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761 lines
34 KiB
761 lines
34 KiB
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</div><div id="types">
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<h2 class="fixed">Types in MathNet.Numerics.Statistics</h2>
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<ul>
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<li>
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<a href="../MathNet.Numerics.Statistics/ArrayStatistics.htm">ArrayStatistics</a>
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<a href="../MathNet.Numerics.Statistics/Bucket.htm">Bucket</a>
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<a href="../MathNet.Numerics.Statistics/Correlation.htm">Correlation</a>
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<a href="../MathNet.Numerics.Statistics/DescriptiveStatistics.htm">DescriptiveStatistics</a>
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<a href="../MathNet.Numerics.Statistics/Histogram.htm">Histogram</a>
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<a href="../MathNet.Numerics.Statistics/KernelDensity.htm">KernelDensity</a>
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<a href="../MathNet.Numerics.Statistics/MovingStatistics.htm">MovingStatistics</a>
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<a href="../MathNet.Numerics.Statistics/QuantileDefinition.htm">QuantileDefinition</a>
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<a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a>
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<a href="../MathNet.Numerics.Statistics/RunningStatistics.htm">RunningStatistics</a>
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<a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm" class="current">SortedArrayStatistics</a>
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<a href="../MathNet.Numerics.Statistics/Statistics.htm">Statistics</a>
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<a href="../MathNet.Numerics.Statistics/StreamingStatistics.htm">StreamingStatistics</a>
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</div>
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</div>
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<div class="header">
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<p class="class"><strong>Type</strong> SortedArrayStatistics</p>
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<p><strong>Namespace</strong> MathNet.Numerics.Statistics</p>
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</div>
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<div class="sub-header">
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<div id="summary">Statistics operating on an array already sorted ascendingly.
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</div>
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<h3 class="section">Static Functions</h3>
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<ul>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#EmpiricalCDF">EmpiricalCDF</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#EmpiricalCDF">EmpiricalCDF</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#FiveNumberSummary">FiveNumberSummary</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#FiveNumberSummary">FiveNumberSummary</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#InterquartileRange">InterquartileRange</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#InterquartileRange">InterquartileRange</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#LowerQuartile">LowerQuartile</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#LowerQuartile">LowerQuartile</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Maximum">Maximum</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Maximum">Maximum</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Median">Median</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Median">Median</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Minimum">Minimum</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Minimum">Minimum</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#OrderStatistic">OrderStatistic</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#OrderStatistic">OrderStatistic</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Percentile">Percentile</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Percentile">Percentile</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Quantile">Quantile</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Quantile">Quantile</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#QuantileCustom">QuantileCustom</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#QuantileCustom">QuantileCustom</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#QuantileCustom">QuantileCustom</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#QuantileCustom">QuantileCustom</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#QuantileRank">QuantileRank</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#QuantileRank">QuantileRank</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Ranks">Ranks</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#Ranks">Ranks</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#UpperQuartile">UpperQuartile</a></li>
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<li><a href="../MathNet.Numerics.Statistics/SortedArrayStatistics.htm#UpperQuartile">UpperQuartile</a></li>
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</ul>
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</div>
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<h3 class="section">Public Static Functions</h3>
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<div id="EmpiricalCDF" class="method">
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<h4><span title="System.double">double</span> <strong>EmpiricalCDF</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.float">float</span> x)</h4>
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<div class="content">Estimates the empirical cumulative distribution function (CDF) at x from the sorted data array (ascending).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
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<p class="comments">The data sample sequence. </p>
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<h6><code><span title="System.float">float</span></code> x</h6>
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<p class="comments">The value where to estimate the CDF at. </p>
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</div>
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</div>
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</div>
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<div id="EmpiricalCDF" class="method">
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<h4><span title="System.double">double</span> <strong>EmpiricalCDF</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.double">double</span> x)</h4>
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<div class="content">Estimates the empirical cumulative distribution function (CDF) at x from the sorted data array (ascending).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
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<p class="comments">The data sample sequence. </p>
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<h6><code><span title="System.double">double</span></code> x</h6>
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<p class="comments">The value where to estimate the CDF at. </p>
