Examples of flanagan.plot.PlotGraph

flanagan.plot.PlotGraph

            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;
        }

View Full Code Here

            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.rayleighLine[0] + this.rayleighLine[1]*rayleighOrderMedians[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("Rayleigh Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Rayleigh probability plot:   gradient = " + Fmath.truncate(this.rayleighLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.rayleighLine[0], 4) + ",  R = " + Fmath.truncate(this.rayleighCorrCoeff, 4));
            pg.setGraphTitle2("  beta = " + Fmath.truncate(this.rayleighParam[0], 4));


            // Plot
            pg.plot();


            this.rayleighDone = true;
            this.probPlotDone = true;
        }

View Full Code Here

            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.paretoLine[0] + this.paretoLine[1]*paretoOrderMedians[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("Pareto Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("Pareto probability plot:   gradient = " + Fmath.truncate(this.paretoLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.paretoLine[0], 4) + ",  R = " + Fmath.truncate(this.paretoCorrCoeff, 4));
            pg.setGraphTitle2("  alpha = " + Fmath.truncate(this.paretoParam[0], 4) + ", beta = "  +  Fmath.truncate(this.paretoParam[1], 4));


            // Plot
            pg.plot();


            this.paretoDone = true;
            this.probPlotDone = true;
        }

View Full Code Here

            for(int i=0; i<this.numberOfDataPoints; i++){
                data[3][i] = this.fDistributionLine[0] + this.fDistributionLine[1]*fDistributionOrderMedians[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("F-distribution Order Statistic Medians");
            pg.setYaxisLegend("Ordered Data Values");
            pg.setGraphTitle("F-distribution probability plot:   gradient = " + Fmath.truncate(this.fDistributionLine[1], 4) + ", intercept = "  +  Fmath.truncate(this.fDistributionLine[0], 4) + ",  R = " + Fmath.truncate(this.fDistributionCorrCoeff, 4));
            pg.setGraphTitle2("  nu1 = " + nu1 + ", nu2 = " + nu2);


            // Plot
            pg.plot();


            this.fDistributionDone = true;
            this.probPlotDone = true;
        }

View Full Code Here

                    // Create a title
                   title1 = this.setGandPtitle(title);
                  title2 = " points - experimental values;   line - best fit curve;  y data array " + jj;
                  if(weightOpt)title2 = title2 +";   error bars - weighting factors";


                    PlotGraph pg = new PlotGraph(data);


                    pg.setGraphTitle(title1);
                    pg.setGraphTitle2(title2);
                    pg.setXaxisLegend(this.xLegend);
                    pg.setYaxisLegend(this.yLegend);
                    int[] popt = {1,0};
                    pg.setPoint(popt);
                    int[] lopt = {0,3};
                    pg.setLine(lopt);
                    if(weightOpt)pg.setErrorBars(0,wWeight);


                    pg.plot();
                }
          }
          else{
                int ncurves = 2;
                int npoints = 200;
                if(npoints<this.nData0)npoints=this.nData0;
                if(this.lastMethod==6)npoints=this.nData0;
                String title1, title2;
                double[][] data = PlotGraph.data(ncurves, npoints);
                for(int i=0; i<this.nData0; i++){
                    data[0][i] = this.xData[0][i];
                    data[1][i] = this.yData[i];
                }
                if(this.lastMethod==6){
                    double[] xd = new double[this.nXarrays];
                    for(int i=0; i<npoints; i++){
                        data[2][i]=data[0][i];
                        xd[0] = data[2][i];
                        data[3][i] = g1.function(this.values, xd);
                    }
                }
                else{
                    double xmin =Fmath.minimum(xData[0]);
                    double xmax =Fmath.maximum(xData[0]);
                    double inc = (xmax - xmin)/(double)(npoints - 1);
                    data[2][0]=xmin;
                    for(int i=1; i<npoints; i++)data[2][i] = data[2][i-1] + inc;
                    double[] xd = new double[this.nXarrays];
                    for(int i=0; i<npoints; i++){
                        xd[0] = data[2][i];
                        data[3][i] = g1.function(this.values, xd);
                    }
                }


                // Create a title
               title1 = this.setGandPtitle(title);
              title2 = " points - experimental values;   line - best fit curve";
              if(weightOpt)title2 = title2 +";   error bars - weighting factors";


                PlotGraph pg = new PlotGraph(data);


                pg.setGraphTitle(title1);
                pg.setGraphTitle2(title2);
                pg.setXaxisLegend(this.xLegend);
                pg.setYaxisLegend(this.yLegend);
                int[] popt = {1,0};
                pg.setPoint(popt);
                int[] lopt = {0,3};
                pg.setLine(lopt);


                if(weightOpt)pg.setErrorBars(0,this.weight);


                pg.plot();
          }
      }
        return flag;
  }

View Full Code Here

            data[2][0]=Fmath.minimum(this.yData);
            data[3][0]=coef[0]+coef[1]*data[2][0];
            data[2][1]=Fmath.maximum(this.yData);
            data[3][1]=coef[0]+coef[1]*data[2][1];


