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- ## Copyright (C) 1995, 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: kendall (x [, y])
- ##
- ## Computes Kendall's tau for each of the variables specified by the
- ## input arguments.
- ##
- ## For matrices, each row is an observation and each column a variable;
- ## vectors are always observations and may be row or column vectors.
- ##
- ## kendall (x) is equivalent to kendall (x, x).
- ##
- ## For two data vectors x, y of common length n, Kendall's tau is the
- ## correlation of the signs of all rank differences of x and y; i.e.,
- ## if both x and y have distinct entries, then \tau = \frac{1}{n(n-1)}
- ## \sum_{i,j} SIGN(q_i-q_j) SIGN(r_i-r_j), where the q_i and r_i are the
- ## ranks of x and y, respectively.
- ##
- ## If x and y are drawn from independent distributions, Kendall's tau is
- ## asymptotically normal with mean 0 and variance (2 * (2n+5)) / (9 * n
- ## * (n-1)).
-
- ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at>
- ## Description: Kendall's rank correlation tau
-
- function tau = kendall (x, y)
-
- if ((nargin < 1) || (nargin > 2))
- usage ("kendall (x [, y])");
- endif
-
- if (rows (x) == 1)
- x = x';
- endif
- [n, c] = size (x);
-
- if (nargin == 2)
- if (rows (y) == 1)
- y = y';
- endif
- if (rows (y) != n)
- error (["kendall: ", ...
- "x and y must have the same number of observations"]);
- else
- x = [x, y];
- endif
- endif
-
- r = ranks (x);
- m = sign (kron (r, ones (n, 1)) - kron (ones (n, 1), r));
- tau = cor (m);
-
- if (nargin == 2)
- tau = tau (1 : c, (c + 1) : columns (x));
- endif
-
- endfunction