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    <h1>Plot predicted versus observed counts</h1>
    <small class="dont-index">Source: <a href="https://github.com/Pakillo/BayesianNetworks/blob/HEAD/R/plot_counts_pred_obs.R" class="external-link"><code>R/plot_counts_pred_obs.R</code></a></small>
    <div class="hidden name"><code>plot_counts_pred_obs.Rd</code></div>
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    <div class="ref-description">
    <p>Plot predicted versus observed counts</p>
    </div>

    <div id="ref-usage">
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_counts_pred_obs</span><span class="op">(</span></span>
<span>  pred.df <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span>  data <span class="op">=</span> <span class="cn">NULL</span>,</span>
<span>  byplant <span class="op">=</span> <span class="cn">FALSE</span>,</span>
<span>  width <span class="op">=</span> <span class="fl">0.95</span>,</span>
<span>  <span class="va">...</span></span>
<span><span class="op">)</span></span></code></pre></div>
    </div>

    <div id="arguments">
    <h2>Arguments</h2>
    <dl><dt>pred.df</dt>
<dd><p>A data frame containing the predicted counts, as generated by
<code><a href="predict_counts.html">predict_counts()</a></code></p></dd>


<dt>data</dt>
<dd><p>Data list (from <code><a href="prepare_data.html">prepare_data()</a></code>)</p></dd>


<dt>byplant</dt>
<dd><p>Logical. If TRUE, show predicted and observed counts per plant
(using <code><a href="https://ggplot2.tidyverse.org/reference/facet_wrap.html" class="external-link">ggplot2::facet_wrap()</a></code>). If FALSE, show all interactions in the same plot.</p></dd>


<dt>width</dt>
<dd><p>width of the credible interval (default = 0.95).</p></dd>


<dt>...</dt>
<dd><p>Further arguments to be passed to <code><a href="https://ggplot2.tidyverse.org/reference/facet_wrap.html" class="external-link">ggplot2::facet_wrap()</a></code> if
<code>byplant = TRUE</code>, or to <code><a href="http://mjskay.github.io/ggdist/reference/geom_pointinterval.html" class="external-link">tidybayes::geom_pointinterval()</a></code> if <code>byplant = FALSE</code>.</p></dd>

</dl></div>
    <div id="value">
    <h2>Value</h2>
    

<p>A ggplot object</p>
    </div>

    <div id="ref-examples">
    <h2>Examples</h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># interactive()</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">web</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">dt</span> <span class="op">&lt;-</span> <span class="fu"><a href="prepare_data.html">prepare_data</a></span><span class="op">(</span>mat <span class="op">=</span> <span class="va">web</span>, sampl.eff <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">20</span>, <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">nrow</a></span><span class="op">(</span><span class="va">web</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu"><a href="fit_model.html">fit_model</a></span><span class="op">(</span><span class="va">dt</span>, refresh <span class="op">=</span> <span class="fl">0</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">pred.df</span> <span class="op">&lt;-</span> <span class="fu"><a href="predict_counts.html">predict_counts</a></span><span class="op">(</span><span class="va">fit</span>, <span class="va">dt</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu">plot_counts_pred_obs</span><span class="op">(</span><span class="va">pred.df</span>, <span class="va">dt</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu">plot_counts_pred_obs</span><span class="op">(</span><span class="va">pred.df</span>, <span class="va">dt</span>, fatten_point <span class="op">=</span> <span class="fl">3</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu">plot_counts_pred_obs</span><span class="op">(</span><span class="va">pred.df</span>, <span class="va">dt</span>, byplant <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu">plot_counts_pred_obs</span><span class="op">(</span><span class="va">pred.df</span>, <span class="va">dt</span>, byplant <span class="op">=</span> <span class="cn">TRUE</span>, scale <span class="op">=</span> <span class="st">"free"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="op">}</span></span></span>
</code></pre></div>
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