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- ## Copyright (C) 1996, 1997 Kurt Hornik
- ##
- ## This program 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 2, or (at your option)
- ## any later version.
- ##
- ## This program 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 this file. If not, write to the Free Software Foundation,
- ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
-
- ## usage: hypergeometric_pdf (x, m, t, n)
- ##
- ## Compute the probability density function (PDF) at x of the
- ## hypergeometric distribution with parameters m, t, and n. This is the
- ## probability of obtaining x marked items when randomly drawing a
- ## sample of size n without replacement from a population of total size
- ## t containing m marked items.
- ##
- ## The arguments must be of common size or scalar.
-
- ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at>
- ## Description: PDF of the hypergeometric distribution
-
- function pdf = hypergeometric_pdf (x, m, t, n)
-
- if (nargin != 4)
- usage ("hypergeometric_pdf (x, m, t, n)");
- endif
-
- [retval, x, m, t, n] = common_size (x, m, t, n);
- if (retval > 0)
- error (["hypergeometric_pdf: ", ...
- "x, m, t, and n must be of common size or scalar"]);
- endif
-
- [r, c] = size (x);
- s = r * c;
- x = reshape (x, 1, s);
- m = reshape (m, 1, s);
- t = reshape (t, 1, s);
- n = reshape (n, 1, s);
- pdf = zeros * ones (1, s);
- ## everything in i1 gives NaN
- i1 = ((m < 0) | (t < 0) | (n <= 0) | (m != round (m)) |
- (t != round (t)) | (n != round (n)) | (m > t) | (n > t));
- ## everything in i2 gives 0 unless in i1
- i2 = ((x != round (x)) | (x < 0) | (x > m) | (n < x) | (n-x > t-m));
- k = find (i1);
- if any (k)
- pdf (k) = NaN * ones (size (k));
- endif
- k = find (!i1 & !i2);
- if any (k)
- pdf (k) = (bincoeff (m(k), x(k)) .* bincoeff (t(k)-m(k), n(k)-x(k))
- ./ bincoeff (t(k), n(k)));
- endif
-
- endfunction
-