function [ n_data, n1, n2, lambda, x, fx ] = f_noncentral_cdf_values ( n_data )

%*****************************************************************************80
%
%% F_NONCENTRAL_CDF_VALUES returns some values of the F CDF test function.
%
%  Discussion:
%
%    In Mathematica, the function can be evaluated by:
%
%      Needs["Statistics`ContinuousDistributions`"]
%      dist = NoncentralFRatioDistribution [ n1, n2, lambda ]
%      CDF [ dist, x ]
%
%  Licensing:
%
%    This code is distributed under the GNU LGPL license.
%
%  Modified:
%
%    16 September 2004
%
%  Author:
%
%    John Burkardt
%
%  Reference:
%
%    Milton Abramowitz and Irene Stegun,
%    Handbook of Mathematical Functions,
%    US Department of Commerce, 1964.
%
%    Stephen Wolfram,
%    The Mathematica Book,
%    Fourth Edition,
%    Wolfram Media / Cambridge University Press, 1999.
%
%  Parameters:
%
%    Input/output, integer N_DATA.  The user sets N_DATA to 0 before the
%    first call.  On each call, the routine increments N_DATA by 1, and
%    returns the corresponding data; when there is no more data, the
%    output value of N_DATA will be 0 again.
%
%    Output, integer N1, integer N2, the numerator and denominator
%    degrees of freedom.
%
%    Output, real LAMBDA, the noncentrality parameter.
%
%    Output, real X, the argument of the function.
%
%    Output, real FX, the value of the function.
%
  n_max = 22;

  fx_vec = [ ...
     0.5000000000000000E+00, ...
     0.6367825323508774E+00, ...
     0.5840916116305482E+00, ...
     0.3234431872392788E+00, ...
     0.4501187879813550E+00, ...
     0.6078881441188312E+00, ...
     0.7059275551414605E+00, ...
     0.7721782003263727E+00, ...
     0.8191049017635072E+00, ...
     0.3170348430749965E+00, ...
     0.4327218008454471E+00, ...
     0.4502696915707327E+00, ...
     0.4261881186594096E+00, ...
     0.6753687206341544E+00, ...
     0.4229108778879005E+00, ...
     0.6927667261228938E+00, ...
     0.3632174676491226E+00, ...
     0.4210054012695865E+00, ...
     0.4266672258818927E+00, ...
     0.4464016600524644E+00, ...
     0.8445888579504827E+00, ...
     0.4339300273343604E+00 ];

  lambda_vec = [ ...
     0.00E+00, ...
     0.00E+00, ...
     0.25E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     2.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     2.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     0.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00 ];

  n1_vec = [ ...
     1,  1,  1,  1, ...
     1,  1,  1,  1, ...
     1,  1,  2,  2, ...
     3,  3,  4,  4, ...
     5,  5,  6,  6, ...
     8, 16 ];

  n2_vec = [ ...
     1,  5,  5,  5, ...
     5,  5,  5,  5, ...
     5,  5,  5, 10, ...
     5,  5,  5,  5, ...
     1,  5,  6, 12, ...
    16,  8 ];

  x_vec = [ ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     0.50E+00, ...
     1.00E+00, ...
     2.00E+00, ...
     3.00E+00, ...
     4.00E+00, ...
     5.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     2.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     1.00E+00, ...
     2.00E+00, ...
     2.00E+00 ];

  if ( n_data < 0 )
    n_data = 0;
  end

  n_data = n_data + 1;

  if ( n_max < n_data )
    n_data = 0;
    n1 = 0;
    n2 = 0;
    lambda = 0.0;
    x = 0.0;
    fx = 0.0;
  else
    n1 = n1_vec(n_data);
    n2 = n2_vec(n_data);
    lambda = lambda_vec(n_data);
    x = x_vec(n_data);
    fx = fx_vec(n_data);
  end

  return
end