public void AddDistribution(StatisticalFloat Samples)
{
if (MyCount == 0)
{
AddSamples(Samples);
}
else if (Samples.MyCount > 0)
{
MyMin = MyMin + Samples.MyMin;
MyMax = MyMax + Samples.MyMax;
MySum = Average + Samples.Average;
MySumOfSquares = MySum * MySum;
MyCount = 1;
if (MySamples != null)
{
MySamples.Clear();
MySamples.Add(MySum);
}
}
}
public void AddSamples(StatisticalFloat Samples)
{
if (MyCount == 0)
{
MySum = Samples.MySum;
MySumOfSquares = Samples.MySumOfSquares;
MyMin = Samples.MyMin;
MyMax = Samples.MyMax;
MyCount = Samples.MyCount;
}
else
{
MySum += Samples.MySum;
MySumOfSquares += Samples.MySumOfSquares;
MyMin = Math.Min(MyMin, Samples.MyMin);
MyMax = Math.Max(MyMax, Samples.MyMax);
MyCount += Samples.MyCount;
}
if (MySamples != null)
{
MySamples.AddRange(Samples.MySamples);
}
}
public void AddSample(double InValue)
{
if (MyCount == 0)
{
MySum = InValue;
MySumOfSquares = InValue * InValue;
MyMin = InValue;
MyMax = InValue;
}
else
{
MySum += InValue;
MySumOfSquares += InValue * InValue;
MyMin = Math.Min(MyMin, InValue);
MyMax = Math.Max(MyMax, InValue);
}
if (MySamples != null)
{
MySamples.Add(InValue);
}
MyCount++;
}