view scripts/statistics/corr.m @ 30564:796f54d4ddbf stable

update Octave Project Developers copyright for the new year In files that have the "Octave Project Developers" copyright notice, update for 2021. In all .txi and .texi files except gpl.txi and gpl.texi in the doc/liboctave and doc/interpreter directories, change the copyright to "Octave Project Developers", the same as used for other source files. Update copyright notices for 2022 (not done since 2019). For gpl.txi and gpl.texi, change the copyright notice to be "Free Software Foundation, Inc." and leave the date at 2007 only because this file only contains the text of the GPL, not anything created by the Octave Project Developers. Add Paul Thomas to contributors.in.
author John W. Eaton <jwe@octave.org>
date Tue, 28 Dec 2021 18:22:40 -0500
parents 7854d5752dd2
children 5d3faba0342e
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########################################################################
##
## Copyright (C) 1996-2022 The Octave Project Developers
##
## See the file COPYRIGHT.md in the top-level directory of this
## distribution or <https://octave.org/copyright/>.
##
## 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
## <https://www.gnu.org/licenses/>.
##
########################################################################

## -*- texinfo -*-
## @deftypefn  {} {} corr (@var{x})
## @deftypefnx {} {} corr (@var{x}, @var{y})
## Compute matrix of correlation coefficients.
##
## If each row of @var{x} and @var{y} is an observation and each column is
## a variable, then the @w{(@var{i}, @var{j})-th} entry of
## @code{corr (@var{x}, @var{y})} is the correlation between the
## @var{i}-th variable in @var{x} and the @var{j}-th variable in @var{y}.
## @tex
## $$
## {\rm corr}(x,y) = {{\rm cov}(x,y) \over {\rm std}(x) \, {\rm std}(y)}
## $$
## @end tex
## @ifnottex
##
## @example
## corr (@var{x},@var{y}) = cov (@var{x},@var{y}) / (std (@var{x}) * std (@var{y}))
## @end example
##
## @end ifnottex
## If called with one argument, compute @code{corr (@var{x}, @var{x})},
## the correlation between the columns of @var{x}.
## @seealso{cov}
## @end deftypefn

function retval = corr (x, y = [])

  if (nargin < 1)
    print_usage ();
  endif

  ## Input validation is done by cov.m.  Don't repeat tests here

  ## Special case, scalar is always 100% correlated with itself
  if (isscalar (x))
    if (isa (x, "single"))
      retval = single (1);
    else
      retval = 1;
    endif
    return;
  endif

  ## No check for division by zero error, which happens only when
  ## there is a constant vector and should be rare.
  if (nargin == 2)
    c = cov (x, y);
    s = std (x)' * std (y);
    retval = c ./ s;
  else
    c = cov (x);
    s = sqrt (diag (c));
    retval = c ./ (s * s');
  endif

endfunction


%!test
%! x = rand (10);
%! cc1 = corr (x);
%! cc2 = corr (x, x);
%! assert (size (cc1) == [10, 10] && size (cc2) == [10, 10]);
%! assert (cc1, cc2, sqrt (eps));

%!test
%! x = [1:3]';
%! y = [3:-1:1]';
%! assert (corr (x, y), -1, 5*eps);
%! assert (corr (x, flipud (y)), 1, 5*eps);
%! assert (corr ([x, y]), [1 -1; -1 1], 5*eps);

%!test
%! x = single ([1:3]');
%! y = single ([3:-1:1]');
%! assert (corr (x, y), single (-1), 5*eps);
%! assert (corr (x, flipud (y)), single (1), 5*eps);
%! assert (corr ([x, y]), single ([1 -1; -1 1]), 5*eps);

%!assert (corr (5), 1)
%!assert (corr (single (5)), single (1))

## Test input validation
%!error <Invalid call> corr ()
%!error corr ([1; 2], ["A", "B"])
%!error corr (ones (2,2,2))
%!error corr (ones (2,2), ones (2,2,2))