            PlotGraph pg = new PlotGraph(data);


            pg.setGraphTitle(title0);
            pg.setGraphTitle2(title1);
            pg.setXaxisLegend("Experimental y value");
            pg.setYaxisLegend("Calculated y value");
            int[] popt = {1, 0};
            pg.setPoint(popt);
            int[] lopt = {0, 3};
            pg.setLine(lopt);


            pg.plot();
        }
    }

View Full Code Here

                  flag=-1;
                  return flag;
          }
      }


        PlotGraph pg = new PlotGraph(data);


        pg.setGraphTitle(title1);
        pg.setGraphTitle2(title2);
        pg.setXaxisLegend(this.xLegend);
        pg.setYaxisLegend(this.yLegend);
        int[] popt = {1,0};
        pg.setPoint(popt);
        int[] lopt = {0,3};
        pg.setLine(lopt);
        if(weightOpt)pg.setErrorBars(0,this.weight);
        pg.plot();


        return flag;
  }

View Full Code Here

                    // Create a title
                   title1 = this.setGandPtitle(title);
                  title2 = " points - experimental values;   line - best fit curve;  y data array " + jj;
                  if(weightOpt)title2 = title2 +";   error bars - weighting factors";


                    PlotGraph pg = new PlotGraph(data);


                    pg.setGraphTitle(title1);
                    pg.setGraphTitle2(title2);
                    pg.setXaxisLegend(this.xLegend);
                    pg.setYaxisLegend(this.yLegend);
                    int[] popt = {1,0};
                    pg.setPoint(popt);
                    int[] lopt = {0,3};
                    pg.setLine(lopt);
                    if(weightOpt)pg.setErrorBars(0,wWeight);


                    pg.plot();
                }
          }
          else{
                int ncurves = 2;
                int npoints = 200;
                if(npoints<this.nData0)npoints=this.nData0;
                if(this.lastMethod==6)npoints=this.nData0;
                String title1, title2;
                double[][] data = PlotGraph.data(ncurves, npoints);
                for(int i=0; i<this.nData0; i++){
                    data[0][i] = this.xData[0][i];
                    data[1][i] = this.yData[i];
                }
                if(this.lastMethod==6){
                    double[] xd = new double[this.nXarrays];
                    for(int i=0; i<npoints; i++){
                        data[2][i]=data[0][i];
                        xd[0] = data[2][i];
                        data[3][i] = g1.function(best, xd);
                    }
                }
                else{
                    double xmin =Fmath.minimum(xData[0]);
                    double xmax =Fmath.maximum(xData[0]);
                    double inc = (xmax - xmin)/(double)(npoints - 1);
                    data[2][0]=xmin;
                    for(int i=1; i<npoints; i++)data[2][i] = data[2][i-1] + inc;
                    double[] xd = new double[this.nXarrays];
                    for(int i=0; i<npoints; i++){
                        xd[0] = data[2][i];
                        data[3][i] = g1.function(best, xd);
                    }
                }


                // Create a title
               title1 = this.setGandPtitle(title);
              title2 = " points - experimental values;   line - best fit curve";
              if(weightOpt)title2 = title2 +";   error bars - weighting factors";


                PlotGraph pg = new PlotGraph(data);


                pg.setGraphTitle(title1);
                pg.setGraphTitle2(title2);
                pg.setXaxisLegend(this.xLegend);
                pg.setYaxisLegend(this.yLegend);
                int[] popt = {1,0};
                pg.setPoint(popt);
                int[] lopt = {0,3};
                pg.setLine(lopt);


                if(weightOpt)pg.setErrorBars(0,this.weight);


                pg.plot();
          }
      }
        return flag;
  }

View Full Code Here

                cdata[0][k]=cdata[0][k-1];
                cdata[1][k]=0.0D;
                k++;
            }


            PlotGraph pg = new PlotGraph(cdata);
            pg.setGraphTitle("Histogram:  Bin Width = "+binWidth);
            pg.setLine(3);
            pg.setPoint(0);
            pg.setYaxisLegend("Frequency");
            if(xLegend!=null)pg.setXaxisLegend(xLegend);
            pg.plot();


            return results;
        }

View Full Code Here

            cdata[1][i] = kpterm;
        }
        if(super.deadTime!=0.0D)for(int i=0; i<n; i++)cdata[0][i] += super.deadTime;


        // Plot
        PlotGraph pg = new PlotGraph(cdata);


        pg.setGraphTitle("Step Input Transient:   Step magnitude = "+stepMag);
        pg.setGraphTitle2(this.getName());
        pg.setXaxisLegend("Time");
        pg.setXaxisUnitsName("s");
        pg.setYaxisLegend("Output");
        pg.setPoint(0);
        pg.plot();
    }

View Full Code Here

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flanagan.analysis.Regression

flanagan.analysis.Stat

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flanagan.control.BlackBox

flanagan.control.Prop

flanagan.control.PropDeriv

flanagan.control.PropInt

flanagan.control.PropIntDeriv

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