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</div>
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</div>
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</div>
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<div id="FiveNumberSummary" class="method">
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<h4><span title="System.Double[]">Double[]</span> <strong>FiveNumberSummary</strong>(<span title="System.Double[]">Double[]</span> data)</h4>
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<div class="content">Estimates {min, lower-quantile, median, upper-quantile, max} from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="FiveNumberSummary" class="method">
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<h4><span title="System.Single[]">Single[]</span> <strong>FiveNumberSummary</strong>(<span title="System.Single[]">Single[]</span> data)</h4>
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<div class="content">Estimates {min, lower-quantile, median, upper-quantile, max} from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="InterquartileRange" class="method">
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<h4><span title="System.double">double</span> <strong>InterquartileRange</strong>(<span title="System.Double[]">Double[]</span> data)</h4>
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<div class="content">Estimates the inter-quartile range from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="InterquartileRange" class="method">
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<h4><span title="System.float">float</span> <strong>InterquartileRange</strong>(<span title="System.Single[]">Single[]</span> data)</h4>
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<div class="content">Estimates the inter-quartile range from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="LowerQuartile" class="method">
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<h4><span title="System.double">double</span> <strong>LowerQuartile</strong>(<span title="System.Double[]">Double[]</span> data)</h4>
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<div class="content">Estimates the first quartile value from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="LowerQuartile" class="method">
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<h4><span title="System.float">float</span> <strong>LowerQuartile</strong>(<span title="System.Single[]">Single[]</span> data)</h4>
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<div class="content">Estimates the first quartile value from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="Maximum" class="method">
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<h4><span title="System.float">float</span> <strong>Maximum</strong>(<span title="System.Single[]">Single[]</span> data)</h4>
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<div class="content">Returns the largest value from the sorted data array (ascending).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="Maximum" class="method">
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<h4><span title="System.double">double</span> <strong>Maximum</strong>(<span title="System.Double[]">Double[]</span> data)</h4>
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<div class="content">Returns the largest value from the sorted data array (ascending).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="Median" class="method">
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<h4><span title="System.double">double</span> <strong>Median</strong>(<span title="System.Double[]">Double[]</span> data)</h4>
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<div class="content">Estimates the median value from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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</div>
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</div>
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<div id="Median" class="method">
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<h4><span title="System.float">float</span> <strong>Median</strong>(<span title="System.Single[]">Single[]</span> data)</h4>
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<div class="content">Estimates the median value from the sorted data array (ascending).
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Approximately median-unbiased regardless of the sample distribution (R8).
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<div class="parameters">
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<h5>Parameters</h5>
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<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
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<p class="comments">Sample array, must be sorted ascendingly. </p>
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</div>
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|
|
|
</div>
|
|
</div>
|
|
<div id="Minimum" class="method">
|
|
<h4><span title="System.double">double</span> <strong>Minimum</strong>(<span title="System.Double[]">Double[]</span> data)</h4>
|
|
<div class="content">Returns the smallest value from the sorted data array (ascending).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="Minimum" class="method">
|
|
<h4><span title="System.float">float</span> <strong>Minimum</strong>(<span title="System.Single[]">Single[]</span> data)</h4>
|
|
<div class="content">Returns the smallest value from the sorted data array (ascending).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="OrderStatistic" class="method">
|
|
<h4><span title="System.float">float</span> <strong>OrderStatistic</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.int">int</span> order)</h4>
|
|
<div class="content">Returns the order statistic (order 1..N) from the sorted data array (ascending).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.int">int</span></code> order</h6>
|
|
<p class="comments">One-based order of the statistic, must be between 1 and N (inclusive). </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="OrderStatistic" class="method">
|
|
<h4><span title="System.double">double</span> <strong>OrderStatistic</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.int">int</span> order)</h4>
|
|
<div class="content">Returns the order statistic (order 1..N) from the sorted data array (ascending).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.int">int</span></code> order</h6>
|
|
<p class="comments">One-based order of the statistic, must be between 1 and N (inclusive). </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="Percentile" class="method">
|
|
<h4><span title="System.float">float</span> <strong>Percentile</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.int">int</span> p)</h4>
|
|
<div class="content">Estimates the p-Percentile value from the sorted data array (ascending).
|
|
If a non-integer Percentile is needed, use Quantile instead.
|
|
Approximately median-unbiased regardless of the sample distribution (R8).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.int">int</span></code> p</h6>
|
|
<p class="comments">Percentile selector, between 0 and 100 (inclusive). </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="Percentile" class="method">
|
|
<h4><span title="System.double">double</span> <strong>Percentile</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.int">int</span> p)</h4>
|
|
<div class="content">Estimates the p-Percentile value from the sorted data array (ascending).
|
|
If a non-integer Percentile is needed, use Quantile instead.
