search_query_stats_positions.html
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<title>Multi Tier Annotation Search – Statistics - positions</title>
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<h1>Statistics - positions</h1>
<p>To get statistics on the number of positions within a set of documents, besides the parameter to enable <a href="search_query_stats.html">statistics</a>, the following parameter should be provided.</p>
<table border="0" class="table table-striped">
<thead>
<tr class="a">
<th>Parameter </th>
<th>Value </th>
<th>Obligatory </th>
</tr>
</thead>
<tbody>
<tr class="b">
<td>mtas.stats.positions </td>
<td>true </td>
<td>yes </td>
</tr>
</tbody>
</table>
<p>Multiple statistics on positions can be produced within the same request. To distinguish them, a unique identifier has to be provided for<br />each of the required statistics.</p>
<table border="0" class="table table-striped">
<thead>
<tr class="a">
<th>Parameter </th>
<th>Value </th>
<th>Info </th>
<th>Obligatory </th>
</tr>
</thead>
<tbody>
<tr class="b">
<td>mtas.stats.positions.<identifier>.key </td>
<td><string> </td>
<td>key used in response </td>
<td>no </td>
</tr>
<tr class="a">
<td>mtas.stats.positions.<identifier>.field </td>
<td><string> </td>
<td>mtas field </td>
<td>yes </td>
</tr>
<tr class="b">
<td>mtas.stats.positions.<identifier>.type </td>
<td><string> </td>
<td>required <a href="search_stats.html">type of statistics</a> </td>
<td>no </td>
</tr>
<tr class="a">
<td>mtas.stats.positions.<identifier>.minimum </td>
<td><double> </td>
<td>minimum number of positions </td>
<td>no </td>
</tr>
<tr class="b">
<td>mtas.stats.positions.<identifier>.maximum </td>
<td><double> </td>
<td>maximum number of positions </td>
<td>no </td>
</tr>
</tbody>
</table>
<p>The <i>key</i> is added to the response and may be used to distinguish between multiple statistics on positions, and should therefore be unique. The optional <i>minimum</i> and <i>maximum</i> can be used to focus only on documents satisfying a condition on the number of positions.</p>
<hr />
<div class="section">
<h2><a name="Examples"></a>Examples</h2>
<ol style="list-style-type: decimal">
<li><a href="#basic">Basic</a> : basic statistics on the number of positions.</li>
<li><a href="#minimum-and-maximum">Minimum and maximum</a> : statistics on the number of positions with restrictions on this number.</li>
<li><a href="#subset">Subset</a> : statistics on the number of positions within a subset of documents.</li>
</ol>
<hr />
<p><a name="basic"></a> </p>
<div class="section">
<h3><a name="Basic"></a>Basic</h3>
<p><b>Example</b><br />Total and average number of positions and the number of documents.</p>
<p><b>Request and response</b><br /><tt>q=*%3A*&rows=0&mtas=true&mtas.stats=true&mtas.stats.positions=true&mtas.stats.positions.0.field=text&mtas.stats.positions.0.key=example - basic&mtas.stats.positions.0.type=sum,mean,n&wt=json&indent=true</tt></p>
<div class="source">
<div class="source"><pre class="prettyprint">"mtas":{
"stats":{
"positions":[{
"key":"example - basic",
"mean":163.32306296759796,
"sum":337230767,
"n":2064808}]}}
</pre></div></div>
<p><a name="minimum-and-maximum"></a></p></div>
<div class="section">
<h3><a name="Minimum_and_maximum"></a>Minimum and maximum</h3>
<p><b>Example</b><br />Full statistics on positions for documents with a minimum of 100 positions, for documents with a maximum of 200 positions, and for documents with between 100 and 200 positions.</p>
<p><b>Request and response</b><br /><tt>q=*%3A*&rows=0&mtas=true&mtas.stats=true&mtas.stats.positions=true&mtas.stats.positions.0.field=text&mtas.stats.positions.0.key=example - minimum&mtas.stats.positions.0.type=all&mtas.stats.positions.0.minimum=100&mtas.stats.positions.1.field=text&mtas.stats.positions.1.key=example - maximum&mtas.stats.positions.1.type=all&mtas.stats.positions.1.maximum=200&mtas.stats.positions.2.field=text&mtas.stats.positions.2.key=example - minimum and maximum&mtas.stats.positions.2.type=all&mtas.stats.positions.2.minimum=100&mtas.stats.positions.2.maximum=200&wt=json&indent=true</tt></p>
<div class="source">
<div class="source"><pre class="prettyprint">"mtas":{
"stats":{
"positions":[{
"key":"example - minimum",
"sumsq":3.217738942941E12,
"populationvariance":4429860.598303376,
"max":419252.0,
"sum":3.03356085E8,
"kurtosis":7475.629984106579,
"standarddeviation":2104.724912671482,
"n":696551,
"quadraticmean":2149.309425767974,
"min":100.0,
"median":232.0,
"variance":4429866.9580199765,
"mean":435.5116638982477,
"geometricmean":269.08829791186866,
"sumoflogs":3897230.408057158,
"skewness":69.96996634727896},
{
"key":"example - maximum",
"sumsq":8.387258635E9,
"populationvariance":2952.9318413516844,
"max":200.0,
"sum":7.6021711E7,
"kurtosis":0.06752103336188053,
"standarddeviation":54.34090186412456,
"n":1664511,
"quadraticmean":70.98501573316724,
"min":0.0,
"median":25.0,
"variance":2952.9336154064163,
"mean":45.672098892754136,
"geometricmean":0.0,
"sumoflogs":"-Infinity",
"skewness":1.055453308387049},
{
"key":"example - minimum and maximum",
"sumsq":6.242915333E9,
"populationvariance":833.0814348912809,
"max":200.0,
"sum":4.2147029E7,
"kurtosis":-1.089851452153094,
"standarddeviation":28.86319883436408,
"n":296254,
"quadraticmean":145.16489726459713,
"min":100.0,
"median":139.0,
"variance":833.084246952036,
"mean":142.2665314223605,
"geometricmean":139.38264759454245,
"sumoflogs":1462672.066002271,
"skewness":0.30992716799338843}]}}
</pre></div></div>
<p><a name="subset"></a> </p></div>
<div class="section">
<h3><a name="Subset"></a>Subset</h3>
<p><b>Example</b><br />Total and average number of positions and the number of documents for a subset of documents.</p>
<p><b>Request and response</b><br /><tt>q=text:koe&rows=0&mtas=true&mtas.stats=true&mtas.stats.positions=true&mtas.stats.positions.0.field=text&mtas.stats.positions.0.key=example - subset&mtas.stats.positions.0.type=sum,mean,n&wt=json&indent=true</tt></p>
<div class="source">
<div class="source"><pre class="prettyprint">"mtas":{
"stats":{
"positions":[{
"key":"example - subset",
"mean":3578.5040620384048,
"sum":9690589,
"n":2708}]}}
</pre></div></div></div></div>
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