public static DefaultBoxAndWhiskerCategoryDataset getDatasetForBoxAndWhiskers(
ObservableList<EvaluationHelper> allEvaluationHelper, ArrayList<Bereich> bereiche) {
int categoryCount = bereiche.size();
int entityCount = allEvaluationHelper.size();
final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
for (int j = 0; j < categoryCount; j++) {
final List<Double> list = new ArrayList<Double>();
for (int k = 0; k < entityCount; k++) {
int valCount = 0;
double avValue = 0;
for (Item item : allEvaluationHelper.get(k).getItems()) {
if (bereiche.get(j).equals(item.getBereich())) {
if (!allEvaluationHelper.get(k).getItemWertung().get(valCount).isEmpty()) {
avValue +=
Double.parseDouble(allEvaluationHelper.get(k).getItemWertung().get(valCount));
}
valCount++;
}
}
if (valCount != 0) {
avValue /= valCount;
}
list.add(new Double(avValue));
}
dataset.add(
list,
SeCatResourceBundle.getInstance().getString("scene.chart.all.averagevalues"),
bereiche.get(j).getName());
}
return dataset;
}
/**
* Adds a list of values relating to one box-and-whisker entity to the table. The various median
* values are calculated.
*
* @param list a collection of values from which the various medians will be calculated.
* @param rowKey the row key (<code>null</code> not permitted).
* @param columnKey the column key (<code>null</code> not permitted).
* @see #add(BoxAndWhiskerItem, Comparable, Comparable)
*/
public void add(List list, Comparable rowKey, Comparable columnKey) {
BoxAndWhiskerItem item = BoxAndWhiskerCalculator.calculateBoxAndWhiskerStatistics(list);
add(item, rowKey, columnKey);
}
/**
* Creates a sample dataset.
*
* @return A sample dataset.
*/
private BoxAndWhiskerCategoryDataset createSampleDataset(ArrayList<Double> Pf) {
final int seriesCount = 5;
final int categoryCount = 4;
final int entityCount = 22;
// String sDirectorio = "experiments\\2015-10-30-mazeoff";
File f = new File(experimentsDir);
String extension;
File[] files = f.listFiles();
Hashtable<String, String> Pop = new Hashtable<>();
PrintWriter escribir;
Scanner sc = null;
ArrayList<Integer> aPops = new ArrayList<>();
ArrayList<Double> aPf = new ArrayList<>();
ArrayList<String> aTech = new ArrayList<>();
Hashtable<String, List> info = new Hashtable();
// String[] aMode = {"levywalk", "lwphevap", "hybrid", "hybrid3", "hybrid4"};
for (String mode : aMode) {
info.put(mode, new ArrayList());
}
final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
for (File file : files) {
extension = "";
int i = file.getName().lastIndexOf('.');
int p = Math.max(file.getName().lastIndexOf('/'), file.getName().lastIndexOf('\\'));
if (i > p) {
extension = file.getName().substring(i + 1);
}
// System.out.println(file.getName() + "extension" + extension);
if (file.isFile() && extension.equals("csv") && file.getName().startsWith("dataCollected")) {
System.out.println(file.getName());
System.out.println("get: " + file.getName());
String[] filenamep = file.getName().split(Pattern.quote("+"));
System.out.println("file" + filenamep[8]);
int popsize = Integer.valueOf(filenamep[3]);
double pf = Double.valueOf(filenamep[5]);
String mode = filenamep[7];
int maxIter = -1;
// if (!filenamep[8].isEmpty()) {
maxIter = Integer.valueOf(filenamep[9]);
// }
System.out.println("psize:" + popsize);
System.out.println("pf:" + pf);
System.out.println("mode:" + mode);
System.out.println("maxIter:" + maxIter);
// String[] aMode = {"random", "levywalk", "sandc", "sandclw"};
// String[] aMode = {"levywalk", "lwphevap", "hybrid", "hybrid3", "hybrid4", "sequential"};
// String[] aMode = {"levywalk", "lwphevap", "hybrid", "sequential"};
if (
/*Pf == pf && */ isInMode(aMode, mode)) {
final List list = new ArrayList();
try {
sc = new Scanner(file);
} catch (FileNotFoundException ex) {
Logger.getLogger(DataCollectedLatexConsolidatorSASOMessagesSend1.class.getName())
.log(Level.SEVERE, null, ex);
}
int roundNumber = 0;
double globalInfoCollected = 0;
String[] data = null;
while (sc.hasNext()) {
String line = sc.nextLine();
data = line.split(",");
// System.out.println("data");
roundNumber = Integer.valueOf(data[0]);
globalInfoCollected = Double.valueOf(data[4]);
if (globalInfoCollected >= 90 && Pf.contains(pf)) {
info.get(mode).add(roundNumber);
break;
}
}
LOGGER.debug("Adding series " + i);
LOGGER.debug(list.toString());
if (Pf.contains(pf)) {
/*pf == 1.0E-4 || pf == 3.0E-4*/
if (Pf.size() == 1) {
dataset.add(list, popsize, getTechniqueName(mode));
} else {
dataset.add(list, String.valueOf(popsize) + "-" + pf, getTechniqueName(mode));
}
}
}
}
}
for (String key : info.keySet()) {
System.out.println(key + ":" + info.get(key).size() / 30 * 100.0);
dataset.add(info.get(key), 10, getTechniqueName(key));
}
return dataset;
}
/**
* Creates a sample dataset.
