public void TestDistributionTimeSpanExponential()
{
IDoubleDistribution dist = new ExponentialDistribution(m_model, "ExponentialDistribution", Guid.NewGuid(), 3.0, 3.0);
ITimeSpanDistribution tsd = new TimeSpanDistribution(m_model, "TSD:" + dist.Name, Guid.NewGuid(), dist, TimeSpanDistribution.Units.Minutes);
tsd.SetCDFInterval(0.5, 0.5);
Assert.IsTrue(tsd.GetNext().Equals(TimeSpan.FromMinutes(5.0794415416798362)));
tsd.SetCDFInterval(0.0, 1.0);
System.IO.StreamWriter tw = new System.IO.StreamWriter(Environment.GetEnvironmentVariable("TEMP") + "\\TimeSpanDistributionExponential.csv");
Debug.WriteLine("Generating raw data.");
int DATASETSIZE = 1500000;
double[] rawData = new double[DATASETSIZE];
for (int x = 0; x < DATASETSIZE; x++)
{
rawData[x] = tsd.GetNext().TotalMinutes;
//tw.WriteLine(rawData[x]);
}
Debug.WriteLine("Performing histogram analysis.");
Histogram1D_Double hist = new Histogram1D_Double(rawData, 0, 120.0, 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.WriteLine("Sum of off-scale-high : " + (((double)hist.SumEntries(HistogramBinCategory.OffScaleHigh))));
tw.WriteLine("Average value : " + (((double)hist.SumEntries(HistogramBinCategory.All)) / ((double)hist.RawData.Length)));
tw.Flush();
tw.Close();
if (m_visuallyVerify)
{
System.Diagnostics.Process.Start("excel.exe", Environment.GetEnvironmentVariable("TEMP") + "\\TimeSpanDistributionExponential.csv");
}
}
