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);
}
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;
}