コード例 #1
0
  public void run(String arg) {
    ImageWindow iw = WindowManager.getCurrentWindow();
    pw = jutils.getPW4SelCopy(iw);
    String title = pw.getTitle();
    float[][] yvals = pw.getYValues();
    float[][] xvals = pw.getXValues();
    int length = yvals[0].length;
    if (pw.getShowErrors()) errs = pw.getErrors(0, false);
    int[] colors = pw.getColors();
    colors[0] = 0;
    ScriptEngineManager manager = new ScriptEngineManager();
    engine = manager.getEngineByName("js");
    ce = (Compilable) engine;
    // hitcounter=0;

    c2 = 0.0f;
    iterations = 0;
    checkc2 = false;

    double[] stats = new double[3];
    tempx = new float[length];
    tempdata = new float[length];
    System.arraycopy(xvals[0], 0, tempx, 0, length);
    System.arraycopy(yvals[0], 0, tempdata, 0, length);
    pw.addPoints(tempx, new float[tempx.length], false);
    series = pw.getNpts().length - 1;
    double[] params = new double[10];
    int[] fixes = {0, 0, 0, 1, 1, 1, 1, 1, 1, 1};
    init_options(params, fixes);
    if (!init_functions()) {
      return;
    }

    while (showoptions(params, fixes)) {
      NLLSfit_v2 fitclass;
      if (checkc2) {
        fitclass = new NLLSfit_v2(this, 0);
      } else {
        fitclass = new NLLSfit_v2(this, 0.0001, 50, 0.1);
      }
      float[] fit = fitclass.fitdata(params, fixes, constraints, yvals[0], weights, stats, true);
      pw.updateSeries(fit, series, false);
      c2 = (float) stats[1];
      iterations = (int) stats[0];
    }

    IJ.log("Chi Squared = " + (float) stats[1]);
    IJ.log("Iterations = " + (int) stats[0]);
    for (int i = 0; i < 10; i++) {
      IJ.log("P" + (i + 1) + " = " + (float) params[i] + " fixed = " + fixes[i]);
    }
    IJ.log("AIC = " + (float) stats[2]);
    // IJ.log("hits = "+hitcounter);
    set_options(params, fixes);
  }
コード例 #2
0
 boolean init_functions() {
   GenericDialog gd = new GenericDialog("Fitting Options");
   gd.addStringField("Extra Definitions", exdef, 50);
   gd.addCheckbox("Weight Using Plot Errors", false);
   gd.addStringField("Weighting Equation (y is for data)", weightfunction, 50);
   gd.addStringField("Fit_Equation", function, 50);
   gd.showDialog();
   if (gd.wasCanceled()) {
     return false;
   }
   exdef = gd.getNextString();
   boolean errweights = gd.getNextBoolean();
   weightfunction = gd.getNextString();
   function = gd.getNextString();
   // first initialize the weights
   weights = new float[tempdata.length];
   if (errweights
       || weightfunction.equals("")
       || weightfunction == null
       || weightfunction == "1.0") {
     if (errweights) {
       for (int i = 0; i < tempdata.length; i++) weights[i] = 1.0f / (errs[i] * errs[i]);
     } else {
       for (int i = 0; i < tempdata.length; i++) weights[i] = 1.0f;
     }
   } else {
     for (int i = 0; i < tempdata.length; i++) {
       String script =
           "y =" + tempdata[i] + "; " + "x =" + tempx[i] + "; " + "retval=" + weightfunction + ";";
       Double temp = new Double(0.0);
       try {
         temp = (Double) engine.eval(script);
       } catch (Exception e) {
         IJ.log(e.getMessage());
       }
       if (!(temp.isInfinite() || temp.isNaN())) {
         weights[i] = temp.floatValue();
       }
     }
   }
   // now compile the function script
   try {
     String script1 = exdef + "; retval=" + function + ";";
     cs = ce.compile(script1);
   } catch (Exception e) {
     IJ.log(e.toString());
     return false;
   }
   return true;
 }
コード例 #3
0
 public double[] fitfunc(double[] fitparams) {
   Bindings b = engine.createBindings();
   for (int i = 0; i < 10; i++) b.put("P" + (i + 1), fitparams[i]);
   /*String script1="P1="+fitparams[0]+"; "+
   "P2="+fitparams[1]+"; "+
   "P3="+fitparams[2]+"; "+
   "P4="+fitparams[3]+"; "+
   "P5="+fitparams[4]+"; "+
   "P6="+fitparams[5]+"; "+
   "P7="+fitparams[6]+"; "+
   "P8="+fitparams[7]+"; "+
   "P9="+fitparams[8]+"; "+
   "P10="+fitparams[9]+"; "+
   exdef+"; x=";
   String script2="; retval="+function+";";*/
   try {
     double[] temp = new double[tempx.length];
     for (int i = 0; i < tempx.length; i++) {
       // temp[i]=((Double)engine.eval(script1+(double)tempx[i]+script2)).doubleValue();
       b.put("x", tempx[i]);
       b.put("y", tempdata[i]);
       temp[i] = (Double) cs.eval(b);
     }
     return temp;
   } catch (Exception e) {
     IJ.log(e.getMessage());
     return null;
   }
 }
コード例 #4
0
  private void fitglobal() {
    int nparams = 11;
    int nsel = 0;
    for (int i = 0; i < ncurves; i++) {
      if (include[i]) {
        nsel++;
      }
    }
    double[][] params = new double[nsel][nparams];
    String[][] tempformulas = new String[nsel][nparams];
    double[][][] constraints = new double[2][nsel][nparams];
    int[][] vflmatrix = new int[nsel][nparams];

