Example usage for org.apache.commons.math.stat.descriptive.rank Percentile setQuantile

Introduction

In this page you can find the example usage for org.apache.commons.math.stat.descriptive.rank Percentile setQuantile.

Prototype

public void setQuantile(final double p) 

Source Link

Document

Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).

Usage

From source file:edu.cornell.med.icb.learning.PercentileScalingRowProcessor.java

private void observeStatistics(final MutableString featureId, final int featureIndex,
        final double[] trimmedArray) {
    final Percentile lowerPercentile = new Percentile();
    lowerPercentile.setQuantile(20);
    final double min = lowerPercentile.evaluate(trimmedArray);
    final Percentile higherPercentile = new Percentile();
    higherPercentile.setQuantile(80);/*from  www  .  j  a  v a  2s  .co  m*/
    final double max = higherPercentile.evaluate(trimmedArray);
    final Percentile medianPercentile = new Percentile();
    medianPercentile.setQuantile(50);
    final double median = medianPercentile.evaluate(trimmedArray);
    final double range = max - min;

    featureIndex2ScaleMedian[featureIndex] = median;
    featureIndex2ScaleRange[featureIndex] = range;
    if (featureId != null) {

        probesetScaleMedianMap.put(featureId, median);
        probesetScaleRangeMap.put(featureId, range);
    }
    if (LOG.isTraceEnabled()) {
        LOG.trace(String.format("training, featureIndex/columnId %d/%s lower: %f higher %f median %f ",
                featureIndex, featureId, min, max, median));
    }
}

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