public void ZeroVarianceSequence()
{
var stats2 = new WeightedDescriptiveStatistics(new[] { Tuple.Create(1.0, 2.0), Tuple.Create(1.0, 2.0), Tuple.Create(1.0, 2.0), Tuple.Create(1.0, 2.0) });
Assert.That(stats2.Skewness, Is.NaN);
Assert.That(stats2.Kurtosis, Is.NaN);
}
public void ShortSequences()
{
var stats5 = new WeightedDescriptiveStatistics(Array.Empty <Tuple <double, double> >());
Assert.That(stats5.Skewness, Is.NaN);
Assert.That(stats5.Kurtosis, Is.NaN);
var stats6 = new WeightedDescriptiveStatistics(new[] { Tuple.Create(1.0, 1.0) });
Assert.That(stats6.Skewness, Is.NaN);
Assert.That(stats6.Kurtosis, Is.NaN);
var stats7 = new WeightedDescriptiveStatistics(new[] { Tuple.Create(1.0, 1.0), Tuple.Create(1.0, 2.0) });
Assert.That(stats7.Skewness, Is.NaN);
Assert.That(stats7.Kurtosis, Is.NaN);
var stats8 = new WeightedDescriptiveStatistics(new[] { Tuple.Create(1.0, 1.0), Tuple.Create(1.0, 2.0), Tuple.Create(1.0, -3.0) });
Assert.That(stats8.Skewness, Is.Not.NaN);
Assert.That(stats8.Kurtosis, Is.NaN);
var stats9 = new WeightedDescriptiveStatistics(new[] { Tuple.Create(1.0, 1.0), Tuple.Create(1.0, 2.0), Tuple.Create(1.0, -3.0), Tuple.Create(1.0, -4.0) });
Assert.That(stats9.Skewness, Is.Not.NaN);
Assert.That(stats9.Kurtosis, Is.Not.NaN);
}
public void IEnumerableZeroWeightTupleLowAccuracy(string dataSet, int digits, double skewness, double kurtosis, double median, double min, double max, int count)
{
var data = _data[dataSet];
var stats = new WeightedDescriptiveStatistics(data.DataWithNulls.Select(x => x.HasValue ? Tuple.Create(1.0, x.Value) : Tuple.Create(0.0, 3.14159)), false);
AssertHelpers.AlmostEqualRelative(data.Mean, stats.Mean, 14);
AssertHelpers.AlmostEqualRelative(data.StandardDeviation, stats.StandardDeviation, digits);
AssertHelpers.AlmostEqualRelative(skewness, stats.Skewness, 7);
AssertHelpers.AlmostEqualRelative(kurtosis, stats.Kurtosis, 7);
Assert.AreEqual(stats.Minimum, min);
Assert.AreEqual(stats.Maximum, max);
Assert.AreEqual(stats.Count, count);
Assert.AreEqual(stats.TotalWeight, count);
}
public void IEnumerableTupleHighAccuracy(string dataSet, double skewness, double kurtosis, double median, double min, double max, int count)
{
var data = _data[dataSet];
var stats = new WeightedDescriptiveStatistics(data.Data.Select(x => Tuple.Create(1.0, x)), true);
AssertHelpers.AlmostEqualRelative(data.Mean, stats.Mean, 14);
AssertHelpers.AlmostEqualRelative(data.StandardDeviation, stats.StandardDeviation, 14);
AssertHelpers.AlmostEqualRelative(skewness, stats.Skewness, 9);
AssertHelpers.AlmostEqualRelative(kurtosis, stats.Kurtosis, 9);
Assert.AreEqual(stats.Minimum, min);
Assert.AreEqual(stats.Maximum, max);
Assert.AreEqual(stats.Count, count);
Assert.AreEqual(stats.TotalWeight, count);
}
