public void Verify(List <BooleanStatistic> statistics, CorrelationMatrix correlationMatrix, double meanConfidence = 0.1, double correlationConfidence = 0.1, bool onlyWarn = false, Dictionary <string, double> diffie = null)
{
var samples = GetSamples(1000, statistics);
var taken = new HashSet <string>();
foreach (var outerStat in statistics)
{
if (!NameToColumnIndex.ContainsKey(outerStat.Name))
{
continue;
}
var samplesForOuterStat = GetValue(NameToColumnIndex[outerStat.Name], samples);
var meanForOuterStat = TrueRatio(samplesForOuterStat);
ThrowIfExceedsConfidence(meanForOuterStat, outerStat.TrueRatio, meanConfidence, "Mean for " + outerStat.Name, onlyWarn);
foreach (var innerStat in statistics)
{
var combo = innerStat.Name + outerStat.Name;
if (!NameToColumnIndex.ContainsKey(innerStat.Name))
{
continue;
}
if (taken.Contains(combo))
{
continue;
}
if (innerStat.Name == outerStat.Name)
{
continue;
}
if (outerStat.TrueRatio == 100 || outerStat.TrueRatio == 0 || innerStat.TrueRatio == 100 || innerStat.TrueRatio == 0)
{
continue;
}
var samplesForInnerStat = GetValue(NameToColumnIndex[innerStat.Name], samples);
var cor = StatisticHelper.CalculateCorrelation(samplesForOuterStat, samplesForInnerStat);
var orgCor = correlationMatrix.GetValue(outerStat.Name, innerStat.Name).Value;
var realDiff = ThrowIfExceedsConfidence(cor, orgCor, correlationConfidence, "Correlation between " + innerStat.Name + " and " + outerStat.Name, onlyWarn);
if (diffie != null)
{
if (!diffie.ContainsKey(combo))
{
diffie.Add(combo, 0);
}
diffie[combo] += realDiff;
}
taken.Add(outerStat.Name + innerStat.Name);
}
}
}
public List <BooleanStatistic> SelectApplicableStatistics(List <BooleanStatistic> list)
{
return(list.Where(l => NameToColumnIndex.ContainsKey(l.Name)).ToList());
}