Java/Compound_Distribution_Visualization.java at main · sksalahuddin2828/Java · GitHub

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import javafx.application.Application;

import javafx.scene.Scene;

import javafx.scene.chart.LineChart;

import javafx.scene.chart.NumberAxis;

import javafx.scene.chart.XYChart;

import javafx.stage.Stage;

public class CompoundDistributionVisualization extends Application {

@Override

public void start(Stage primaryStage) {

// Define the data range for the X-axis

double startX = 0.0;

double endX = 20.0;

int numPoints = 500;

// Generate data points for visualization

double[] xValues = new double[numPoints];

double[] yValues = new double[numPoints];

double step = (endX - startX) / (numPoints - 1);

for (int i = 0; i < numPoints; i++) {

xValues[i] = startX + i * step;

yValues[i] = compoundDistribution(xValues[i]);

}

// Create the line chart

NumberAxis xAxis = new NumberAxis(startX, endX, step);

NumberAxis yAxis = new NumberAxis();

LineChart<Number, Number> lineChart = new LineChart<>(xAxis, yAxis);

lineChart.setTitle("Compound Distribution");

lineChart.setCreateSymbols(false); // Remove data points symbols

// Add the compound distribution data to the chart

XYChart.Series<Number, Number> series = new XYChart.Series<>();

for (int i = 0; i < numPoints; i++) {

series.getData().add(new XYChart.Data<>(xValues[i], yValues[i]));

}

lineChart.getData().add(series);

// Create and show the scene

Scene scene = new Scene(lineChart, 800, 600);

primaryStage.setTitle("Compound Distribution Visualization");

primaryStage.setScene(scene);

primaryStage.show();

}

private double compoundDistribution(double x) {

// Define a Gaussian distribution

double gaussianMean = 10, gaussianStd = 2;

double gaussian = Math.exp(-0.5 * Math.pow((x - gaussianMean) / gaussianStd, 2)) / (gaussianStd * Math.sqrt(2 * Math.PI));

// Define an Exponential distribution

double exponentialLambda = 0.2;

double exponential = exponentialLambda * Math.exp(-exponentialLambda * x);

// Define a Uniform distribution

double uniformLow = 5, uniformHigh = 15;

double uniform = (x >= uniformLow && x <= uniformHigh) ? 1 / (uniformHigh - uniformLow) : 0;

// Combine the distributions to create a compound distribution

// You can adjust the weights to change the contribution of each distribution

return 0.6 * gaussian + 0.2 * exponential + 0.2 * uniform;

}

public static void main(String[] args) {

launch(args);

}

Java/Compound_Distribution_Visualization.java at main · sksalahuddin2828/Java · GitHub

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