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<meta property="og:description" content="Extracts coefficients from the meta learner,
i.e. the weights for the base learners." />
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    <h1>Extract Weights</h1>
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    <small class="dont-index">Source: <a href='https://github.com/rauschenberger/mixnet/blob/master/R/functions.R'><code>R/functions.R</code></a></small>
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    <div class="hidden name"><code>weights.joinet.Rd</code></div>
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    <p>Extracts coefficients from the meta learner,
i.e. the weights for the base learners.</p>
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    <pre class="usage"><span class='co'># S3 method for joinet</span>
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<span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/weights'>weights</a></span>(<span class='no'>object</span>, <span class='no'>...</span>)</pre>
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    <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>
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      <th>object</th>
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      <td><p>joinet object</p></td>
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    </tr>
    <tr>
      <th>...</th>
      <td><p>further arguments (not applicable)</p></td>
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    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
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    <pre class="examples"><div class='input'><span class='no'>n</span> <span class='kw'>&lt;-</span> <span class='fl'>30</span>; <span class='no'>q</span> <span class='kw'>&lt;-</span> <span class='fl'>2</span>; <span class='no'>p</span> <span class='kw'>&lt;-</span> <span class='fl'>20</span>
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<span class='no'>Y</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/matrix'>matrix</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/Normal'>rnorm</a></span>(<span class='no'>n</span>*<span class='no'>q</span>),<span class='kw'>nrow</span><span class='kw'>=</span><span class='no'>n</span>,<span class='kw'>ncol</span><span class='kw'>=</span><span class='no'>q</span>)
<span class='no'>X</span> <span class='kw'>&lt;-</span> <span class='fu'><a href='https://www.rdocumentation.org/packages/base/topics/matrix'>matrix</a></span>(<span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/Normal'>rnorm</a></span>(<span class='no'>n</span>*<span class='no'>p</span>),<span class='kw'>nrow</span><span class='kw'>=</span><span class='no'>n</span>,<span class='kw'>ncol</span><span class='kw'>=</span><span class='no'>p</span>)
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<span class='no'>object</span> <span class='kw'>&lt;-</span> <span class='fu'>joinet</span>(<span class='kw'>Y</span><span class='kw'>=</span><span class='no'>Y</span>,<span class='kw'>X</span><span class='kw'>=</span><span class='no'>X</span>)</div><div class='output co'>#&gt; <span class='warning'>Warning: Negative correlation!</span></div><div class='input'><span class='fu'><a href='https://www.rdocumentation.org/packages/stats/topics/weights'>weights</a></span>(<span class='no'>object</span>)</div><div class='output co'>#&gt;                   y1         y2
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#&gt; (Intercept) 0.565532 -0.3929572
#&gt; V1          0.000000  3.3142619
#&gt; V2          2.494110  0.1431946</div><div class='input'>
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</div></pre>
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    <h2>Contents</h2>
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      <li><a href="#arguments">Arguments</a></li>
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      <li><a href="#examples">Examples</a></li>
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  <p>Developed by <a href='https://rauschenberger.github.io'>Armin Rauschenberger</a>.</p>
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