    int counter = 0;
    for (int i = 0; i < ncurves; i++) {
      if (include[i]) {
        for (int j = 0; j < nparams; j++) {
          params[counter][j] = globalparams[i][j];
          tempformulas[counter][j] = globalformulas[i][j];
          constraints[0][counter][j] = globalconstraints[0][i][j];
          constraints[1][counter][j] = globalconstraints[1][i][j];
          vflmatrix[counter][j] = globalvflmatrix[i][j];
        }
        counter++;
      }
      for (int j = 0; j < nparams; j++) {
        undoparams[i][j] = globalparams[i][j];
        undoformulas[i][j] = globalformulas[i][j];
        undovflmatrix[i][j] = globalvflmatrix[i][j];
      }
      for (int j = 0; j < xpts; j++) {
        for (int k = 0; k < ypts; k++) {
          undofit[i][j][k] = fit[i][j][k];
        }
      }
      undoc2[i] = c2[i];
    }
    undoglobalc2 = globalc2;
    if (showglobalfitdialog(params, tempformulas, vflmatrix)) {
      counter = 0;
      for (int i = 0; i < ncurves; i++) {
        if (include[i]) {
          for (int j = 0; j < nparams; j++) {
            globalparams[i][j] = params[counter][j];
            globalformulas[i][j] = tempformulas[counter][j];
            globalvflmatrix[i][j] = vflmatrix[counter][j];
          }
          counter++;
        }
      }
      double[] stats = new double[2];
      float[][] tempdata = new float[nsel][xpts * ypts];
      float[][] tempweights = new float[nsel][xpts * ypts];
      counter = 0;
      for (int i = 0; i < ncurves; i++) {
        if (include[i]) {
          for (int j = 0; j < xpts; j++) {
            for (int k = 0; k < ypts; k++) {
              tempdata[counter][j + k * xpts] = (float) ((double) pch[i][j][k] / (double) nmeas[i]);
              tempweights[counter][j + k * xpts] = weights[i][j][k];
            }
          }
          counter++;
        }
      }
      int tempmaxiter = globalfitclass.maxiter;
      if (checkc2) {
        globalfitclass.changemaxiter(0);
      }
      double[] tempc2vals = new double[nsel];
      IJ.showStatus("Fitting Globally");
      float[][] tempfit =
          globalfitclass.fitdata(
              params,
              vflmatrix,
              tempformulas,
              paramsnames,
              constraints,
              tempdata,
              tempweights,
              stats,
              tempc2vals,
              false);
      IJ.showStatus("Fit Complete");
      globalfitclass.changemaxiter(tempmaxiter);
      globalc2 = stats[1];
      globalc2label.setText("Global chi^2 = " + (float) globalc2);
      counter = 0;
      for (int i = 0; i < ncurves; i++) {
        if (include[i]) {
          for (int j = 0; j < xpts; j++) {
            for (int k = 0; k < ypts; k++) {
              fit[i][j][k] = tempfit[counter][j + xpts * k] * (float) nmeas[i];
            }
          }
          if (i == dispcurve) {
            pwfit.updateSeries(fit[dispcurve], 1, true);
          }
          for (int j = 0; j < nparams; j++) {
            globalparams[i][j] = params[counter][j];
          }
          c2[i] = tempc2vals[counter];
          c2array[i].setText("" + (float) c2[i]);
          counter++;
        }
      }
      float[] temp = pwfit.getLimits();
      temp[4] = 1.0f;
      pwfit.setLimits(temp);
    }
  }
コード例 #5
0
 private void showioerror() {
   IJ.showMessage("Error in file io");
 }
コード例 #6
0
  public void run(String arg) {
    GenericDialog gd = new GenericDialog("Options");
    double sfreq = 20000.0;
    gd.addNumericField("Sampling Frequency?", sfreq, 1, 10, null);
    String[] psfchoice = {"3D Gaussian", "Gaus-Lorentz^2", "2D Gaussian"};
    gd.addChoice("PSF Type?", psfchoice, psfchoice[0]);
    String[] filetypechoice = {
      "Confocor 3 raw", "Short binary trajectory", "PlotWindow trajectory", "Ascii Text File"
    };
    gd.addChoice("File Type?", filetypechoice, filetypechoice[0]);
    boolean ch2green = true;
