X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fstatistics-1.1.3%2Fmvtrnd.m;fp=octave_packages%2Fstatistics-1.1.3%2Fmvtrnd.m;h=c5d1bde106354b10081fdacfa831f27e6e21705a;hp=0000000000000000000000000000000000000000;hb=c880e8788dfc484bf23ce13fa2787f2c6bca4863;hpb=1705066eceaaea976f010f669ce8e972f3734b05

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+## Copyright (C) 2012  Arno Onken <asnelt@asnelt.org>
+##
+## This program is free software; you can redistribute it and/or modify it under
+## the terms of the GNU General Public License as published by the Free Software
+## Foundation; either version 3 of the License, or (at your option) any later
+## version.
+##
+## This program is distributed in the hope that it will be useful, but WITHOUT
+## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+## FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+## details.
+##
+## You should have received a copy of the GNU General Public License along with
+## this program; if not, see <http://www.gnu.org/licenses/>.
+
+## -*- texinfo -*-
+## @deftypefn {Function File} {@var{x} =} mvtrnd (@var{sigma}, @var{nu})
+## @deftypefnx {Function File} {@var{x} =} mvtrnd (@var{sigma}, @var{nu}, @var{n})
+## Generate random samples from the multivariate t-distribution.
+##
+## @subheading Arguments
+##
+## @itemize @bullet
+## @item
+## @var{sigma} is the matrix of correlation coefficients. If there are any
+## non-unit diagonal elements then @var{sigma} will be normalized.
+##
+## @item
+## @var{nu} is the degrees of freedom for the multivariate t-distribution.
+## @var{nu} must be a vector with the same number of elements as samples to be
+## generated or be scalar.
+##
+## @item
+## @var{n} is the number of rows of the matrix to be generated. @var{n} must be
+## a non-negative integer and corresponds to the number of samples to be
+## generated.
+## @end itemize
+##
+## @subheading Return values
+##
+## @itemize @bullet
+## @item
+## @var{x} is a matrix of random samples from the multivariate t-distribution
+## with @var{n} row samples.
+## @end itemize
+##
+## @subheading Examples
+##
+## @example
+## @group
+## sigma = [1, 0.5; 0.5, 1];
+## nu = 3;
+## n = 10;
+## x = mvtrnd (sigma, nu, n);
+## @end group
+##
+## @group
+## sigma = [1, 0.5; 0.5, 1];
+## nu = [2; 3];
+## n = 2;
+## x = mvtrnd (sigma, nu, 2);
+## @end group
+## @end example
+##
+## @subheading References
+##
+## @enumerate
+## @item
+## Wendy L. Martinez and Angel R. Martinez. @cite{Computational Statistics
+## Handbook with MATLAB}. Appendix E, pages 547-557, Chapman & Hall/CRC, 2001.
+##
+## @item
+## Samuel Kotz and Saralees Nadarajah. @cite{Multivariate t Distributions and
+## Their Applications}. Cambridge University Press, Cambridge, 2004.
+## @end enumerate
+## @end deftypefn
+
+## Author: Arno Onken <asnelt@asnelt.org>
+## Description: Random samples from the multivariate t-distribution
+
+function x = mvtrnd (sigma, nu, n)
+
+  # Check arguments
+  if (nargin < 2)
+    print_usage ();
+  endif
+
+  if (! ismatrix (sigma) || any (any (sigma != sigma')) || min (eig (sigma)) <= 0)
+    error ("mvtrnd: sigma must be a positive definite matrix");
+  endif
+
+  if (!isvector (nu) || any (nu <= 0))
+    error ("mvtrnd: nu must be a positive scalar or vector");
+  endif
+  nu = nu(:);
+
+  if (nargin > 2)
+    if (! isscalar (n) || n < 0 | round (n) != n)
+      error ("mvtrnd: n must be a non-negative integer")
+    endif
+    if (isscalar (nu))
+      nu = nu * ones (n, 1);
+    else
+      if (length (nu) != n)
+        error ("mvtrnd: n must match the length of nu")
+      endif
+    endif
+  else
+    n = length (nu);
+  endif
+
+  # Normalize sigma
+  if (any (diag (sigma) != 1))
+    sigma = sigma ./ sqrt (diag (sigma) * diag (sigma)');
+  endif
+
+  # Dimension
+  d = size (sigma, 1);
+  # Draw samples
+  y = mvnrnd (zeros (1, d), sigma, n);
+  u = repmat (chi2rnd (nu), 1, d);
+  x = y .* sqrt (repmat (nu, 1, d) ./ u);
+endfunction
+
+%!test
+%! sigma = [1, 0.5; 0.5, 1];
+%! nu = 3;
+%! n = 10;
+%! x = mvtrnd (sigma, nu, n);
+%! assert (size (x), [10, 2]);
+
+%!test
+%! sigma = [1, 0.5; 0.5, 1];
+%! nu = [2; 3];
+%! n = 2;
+%! x = mvtrnd (sigma, nu, 2);
+%! assert (size (x), [2, 2]);