public override object Evaluate()
{
IList <double> v = LeftExpression.EvaluateAsRealVector();
if (RightExpression == Expression <Object> .Null)
{
return(new CMatrix(MathStats.Histogram(v)));
}
else
{
object intvals = RightExpression.Evaluate();
if (intvals is Complex)
{
return(new CMatrix(MathStats.Histogram(v, ExpressionExtensions.AsInt32((Complex)intvals))));
}
else if (intvals is CMatrix)
{
return(new CMatrix(MathStats.Histogram(v, ExpressionExtensions.AsRealVector((CMatrix)intvals))));
}
else
{
throw ExceptionHelper.ThrowWrongArgumentType(intvals);
}
}
}
public override object Evaluate()
{
IList <Complex> m1 = LeftExpression.EvaluateAsExpandableComplexArray();
IList <Complex> m2 = RightExpression.EvaluateAsExpandableComplexArray();
return(MathStats.Correlation(m1, m2));
}
public override object Evaluate()
{
CMatrix m = LeftExpression.EvaluateAsCMatrix();
int order = RightExpression.EvaluateAsInt32();
return(MathStats.PopulationCentralMoment(m, order));
}
public void ModeTest()
{
//arrange
double[] v = new double[] { 1, 2, 2, 3, 6, 8, 8, 8, 9 };
double expected = 8.0;
//action
double actual = MathStats.Mode(v);
//assert
actual.Should().Be(expected);
}
public override object Evaluate()
{
return((Complex)MathStats.HarmonicMean(SubExpression.EvaluateAsExpandableDoubleArray()));
}
public override object Evaluate()
{
return((Complex)MathStats.Mean(SubExpression.EvaluateAsCMatrix()));
}
public override object Evaluate()
{
return(MathStats.Product(SubExpression.EvaluateAsCMatrix()));
}
public override object Evaluate()
{
return(MathStats.SumOfSquares(SubExpression.EvaluateAsCMatrix()));
}
public override object Evaluate()
{
return(MathStats.SampleKurtosis(SubExpression.EvaluateAsCMatrix()));
}
public override object Evaluate()
{
return(MathStats.PopulationSkewness(SubExpression.EvaluateAsCMatrix()));
}
public override object Evaluate()
{
return((Complex)MathStats.SampleStandardDeviation(SubExpression.EvaluateAsCMatrix()));
}
public override object Evaluate()
{
return((Complex)MathStats.PopulationVariance(SubExpression.EvaluateAsCMatrix()));
}