    gd.addCheckbox("Ch2 is green?", ch2green);
    gd.showDialog();
    if (gd.wasCanceled()) {
      return;
    }
    sfreq = gd.getNextNumber();
    int psfflag = gd.getNextChoiceIndex();
    int fileflag = gd.getNextChoiceIndex();
    ch2green = gd.getNextBoolean();
    int nfiles = 0;
    Object[] histograms = null;
    int xmax = 0;
    int ymax = 0;
    String[] names = null;
    if (fileflag < 2) {
      jdataio ioclass = new jdataio();
      File[] filearray = ioclass.openfiles(OpenDialog.getDefaultDirectory(), IJ.getInstance());
      if (filearray.length == 0) {
        return;
      }
      String dir = filearray[0].getAbsolutePath();
      int sepindex = dir.lastIndexOf(File.separator);
      String newdir = dir.substring(0, sepindex + 1);
      OpenDialog.setDefaultDirectory(newdir);
      nfiles = filearray.length / 2;
      if (nfiles > 25) {
        nfiles = 25;
      }
      histograms = new Object[nfiles];
      names = organize_c3_files(filearray);
      for (int i = 0; i < nfiles; i++) {
        try {
          int length1 = (int) (((double) filearray[2 * i].length() - 128.0) / 4.0);
          int length2 = (int) (((double) filearray[2 * i + 1].length() - 128.0) / 4.0);
          int length3 = (int) (((double) filearray[2 * i].length()) / 2.0);
          int length4 = (int) (((double) filearray[2 * i + 1].length()) / 2.0);
          InputStream instream = new BufferedInputStream(new FileInputStream(filearray[2 * i]));
          InputStream instream2 =
              new BufferedInputStream(new FileInputStream(filearray[2 * i + 1]));
          if (fileflag == 0) {
            int[] pmdata = new int[length1];
            int[] pmdata2 = new int[length2];
            if (!ioclass.skipstreambytes(instream, 128)) {
              showioerror();
              instream.close();
              return;
            }
            if (!ioclass.skipstreambytes(instream2, 128)) {
              showioerror();
              instream2.close();
              return;
            }
            if (!ioclass.readintelintfile(instream, length1, pmdata)) {
              showioerror();
              instream.close();
              return;
            }
            if (!ioclass.readintelintfile(instream2, length2, pmdata2)) {
              showioerror();
              instream2.close();
              return;
            }
            if (ch2green) {
              histograms[i] = (new pmodeconvert()).pm2pch(pmdata2, pmdata, sfreq, 20000000);
            } else {
              histograms[i] = (new pmodeconvert()).pm2pch(pmdata, pmdata2, sfreq, 20000000);
            }
          } else {
            float[] tmdata = new float[length3];
            float[] tmdata2 = new float[length4];
            if (!ioclass.readintelshortfile(instream, length3, tmdata)) {
              showioerror();
              instream.close();
              return;
            }
            if (!ioclass.readintelshortfile(instream2, length4, tmdata2)) {
              showioerror();
              instream2.close();
              return;
            }
            if (ch2green) {
              histograms[i] = (new pmodeconvert()).create_2Dhistogram(tmdata2, tmdata);
            } else {
              histograms[i] = (new pmodeconvert()).create_2Dhistogram(tmdata, tmdata2);
            }
          }
          if (((float[][]) histograms[i]).length > xmax) {
            xmax = ((float[][]) histograms[i]).length;
          }
          if (((float[][]) histograms[i])[0].length > ymax) {
            ymax = ((float[][]) histograms[i])[0].length;
          }
          instream.close();
          instream2.close();
        } catch (IOException e) {
          showioerror();
          return;
        }
      }
    } else {
      if (fileflag == 2) {
        ImageWindow iw = WindowManager.getCurrentWindow();
        float[][] trajectories = (float[][]) jutils.runPW4VoidMethod(iw, "getYValues");
