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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: cauchy_rnd (lambda, sigma [, r, c])
- ##
- ## cauchy_rnd (lambda, sigma) returns a matrix of random samples from
- ## the Cauchy distribution with parameters lambda and sigma. The size
- ## of the matrix is the common size of the parameters.
- ##
- ## cauchy_rnd (lambda, sigma, r, c) returns an r by c matrix of random
- ## samples from the Cauchy distribution with parameters lambda and sigma
- ## which must both be scalar or of size r by c.
-
- ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at>
- ## Description: Random deviates from the Cauchy distribution
-
- function rnd = cauchy_rnd (l, scale, r, c)
-
- if (nargin == 4)
- if ( !(is_scalar (r) && (r > 0) && (r == round (r))) )
- error ("cauchy_rnd: r must be a positive integer");
- endif
- if ( !(is_scalar (c) && (c > 0) && (c == round (c))) )
- error ("cauchy_rnd: c must be a positive integer");
- endif
- [retval, l, scale] = common_size (l, scale, zeros (r, c));
- if (retval > 0)
- error (strcat("cauchy_rnd: ",
- "lambda and sigma must be scalar or of size",
- sprintf ("%d by %d.", r, c)));
- endif
- elseif (nargin == 2)
- [retval, l, scale] = common_size (l, scale);
- if (retval > 0)
- error (["cauchy_rnd: ", ...
- "lambda and sigma must be of common size or scalar"]);
- endif
- [r, c] = size (l);
- else
- usage ("cauchy_rnd (lambda, sigma [, r, c])");
- endif
-
- s = r * c;
- l = reshape (l, 1, s);
- scale = reshape (scale, 1, s);
-
- rnd = NaN * ones (1, s);
-
- k = find ((l > -Inf) & (l < Inf) & (scale > 0) & (scale < Inf));
- if (any (k))
- rnd(k) = l(k) - cot (pi * rand (1, length (k))) .* scale(k);
- endif
-
- rnd = reshape (rnd, r, c);
-
- endfunction
-