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Correciones #1

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Correciones #1

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33 changes: 24 additions & 9 deletions Simulacion/src/Simulacion.java
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Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,8 @@ public void actionPerformed(ActionEvent e) {
int result = fileChooser.showOpenDialog(Simulacion.this);
if (result == JFileChooser.APPROVE_OPTION) {
selectedFile = fileChooser.getSelectedFile();
JOptionPane.showMessageDialog(Simulacion.this, "Archivo seleccionado: " + selectedFile.getName());
//JOptionPane.showMessageDialog(Simulacion.this, "Archivo seleccionado: " + selectedFile.getName());
fileLabel.setText("Archivo seleccionado: " + selectedFile.getName()); //Cambia el texto de la etiqueta en vez de mostrar un popup
}
}
});
Expand Down Expand Up @@ -173,17 +174,19 @@ private void analyzeDataFromFile() {
}

double sum = data.stream().mapToDouble(Double::doubleValue).sum();
double mean = sum / data.size();
//double mean = sum / data.size(); //La media no se calcula, siempre es 0.5
double mean = 0.5;

tableModel.setRowCount(0);
ArrayList<String> runs = new ArrayList<>();

for (double num : data) {
String position = (num > mean) ? "Arriba de la Media" : "Debajo de la Media";
String position = (num >= mean) ? "1" : "0"; //Arriba se representa con 1, abajo con 0
tableModel.addRow(new Object[]{num, mean, position});
runs.add(position);
}

//System.out.println(runs.size());
calculateRunsTest(runs, mean);

} catch (FileNotFoundException e) {
Expand All @@ -197,30 +200,42 @@ private void analyzeDataFromFile() {

// Método para calcular las corridas y realizar los análisis
private void calculateRunsTest(ArrayList<String> runs, double mean) {
int numCorridas = 0;
int numCorridas = 1; //numCorridas debe empezar cómo 1
int countUp = 0;
int countDown = 0;
int n = runs.size(); //extraer n

// Calcular las corridas y contar las veces que hay una transición entre "Arriba" y "Abajo"
if (runs.get(0) == "1") {
countUp++;
} else {
countDown++;
}
for (int i = 1; i < runs.size(); i++) {
if (runs.get(i) == "1") {
countUp++;
} else {
countDown++;
}
if (!runs.get(i).equals(runs.get(i - 1))) {
numCorridas++;
}
}
System.out.println(String.format("n={%d}, c1={%d}, c0={%d}",n, countUp, countDown));

// Calcular los parámetros para la fórmula de Z
double expected = (2 * countUp * countDown) / (double) runs.size();
double variance = (2 * countUp * countDown * (2 * countUp * countDown - runs.size()))
/ (double) (runs.size() * runs.size() * (runs.size() - 1));
double expected = ((2 * countUp * countDown) / (double) n) + 0.5;
double variance = (2 * countUp * countDown * ((2 * countUp * countDown) - n)) //corrección en la fórmula
/ (double) (n * n * (n - 1));
double standardDeviation = Math.sqrt(variance);
double zValue = (numCorridas - expected) / standardDeviation;

// Mostrar los resultados
runsLabel.setText("Número de Corridas: " + numCorridas);
meanLabel.setText("Media: " + mean);
zLabel.setText("Valor Z: " + zValue);
intermediateLabel.setText("Operaciones Intermedias: \nR = " + numCorridas + " \nE = " + expected
+ " \nσ = " + standardDeviation);
intermediateLabel.setText("Operaciones Intermedias: \nC0 = " + numCorridas + " \nMu = " + expected
+ " \nσ^2 = " + variance);

if (Math.abs(zValue) <= 1.96) {
independenceLabel.setText("Resultado: Los números son independientes.");
Expand Down