Mercurial > hg > octave-lyh
view scripts/statistics/distributions/cauchy_rnd.m @ 8164:0d37c99fc06f
__go_draw_axes__.m: eliminate have_newer_gnuplot variable
author | John W. Eaton <jwe@octave.org> |
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date | Mon, 29 Sep 2008 20:25:42 -0400 |
parents | a1dbe9d80eee |
children | 3306cfcb856e |
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## Copyright (C) 1995, 1996, 1997, 1998, 2000, 2002, 2004, 2005, 2006, ## 2007 Kurt Hornik ## ## 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 ## <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {} cauchy_rnd (@var{lambda}, @var{sigma}, @var{r}, @var{c}) ## @deftypefnx {Function File} {} cauchy_rnd (@var{lambda}, @var{sigma}, @var{sz}) ## Return an @var{r} by @var{c} or a @code{size (@var{sz})} matrix of ## random samples from the Cauchy distribution with parameters @var{lambda} ## and @var{sigma} which must both be scalar or of size @var{r} by @var{c}. ## ## If @var{r} and @var{c} are omitted, the size of the result matrix is ## the common size of @var{lambda} and @var{sigma}. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Random deviates from the Cauchy distribution function rnd = cauchy_rnd (l, scale, r, c) if (nargin > 1) if (!isscalar (l) || !isscalar (scale)) [retval, l, scale] = common_size (l, scale); if (retval > 0) error ("cauchy_rnd: lambda and sigma must be of common size or scalar"); endif endif endif if (nargin == 4) if (! (isscalar (r) && (r > 0) && (r == round (r)))) error ("cauchy_rnd: r must be a positive integer"); endif if (! (isscalar (c) && (c > 0) && (c == round (c)))) error ("cauchy_rnd: c must be a positive integer"); endif sz = [r, c]; if (any (size (l) != 1) && (length (size (l)) != length (sz) || any (size (l) != sz))) error ("cauchy_rnd: lambda and sigma must be scalar or of size [r, c]"); endif elseif (nargin == 3) if (isscalar (r) && (r > 0)) sz = [r, r]; elseif (isvector(r) && all (r > 0)) sz = r(:)'; else error ("cauchy_rnd: r must be a positive integer or vector"); endif if (any (size (l) != 1) && (length (size (l)) != length (sz) || any (size (l) != sz))) error ("cauchy_rnd: lambda and sigma must be scalar or of size sz"); endif elseif (nargin == 2) sz = size(l); else print_usage (); endif if (isscalar (l) && isscalar (scale)) if (find (!(l > -Inf) | !(l < Inf) | !(scale > 0) | !(scale < Inf))) rnd = NaN * ones (sz); else rnd = l - cot (pi * rand (sz)) .* scale; endif else rnd = NaN * ones (sz); k = find ((l > -Inf) & (l < Inf) & (scale > 0) & (scale < Inf)); if (any (k)) rnd(k) = l(k)(:) - cot (pi * rand (size (k))) .* scale(k)(:); endif endif endfunction