*
* @return A sample dataset.
*/
private BoxAndWhiskerCategoryDataset createSampleDataset(ArrayList<Double> Pf) {
final int seriesCount = 5;
final int categoryCount = 4;
final int entityCount = 22;
String sDirectorio = experimentsDir;
File f = new File(sDirectorio);
String extension;
File[] files = f.listFiles();
Hashtable<String, String> Pop = new Hashtable<>();
PrintWriter escribir;
Scanner sc = null;
ArrayList<Integer> aPops = new ArrayList<>();
ArrayList<Double> aPf = new ArrayList<>();
ArrayList<String> aTech = new ArrayList<>();
final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
for (File file : files) {
extension = "";
int i = file.getName().lastIndexOf('.');
int p = Math.max(file.getName().lastIndexOf('/'), file.getName().lastIndexOf('\\'));
if (i > p) {
extension = file.getName().substring(i + 1);
}
// System.out.println(file.getName() + "extension" + extension);
if (file.isFile()
&& extension.equals("csv")
&& file.getName().startsWith("experiment")
&& file.getName().contains(mazeMode)) {
System.out.println(file.getName());
System.out.println("get: " + file.getName());
String[] filenamep = file.getName().split(Pattern.quote("+"));
System.out.println("file" + filenamep[8]);
int popsize = Integer.valueOf(filenamep[2]);
double pf = Double.valueOf(filenamep[4]);
String mode = filenamep[6];
int maxIter = -1;
// if (!filenamep[8].isEmpty()) {
maxIter = Integer.valueOf(filenamep[8]);
// }
System.out.println("psize:" + popsize);
System.out.println("pf:" + pf);
System.out.println("mode:" + mode);
System.out.println("maxIter:" + maxIter);
// String[] aMode = {"random", "levywalk", "sandc", "sandclw"};
if (
/*Pf == pf && */ isInMode(aMode, mode)) {
final List list = new ArrayList();
try {
sc = new Scanner(file);
} catch (FileNotFoundException ex) {
Logger.getLogger(DataCollectedLatexConsolidatorSASOMessagesSend1.class.getName())
.log(Level.SEVERE, null, ex);
}
int agentsCorrect = 0;
int worldSize = 0;
double averageExplored = 0.0;
int bestRoundNumber = 0;
double avgSend = 0;
double avgRecv = 0;
double avgdataExplInd = 0;
ArrayList<Double> acSt = new ArrayList<>();
ArrayList<Double> avgExp = new ArrayList<>();
ArrayList<Double> bestR = new ArrayList<>();
ArrayList<Double> avSnd = new ArrayList<>();
ArrayList<Double> avRecv = new ArrayList<>();
ArrayList<Double> avIndExpl = new ArrayList<>();
String[] data = null;
while (sc.hasNext()) {
String line = sc.nextLine();
// System.out.println("line:" + line);
data = line.split(",");
agentsCorrect = Integer.valueOf(data[0]);
// agentsIncorrect = Integer.valueOf(data[1]); // not used
worldSize = Integer.valueOf(data[3]);
averageExplored = Double.valueOf(data[4]);
// data[3] stdavgExplored - not used
bestRoundNumber = Integer.valueOf(data[6]);
avgSend = Double.valueOf(data[7]);
avgRecv = Double.valueOf(data[8]);
avgdataExplInd = Double.valueOf(data[11]);
// Add Data and generate statistics
acSt.add((double) agentsCorrect);
avgExp.add(averageExplored);
avSnd.add(avgSend);
avRecv.add(avgRecv);
avIndExpl.add(avgdataExplInd);
list.add(new Double(avgSend));
}
LOGGER.debug("Adding series " + i);
LOGGER.debug(list.toString());
if (Pf.contains(pf)) {
/*pf == 1.0E-4 || pf == 3.0E-4*/
if (Pf.size() == 1) {
dataset.add(list, popsize, getTechniqueName(mode));
} else {
dataset.add(list, String.valueOf(popsize) + "-" + pf, getTechniqueName(mode));
}
}
}
}
}
/*for (int i = 0; i < seriesCount; i++) {
for (int j = 0; j < categoryCount; j++) {
final List list = new ArrayList();
// add some values...
for (int k = 0; k < entityCount; k++) {
final double value1 = 10.0 + Math.random() * 3;
list.add(new Double(value1));
final double value2 = 11.25 + Math.random(); // concentrate values in the middle
list.add(new Double(value2));
}
LOGGER.debug("Adding series " + i);
LOGGER.debug(list.toString());
dataset.add(list, "Series " + i, " Type " + j);
}
}*/
return dataset;
}