<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>
<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>The workflow for this package is as follows: 1. Read the FADN data into R 2. Run <code><ahref="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><ahref="reference/writeBatch.html">writeBatch()</a></code> and run FarmDyn with <code><ahref="reference/runFarmDynfromBatch.html">runFarmDynfromBatch()</a></code> using the created batch file - Optional: Create descriptive statistics for reporting with <code><ahref="reference/fd_desc.html">fd_desc()</a></code> with the farmbranch</p>
<ul><li>Added a <code>NEWS.md</code> file to track changes to the package.</li>
<li>Added <code><ahref="../reference/str_line_replace.html">str_line_replace()</a></code> and <code><ahref="../reference/writeBatch.html">writeBatch()</a></code> functions</li>
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This function returns the mode of a vector. If the vector contains a character or factor, the most common character/factor is returned. Numbers written as characters will be compatible with non-character numbers (i.e. doubles/numeric), but the function returns a character."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js"integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k="crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js"integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA="crossorigin="anonymous"></script><!--[if lt IE 9]>
<p>This function returns the mode of a vector. If the vector contains a character or factor, the most common character/factor is returned. Numbers written as characters will be compatible with non-character numbers (i.e. doubles/numeric), but the function returns a character.</p>
<p>This function returns the mode of a vector. If the vector contains a character or factor, the most common character/factor is returned. Numbers written as characters will be compatible with non-character numbers (i.e. doubles/numeric), but the function returns a character.</p>
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<p>`fd_desc()` calculates the descriptive statistics of the farm data</p>
</div>
<divid="ref-usage">
<divclass="sourceCode"><preclass="sourceCode r"><code><span><spanclass="fu">fd_desc</span><spanclass="op">(</span><spanclass="va">farm_data</span>, type <spanclass="op">=</span><spanclass="fu"><ahref="https://rdrr.io/r/base/c.html"class="external-link">c</a></span><spanclass="op">(</span><spanclass="st">"arable"</span>, <spanclass="st">"dairy"</span><spanclass="op">)</span>, csv <spanclass="op">=</span><spanclass="cn">FALSE</span>, dir <spanclass="op">=</span><spanclass="cn">NULL</span><spanclass="op">)</span></span></code></pre></div>
</div>
<divid="arguments">
<h2>Arguments</h2>
<dl><dt>farm_data</dt>
<dd><p>A dataframe with the p_farmData</p></dd>
<dt>type</dt>
<dd><p>Type of farm data to analyse (Dairy or Arable farms)</p></dd>
<dt>csv</dt>
<dd><p>Logical. If TRUE, it saves the results as a csv</p></dd>
</dl></div>
<divid="value">
<h2>Value</h2>
<p>A dataframe with the descriptive statistics</p>
<!-- Generated by pkgdown: do not edit by hand --><htmllang="en"><head><metahttp-equiv="Content-Type"content="text/html; charset=UTF-8"><metacharset="utf-8"><metahttp-equiv="X-UA-Compatible"content="IE=edge"><metaname="viewport"content="width=device-width, initial-scale=1.0"><title>`first_match_col()` finds the first matching column in a dataframe — first_match_col • FarmDynR</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js"integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo="crossorigin="anonymous"></script><!-- Bootstrap --><linkrel="stylesheet"href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css"integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE="crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js"integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4="crossorigin="anonymous"></script><!-- bootstrap-toc --><linkrel="stylesheet"href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><linkrel="stylesheet"href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css"integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk="crossorigin="anonymous"><linkrel="stylesheet"href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css"integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw="crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js"integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI="crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js"integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0="crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js"integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4="crossorigin="anonymous"></script><!-- pkgdown --><linkhref="../pkgdown.css"rel="stylesheet"><script src="../pkgdown.js"></script><metaproperty="og:title"content="`first_match_col()` finds the first matching column in a dataframe — first_match_col"><metaproperty="og:description"content="`first_match_col()` finds the first matching column in a dataframe"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js"integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k="crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js"integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA="crossorigin="anonymous"></script><!--[if lt IE 9]>
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Then the data is widened, and the output is a tibble.
The `gdxbinwider()` function takes in a GDX file with BIN data as parameters p_farmData_NL and p_farmData2GUI, and a mapping as a set.
Then the data is widened, and the output is a tibble."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js"integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k="crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js"integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA="crossorigin="anonymous"></script><!--[if lt IE 9]>
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`gdxload()` is a wrapper for gdxrrw::rgdx. It fixes the issue of having all UELs as factor levels for variables for which they do not belong."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js"integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k="crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js"integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA="crossorigin="anonymous"></script><!--[if lt IE 9]>
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We would like to thank the R GAMS team for this useful function.
`gdxreshape()` formats the data to be saved in GDX into long format. It is imported from the gdxrrw package with a few improvements for performance and usability, since there is a risk of it being removed from the gdxrrw package in the future.
We would like to thank the R GAMS team for this useful function."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js"integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k="crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js"integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA="crossorigin="anonymous"></script><!--[if lt IE 9]>
<p>`gdxreshape()` formats the data to be saved in GDX into long format. It is imported from the gdxrrw package with a few improvements for performance and usability, since there is a risk of it being removed from the gdxrrw package in the future.
We would like to thank the R GAMS team for this useful function.</p>
<p>`gdxreshape()` formats the data to be saved in GDX into long format. It is imported from the gdxrrw package with a few improvements for performance and usability, since there is a risk of it being removed from the gdxrrw package in the future.
We would like to thank the R GAMS team for this useful function.</p>