public void Recalculate(List<GA_DataPoint> data,int numChunks,HistogramScale scale)
{
GA.Log("GameAnalytics: Recalculating Histogram");
min = Mathf.Infinity;
max = 0;
//if we have less data samples than numChunks, we need a smaller array
List<int> sampleCount = new List<int>();
//Find range
foreach(GA_DataPoint c in data)
{
if(c.count<min)
min = c.count;
if(c.count>max)
max = c.count;
if(!sampleCount.Contains((int)c.count))
sampleCount.Add((int)c.count);
}
RealDataMin = min;
RealDataMax = max;
//Calculate bucket sizes
float interval = max-min;
numChunks = Mathf.Min(sampleCount.Count,numChunks);
Data = new float[numChunks];
for(int i=0; i < numChunks; i++)
Data[i]=0;
//Put data into buckets
foreach(GA_DataPoint p in data)
{
int c = (int)Mathf.FloorToInt(((p.count-min)/(interval))*numChunks);
c = Mathf.Clamp(c,0,numChunks-1);
Data[c]+=1f;
}
//Normalize data
float countMax=-Mathf.Infinity,countMin=Mathf.Infinity,scaleValue=0;
foreach(float d in Data)
{
//if(scale == HistogramScale.Linear)
scaleValue = d;
//GA_TODO: Enable log scale.
//else
// scaleValue = Mathf.Log(d);
if(scaleValue<countMin)
countMin = scaleValue;
if(scaleValue>countMax)
countMax = scaleValue;
}
float normValue = 0;
for(int i=0; i < Data.Length; i++)
{
if(scale == HistogramScale.Linear)
normValue = Data[i];
else
normValue = Mathf.Log(Data[i]);
Data[i] = (normValue-countMin)/(countMax-countMin);
}
}
public void Recalculate(List <GA_DataPoint> data, int numChunks, HistogramScale scale)
{
GA.Log("GameAnalytics: Recalculating Histogram");
min = Mathf.Infinity;
max = 0;
//if we have less data samples than numChunks, we need a smaller array
List <int> sampleCount = new List <int>();
//Find range
foreach (GA_DataPoint c in data)
{
if (c.count < min)
{
min = c.count;
}
if (c.count > max)
{
max = c.count;
}
if (!sampleCount.Contains((int)c.count))
{
sampleCount.Add((int)c.count);
}
}
RealDataMin = min;
RealDataMax = max;
//Calculate bucket sizes
float interval = max - min;
numChunks = Mathf.Min(sampleCount.Count, numChunks);
Data = new float[numChunks];
for (int i = 0; i < numChunks; i++)
{
Data[i] = 0;
}
//Put data into buckets
foreach (GA_DataPoint p in data)
{
int c = (int)Mathf.FloorToInt(((p.count - min) / (interval)) * numChunks);
c = Mathf.Clamp(c, 0, numChunks - 1);
Data[c] += 1f;
}
//Normalize data
float countMax = -Mathf.Infinity, countMin = Mathf.Infinity, scaleValue = 0;
foreach (float d in Data)
{
//if(scale == HistogramScale.Linear)
scaleValue = d;
//GA_TODO: Enable log scale.
//else
// scaleValue = Mathf.Log(d);
if (scaleValue < countMin)
{
countMin = scaleValue;
}
if (scaleValue > countMax)
{
countMax = scaleValue;
}
}
float normValue = 0;
for (int i = 0; i < Data.Length; i++)
{
if (scale == HistogramScale.Linear)
{
normValue = Data[i];
}
else
{
normValue = Mathf.Log(Data[i]);
}
Data[i] = (normValue - countMin) / (countMax - countMin);
}
}
