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<h1>Calculated the AIC for a column of an mmkin object</h1>
<div class="hidden name"><code>AIC.mmkin.Rd</code></div>
</div>
<div class="ref-description">
<p>Provides a convenient way to compare different kineti models fitted to the
same dataset.</p>
</div>
<pre class="usage"><span class='co'># S3 method for mmkin</span>
<span class='fu'>AIC</span>(<span class='no'>object</span>, <span class='no'>...</span>, <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>2</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>object</th>
<td><p>An object of class <code><a href='mmkin.html'>mmkin</a></code>, containing only one column.</p></td>
</tr>
<tr>
<th>…</th>
<td><p>For compatibility with the generic method</p></td>
</tr>
<tr>
<th>k</th>
<td><p>As in the generic method</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>As in the generic method (a numeric value for single fits, or a dataframe if
there are several fits in the column).</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'> <span class='no'>f</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'>c</span>(<span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span>),
<span class='fu'>list</span>(<span class='st'>"FOCUS A"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_A</span>,
<span class='st'>"FOCUS C"</span> <span class='kw'>=</span> <span class='no'>FOCUS_2006_C</span>))
<span class='fu'>AIC</span>(<span class='no'>f</span>[<span class='fl'>1</span>, <span class='st'>"FOCUS A"</span>]) <span class='co'># We get a single number for a single fit</span></div><div class='output co'>#> [1] 55.32452</div><div class='input'>
<span class='co'># For FOCUS A, the models fit almost equally well, so the higher the number</span>
<span class='co'># of parameters, the higher (worse) the AIC</span>
<span class='fu'>AIC</span>(<span class='no'>f</span>[, <span class='st'>"FOCUS A"</span>])</div><div class='output co'>#> df AIC
#> SFO 3 55.32452
#> FOMC 4 57.32477
#> DFOP 5 59.32452</div><div class='input'> <span class='fu'>AIC</span>(<span class='no'>f</span>[, <span class='st'>"FOCUS A"</span>], <span class='kw'>k</span> <span class='kw'>=</span> <span class='fl'>0</span>) <span class='co'># If we do not penalize additional parameters, we get nearly the same</span></div><div class='output co'>#> df AIC
#> SFO 3 49.32452
#> FOMC 4 49.32477
#> DFOP 5 49.32452</div><div class='input'>
<span class='co'># For FOCUS C, the more complex models fit better</span>
<span class='fu'>AIC</span>(<span class='no'>f</span>[, <span class='st'>"FOCUS C"</span>])</div><div class='output co'>#> df AIC
#> SFO 3 59.84675
#> FOMC 4 44.70584
#> DFOP 5 29.08369</div></pre>
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<div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
<h2>Contents</h2>
<ul class="nav nav-pills nav-stacked">
<li><a href="#arguments">Arguments</a></li>
<li><a href="#value">Value</a></li>
<li><a href="#examples">Examples</a></li>
</ul>
<h2>Author</h2>
Johannes Ranke
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