Examples of flanagan.analysis.Stat

flanagan.analysis.Stat

        double[] ama = amoriginalData.array();
        this.sod = new Stat(ama);
    }


    public BoxCox(ArrayList<Object> originalData){
        this.sod = new Stat(originalData);
    }

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    public BoxCox(ArrayList<Object> originalData){
        this.sod = new Stat(originalData);
    }


    public BoxCox(Vector<Object> originalData){
        this.sod = new Stat(originalData);
    }

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                this.transformedData[i] = (Math.pow(this.shiftedStandardizedOriginalData[i], this.lambdaOne) - 1.0)/this.lambdaOne;
            }
        }


        // Standardize transformed data
        this.standardizedTransformedData =  (new Stat(this.transformedData)).standardize();


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


        // Obtain the intercept and gradient of the Gaussian probabilty plot

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    }


    // Calculate transformed data statistics
    private void transformedDataStatistics(double[] data){
        // Calculate transformed data statistics
        Stat st2 = new Stat(data);
        this.transformedMinimum = st2.minimum();
        this.transformedMaximum = st2.maximum();
        this.transformedMedian = st2.median();
        this.transformedRange = this.transformedMaximum - this.transformedMinimum;
        this.transformedMean = st2.mean();
        this.transformedStandardDeviation = st2.standardDeviation();
        this.transformedVariance = st2.variance();
        this.transformedMomentSkewness = st2.momentSkewness();
        this.transformedMedianSkewness = st2.medianSkewness();
        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();
    }

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    }


   // Calculate standardized transformed data statistics
   private void standardizedTransformedDataStatistics(double[] data){
       // Calculate standardized transformed data statistics
        Stat st3 = new Stat(data);
        this.standardizedTransformedMinimum = st3.minimum();
        this.standardizedTransformedMaximum = st3.maximum();
        this.standardizedTransformedMedian = st3.median();
        this.standardizedTransformedRange = this.standardizedTransformedMaximum - this.standardizedTransformedMinimum;
        this.standardizedTransformedMean = 0.0;
        this.standardizedTransformedStandardDeviation = 1.0;
        this.standardizedTransformedVariance = 1.0;
        this.standardizedTransformedMomentSkewness = st3.momentSkewness();
        this.standardizedTransformedMedianSkewness = st3.medianSkewness();
        this.standardizedTransformedQuartileSkewness = st3.quartileSkewness();
        this.standardizedTransformedExcessKurtosis = st3.excessKurtosis();
    }

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        // Calculate inverse transformed data statistics
        this.transformedData = Conv.copy(this.inverseData);
        transformedDataStatistics(inverseData);


        // Standardize transformed data
        this.standardizedTransformedData =  (new Stat(this.transformedData)).standardize();


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


        this.inverseDone = true;

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                this.transformedData[i] = (Math.pow(this.shiftedStandardizedOriginalData[i], this.lambdaOne) - 1.0)/this.lambdaOne;
            }
        }


        // Standardize transformed data
        this.standardizedTransformedData =  (new Stat(this.transformedData)).standardize();


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


        // Obtain the intercept and gradient of the Gaussian probabilty plot

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                weights[i] = 1.0;
            }
        }


        // Calculate mean and sd
        Stat stat= new Stat(weights);
        this.weightsMean = stat.mean();
        this.weightsSD = stat.standardDeviation();


        // check for zero and replace by mean/100
        for(int i=0; i<this.nWeights; i++){
            if(weights[i]==0.0){
                weights[i] = this.weightsMean/100.0;

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                respe[i] = respe[i-1] + incr;
            }
            for(int i=0; i<1001; i++){
                xerre[i] = cspe.interpolate(respe[i]);
            }
            Stat stat = new Stat(xerre);
            this.minimumAerror = stat.minimum();
            this.maximumAerror = stat.maximum();
            this.meanAerror = stat.mean();
            this.sdAerror = stat.standardDeviation();
        }
    }

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        // MEDIAN OF THE ELEMENTS
        // Returns median of all elements
        public double median(){
            Stat st = new Stat(this.matrix[0]);


            for(int i=1; i<this.numberOfRows; i++){
                st.concatenate(this.matrix[i]);
            }


            return st.median();
        }

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Related Classes of flanagan.analysis.Stat

flanagan.analysis.BoxCox

flanagan.analysis.BoxCoxFunction

flanagan.circuits.Phasor

flanagan.integration.Integration

flanagan.interpolation.CubicSpline

flanagan.math.ArrayMaths

flanagan.math.Matrix

flanagan.physchem.ImmunoAssay

flanagan.plot.PlotGraph

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