//      g02bw Example Program Text
//      C# version, NAG Copyright 2008
using System;
using NagLibrary;
using System.Globalization;
using System.IO;
namespace NagDotNetExamples
{
  public class G02BWE
  {
    static string datafile = "ExampleData/g02bwe.d";
    static void Main(String[] args)
    {
      if (args.Length == 1)
      {
        datafile = args[0];
      }
      StartExample();
    }
    public static void StartExample()
    {
      try
      {
        DataReader sr = new DataReader(datafile);
        double sw = 0.0;
        int j,   k,   m,   n; string mean = "",  weight = "";
        int ifail;
        Console.WriteLine("g02bw Example Program Results");
        //      Skip heading in data file
        sr.Reset();
        try
        {
          sr.Reset();
          mean = sr.Next();
          weight = sr.Next();
          m = int.Parse(sr.Next());
          n = int.Parse(sr.Next());
        }
        catch
        {
          goto L20;
        }
        double[] r = new double[(m*m+m)/2];
        double[] wmean = new double[m];
        double[] wt = new double[n];
        double[,] x = new double[n, m];
        if (m >=1 && n >= 1)
        {
          sr.Reset();
          for (j = 1; j <= n; j++)
          {
            wt[j - 1] = double.Parse(sr.Next(), CultureInfo.InvariantCulture);
          }
          sr.Reset();
          for (j = 1; j <= n; j++)
          {
            for (k = 1; k <= m; k++)
            {
              x[j - 1, k - 1] = double.Parse(sr.Next(), CultureInfo.InvariantCulture);
            }
          }
          // 
          //         Calculate the sums of squares and cross-products matrix
          G02.g02bu(mean, weight, n, m, x, wt, out sw, wmean, r, out ifail);
          // 
          if (ifail == 0)
          {
            // 
            //            Calculate the correlation matrix
            G02.g02bw(m, r, out ifail);
            // 
            //            Print the correlation matrix
            if (ifail == 0)
            {
              Console.WriteLine(" ");
              X04.x04cc("Upper", "Non-unit", m, r, "Correlation matrix", out ifail);
            }
            else if (ifail == 2)
            {
              Console.WriteLine(" ");
              Console.Write(" {0}", " NOTE: some variances are zero");
              Console.WriteLine(" ");
              X04.x04cc("Upper", "Non-unit", m, r, "Correlation matrix", out ifail);
            }
            else
            {
              Console.WriteLine(" ");
              Console.WriteLine("** g02bw failed with ifail = {0,5}", ifail);
            }
          }
          else
          {
            Console.WriteLine(" ");
            Console.WriteLine("** g02bu failed with ifail = {0,5}", ifail);
          }
        }
        else
        {
          Console.Write("  {0}{1,6}{2}{3,6}", "M or N is too large. M =", m, ", N =", n);
        }
        L20: ;
        // 
      }
      catch (Exception e)
      {
        Console.WriteLine(e.Message);
        Console.Write( "Exception Raised");
      }
    }
  }
}