public void ClearTest()
{
double[] values = { 0.5, -1.2, 0.7, 0.2, 1.1 };
var target = new RunningCircularStatistics();
for (int i = 0; i < values.Length; i++)
{
target.Push(values[i]);
}
target.Clear();
double[] values2 = { 1.5, -5.2, 0.7, 1.2, 9.1 };
for (int i = 0; i < values.Length; i++)
{
target.Push(values2[i]);
}
Assert.AreEqual(Circular.Mean(values2), target.Mean, 1e-10);
Assert.AreEqual(Circular.Variance(values2), target.Variance, 1e-10);
Assert.AreEqual(Circular.StandardDeviation(values2), target.StandardDeviation, 1e-10);
Assert.AreEqual(values2.Length, target.Count);
}
public void RunningNormalStatisticsConstructorTest()
{
var target = new RunningCircularStatistics();
Assert.AreEqual(0, target.Mean);
Assert.AreEqual(0, target.StandardDeviation);
Assert.AreEqual(0, target.Variance);
Assert.AreEqual(0, target.Count);
}
public void VarianceTest()
{
double[] values = { 0.5, -1.2, 0.7, 0.2, 1.1 };
var target = new RunningCircularStatistics();
for (int i = 0; i < values.Length; i++)
{
target.Push(values[i]);
}
double expected = Circular.Variance(values);
double actual = target.Variance;
Assert.AreEqual(expected, actual);
}
