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<h1>Methods that power anomalize()</h1>
<small class="dont-index">Source: <a href='https://github.com/business-science/anomalize/blob/master/R/anomalize_methods.R'><code>R/anomalize_methods.R</code></a></small>
<div class="hidden name"><code>anomalize_methods.Rd</code></div>
</div>
<div class="ref-description">
<p>Methods that power anomalize()</p>
</div>
<pre class="usage"><span class='fu'>iqr</span><span class='op'>(</span><span class='va'>x</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span>, max_anoms <span class='op'>=</span> <span class='fl'>0.2</span>, verbose <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
<span class='fu'>gesd</span><span class='op'>(</span><span class='va'>x</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span>, max_anoms <span class='op'>=</span> <span class='fl'>0.2</span>, verbose <span class='op'>=</span> <span class='cn'>FALSE</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>x</th>
<td><p>A vector of numeric data.</p></td>
</tr>
<tr>
<th>alpha</th>
<td><p>Controls the width of the "normal" range.
Lower values are more conservative while higher values are less prone
to incorrectly classifying "normal" observations.</p></td>
</tr>
<tr>
<th>max_anoms</th>
<td><p>The maximum percent of anomalies permitted to be identified.</p></td>
</tr>
<tr>
<th>verbose</th>
<td><p>A boolean. If <code>TRUE</code>, will return a list containing useful information
about the anomalies. If <code>FALSE</code>, just returns a vector of "Yes" / "No" values.</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>Returns character vector or list depending on the value of <code>verbose</code>.</p>
<h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
<ul>
<li><p>The IQR method is used in <a href='https://github.com/robjhyndman/forecast/blob/master/R/clean.R'><code><a href='https://pkg.robjhyndman.com/forecast/reference/tsoutliers.html'>forecast::tsoutliers()</a></code></a></p></li>
<li><p>The GESD method is used in Twitter's <a href='https://github.com/twitter/AnomalyDetection'><code>AnomalyDetection</code></a> package and is also available as a function in <a href='https://github.com/raunakms/GESD/blob/master/runGESD.R'>@raunakms's GESD method</a></p></li>
</ul>
<h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
<div class='dont-index'><p><code><a href='anomalize.html'>anomalize()</a></code></p></div>
<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'>
<span class='fu'><a href='https://rdrr.io/r/base/Random.html'>set.seed</a></span><span class='op'>(</span><span class='fl'>100</span><span class='op'>)</span>
<span class='va'>x</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Normal.html'>rnorm</a></span><span class='op'>(</span><span class='fl'>100</span><span class='op'>)</span>
<span class='va'>idx_outliers</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/sample.html'>sample</a></span><span class='op'>(</span><span class='fl'>100</span>, size <span class='op'>=</span> <span class='fl'>5</span><span class='op'>)</span>
<span class='va'>x</span><span class='op'>[</span><span class='va'>idx_outliers</span><span class='op'>]</span> <span class='op'><-</span> <span class='va'>x</span><span class='op'>[</span><span class='va'>idx_outliers</span><span class='op'>]</span> <span class='op'>+</span> <span class='fl'>10</span>
<span class='fu'>iqr</span><span class='op'>(</span><span class='va'>x</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span>, max_anoms <span class='op'>=</span> <span class='fl'>0.2</span><span class='op'>)</span>
</div><div class='output co'>#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "Yes" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "Yes" "No" "No" "Yes" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "Yes" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "Yes" "No" "No" "No" </div><div class='input'><span class='fu'>iqr</span><span class='op'>(</span><span class='va'>x</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span>, max_anoms <span class='op'>=</span> <span class='fl'>0.2</span>, verbose <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
</div><div class='output co'>#> $outlier
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "Yes" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "Yes" "No" "No" "Yes" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "Yes" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> 25% 25% 25% 25% 25% 25% 25% 25% 25%
#> "No" "No" "No" "No" "No" "Yes" "No" "No" "No"
#>
#> $outlier_idx
#> [1] 74 71 30 82 97
#>
#> $outlier_vals
#> [1] 11.648522 10.448903 10.247076 9.950004 9.167504
#>
#> $outlier_direction
#> [1] "Up" "Up" "Up" "Up" "Up"
#>
#> $critical_limits
#> limit_lower.25% limit_upper.75%
#> -4.552347 4.755455
#>
#> $outlier_report
#> <span style='color: #555555;'># A tibble: 20 x 7</span><span>
#> rank index value limit_lower limit_upper outlier direction
#> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><chr></span><span> </span><span style='color: #555555;font-style: italic;'><chr></span><span>
#> </span><span style='color: #555555;'> 1</span><span> 1 74 11.6 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 Yes Up
#> </span><span style='color: #555555;'> 2</span><span> 2 71 10.4 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 Yes Up
#> </span><span style='color: #555555;'> 3</span><span> 3 30 10.2 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 Yes Up
#> </span><span style='color: #555555;'> 4</span><span> 4 82 9.95 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 Yes Up
#> </span><span style='color: #555555;'> 5</span><span> 5 97 9.17 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 Yes Up
