Mercurial > hg > octave-lyh
annotate scripts/statistics/distributions/cauchy_rnd.m @ 16506:8a4960f2c7c3
gui: allow running files from the file browser
* files-dock-widget.cc(constructor): connect run_file_signal
(contextmenu_requested): add menu to run the selected file
(contextmenu_run): new slot for running the selected file
(run_file_signal): new signal
* files-dock-widget.h: new function contextmenu_run, new signal run_file_signal
author | Torsten <ttl@justmail.de> |
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date | Fri, 12 Apr 2013 22:20:39 +0200 |
parents | 57569a35765c |
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rev | line source |
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1 ## Copyright (C) 2012 Rik Wehbring |
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2 ## Copyright (C) 1995-2012 Kurt Hornik |
3426 | 3 ## |
3922 | 4 ## This file is part of Octave. |
5 ## | |
6 ## Octave is free software; you can redistribute it and/or modify it | |
7 ## under the terms of the GNU General Public License as published by | |
7016 | 8 ## the Free Software Foundation; either version 3 of the License, or (at |
9 ## your option) any later version. | |
3426 | 10 ## |
3922 | 11 ## Octave is distributed in the hope that it will be useful, but |
3191 | 12 ## WITHOUT ANY WARRANTY; without even the implied warranty of |
13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
3426 | 14 ## General Public License for more details. |
15 ## | |
3191 | 16 ## You should have received a copy of the GNU General Public License |
7016 | 17 ## along with Octave; see the file COPYING. If not, see |
18 ## <http://www.gnu.org/licenses/>. | |
3191 | 19 |
3456 | 20 ## -*- texinfo -*- |
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21 ## @deftypefn {Function File} {} cauchy_rnd (@var{location}, @var{scale}) |
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22 ## @deftypefnx {Function File} {} cauchy_rnd (@var{location}, @var{scale}, @var{r}) |
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23 ## @deftypefnx {Function File} {} cauchy_rnd (@var{location}, @var{scale}, @var{r}, @var{c}, @dots{}) |
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24 ## @deftypefnx {Function File} {} cauchy_rnd (@var{location}, @var{scale}, [@var{sz}]) |
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25 ## Return a matrix of random samples from the Cauchy distribution with |
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26 ## parameters @var{location} and @var{scale}. |
3191 | 27 ## |
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28 ## When called with a single size argument, return a square matrix with |
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29 ## the dimension specified. When called with more than one scalar argument the |
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30 ## first two arguments are taken as the number of rows and columns and any |
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31 ## further arguments specify additional matrix dimensions. The size may also |
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32 ## be specified with a vector of dimensions @var{sz}. |
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33 ## |
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34 ## If no size arguments are given then the result matrix is the common size of |
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35 ## @var{location} and @var{scale}. |
3456 | 36 ## @end deftypefn |
3426 | 37 |
5428 | 38 ## Author: KH <Kurt.Hornik@wu-wien.ac.at> |
3456 | 39 ## Description: Random deviates from the Cauchy distribution |
3191 | 40 |
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41 function rnd = cauchy_rnd (location, scale, varargin) |
3426 | 42 |
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43 if (nargin < 2) |
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44 print_usage (); |
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45 endif |
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46 |
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47 if (!isscalar (location) || !isscalar (scale)) |
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48 [retval, location, scale] = common_size (location, scale); |
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49 if (retval > 0) |
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50 error ("cauchy_rnd: LOCATION and SCALE must be of common size or scalars"); |
4854 | 51 endif |
52 endif | |
53 | |
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54 if (iscomplex (location) || iscomplex (scale)) |
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55 error ("cauchy_rnd: LOCATION and SCALE must not be complex"); |
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56 endif |
4856 | 57 |
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58 if (nargin == 2) |
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59 sz = size (location); |
4854 | 60 elseif (nargin == 3) |
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61 if (isscalar (varargin{1}) && varargin{1} >= 0) |
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62 sz = [varargin{1}, varargin{1}]; |
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63 elseif (isrow (varargin{1}) && all (varargin{1} >= 0)) |
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64 sz = varargin{1}; |
4854 | 65 else |
