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Improved FarmDynR package with capacity for FADN data and useful functions for results analysis
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Fixed typos, added imports, updated README and DESCRIPTION  
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<meta property="og:description" content="This package allows the user to run FarmDyn from R, create sample farms from FADN data for use in FarmDyn, and includes useful functions to work with the results from FarmDyn.">
Hugo Scherer's avatar
Improved FarmDynR package with capacity for FADN data and useful functions for results analysis
Hugo Scherer committed
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Fixed typos, added imports, updated README and DESCRIPTION  
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        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.5.0</span>
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Improved FarmDynR package with capacity for FADN data and useful functions for results analysis
Hugo Scherer committed
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<div class="page-header"><h1 id="farmdynr">FarmDynR<a class="anchor" aria-label="anchor" href="#farmdynr"></a>
</h1></div>
<p>Developed by Hugo Scherer and Marc Müller at Wageningen Economic Research.</p>
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<p>The goal of FarmDynR is to give the user the ability to aggregate FADN data to create representative farms for any grouping available, generate descriptive statistics, and to run FarmDyn from R.</p>
<div class="section level2">
<h2 id="requirements">Requirements<a class="anchor" aria-label="anchor" href="#requirements"></a>
</h2>
<p>This package requires that you have GAMS and FarmDyn installed. Additionally, the package imports from: - gdxrrw (remember to load GAMS with <code>igdx()</code> with the path to your version of GAMS) - readr - dplyr - tidyr - readxl</p>
<p>It also suggests: - stringr</p>
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<h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
</h2>
<p>You can install the development version of FarmDynR like so:</p>
<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span> <span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">'https://gitlab.iiasa.ac.at/mind-step/FarmDynR'</span><span class="op">)</span></span></code></pre></div>
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<h2 id="workflow">Workflow<a class="anchor" aria-label="anchor" href="#workflow"></a>
</h2>
<p>The workflow for this package is as follows: 1. Read the FADN data into R 2. Run <code><a href="reference/fadn2fd.html">fadn2fd()</a></code> with the FADN data, farmbranch desired, the mapping and the option to save GDX files based on the mapping - Yields will be calculated and the FADN data will be prepared - Outliers are removed 3. Write batch file with <code><a href="reference/writeBatch.html">writeBatch()</a></code> and run FarmDyn with <code><a href="reference/runFarmDynfromBatch.html">runFarmDynfromBatch()</a></code> using the created batch file - Optional: Create descriptive statistics for reporting with <code><a href="reference/fd_desc.html">fd_desc()</a></code> with the farmbranch</p>
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<h2 id="example">Example<a class="anchor" aria-label="anchor" href="#example"></a>
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<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://www.wur.nl/" class="external-link">FarmDynR</a></span><span class="op">)</span></span>
<span></span>
<span><span class="co"># Read in FADN data</span></span>
<span><span class="va">fadn</span> <span class="op">&lt;-</span> <span class="fu">read_fadn</span><span class="op">(</span><span class="st">"path/to/fadn/data"</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># Create mapping</span></span>
<span><span class="va">mapping</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"NUTS0"</span>, <span class="st">"misc%OrganicCode"</span><span class="op">)</span>, <span class="st">"NUTS0"</span>, <span class="st">"NUTS2"</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># Create FarmDyn data</span></span>
<span><span class="va">fd_data</span> <span class="op">&lt;-</span> <span class="fu"><a href="reference/fadn2fd.html">fadn2fd</a></span><span class="op">(</span><span class="va">fadn</span>, <span class="st">"Dairy"</span>, <span class="va">mapping</span>, save_gdx <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># Write batch file</span></span>
<span><span class="fu"><a href="reference/writeBatch.html">writeBatch</a></span><span class="op">(</span><span class="va">fd_data</span>, <span class="st">"path/to/batch/file"</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># Run FarmDyn</span></span>
<span><span class="fu"><a href="reference/runFarmDynfromBatch.html">runFarmDynfromBatch</a></span><span class="op">(</span><span class="st">"path/to/batch/file"</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># Create descriptive statistics</span></span>
<span><span class="fu"><a href="reference/fd_desc.html">fd_desc</a></span><span class="op">(</span><span class="va">fd_data</span><span class="op">)</span></span></code></pre></div>
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<li><small>GPL (&gt;= 3)</small></li>
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<li>Hugo Scherer <br><small class="roles"> Author, maintainer </small>  </li>
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