本文整理汇总了C#中Histogram.Add方法的典型用法代码示例。如果您正苦于以下问题：C# Histogram.Add方法的具体用法？C# Histogram.Add怎么用？C# Histogram.Add使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Histogram的用法示例。
在下文中一共展示了Histogram.Add方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: MinMeanMax
public void MinMeanMax()
{
var metric = new Metric();
metric.Add(10);
metric.Add(20);
Assert.That(metric.Count, Is.EqualTo(2));
Assert.That(metric.Min, Is.EqualTo(10));
Assert.That(metric.Max, Is.EqualTo(20));
Assert.That(metric.Mean, Is.EqualTo(15.0d));
metric.Add(60);
Assert.That(metric.Count, Is.EqualTo(3));
Assert.That(metric.Min, Is.EqualTo(10));
Assert.That(metric.Max, Is.EqualTo(60));
Assert.That(metric.Mean, Is.EqualTo(30.0d));
Histogram other = new Histogram();
other.Add(10);
other.Add(20);
other.Add(60);
CollectionAssert.AreEqual(metric.Histogram.Get(), other.Get());
}示例2: HistogramOperations
public void HistogramOperations()
{
Histogram h = new Histogram(new double[] { 1.0, 3.0, 5.0, 7.0 });
Assert.IsTrue(h.Bins.Count == 3);
Assert.IsTrue(h.Range == Interval.FromEndpoints(1.0, 7.0));
Assert.IsTrue(h.BelowRangeBin.Range == Interval.FromEndpoints(Double.NegativeInfinity, 1.0));
Assert.IsTrue(h.Bins[0].Range == Interval.FromEndpoints(1.0, 3.0));
Assert.IsTrue(h.Bins[1].Range == Interval.FromEndpoints(3.0, 5.0));
Assert.IsTrue(h.Bins[2].Range == Interval.FromEndpoints(5.0, 7.0));
Assert.IsTrue(h.AboveRangeBin.Range == Interval.FromEndpoints(7.0, Double.PositiveInfinity));
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
h.Add(-1.0);
AssertBinCounts(h, new int[] { 1, 0, 0, 0, 0 });
h.Add(0.0);
AssertBinCounts(h, new int[] { 2, 0, 0, 0, 0 });
h.Add(1.0);
AssertBinCounts(h, new int[] { 2, 1, 0, 0, 0 });
h.Add(2.0);
AssertBinCounts(h, new int[] { 2, 2, 0, 0, 0 });
h.Add(3.0);
AssertBinCounts(h, new int[] { 2, 2, 1, 0, 0 });
h.Add(4.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 0, 0 });
h.Add(5.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 1, 0 });
h.Add(6.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 0 });
h.Add(7.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 1 });
h.Add(8.0);
AssertBinCounts(h, new int[] { 2, 2, 2, 2, 2 });
Assert.IsTrue(h.TotalCounts == 10);
//Assert.IsTrue(h.OutOfRangeCounts == 4);
h.Clear();
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
Assert.IsTrue(h.TotalCounts == 0);
foreach (HistogramBin bin in h.Bins) {
bin.Increment();
}
AssertBinCounts(h, new int[] { 0, 1, 1, 1, 0 });
foreach (HistogramBin bin in h.Bins) {
bin.Deincrement();
}
AssertBinCounts(h, new int[] { 0, 0, 0, 0, 0 });
//Assert.IsTrue(h.OutOfRangeCounts == 0);
}示例3: ChiSquareDistribution
public void ChiSquareDistribution()
{
int B = 8;
Random rng = new Random(0);
//BinomialDistribution d = new BinomialDistribution(0.25, 6);
//DiscreteUniformDistribution d = new DiscreteUniformDistribution(0, 4);
//BernoulliDistribution d = new BernoulliDistribution(0.25);
DiscreteDistribution d = new PoissonDistribution(2.0);
Sample s = new Sample();
ChiSquaredDistribution nullDistribution = null;
for (int i = 0; i < 512; i++) {
Histogram h = new Histogram(B);
for (int j = 0; j < 1024; j++) {
int k = d.GetRandomValue(rng);
h.Add(k);
//if (k < h.Count) h[k].Increment();
//h[d.GetRandomValue(rng)].Increment();
}
TestResult cr = h.ChiSquaredTest(d);
nullDistribution = (ChiSquaredDistribution) cr.Distribution;
//Console.WriteLine(((ChiSquaredDistribution) cr.Distribution).DegreesOfFreedom);
s.Add(cr.Statistic);
}
Console.WriteLine(nullDistribution.DegreesOfFreedom);
TestResult kr = s.KuiperTest(nullDistribution);
Console.WriteLine(kr.LeftProbability);
}示例4: DiscreteDistributionRandomValues
public void DiscreteDistributionRandomValues()
{
foreach (DiscreteDistribution distribution in distributions) {
int max;
if (distribution.Maximum < 128) {
max = distribution.Maximum + 1;
} else {
max = (int) Math.Round(distribution.Mean + 2.0 * distribution.StandardDeviation);
}
Console.WriteLine("{0} {1}", distribution.GetType().Name, max);
Histogram h = new Histogram(max);
Random rng = new Random(314159265);
for (int i = 0; i < 1024; i++) h.Add(distribution.GetRandomValue(rng));
TestResult result = h.ChiSquaredTest(distribution);
Console.WriteLine("{0} {1}", result.Statistic, result.RightProbability);
Assert.IsTrue(result.RightProbability > 0.05);
}
}