Package flanagan.plot

Examples of flanagan.plot.PlotGraph

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            // Get sum of squares
            this.gaussianSumOfSquares = min.getSumOfSquares();

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Gaussian Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Gaussian probability plot:   gradient = " + Fmath.truncate(this.gaussianLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.gaussianLine[0], 4) + ",  R = " + Fmath.truncate(this.gaussianCorrCoeff, 4));
            pg.setGraphTitle2("  mu = " + Fmath.truncate(this.gaussianParam[0], 4) + ", sigma = "  +  Fmath.truncate(this.gaussianParam[1], 4));

            // Plot
            pg.plot();

            this.gaussianDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.gaussianStandardLine[0] + this.gaussianStandardLine[1]*this.gaussianStandardOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Standard Gaussian Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Standard Gaussian probability plot:   gradient = " + Fmath.truncate(this.gaussianStandardLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.gaussianStandardLine[0], 4) + ",  R = " + Fmath.truncate(this.gaussianStandardCorrCoeff, 4));

            // Plot
            pg.plot();

            this.gaussianStandardDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.logisticLine[0] + this.logisticLine[1]*logisticOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Logistic Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Logistic probability plot:   gradient = " + Fmath.truncate(this.logisticLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.logisticLine[0], 4) + ",  R = " + Fmath.truncate(this.logisticCorrCoeff, 4));
            pg.setGraphTitle2("  mu = " + Fmath.truncate(this.logisticParam[0], 4) + ", beta = "  +  Fmath.truncate(this.logisticParam[1], 4));

            // Plot
            pg.plot();

            this.logisticDone = true;
            this.probPlotDone = true;
        }
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                data[3][i] = this.weibullLine[0] + this.weibullLine[1]*weibullOrderMedians[i];
            }


            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Weibull Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Weibull probability plot:   gradient = " + Fmath.truncate(this.weibullLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.weibullLine[0], 4) + ",  R = " + Fmath.truncate(this.weibullCorrCoeff, 4));
            pg.setGraphTitle2("  mu = " + Fmath.truncate(this.weibullParam[0], 4) + ", sigma = "  +  Fmath.truncate(this.weibullParam[1], 4) + ", gamma = "  +  Fmath.truncate(this.weibullParam[2], 4));

            // Plot
            pg.plot();

            this.weibullDone = true;
            this.probPlotDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.weibullTwoParLine[0] + this.weibullTwoParLine[1]*weibullTwoParOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Weibull Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Two Parameter Weibull probability plot:   gradient = " + Fmath.truncate(this.weibullTwoParLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.weibullTwoParLine[0], 4) + ",  R = " + Fmath.truncate(this.weibullTwoParCorrCoeff, 4));
            pg.setGraphTitle2("  mu = 0, sigma = "  +  Fmath.truncate(this.weibullTwoParParam[0], 4) + ", gamma = "  +  Fmath.truncate(this.weibullTwoParParam[1], 4));

            // Plot
            pg.plot();

            this.weibullTwoParDone = true;
            this.probPlotDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.weibullStandardLine[0] + this.weibullStandardLine[1]*weibullStandardOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Weibull Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Standard Weibull probability plot:   gradient = " + Fmath.truncate(this.weibullStandardLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.weibullStandardLine[0], 4) + ",  R = " + Fmath.truncate(this.weibullStandardCorrCoeff, 4));
            pg.setGraphTitle2("  mu = 0, sigma = 1, gamma = "  +  Fmath.truncate(this.weibullStandardParam[0], 4));

            // Plot
            pg.plot();

            this.weibullStandardDone = true;
            this.probPlotDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.exponentialLine[0] + this.exponentialLine[1]*exponentialOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Exponential Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Exponential probability plot:   gradient = " + Fmath.truncate(this.exponentialLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.exponentialLine[0], 4) + ",  R = " + Fmath.truncate(this.exponentialCorrCoeff, 4));
            pg.setGraphTitle2("  mu = " + Fmath.truncate(this.exponentialParam[0], 4) + ", sigma = "  +  Fmath.truncate(this.exponentialParam[1], 4));

            // Plot
            pg.plot();

            this.exponentialDone = true;
            this.probPlotDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.frechetLine[0] + this.frechetLine[1]*frechetOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Frechet Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Frechet probability plot:   gradient = " + Fmath.truncate(this.frechetLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.frechetLine[0], 4) + ",  R = " + Fmath.truncate(this.frechetCorrCoeff, 4));
            pg.setGraphTitle2("  mu = " + Fmath.truncate(this.frechetParam[0], 4) + ", sigma = "  +  Fmath.truncate(this.frechetParam[1], 4) + ", gamma = "  +  Fmath.truncate(this.frechetParam[2], 4));

            // Plot
            pg.plot();

            this.frechetDone = true;
            this.probPlotDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.gumbelMinLine[0] + this.gumbelMinLine[1]*gumbelMinOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Gumbel (minimum order statistic) Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Gumbel (minimum order statistic) probability plot:   gradient = " + Fmath.truncate(this.gumbelMinLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.gumbelMinLine[0], 4) + ",  R = " + Fmath.truncate(this.gumbelMinCorrCoeff, 4));
            pg.setGraphTitle2("  mu = " + Fmath.truncate(this.gumbelMinParam[0], 4) + ", sigma = "  +  Fmath.truncate(this.gumbelMinParam[1], 4));

            // Plot
            pg.plot();

            this.gumbelMinDone = true;
            this.probPlotDone = true;
        }
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            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.gumbelMaxLine[0] + this.gumbelMaxLine[1]*gumbelMaxOrderMedians[i];
            }

            // Create instance of PlotGraph
            PlotGraph pg = new PlotGraph(data);
            int[] points = {4, 0};
            pg.setPoint(points);
            int[] lines = {0, 3};
            pg.setLine(lines);
            pg.setXaxisLegend("Gumbel (maximum order statistic) Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Gumbel (maximum order statistic) probability plot:   gradient = " + Fmath.truncate(this.gumbelMaxLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.gumbelMaxLine[0], 4) + ",  R = " + Fmath.truncate(this.gumbelMaxCorrCoeff, 4));
            pg.setGraphTitle2("  mu = " + Fmath.truncate(this.gumbelMaxParam[0], 4) + ", sigma = "  +  Fmath.truncate(this.gumbelMaxParam[1], 4));

            // Plot
            pg.plot();

            this.gumbelMaxDone = true;
            this.probPlotDone = true;
        }
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Related Classes of flanagan.plot.PlotGraph

  • flanagan.analysis.ProbabilityPlot
  • flanagan.analysis.Regression
  • flanagan.analysis.Stat
  • flanagan.circuits.TransmissionLine
  • flanagan.control.BlackBox
  • flanagan.control.Prop
  • flanagan.control.PropDeriv
  • flanagan.control.PropInt
  • flanagan.control.PropIntDeriv
  • flanagan.io.DigiGraph
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