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diff --git a/octave_packages/m/statistics/base/median.m b/octave_packages/m/statistics/base/median.m
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+## Copyright (C) 1996-2012 John W. Eaton
+## Copyright (C) 2009-2010 VZLU Prague
+##
+## 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} {} median (@var{x})
+## @deftypefnx {Function File} {} median (@var{x}, @var{dim})
+## Compute the median value of the elements of the vector @var{x}.
+## If the elements of @var{x} are sorted, the median is defined
+## as
+## @tex
+## $$
+## {\rm median} (x) =
+##   \cases{x(\lceil N/2\rceil), & $N$ odd;\cr
+##           (x(N/2)+x(N/2+1))/2, & $N$ even.}
+## $$
+## @end tex
+## @ifnottex
+##
+## @example
+## @group
+##               x(ceil(N/2))             N odd
+## median (x) =
+##              (x(N/2) + x((N/2)+1))/2   N even
+## @end group
+## @end example
+##
+## @end ifnottex
+## If @var{x} is a matrix, compute the median value for each
+## column and return them in a row vector.  If the optional @var{dim}
+## argument is given, operate along this dimension.
+## @seealso{mean, mode}
+## @end deftypefn
+
+## Author: jwe
+
+function retval = median (x, dim)
+
+  if (nargin != 1 && nargin != 2)
+    print_usage ();
+  endif
+
+  if (! (isnumeric (x) || islogical (x)))
+    error ("median: X must be a numeric vector or matrix");
+  endif
+
+  if (isempty (x))
+    error ("median: X cannot be an empty matrix");
+  endif
+
+  nd = ndims (x);
+  sz = size (x);
+  if (nargin < 2)
+    ## Find the first non-singleton dimension.
+    (dim = find (sz > 1, 1)) || (dim = 1);
+  else
+    if (!(isscalar (dim) && dim == fix (dim))
+        || !(1 <= dim && dim <= nd))
+      error ("median: DIM must be an integer and a valid dimension");
+    endif
+  endif
+
+  n = sz(dim);
+  k = floor ((n+1) / 2);
+  if (mod (n, 2) == 1)
+    retval = nth_element (x, k, dim);
+  else
+    retval = mean (nth_element (x, k:k+1, dim), dim);
+  endif
+  ## Inject NaNs where needed, to be consistent with Matlab.
+  retval(any (isnan (x), dim)) = NaN;
+
+endfunction
+
+
+%!test
+%! x = [1, 2, 3, 4, 5, 6];
+%! x2 = x';
+%! y = [1, 2, 3, 4, 5, 6, 7];
+%! y2 = y';
+%!
+%! assert(median (x) == median (x2) && median (x) == 3.5);
+%! assert(median (y) == median (y2) && median (y) == 4);
+%! assert(median ([x2, 2*x2]) == [3.5, 7]);
+%! assert(median ([y2, 3*y2]) == [4, 12]);
+
+%% Test multidimensional arrays (bug #35679)
+%!shared a, b, x, y
+%! rand ("seed", 2);
+%! a = rand (2,3,4,5);
+%! b = rand (3,4,6,5);
+%! x = sort (a, 4);
+%! y = sort (b, 3);
+%!assert (median (a, 4), x(:, :, :, 3));
+%!assert (median (b, 3), (y(:, :, 3, :) + y(:, :, 4, :))/2);
+
+%!assert(median (single([1,2,3])), single(2));
+%!assert(median ([1,2,NaN;4,5,6;NaN,8,9]), [NaN, 5, NaN]);
+
+%% Test input validation
+%!error median ();
+%!error median (1, 2, 3);
+%!error median ({1:5});
+%!error median (['A'; 'B']);
+%!error median (1, ones(2,2));
+%!error median (1, 1.5);
+%!error median (1, 0);
+