Examples of variance()


Examples of flanagan.analysis.Stat.variance()

        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();
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Examples of flanagan.analysis.Stat.variance()

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

            return st.variance();
        }

        // Returns variances of the rows
        public double[] rowVariances(){
            double[] variances = new double[this.numberOfRows];
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Examples of flanagan.analysis.Stat.variance()

        // 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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Examples of flanagan.analysis.Stat.variance()

                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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Examples of flanagan.analysis.Stat.variance()

        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();
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Examples of flanagan.analysis.Stat.variance()

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

            return st.variance();
        }

        // Returns variances of the rows
        public double[] rowVariances(){
            double[] variances = new double[this.numberOfRows];
View Full Code Here

Examples of flanagan.analysis.Stat.variance()

        // 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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Examples of flanagan.analysis.Stat.variance()

                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;
        }
View Full Code Here

Examples of flanagan.analysis.Stat.variance()

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

            return st.variance();
        }

        // Returns variances of the rows
        public double[] rowVariances(){
            double[] variances = new double[this.numberOfRows];
View Full Code Here

Examples of flanagan.analysis.Stat.variance()

        // 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;
        }
View Full Code Here
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