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(dplyr::grouped_df objects) such as returned by dplyr::group_by() and
the various grouped-data-aware functions in tidybayes, such as spread_draws(),
gather_draws(), add_epred_draws(), and add_predicted_draws().
This function provides a quick way to get a variety of summary statistics
and diagnostics on draws."><meta property="og:image" content="https://mjskay.github.io/tidybayes/logo.svg"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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    <div class="page-header">
    <h1>Summaries of draws in <code>grouped_df</code> objects</h1>
    <small class="dont-index">Source: <a href="https://github.com/mjskay/tidybayes/blob/HEAD/R/summarise_draws.R" class="external-link"><code>R/summarise_draws.R</code></a></small>
    <div class="hidden name"><code>summarise_draws.grouped_df.Rd</code></div>
    </div>

    <div class="ref-description">
    <p>An implementation of <code><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">posterior::summarise_draws()</a></code> for grouped data frames
(<code><a href="https://dplyr.tidyverse.org/reference/grouped_df.html" class="external-link">dplyr::grouped_df</a></code> objects) such as returned by <code><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">dplyr::group_by()</a></code> and
the various grouped-data-aware functions in tidybayes, such as <code><a href="spread_draws.html">spread_draws()</a></code>,
<code><a href="spread_draws.html">gather_draws()</a></code>, <code><a href="add_predicted_draws.html">add_epred_draws()</a></code>, and <code><a href="add_predicted_draws.html">add_predicted_draws()</a></code>.
This function provides a quick way to get a variety of summary statistics
and diagnostics on draws.</p>
    </div>

    <div id="ref-usage">
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'grouped_df'</span></span>
<span><span class="fu"><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">summarise_draws</a></span><span class="op">(</span><span class="va">.x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
    </div>

    <div id="arguments">
    <h2>Arguments</h2>


<dl><dt id="arg--x">.x<a class="anchor" aria-label="anchor" href="#arg--x"></a></dt>
<dd><p>A grouped data frame (<code><a href="https://dplyr.tidyverse.org/reference/grouped_df.html" class="external-link">dplyr::grouped_df</a></code> object) such as returned by
<code><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">dplyr::group_by()</a></code> where the data frame in each group (ignoring grouping columns)
has the structure of a <code><a href="https://mc-stan.org/posterior/reference/draws_df.html" class="external-link">posterior::draws_df()</a></code> object: <code>".chain"</code>, <code>".iteration"</code>, and
<code>".draw"</code> columns, with the remaining (non-grouping) columns being draws
from variables.</p></dd>


<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
<dd><p>Name-value pairs of summary or <a href="https://mc-stan.org/posterior/reference/diagnostics.html" class="external-link">diagnostic</a>
functions. The provided names will be used as the names of the columns in
the result <em>unless</em> the function returns a named vector, in which case the
latter names are used. The functions can be specified in any format
supported by <a href="https://rlang.r-lib.org/reference/as_function.html" class="external-link">as_function()</a>. See <strong>Examples</strong>.</p></dd>

</dl></div>
    <div id="value">
    <h2>Value</h2>
    <p>A data frame (actually, a <a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a>) with all grouping
columns from <code>.x</code>, a <code>"variable"</code> column containing variable names from <code>.x</code>,
and the remaining columns containing summary statistics and diagnostics.</p>
    </div>
    <div id="details">
    <h2>Details</h2>
    <p>While <code><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">posterior::summarise_draws()</a></code> can operate on tidy data frames of
draws in the <code><a href="https://mc-stan.org/posterior/reference/draws_df.html" class="external-link">posterior::draws_df()</a></code> format, that format does not support
grouping columns. This provides an implementation of <code><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">summarise_draws()</a></code>
that does support grouped data tables, essentially applying
<code><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">posterior::summarise_draws()</a></code> to every sub-table of <code>.x</code> implied by the
groups defined on the data frame.</p>
<p>See <code><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">posterior::summarise_draws()</a></code> for
more details on the summary statistics and diagnostics you can use with this
function. If you just want point summaries and intervals (not diagnostics),
particularly for plotting, see <code><a href="http://mjskay.github.io/ggdist/reference/point_interval.html" class="external-link">point_interval()</a></code>, which returns long-format
data tables more suitable for that purpose (especially if you want to plot
multiple uncertainty levels).</p>
    </div>
    <div id="see-also">
    <h2>See also</h2>
    <div class="dont-index"><p><code><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">posterior::summarise_draws()</a></code>, <code><a href="http://mjskay.github.io/ggdist/reference/point_interval.html" class="external-link">point_interval()</a></code></p></div>
    </div>
    <div id="author">
    <h2>Author</h2>
    <p>Matthew Kay</p>
    </div>

