umontreal.iro.lecuyer.charts.exam.NormalChart Maven / Gradle / Ivy

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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.charts.XYLineChart;

public class NormalChart
{
   private static double[][] getPoints() {
      // The density of the standard normal probability distribution
      // points contains one array for X values and one array for Y values
      double[][] points = new double[2][25];
      final double CPI = Math.sqrt (2*Math.PI);
      for (int i = 0; i < points[0].length; ++i) {
         double x = -3.5 + i * 7.0 / (points[0].length - 1);
         points[0][i] = x;
         points[1][i] = Math.exp (-x*x/2.0) / CPI;
      }
      return points;
   }

   public static void main(String[] args) {
      double[][] points = getPoints();
      XYLineChart chart = new XYLineChart(null, "X", null, points);

      chart.setAutoRange00(true, true);      // Axes pass through (0,0)
      chart.toLatexFile("NormalChart.tex", 12, 8);
   }
}