Mercurial > hg > octave-lyh
view scripts/statistics/distributions/nbinrnd.m @ 10525:3306cfcb856e
Replace constructs like "NaN * one()" with "NaN()" and "Inf * ones ()" with "Inf()"
author | David Bateman <dbateman@free.fr> |
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date | Fri, 16 Apr 2010 10:32:07 +0200 |
parents | 16f53d29049f |
children | 95c3e38098bf |
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## Copyright (C) 1995, 1996, 1997, 2007, 2009 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} {} nbinrnd (@var{n}, @var{p}, @var{r}, @var{c}) ## @deftypefnx {Function File} {} nbinrnd (@var{n}, @var{p}, @var{sz}) ## Return an @var{r} by @var{c} matrix of random samples from the Pascal ## (negative binomial) distribution with parameters @var{n} and @var{p}. ## Both @var{n} and @var{p} must 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{n} and @var{p}. Or if @var{sz} is a vector, ## create a matrix of size @var{sz}. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Random deviates from the Pascal distribution function rnd = nbinrnd (n, p, r, c) if (nargin > 1) if (!isscalar(n) || !isscalar(p)) [retval, n, p] = common_size (n, p); if (retval > 0) error ("nbinrnd: n and p must be of common size or scalar"); endif endif endif if (nargin == 4) if (! (isscalar (r) && (r > 0) && (r == round (r)))) error ("nbinrnd: r must be a positive integer"); endif if (! (isscalar (c) && (c > 0) && (c == round (c)))) error ("nbinrnd: c must be a positive integer"); endif sz = [r, c]; if (any (size (n) != 1) && ((length (size (n)) != length (sz)) || any (size (n) != sz))) error ("nbinrnd: n and p 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 ("nbinrnd: r must be a positive integer or vector"); endif if (any (size (n) != 1) && ((length (size (n)) != length (sz)) || any (size (n) != sz))) error ("nbinrnd: n and p must be scalar or of size sz"); endif elseif (nargin == 2) sz = size(n); else print_usage (); endif if (isscalar (n) && isscalar (p)) if ((n < 1) || (n == Inf) || (n != round (n)) || (p <= 0) || (p > 1)); rnd = NaN (sz); elseif ((n > 0) && (n < Inf) && (n == round (n)) && (p > 0) && (p <= 1)) rnd = randp ((1 - p) ./ p .* randg (n, sz)); else rnd = zeros (sz); endif else rnd = zeros (sz); k = find ((n < 1) || (n == Inf) || (n != round (n)) || (p <= 0) || (p > 1)); if (any (k)) rnd(k) = NaN; endif k = find ((n > 0) & (n < Inf) & (n == round (n)) & (p > 0) & (p <= 1)); if (any (k)) rnd(k) = randp ((1 - p(k)) ./ p(k) .* randg (n(k), size(k))); endif endif endfunction