public AnalyticStatisticsItemDetailsWindow(
AnalyticStatisticsItemViewModel item)
: this()
{
if (item == null)
{
throw new ArgumentNullException("item");
}
this.item = item;
sigma = Math.Round(Sigma.Get(item.Model.GetDoubleValues().ToList()), 2);
expectation = Math.Round(item.Model.GetDoubleValues().Average(), 2);
controlProperties.textBlockElementType.Text = item.Type;
controlProperties.textBlockEngineFamily.Text = item.EngineFamily;
controlProperties.textBlockEngine.Text = item.EngineType;
controlProperties.textBlockExpectation.Text =
expectation.ToString(CultureInfo.InvariantCulture);
controlProperties.textBlockSigma.Text =
sigma.ToString(CultureInfo.InvariantCulture);
discretion = float.Parse(
controlDisplaySettings.textBlockDiscretionValue.Text,
NumberStyles.Float, CultureInfo.InvariantCulture);
IDictionary <string, long> distribution = GetDistribution();
controlGraphicalRepresentation.DisplayDistribution(distribution);
}
public void TestDistribution()
{
IList <double> values = new List <double>()
{
3.2, 4.1, 5.3, 5.1, 3.825, 4.8, 2.7, 3.1, 2.3
};
double m = values.Average();
Assert.IsTrue(m > 3.824);
Assert.IsTrue(m < 3.825);
double sigma = Sigma.Get(values); // approx 1.02
Assert.IsTrue(sigma > 1.01);
Assert.IsTrue(sigma < 1.02);
SigmaDistributor distributor =
new SigmaDistributor(values, (float)0.5);
IDictionary <string, long> distribution = distributor.Distribute();
Assert.IsTrue(distribution != null);
Assert.IsTrue(distribution.Count == 6);
Assert.IsTrue(distribution["-1,5σ"] == 2);
Assert.IsTrue(distribution["-1σ"] == 2);
Assert.IsTrue(distribution["-0,5σ"] == 0);
Assert.IsTrue(distribution["+0,5σ"] == 2);
Assert.IsTrue(distribution["+1σ"] == 1);
Assert.IsTrue(distribution["+1,5σ"] == 2);
}
public void TestSigmaGeneration()
{
IList <double> data = new List <double>()
{
3.2, 4.1, 5.3, 5.1, 3.825, 4.8, 2.7, 3.1, 2.3
};
double sigma = Sigma.Get(data);
Assert.IsTrue(sigma > 1.01);
Assert.IsTrue(sigma < 1.02);
}
