Example usage for org.apache.commons.math.stat.correlation SpearmansCorrelation SpearmansCorrelation

Introduction

In this page you can find the example usage for org.apache.commons.math.stat.correlation SpearmansCorrelation SpearmansCorrelation.

Prototype

public SpearmansCorrelation() 

Source Link

Document

Create a SpearmansCorrelation without data.

Usage

From source file:geogebra.kernel.statistics.AlgoSpearman.java

protected final void compute() {

    if (input.length == 1) {
        // input is single list of points
        int size = geoListPts.size();
        if (!geoListPts.isDefined() || size < 2) {
            result.setUndefined();//from ww  w.j a  va 2  s .  com
            return;
        }

        valX = new double[size];
        valY = new double[size];

        for (int i = 0; i < size; i++) {
            GeoElement geo = geoListPts.get(i);
            if (geo.isGeoPoint()) {
                double x = ((GeoPoint) geo).getX();
                double y = ((GeoPoint) geo).getY();
                double z = ((GeoPoint) geo).getZ();
                valX[i] = x / z;
                valY[i] = y / z;
            } else {
                result.setUndefined();
                return;
            }
        }

    } else {
        // input is two lists
        int sizeX = geoListX.size();
        int sizeY = geoListY.size();
        if (!geoListX.isDefined() || !geoListY.isDefined() || sizeX < 2 || sizeX != sizeY) {
            result.setUndefined();
            return;
        }

        valX = new double[sizeX];
        valY = new double[sizeX];

        for (int i = 0; i < sizeX; i++) {
            GeoElement geox = geoListX.get(i);
            GeoElement geoy = geoListY.get(i);
            if (geox.isNumberValue() && geoy.isNumberValue()) {
                NumberValue numx = (NumberValue) geox;
                NumberValue numy = (NumberValue) geoy;
                valX[i] = numx.getDouble();
                valY[i] = numy.getDouble();

            } else {
                result.setUndefined();
                return;
            }
        }
    }

    if (sp == null)
        sp = new SpearmansCorrelation();

    result.setValue(sp.correlation(valX, valY));

}

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From source file:geogebra.common.kernel.statistics.AlgoSpearman.java

@Override
public final void compute() {

    if (input.length == 1) {
        // input is single list of points
        int size = geoListPts.size();
        if (!geoListPts.isDefined() || size < 2) {
            result.setUndefined();// w  w w .j a  v  a  2  s  .c  o  m
            return;
        }

        valX = new double[size];
        valY = new double[size];

        for (int i = 0; i < size; i++) {
            GeoElement geo = geoListPts.get(i);
            if (geo.isGeoPoint()) {
                double x = ((GeoPoint) geo).getX();
                double y = ((GeoPoint) geo).getY();
                double z = ((GeoPoint) geo).getZ();
                valX[i] = x / z;
                valY[i] = y / z;
            } else {
                result.setUndefined();
                return;
            }
        }

    } else {
        // input is two lists
        int sizeX = geoListX.size();
        int sizeY = geoListY.size();
        if (!geoListX.isDefined() || !geoListY.isDefined() || sizeX < 2 || sizeX != sizeY) {
            result.setUndefined();
            return;
        }

        valX = new double[sizeX];
        valY = new double[sizeX];

        for (int i = 0; i < sizeX; i++) {
            GeoElement geox = geoListX.get(i);
            GeoElement geoy = geoListY.get(i);
            if (geox instanceof NumberValue && geoy instanceof NumberValue) {
                NumberValue numx = (NumberValue) geox;
                NumberValue numy = (NumberValue) geoy;
                valX[i] = numx.getDouble();
                valY[i] = numy.getDouble();

            } else {
                result.setUndefined();
                return;
            }
        }
    }

    if (sp == null)
        sp = new SpearmansCorrelation();

    result.setValue(sp.correlation(valX, valY));

}

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From source file:cal.binBased.Calculate_BinSpectrum_Similarity.java

/**
 * This method calculates correlation coefficients between two MSnSpectrum
 * object while taking into account of intensities of the mutual peaks. A
 * perfect score is 1 (or -1). And value range is [-1:1]
 *
 *///w w w . j ava  2s . c o m
public void calculateCorrelation() {
    // TODO: Make sure if any of binSpectra is empty, score i NaN!       
    if (sim_method.equals(SimilarityMethods.SPEARMANS_CORRELATION)) {
        SpearmansCorrelation sc = new SpearmansCorrelation();
        score = sc.correlation(bin_specA.getBin_spectrum(), bin_specB.getBin_spectrum());
    } else if (sim_method.equals(SimilarityMethods.PEARSONS_CORRELATION)) {
        PearsonsCorrelation pc = new PearsonsCorrelation();
        score = pc.correlation(bin_specA.getBin_spectrum(), bin_specB.getBin_spectrum());
    }
}

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From source file:org.dkpro.statistics.correlation.SpearmansRankCorrelation.java

/**
 * Computes the correlation between two datasets.
 * @param list1 The first dataset as a list.
 * @param list2 The second dataset as a list.
 * @return The correlation between the two datasets.
 *//*from w w  w.j  av  a 2  s.  co m*/
public static double computeCorrelation(List<Double> list1, List<Double> list2) {
    double[] l1 = new double[list1.size()];
    double[] l2 = new double[list2.size()];

    for (int i = 0; i < list1.size(); i++) {
        l1[i] = list1.get(i);
    }
    for (int i = 0; i < list2.size(); i++) {
        l2[i] = list2.get(i);
    }

    SpearmansCorrelation sc = new SpearmansCorrelation();
    return sc.correlation(l1, l2);
}

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