Mercurial > hg > octave-lyh
view scripts/statistics/base/spearman.m @ 5069:b9dae14b5ada
[project @ 2004-11-05 16:18:11 by jwe]
author | jwe |
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date | Fri, 05 Nov 2004 16:18:12 +0000 |
parents | 38c61cbf086c |
children | 4c8a2e4e0717 |
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## Copyright (C) 1995, 1996, 1997 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 2, 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, write to the Free ## Software Foundation, 59 Temple Place - Suite 330, Boston, MA ## 02111-1307, USA. ## -*- texinfo -*- ## @deftypefn {Function File} {} spearman (@var{x}, @var{y}) ## Compute Spearman's rank correlation coefficient @var{rho} 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. ## ## @code{spearman (@var{x})} is equivalent to @code{spearman (@var{x}, ## @var{x})}. ## ## For two data vectors @var{x} and @var{y}, Spearman's @var{rho} is the ## correlation of the ranks of @var{x} and @var{y}. ## ## If @var{x} and @var{y} are drawn from independent distributions, ## @var{rho} has zero mean and variance @code{1 / (n - 1)}, and is ## asymptotically normally distributed. ## @end deftypefn ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at> ## Description: Spearman's rank correlation rho function rho = spearman (x, y) if ((nargin < 1) || (nargin > 2)) usage ("spearman (x, y)"); endif if (rows (x) == 1) x = x'; endif n = rows (x); if (nargin == 1) rho = cor (ranks (x)); else if (rows (y) == 1) y = y'; endif if (rows (y) != n) error ("spearman: x and y must have the same number of observations"); endif rho = cor (ranks (x), ranks (y)); endif endfunction