        float[][] tempxvals = (float[][]) jutils.runPW4VoidMethod(iw, "getXValues");
        sfreq = 1.0 / ((double) tempxvals[0][1]);
        nfiles = trajectories.length / 2;
        if (nfiles > 25) {
          nfiles = 25;
        }
        names = new String[nfiles + 1];
        names[nfiles] = "avg";
        histograms = new Object[nfiles];
        for (int i = 0; i < nfiles; i++) {
          names[i] = "trajectory " + (i + 1);
          if (ch2green) {
            histograms[i] =
                (new pmodeconvert())
                    .create_2Dhistogram(trajectories[2 * i + 1], trajectories[2 * i]);
          } else {
            histograms[i] =
                (new pmodeconvert())
                    .create_2Dhistogram(trajectories[2 * i], trajectories[2 * i + 1]);
          }
          if (((float[][]) histograms[i]).length > xmax) {
            xmax = ((float[][]) histograms[i]).length;
          }
          if (((float[][]) histograms[i])[0].length > ymax) {
            ymax = ((float[][]) histograms[i])[0].length;
          }
        }
      } else {
        // here we read tab delimited lines from files
        jdataio ioclass = new jdataio();
        File[] filearray = ioclass.openfiles(OpenDialog.getDefaultDirectory(), IJ.getInstance());
        if (filearray.length == 0) {
          return;
        }
        String dir = filearray[0].getAbsolutePath();
        int sepindex = dir.lastIndexOf(File.separator);
        String newdir = dir.substring(0, sepindex + 1);
        OpenDialog.setDefaultDirectory(newdir);
        nfiles = filearray.length;
        if (nfiles > 25) {
          nfiles = 25;
        }
        histograms = new Object[nfiles];
        names = new String[nfiles + 1];
        names[nfiles] = "avg";
        for (int i = 0; i < nfiles; i++) {
          try {
            names[i] = filearray[i].getName();
            BufferedReader d = new BufferedReader(new FileReader(filearray[i]));
            String[] lines = new String[256];
            int counter = 0;
            do {
              lines[counter] = d.readLine();
              counter++;
            } while ((lines[counter - 1] != null && lines[counter - 1] != "") && counter < 256);
            int numcolumns = 0;
            for (int j = 0; j < counter - 1; j++) {
              int temp = getncolumns(lines[j]);
              if (temp > numcolumns) {
                numcolumns = temp;
              }
            }
            float[][] temphist2 = null;
            if (ch2green) {
              temphist2 = new float[numcolumns][counter - 1];
            } else {
              temphist2 = new float[counter - 1][numcolumns];
            }
            for (int k = 0; k < counter - 1; k++) {
              float[] temp = tab_delim2float(lines[k]);
              for (int j = 0; j < numcolumns; j++) {
                if (ch2green) {
                  temphist2[j][k] = temp[j];
                } else {
                  temphist2[k][j] = temp[j];
                }
              }
            }
            histograms[i] = temphist2;
            d.close();
          } catch (IOException e) {
            showioerror();
            return;
          }
        }
        for (int i = 0; i < nfiles; i++) {
          if (((float[][]) histograms[i]).length > xmax) {
            xmax = ((float[][]) histograms[i]).length;
          }
          if (((float[][]) histograms[i])[0].length > ymax) {
            ymax = ((float[][]) histograms[i])[0].length;
          }
        }
      }
    }
    // note that here x is green and y is red
    float[][][] pch = new float[nfiles][xmax][ymax];
    for (int i = 0; i < nfiles; i++) {
      for (int j = 0; j < ((float[][]) histograms[i]).length; j++) {
        for (int k = 0; k < ((float[][]) histograms[i])[j].length; k++) {
          pch[i][j][k] = ((float[][]) histograms[i])[j][k];
        }
      }
    }

