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📄 hotelling_test.m

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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.## usage:  [pval, Tsq] = hotelling_test (x, m)#### For a sample x from a multivariate normal distribution with unknown## mean and covariance matrix, test the null hypothesis that mean (x) ==## m.#### Tsq is Hotelling's T^2.  Under the null, (n-p) T^2 / (p(n-1)) has an## F distribution with p and n-p degrees of freedom, where n and p are## the numbers of samples and variables, respectively.#### pval is the p-value of the test.#### If no output argument is given, the p-value of the test is displayed.  ## Author:  KH <Kurt.Hornik@ci.tuwien.ac.at>## Description:  Test for mean of a multivariate normal  function [pval, Tsq] = hotelling_test (x, m)    if (nargin != 2)    usage ("hotelling_test (x, m)");  endif    if (is_vector (x))    if (! is_scalar (m))      error ("hotelling_test:  If x is a vector, m must be a scalar.");    endif    n = length (x);    p = 1;  elseif (is_matrix (x))    [n, p] = size (x);    if (n <= p)      error ("hotelling_test:  x must have more rows than columns.");    endif    if (is_vector (m) && length (m) == p)      m = reshape (m, 1, p);    else      error (strcat ("hotelling_test:  ",		     "If x is a matrix, m must be a vector\n",		     "\tof 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);  endif  endfunction

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