public void TestMethod()
{
/* -- testing versions */
PIDebug.Title("Version");
Console.WriteLine(PIConfiguration.Version_isStable());
/* -- testing getPartialSums() */
PIDebug.Title("Partial sums", true);
PIVariable variable = new PIVariable();
variable.AddValues(new int[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 });
PIVariable[] varArray = variable.GetPartsForPartialSum(3, CutStyleForPartialSum.START);
if (varArray != null)
{
Console.WriteLine(varArray.Length);
PIDebug.Blank();
if (varArray.Length >= 1)
{
Console.WriteLine(varArray[0].AsString(0));
}
if (varArray.Length >= 2)
{
Console.WriteLine(varArray[1].AsString(0));
}
if (varArray.Length >= 3)
{
Console.WriteLine(varArray[2].AsString(0));
}
}
PIDebug.Blank();
varArray = variable.GetPartsForPartialSum(3, CutStyleForPartialSum.END);
if (varArray != null)
{
if (varArray.Length >= 1)
{
Console.WriteLine(varArray[0].AsString(0));
}
if (varArray.Length >= 2)
{
Console.WriteLine(varArray[1].AsString(0));
}
if (varArray.Length >= 3)
{
Console.WriteLine(varArray[2].AsString(0));
}
}
/* -- testing order */
PIDebug.Title("Order in variable", true);
PIVariable varA = new PIVariable();
varA.AddValue(175);
varA.AddValue(166);
varA.AddValue(170);
varA.AddValue(169);
varA.AddValue(188);
varA.AddValue(175);
varA.AddValue(176);
varA.AddValue(171);
varA.AddValue(173);
varA.AddValue(175);
varA.AddValue(173);
varA.AddValue(174);
varA.AddValue(169);
PIVariable uniqueOrderedA = varA.GetUniqueOrdered();
Console.WriteLine("1) varA - unique list with frequency and order");
PIDebug.Blank();
for (int i = 0; i < uniqueOrderedA.Count(); i++)
{
Console.WriteLine(String.Format("value = {0:f2} , frequency = {1:d}, order = {2:f2}",
uniqueOrderedA.GetValue(i), uniqueOrderedA.Get(i).GetFrequency(), uniqueOrderedA.Get(i).GetOrder()));
}
PIDebug.Blank();
Console.WriteLine("1a) varA - frequency and order");
PIDebug.Blank();
for (int i = 0; i < varA.Count(); i++)
{
Console.WriteLine(String.Format("value = {0:f2} , frequency = {1:d}, order = {2:f2}",
varA.GetValue(i), varA.Get(i).GetFrequency(), varA.Get(i).GetOrder()));
}
PIVariable varB = new PIVariable();
varB.AddValue(69);
varB.AddValue(55);
varB.AddValue(67);
varB.AddValue(52);
varB.AddValue(90);
varB.AddValue(53);
varB.AddValue(57);
varB.AddValue(57);
varB.AddValue(68);
varB.AddValue(73);
varB.AddValue(62);
varB.AddValue(90);
varB.AddValue(63);
varB.GetUniqueOrdered();
PIDebug.Blank();
Console.WriteLine("2a) varB - frequency and order");
PIDebug.Blank();
for (int i = 0; i < varB.Count(); i++)
{
Console.WriteLine(String.Format("value = {0:f2} , frequency = {1:d}, order = {2:f2}",
varB.GetValue(i), varB.Get(i).GetFrequency(), varB.Get(i).GetOrder()));
}
PIDebug.Blank();
Console.WriteLine("-> order`s difference");
PIDebug.Blank();
PITwoVariables varAB = new PITwoVariables(varA, varB);
Console.WriteLine("Sum of order`s differences = " + varAB.GetSumOrderDiff2());
}
public void TestMethod()
{
/* -- source 2a, 566 */
PIDebug.Title("Two variables");
/* - prepare X data */
PIVariable X = new PIVariable();
Assert.IsNotNull(X);
X.AddValues(new int[] { 2, 3, 3, 3, 4, 4, 5, 5, 5, 6 });
/* - prepare Y data */
PIVariable Y = new PIVariable();
Assert.IsNotNull(Y);
Y.AddValues(new double[] { 28.7, 24.8, 26.0, 30.5, 23.8, 24.6, 23.8, 20.4, 21.6, 22.1 });
/* - input data, show R and R2 */
PITwoVariables twoVariables = new PITwoVariables(X, Y);
Console.WriteLine("Correlation coefficient = " + twoVariables.GetR());
Console.WriteLine("Coefficient of determination = " + twoVariables.GetR2());
PIDebug.Blank();
Assert.AreEqual(-0.818, twoVariables.GetR(), 0.001);
Assert.AreEqual(0.670, twoVariables.GetR2(), 0.001);
/* ------------------------ covariance, source 2i ---------------------------- */
PIDebug.Title("X, Y covariance");
/* - prepare X data */
PIVariable X1 = new PIVariable();
Assert.IsNotNull(X1);
X1.AddValues(new Double[] { 1.1, 1.7, 2.1, 1.4, 0.2 });
/* - prepare Y data */
PIVariable Y1 = new PIVariable();
Assert.IsNotNull(Y1);
Y1.AddValues(new double[] { 3.0, 4.2, 4.9, 4.1, 2.5 });
/* - X, Y */
PITwoVariables twoVariables1 = new PITwoVariables(X1, Y1);
Console.WriteLine("Population covariance = " + twoVariables1.GetPopulationCovariance());
Console.WriteLine("Sample covariance = " + twoVariables1.GetSampleCovariance());
PIDebug.Blank();
Assert.AreEqual(0.532, twoVariables1.GetPopulationCovariance(), 0.001);
Assert.AreEqual(0.665, twoVariables1.GetSampleCovariance(), 0.001);
/* -- source 2n */
PIDebug.Title("Pearson correlation coefficient");
PIVariable varX = new PIVariable();
PIVariable varY = new PIVariable();
Assert.IsNotNull(varX);
Assert.IsNotNull(varY);
PITwoVariables varXY = new PITwoVariables(varX, varY);
Assert.IsNotNull(varXY);
varXY.AddXY(175, 69);
varXY.AddXY(166, 55);
varXY.AddXY(170, 67);
varXY.AddXY(169, 52);
varXY.AddXY(188, 90);
varXY.AddXY(175, 53);
varXY.AddXY(176, 57);
varXY.AddXY(171, 57);
varXY.AddXY(173, 68);
varXY.AddXY(175, 73);
varXY.AddXY(173, 62);
varXY.AddXY(174, 90);
varXY.AddXY(169, 63);
Console.WriteLine("R = " + varXY.GetR());
Console.WriteLine("Pearson`s correlation coeffiecient = " + varXY.GetPearsonCorrelationCoefficient());
Assert.AreEqual(0.639, varXY.GetPearsonCorrelationCoefficient(), 0.001);
Console.WriteLine("Spearman`s rank correlation coeffiecient = " + varXY.GetSpearmanCorrelationCoefficient());
Assert.AreEqual(0.475, varXY.GetSpearmanCorrelationCoefficient(), 0.001);
//Console.Write( string.Format( "{0,3}", "Test") + "x" );
}
