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<meta property="og:description" content="This function plots the squared residuals for the specified subset of the
observed variables from an mkinfit object. In addition, one or more dashed
line(s) show the fitted error model. A combined plot of the fitted model
and this error model plot can be obtained with plot.mkinfit
using the argument show_errplot = TRUE." />
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<h1>Function to plot squared residuals and the error model for an mkin object</h1>
<small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/mkinerrplot.R'><code>R/mkinerrplot.R</code></a></small>
<div class="hidden name"><code>mkinerrplot.Rd</code></div>
</div>
<div class="ref-description">
<p>This function plots the squared residuals for the specified subset of the
observed variables from an mkinfit object. In addition, one or more dashed
line(s) show the fitted error model. A combined plot of the fitted model
and this error model plot can be obtained with <code><a href='plot.mkinfit.html'>plot.mkinfit</a></code>
using the argument <code>show_errplot = TRUE</code>.</p>
</div>
<pre class="usage"><span class='fu'>mkinerrplot</span><span class='op'>(</span>
<span class='va'>object</span>,
obs_vars <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>object</span><span class='op'>$</span><span class='va'>mkinmod</span><span class='op'>$</span><span class='va'>map</span><span class='op'>)</span>,
xlim <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1.1</span> <span class='op'>*</span> <span class='fu'><a href='https://rdrr.io/r/base/Extremes.html'>max</a></span><span class='op'>(</span><span class='va'>object</span><span class='op'>$</span><span class='va'>data</span><span class='op'>$</span><span class='va'>predicted</span><span class='op'>)</span><span class='op'>)</span>,
xlab <span class='op'>=</span> <span class='st'>"Predicted"</span>,
ylab <span class='op'>=</span> <span class='st'>"Squared residual"</span>,
maxy <span class='op'>=</span> <span class='st'>"auto"</span>,
legend <span class='op'>=</span> <span class='cn'>TRUE</span>,
lpos <span class='op'>=</span> <span class='st'>"topright"</span>,
col_obs <span class='op'>=</span> <span class='st'>"auto"</span>,
pch_obs <span class='op'>=</span> <span class='st'>"auto"</span>,
frame <span class='op'>=</span> <span class='cn'>TRUE</span>,
<span class='va'>...</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>object</th>
<td><p>A fit represented in an <code><a href='mkinfit.html'>mkinfit</a></code> object.</p></td>
</tr>
<tr>
<th>obs_vars</th>
<td><p>A character vector of names of the observed variables for
which residuals should be plotted. Defaults to all observed variables in
the model</p></td>
</tr>
<tr>
<th>xlim</th>
<td><p>plot range in x direction.</p></td>
</tr>
<tr>
<th>xlab</th>
<td><p>Label for the x axis.</p></td>
</tr>
<tr>
<th>ylab</th>
<td><p>Label for the y axis.</p></td>
</tr>
<tr>
<th>maxy</th>
<td><p>Maximum value of the residuals. This is used for the scaling of
the y axis and defaults to "auto".</p></td>
</tr>
<tr>
<th>legend</th>
<td><p>Should a legend be plotted?</p></td>
</tr>
<tr>
<th>lpos</th>
<td><p>Where should the legend be placed? Default is "topright". Will
be passed on to <code><a href='https://rdrr.io/r/graphics/legend.html'>legend</a></code>.</p></td>
</tr>
<tr>
<th>col_obs</th>
<td><p>Colors for the observed variables.</p></td>
</tr>
<tr>
<th>pch_obs</th>
<td><p>Symbols to be used for the observed variables.</p></td>
</tr>
<tr>
<th>frame</th>
<td><p>Should a frame be drawn around the plots?</p></td>
</tr>
<tr>
<th>...</th>
<td><p>further arguments passed to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></code>.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>Nothing is returned by this function, as it is called for its side
effect, namely to produce a plot.</p>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<div class='dont-index'><p><code><a href='mkinplot.html'>mkinplot</a></code>, for a way to plot the data and the fitted
lines of the mkinfit object.</p></div>
<h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
<p>Johannes Ranke</p>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'>
<span class='co'># \dontrun{</span>
<span class='va'>model</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>, <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><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</span> <span class='op'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>model</span>, <span class='va'>FOCUS_2006_D</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</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'>mkinerrplot</span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
</div><div class='img'><img src='mkinerrplot-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># }</span>
</div></pre>
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