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<h1>Calculate the minimum error to assume in order to pass the variance test</h1>
<small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/mkinerrmin.R'><code>R/mkinerrmin.R</code></a></small>
<div class="hidden name"><code>mkinerrmin.Rd</code></div>
</div>
<div class="ref-description">
<p>This function finds the smallest relative error still resulting in passing
the chi-squared test as defined in the FOCUS kinetics report from 2006.</p>
</div>
<pre class="usage"><span class='fu'>mkinerrmin</span><span class='op'>(</span><span class='va'>fit</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span><span class='op'>)</span></pre>
<h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
<table class="ref-arguments">
<colgroup><col class="name" /><col class="desc" /></colgroup>
<tr>
<th>fit</th>
<td><p>an object of class <code><a href='mkinfit.html'>mkinfit</a></code>.</p></td>
</tr>
<tr>
<th>alpha</th>
<td><p>The confidence level chosen for the chi-squared test.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>A dataframe with the following components:</p>
<dt>err.min</dt><dd><p>The
relative error, expressed as a fraction.</p></dd> <dt>n.optim</dt><dd><p>The number of
optimised parameters attributed to the data series.</p></dd> <dt>df</dt><dd><p>The number of
remaining degrees of freedom for the chi2 error level calculations. Note
that mean values are used for the chi2 statistic and therefore every time
point with observed values in the series only counts one time.</p></dd> The
dataframe has one row for the total dataset and one further row for each
observed state variable in the model.
<h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
<p>This function is used internally by <code><a href='summary.mkinfit.html'>summary.mkinfit</a></code>.</p>
<h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
<p>FOCUS (2006) “Guidance Document on Estimating Persistence
and Degradation Kinetics from Environmental Fate Studies on Pesticides in EU
Registration” Report of the FOCUS Work Group on Degradation Kinetics, EC
Document Reference Sanco/10058/2005 version 2.0, 434 pp,
<a href='http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics'>http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a></p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'>
<span class='va'>SFO_SFO</span> <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"m1"</span><span class='op'>)</span>,
m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span>,
use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span>
</div><div class='output co'>#> <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>
<span class='va'>fit_FOCUS_D</span> <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
</div><div class='output co'>#> <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/Round.html'>round</a></span><span class='op'>(</span><span class='fu'>mkinerrmin</span><span class='op'>(</span><span class='va'>fit_FOCUS_D</span><span class='op'>)</span>, <span class='fl'>4</span><span class='op'>)</span>
</div><div class='output co'>#> err.min n.optim df
#> All data 0.0640 4 15
#> parent 0.0646 2 7
#> m1 0.0469 2 8</div><div class='input'><span class='co'># \dontrun{</span>
<span class='va'>fit_FOCUS_E</span> <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_2006_E</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
<span class='fu'><a href='https://rdrr.io/r/base/Round.html'>round</a></span><span class='op'>(</span><span class='fu'>mkinerrmin</span><span class='op'>(</span><span class='va'>fit_FOCUS_E</span><span class='op'>)</span>, <span class='fl'>4</span><span class='op'>)</span>
</div><div class='output co'>#> err.min n.optim df
#> All data 0.1544 4 13
#> parent 0.1659 2 7
#> m1 0.1095 2 6</div><div class='input'><span class='co'># }</span>
</div></pre>
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