|
|
Approximately median-unbiased regardless of the sample distribution (R8).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.int">int</span></code> p</h6>
|
|
<p class="comments">Percentile selector, between 0 and 100 (inclusive). </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="Quantile" class="method">
|
|
<h4><span title="System.float">float</span> <strong>Quantile</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.double">double</span> tau)</h4>
|
|
<div class="content">Estimates the tau-th quantile from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau.
|
|
Approximately median-unbiased regardless of the sample distribution (R8). <blockquote class="remarks">
|
|
R-8, SciPy-(1/3,1/3):
|
|
Linear interpolation of the approximate medians for order statistics.
|
|
When tau < (2/3) / (N + 1/3), use x1. When tau >= (N - 1/3) / (N + 1/3), use xN.
|
|
</blockquote>
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.double">double</span></code> tau</h6>
|
|
<p class="comments">Quantile selector, between 0.0 and 1.0 (inclusive). </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="Quantile" class="method">
|
|
<h4><span title="System.double">double</span> <strong>Quantile</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.double">double</span> tau)</h4>
|
|
<div class="content">Estimates the tau-th quantile from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau.
|
|
Approximately median-unbiased regardless of the sample distribution (R8). <blockquote class="remarks">
|
|
R-8, SciPy-(1/3,1/3):
|
|
Linear interpolation of the approximate medians for order statistics.
|
|
When tau < (2/3) / (N + 1/3), use x1. When tau >= (N - 1/3) / (N + 1/3), use xN.
|
|
</blockquote>
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.double">double</span></code> tau</h6>
|
|
<p class="comments">Quantile selector, between 0.0 and 1.0 (inclusive). </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="QuantileCustom" class="method">
|
|
<h4><span title="System.double">double</span> <strong>QuantileCustom</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.double">double</span> tau, <a href="../MathNet.Numerics.Statistics/QuantileDefinition.htm">QuantileDefinition</a> definition)</h4>
|
|
<div class="content">Estimates the tau-th quantile from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau. The quantile definition can be specified to be compatible
|
|
with an existing system.
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.double">double</span></code> tau</h6>
|
|
<p class="comments">Quantile selector, between 0.0 and 1.0 (inclusive). </p>
|
|
<h6><code><a href="../MathNet.Numerics.Statistics/QuantileDefinition.htm">QuantileDefinition</a></code> definition</h6>
|
|
<p class="comments">Quantile definition, to choose what product/definition it should be consistent with </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="QuantileCustom" class="method">
|
|
<h4><span title="System.double">double</span> <strong>QuantileCustom</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.double">double</span> tau, <span title="System.double">double</span> a, <span title="System.double">double</span> b, <span title="System.double">double</span> c, <span title="System.double">double</span> d)</h4>
|
|
<div class="content">Estimates the tau-th quantile from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau. The quantile definition can be specified
|
|
by 4 parameters a, b, c and d, consistent with Mathematica.
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.double">double</span></code> tau</h6>
|
|
<p class="comments">Quantile selector, between 0.0 and 1.0 (inclusive). </p>
|
|
<h6><code><span title="System.double">double</span></code> a</h6>
|
|
<p class="comments">a-parameter </p>
|
|
<h6><code><span title="System.double">double</span></code> b</h6>
|
|
<p class="comments">b-parameter </p>
|
|
<h6><code><span title="System.double">double</span></code> c</h6>
|
|
<p class="comments">c-parameter </p>
|
|
<h6><code><span title="System.double">double</span></code> d</h6>
|
|
<p class="comments">d-parameter </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="QuantileCustom" class="method">
|
|
<h4><span title="System.float">float</span> <strong>QuantileCustom</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.double">double</span> tau, <span title="System.double">double</span> a, <span title="System.double">double</span> b, <span title="System.double">double</span> c, <span title="System.double">double</span> d)</h4>
|
|
<div class="content">Estimates the tau-th quantile from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau. The quantile definition can be specified
|
|
by 4 parameters a, b, c and d, consistent with Mathematica.
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.double">double</span></code> tau</h6>
|
|
<p class="comments">Quantile selector, between 0.0 and 1.0 (inclusive). </p>
|
|
<h6><code><span title="System.double">double</span></code> a</h6>
|
|
<p class="comments">a-parameter </p>
|
|
<h6><code><span title="System.double">double</span></code> b</h6>
|
|
<p class="comments">b-parameter </p>
|
|
<h6><code><span title="System.double">double</span></code> c</h6>
|
|
<p class="comments">c-parameter </p>
|
|
<h6><code><span title="System.double">double</span></code> d</h6>
|
|
<p class="comments">d-parameter </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="QuantileCustom" class="method">
|
|
<h4><span title="System.float">float</span> <strong>QuantileCustom</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.double">double</span> tau, <a href="../MathNet.Numerics.Statistics/QuantileDefinition.htm">QuantileDefinition</a> definition)</h4>
|
|
<div class="content">Estimates the tau-th quantile from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau. The quantile definition can be specified to be compatible
|
|
with an existing system.
