public void Test()
{
ScoreDistribution s = new ScoreDistribution();
OptimalResultCondition or = new OptimalResultCondition(1, 1, 1, 1);
s[or] = new List<OptimalResult>(){
new OptimalResult(1.0, 1.0, 100,10,0.1),
new OptimalResult(2.0, 1.0, 200,10,0.05),
new OptimalResult(3.0, 1.0, 1000,10,0.01)
};
ScoreDistribution subset = new ScoreDistribution();
subset[or] = new List<OptimalResult>(){
new OptimalResult(2.0, 1.0, 100,0,0),
new OptimalResult(3.0, 1.0, 900,0,0)
};
IFalseDiscoveryRateCalculator calc = new TargetFalseDiscoveryRateCalculator();
double fdr = s.CalculateSubsetFdr(subset, calc);
Assert.AreEqual(0.014, fdr);
}
public bool AreStatsValid()
{
return(ScoreDistribution?.Count(x => x.Amount > 0) >= 3 || AiringProgression?.Count >= 3 ||
StatusDistribution?.Any(x => x.Amount >= 3) == true);
}
