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SSJ is a Java library for stochastic simulation, developed under the direction of Pierre L'Ecuyer, in the Département d'Informatique et de Recherche Opérationnelle (DIRO), at the Université de Montréal. It provides facilities for generating uniform and nonuniform random variates, computing different measures related to probability distributions, performing goodness-of-fit tests, applying quasi-Monte Carlo methods, collecting (elementary) statistics, and programming discrete-event simulations with both events and processes.

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import umontreal.iro.lecuyer.rng.*;
import umontreal.iro.lecuyer.randvar.*;
import umontreal.iro.lecuyer.charts.*;
import java.util.Arrays;
import java.awt.Color;

public class EmpiricalChartTest
{
   private static double[] getPoints1() {
      RandomVariateGen gen = new UniformGen(new LFSR113());
      final int N = 10;
      double[] data = new double[N];
      for (int i = 0; i < N; i++)
         data[i] = gen.nextDouble();
      Arrays.sort(data);
      return data;
   }

   private static double[] getPoints2() {
      RandomVariateGen gen = new BetaGen(new LFSR113(), 3, 1);
      final int N = 20;
      double[] data = new double[N];
      for (int i = 0; i < N; i++)
         data[i] = gen.nextDouble();
      Arrays.sort(data);
      return data;
   }

   public static void main(String[] args) {
      double[] data1 = getPoints1();
      double[] data2 = getPoints2();

      // Create a new chart with the previous data series.
      EmpiricalChart chart = new EmpiricalChart(null, null, null, data1, data2);

      // Data plots customizing
      EmpiricalSeriesCollection collec = chart.getSeriesCollection();
      collec.setMarksType(0, "square*");
      collec.setColor(0, Color.MAGENTA);

      chart.enableGrid(0.1, 0.1);            // Enables grid
      chart.toLatexFile("EmpiricalChartTest.tex", 12, 8);
   }
}