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<h1>Subsetting method for mmkin objects</h1>
<small class="dont-index">Source: <a href='http://github.com/jranke/mkin/blob/master/R/mmkin.R'><code>R/mmkin.R</code></a></small>
<div class="hidden name"><code>Extract.mmkin.Rd</code></div>
</div>
<div class="ref-description">
<p>Subsetting method for mmkin objects.</p>
</div>
<pre class="usage"># S3 method for mmkin
[(x, i, j, ..., drop = FALSE)</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>x</th>
<td><p>An <code><a href='mmkin.html'>mmkin</a> object</code></p></td>
</tr>
<tr>
<th>i</th>
<td><p>Row index selecting the fits for specific models</p></td>
</tr>
<tr>
<th>j</th>
<td><p>Column index selecting the fits to specific datasets</p></td>
</tr>
<tr>
<th>...</th>
<td><p>Not used, only there to satisfy the generic method definition</p></td>
</tr>
<tr>
<th>drop</th>
<td><p>If FALSE, the method always returns an mmkin object, otherwise
either a list of mkinfit objects or a single mkinfit object.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>An object of class <code><a href='mmkin.html'>mmkin</a></code>.</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'>
<span class='co'># Only use one core, to pass R CMD check --as-cran</span>
<span class='no'>fits</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>), <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='kw'>B</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_B</span>, <span class='kw'>C</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_C</span>),
<span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)
<span class='no'>fits</span>[<span class='st'>"FOMC"</span>, ]</div><div class='output co'>#> dataset
#> model B C
#> FOMC List,39 List,39
#> attr(,"class")
#> [1] "mmkin"</div><div class='input'> <span class='no'>fits</span>[, <span class='st'>"B"</span>]</div><div class='output co'>#> dataset
#> model B
#> SFO List,39
#> FOMC List,39
#> attr(,"class")
#> [1] "mmkin"</div><div class='input'> <span class='no'>fits</span>[<span class='st'>"SFO"</span>, <span class='st'>"B"</span>]</div><div class='output co'>#> dataset
#> model B
#> SFO List,39
#> attr(,"class")
#> [1] "mmkin"</div><div class='input'>
<span class='fu'><a href='https://rdrr.io/r/utils/head.html'>head</a></span>(
<span class='co'># This extracts an mkinfit object with lots of components</span>
<span class='no'>fits</span><span class='kw'>[[</span><span class='st'>"FOMC"</span>, <span class='st'>"B"</span>]]
)</div><div class='output co'>#> $par
#> parent_0 log_alpha log_beta sigma
#> 99.666193 2.549849 5.050586 1.890202
#>
#> $objective
#> [1] 28.58291
#>
#> $convergence
#> [1] 0
#>
#> $iterations
#> [1] 21
#>
#> $evaluations
#> function gradient
#> 25 72
#>
#> $message
#> [1] "both X-convergence and relative convergence (5)"
#> </div><div class='input'>
</div></pre>
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