Package flanagan.math

Examples of flanagan.math.ArrayMaths.array()

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        this.originalQuartileSkewness = this.sod.quartileSkewness();
        this.originalExcessKurtosis = this.sod.excessKurtosis();

        // Store original data sorted into ascending order
        ArrayMaths sorted = this.sod.sort();
        this.sortedOriginalData = sorted.array();
        this.originalIndices = sorted.originalIndices();

        // Standardize and store standardized data
        this.standardizedOriginalData = this.sod.standardize();
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        this.standardizedTransformedDataStatistics(this.standardizedTransformedData);

        // Obtain the intercept and gradient of the Gaussian probabilty plot
        ArrayMaths st4 = new ArrayMaths(this.standardizedTransformedData);
        st4 = st4.sort();
        double[] ordered = st4.array();
        Regression reg = new Regression(this.gaussianOrderMedians, ordered);
        reg.linear();
        coeff = reg.getBestEstimates();
        this.transformedIntercept = coeff[0];
        this.transformedGradient = coeff[1];
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        this.standardizedTransformedDataStatistics(this.standardizedTransformedData);

        // Obtain the intercept and gradient of the Gaussian probabilty plot
        ArrayMaths st4 = new ArrayMaths(this.standardizedTransformedData);
        st4 = st4.sort();
        double[] ordered = st4.array();
        Regression reg = new Regression(this.gaussianOrderMedians, ordered);
        reg.linear();
        double[] coeff = reg.getBestEstimates();
        this.transformedIntercept = coeff[0];
        this.transformedGradient = coeff[1];
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            // order data
            ArrayMaths am = new ArrayMaths(x1);
            am = am.sort();
            this.x1indices = am.originalIndices();
            x1 = am.array();
            double[][] hold = new double[nPoints][mPoints];
            double[][] hold1 = null;
            double[][] hold2 = null;
            double[][] hold12 = null;
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            }

          am = new ArrayMaths(x2);
            am = am.sort();
            this.x2indices = am.originalIndices();
            double[] xh = am.array();
            for(int i=0; i<mPoints; i++)x2[i] = xh[mPoints-1-i];
            for(int i=0; i<mPoints; i++){
              for(int j=0; j<nPoints; j++){
                  hold[j][i] = y[j][this.x2indices[i]];
              }
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            // order data
            ArrayMaths am = new ArrayMaths(x);
            am = am.sort();
            this.xIndices = am.originalIndices();
            x = am.array();
            double[] hold = new double[nPoints];

            for(int i=0; i<nPoints; i++){
              hold[i] = y[this.xIndices[i]];
          }
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            // order data
            ArrayMaths am = new ArrayMaths(x1);
            am = am.sort();
            this.x1indices = am.originalIndices();
            x1 = am.array();
            double[][][] hold = new double[lPoints][mPoints][nPoints];
            double[][][] hold1 = null;
            double[][][] hold2 = null;
            double[][][] hold12 = null;
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            }

          am = new ArrayMaths(x2);
            am = am.sort();
            this.x2indices = am.originalIndices();
            x2 = am.array();

            for(int i=0; i<lPoints; i++){
              for(int j=0; j<mPoints; j++){
                  for(int k=0; k<nPoints; k++){
                      hold[i][j][k] = y[i][this.x2indices[j]][k];
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          }

            am = new ArrayMaths(x3);
            am = am.sort();
            this.x3indices = am.originalIndices();
            x3 = am.array();

            for(int i=0; i<lPoints; i++){
              for(int j=0; j<mPoints; j++){
                  for(int k=0; k<nPoints; k++){
                      hold[i][j][k] = y[i][j][this.x3indices[k]];
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    public RankAnalysis(float[][] values, float[] errors){
        Matrix matv = new Matrix(values);
        this.values = matv.getArrayCopy();
        ArrayMaths ame = new ArrayMaths(errors);
        this.errors = this.oneToTwo(ame.array(), this.values[0].length);
        this.errorType = 1;
        this.preprocessDataOne();
    }

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