Package flanagan.analysis

Examples of flanagan.analysis.Stat.array()


        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];
        this.transformedGradient = coeff[1];
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        this.originalQuartileSkewness = this.sod.quartileSkewness();
        this.originalExcessKurtosis = this.sod.excessKurtosis();

        // Store original data sorted into ascending order
        Stat 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
        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];
        this.transformedGradient = coeff[1];
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        this.originalQuartileSkewness = this.sod.quartileSkewness();
        this.originalExcessKurtosis = this.sod.excessKurtosis();

        // Store original data sorted into ascending order
        Stat 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.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];
        this.transformedGradient = coeff[1];
View Full Code Here

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