/// <summary>
/// Computes the deviations from the receiver's measures to another bin's measures.
/// </summary>
/// <param name="other">the other bin to compare with</param>
/// <returns>a summary of the deviations.</returns>
public override String CompareWith(AbstractBin1D other)
{
StringBuilder buf = new StringBuilder(base.CompareWith(other));
if (other is MightyStaticBin1D)
{
MightyStaticBin1D m = (MightyStaticBin1D)other;
if (HasSumOfLogarithms && m.HasSumOfLogarithms)
{
buf.Append("geometric mean: " + RelError(GeometricMean(), m.GeometricMean()) + " %\n");
}
if (HasSumOfInversions && m.HasSumOfInversions)
{
buf.Append("harmonic mean: " + RelError(HarmonicMean(), m.HarmonicMean()) + " %\n");
}
if (HasSumOfPowers(3) && m.HasSumOfPowers(3))
{
buf.Append("skew: " + RelError(Skew(), m.Skew()) + " %\n");
}
if (HasSumOfPowers(4) && m.HasSumOfPowers(4))
{
buf.Append("kurtosis: " + RelError(Kurtosis(), m.Kurtosis()) + " %\n");
}
buf.Append("\n");
}
return(buf.ToString());
}
/// <summary>
/// Returns whether two bins are equal;
/// They are equal if the other object is of the same class or a subclass of this class and both have the same size, minimum, maximum, sum and <see cref="SumOfSquares"/>.
/// </summary>
/// <param name="obj"></param>
/// <returns></returns>
public override Boolean Equals(Object obj)
{
if (!(obj is AbstractBin1D))
{
return(false);
}
AbstractBin1D other = (AbstractBin1D)obj;
return(Size == other.Size && Min == other.Min && Max == other.Max &&
Sum == other.Sum && SumOfSquares == other.SumOfSquares);
}
/// <summary>
/// Computes the deviations from the receiver's measures to another bin's measures.
/// </summary>
/// <param name="other">the other bin to compare with</param>
/// <returns>a summary of the deviations.</returns>
public virtual String CompareWith(AbstractBin1D other)
{
StringBuilder buf = new StringBuilder();
buf.Append("\nDifferences [percent]");
buf.Append("\nSize: " + RelError(Size, other.Size) + " %");
buf.Append("\nSum: " + RelError(Sum, other.Sum) + " %");
buf.Append("\nSumOfSquares: " + RelError(SumOfSquares, other.SumOfSquares) + " %");
buf.Append("\nMin: " + RelError(Min, other.Min) + " %");
buf.Append("\nMax: " + RelError(Max, other.Max) + " %");
buf.Append("\nMean: " + RelError(Mean(), other.Mean()) + " %");
buf.Append("\nRMS: " + RelError(Rms(), other.Rms()) + " %");
buf.Append("\nVariance: " + RelError(Variance(), other.Variance()) + " %");
buf.Append("\nStandard deviation: " + RelError(StandardDeviation(), other.StandardDeviation()) + " %");
buf.Append("\nStandard error: " + RelError(StandardError(), other.StandardError()) + " %");
buf.Append("\n");
return(buf.ToString());
}