public double?MeasureDailyCorrelation(DatePeriodValue period = null)
{
if (this.SourceItems.Count == 0)
{
return(0);
}
else
{
if (period == null)
{
period = new DatePeriodValue(
this.SourceItems.Min(c => c.Target),
this.SourceItems.Max(c => c.Target)
);
}
var groups = this.SourceItems.Where(c => c.Target >= period.Start && c.Target <= period.End)
.GroupBy(c => c.Target.Date).OrderBy(c => c.Key);
var totals = groups.Select(c => c.Sum(c => (double)c.Total.GetValueOrDefault())).ToArray();
var bad = groups.Select(c => c.Sum(c =>
(double)(c.Bad.GetValueOrDefault())
)).ToArray();
var correlation = QualityUtils.MeasureCorrelation(totals, bad);
return(correlation);
}
}
) Measure()
{
var groups = this.Items.GroupBy(c => c.Target).OrderBy(c => c.Key).ToList();
var totals = groups.Select(c => c.Sum(d => d.Total.GetValueOrDefault())).ToArray();
var bad = groups.Select(c => c.Sum(d => d.Bad.GetValueOrDefault())).ToArray();
var dailyInteractions = new List <DateInteractionModel>();
foreach (var item in groups)
{
dailyInteractions.Add(
new DateInteractionModel(item.Key,
item.Sum(c => c.Total).GetValueOrDefault(),
item.Sum(c => c.Good).GetValueOrDefault())
);
}
var pairs = totals.Zip(bad).OrderBy(c => c.First);
totals = pairs.Select(c => c.First).ToArray();
bad = pairs.Select(c => c.Second).ToArray();
double correlation = QualityUtils.MeasureCorrelation(totals, bad);
var(b0, b1, r2) = QualityUtils.LinealRegression(totals, bad);
return(correlation, totals, bad, b0, b1, r2, dailyInteractions);
}