1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
|
########################################################################
##
## Copyright (C) 1996-2024 The Octave Project Developers
##
## See the file COPYRIGHT.md in the top-level directory of this
## distribution or <https://octave.org/copyright/>.
##
## 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
## <https://www.gnu.org/licenses/>.
##
########################################################################
## -*- texinfo -*-
## @deftypefn {} {@var{rnd} =} empirical_rnd (@var{data})
## @deftypefnx {} {@var{rnd} =} empirical_rnd (@var{data}, @var{r})
## @deftypefnx {} {@var{rnd} =} empirical_rnd (@var{data}, @var{r}, @var{c}, @dots{})
## @deftypefnx {} {@var{rnd} =} empirical_rnd (@var{data}, [@var{sz}])
## Return a matrix of random samples from the empirical distribution obtained
## from the univariate sample @var{data}.
##
## When called with a single size argument, return a square matrix with
## the dimension specified. When called with more than one scalar argument the
## first two arguments are taken as the number of rows and columns and any
## further arguments specify additional matrix dimensions. The size may also
## be specified with a vector of dimensions @var{sz}.
##
## If no size arguments are given then the result matrix is a random ordering
## of the sample @var{data}.
## @end deftypefn
function rnd = empirical_rnd (data, varargin)
if (nargin < 1)
print_usage ();
endif
if (! isvector (data))
error ("empirical_rnd: DATA must be a vector");
endif
rnd = discrete_rnd (data, ones (size (data)), varargin{:});
endfunction
%!assert (size (empirical_rnd (ones (3, 1))), [3, 1])
%!assert (size (empirical_rnd (1:2, [4 1])), [4, 1])
%!assert (size (empirical_rnd (1:2, 4, 1)), [4, 1])
## Test class of input preserved
%!assert (class (empirical_rnd (1:2, 1)), "double")
%!assert (class (empirical_rnd (single (1:2), 1)), "single")
## Test input validation
%!error <Invalid call> empirical_rnd ()
%!error empirical_rnd (ones (2), 1)
%!error empirical_rnd (ones (2), 1, 1)
|