    final PCH2DFitWindow cw = new PCH2DFitWindow();
    cw.init(names, pch, psfflag);

    final Frame f = new Frame("PCH 2D Analysis");
    f.setLocation(10, 10);
    f.addWindowListener(
        new WindowAdapter() {
          public void windowClosing(WindowEvent e) {
            f.dispose();
          }
        });

    f.add(cw);
    f.pack();
    f.setResizable(false);
    Insets ins = f.getInsets();
    cw.totalSize.height = PCH2DFitWindow.H + ins.bottom + ins.top + 65;
    cw.totalSize.width = PCH2DFitWindow.WR + ins.left + ins.right;
    f.setSize(cw.totalSize);
    f.setVisible(true);
    cw.requestFocus();
  }
コード例 #7
0
 public void showresults(String results) {
   IJ.showStatus(results);
   IJ.log(results);
 }
コード例 #8
0
  private void geterrors() {
    GenericDialog gd = new GenericDialog("Options");
    float conf = 0.67f;
    gd.addNumericField("Confidence Limit", (int) (conf * 100.0f), 5, 10, null);
    gd.addChoice("Error Parameter", paramsnames, paramsnames[0]);
    double spacing = 0.01;
    gd.addNumericField("Chi^2 plot spacing (% of value)?", spacing * 100.0, 2, 10, null);
    boolean globalerror = false;
    gd.addCheckbox("Global Fit Error?", globalerror);
    int dataset = 0;
    gd.addNumericField("Data Set (for Global Error)", dataset, 0);
    gd.showDialog();
    if (gd.wasCanceled()) {
      return;
    }
    conf = 0.01f * (float) gd.getNextNumber();
    int paramindex = (int) gd.getNextChoiceIndex();
    spacing = 0.01 * gd.getNextNumber();
    globalerror = gd.getNextBoolean();
    dataset = (int) gd.getNextNumber();

    if (globalerror) {
      support_plane_errors erclass = new support_plane_errors(this, 0.0001, 50, true, 0.1);
      int[] erindeces = {paramindex, dataset};
      // need to set up all the matrices
      int nsel = 0;
      int nparams = 11;
      for (int i = 0; i < ncurves; i++) {
        if (include[i]) {
          nsel++;
        }
      }
      double[][] params = new double[nsel][nparams];
      String[][] tempformulas = new String[nsel][nparams];
      double[][][] constraints = new double[2][nsel][nparams];
      int[][] vflmatrix = new int[nsel][nparams];

