Mercurial > hg > octave-lyh
view scripts/statistics/tests/u_test.m @ 17535:c12c688a35ed default tip lyh
Fix warnings
author | LYH <lyh.kernel@gmail.com> |
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date | Fri, 27 Sep 2013 17:43:27 +0800 |
parents | 1c89599167a6 |
children |
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## Copyright (C) 1995-2012 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{z}] =} u_test (@var{x}, @var{y}, @var{alt}) ## For two samples @var{x} and @var{y}, perform a Mann-Whitney U-test of ## the null hypothesis PROB (@var{x} > @var{y}) == 1/2 == PROB (@var{x} ## < @var{y}). Under the null, the test statistic @var{z} approximately ## follows a standard normal distribution. Note that this test is ## equivalent to the Wilcoxon rank-sum test. ## ## With the optional argument string @var{alt}, the alternative of ## interest can be selected. If @var{alt} is @qcode{"!="} or ## @qcode{"<>"}, the null is tested against the two-sided alternative ## PROB (@var{x} > @var{y}) != 1/2. If @var{alt} is @qcode{">"}, the ## one-sided alternative PROB (@var{x} > @var{y}) > 1/2 is considered. ## Similarly for @qcode{"<"}, the one-sided alternative PROB (@var{x} > ## @var{y}) < 1/2 is considered. The default is the two-sided case. ## ## The p-value of the test is returned in @var{pval}. ## ## If no output argument is given, the p-value of the test is displayed. ## @end deftypefn ## This implementation is still incomplete---for small sample sizes, ## the normal approximation is rather bad ... ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Mann-Whitney U-test function [pval, z] = u_test (x, y, alt) if ((nargin < 2) || (nargin > 3)) print_usage (); endif if (! (isvector (x) && isvector (y))) error ("u_test: both X and Y must be vectors"); endif n_x = length (x); n_y = length (y); r = ranks ([(reshape (x, 1, n_x)), (reshape (y, 1, n_y))]); z = (sum (r(1 : n_x)) - n_x * (n_x + n_y + 1) / 2) ... / sqrt (n_x * n_y * (n_x + n_y + 1) / 12); cdf = stdnormal_cdf (z); if (nargin == 2) alt = "!="; endif if (! ischar (alt)) error ("u_test: ALT must be a string"); endif if (strcmp (alt, "!=") || strcmp (alt, "<>")) pval = 2 * min (cdf, 1 - cdf); elseif (strcmp (alt, ">")) pval = cdf; elseif (strcmp (alt, "<")) pval = 1 - cdf; else error ("u_test: option %s not recognized", alt); endif if (nargout == 0) printf (" pval: %g\n", pval); endif endfunction