Mercurial > hg > octave-lyh
view scripts/statistics/base/spearman.m @ 11436:e151e23f73bc
Overhaul base statistics functions and documentation of same.
Add or improve input validation.
Add input validation tests.
Add functional tests.
Improve or re-write documentation strings.
author | Rik <octave@nomad.inbox5.com> |
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date | Mon, 03 Jan 2011 21:23:08 -0800 |
parents | a1dbe9d80eee |
children | fd0a3ac60b0e |
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## Copyright (C) 1995, 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} {} spearman (@var{x}) ## @deftypefnx {Function File} {} spearman (@var{x}, @var{y}) ## @cindex Spearman's Rho ## Compute Spearman's rank correlation coefficient @var{rho}. ## ## For two data vectors @var{x} and @var{y}, Spearman's @var{rho} is the ## correlation coefficient 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. ## ## @code{spearman (@var{x})} is equivalent to @code{spearman (@var{x}, ## @var{x})}. ## @seealso{ranks, kendall} ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Spearman's rank correlation rho function rho = spearman (x, y = []) if ((nargin < 1) || (nargin > 2)) print_usage (); endif if (! (isnumeric (x) && isnumeric (y))) error ("spearman: X and Y must be numeric matrices or vectors"); endif if (ndims (x) != 2 || ndims (y) != 2) error ("spearman: X and Y must be 2-D matrices or vectors"); endif if (rows (x) == 1) x = x'; endif n = rows (x); if (nargin == 1) rho = corrcoef (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 = corrcoef (ranks (x), ranks (y)); endif endfunction %% Test input validation %!error spearman (); %!error spearman (1, 2, 3); %!error spearman ([true, true]); %!error spearman (ones(1,2), [true, true]); %!error spearman (ones (2,2,2)); %!error spearman (ones (2,2), ones (2,2,2)); %!error spearman (ones (2,2), ones (3,2));