toolgood.algorithm.mathNet.Statistics.Statistics Maven / Gradle / Ivy

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package toolgood.algorithm.mathNet.Statistics;

import java.util.ArrayList;
import java.util.List;

public class Statistics {
    public static double QuantileCustom(final List data, final double tau,
            final QuantileDefinition definition) throws Exception {
        double[] array = new double[data.size()];
        for (int i = 0; i < data.size(); i++) {
            array[i]=data.get(i);
        }
        return ArrayStatistics.QuantileCustomInplace(array, tau, definition);
    }
    public static double QuantileCustom(final double[] data, final double tau, final QuantileDefinition definition) throws Exception {
        return ArrayStatistics.QuantileCustomInplace(data, tau, definition);
    }
    public static double QuantileRank(final double[] data, final double x) {
        List dt= new ArrayList();
         for (int i = 0; i < data.length; i++) {
            dt.add(data[i]);
        }
        return QuantileRank(dt, x);
    }

    public static double QuantileRank(final List data, final double x) {
        List dt=ShellSort(data);
        double[] array = new double[dt.size()];
        for (int i = 0; i < dt.size(); i++) {
            array[i]=dt.get(i);
        }
        return SortedArrayStatistics.QuantileRank(array, x);
    }

    private static List ShellSort(List array) {
        int len = array.size();
        double temp;
        int gap = len / 2;
        while (gap > 0) {
            for (int i = gap; i < len; i++) {
                temp = array.get(i);
                int preIndex = i - gap;
                while (preIndex >= 0 && array.get(preIndex) > temp) {
                    array.set(preIndex + gap, array.get(preIndex));
                    // array[preIndex + gap] = array[preIndex];
                    preIndex -= gap;
                }
                array.set(preIndex + gap, temp);
                // array[preIndex + gap] = temp;
            }
            gap /= 2;
        }
        return array;
    }
}