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<a class="dropdown-item" href="../articles/prebuilt/2022_dmta_parent.html">Testing hierarchical parent degradation kinetics with residue data on dimethenamid and dimethenamid-P</a>
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<img src="" class="logo" alt=""><h1>Subsetting method for mmkin objects</h1>
<small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/mmkin.R" class="external-link"><code>R/mmkin.R</code></a></small>
<div class="d-none name"><code>Extract.mmkin.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>Subsetting method for mmkin objects</p>
</div>
<div class="section level2">
<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
<div class="sourceCode"><pre><code># S3 method for mmkin
[(x, i, j, ..., drop = FALSE)</code></pre></div>
</div>
<div class="section level2">
<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
<dl><dt>x</dt>
<dd><p>An <code><a href="mmkin.html">mmkin</a> object</code></p></dd>
<dt>i</dt>
<dd><p>Row index selecting the fits for specific models</p></dd>
<dt>j</dt>
<dd><p>Column index selecting the fits to specific datasets</p></dd>
<dt>...</dt>
<dd><p>Not used, only there to satisfy the generic method definition</p></dd>
<dt>drop</dt>
<dd><p>If FALSE, the method always returns an mmkin object, otherwise
either a list of mkinfit objects or a single mkinfit object.</p></dd>
</dl></div>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
<p>An object of class <code><a href="mmkin.html">mmkin</a></code>.</p>
</div>
<div class="section level2">
<h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
<p>Johannes Ranke</p>
</div>
<div class="section level2">
<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
<span class="r-in"><span> <span class="co"># Only use one core, to pass R CMD check --as-cran</span></span></span>
<span class="r-in"><span> <span class="va">fits</span> <span class="op"><-</span> <span class="fu"><a href="mmkin.html">mmkin</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">"SFO"</span>, <span class="st">"FOMC"</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>B <span class="op">=</span> <span class="va">FOCUS_2006_B</span>, C <span class="op">=</span> <span class="va">FOCUS_2006_C</span><span class="op">)</span>,</span></span>
<span class="r-in"><span> cores <span class="op">=</span> <span class="fl">1</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-in"><span> <span class="va">fits</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> <mmkin> object</span>
<span class="r-out co"><span class="r-pr">#></span> Status of individual fits:</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> dataset</span>
<span class="r-out co"><span class="r-pr">#></span> model B C </span>
<span class="r-out co"><span class="r-pr">#></span> FOMC OK OK</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> OK: No warnings</span>
<span class="r-in"><span> <span class="va">fits</span><span class="op">[</span>, <span class="st">"B"</span><span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> <mmkin> object</span>
<span class="r-out co"><span class="r-pr">#></span> Status of individual fits:</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> dataset</span>
<span class="r-out co"><span class="r-pr">#></span> model B </span>
<span class="r-out co"><span class="r-pr">#></span> SFO OK</span>
<span class="r-out co"><span class="r-pr">#></span> FOMC OK</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> OK: No warnings</span>
<span class="r-in"><span> <span class="va">fits</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="st">"B"</span><span class="op">]</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> <mmkin> object</span>
<span class="r-out co"><span class="r-pr">#></span> Status of individual fits:</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> dataset</span>
<span class="r-out co"><span class="r-pr">#></span> model B </span>
<span class="r-out co"><span class="r-pr">#></span> SFO OK</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> OK: No warnings</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span> <span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span></span></span>
<span class="r-in"><span> <span class="co"># This extracts an mkinfit object with lots of components</span></span></span>
<span class="r-in"><span> <span class="va">fits</span><span class="op">[[</span><span class="st">"FOMC"</span>, <span class="st">"B"</span><span class="op">]</span><span class="op">]</span></span></span>
<span class="r-in"><span> <span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> $par</span>
<span class="r-out co"><span class="r-pr">#></span> parent_0 log_alpha log_beta sigma </span>
<span class="r-out co"><span class="r-pr">#></span> 99.666192 2.549850 5.050587 1.890202 </span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> $objective</span>
<span class="r-out co"><span class="r-pr">#></span> [1] 28.58291</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> $convergence</span>
<span class="r-out co"><span class="r-pr">#></span> [1] 0</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> $iterations</span>
<span class="r-out co"><span class="r-pr">#></span> [1] 21</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> $evaluations</span>
<span class="r-out co"><span class="r-pr">#></span> function gradient </span>
<span class="r-out co"><span class="r-pr">#></span> 25 78 </span>
<span class="r-out co"><span class="r-pr">#></span> </span>
<span class="r-out co"><span class="r-pr">#></span> $message</span>
<span class="r-out co"><span class="r-pr">#></span> [1] "both X-convergence and relative convergence (5)"</span>
<span class="r-out co"><span class="r-pr">#></span> </span>
</code></pre></div>
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