public void MultinomialTestConstructorTest()
{
// Example from http://www.stat.berkeley.edu/~stark/SticiGui/Text/chiSquare.htm
int[] sample = { 45, 41, 9 };
double[] hypothesizedProportion = { 18 / 38.0, 18 / 38.0, 2 / 38.0 };
MultinomialTest target = new MultinomialTest(sample, hypothesizedProportion);
Assert.AreEqual(18 / 38.0, target.HypothesizedProportions[0]);
Assert.AreEqual(18 / 38.0, target.HypothesizedProportions[1]);
Assert.AreEqual(2 / 38.0, target.HypothesizedProportions[2]);
Assert.AreEqual(45 / 95.0, target.ObservedProportions[0]);
Assert.AreEqual(41 / 95.0, target.ObservedProportions[1]);
Assert.AreEqual(9 / 95.0, target.ObservedProportions[2]);
Assert.AreEqual(3.55555556, target.Statistic, 1e-5);
}
public void MultinomialTestConstructorTest2()
{
// This example is based on the example available on About.com Statistics,
// An Example of Chi-Square Test for a Multinomial Experiment By Courtney Taylor
// http://statistics.about.com/od/Inferential-Statistics/a/An-Example-Of-Chi-Square-Test-For-A-Multinomial-Experiment.htm
// In this example, we would like to test if a die is fair. For this, we
// will be rolling the die 600 times, annotating the result every time
// the die falls. In the end, we got a one 106 times, a two 90 times, a
// three 98 times, a four 102 times, a five 100 times and a six 104 times:
int[] sample = { 106, 90, 98, 102, 100, 104 };
// If the die was fair, we should note that we would be expecting the
// probabilities to be all equal to 1 / 6:
double[] hypothesizedProportion =
{
// 1 2 3 4 5 6
1 / 6.0, 1 / 6.0, 1 / 6.0, 1 / 6.0, 1 / 6.0, 1 / 6.0,
};
// Now, we create our test using the samples and the expected proportion
MultinomialTest test = new MultinomialTest(sample, hypothesizedProportion);
double chiSquare = test.Statistic; // 1.6
bool significant = test.Significant; // false
// Since the test didn't come up significant, it means that we
// don't have enough evidence to to reject the null hypothesis
// that the die is fair.
Assert.AreEqual(1.6000000000000003, chiSquare);
Assert.IsFalse(significant);
}
private void updateFormValues()
{
srPop.Points.Clear();
srSamp.Points.Clear();
srPop2.Points.Clear();
srSamp2.Points.Clear();
System.Windows.Forms.ComboBox cmbPrimary = (System.Windows.Forms.ComboBox)hs.Controls["cmbPrimary"];
string cmbTxt = cmbPrimary.Text;
System.Windows.Forms.DataVisualization.Charting.Chart ch = hs.chrHistogram;
string k = ch.Titles[0].Text.Replace("Distribution for ", "");
if (cmbTxt == "Bins")
{
ch.ChartAreas[0].AxisX.Title = "Bins";
double[] binProp1 = ClusterProportions[k];
double[] binProp2 = ClusterSampleProportions[k];
int[] clusCntSamp = clusSampleCountDic[k];
Accord.Statistics.Testing.MultinomialTest mt = new MultinomialTest(clusCntSamp, binProp1);
ch.ChartAreas[1].AxisX.Title = "Chi-Square = " + mt.Statistic.ToString() + "\np-value = " + mt.PValue.ToString();
double[] xAxes = (from int i in System.Linq.Enumerable.Range(0, binProp1.Length) select System.Convert.ToDouble(i)).ToArray();
double ypSum = 0;
double ysSum = 0;
for (int i = 0; i < binProp1.Length; i++)
{
double bp1 = binProp1[i];
double bp2 = binProp2[i];
ypSum += bp1;
ysSum += bp2;
srPop.Points.AddXY(xAxes[i], bp1);
srSamp.Points.AddXY(xAxes[i], bp2);
srPop2.Points.AddXY(xAxes[i], ypSum);
srSamp2.Points.AddXY(xAxes[i], ysSum);
}
}
else
{
int cmbInd = System.Convert.ToInt32(cmbTxt) - 1;
ch.ChartAreas[0].AxisX.Title = "Principle Component " + cmbTxt;
ch.ChartAreas[1].AxisX.Title = "proportion of variance = " + pca.ProportionOfTotalVariance[cmbInd].ToString() + "\np-value = " + pDic[k][cmbInd].ToString();
double[][] minMax1 = minMaxDic1[k];
double[][] minMax2 = minMaxDic2[k];
double min = minMax1[0][cmbInd];
if (minMax2[0][cmbInd] < min) min = minMax2[0][cmbInd];
double max = minMax1[1][cmbInd];
if (minMax2[1][cmbInd] > max) max = minMax2[1][cmbInd];
double span = (max - min) / numberOfBins;
double[] binProp1 = binPropDic1[k][cmbInd];
double[] binProp2 = binPropDic2[k][cmbInd];
double[] xAxes = new double[binProp1.Length];
double halfMin = min / 2;
for (int i = 0; i < xAxes.Length; i++)
{
xAxes[i] = min + halfMin + (span * i);
}
double ypSum = 0;
double ysSum = 0;
for (int i = 0; i < binProp1.Length; i++)
{
double bp1 = binProp1[i];
double bp2 = binProp2[i];
ypSum += bp1;
ysSum += bp2;
srPop.Points.AddXY(xAxes[i], bp1);
srSamp.Points.AddXY(xAxes[i], bp2);
srPop2.Points.AddXY(xAxes[i], ypSum);
srSamp2.Points.AddXY(xAxes[i], ysSum);
}
}
ch.Show();
}
