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📄 welch_test.m

📁 similer program for matlab
💻 M
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## Copyright (C) 1995, 1996, 1997, 1998, 2000, 2001, 2002, 2005, 2006,##               2007 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{t}, @var{df}] =} welch_test (@var{x}, @var{y}, @var{alt})## For two samples @var{x} and @var{y} from normal distributions with## unknown means and unknown and not necessarily equal variances,## perform a Welch test of the null hypothesis of equal means.## Under the null, the test statistic @var{t} approximately follows a## Student distribution with @var{df} degrees of freedom.#### With the optional argument string @var{alt}, the alternative of## interest can be selected.  If @var{alt} is @code{"!="} or## @code{"<>"}, the null is tested against the two-sided alternative## @code{mean (@var{x}) != @var{m}}.  If @var{alt} is @code{">"}, the## one-sided alternative mean(x) > @var{m} is considered.  Similarly for## @code{"<"}, the one-sided alternative mean(x) < @var{m} 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## Author: KH <Kurt.Hornik@wu-wien.ac.at>## Description: Welch two-sample t testfunction [pval, t, df] = welch_test (x, y, alt)  if ((nargin < 2) || (nargin > 3))    print_usage ();  endif  if (! (isvector (x) && isvector (y)))    error ("welch_test: both x and y must be vectors");  endif  n_x  = length (x);  n_y  = length (y);  mu_x = sum (x) / n_x;  mu_y = sum (y) / n_y;  v_x  = sumsq (x - mu_x) / (n_x * (n_x - 1));  v_y  = sumsq (y - mu_y) / (n_y * (n_y - 1));  c    = v_x / (v_x + v_y);  df   = 1 / (c^2 / (n_x - 1) + (1 - c)^2 / (n_y - 1));  t    = (mu_x - mu_y) / sqrt (v_x + v_y);  cdf  = t_cdf (t, df);  if (nargin == 2)    alt  = "!=";  endif  if (! ischar (alt))    error ("welch_test: alt must be a string");  endif  if (strcmp (alt, "!=") || strcmp (alt, "<>"))    pval = 2 * min (cdf, 1 - cdf);  elseif (strcmp (alt, ">"))    pval = 1 - cdf;  elseif (strcmp (alt, "<"))    pval = cdf;  else    error ("welch_test: option %s not recognized", alt);  endif  if (nargout == 0)    printf ("  pval: %g\n", pval);  endifendfunction

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