public void MeanAbsoluteDifferenceTest()
{
var s1 = new Helpers.StatisticsHelper(new double[] { 1, 2, 3, 4, 5 });
var s2 = new Helpers.StatisticsHelper(new double[] { 5, 4, 3, 2, 1 });
double expected = 2.4;
var actual = Helpers.StatisticsHelper.MeanAbsoluteDifference(s1, s2);
Assert.AreEqual(expected, actual);
}
private double b(StatisticsHelper design)
{
return this.Mean - this.a(design) * design.Mean;
}
private double a(StatisticsHelper design)
{
try
{
return this.Covariance(design) / (Math.Pow(design.StandardDeviation, 2));
}
catch
{
return double.NaN;
}
}
private double r(StatisticsHelper design)
{
try
{
return this.Covariance(design) / (this.StandardDeviation * design.StandardDeviation);
}
catch
{
return double.NaN;
}
}
private double MeanAbsoluteDifference(StatisticsHelper design)
{
try
{
if (this.Length != design.Length) return double.NaN;
var len = this.Length;
double sumDiff = 0;
for (var i = 0; i < len; i++)
sumDiff += Math.Abs(this._list[i] - design._list[i]);
return sumDiff / len;
}
catch
{
return double.NaN;
}
}
private double Covariance(StatisticsHelper s)
{
try
{
if (this.Length != s.Length) return double.NaN;
var len = this.Length;
double sumMul = 0;
for (var i = 0; i <= len - 1; i++)
sumMul += (this._list[i] * s._list[i]);
return (sumMul - len * this.Mean * s.Mean) / (len - 1);
}
catch
{
return double.NaN;
}
}
public static double b(StatisticsHelper design1, StatisticsHelper design2)
{
return design1.Mean - a(design1, design2) * design2.Mean;
}
public static double a(StatisticsHelper design1, StatisticsHelper design2)
{
try
{
return Covariance(design1, design2) / (Math.Pow(design2.StandardDeviation, 2));
}
catch
{
return double.NaN;
}
}
public static double r(StatisticsHelper design1, StatisticsHelper design2)
{
try
{
return Covariance(design1, design2) / (design1.StandardDeviation * design2.StandardDeviation);
}
catch
{
return double.NaN;
}
}
public static double MeanAbsoluteDifference(StatisticsHelper s1, StatisticsHelper s2)
{
return s1.MeanAbsoluteDifference(s2);
}
public static double Covariance(StatisticsHelper s1, StatisticsHelper s2)
{
try
{
if (s1.Length != s2.Length) return double.NaN;
var len = s1.Length;
double sumMul = 0;
for (var i = 0; i <= len - 1; i++)
sumMul += (s1._list[i] * s2._list[i]);
return (sumMul - len * s1.Mean * s2.Mean) / (len - 1);
}
catch
{
return double.NaN;
}
}