public StatisticalFloat Clone()
{
StatisticalFloat Result = new StatisticalFloat();
Result.AddSamples(this);
return(Result);
}
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 StatisticalFloat Clone()
{
StatisticalFloat Result = new StatisticalFloat();
Result.AddSamples(this);
return Result;
}
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 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);
}
}
}