private static CoefficientCharacteristic CalculatePairCorrelationCoefficient()
{
CoefficientCharacteristic pairCoefficientCharacteristic = new CoefficientCharacteristic();
pairCoefficientCharacteristic.name = "Pair coefficient characteristic";
pairCoefficientCharacteristic.value = CorrelationField.CalculatePairCorrelationValue();
pairCoefficientCharacteristic.statistic = CorrelationField.CalculatePairCorrelationStatistics(ref pairCoefficientCharacteristic.value);
pairCoefficientCharacteristic.quantil = QuantilCalculator.StudentQuantil((1.0 - (alpha / 2)), (CorrelationField.GetCorrelationFieldList().Count() - 1));
pairCoefficientCharacteristic.valuability = CorrelationField.DoesAddictionExists(ref pairCoefficientCharacteristic.statistic, ref pairCoefficientCharacteristic.quantil);
if (pairCoefficientCharacteristic.valuability)
{
pairCoefficientCharacteristic.confidenceInterval = CorrelationField.CalculatePairCorrelationInterval(ref pairCoefficientCharacteristic.value);
}
else
{
pairCoefficientCharacteristic.confidenceInterval = new Interval(0, 0);
}
return pairCoefficientCharacteristic;
}
private static CoefficientCharacteristic CalculateSpearmanCoefficient()
{
CoefficientCharacteristic spearmanCoefficientCharacteristic = new CoefficientCharacteristic();
spearmanCoefficientCharacteristic.name = "Spearman coefficient";
List<CorrelationFieldCell> spearmanList = CorrelationField.GetCorrelationFieldList();
List<double> x_AmountOfValuesAtBunches = SetRanksForX(ref spearmanList);
List<double> y_AmountOfValuesAtBunches = SetRanksForY(ref spearmanList);
spearmanList = spearmanList.OrderBy(value => value.RankX).ToList();
if ((x_AmountOfValuesAtBunches.Count != 0) || (y_AmountOfValuesAtBunches.Count != 0))
{
spearmanCoefficientCharacteristic.value = CalculateSpearmanCoefficientValue_WithBunches(ref spearmanList, x_AmountOfValuesAtBunches, y_AmountOfValuesAtBunches);
spearmanCoefficientCharacteristic.value = Math.Round(spearmanCoefficientCharacteristic.value, 5);
}
else
{
spearmanCoefficientCharacteristic.value = CalculateSpearmanCoefficientValue_WithoutBunches(ref spearmanList);
spearmanCoefficientCharacteristic.value = Math.Round(spearmanCoefficientCharacteristic.value, 5);
}
spearmanCoefficientCharacteristic.statistic = CalculateSpearmanStatistics(ref spearmanCoefficientCharacteristic.value);
spearmanCoefficientCharacteristic.quantil = QuantilCalculator.StudentQuantil((1.0 - (alpha / 2)), (CorrelationField.GetCorrelationFieldList().Count() - 1)); ;
spearmanCoefficientCharacteristic.valuability = CorrelationField.DoesAddictionExists(ref spearmanCoefficientCharacteristic.statistic, ref spearmanCoefficientCharacteristic.quantil);
spearmanCoefficientCharacteristic.confidenceInterval = new Interval(0, 0);
return spearmanCoefficientCharacteristic;
}
private static CoefficientCharacteristic CalculateCorrelationRatio()
{
CoefficientCharacteristic correlationRatioCharacteristic = new CoefficientCharacteristic();
correlationRatioCharacteristic.name = "Correlation ratio";
correlationRatioCharacteristic.value = CorrelationField.CalculateCorrelationRatioValue();
correlationRatioCharacteristic.statistic = CorrelationField.CalculateCorrelationRatioStatistics();
correlationRatioCharacteristic.quantil = QuantilCalculator.FisherQuantil(1.0 - alpha, amountOfClasses - 1, correlationFieldList.Count - amountOfClasses);
correlationRatioCharacteristic.valuability = CorrelationField.DoesAddictionExists(ref correlationRatioCharacteristic.statistic, ref correlationRatioCharacteristic.quantil);
correlationRatioCharacteristic.confidenceInterval = new Interval(0, 0);
return correlationRatioCharacteristic;
}
private static CoefficientCharacteristic CalculateKendallCoefficient()
{
CoefficientCharacteristic kendallCoefficientCharacteristic = new CoefficientCharacteristic();
kendallCoefficientCharacteristic.name = "Kendall coefficient";
List<CorrelationFieldCell> kendallList = CorrelationField.GetCorrelationFieldList();
List<double> x_AmountOfValuesAtBunches = SetRanksForX(ref kendallList);
List<double> y_AmountOfValuesAtBunches = SetRanksForY(ref kendallList);
kendallList = kendallList.OrderBy(value => value.X).ToList();
if ((x_AmountOfValuesAtBunches.Count != 0) || (y_AmountOfValuesAtBunches.Count != 0))
{
kendallCoefficientCharacteristic.value = CalculateKendallCoefficientValue_WithBunches(ref kendallList, x_AmountOfValuesAtBunches, y_AmountOfValuesAtBunches);
kendallCoefficientCharacteristic.value = Math.Round(kendallCoefficientCharacteristic.value, 5);
}
else
{
kendallCoefficientCharacteristic.value = CalculateKendallCoefficientValue_WithoutBunches(ref kendallList);
kendallCoefficientCharacteristic.value = Math.Round(kendallCoefficientCharacteristic.value, 5);
}
kendallCoefficientCharacteristic.statistic = CalculateKendallStatistics(ref kendallCoefficientCharacteristic.value);
kendallCoefficientCharacteristic.quantil = QuantilCalculator.NormalQuantil(1.0 - alpha / 2.0);
kendallCoefficientCharacteristic.valuability = CorrelationField.DoesAddictionExists(ref kendallCoefficientCharacteristic.statistic, ref kendallCoefficientCharacteristic.quantil);
kendallCoefficientCharacteristic.confidenceInterval = new Interval(0, 0);
return kendallCoefficientCharacteristic;
}