public boolean dialogItemChanged(GenericDialog gd, AWTEvent e) {
checkc2 = gd.getNextBoolean();
double[] params = new double[10];
int[] fixes = new int[10];
for (int i = 0; i < params.length; i++) {
params[i] = gd.getNextNumber();
if (gd.getNextBoolean()) {
fixes[i] = 1;
} else {
fixes[i] = 0;
}
}
gd.getNextBoolean();
gd.getNextNumber();
gd.getNextNumber();
NLLSfit_v2 fitclass = new NLLSfit_v2(this, 0);
double[] stats = new double[2];
float[] fit = fitclass.fitdata(params, fixes, null, tempdata, null, stats, true);
pw.updateSeries(fit, series, false);
c2 = (float) stats[1];
return true;
}
public double[][] get_constraints(double[] params) {
// here we populate the constraints
GenericDialog gd = new GenericDialog("Constraints");
for (int i = 0; i < 10; i++) {
if (constraints == null) {
gd.addNumericField("P" + (i + 1) + "_upper", params[i], 5, 10, null);
gd.addNumericField("P" + (i + 1) + "_lower", params[i], 5, 10, null);
} else {
gd.addNumericField("P" + (i + 1) + "_upper", constraints[1][i], 5, 10, null);
gd.addNumericField("P" + (i + 1) + "_lower", constraints[0][i], 5, 10, null);
}
}
gd.showDialog();
if (gd.wasCanceled()) {
return null;
}
double[][] constraints = new double[2][10];
for (int i = 0; i < 10; i++) {
constraints[1][i] = gd.getNextNumber();
constraints[0][i] = gd.getNextNumber();
}
return constraints;
}
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;
}
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;
}
boolean showoptions(double[] params, int[] fixes) {
// GenericDialog gd=new NonBlockingGenericDialog("Options");
GenericDialog gd = new GenericDialog("Options");
gd.addCheckbox("Check Chi Squared", checkc2);
for (int i = 0; i < 10; i++) {
gd.addNumericField("P" + (i + 1), params[i], 5, 10, null);
gd.addCheckbox("Fix?", (fixes[i] == 1));
}
gd.addCheckbox("Get_Errors", false);
gd.addCheckbox("Set_Constraints", false);
gd.addNumericField("Iterations", iterations, 0, 10, null);
gd.addNumericField("chi squared", c2, 5, 10, null);
gd.addDialogListener(this);
gd.showDialog();
if (gd.wasCanceled()) {
return false;
}
checkc2 = gd.getNextBoolean();
for (int i = 0; i < 10; i++) {
params[i] = gd.getNextNumber();
if (gd.getNextBoolean()) {
fixes[i] = 1;
} else {
fixes[i] = 0;
}
}
boolean geterrors = gd.getNextBoolean();
boolean setconstraints = gd.getNextBoolean();
for (int i = 0; i < 10; i++) {
if (function.indexOf("P" + (i + 1)) < 0) {
fixes[i] = 1;
}
}
if (geterrors) {
if (!get_errors(params, fixes)) {
return false;
}
}
if (setconstraints) constraints = get_constraints(params);
return true;
}