protected override void EndProcessing()
{
var hypo = TestingHelper.GetOneSampleHypothesis(Alternate);
var test = new SignTest(_data.ToArray(), HypothesizedMedian, hypo)
{
Size = Size
};
WriteObject(test);
}
protected override void EndProcessing()
{
var hypo = TestingHelper.GetOneSampleHypothesis(Alternate);
var test = new BinomialTest(SuccesCount, TrialCount, Probability, hypo)
{
Size = Size
};
WriteObject(test);
}
protected override void EndProcessing()
{
var hypo = TestingHelper.GetKolmogorovSmirnovTestHypothesis(Alternate);
var test = new KolmogorovSmirnovTest(_data.ToArray(), HypothesizedDistribution, hypo)
{
Size = Size
};
WriteObject(test);
}
protected override void EndProcessing()
{
var hypo = TestingHelper.GetOneSampleHypothesis(Alternate);
var mat = new ConfusionMatrix(_data.ToIntMatrix());
var test = new FisherExactTest(mat, hypo)
{
Size = Size
};
WriteObject(test);
}
protected override void EndProcessing()
{
var hypo = TestingHelper.GetOneSampleHypothesis(Alternate);
var test = new WilcoxonSignedRankTest(
_data.ToArray(),
HypothesizedMean,
hypo,
Exact ? true : (Nullable <bool>)null,
!NoAdjustForTies)
{
Size = Size
};
WriteObject(test);
}
protected override void EndProcessing()
{
var hypo = TestingHelper.GetTwoSampleHypothesis(Alternate);
TwoSampleSignTest test;
if (ParameterSetName == "Pipeline")
{
test = new TwoSampleSignTest(_data[Sample1Name].ToDoubleArray(), _data[Sample2Name].ToDoubleArray(), hypo);
}
else
{
test = new TwoSampleSignTest(Sample1, Sample2, hypo);
}
test.Size = Size;
WriteObject(test);
}
protected override void EndProcessing()
{
var hypo = TestingHelper.GetOneSampleHypothesis(Alternate);
TTest test = null;
if (ParameterSetName == "Samples")
{
test = new TTest(_data.ToArray(), HypothesizedMean, hypo);
}
else if (ParameterSetName == "Mean")
{
test = new TTest(Mean, StdDev, Samples, HypothesizedMean, hypo);
}
else if (ParameterSetName == "SE")
{
test = new TTest(Value, StandardError, (double)DegreesOfFreedom, HypothesizedMean, hypo);
}
test.Size = Size;
WriteObject(test);
}
