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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_2 (x, y)
- ##
- ## For two samples x from multivariate normal distributions with the
- ## same number of variables (columns), unknown means and unknown equal
- ## covariance matrices, test the null hypothesis mean (x) == mean (y).
- ##
- ## Tsq is Hotelling's two-sample T^2. Under the null,
- ## (n_x+n_y-p-1) T^2 / (p(n_x+n_y-2))
- ## has an F distribution with p and n_x+n_y-p-1 degrees of freedom,
- ## where n_x and n_y are the sample sizes and p is the number of
- ## variables.
- ##
- ## 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: Compare means of two multivariate normals
-
- function [pval, Tsq] = hotelling_test_2 (x, y)
-
- if (nargin != 2)
- usage ("hotelling_test_2 (x, y)");
- endif
-
- if (is_vector (x))
- n_x = length (x);
- if (! is_vector (y))
- error ("hotelling_test_2: If x is a vector, y must be too.");
- else
- n_y = length (y);
- p = 1;
- endif
- elseif (is_matrix (x))
- [n_x, p] = size (x);
- [n_y, q] = size (y);
- if (p != q)
- error (strcat ("hotelling_test_2: ",
- "x and y must have the same number of columns"));
- endif
- else
- error ("hotelling_test_2: x and y must be matrices (or vectors)");
- endif
-
- d = mean (x) - mean (y);
- S = ((n_x - 1) * cov (x) + (n_y - 1) * cov (y)) / (n_x + n_y - 2);
- Tsq = (n_x * n_y / (n_x + n_y)) * d * (S \ d');
- pval = 1 - f_cdf ((n_x + n_y - p - 1) * Tsq / (p * (n_x + n_y - 2)),
- p, n_x + n_y - p - 1);
-
- if (nargout == 0)
- printf (" pval: %g\n", pval);
- endif
-
- endfunction