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geometric_rnd.m
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1997-03-04
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## Copyright (C) 1995, 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: geometric_rnd (p [, r, c])
##
## geometric_rnd (p) returns a matrix of random samples from the
## geometric distribution with parameter p. The size of the matrix is
## the size of p.
##
## geometric_rnd (p, r, c) returns an r by c matrix of random samples
## from the geometric distribution with parameter p, which must be a
## scalar or of size r by c.
## Author: KH <Kurt.Hornik@ci.tuwien.ac.at>
## Description: Random deviates from the geometric distribution
function rnd = geometric_rnd (p, r, c)
if (nargin == 3)
if ( !(is_scalar (r) && (r > 0) && (r == round (r))) )
error ("geometric_rnd: r must be a positive integer");
endif
if ( !(is_scalar (c) && (c > 0) && (c == round (c))) )
error ("geometric_rnd: c must be a positive integer");
endif
[retval, p] = common_size (p, zeros (r, c));
if (retval > 0)
error (strcat("geometric_rnd: ",
"p must be scalar or of size ",
sprintf ("%d by %d", r, c)));
endif
elseif (nargin != 1)
usage ("geometric_rnd (p [, r, c])");
endif
[r, c] = size (p);
s = r * c;
p = reshape (p, 1, s);
rnd = zeros (1, s);
k = find (!(p >= 0) | !(p <= 1));
if (any (k))
rnd(k) = NaN * ones (1, length (k));
endif
k = find (p == 0);
if (any (k))
rnd(k) = Inf * ones (1, length (k));
endif
k = find ((p > 0) & (p < 1));
if (any (k))
rnd(k) = floor (log (rand (1, length (k))) ./ log (1 - p(k)));
endif
rnd = reshape (rnd, r, c);
endfunction