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


            return standardErrors;
        }

View Full Code Here


      // 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;
        }

View Full Code Here

            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;
        }

View Full Code Here


      // 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;
        }

View Full Code Here

            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;
        }

View Full Code Here


      // 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;
        }

View Full Code Here

            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;
        }

View Full Code Here

        else{
            for(int i=0; i<nData; i++)yTransform[i] = (Math.pow(shiftedData[i], x[0]) - 1.0)/x[0];
        }


        // Sort transformed array into ascending order
        am = new Stat(yTransform);
        am = am.sort();


        yTransform = am.standardize();


        // Calculate and return probability plot correlation coefficient

View Full Code Here

    }


   // 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();
    }

View Full Code Here

        // 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;

View Full Code Here

0 1 2 3 4 5 6 7 8 9

TOP

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

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.