Mercurial > hg > octave-thorsten
view scripts/statistics/distributions/empirical_rnd.m @ 5307:4c8a2e4e0717
[project @ 2005-04-26 19:24:27 by jwe]
author | jwe |
---|---|
date | Tue, 26 Apr 2005 19:24:47 +0000 |
parents | 265d566cc770 |
children | 2a16423e4aa0 |
line wrap: on
line source
## Copyright (C) 1996, 1997 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 2, 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, write to the Free ## Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA ## 02110-1301, USA. ## -*- texinfo -*- ## @deftypefn {Function File} {} empirical_rnd (@var{n}, @var{data}) ## @deftypefnx {Function File} {} empirical_rnd (@var{data}, @var{r}, @var{c}) ## @deftypefnx {Function File} {} empirical_rnd (@var{data}, @var{sz}) ## Generate a bootstrap sample of size @var{n} from the empirical ## distribution obtained from the univariate sample @var{data}. ## ## If @var{r} and @var{c} are given create a matrix with @var{r} rows and ## @var{c} columns. Or if @var{sz} is a vector, create a matrix of size ## @var{sz}. ## @end deftypefn ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at> ## Description: Bootstrap samples from the empirical distribution function rnd = empirical_rnd (data, r, c) if (nargin == 2) if (isscalar(data)) c = data; data = r; r = 1; endif elseif (nargin != 3) usage ("empirical_rnd (n, data) | empirical_rnd (data, r, c)"); endif if (! isvector (data)) error ("empirical_rnd: data must be a vector"); endif rnd = discrete_rnd (data, ones (size (data)) / length (data), r, c); endfunction