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<h1>
</h1>
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<p>This function calls <code>mkinfit</code> on all combinations of models and datasets
specified in its first two arguments.</p>
<pre><span class='fu'>mmkin</span>(<span class='no'>models</span>, <span class='no'>datasets</span>,
<span class='kw'>cores</span> <span class='kw'>=</span> <span class='fu'>round</span>(<span class='fu'>detectCores</span>()/<span class='fl'>2</span>), <span class='kw'>cluster</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='no'>...</span>)</pre>
<h2>Arguments</h2>
<dl class="dl-horizontal">
<dt>models</dt>
<dd>
Either a character vector of shorthand names ("SFO", "FOMC", "DFOP",
"HS", "SFORB"), or an optionally named list of <code>mkinmod</code>
objects.
</dd>
<dt>datasets</dt>
<dd>
An optionally named list of datasets suitable as observed data for
<code>mkinfit</code>.
</dd>
<dt>cores</dt>
<dd>
The number of cores to be used for multicore processing. This is only
used when the <code>cluster</code> argument is <code>NULL</code>.
</dd>
<dt>cluster</dt>
<dd>
A cluster as returned by <code>makeCluster</code> to be used for parallel
execution.
</dd>
<dt>&#8230;</dt>
<dd>
Further arguments that will be passed to <code>mkinfit</code>.
</dd>
</dl>
<div class="Value">
<h2>Value</h2>
<p>A matrix of <code>mkinfit</code> objects that can be indexed using the model
and dataset names as row and column indices.</p>
</div>
<div class="See also">
<h2>See also</h2>
<p><code>[.mmkin</code> for subsetting, <code>plot.mmkin</code> for plotting.</p>
</div>
<h2 id="examples">Examples</h2>
<pre class="examples"><div class='input'><span class='co'>## Not run: ------------------------------------</span>
<span class='co'># m_synth_SFO_lin <- mkinmod(parent = mkinsub("SFO", "M1"),</span>
<span class='co'># M1 = mkinsub("SFO", "M2"),</span>
<span class='co'># M2 = mkinsub("SFO"), use_of_ff = "max")</span>
<span class='co'># </span>
<span class='co'># m_synth_FOMC_lin <- mkinmod(parent = mkinsub("FOMC", "M1"),</span>
<span class='co'># M1 = mkinsub("SFO", "M2"),</span>
<span class='co'># M2 = mkinsub("SFO"), use_of_ff = "max")</span>
<span class='co'># </span>
<span class='co'># models <- list(SFO_lin = m_synth_SFO_lin, FOMC_lin = m_synth_FOMC_lin)</span>
<span class='co'># datasets <- lapply(synthetic_data_for_UBA_2014[1:3], function(x) x$data)</span>
<span class='co'># names(datasets) <- paste("Dataset", 1:3)</span>
<span class='co'># </span>
<span class='co'># time_default <- system.time(fits.0 <- mmkin(models, datasets))</span>
<span class='co'># time_1 <- system.time(fits.1 <- mmkin(models, datasets, cores = 1))</span>
<span class='co'># </span>
<span class='co'># time_default</span>
<span class='co'># time_1</span>
<span class='co'># </span>
<span class='co'># endpoints(fits[["SFO_lin", 2]])</span>
<span class='co'># </span>
<span class='co'># # Plot.mkinfit handles rows or columns of mmkin result objects</span>
<span class='co'># plot(fits.0[1, ])</span>
<span class='co'># plot(fits.0[1, ], obs_var = c("M1", "M2"))</span>
<span class='co'># plot(fits.0[, 1])</span>
<span class='co'># # Use double brackets to extract a single mkinfit object, which will be plotted</span>
<span class='co'># # by plot.mkinfit</span>
<span class='co'># plot(fits.0[[1, 1]], sep_obs = TRUE, show_residuals = TRUE, show_errmin = TRUE)</span>
<span class='co'># # Plotting with mmkin (single brackets, extracting an mmkin object) does not</span>
<span class='co'># # allow to plot the observed variables separately</span>
<span class='co'># plot(fits.0[1, 1])</span>
<span class='co'>## ---------------------------------------------</span></div></pre>
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<h2>Author</h2>
Johannes Ranke
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