public void BhapkarTestConstructorTest()
{
// Bhapkar, V.P. (1966). A note on the equivalence of two test criteria
// for hypotheses in categorical data. Journal of the American Statistical
// Association, 61, 228-235.
int[,] vision =
{
{ 1520, 266, 124, 66 },
{ 234, 1512, 432, 78 },
{ 117, 362, 1772, 205 },
{ 36, 82, 179, 492 },
};
GeneralConfusionMatrix a = new GeneralConfusionMatrix(vision);
BhapkarTest target = new BhapkarTest(a);
Assert.AreEqual(11.97572, target.Statistic, 1e-5);
Assert.AreEqual(0.00746679746972, target.PValue, 1e-6);
Assert.AreEqual(3, target.DegreesOfFreedom);
Assert.IsFalse(double.IsNaN(target.Statistic));
Assert.IsFalse(double.IsNaN(target.PValue));
}
private void buildModel()
{
if(mctable==null)getMatrix();
cofM = new ConfusionMatrix(mctable);
gcofM1 = new GeneralConfusionMatrix(g1table);
gcofM2 = new GeneralConfusionMatrix(g2table);
gcofM3 = new GeneralConfusionMatrix(g3table);
mct = new McNemarTest(cofM);
akt = new TwoMatrixKappaTest(gcofM1, gcofM2);
bkt = new BowkerTest(gcofM3);
bht = new BhapkarTest(gcofM3);
}