Mercurial > hg > octave-nkf
view scripts/statistics/tests/bartlett_test.m @ 6754:451b346d8c2f
[project @ 2007-06-25 17:31:46 by jwe]
author | jwe |
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date | Mon, 25 Jun 2007 17:31:47 +0000 |
parents | 34f96dd5441b |
children | 93c65f2a5668 |
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## Copyright (C) 1995, 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} {[@var{pval}, @var{chisq}, @var{df}] =} bartlett_test (@var{x1}, @dots{}) ## Perform a Bartlett test for the homogeneity of variances in the data ## vectors @var{x1}, @var{x2}, @dots{}, @var{xk}, where @var{k} > 1. ## ## Under the null of equal variances, the test statistic @var{chisq} ## approximately follows a chi-square distribution with @var{df} degrees of ## freedom. ## ## The p-value (1 minus the CDF of this distribution at @var{chisq}) is ## returned in @var{pval}. ## ## If no output argument is given, the p-value is displayed. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Bartlett test for homogeneity of variances function [pval, chisq, df] = bartlett_test (varargin) k = nargin; if (k < 2) print_usage (); endif f = zeros (k, 1); v = zeros (k, 1); for i = 1 : k; x = varargin{i}; if (! isvector (x)) error ("bartlett_test: all arguments must be vectors"); endif f(i) = length (x) - 1; v(i) = var (x); endfor f_tot = sum (f); v_tot = sum (f .* v) / f_tot; c = 1 + (sum (1 ./ f) - 1 / f_tot) / (3 * (k - 1)); chisq = (f_tot * log (v_tot) - sum (f .* log (v))) / c; df = k; pval = 1 - chisquare_cdf (chisq, df); if (nargout == 0) printf(" pval: %g\n", pval); endif endfunction