    <div id="ref-examples">
    <h2>Examples</h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://mc-stan.org/posterior/" class="external-link">posterior</a></span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">d</span> <span class="op">=</span> <span class="fu">posterior</span><span class="fu">::</span><span class="fu"><a href="https://mc-stan.org/posterior/reference/example_draws.html" class="external-link">example_draws</a></span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># The default posterior::summarise_draws() summarises all variables without</span></span></span>
<span class="r-in"><span><span class="co"># splitting out indices:</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">summarise_draws</a></span><span class="op">(</span><span class="va">d</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 10 × 10</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>    variable  mean median    sd   mad      q5   q95  rhat ess_bulk ess_tail</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> mu        4.18   4.16  3.40  3.57  -<span style="color: #BB0000;">0.854</span>  9.39  1.02     558.     322.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> tau       4.16   3.07  3.58  2.89   0.309 11.0   1.01     246.     202.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> theta[1]  6.75   5.97  6.30  4.87  -<span style="color: #BB0000;">1.23</span>  18.9   1.01     400.     254.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> theta[2]  5.25   5.13  4.63  4.25  -<span style="color: #BB0000;">1.97</span>  12.5   1.02     564.     372.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> theta[3]  3.04   3.99  6.80  4.94 -<span style="color: #BB0000;">10.3</span>   11.9   1.01     312.     205.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> theta[4]  4.86   4.99  4.92  4.51  -<span style="color: #BB0000;">3.57</span>  12.2   1.02     695.     252.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> theta[5]  3.22   3.72  5.08  4.38  -<span style="color: #BB0000;">5.93</span>  10.8   1.01     523.     306.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> theta[6]  3.99   4.14  5.16  4.81  -<span style="color: #BB0000;">4.32</span>  11.5   1.02     548.     205.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> theta[7]  6.50   5.90  5.26  4.54  -<span style="color: #BB0000;">1.19</span>  15.4   1.00     434.     308.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> theta[8]  4.57   4.64  5.25  4.89  -<span style="color: #BB0000;">3.79</span>  12.2   1.02     355.     146.</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># The grouped_df implementation of summarise_draws() in tidybayes can handle</span></span></span>
<span class="r-in"><span><span class="co"># output from spread_draws(), which is a grouped data table with the indices</span></span></span>
<span class="r-in"><span><span class="co"># (here, `i`) left as columns:</span></span></span>
<span class="r-in"><span><span class="va">d</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span>  <span class="fu"><a href="spread_draws.html">spread_draws</a></span><span class="op">(</span><span class="va">theta</span><span class="op">[</span><span class="va">i</span><span class="op">]</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span>  <span class="fu"><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">summarise_draws</a></span><span class="op">(</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 8 × 11</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups:   i [8]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       i variable  mean median    sd   mad     q5   q95  rhat ess_bulk ess_tail</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span>     1 theta     6.75   5.97  6.30  4.87  -<span style="color: #BB0000;">1.23</span>  18.9  1.01     400.     254.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span>     2 theta     5.25   5.13  4.63  4.25  -<span style="color: #BB0000;">1.97</span>  12.5  1.02     564.     372.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span>     3 theta     3.04   3.99  6.80  4.94 -<span style="color: #BB0000;">10.3</span>   11.9  1.01     312.     205.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span>     4 theta     4.86   4.99  4.92  4.51  -<span style="color: #BB0000;">3.57</span>  12.2  1.02     695.     252.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span>     5 theta     3.22   3.72  5.08  4.38  -<span style="color: #BB0000;">5.93</span>  10.8  1.01     523.     306.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span>     6 theta     3.99   4.14  5.16  4.81  -<span style="color: #BB0000;">4.32</span>  11.5  1.02     548.     205.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">7</span>     7 theta     6.50   5.90  5.26  4.54  -<span style="color: #BB0000;">1.19</span>  15.4  1.00     434.     308.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">8</span>     8 theta     4.57   4.64  5.25  4.89  -<span style="color: #BB0000;">3.79</span>  12.2  1.02     355.     146.</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="co"># Summary functions can also be provided, as in posterior::summarise_draws():</span></span></span>
<span class="r-in"><span><span class="va">d</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span>  <span class="fu"><a href="spread_draws.html">spread_draws</a></span><span class="op">(</span><span class="va">theta</span><span class="op">[</span><span class="va">i</span><span class="op">]</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
<span class="r-in"><span>  <span class="fu"><a href="https://mc-stan.org/posterior/reference/draws_summary.html" class="external-link">summarise_draws</a></span><span class="op">(</span><span class="va">median</span>, <span class="va">mad</span>, <span class="va">rhat</span>, <span class="va">ess_tail</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 8 × 6</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Groups:   i [8]</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span>       i variable median   mad  rhat ess_tail</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span>     1 theta      5.97  4.87  1.01     254.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span>     2 theta      5.13  4.25  1.02     372.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span>     3 theta      3.99  4.94  1.01     205.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span>     4 theta      4.99  4.51  1.02     252.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span>     5 theta      3.72  4.38  1.01     306.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span>     6 theta      4.14  4.81  1.02     205.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">7</span>     7 theta      5.90  4.54  1.00     308.</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">8</span>     8 theta      4.64  4.89  1.02     146.</span>
<span class="r-in"><span></span></span>
</code></pre></div>
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