Mercurial > hg > octave-nkf
view scripts/statistics/tests/chisquare_test_independence.m @ 20818:9d2023d1a63c
binoinv.m: Implement binary search algorithm for 28X performance increase (bug #34363).
* binoinv.m: Call new functions scalar_binoinv or vector_binoinv to calculate
binoinv. If there are still uncalculated values then call bin_search_binoinv
to perform binary search for remaining values. Add more BIST tests.
* binoinv.m (scalar_binoinv): New subfunction to calculate binoinv for scalar x.
Stops when x > 1000.
* binoinv.m (vector_binoinv): New subfunction to calculate binoinv for scalar x.
Stops when x > 1000.
author | Lachlan Andrew <lachlanbis@gmail.com> |
---|---|
date | Sun, 11 Oct 2015 19:49:40 -0700 |
parents | d9341b422488 |
children |
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## Copyright (C) 1995-2015 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 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 ## <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {[@var{pval}, @var{chisq}, @var{df}] =} chisquare_test_independence (@var{x}) ## Perform a chi-square test for independence based on the contingency table ## @var{x}. ## ## Under the null hypothesis of independence, @var{chisq} approximately has a ## chi-square distribution with @var{df} degrees of freedom. ## ## The p-value (1 minus the CDF of this distribution at chisq) of the test 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: Chi-square test for independence function [pval, chisq, df] = chisquare_test_independence (x) if (nargin != 1) print_usage (); endif [r, s] = size (x); df = (r - 1) * (s - 1); n = sum (sum (x)); y = sum (x')' * sum (x) / n; x = (x - y) .^2 ./ y; chisq = sum (sum (x)); pval = 1 - chi2cdf (chisq, df); if (nargout == 0) printf (" pval: %g\n", pval); endif endfunction