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annotate scripts/statistics/distributions/empirical_rnd.m @ 6046:34f96dd5441b

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[project @ 2006-10-10 16:10:25 by jwe]
author jwe
date Tue, 10 Oct 2006 16:10:31 +0000
parents 2a16423e4aa0
children 93c65f2a5668
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1 ## Copyright (C) 1996, 1997 Kurt Hornik
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2 ##
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3 ## This file is part of Octave.
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4 ##
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5 ## Octave is free software; you can redistribute it and/or modify it
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6 ## under the terms of the GNU General Public License as published by
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7 ## the Free Software Foundation; either version 2, or (at your option)
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8 ## any later version.
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9 ##
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10 ## Octave is distributed in the hope that it will be useful, but
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11 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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13 ## General Public License for more details.
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14 ##
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15 ## You should have received a copy of the GNU General Public License
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16 ## along with Octave; see the file COPYING. If not, write to the Free
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17 ## Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
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18 ## 02110-1301, USA.
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19
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20 ## -*- texinfo -*-
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21 ## @deftypefn {Function File} {} empirical_rnd (@var{n}, @var{data})
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22 ## @deftypefnx {Function File} {} empirical_rnd (@var{data}, @var{r}, @var{c})
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23 ## @deftypefnx {Function File} {} empirical_rnd (@var{data}, @var{sz})
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24 ## Generate a bootstrap sample of size @var{n} from the empirical
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25 ## distribution obtained from the univariate sample @var{data}.
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26 ##
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27 ## If @var{r} and @var{c} are given create a matrix with @var{r} rows and
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28 ## @var{c} columns. Or if @var{sz} is a vector, create a matrix of size
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29 ## @var{sz}.
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30 ## @end deftypefn
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31
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32 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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33 ## Description: Bootstrap samples from the empirical distribution
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34
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35 function rnd = empirical_rnd (data, r, c)
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36
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37 if (nargin == 2)
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38 if (isscalar(data))
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39 c = data;
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40 data = r;
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41 r = 1;
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42 endif
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43 elseif (nargin != 3)
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44 print_usage ();
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45 endif
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46
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47 if (! isvector (data))
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48 error ("empirical_rnd: data must be a vector");
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49 endif
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50
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51 rnd = discrete_rnd (data, ones (size (data)) / length (data), r, c);
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52
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53 endfunction