Mercurial > octave-nkf
annotate scripts/statistics/distributions/nbinrnd.m @ 10549:95c3e38098bf
Untabify .m scripts
author | Rik <code@nomad.inbox5.com> |
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date | Fri, 23 Apr 2010 11:28:50 -0700 |
parents | 3306cfcb856e |
children | be55736a0783 |
rev | line source |
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9245 | 1 ## Copyright (C) 1995, 1996, 1997, 2007, 2009 Kurt Hornik |
6349 | 2 ## |
3 ## This file is part of Octave. | |
4 ## | |
5 ## Octave is free software; you can redistribute it and/or modify it | |
6 ## under the terms of the GNU General Public License as published by | |
7016 | 7 ## the Free Software Foundation; either version 3 of the License, or (at |
8 ## your option) any later version. | |
6349 | 9 ## |
10 ## Octave is distributed in the hope that it will be useful, but | |
11 ## WITHOUT ANY WARRANTY; without even the implied warranty of | |
12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
13 ## General Public License for more details. | |
14 ## | |
15 ## You should have received a copy of the GNU General Public License | |
7016 | 16 ## along with Octave; see the file COPYING. If not, see |
17 ## <http://www.gnu.org/licenses/>. | |
6349 | 18 |
19 ## -*- texinfo -*- | |
20 ## @deftypefn {Function File} {} nbinrnd (@var{n}, @var{p}, @var{r}, @var{c}) | |
21 ## @deftypefnx {Function File} {} nbinrnd (@var{n}, @var{p}, @var{sz}) | |
22 ## Return an @var{r} by @var{c} matrix of random samples from the Pascal | |
23 ## (negative binomial) distribution with parameters @var{n} and @var{p}. | |
24 ## Both @var{n} and @var{p} must be scalar or of size @var{r} by @var{c}. | |
25 ## | |
26 ## If @var{r} and @var{c} are omitted, the size of the result matrix is | |
9051
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Grammar check TexInfo in all .m files
Rik <rdrider0-list@yahoo.com>
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27 ## the common size of @var{n} and @var{p}. Or if @var{sz} is a vector, |
6349 | 28 ## create a matrix of size @var{sz}. |
29 ## @end deftypefn | |
30 | |
31 ## Author: KH <Kurt.Hornik@wu-wien.ac.at> | |
32 ## Description: Random deviates from the Pascal distribution | |
33 | |
34 function rnd = nbinrnd (n, p, r, c) | |
35 | |
36 if (nargin > 1) | |
37 if (!isscalar(n) || !isscalar(p)) | |
38 [retval, n, p] = common_size (n, p); | |
39 if (retval > 0) | |
10549 | 40 error ("nbinrnd: n and p must be of common size or scalar"); |
6349 | 41 endif |
42 endif | |
43 endif | |
44 | |
45 if (nargin == 4) | |
46 if (! (isscalar (r) && (r > 0) && (r == round (r)))) | |
47 error ("nbinrnd: r must be a positive integer"); | |
48 endif | |
49 if (! (isscalar (c) && (c > 0) && (c == round (c)))) | |
50 error ("nbinrnd: c must be a positive integer"); | |
51 endif | |
52 sz = [r, c]; | |
53 | |
54 if (any (size (n) != 1) && | |
10549 | 55 ((length (size (n)) != length (sz)) || any (size (n) != sz))) |
6349 | 56 error ("nbinrnd: n and p must be scalar or of size [r, c]"); |
57 endif | |
58 | |
59 elseif (nargin == 3) | |
60 if (isscalar (r) && (r > 0)) | |
61 sz = [r, r]; | |
62 elseif (isvector(r) && all (r > 0)) | |
63 sz = r(:)'; | |
64 else | |
7007 | 65 error ("nbinrnd: r must be a positive integer or vector"); |
6349 | 66 endif |
67 | |
68 if (any (size (n) != 1) && | |
10549 | 69 ((length (size (n)) != length (sz)) || any (size (n) != sz))) |
6349 | 70 error ("nbinrnd: n and p must be scalar or of size sz"); |
71 endif | |
72 elseif (nargin == 2) | |
73 sz = size(n); | |
74 else | |
75 print_usage (); | |
76 endif | |
77 | |
78 if (isscalar (n) && isscalar (p)) | |
79 if ((n < 1) || (n == Inf) || (n != round (n)) || (p <= 0) || (p > 1)); | |
10525
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David Bateman <dbateman@free.fr>
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80 rnd = NaN (sz); |
6349 | 81 elseif ((n > 0) && (n < Inf) && (n == round (n)) && |
10549 | 82 (p > 0) && (p <= 1)) |
6349 | 83 rnd = randp ((1 - p) ./ p .* randg (n, sz)); |
84 else | |
85 rnd = zeros (sz); | |
86 endif | |
87 else | |
88 rnd = zeros (sz); | |
89 | |
90 k = find ((n < 1) || (n == Inf) || (n != round (n)) || | |
10549 | 91 (p <= 0) || (p > 1)); |
6349 | 92 if (any (k)) |
93 rnd(k) = NaN; | |
94 endif | |
95 | |
96 k = find ((n > 0) & (n < Inf) & (n == round (n)) & (p > 0) & (p <= 1)); | |
97 if (any (k)) | |
98 rnd(k) = randp ((1 - p(k)) ./ p(k) .* randg (n(k), size(k))); | |
99 endif | |
100 endif | |
101 | |
102 endfunction |