public static void CalculateCorr(List <RowType> rows)
{
var zcm = ZeroCrossing.ProcessRows(rows);
var tat = TimeAboveThreshold.ProcessRows(rows);
var integral = Integral.ProcessRows(rows);
var ai = ActivityIndex.ProcessRows(rows);
double corrZcmTat = MathNet.Numerics.Statistics.Correlation.Pearson(zcm.Select(m => m.Activity), tat.Select(m => m.Activity));
double corrZcmInt = MathNet.Numerics.Statistics.Correlation.Pearson(zcm.Select(m => m.Activity), integral.Select(m => m.Activity));
double corrZcmAi = MathNet.Numerics.Statistics.Correlation.Pearson(zcm.Select(m => m.Activity), ai.Select(m => m.Activity));
Console.WriteLine("ZCM => TAT: " + corrZcmTat);
Console.WriteLine("ZCM => Int: " + corrZcmInt);
Console.WriteLine("ZCM => AI: " + corrZcmAi);
double corrTatZcm = MathNet.Numerics.Statistics.Correlation.Pearson(tat.Select(m => m.Activity), zcm.Select(m => m.Activity));
double corrTatInt = MathNet.Numerics.Statistics.Correlation.Pearson(tat.Select(m => m.Activity), integral.Select(m => m.Activity));
double corrTatAi = MathNet.Numerics.Statistics.Correlation.Pearson(tat.Select(m => m.Activity), ai.Select(m => m.Activity));
Console.WriteLine("TAT => ZCM: " + corrTatZcm);
Console.WriteLine("TAT => Int: " + corrTatInt);
Console.WriteLine("TAT => AI: " + corrTatAi);
double corrIntZcm = MathNet.Numerics.Statistics.Correlation.Pearson(integral.Select(m => m.Activity), zcm.Select(m => m.Activity));
double corrIntTat = MathNet.Numerics.Statistics.Correlation.Pearson(integral.Select(m => m.Activity), tat.Select(m => m.Activity));
double corrIntAi = MathNet.Numerics.Statistics.Correlation.Pearson(integral.Select(m => m.Activity), ai.Select(m => m.Activity));
Console.WriteLine("Int => ZCM: " + corrIntZcm);
Console.WriteLine("Int => TAT: " + corrIntTat);
Console.WriteLine("Int => AI: " + corrIntAi);
double corrAiZcm = MathNet.Numerics.Statistics.Correlation.Pearson(ai.Select(m => m.Activity), zcm.Select(m => m.Activity));
double corrAiTat = MathNet.Numerics.Statistics.Correlation.Pearson(ai.Select(m => m.Activity), tat.Select(m => m.Activity));
double corrAiInt = MathNet.Numerics.Statistics.Correlation.Pearson(ai.Select(m => m.Activity), integral.Select(m => m.Activity));
Console.WriteLine("AI => ZCM: " + corrAiZcm);
Console.WriteLine("AI => TAT: " + corrAiTat);
Console.WriteLine("AI => Int: " + corrAiInt);
}
public static List <ActivityPerMinute> BeginAnalyzation(AcceptableActivityOptions option,
List <RowType> rows)
{
List <ActivityPerMinute> analyzedActivities;
switch (option)
{
case AcceptableActivityOptions.EnergyExpenditure:
analyzedActivities = EnergyExpenditure.ProcessRows(rows);
break;
case AcceptableActivityOptions.ZeroCrossing:
analyzedActivities = ZeroCrossing.ProcessRows(rows);
break;
case AcceptableActivityOptions.ActivityIndex:
analyzedActivities = ActivityIndex.ProcessRows(rows);
break;
case AcceptableActivityOptions.TAT:
analyzedActivities = TimeAboveThreshold.ProcessRows(rows);
break;
case AcceptableActivityOptions.Int:
analyzedActivities = Integral.ProcessRows(rows);
break;
case AcceptableActivityOptions.Corr:
Correlation.CalculateCorr(rows);
analyzedActivities = Integral.ProcessRows(rows); // Needed.
break;
default:
throw new ArgumentOutOfRangeException(nameof(option), option, null);
}
NormalizeActivities(analyzedActivities);
return(analyzedActivities);
}