
<h2 id="description">Description</h2>
<!-- Implements multiple allocation and selection strategies of      sampling to construct core collections primarily from clustered or grouped      germplasm collection data. Provides methods for allocating entries to      clusters/groups based on group sizes, group-wise distance-based diversity      metrics, and group-wise diversity index estimates. Includes procedures for      selecting entries within clusters/groups through random sampling, genetic      distance-based approaches, and optimized diversity metric–based selection      methods. See the package documentation for more, including full list of      references for the methods implemented. -->

<p>Implements multiple allocation and selection strategies of sampling
to construct core collections primarily from clustered or grouped
germplasm collection data. Provides methods for allocating entries to
clusters/groups based on group sizes, group-wise distance-based
diversity metrics, and group-wise diversity index estimates. Includes
procedures for selecting entries within clusters/groups through random
sampling, genetic distance-based approaches, and optimized diversity
metric–based selection methods. See the package documentation for more,
including full list of references for the methods implemented.</p>
<h2 id="installation">Installation</h2>
<!--
The package can be installed from CRAN as follows:
&#10;
-->

<p>The development version can be installed from github as follows:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" tabindex="-1"></a><span class="co"># Install development version from Github</span></span>
<span id="cb1-2"><a href="#cb1-2" tabindex="-1"></a>devtools<span class="sc">::</span><span class="fu">install_github</span>(<span class="st">&quot;aravind-j/SampleCore&quot;</span>)</span></code></pre></div>
<!-- ## Detailed tutorial
For a detailed tutorial (vignette) on how to used this package type:
&#10;
``` r
browseVignettes(package = 'SampleCore')
```
The vignette for the latest version is also available [online](https://aravind-j.github.io/SampleCore/articles.html).-->

<h2 id="whats-new">What’s new</h2>
<p>To know whats new in this version type:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" tabindex="-1"></a><span class="fu">news</span>(<span class="at">package=</span><span class="st">&#39;SampleCore&#39;</span>)</span></code></pre></div>
<h2 id="links">Links</h2>
<!--[CRAN page](https://cran.r-project.org/package=SampleCore) -->

<p><a href="https://github.com/aravind-j/SampleCore">Github page</a></p>
<p><a href="https://aravind-j.github.io/SampleCore/">Documentation
website</a></p>
<!--[Zenodo DOI](https://doi.org/10.5281/zenodo.14889174) -->

<!--
## CRAN checks
&#10;
&#10;
&#10; [![Linux](https://img.shields.io/badge/Linux-FCC624?style=for-the-badge&logo=linux&logoColor=black)](https://cran.r-project.org/web/checks/check_results_SampleCore.html)
&#10;
+-----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Flavour                           | CRAN check                                                                                                                                                                                                     |
+===================================+================================================================================================================================================================================================================+
| r-devel-linux-x86_64-debian-clang | [![CRAN check -                                                                                                                                                                                                |
|                                   | r-devel-linux-x86_64-debian-clang](https://badges.cranchecks.info/flavor/r-devel-linux-x86_64-debian-clang/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html) |
+-----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| r-devel-linux-x86_64-debian-gcc   | [![CRAN check -                                                                                                                                                                                                |
|                                   | r-devel-linux-x86_64-debian-gcc](https://badges.cranchecks.info/flavor/r-devel-linux-x86_64-debian-gcc/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html)     |
+-----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| r-devel-linux-x86_64-fedora-clang | [![CRAN check -                                                                                                                                                                                                |
|                                   | r-devel-linux-x86_64-fedora-clang](https://badges.cranchecks.info/flavor/r-devel-linux-x86_64-fedora-clang/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html) |
+-----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| r-devel-linux-x86_64-fedora-gcc   | [![CRAN check -                                                                                                                                                                                                |
|                                   | r-devel-linux-x86_64-fedora-gcc](https://badges.cranchecks.info/flavor/r-devel-linux-x86_64-fedora-gcc/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html)     |
+-----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| r-patched-linux-x86_64            | [![CRAN check -                                                                                                                                                                                                |
|                                   | r-patched-linux-x86_64](https://badges.cranchecks.info/flavor/r-patched-linux-x86_64/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html)                       |
+-----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| r-release-linux-x86_64            | [![CRAN check -                                                                                                                                                                                                |
|                                   | r-release-linux-x86_64](https://badges.cranchecks.info/flavor/r-release-linux-x86_64/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html)                       |
+-----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
&#10;
 [![Windows](https://img.shields.io/badge/Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white)](https://cran.r-project.org/web/checks/check_results_SampleCore.html)
&#10;
+--------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Flavour                  | CRAN check                                                                                                                                                                                   |
+==========================+==============================================================================================================================================================================================+
| r-devel-windows-x86_64   | [![CRAN check -                                                                                                                                                                              |
|                          | r-devel-windows-x86_64](https://badges.cranchecks.info/flavor/r-devel-windows-x86_64/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html)     |
+--------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| r-release-windows-x86_64 | [![CRAN check -                                                                                                                                                                              |
|                          | r-release-windows-x86_64](https://badges.cranchecks.info/flavor/r-release-windows-x86_64/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html) |
+--------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| r-oldrel-windows-x86_64  | [![CRAN check -                                                                                                                                                                              |
|                          | r-oldrel-windows-x86_64](https://badges.cranchecks.info/flavor/r-oldrel-windows-x86_64/SampleCore.svg)](https://cran.r-project.org/web/checks/check_results_j.aravind_at_icar.org.in.html)   |
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| Flavour                | CRAN check                                                                                                                                                                               |
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<h2 id="citing-samplecore">Citing <code>SampleCore</code></h2>
<p>To cite the methods in the package use:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" tabindex="-1"></a><span class="fu">citation</span>(<span class="st">&quot;SampleCore&quot;</span>)</span></code></pre></div>
<pre><code>To cite the R package &#39;SampleCore&#39; in publications use:

  Aravind, J., Roy, S., and Singh, A. M. ().  SampleCore: Sampling
  Strategies for Constructing Core Collections. R package version
  0.1.0, https://aravind-j.github.io/SampleCore/.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {SampleCore: Sampling Strategies for Constructing Core Collections},
    author = {J. Aravind and Suman Roy and Anju Mahendru Singh},
    note = {R package version 0.1.0 https://aravind-j.github.io/SampleCore/},
  }

This free and open-source software implements academic research by the
authors and co-workers. If you use it, please support the project by
citing the package.</code></pre>

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