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);
}
public void BowkerTestConstructorTest()
{
// Example from Bortz, Lienert and Klaus. Boehnke Verteilungsfreie Methoden in Der Biostatistik, pg 166
// http://books.google.com.br/books?id=chxDIA-x3WIC&printsec=frontcover&source=gbs_atb#v=onepage&q&f=false
int[,] matrix =
{
{ 14, 7, 9 },
{ 5, 26, 19 },
{ 1, 7, 12 },
};
GeneralConfusionMatrix a = new GeneralConfusionMatrix(matrix);
BowkerTest target = new BowkerTest(a);
Assert.AreEqual(12.27, target.Statistic, 1e-2);
Assert.IsFalse(Double.IsNaN(target.Statistic));
Assert.AreEqual(3, target.DegreesOfFreedom);
}
