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@ -38,7 +38,7 @@
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<a class="navbar-brand me-2" href="../index.html">AMR (for R)</a>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9133</small>
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<small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.8.2.9135</small>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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@ -238,20 +238,20 @@ number of observations, the actual observed resistance, the estimated
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resistance and the standard error below and above the estimation:</p>
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<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
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<code class="sourceCode R"><span><span class="va">predict_TZP</span></span>
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<span><span class="co"># <span style="color: #949494;"># A tibble: 32 × 7</span></span></span>
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<span><span class="co"># year value se_min se_max observations observed estimated</span></span>
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<span><span class="co"># <span style="color: #BCBCBC;">*</span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 1</span> <span style="text-decoration: underline;">2</span>002 0.2 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 15 0.2 0.056<span style="text-decoration: underline;">2</span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 2</span> <span style="text-decoration: underline;">2</span>003 0.062<span style="text-decoration: underline;">5</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 32 0.062<span style="text-decoration: underline;">5</span> 0.061<span style="text-decoration: underline;">6</span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 3</span> <span style="text-decoration: underline;">2</span>004 0.085<span style="text-decoration: underline;">4</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 82 0.085<span style="text-decoration: underline;">4</span> 0.067<span style="text-decoration: underline;">6</span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 4</span> <span style="text-decoration: underline;">2</span>005 0.05 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 60 0.05 0.074<span style="text-decoration: underline;">1</span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 5</span> <span style="text-decoration: underline;">2</span>006 0.050<span style="text-decoration: underline;">8</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 59 0.050<span style="text-decoration: underline;">8</span> 0.081<span style="text-decoration: underline;">2</span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 6</span> <span style="text-decoration: underline;">2</span>007 0.121 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 66 0.121 0.088<span style="text-decoration: underline;">9</span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 7</span> <span style="text-decoration: underline;">2</span>008 0.041<span style="text-decoration: underline;">7</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 72 0.041<span style="text-decoration: underline;">7</span> 0.097<span style="text-decoration: underline;">2</span></span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 8</span> <span style="text-decoration: underline;">2</span>009 0.016<span style="text-decoration: underline;">4</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 61 0.016<span style="text-decoration: underline;">4</span> 0.106 </span></span>
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<span><span class="co"># <span style="color: #BCBCBC;"> 9</span> <span style="text-decoration: underline;">2</span>010 0.056<span style="text-decoration: underline;">6</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 53 0.056<span style="text-decoration: underline;">6</span> 0.116 </span></span>
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<span><span class="co"># <span style="color: #BCBCBC;">10</span> <span style="text-decoration: underline;">2</span>011 0.183 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 93 0.183 0.127 </span></span>
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<span><span class="co"># <span style="color: #949494;"># … with 22 more rows</span></span></span></code></pre></div>
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<span><span class="co">#> <span style="color: #949494;"># A tibble: 32 × 7</span></span></span>
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<span><span class="co">#> year value se_min se_max observations observed estimated</span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;">*</span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 1</span> <span style="text-decoration: underline;">2</span>002 0.2 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 15 0.2 0.056<span style="text-decoration: underline;">2</span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 2</span> <span style="text-decoration: underline;">2</span>003 0.062<span style="text-decoration: underline;">5</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 32 0.062<span style="text-decoration: underline;">5</span> 0.061<span style="text-decoration: underline;">6</span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 3</span> <span style="text-decoration: underline;">2</span>004 0.085<span style="text-decoration: underline;">4</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 82 0.085<span style="text-decoration: underline;">4</span> 0.067<span style="text-decoration: underline;">6</span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 4</span> <span style="text-decoration: underline;">2</span>005 0.05 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 60 0.05 0.074<span style="text-decoration: underline;">1</span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 5</span> <span style="text-decoration: underline;">2</span>006 0.050<span style="text-decoration: underline;">8</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 59 0.050<span style="text-decoration: underline;">8</span> 0.081<span style="text-decoration: underline;">2</span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 6</span> <span style="text-decoration: underline;">2</span>007 0.121 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 66 0.121 0.088<span style="text-decoration: underline;">9</span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 7</span> <span style="text-decoration: underline;">2</span>008 0.041<span style="text-decoration: underline;">7</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 72 0.041<span style="text-decoration: underline;">7</span> 0.097<span style="text-decoration: underline;">2</span></span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 8</span> <span style="text-decoration: underline;">2</span>009 0.016<span style="text-decoration: underline;">4</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 61 0.016<span style="text-decoration: underline;">4</span> 0.106 </span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;"> 9</span> <span style="text-decoration: underline;">2</span>010 0.056<span style="text-decoration: underline;">6</span> <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 53 0.056<span style="text-decoration: underline;">6</span> 0.116 </span></span>
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<span><span class="co">#> <span style="color: #BCBCBC;">10</span> <span style="text-decoration: underline;">2</span>011 0.183 <span style="color: #BB0000;">NA</span> <span style="color: #BB0000;">NA</span> 93 0.183 0.127 </span></span>
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<span><span class="co">#> <span style="color: #949494;"># … with 22 more rows</span></span></span></code></pre></div>
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<p>The function <code>plot</code> is available in base R, and can be
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extended by other packages to depend the output based on the type of
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input. We extended its function to cope with resistance predictions:</p>
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@ -342,14 +342,14 @@ model might be more appropriate:</p>
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<code class="sourceCode R"><span><span class="va">model</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/attributes.html" class="external-link">attributes</a></span><span class="op">(</span><span class="va">predict_TZP</span><span class="op">)</span><span class="op">$</span><span class="va">model</span></span>
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<span></span>
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<span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">model</span><span class="op">)</span><span class="op">$</span><span class="va">family</span></span>
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<span><span class="co"># </span></span>
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<span><span class="co"># Family: binomial </span></span>
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<span><span class="co"># Link function: logit</span></span>
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<span><span class="co">#> </span></span>
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<span><span class="co">#> Family: binomial </span></span>
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<span><span class="co">#> Link function: logit</span></span>
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<span></span>
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<span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">model</span><span class="op">)</span><span class="op">$</span><span class="va">coefficients</span></span>
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<span><span class="co"># Estimate Std. Error z value Pr(>|z|)</span></span>
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<span><span class="co"># (Intercept) -200.67944891 46.17315349 -4.346237 1.384932e-05</span></span>
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<span><span class="co"># year 0.09883005 0.02295317 4.305725 1.664395e-05</span></span></code></pre></div>
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<span><span class="co">#> Estimate Std. Error z value Pr(>|z|)</span></span>
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<span><span class="co">#> (Intercept) -200.67944891 46.17315349 -4.346237 1.384932e-05</span></span>
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<span><span class="co">#> year 0.09883005 0.02295317 4.305725 1.664395e-05</span></span></code></pre></div>
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</div>
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</div>
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</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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