Mercurial > hg > octave-lyh
view scripts/statistics/tests/mcnemar_test.m @ 3456:434790acb067
[project @ 2000-01-19 06:58:51 by jwe]
author | jwe |
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date | Wed, 19 Jan 2000 06:59:23 +0000 |
parents | d8b731d3f7a3 |
children | 38c61cbf086c |
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## Copyright (C) 1996, 1997 Kurt Hornik ## ## This program 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. ## ## This program 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 this file. If not, write to the Free Software Foundation, ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. ## -*- texinfo -*- ## @deftypefn {Function File} {[@var{pval}, @var{chisq}, @var{df}] =} mcnemar_test (@var{x}) ## For a square contingency table @var{x} of data cross-classified on ## the row and column variables, McNemar's test can be used for testing ## the null hypothesis of symmetry of the classification probabilities. ## ## Under the null, @var{chisq} is approximately distributed as chisquare ## 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 of the test is displayed. ## @end deftypefn ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at> ## Description: McNemar's test for symmetry function [pval, chisq, df] = mcnemar_test (x) if (nargin != 1) usage ("mcnemar_test (x)"); endif if (! (min (size (x)) > 1) && is_square (x)) error ("mcnemar_test: x must be a square matrix of size > 1"); elseif (! (all (all (x >= 0)) && all (all (x == round (x))))) error ("mcnemar_test: all entries of x must be nonnegative integers"); endif r = rows (x); df = r * (r - 1) / 2; if (r == 2) num = max (abs (x - x') - 1, 0) .^ 2; else num = abs (x - x') .^ 2; endif chisq = sum (sum (triu (num ./ (x + x'), 1))); pval = 1 - chisquare_cdf (chisq, df); if (nargout == 0) printf (" pval: %g\n", pval); endif endfunction