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    <h1>Convert a dataframe from long to wide format</h1>
    </div>

    
    <p>This function takes a dataframe in the long form as required by <code>modCost</code>
  and converts it into a dataframe with one independent variable and several
  dependent variables as columns.</p>
    

    <pre><span class='fu'>mkin_long_to_wide</span>(<span class='no'>long_data</span>, <span class='kw'>time</span> <span class='kw'>=</span> <span class='st'>"time"</span>, <span class='kw'>outtime</span> <span class='kw'>=</span> <span class='st'>"time"</span>)</pre>
    
    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
    <dl class="dl-horizontal">
      <dt>long_data</dt>
      <dd>
  The dataframe must contain one variable called &quot;time&quot; with the time values specified by the
  <code>time</code> argument, one column called &quot;name&quot; with the grouping of the observed values, and
  finally one column of observed values called &quot;value&quot;.
</dd>
      <dt>time</dt>
      <dd>
  The name of the time variable in the long input data.
</dd>
      <dt>outtime</dt>
      <dd>
  The name of the time variable in the wide output data.
</dd>
    </dl>
    
    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p>Dataframe in wide format.</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='no'>FOCUS_2006_D</span>)</div><div class='output co'>#&gt;    time parent    m1
#&gt; 1     0  99.46  0.00
#&gt; 2     0 102.04  0.00
#&gt; 3     1  93.50  4.84
#&gt; 4     1  92.50  5.64
#&gt; 5     3  63.23 12.91
#&gt; 6     3  68.99 12.96
#&gt; 7     7  52.32 22.97
#&gt; 8     7  55.13 24.47
#&gt; 9    14  27.27 41.69
#&gt; 10   14  26.64 33.21
#&gt; 11   21  11.50 44.37
#&gt; 12   21  11.64 46.44
#&gt; 13   35   2.85 41.22
#&gt; 14   35   2.91 37.95
#&gt; 15   50   0.69 41.19
#&gt; 16   50   0.63 40.01
#&gt; 17   75   0.05 40.09
#&gt; 18   75   0.06 33.85
#&gt; 19  100     NA 31.04
#&gt; 20  100     NA 33.13
#&gt; 21  120     NA 25.15
#&gt; 22  120     NA 33.31</div></pre>
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    <h2>Contents</h2>
    <ul class="nav nav-pills nav-stacked">
      <li><a href="#arguments">Arguments</a></li>
      
      <li><a href="#value">Value</a></li>
      
      <li><a href="#examples">Examples</a></li>
    </ul>

    <h2>Author</h2>
    
  Johannes Ranke

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