public ci getConfidenceInterval(double alpha)
{
double a = Accord.Math.Normal.Inverse(1 - (alpha / 2)) * STE;
double u = Kappa + a;
double l = Kappa - a;
ci CI = new ci();
CI.UpperBound = u;
CI.LowerBound = l;
return(CI);
}
public ci[] getConfidenceIntervalues(double alpha)
{
double zScore = Accord.Math.Normal.Inverse(1 - alpha / 2);
int rLen = StandardError.Length;
ci[] outCi = new ci[rLen];
int aLen = StandardError.Length;
for (int j = 0; j < aLen; j++)
{
double vl = StandardError[j] * zScore;
double beta = Coefficients[j];
double lbeta = beta - vl;
double ubeta = beta + vl;
ci oci = new ci();
oci.LowerBound = lbeta;
oci.UpperBound = ubeta;
outCi[j] = oci;
}
return(outCi);
}
public void getReport(double alpha)
{
if (gConf == null)
{
buildModel();
}
Forms.RunningProcess.frmRunningProcessDialog rd = new Forms.RunningProcess.frmRunningProcessDialog(false);
rd.Text = "Accuracy Assessment";
rd.TopLevel = true;
rd.pgbProcess.Visible = false;
rd.FormBorderStyle = System.Windows.Forms.FormBorderStyle.Sizable;
string[] hd = new string[labels.Count];
for (int i = 0; i < hd.Length; i++)
{
string s = labels[i];
if (s.Length > 4)
{
hd[i] = s.Substring(0, 4);
}
else
{
hd[i] = s.PadRight(3);
}
}
rd.addMessage(" " + String.Join(" ", hd));
rd.addMessage("------".PadRight((labels.Count + 1) * 7, '-'));
for (int i = 0; i < labels.Count; i++)
{
string[] lnArr = new string[labels.Count + 1];
string vl = labels[i];
if (vl.Length > 4)
{
vl = vl.Substring(0, 4);
}
else
{
vl = vl.PadRight(4);
}
lnArr[0] = vl;
for (int j = 0; j < labels.Count; j++)
{
vl = xtable[i, j].ToString();
if (vl.Length < 4)
{
vl = vl.PadRight(4);
}
lnArr[j + 1] = vl;
}
rd.addMessage(String.Join(" | ", lnArr) + "|");
rd.addMessage("------".PadRight((labels.Count + 1) * 7, '-'));
}
Accord.Statistics.Testing.ChiSquareTest ct = new Accord.Statistics.Testing.ChiSquareTest(ChiSquare, System.Convert.ToInt32(Math.Pow(labels.Count - 1, 2)));
rd.addMessage("Chi-square = " + ChiSquare + " DF = " + ct.DegreesOfFreedom.ToString() + " p-value = " + ct.PValue.ToString());
rd.addMessage("Overall = " + Overall.ToString());
rd.addMessage("Kappa = " + Kappa.ToString());
rd.addMessage("STE = " + STE.ToString());
ci conf = getConfidenceInterval(alpha);
rd.addMessage("Kappa CI = " + conf.LowerBound.ToString() + " - " + conf.UpperBound.ToString());
rd.addMessage("Cohen Kappa Variance = " + CohenKappaVariance.ToString());
rd.Show();
rd.enableClose();
}
public ci getConfidenceInterval(double alpha)
{
double a = Accord.Math.Normal.Inverse(1 - (alpha / 2)) * STE;
double u = Kappa + a;
double l = Kappa - a;
ci CI = new ci();
CI.UpperBound = u;
CI.LowerBound = l;
return CI;
}
public ci[][] getConfidenceIntervalues(double alpha)
{
double zScore = Accord.Math.Normal.Inverse(1 - alpha / 2);
int rLen = StandardError.Length;
ci[][] outCi = new ci[rLen][];
int aLen = StandardError[0].Length;
for (int i = 0; i < rLen; i++)
{
for (int j = 0; j < aLen; j++)
{
double vl = StandardError[i][j] * zScore;
double beta = Coefficients[i][j];
double lbeta = beta - vl;
double ubeta = beta + vl;
ci oci = new ci();
oci.LowerBound=lbeta;
oci.UpperBound=ubeta;
outCi[i][j] = oci;
}
}
return outCi;
}
