Пример #1
0
 private void showioerror() {
   IJ.showMessage("Error in file io");
 }
 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;
 }
Пример #3
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();
    }
  }
Пример #4
0
 public void run(String arg) {
   Frame[] niframes = WindowManager.getNonImageWindows();
   String[] titles = new String[niframes.length + 1];
   for (int i = 0; i < niframes.length; i++) {
     titles[i] = niframes[i].getTitle();
   }
   titles[niframes.length] = "Clipboard";
   GenericDialog gd = new GenericDialog("Windows");
   boolean importfile = false;
   gd.addCheckbox("Import from file?", importfile);
   gd.addChoice("Windows", titles, titles[0]);
   boolean hasxvals = false;
   gd.addCheckbox("X Vals Column?", hasxvals);
   boolean multix = false;
   gd.addCheckbox("Multi_X_Columns?", multix);
   boolean skipendzeros = false;
   gd.addCheckbox("Skip_end_zeros?", skipendzeros);
   String[] delimiters = {"Tab", "Comma", "Space"};
   gd.addChoice("Delimiter", delimiters, delimiters[0]);
   gd.showDialog();
   if (gd.wasCanceled()) {
     return;
   }
   importfile = gd.getNextBoolean();
   int index = gd.getNextChoiceIndex();
   hasxvals = gd.getNextBoolean();
   multix = gd.getNextBoolean();
   skipendzeros = gd.getNextBoolean();
   int delimindex = gd.getNextChoiceIndex();
   if (multix) hasxvals = true;
   String textdata = "";
   if (importfile) {
     OpenDialog od = new OpenDialog("Open File", "", ".txt");
     String directory = od.getDirectory();
     String name = od.getFileName();
     if (name == null) {
       return;
     }
     try {
       File infile = new File(directory + name);
       BufferedReader b = new BufferedReader(new FileReader(infile));
       textdata = (new jdataio()).readstringfile(b);
       b.close();
     } catch (IOException e) {
       return;
     }
   } else {
     if (index == niframes.length) {
       // here we get the data from the clipboard
       Transferable t = Toolkit.getDefaultToolkit().getSystemClipboard().getContents(null);
       try {
         if (t != null && t.isDataFlavorSupported(DataFlavor.stringFlavor)) {
           textdata = (String) t.getTransferData(DataFlavor.stringFlavor);
         }
       } catch (UnsupportedFlavorException e) {
       } catch (IOException e) {
       }
       if (textdata.equals("")) {
         IJ.error("Error copying from clipboard.");
         return;
       }
     } else {
       if (niframes[index] instanceof Editor) {
         Editor tw = (Editor) niframes[index];
         textdata = tw.getText();
       } else {
         if (niframes[index] instanceof TextWindow) {
           TextWindow tw = (TextWindow) niframes[index];
           textdata = tw.getTextPanel().getText();
         } else {
           IJ.showMessage("Not a valid text window");
           return;
         }
       }
     }
   }
   if (textdata == null) {
     IJ.showMessage("Error in Obtaining String");
     return;
   }
   if (textdata.indexOf("\r") >= 0) {
     textdata = textdata.replace('\r', '\n');
   }
   char[] delims = {'\t', ',', ' '};
   delimit_string ds = new delimit_string(delims[delimindex]);
   String[] rows = ds.getrows(textdata);
   int lines = rows.length;
   int columns = ds.getnumcolumns(rows[0]);
   int ycolumns = columns;
   if (hasxvals) {
     if (multix) {
       ycolumns /= 2;
     } else {
       ycolumns--;
     }
   }
   if (multix) {
     float[][] ydata = new float[ycolumns][lines];
     float[][] xdata = new float[ycolumns][lines];
     for (int i = 0; i < lines; i++) {
       float[] temp = ds.delim2float(rows[i], columns);
       for (int j = 0; j < ycolumns; j++) {
         ydata[j][i] = temp[2 * j + 1];
         xdata[j][i] = temp[2 * j];
       }
     }
     int[] npts = new int[ycolumns];
     for (int i = 0; i < ycolumns; i++) {
       npts[i] = lines;
     }
     if (skipendzeros) {
       for (int i = 0; i < ycolumns; i++) {
         int counter = lines - 1;
         while ((xdata[i][counter] == 0.0f || Float.isNaN(xdata[i][counter])) && counter > 0) {
           xdata[i][counter] = 0.0f;
           ydata[i][counter] = 0.0f;
           npts[i]--;
           counter--;
         }
       }
     }
     (new PlotWindow4("Text Plot", "x", "y", xdata, ydata, npts)).draw();
   } else {
     float[][] tempydata = new float[ycolumns][lines];
     float[] tempxdata = new float[lines];
     float[][] xdata = null;
     float[][] ydata = null;
     int startcolumn = 0;
     if (hasxvals) startcolumn = 1;
     for (int i = 0; i < lines; i++) {
       float[] temp = ds.delim2float(rows[i], columns);
       if (hasxvals) {
         tempxdata[i] = temp[0];
       } else {
         tempxdata[i] = (float) (i + 1);
       }
       for (int j = 0; j < ycolumns; j++) {
         tempydata[j][i] = temp[j + startcolumn];
       }
     }
     int[] npts = new int[ycolumns];
     npts[0] = lines;
     if (skipendzeros) {
       int maxpts = 0;
       for (int i = 0; i < ycolumns; i++) {
         int counter = lines - 1;
         npts[i] = lines;
         while ((tempydata[i][counter] == 0.0f || Float.isNaN(tempydata[i][counter]))
             && counter > 0) {
           npts[i]--;
           counter--;
         }
         if (npts[i] > maxpts) maxpts = npts[i];
         IJ.log("" + npts[i]);
       }
       ydata = new float[ycolumns][maxpts];
       xdata = new float[ycolumns][maxpts];
       for (int i = 0; i < ycolumns; i++) {
         // npts[i]=npts[0];
         System.arraycopy(tempxdata, 0, xdata[i], 0, npts[i]);
         System.arraycopy(tempydata[i], 0, ydata[i], 0, npts[i]);
       }
     } else {
       ydata = tempydata;
       xdata = new float[ycolumns][];
       for (int i = 0; i < ycolumns; i++) {
         npts[i] = npts[0];
         xdata[i] = tempxdata.clone();
       }
     }
     (new PlotWindow4("Text Plot", "x", "y", xdata, ydata, npts)).draw();
   }
 }