public void TestSimpleNotFullStaticAverage()
{
var sma = new SimpleMovingAverage(5);
sma.Add(3);
sma.Add(4);
sma.Add(2);
sma.Add(3);
var average = sma.Average();
Assert.Equal(3, average);
}
public void TestSimpleNotFullStaticAverage()
{
var sma = new SimpleMovingAverage(5);
sma.Add(3);
sma.Add(4);
sma.Add(2);
sma.Add(3);
var average = sma.Average();
Assert.Equal(3, average);
}
public void TestSimpleMovingAverage()
{
var sma = new SimpleMovingAverage(5);
sma.Add(10);
sma.Add(55);
sma.Add(33);
sma.Add(56);
sma.Add (88);
sma.Add(23);
var average = sma.Average();
Assert.Equal(51, average);
}
public void TestSimpleMovingAverage()
{
var sma = new SimpleMovingAverage(5);
sma.Add(10);
sma.Add(55);
sma.Add(33);
sma.Add(56);
sma.Add(88);
sma.Add(23);
var average = sma.Average();
Assert.Equal(51, average);
}
public double CalculateVectorNormalizedAverage(WorkoutSampleVector vector)
{
if (!vector.HasData)
{
return(0);
}
if (vector.NumberOfSamples < 30)
{
return(CalculateVectorAverage(vector));
}
var movingAverageBuffer = new SimpleMovingAverage(30);
double movingAverage = 0;
var movingAverageSamples = 1;
movingAverageBuffer.Add(vector.Vector[0].dataPoint);
for (var i = 1; i < vector.NumberOfSamples; i++)
{
if (vector.Vector[i].dataPoint < 0)
{
continue;
}
var timeDiff = vector.Vector[i].timeOffsetSeconds - vector.Vector[i - 1].timeOffsetSeconds;
for (var j = 0; j < timeDiff; j++)
//Cannot multiply value across time in the sample as we need a 30s moving avg.
{
movingAverageBuffer.Add(vector.Vector[i].dataPoint);
if (movingAverageBuffer.NumberOfSamples >= 30)
{
movingAverage += Math.Pow(Math.Round(movingAverageBuffer.Average()), 4);
movingAverageSamples++;
}
}
}
var average = movingAverage / movingAverageSamples;
average = Math.Round(Math.Pow(average, 0.25));
return(average);
}