public void TauA_ReverseOrder()
{
var kendall = new KendallTauCorrelation <int, int>(
(int value) => value,
(int value) => value * -10
);
Assert.AreEqual(
-1.0,
kendall.TauA(OneToTen),
"Numbers that sort in reverse order should be perfectly anti-correlated."
);
}
public void TauA_SameOrder()
{
var kendall = new KendallTauCorrelation <int, int>(
(int value) => value,
(int value) => value * 10
);
Assert.AreEqual(
1.0,
kendall.TauA(OneToTen),
"Numbers that sort in the same order should be perfectly correlated."
);
}
public void TauA_OneSwap()
{
var reordered = new[] { 1, 2, 3, 5, 4, 6, 7, 8, 9, 10 };
var kendall = new KendallTauCorrelation <int, int>(
(int value) => value,
(int value) => reordered[value - 1]
);
Assert.AreEqual(
43.0 / 45.0,
kendall.TauA(OneToTen),
0.00001,
"If a single number is out of place the sequences should be almost perfectly correlated."
);
}
