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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/master/R/mkin_long_to_wide.R'><code>R/mkin_long_to_wide.R</code></a></small>
<div class="hidden name"><code>mkin_long_to_wide.Rd</code></div>
</div>
<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>
<pre class="usage"><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></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>long_data</th>
<td><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></td>
</tr>
<tr>
<th>time</th>
<td><p>The name of the time variable in the long input data.</p></td>
</tr>
<tr>
<th>outtime</th>
<td><p>The name of the time variable in the wide output data.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>Dataframe in wide format.</p>
<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='fu'>mkin_long_to_wide</span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span><span class='op'>)</span>
</div><div class='output co'>#> time parent m1
#> 1 0 99.46 0.00
#> 2 0 102.04 0.00
#> 3 1 93.50 4.84
#> 4 1 92.50 5.64
#> 5 3 63.23 12.91
#> 6 3 68.99 12.96
#> 7 7 52.32 22.97
#> 8 7 55.13 24.47
#> 9 14 27.27 41.69
#> 10 14 26.64 33.21
#> 11 21 11.50 44.37
#> 12 21 11.64 46.44
#> 13 35 2.85 41.22
#> 14 35 2.91 37.95
#> 15 50 0.69 41.19
#> 16 50 0.63 40.01
#> 17 75 0.05 40.09
#> 18 75 0.06 33.85
#> 19 100 NA 31.04
#> 20 100 NA 33.13
#> 21 120 NA 25.15
#> 22 120 NA 33.31</div><div class='input'>
</div></pre>
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