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## -*- texinfo -*-
## @deftypefn  {} {@var{rnd} =} empirical_rnd (@var{data})
## @deftypefnx {} {@var{rnd} =} empirical_rnd (@var{data}, @var{r})
## @deftypefnx {} {@var{rnd} =} empirical_rnd (@var{data}, @var{r}, @var{c}, @dots{})
## @deftypefnx {} {@var{rnd} =} empirical_rnd (@var{data}, [@var{sz}])
## Return a matrix of random samples from the empirical distribution obtained
## from the univariate sample @var{data}.
##
## 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 a random ordering
## of the sample @var{data}.
## @end deftypefn

function rnd = empirical_rnd (data, varargin)

  if (nargin < 1)
    print_usage ();
  endif

  if (! isvector (data))
    error ("empirical_rnd: DATA must be a vector");
  endif

  rnd = discrete_rnd (data, ones (size (data)), varargin{:});

endfunction


%!assert (size (empirical_rnd (ones (3, 1))), [3, 1])
%!assert (size (empirical_rnd (1:2, [4 1])), [4, 1])
%!assert (size (empirical_rnd (1:2, 4, 1)), [4, 1])

## Test class of input preserved
%!assert (class (empirical_rnd (1:2, 1)), "double")
%!assert (class (empirical_rnd (single (1:2), 1)), "single")

## Test input validation
%!error <Invalid call> empirical_rnd ()
%!error empirical_rnd (ones (2), 1)
%!error empirical_rnd (ones (2), 1, 1)