Package flanagan.plot

Examples of flanagan.plot.PlotGraph.plot()

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        pg.setLine(3);
        pg.setNoYoffset(true);
        if(deadTime<(cdata[0][nPoints-1]-cdata[0][0]))pg.setNoXoffset(true);
        pg.setXlowFac(0.0D);
        pg.setYlowFac(0.0D);
        pg.plot();
    }


    // Returns the output term for a given time, coefficient, constant and power
    // for output = A.time^(n-1).exp(constant*time)/(n-1)!
 
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        pg.setGraphTitle2(this.getName());
        pg.setXaxisLegend("Time");
        pg.setXaxisUnitsName("s");
        pg.setYaxisLegend("Output");
        pg.setPoint(0);
        pg.plot();
    }

    // Plots the time course for a unit step input
    public void stepInput(double finalTime){
        this.stepInput(1.0D, finalTime);
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            pg.setGraphTitle2(this.getName());
            pg.setXaxisLegend("Time");
            pg.setXaxisUnitsName("s");
            pg.setYaxisLegend("Output");
            pg.setPoint(0);
            pg.plot();
        }
    }

    // Plots the time course for an nth order ramp input (t^n)
    public void rampInput(int rampOrder, double finalTime){
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            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;
        }

        public void normalProbabilityPlot(){
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            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;
        }

        public void normalStandardProbabilityPlot(){
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            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;
        }

        public void normalProbabilityPlot(){
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            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;
        }

        public void normalStandardProbabilityPlot(){
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            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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            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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            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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