#> </span><span style='color: #555555;'> 6</span><span> 6 64 2.58 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'> 7</span><span> 7 55 -</span><span style='color: #BB0000;'>2.27</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'> 8</span><span> 8 96 2.45 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'> 9</span><span> 9 20 2.31 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>10</span><span> 10 80 -</span><span style='color: #BB0000;'>2.07</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>11</span><span> 11 75 -</span><span style='color: #BB0000;'>2.06</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>12</span><span> 12 84 -</span><span style='color: #BB0000;'>1.93</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>13</span><span> 13 50 -</span><span style='color: #BB0000;'>1.88</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>14</span><span> 14 43 -</span><span style='color: #BB0000;'>1.78</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>15</span><span> 15 52 -</span><span style='color: #BB0000;'>1.74</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>16</span><span> 16 54 1.90 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>17</span><span> 17 58 1.82 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>18</span><span> 18 32 1.76 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>19</span><span> 19 89 1.73 -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>20</span><span> 20 57 -</span><span style='color: #BB0000;'>1.40</span><span> -</span><span style='color: #BB0000;'>4.55</span><span> 4.76 No </span><span style='color: #BB0000;'>NA</span><span>
#> </div><div class='input'>
<span class='fu'>gesd</span><span class='op'>(</span><span class='va'>x</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span>, max_anoms <span class='op'>=</span> <span class='fl'>0.2</span><span class='op'>)</span>
</div><div class='output co'>#> [1] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [13] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [25] "No" "No" "No" "No" "No" "Yes" "No" "No" "No" "No" "No" "No"
#> [37] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [49] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [61] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "Yes" "No"
#> [73] "No" "Yes" "No" "No" "No" "No" "No" "No" "No" "Yes" "No" "No"
#> [85] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [97] "Yes" "No" "No" "No" </div><div class='input'><span class='fu'>gesd</span><span class='op'>(</span><span class='va'>x</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span>, max_anoms <span class='op'>=</span> <span class='fl'>0.2</span>, verbose <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
</div><div class='output co'>#> $outlier
#> [1] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [13] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [25] "No" "No" "No" "No" "No" "Yes" "No" "No" "No" "No" "No" "No"
#> [37] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [49] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [61] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "Yes" "No"
#> [73] "No" "Yes" "No" "No" "No" "No" "No" "No" "No" "Yes" "No" "No"
#> [85] "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No" "No"
#> [97] "Yes" "No" "No" "No"
#>
#> $outlier_idx
#> [1] 74 71 30 82 97
#>
#> $outlier_vals
#> [1] 11.648522 10.448903 10.247076 9.950004 9.167504
#>
#> $outlier_direction
#> [1] "Up" "Up" "Up" "Up" "Up"
#>
#> $critical_limits
#> limit_lower limit_upper
#> -3.315690 3.175856
#>
#> $outlier_report
#> </span><span style='color: #555555;'># A tibble: 20 x 7</span><span>
#> rank index value limit_lower limit_upper outlier direction
#> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><dbl></span><span> </span><span style='color: #555555;font-style: italic;'><chr></span><span> </span><span style='color: #555555;font-style: italic;'><chr></span><span>
#> </span><span style='color: #555555;'> 1</span><span> 1 74 11.6 -</span><span style='color: #BB0000;'>3.60</span><span> 3.58 Yes Up
#> </span><span style='color: #555555;'> 2</span><span> 2 71 10.4 -</span><span style='color: #BB0000;'>3.49</span><span> 3.43 Yes Up
#> </span><span style='color: #555555;'> 3</span><span> 3 30 10.2 -</span><span style='color: #BB0000;'>3.45</span><span> 3.35 Yes Up
#> </span><span style='color: #555555;'> 4</span><span> 4 82 9.95 -</span><span style='color: #BB0000;'>3.53</span><span> 3.39 Yes Up
#> </span><span style='color: #555555;'> 5</span><span> 5 97 9.17 -</span><span style='color: #BB0000;'>3.42</span><span> 3.29 Yes Up
#> </span><span style='color: #555555;'> 6</span><span> 6 64 2.58 -</span><span style='color: #BB0000;'>3.32</span><span> 3.18 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'> 7</span><span> 7 96 2.45 -</span><span style='color: #BB0000;'>3.28</span><span> 3.13 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'> 8</span><span> 8 20 2.31 -</span><span style='color: #BB0000;'>3.24</span><span> 3.08 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'> 9</span><span> 9 55 -</span><span style='color: #BB0000;'>2.27</span><span> -</span><span style='color: #BB0000;'>3.15</span><span> 2.98 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>10</span><span> 10 80 -</span><span style='color: #BB0000;'>2.07</span><span> -</span><span style='color: #BB0000;'>3.12</span><span> 2.96 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>11</span><span> 11 75 -</span><span style='color: #BB0000;'>2.06</span><span> -</span><span style='color: #BB0000;'>3.05</span><span> 2.91 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>12</span><span> 12 54 1.90 -</span><span style='color: #BB0000;'>2.95</span><span> 2.81 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>13</span><span> 13 58 1.82 -</span><span style='color: #BB0000;'>2.78</span><span> 2.63 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>14</span><span> 14 84 -</span><span style='color: #BB0000;'>1.93</span><span> -</span><span style='color: #BB0000;'>2.57</span><span> 2.41 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>15</span><span> 15 32 1.76 -</span><span style='color: #BB0000;'>2.54</span><span> 2.39 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>16</span><span> 16 89 1.73 -</span><span style='color: #BB0000;'>2.53</span><span> 2.37 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>17</span><span> 17 50 -</span><span style='color: #BB0000;'>1.88</span><span> -</span><span style='color: #BB0000;'>2.54</span><span> 2.37 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>18</span><span> 18 43 -</span><span style='color: #BB0000;'>1.78</span><span> -</span><span style='color: #BB0000;'>2.50</span><span> 2.34 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>19</span><span> 19 52 -</span><span style='color: #BB0000;'>1.74</span><span> -</span><span style='color: #BB0000;'>2.46</span><span> 2.31 No </span><span style='color: #BB0000;'>NA</span><span>
#> </span><span style='color: #555555;'>20</span><span> 20 92 1.43 -</span><span style='color: #BB0000;'>2.44</span><span> 2.30 No </span><span style='color: #BB0000;'>NA</span><span>
#> </div><div class='input'>
</div></span></pre>
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