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<h1>Convert a dataframe from long to wide format</h1>
<small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/mkin_long_to_wide.R" class="external-link"><code>R/mkin_long_to_wide.R</code></a></small>
<div class="hidden name"><code>mkin_long_to_wide.Rd</code></div>
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<div class="ref-description">
<p>This function takes a dataframe in the long form, i.e. with a row for each
observed value, and converts it into a dataframe with one independent
variable and several dependent variables as columns.</p>
</div>
<div id="ref-usage">
<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mkin_long_to_wide</span><span class="op">(</span><span class="va">long_data</span>, time <span class="op">=</span> <span class="st">"time"</span>, outtime <span class="op">=</span> <span class="st">"time"</span><span class="op">)</span></span></code></pre></div>
</div>
<div id="arguments">
<h2>Arguments</h2>
<dl><dt>long_data</dt>
<dd><p>The dataframe must contain one variable called "time" with
the time values specified by the <code>time</code> argument, one column called
"name" with the grouping of the observed values, and finally one column of
observed values called "value".</p></dd>
<dt>time</dt>
<dd><p>The name of the time variable in the long input data.</p></dd>
<dt>outtime</dt>
<dd><p>The name of the time variable in the wide output data.</p></dd>
</dl></div>
<div id="value">
<h2>Value</h2>
<p>Dataframe in wide format.</p>
</div>
<div id="author">
<h2>Author</h2>
<p>Johannes Ranke</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="fu">mkin_long_to_wide</span><span class="op">(</span><span class="va">FOCUS_2006_D</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> time parent m1</span>
<span class="r-out co"><span class="r-pr">#></span> 1 0 99.46 0.00</span>
<span class="r-out co"><span class="r-pr">#></span> 2 0 102.04 0.00</span>
<span class="r-out co"><span class="r-pr">#></span> 3 1 93.50 4.84</span>
<span class="r-out co"><span class="r-pr">#></span> 4 1 92.50 5.64</span>
<span class="r-out co"><span class="r-pr">#></span> 5 3 63.23 12.91</span>
<span class="r-out co"><span class="r-pr">#></span> 6 3 68.99 12.96</span>
<span class="r-out co"><span class="r-pr">#></span> 7 7 52.32 22.97</span>
<span class="r-out co"><span class="r-pr">#></span> 8 7 55.13 24.47</span>
<span class="r-out co"><span class="r-pr">#></span> 9 14 27.27 41.69</span>
<span class="r-out co"><span class="r-pr">#></span> 10 14 26.64 33.21</span>
<span class="r-out co"><span class="r-pr">#></span> 11 21 11.50 44.37</span>
<span class="r-out co"><span class="r-pr">#></span> 12 21 11.64 46.44</span>
<span class="r-out co"><span class="r-pr">#></span> 13 35 2.85 41.22</span>
<span class="r-out co"><span class="r-pr">#></span> 14 35 2.91 37.95</span>
<span class="r-out co"><span class="r-pr">#></span> 15 50 0.69 41.19</span>
<span class="r-out co"><span class="r-pr">#></span> 16 50 0.63 40.01</span>
<span class="r-out co"><span class="r-pr">#></span> 17 75 0.05 40.09</span>
<span class="r-out co"><span class="r-pr">#></span> 18 75 0.06 33.85</span>
<span class="r-out co"><span class="r-pr">#></span> 19 100 NA 31.04</span>
<span class="r-out co"><span class="r-pr">#></span> 20 100 NA 33.13</span>
<span class="r-out co"><span class="r-pr">#></span> 21 120 NA 25.15</span>
<span class="r-out co"><span class="r-pr">#></span> 22 120 NA 33.31</span>
<span class="r-in"><span></span></span>
</code></pre></div>
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