public void TestDistributionEmpirical()
{
double[] binBounds = new double[] { 4.0, 7.0, 8.0, 10.0, 13.0, 14.0 };
double[] heights = new double[] { 2.0, 4.0, 3.0, 6.0, 4.0 }; // Note - one less than in intervals.
IDoubleDistribution dist = new EmpiricalDistribution(m_model, "EmpiricalDistributionFromHistogram", Guid.NewGuid(), binBounds, heights);
Assert.IsTrue(dist.GetValueWithCumulativeProbability(0.50) == 10.5);
dist.SetCDFInterval(0.5, 0.5);
Assert.IsTrue(dist.GetNext() == 10.5);
dist.SetCDFInterval(0.0, 1.0);
System.IO.StreamWriter tw = new System.IO.StreamWriter(Environment.GetEnvironmentVariable("TEMP") + "\\DistributionEmpiricalFromHistogram.csv");
Debug.WriteLine("Generating raw data.");
int DATASETSIZE = 1500000;
double[] rawData = new double[DATASETSIZE];
for (int x = 0; x < DATASETSIZE; x++)
{
rawData[x] = dist.GetNext();
//tw.WriteLine(rawData[x]);
}
Debug.WriteLine("Performing histogram analysis.");
Histogram1D_Double hist = new Histogram1D_Double(rawData, 4, 14, 100, "distribution");
hist.LabelProvider = new LabelProvider(((Histogram1D_Double)hist).DefaultLabelProvider);
hist.Recalculate();
Debug.WriteLine("Writing data dump file.");
int[] bins = (int[])hist.Bins;
for (int i = 0; i < bins.Length; i++)
{
//Debug.WriteLine(hist.GetLabel(new int[]{i}) + ", " + bins[i]);
tw.WriteLine(hist.GetLabel(new int[] { i }) + ", " + bins[i]);
}
tw.Flush();
tw.Close();
if (m_visuallyVerify)
{
System.Diagnostics.Process.Start("excel.exe", Environment.GetEnvironmentVariable("TEMP") + "\\DistributionEmpiricalFromHistogram.csv");
}
}
