Examples of flanagan.analysis.Stat

flanagan.analysis.Stat

            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);
                standardDeviations[i] = st.standardDeviation();
            }


            return standardDeviations;
        }

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


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


            return st.standardError();
        }

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        // Returns standard errors of the rows
        public double[] rowStandardErrors(){
            double[] standardErrors = new double[this.numberOfRows];
            for(int i=0; i<this.numberOfRows; i++){
                Stat st = new Stat(this.matrix[i]);
                standardErrors[i] = st.standardError();
            }


            return standardErrors;
        }

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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);
                standardErrors[i] = st.standardError();
            }


            return standardErrors;
        }

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


            return maxima;
        }

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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);
                maxima[i] = st.maximum();
            }


            return maxima;
        }

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


            return minima;
        }

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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);
                minima[i] = st.minimum();
            }


            return minima;
        }

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      // Returns ranges of the rows
        public double[] rowRanges(){
            double[] ranges = new double[this.numberOfRows];
            for(int i=0; i<this.numberOfRows; i++){
                Stat st = new Stat(this.matrix[i]);
                ranges[i] = st.maximum() - st.minimum();
            }


            return ranges;
        }

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    }


    // Copy to a new instance of Stat
    public Stat statCopy(){


        Stat am = new Stat();
        am.length = this.length;
        am.maxIndex = this.maxIndex;
        am.minIndex = this.minIndex;
        am.sumDone = this.sumDone;
        am.productDone = this.productDone;

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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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