public double GetQuantile()
{
return(Math.Round(correlationStat.GetQuantileStudent(0.975, listX.Count - 2), 4));
}
private void FillTextBoxesCorrelation()
{
var alpha = 0.1;
var normalQuantile = Math.Round(correlationStat.BuildNormalQuantile(1 - alpha / 2), 4);
// pair correlation
var pairCorrelation = correlationStat.GetCoefPairCorrelation(firstLevelStat.GetAverage().Key, firstLevelStat.GetAverage().Value);
var pairCorrelationStat = correlationStat.GetStatisticForPairCorrelation(pairCorrelation);
var pairCorrelationQuantile = correlationStat.GetQuantileStudent(1 - alpha / 2, correlationStat.listModels.Count() - 2);
var pairCorrelationSignificance = correlationStat.GetSignificanceForPairCorrelation(pairCorrelationStat, pairCorrelationQuantile);
txtPairCorrelationValue.Text = pairCorrelation.ToString();
txtPairCorrelationStat.Text = pairCorrelationStat.ToString();
txtPairCorrelationQuantile.Text = pairCorrelationQuantile.ToString();
txtSignificance.Text = pairCorrelationSignificance.ToString();
txtLowLimitPairCorrelation.Text = correlationStat.GetLowLimitForPairCorrelation(pairCorrelation, correlationStat.BuildNormalQuantile(1 - alpha / 2)).ToString();
txtHighLimitPairCorrelation.Text = correlationStat.GetHighLimitForPairCorrelation(pairCorrelation, correlationStat.BuildNormalQuantile(1 - alpha / 2)).ToString();
// correlation ratio
var correlationRatio = correlationStat.GetCorrelationRelation();
var correlationRatioStat = correlationStat.GetStatisticCorrelationRatio(correlationRatio);
var quantileFisher = correlationStat.GetQuantileFisher(1 - alpha, 60 - 2, correlationStat.listModels.Count() - 60);
txtCorrelationRatio.Text = correlationRatio.ToString();
txtCorrelationRatioStat.Text = correlationRatioStat.ToString();
txtCorrelationRatioQuantile.Text = quantileFisher.ToString();
txtCorrelationRatioSign.Text = correlationStat.GetSignificanceForCorrelationRatio(correlationRatioStat).ToString();
// spirman coef
txtSpiramnCoef.Text = correlationStat.GetSpirmanCoef().ToString();
txtSpirmanStat.Text = correlationStat.GetSpirmanStat(correlationStat.GetSpirmanCoef()).ToString();
txtSpirmanCoefQuantile.Text = pairCorrelationQuantile.ToString();
txtSpirmanSign.Text = correlationStat.GetSignificanceForSpirmanCoef(correlationStat.GetSpirmanStat(correlationStat.GetSpirmanCoef()), pairCorrelationQuantile).ToString();
// kandela coef
txtKandelaCoef.Text = correlationStat.GetKandelaCoef().ToString();
txtCandelaStat.Text = correlationStat.GetCandelaStat(correlationStat.GetKandelaCoef()).ToString();
txtCandelaSign.Text = correlationStat.GetSignificanceForCandelaCoef(correlationStat.GetCandelaStat(correlationStat.GetKandelaCoef())).ToString();
txtCandelaCoefQuantile.Text = normalQuantile.ToString();
// linnear regression analyze
var getLinearRegressionCoefA = regressionStatistic.GetLinearRegressionCoefs(pairCorrelation).A;
var getLinearRegressionCoefB = regressionStatistic.GetLinearRegressionCoefs(pairCorrelation).B;
txtLinearValueA.Text = getLinearRegressionCoefA.ToString();
txtLinearValueB.Text = getLinearRegressionCoefB.ToString();
var linearDispersionA = regressionStatistic.GetDespersionForA(getLinearRegressionCoefA, getLinearRegressionCoefB);
var linearDispersionB = regressionStatistic.GetDespersionForB(getLinearRegressionCoefA, getLinearRegressionCoefB);
txtLinearDispersionA.Text = linearDispersionA.ToString();
txtLinearDispersionB.Text = linearDispersionB.ToString();
linearStatisticA.Text = regressionStatistic.GetStatistic(getLinearRegressionCoefA, linearDispersionA).ToString();
linearStatisticB.Text = regressionStatistic.GetStatistic(getLinearRegressionCoefB, linearDispersionB).ToString();
var quantile = regressionStatistic.GetQuantile();
txtLinearQuantileA.Text = quantile.ToString();
txtLinearQuantileB.Text = quantile.ToString();
txtLinearSignificanceA.Text = regressionStatistic.GetSignificance(quantile, getLinearRegressionCoefA).ToString();
txtLinearSignificanceB.Text = regressionStatistic.GetSignificance(quantile, getLinearRegressionCoefB).ToString();
txtLinearLowLimitA.Text = regressionStatistic.GetLowLimit(getLinearRegressionCoefA, quantile, linearDispersionA).ToString();
txtLinearHighLimitA.Text = regressionStatistic.GetHighLimit(getLinearRegressionCoefA, quantile, linearDispersionA).ToString();
txtLinearLowLimitB.Text = regressionStatistic.GetLowLimit(getLinearRegressionCoefB, quantile, linearDispersionB).ToString();
txtLinearHighLimitB.Text = regressionStatistic.GetHighLimit(getLinearRegressionCoefB, quantile, linearDispersionB).ToString();
}