--- /dev/null
+## Copyright (C) 2012 Rik Wehbring
+## Copyright (C) 2007-2012 David Bateman
+##
+## 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} {} unidcdf (@var{x}, @var{n})
+## For each element of @var{x}, compute the cumulative distribution
+## function (CDF) at @var{x} of a discrete uniform distribution which assumes
+## the integer values 1--@var{n} with equal probability.
+## @end deftypefn
+
+function cdf = unidcdf (x, n)
+
+ if (nargin != 2)
+ print_usage ();
+ endif
+
+ if (! isscalar (n))
+ [retval, x, n] = common_size (x, n);
+ if (retval > 0)
+ error ("unidcdf: X and N must be of common size or scalars");
+ endif
+ endif
+
+ if (iscomplex (x) || iscomplex (n))
+ error ("unidcdf: X and N must not be complex");
+ endif
+
+ if (isa (x, "single") || isa (n, "single"))
+ cdf = zeros (size (x), "single");
+ else
+ cdf = zeros (size (x));
+ endif
+
+ knan = isnan (x) | ! (n > 0 & n == fix (n));
+ if (any (knan(:)))
+ cdf(knan) = NaN;
+ endif
+
+ k = (x >= n) & !knan;
+ cdf(k) = 1;
+
+ k = (x >= 1) & (x < n) & !knan;
+ if (isscalar (n))
+ cdf(k) = floor (x(k)) / n;
+ else
+ cdf(k) = floor (x(k)) ./ n(k);
+ endif
+
+endfunction
+
+
+%!shared x,y
+%! x = [0 1 2.5 10 11];
+%! y = [0, 0.1 0.2 1.0 1.0];
+%!assert(unidcdf (x, 10*ones(1,5)), y);
+%!assert(unidcdf (x, 10), y);
+%!assert(unidcdf (x, 10*[0 1 NaN 1 1]), [NaN 0.1 NaN y(4:5)]);
+%!assert(unidcdf ([x(1:2) NaN Inf x(5)], 10), [y(1:2) NaN 1 y(5)]);
+
+%% Test class of input preserved
+%!assert(unidcdf ([x, NaN], 10), [y, NaN]);
+%!assert(unidcdf (single([x, NaN]), 10), single([y, NaN]));
+%!assert(unidcdf ([x, NaN], single(10)), single([y, NaN]));
+
+%% Test input validation
+%!error unidcdf ()
+%!error unidcdf (1)
+%!error unidcdf (1,2,3)
+%!error unidcdf (ones(3),ones(2))
+%!error unidcdf (ones(2),ones(3))
+%!error unidcdf (i, 2)
+%!error unidcdf (2, i)
+