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
<h6><code><span title="System.double">double</span></code> tau</h6>
|
|
<p class="comments">Quantile selector, between 0.0 and 1.0 (inclusive). </p>
|
|
<h6><code><a href="../MathNet.Numerics.Statistics/QuantileDefinition.htm">QuantileDefinition</a></code> definition</h6>
|
|
<p class="comments">Quantile definition, to choose what product/definition it should be consistent with </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="QuantileRank" class="method">
|
|
<h4><span title="System.double">double</span> <strong>QuantileRank</strong>(<span title="System.Double[]">Double[]</span> data, <span title="System.double">double</span> x, <a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a> definition)</h4>
|
|
<div class="content">Estimates the quantile tau from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau. The quantile definition can be specified to be compatible
|
|
with an existing system.
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">The data sample sequence. </p>
|
|
<h6><code><span title="System.double">double</span></code> x</h6>
|
|
<p class="comments">Quantile value. </p>
|
|
<h6><code><a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a></code> definition</h6>
|
|
<p class="comments">Rank definition, to choose how ties should be handled and what product/definition it should be consistent with </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="QuantileRank" class="method">
|
|
<h4><span title="System.double">double</span> <strong>QuantileRank</strong>(<span title="System.Single[]">Single[]</span> data, <span title="System.float">float</span> x, <a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a> definition)</h4>
|
|
<div class="content">Estimates the quantile tau from the sorted data array (ascending).
|
|
The tau-th quantile is the data value where the cumulative distribution
|
|
function crosses tau. The quantile definition can be specified to be compatible
|
|
with an existing system.
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">The data sample sequence. </p>
|
|
<h6><code><span title="System.float">float</span></code> x</h6>
|
|
<p class="comments">Quantile value. </p>
|
|
<h6><code><a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a></code> definition</h6>
|
|
<p class="comments">Rank definition, to choose how ties should be handled and what product/definition it should be consistent with </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="Ranks" class="method">
|
|
<h4><span title="System.Double[]">Double[]</span> <strong>Ranks</strong>(<span title="System.Double[]">Double[]</span> data, <a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a> definition)</h4>
|
|
<div class="content">Evaluates the rank of each entry of the sorted data array (ascending).
|
|
The rank definition can be specified to be compatible
|
|
with an existing system.
|
|
|
|
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="Ranks" class="method">
|
|
<h4><span title="System.Double[]">Double[]</span> <strong>Ranks</strong>(<span title="System.Single[]">Single[]</span> data, <a href="../MathNet.Numerics.Statistics/RankDefinition.htm">RankDefinition</a> definition)</h4>
|
|
<div class="content">Evaluates the rank of each entry of the sorted data array (ascending).
|
|
The rank definition can be specified to be compatible
|
|
with an existing system.
|
|
|
|
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="UpperQuartile" class="method">
|
|
<h4><span title="System.double">double</span> <strong>UpperQuartile</strong>(<span title="System.Double[]">Double[]</span> data)</h4>
|
|
<div class="content">Estimates the third quartile value from the sorted data array (ascending).
|
|
Approximately median-unbiased regardless of the sample distribution (R8).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Double[]">Double[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
<div id="UpperQuartile" class="method">
|
|
<h4><span title="System.float">float</span> <strong>UpperQuartile</strong>(<span title="System.Single[]">Single[]</span> data)</h4>
|
|
<div class="content">Estimates the third quartile value from the sorted data array (ascending).
|
|
Approximately median-unbiased regardless of the sample distribution (R8).
|
|
|
|
|
|
<div class="parameters">
|
|
<h5>Parameters</h5>
|
|
|
|
<h6><code><span title="System.Single[]">Single[]</span></code> data</h6>
|
|
<p class="comments">Sample array, must be sorted ascendingly. </p>
|
|
</div>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
|
|
|
|
<div id="footer">
|
|
<p>Based on v5.0.0.0 of MathNet.Numerics (Math.NET Numerics)</p>
|
|
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p>
|
|
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|
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|
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|