Examples of flanagan.analysis.Stat

flanagan.analysis.Stat

                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
        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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            for(int i=0; i<this.numberOfColumns; i++){
                double[] hold = new double[this.numberOfRows];
                for(int j=0; j<this.numberOfRows; j++){
                    hold[i] = this.matrix[j][i];
                }
                Stat st = new Stat(hold);
                ranges[i] = st.maximum() - st.minimum();
            }


            return ranges;
        }

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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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        // Returns medians of the rows
        public double[] rowMedians(){
            double[] medians = new double[this.numberOfRows];
            for(int i=0; i<this.numberOfRows; i++){
                Stat st = new Stat(this.matrix[i]);
                medians[i] = st.median();
            }


            return medians;
        }

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            for(int i=0; i<this.numberOfColumns; i++){
                double[] hold = new double[this.numberOfRows];
                for(int j=0; j<this.numberOfRows; j++){
                    hold[i] = this.matrix[j][i];
                }
                Stat st = new Stat(hold);
                medians[i] = st.median();
            }


            return medians;
        }

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


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


            return st.variance();
        }

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        // Returns variances of the rows
        public double[] rowVariances(){
            double[] variances = new double[this.numberOfRows];
            for(int i=0; i<this.numberOfRows; i++){
                Stat st = new Stat(this.matrix[i]);
                variances[i] = st.variance();
            }


            return variances;
        }

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            for(int i=0; i<this.numberOfColumns; i++){
                double[] hold = new double[this.numberOfRows];
                for(int j=0; j<this.numberOfRows; j++){
                    hold[i] = this.matrix[j][i];
                }
                Stat st = new Stat(hold);
                variances[i] = st.variance();
            }


            return variances;
        }

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        // STANDARD DEVIATION OF THE ELEMENTS
        // Returns standard deviation of all elements
        public double standardDeviation(){
            Stat st = new Stat(this.matrix[0]);


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


            return st.standardDeviation();
        }

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        // Returns standard deviations of the rows
        public double[] rowStandardDeviations(){
            double[] standardDeviations = new double[this.numberOfRows];
            for(int i=0; i<this.numberOfRows; i++){
                Stat st = new Stat(this.matrix[i]);
                standardDeviations[i] = st.standardDeviation();
            }


            return standardDeviations;
        }

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flanagan.analysis.BoxCox

flanagan.analysis.BoxCoxFunction

flanagan.circuits.Phasor

flanagan.integration.Integration

flanagan.interpolation.CubicSpline

flanagan.math.ArrayMaths

flanagan.math.Matrix

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