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########################################################################
##
## Copyright (C) 1996-2024 The Octave Project Developers
##
## See the file COPYRIGHT.md in the top-level directory of this
## distribution or <https://octave.org/copyright/>.
##
## 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
## <https://www.gnu.org/licenses/>.
##
########################################################################
## -*- texinfo -*-
## @deftypefn {} {@var{cdf} =} empirical_cdf (@var{x}, @var{data})
## For each element of @var{x}, compute the cumulative distribution function
## (CDF) at @var{x} of the empirical distribution obtained from
## the univariate sample @var{data}.
## @end deftypefn
function cdf = empirical_cdf (x, data)
if (nargin != 2)
print_usage ();
endif
if (! isvector (data))
error ("empirical_cdf: DATA must be a vector");
endif
cdf = discrete_cdf (x, data, ones (size (data)));
endfunction
%!shared x,v,y
%! x = [-1 0.1 1.1 1.9 3];
%! v = 0.1:0.2:1.9;
%! y = [0 0.1 0.6 1 1];
%!assert (empirical_cdf (x, v), y, eps)
%!assert (empirical_cdf ([x(1) NaN x(3:5)], v), [0 NaN 0.6 1 1], eps)
## Test class of input preserved
%!assert (empirical_cdf ([x, NaN], v), [y, NaN], eps)
%!assert (empirical_cdf (single ([x, NaN]), v), single ([y, NaN]), eps)
%!assert (empirical_cdf ([x, NaN], single (v)), single ([y, NaN]), eps)
## Test input validation
%!error <Invalid call> empirical_cdf ()
%!error <Invalid call> empirical_cdf (1)
%!error empirical_cdf (1, ones (2))
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