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66 error ("cauchy_rnd: dimension vector must be row vector of non-negative integers"); |
3191 | 67 endif |
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68 elseif (nargin > 3) |
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69 if (any (cellfun (@(x) (!isscalar (x) || x < 0), varargin))) |
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70 error ("cauchy_rnd: dimensions must be non-negative integers"); |
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71 endif |
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72 sz = [varargin{:}]; |
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73 endif |
4856 | 74 |
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75 if (!isscalar (location) && !isequal (size (location), sz)) |
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76 error ("cauchy_rnd: LOCATION and SCALE must be scalar or of size SZ"); |
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77 endif |
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78 |
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79 if (isa (location, "single") || isa (scale, "single")) |
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80 cls = "single"; |
3191 | 81 else |
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82 cls = "double"; |
3191 | 83 endif |
3426 | 84 |
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85 if (isscalar (location) && isscalar (scale)) |
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86 if (!isinf (location) && (scale > 0) && (scale < Inf)) |
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87 rnd = location - cot (pi * rand (sz, cls)) * scale; |
4854 | 88 else |
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89 rnd = NaN (sz, cls); |
4854 | 90 endif |
91 else | |
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92 rnd = NaN (sz, cls); |
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93 |
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94 k = !isinf (location) & (scale > 0) & (scale < Inf); |
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95 rnd(k) = location(k)(:) - cot (pi * rand (sum (k(:)), 1, cls)) .* scale(k)(:); |
3191 | 96 endif |
97 | |
98 endfunction | |
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99 |
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100 |
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101 %!assert (size (cauchy_rnd (1,2)), [1, 1]) |
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102 %!assert (size (cauchy_rnd (ones (2,1), 2)), [2, 1]) |
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103 %!assert (size (cauchy_rnd (ones (2,2), 2)), [2, 2]) |
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104 %!assert (size (cauchy_rnd (1, 2*ones (2,1))), [2, 1]) |
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105 %!assert (size (cauchy_rnd (1, 2*ones (2,2))), [2, 2]) |
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106 %!assert (size (cauchy_rnd (1, 2, 3)), [3, 3]) |
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107 %!assert (size (cauchy_rnd (1, 2, [4 1])), [4, 1]) |
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108 %!assert (size (cauchy_rnd (1, 2, 4, 1)), [4, 1]) |
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109 |
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110 %% Test class of input preserved |
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111 %!assert (class (cauchy_rnd (1, 2)), "double") |
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112 %!assert (class (cauchy_rnd (single (1), 2)), "single") |
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113 %!assert (class (cauchy_rnd (single ([1 1]), 2)), "single") |
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114 %!assert (class (cauchy_rnd (1, single (2))), "single") |
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115 %!assert (class (cauchy_rnd (1, single ([2 2]))), "single") |
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116 |
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117 %% Test input validation |
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118 %!error cauchy_rnd () |
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119 %!error cauchy_rnd (1) |
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120 %!error cauchy_rnd (ones (3), ones (2)) |
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121 %!error cauchy_rnd (ones (2), ones (3)) |
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122 %!error cauchy_rnd (i, 2) |
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123 %!error cauchy_rnd (2, i) |
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124 %!error cauchy_rnd (1,2, -1) |
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125 %!error cauchy_rnd (1,2, ones (2)) |
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126 %!error cauchy_rnd (1,2, [2 -1 2]) |
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127 %!error cauchy_rnd (1,2, 1, ones (2)) |
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128 %!error cauchy_rnd (1,2, 1, -1) |
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129 %!error cauchy_rnd (ones (2,2), 2, 3) |
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130 %!error cauchy_rnd (ones (2,2), 2, [3, 2]) |
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131 %!error cauchy_rnd (ones (2,2), 2, 2, 3) |
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132 |