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📄 hotelling_test.m

📁 similer program for matlab
💻 M
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## Copyright (C) 1996, 1997, 1998, 2000, 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{tsq}] =} hotelling_test (@var{x}, @var{m})## For a sample @var{x} from a multivariate normal distribution with unknown## mean and covariance matrix, test the null hypothesis that @code{mean## (@var{x}) == @var{m}}.#### Hotelling's @math{T^2} is returned in @var{tsq}.  Under the null,## @math{(n-p) T^2 / (p(n-1))} has an F distribution with @math{p} and## @math{n-p} degrees of freedom, where @math{n} and @math{p} are the## numbers of samples and variables, respectively.#### 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: Test for mean of a multivariate normalfunction [pval, Tsq] = hotelling_test (x, m)  if (nargin != 2)    print_usage ();  endif  if (isvector (x))    if (! isscalar (m))      error ("hotelling_test: if x is a vector, m must be a scalar");    endif    n = length (x);    p = 1;  elseif (ismatrix (x))    [n, p] = size (x);    if (n <= p)      error ("hotelling_test: x must have more rows than columns");    endif    if (isvector (m) && length (m) == p)      m = reshape (m, 1, p);    else      error ("hotelling_test: if x is a matrix, m must be a vector of length columns (x)");    endif  else    error ("hotelling_test: x must be a matrix or vector");  endif  d    = mean (x) - m;  Tsq  = n * d * (cov (x) \ d');  pval = 1 - f_cdf ((n-p) * Tsq / (p * (n-1)), p, n-p);  if (nargout == 0)    printf ("  pval: %g\n", pval);  endifendfunction

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