Package flanagan.analysis

Examples of flanagan.analysis.Stat.minimum()

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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();
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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;
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            }
            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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      // 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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                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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                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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    // 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();
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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;
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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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