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); } } }