Provided by: gbutils_5.7.1-1_amd64 bug


       gbxcorr - Compute cross correlation matrix


       gbxcorr [options]


       Take as input a data matrix A with N rows and T columns

       A = [ a_{t,i} ]
              with t=1,..,T  i=1,...,N

       and  compute  the  NxN  correlation matrix C [ c_{i,j} ] following the method specified by
       option '-M': with method 0 it is

              c_{i,j} = 1/(T-1) \sum_t (a_{t,i}-m_i) (a_{t,j}-m_j)

       where m_i is the i-th mean and with method 1 it is

              c_{i,j} = 1/T \sum_t a_{t,i} a_{t,j} .

       Covariance is stored in the lower triangle while correlation coefficients  are  stored  in
       the upper triangle.

       WARNING: previous implementations were row-wise instead of column-wise


       -M     choose the method (default 0)

       0      covariance/correlation with mean removal

       1      covariance/correlation without mean removal

       -F specify the input fields separators (default " \t")

       -h this help


       Written by Giulio Bottazzi


       Report bugs to <>

       Package home page <>


       Copyright  © 2001-2018 Giulio Bottazzi This program is free software; you can redistribute
       it and/or modify it under the terms of the GNU  General  Public  License  (version  2)  as
       published by the Free Software Foundation;

       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.