      float[][] tempdata = new float[nsel][xpts * ypts];
      float[][] tempweights = new float[nsel][xpts * ypts];

      int nfit = 0;
      int counter = 0;
      for (int i = 0; i < ncurves; i++) {
        if (include[i]) {
          for (int j = 0; j < nparams; j++) {
            params[counter][j] = globalparams[i][j];
            tempformulas[counter][j] = globalformulas[i][j];
            constraints[0][counter][j] = globalconstraints[0][i][j];
            constraints[1][counter][j] = globalconstraints[1][i][j];
            vflmatrix[counter][j] = globalvflmatrix[i][j];
            if (vflmatrix[counter][j] == 0 || (j == 0 && vflmatrix[counter][j] == 2)) {
              nfit++;
            }
          }
          for (int j = 0; j < xpts; j++) {
            for (int k = 0; k < ypts; k++) {
              tempdata[counter][j + k * xpts] = (float) ((double) pch[i][j][k] / (double) nmeas[i]);
              tempweights[counter][j + k * xpts] = weights[i][j][k];
            }
          }
          counter++;
        }
      }
      int dofnum = xpts * ypts * nsel - (nfit - 1) - 1;
      int dofden = xpts * ypts * nsel - nfit - 1;
      // double flim=FLimit(dofnum,dofden,(double)conf);
      double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
      IJ.log("FLimit = " + (float) flim);
      if (flim == Double.NaN && flim < 1.0) {
        IJ.showMessage("Invalid Limiting F Value");
        return;
      }
      double truespacing = Math.abs(params[erindeces[1]][erindeces[0]] * spacing);
      double[][] c2plot =
          erclass.geterrorsglobal(
              params,
              vflmatrix,
              tempformulas,
              paramsnames,
              constraints,
              tempdata,
              tempweights,
              flim,
              truespacing,
              erindeces);
      IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
      int templength = c2plot[0].length;
      float[][] c2plotf = new float[2][templength - 1];
      for (int i = 0; i < (templength - 1); i++) {
        c2plotf[0][i] = (float) c2plot[0][i + 1];
        c2plotf[1][i] = (float) c2plot[1][i + 1];
      }
      new PlotWindow4(
              "c2 plot",
              paramsnames[paramindex] + "[" + dataset + "]",
              "Chi^2",
              c2plotf[0],
              c2plotf[1])
          .draw();
    } else {
      support_plane_errors erclass = new support_plane_errors(this, 0.0001, 50, false, 0.1);
      int errindex = paramindex;

      float[] tempdata = new float[xpts * ypts];
      float[] tempweights = new float[xpts * ypts];
      for (int i = 0; i < xpts; i++) {
        for (int j = 0; j < ypts; j++) {
          tempdata[i + j * xpts] = (float) ((double) avg[i][j] / (double) nmeas[ncurves]);
          tempweights[i + j * xpts] = avgweights[i][j];
        }
      }

