Examples of flanagan.analysis.Stat.sort()

flanagan.analysis.Stat.sort()

        this.transformedQuartileSkewness = st2.quartileSkewness();
        this.transformedExcessKurtosis = st2.excessKurtosis();


        // Arrange scaled transformed data into ascending order
        Stat st5 = new Stat(data);
        this.sortedScaledTransformedData = (st5.sort()).array();
    }


   // Calculate standardized transformed data statistics
   private void standardizedTransformedDataStatistics(double[] data){
       // Calculate standardized transformed data statistics

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        this.transformedQuartileSkewness = st2.quartileSkewness();
        this.transformedExcessKurtosis = st2.excessKurtosis();


        // Arrange scaled transformed data into ascending order
        Stat st5 = new Stat(data);
        this.sortedScaledTransformedData = (st5.sort()).array();
    }


   // Calculate standardized transformed data statistics
   private void standardizedTransformedDataStatistics(double[] data){
       // Calculate standardized transformed data statistics

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        // Calculate standardized transformed data statistics
        this.standardizedTransformedDataStatistics(this.standardizedTransformedData);


        // Obtain the intercept and gradient of the Gaussian probabilty plot
        Stat st4 = new Stat(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];

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        // Calculate standardized transformed data statistics
        this.standardizedTransformedDataStatistics(this.standardizedTransformedData);


        // Obtain the intercept and gradient of the Gaussian probabilty plot
        Stat st4 = new Stat(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];

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        this.standardizedTransformedQuartileSkewness = st3.quartileSkewness();
        this.standardizedTransformedExcessKurtosis = st3.excessKurtosis();


        // Obtain the intercept and gradient of the Gaussian probabilty plot
        Stat st4 = new Stat(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];

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        this.transformedQuartileSkewness = st2.quartileSkewness();
        this.transformedExcessKurtosis = st2.excessKurtosis();


        // Arrange scaled transformed data into ascending order
        Stat st5 = new Stat(this.scaledTransformedData);
        this.sortedScaledTransformedData = (st5.sort()).array();


        // end of method and return transformed data
        this.transformDone = true;
        return this.transformedData;

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