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## Copyright (C) 2012 Rik Wehbring
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## Copyright (C) 1997-2013 Kurt Hornik
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## This file is part of Octave.
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## Octave is free software; you can redistribute it and/or modify it
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## under the terms of the GNU General Public License as published by
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## the Free Software Foundation; either version 3 of the License, or (at
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## your option) any later version.
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## Octave is distributed in the hope that it will be useful, but
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## WITHOUT ANY WARRANTY; without even the implied warranty of
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## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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## General Public License for more details.
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## You should have received a copy of the GNU General Public License
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## along with Octave; see the file COPYING. If not, see
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## <http://www.gnu.org/licenses/>.
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## @deftypefn {Function File} {} hygecdf (@var{x}, @var{t}, @var{m}, @var{n})
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## Compute the cumulative distribution function (CDF) at @var{x} of the
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## hypergeometric distribution with parameters @var{t}, @var{m}, and
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## @var{n}. This is the probability of obtaining not more than @var{x}
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## marked items when randomly drawing a sample of size @var{n} without
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## replacement from a population of total size @var{t} containing
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## @var{m} marked items.
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## The parameters @var{t}, @var{m}, and @var{n} must be positive integers
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## with @var{m} and @var{n} not greater than @var{t}.
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## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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## Description: CDF of the hypergeometric distribution
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function cdf = hygecdf (x, t, m, n)
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if (!isscalar (t) || !isscalar (m) || !isscalar (n))
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[retval, x, t, m, n] = common_size (x, t, m, n);
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error ("hygecdf: X, T, M, and N must be of common size or scalars");
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if (iscomplex (x) || iscomplex (t) || iscomplex (m) || iscomplex (n))
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error ("hygecdf: X, T, M, and N must not be complex");
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if (isa (x, "single") || isa (t, "single") || isa (m, "single") || isa (n, "single"))
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cdf = NaN (size (x), "single");
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ok = ((t >= 0) & (m >= 0) & (n > 0) & (m <= t) & (n <= t) &
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(t == fix (t)) & (m == fix (m)) & (n == fix (n)));
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cdf = discrete_cdf (x, 0 : n, hygepdf (0 : n, t, m, n));
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for i = find (ok(:)') # Must be row vector arg to for loop
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cdf(i) = discrete_cdf (x(i), v, hygepdf (v, t(i), m(i), n(i)));
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%! y = [0 1/6 5/6 1 1];
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%!assert (hygecdf (x, 4*ones (1,5), 2, 2), y, eps)
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%!assert (hygecdf (x, 4, 2*ones (1,5), 2), y, eps)
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%!assert (hygecdf (x, 4, 2, 2*ones (1,5)), y, eps)
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%!assert (hygecdf (x, 4*[1 -1 NaN 1.1 1], 2, 2), [y(1) NaN NaN NaN y(5)], eps)
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%!assert (hygecdf (x, 4, 2*[1 -1 NaN 1.1 1], 2), [y(1) NaN NaN NaN y(5)], eps)
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%!assert (hygecdf (x, 4, 5, 2), [NaN NaN NaN NaN NaN])
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%!assert (hygecdf (x, 4, 2, 2*[1 -1 NaN 1.1 1]), [y(1) NaN NaN NaN y(5)], eps)
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%!assert (hygecdf (x, 4, 2, 5), [NaN NaN NaN NaN NaN])
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%!assert (hygecdf ([x(1:2) NaN x(4:5)], 4, 2, 2), [y(1:2) NaN y(4:5)], eps)
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%% Test class of input preserved
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%!assert (hygecdf ([x, NaN], 4, 2, 2), [y, NaN], eps)
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%!assert (hygecdf (single ([x, NaN]), 4, 2, 2), single ([y, NaN]), eps ("single"))
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%!assert (hygecdf ([x, NaN], single (4), 2, 2), single ([y, NaN]), eps ("single"))
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%!assert (hygecdf ([x, NaN], 4, single (2), 2), single ([y, NaN]), eps ("single"))
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%!assert (hygecdf ([x, NaN], 4, 2, single (2)), single ([y, NaN]), eps ("single"))
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%% Test input validation
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%!error hygecdf (1,2,3)
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%!error hygecdf (1,2,3,4,5)
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%!error hygecdf (ones (2), ones (3), 1, 1)
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%!error hygecdf (1, ones (2), ones (3), 1)
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%!error hygecdf (1, 1, ones (2), ones (3))
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%!error hygecdf (i, 2, 2, 2)
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%!error hygecdf (2, i, 2, 2)
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%!error hygecdf (2, 2, i, 2)
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%!error hygecdf (2, 2, 2, i)