      int nfit = 0;
      for (int i = 0; i < 7; i++) {
        if (avgfixes[i] == 0) {
          nfit++;
        }
      }
      int dofnum = xpts * ypts - (nfit - 1) - 1;
      int dofden = xpts * ypts - nfit - 1;
      double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
      IJ.log("FLimit = " + (float) flim);
      if (flim == Double.NaN && flim < 1.0) {
        IJ.showMessage("Invalid Limiting F Value");
        return;
      }
      double truespacing = Math.abs(avgparams[errindex] * spacing);
      double[][] c2plot =
          erclass.geterrors(
              avgparams,
              avgfixes,
              avgconstraints,
              tempdata,
              tempweights,
              flim,
              truespacing,
              errindex);
      IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
      int templength = c2plot[0].length;
      float[][] c2plotf = new float[2][templength - 1];
      for (int i = 0; i < (templength - 1); i++) {
        c2plotf[0][i] = (float) c2plot[0][i + 1];
        c2plotf[1][i] = (float) c2plot[1][i + 1];
      }
      new PlotWindow4("c2 plot", paramsnames[errindex], "Chi^2", c2plotf[0], c2plotf[1]).draw();
    }
  }
コード例 #9
0
 public void showresults(String results) {
   if (redirect) tw.append(results);
   else IJ.log(results);
 }
コード例 #10
0
 public boolean get_errors(double[] params, int[] fixes) {
   GenericDialog gd = new GenericDialog("Error Options");
   String[] methods = {"Support Plane", "Monte Carlo"};
   gd.addChoice("Method", methods, methods[0]);
   float conf = 0.67f;
   gd.addNumericField("SP_Confidence Limit (%)", (int) (conf * 100.0f), 5, 10, null);
   String[] labels = {"P1", "P2", "P3", "P4", "P5", "P6", "P7", "P8", "P9", "P10"};
   gd.addChoice("SP_Parameter", labels, labels[0]);
   double spacing = 0.01;
   gd.addNumericField("SP_Chi^2_plot_spacing (% of value)?", spacing * 100.0, 2, 10, null);
   int ntrials = 100;
   gd.addNumericField("MC_#_Trials", ntrials, 0);
   gd.showDialog();
   if (gd.wasCanceled()) {
     return false;
   }
   int methodindex = gd.getNextChoiceIndex();
   conf = 0.01f * (float) gd.getNextNumber();
   int paramindex = gd.getNextChoiceIndex();
   spacing = 0.01 * gd.getNextNumber();
   ntrials = (int) gd.getNextNumber();
   if (methodindex == 0) {
     support_plane_errors_v2 erclass = new support_plane_errors_v2(this, 0.0001, 50, false, 0.1);
     int errindex = paramindex;
     int nfit = 0;
     for (int i = 0; i < labels.length; i++) {
       if (fixes[i] == 0) {
         nfit++;
       }
     }
     int npts = tempdata.length;
     int dofnum = npts - (nfit - 1) - 1;
     int dofden = npts - nfit - 1;
     double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
     IJ.log("FLimit = " + (float) flim);
     if (flim == Double.NaN && flim < 1.0) {
       IJ.showMessage("Invalid Limiting F Value");
       return false;
     }
     double truespacing = Math.abs(params[errindex] * spacing);
     double[][] c2plot =
         erclass.geterrors(
             params, fixes, constraints, tempdata, weights, flim, truespacing, errindex);
     IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
     IJ.log(
         "upper error = "
             + (c2plot[1][0] - params[errindex])
             + " lower error = "
             + (params[errindex] - c2plot[0][0]));
     int templength = c2plot[0].length;
     float[][] c2plotf = new float[2][templength - 1];
     for (int i = 0; i < (templength - 1); i++) {
       c2plotf[0][i] = (float) c2plot[0][i + 1];
       c2plotf[1][i] = (float) c2plot[1][i + 1];
     }
     new PlotWindow4("c2 plot", labels[errindex], "Chi^2", c2plotf[0], c2plotf[1]).draw();
   } else {
     StringBuffer sb = new StringBuffer();
     sb.append("Trial\t");
     for (int i = 0; i < labels.length; i++) {
       if (fixes[i] == 0) sb.append(labels[i] + "\t");
     }
     sb.append("chi^2");
     tw = new TextWindow("Monte Carlo Results", sb.toString(), "", 400, 400);
     redirect = true;
     monte_carlo_errors_v2 erclass = new monte_carlo_errors_v2(this, 0.0001, 50, false, 0.1);
     double[][] errors = erclass.geterrors(params, fixes, constraints, tempdata, weights, ntrials);
     sb = new StringBuffer();
     sb.append("StDev\t");
     for (int i = 0; i < errors.length; i++) {
       float[] ferr = new float[errors[0].length];
       for (int j = 0; j < ferr.length; j++) ferr[j] = (float) errors[i][j];
       float stdev = jstatistics.getstatistic("StDev", ferr, null);
       sb.append("" + stdev);
       if (i < (errors.length - 1)) sb.append("\t");
     }
     tw.append(sb.toString());
     redirect = false;
   }
   return true;
 }