private boolean plotCorrectionData() {
plot3d.removeAllPlots();
XYSeries series;
XYPlot plot = chartPanel.getChart().getXYPlot();
XYSeriesCollection lineDataset = (XYSeriesCollection) plot.getDataset(0);
DecimalFormat df = new DecimalFormat(".00");
String val;
int i = 0;
int j = 0;
if (!Utils.isTableEmpty(corrTable)) {
try {
for (i = 1; i < corrTable.getColumnCount(); ++i) {
val = corrTable.getValueAt(0, i).toString();
series = new XYSeries(df.format(Double.valueOf(val)));
for (j = 1; j < corrTable.getRowCount(); ++j) {
if (corrTable.getValueAt(j, i) != null) {
val = corrTable.getValueAt(j, i).toString();
if (!val.isEmpty())
series.add(
Double.valueOf(corrTable.getValueAt(j, 0).toString()), Double.valueOf(val));
}
}
if (series.getItemCount() > 0) {
corrData.add(series);
series.setDescription(series.getKey().toString());
lineDataset.addSeries(series);
}
}
plot.getDomainAxis(0).setAutoRange(true);
plot.getRangeAxis(0).setAutoRange(true);
plot.getDomainAxis(0).setLabel(xAxisName);
plot.getRangeAxis(0).setLabel(yAxisName);
plot.getRenderer(0).setSeriesVisible(0, false);
double[] x = new double[xAxisArray.size()];
for (i = 0; i < xAxisArray.size(); ++i) x[i] = xAxisArray.get(i);
double[] y = new double[yAxisArray.size()];
for (i = 0; i < yAxisArray.size(); ++i) y[i] = yAxisArray.get(i);
double[][] z = Utils.doubleZArray(corrTable, x, y);
Color[][] colors = Utils.generateTableColorMatrix(corrTable, 1, 1);
plot3d.addGridPlot("Average Error % Plot", colors, x, y, z);
} catch (NumberFormatException e) {
logger.error(e);
JOptionPane.showMessageDialog(
null,
"Error parsing number from "
+ corrTableName
+ " table, cell("
+ i
+ " : "
+ j
+ "): "
+ e,
"Error",
JOptionPane.ERROR_MESSAGE);
return false;
}
}
return true;
}
/**
* Clear a series
*
* @param seriesName Name of series to clear
*/
public void clear(String seriesName) {
for (XYSeries serie : seriesList) {
if (serie.getKey().toString().equals(seriesName)) {
serie.clear();
break;
}
}
}
/**
* Export chart values to a csv file
*
* @param file CSV file
*/
private void export(File file) {
String registro;
int n = 0;
int ne = 0;
String cabecera = "Time;";
for (int i = 0; i < plot.getDatasetCount(); i++) {
XYSeriesCollection ds = (XYSeriesCollection) plot.getDataset(i);
for (int j = 0; j < ds.getSeriesCount(); j++) {
n++;
XYSeries s = (XYSeries) ds.getSeries(j);
cabecera += s.getKey().toString() + ";";
if (n == 1) {
ne = s.getItemCount();
}
}
}
String[][] exportacion = new String[ne][n + 1];
n = 0;
for (int i = 0; i < plot.getDatasetCount(); i++) {
XYSeriesCollection ds = (XYSeriesCollection) plot.getDataset(i);
for (int j = 0; j < ds.getSeriesCount(); j++) {
XYSeries s = (XYSeries) ds.getSeries(j);
n++;
for (int e = 0; e < ne; e++) {
try {
exportacion[e][n] = ordinateFormat.format(s.getDataItem(e).getYValue());
} catch (Exception ex) {
exportacion[e][n] = "";
}
if (n == 1) {
exportacion[e][0] = abcissaFormat.format(s.getDataItem(e).getXValue());
}
}
}
}
FileWriter fichero;
PrintWriter pw;
try {
fichero = new FileWriter(file.getAbsolutePath(), false);
pw = new PrintWriter(fichero);
pw.println(cabecera);
for (String[] exp : exportacion) {
String strRegistro = "";
for (String e : exp) {
strRegistro += e + ";";
}
pw.println(strRegistro);
}
pw.close();
} catch (IOException ex) {
Global.info.log(ex);
}
}
/**
* Add sample to a series
*
* @param x Abcissa
* @param y Ordinate
* @param seriesName Series name
*/
@Override
public void addSample(double x, double y, String seriesName) {
for (XYSeries serie : seriesList) {
if (serie.getKey().toString().equals(seriesName)) {
serie.add(x, y);
break;
}
}
}
private XYIntervalSeries computeAcceptableDeviationData(double lowerBound, double upperBound) {
final XYSeries identity =
DatasetUtilities.sampleFunction2DToSeries(x -> x, lowerBound, upperBound, 100, "1:1 line");
final XYIntervalSeries xyIntervalSeries = new XYIntervalSeries(identity.getKey());
for (int i = 0; i < identity.getItemCount(); i++) {
XYDataItem item = identity.getDataItem(i);
final double x = item.getXValue();
final double y = item.getYValue();
if (scatterPlotModel.showAcceptableDeviation) {
final double acceptableDeviation = scatterPlotModel.acceptableDeviationInterval;
final double xOff = acceptableDeviation * x / 100;
final double yOff = acceptableDeviation * y / 100;
xyIntervalSeries.add(x, x - xOff, x + xOff, y, y - yOff, y + yOff);
} else {
xyIntervalSeries.add(x, x, x, y, y, y);
}
}
return xyIntervalSeries;
}
private XYIntervalSeries computeRegressionData(double xStart, double xEnd) {
if (scatterpointsDataset.getItemCount(0) > 1) {
final double[] coefficients = Regression.getOLSRegression(scatterpointsDataset, 0);
final Function2D curve = new LineFunction2D(coefficients[0], coefficients[1]);
final XYSeries regressionData =
DatasetUtilities.sampleFunction2DToSeries(curve, xStart, xEnd, 100, "regression line");
final XYIntervalSeries xyIntervalRegression = new XYIntervalSeries(regressionData.getKey());
for (int i = 0; i < regressionData.getItemCount(); i++) {
XYDataItem item = regressionData.getDataItem(i);
final double x = item.getXValue();
final double y = item.getYValue();
xyIntervalRegression.add(x, x, x, y, y, y);
}
return xyIntervalRegression;
} else {
JOptionPane.showMessageDialog(
this,
"Unable to compute regression line.\n"
+ "At least 2 values are needed to compute regression coefficients.");
return null;
}
}
/** Returns the name of the signal (the one which will be displaied in the signal display. */
public String getName() {
String name = data.getKey().toString();
return name;
}