view scripts/statistics/distributions/unidrnd.m @ 14138:72c96de7a403 stable

maint: update copyright notices for 2012
author John W. Eaton <jwe@octave.org>
date Mon, 02 Jan 2012 14:25:41 -0500
parents 19b9f17d22af
children f3d52523cde1
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## Copyright (C) 2012 Rik Wehbring
## Copyright (C) 2005-2012 John W. Eaton
##
## This file is part of Octave.
##
## Octave 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.
##
## Octave 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 Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

## -*- texinfo -*-
## @deftypefn  {Function File} {} unidrnd (@var{n})
## @deftypefnx {Function File} {} unidrnd (@var{n}, @var{r})
## @deftypefnx {Function File} {} unidrnd (@var{n}, @var{r}, @var{c}, @dots{})
## @deftypefnx {Function File} {} unidrnd (@var{n}, [@var{sz}])
## Return a matrix of random samples from the discrete uniform distribution
## which assumes the integer values 1--@var{n} with equal probability.
## @var{n} may be a scalar or a multi-dimensional array.
##
## When called with a single size argument, return a square matrix with
## the dimension specified.  When called with more than one scalar argument the
## first two arguments are taken as the number of rows and columns and any
## further arguments specify additional matrix dimensions.  The size may also
## be specified with a vector of dimensions @var{sz}.
## 
## If no size arguments are given then the result matrix is the size of
## @var{n}.
## @end deftypefn

## Author: jwe

function rnd = unidrnd (n, varargin)

  if (nargin < 1)
    print_usage ();
  endif

  if (nargin == 1)
    sz = size (n);
  elseif (nargin == 2)
    if (isscalar (varargin{1}) && varargin{1} >= 0)
      sz = [varargin{1}, varargin{1}];
    elseif (isrow (varargin{1}) && all (varargin{1} >= 0))
      sz = varargin{1};
    else
      error ("unidrnd: dimension vector must be row vector of non-negative integers");
    endif
  elseif (nargin > 2)
    if (any (cellfun (@(x) (!isscalar (x) || x < 0), varargin)))
      error ("unidrnd: dimensions must be non-negative integers");
    endif
    sz = [varargin{:}];
  endif

  if (!isscalar (n) && !isequal (size (n), sz))
    error ("unidrnd: N must be scalar or of size SZ");
  endif

  if (iscomplex (n))
    error ("unidrnd: N must not be complex");
  endif

  if (isa (n, "single"))
    cls = "single";
  else
    cls = "double";
  endif

  if (isscalar (n))
    if (n > 0 && n == fix (n))
      rnd = ceil (rand (sz) * n);
    else
      rnd = NaN (sz, cls);
    endif
  else
    rnd = ceil (rand (sz) .* n);

    k = ! (n > 0 & n == fix (n));
    rnd(k) = NaN;
  endif

endfunction


%!assert(size (unidrnd (2)), [1, 1]);
%!assert(size (unidrnd (ones(2,1))), [2, 1]);
%!assert(size (unidrnd (ones(2,2))), [2, 2]);
%!assert(size (unidrnd (10, [4 1])), [4, 1]);
%!assert(size (unidrnd (10, 4, 1)), [4, 1]);

%% Test class of input preserved
%!assert(class (unidrnd (2)), "double");
%!assert(class (unidrnd (single(2))), "single");
%!assert(class (unidrnd (single([2 2]))), "single");

%% Test input validation
%!error unidrnd ()
%!error unidrnd (10, [1;2;3])
%!error unidrnd (10, 2, ones(2))
%!error unidrnd (10*ones(2), 2, 1)
%!error unidrnd (i)