private void initialize(double[][] inputs, double[] outputs)
{
this.NumberOfInputs = inputs[0].Length;
int coefficientCount = NumberOfInputs + 1;
// Store data sets
this.inputData = inputs;
this.outputData = outputs;
// Create additional structures
this.coefficients = new double[coefficientCount];
this.waldTests = new WaldTest[coefficientCount];
this.standardErrors = new double[coefficientCount];
this.oddsRatios = new double[coefficientCount];
this.confidences = new DoubleRange[coefficientCount];
this.ratioTests = new ChiSquareTest[coefficientCount];
this.outputName = "Output";
this.inputNames = new string[NumberOfInputs];
for (int i = 0; i < inputNames.Length; i++)
{
inputNames[i] = "Input " + i;
}
// Create object-oriented structure to represent the analysis
var logCoefs = new List <LogisticCoefficient>(coefficientCount);
for (int i = 0; i < coefficientCount; i++)
{
logCoefs.Add(new LogisticCoefficient(this, i));
}
this.coefficientCollection = new LogisticCoefficientCollection(logCoefs);
}
//---------------------------------------------
#region Constructors
/// <summary>
/// Constructs a Logistic Regression Analysis.
/// </summary>
///
/// <param name="inputs">The input data for the analysis.</param>
/// <param name="outputs">The output data for the analysis.</param>
///
public LogisticRegressionAnalysis(double[][] inputs, double[] outputs)
{
// Initial argument checking
if (inputs == null)
{
throw new ArgumentNullException("inputs");
}
if (outputs == null)
{
throw new ArgumentNullException("outputs");
}
if (inputs.Length != outputs.Length)
{
throw new ArgumentException("The number of rows in the input array must match the number of given outputs.");
}
this.inputCount = inputs[0].Length;
int coefficientCount = inputCount + 1;
// Store data sets
this.inputData = inputs;
this.outputData = outputs;
// Create additional structures
this.coefficients = new double[coefficientCount];
this.waldTests = new WaldTest[coefficientCount];
this.standardErrors = new double[coefficientCount];
this.oddsRatios = new double[coefficientCount];
this.confidences = new DoubleRange[coefficientCount];
this.ratioTests = new ChiSquareTest[coefficientCount];
// Start regression using the Null Model
this.regression = new LogisticRegression(inputCount);
// Create coefficient object collection
List <LogisticCoefficient> list = new List <LogisticCoefficient>(coefficientCount);
for (int i = 0; i < coefficientCount; i++)
{
list.Add(new LogisticCoefficient(this, i));
}
this.coefficientCollection = new LogisticCoefficientCollection(list);
this.source = inputs.ToMatrix();
}
