📄 spm_granger.m.svn-base
字号:
function [G,Psig] = spm_granger (mar)
% Compute Granger causality matrix
% FORMAT [G,Psig] = spm_granger (mar)
%
% mar MAR data structure (see spm_mar.m)
%
% G [d x d] matrix with i,jth entry equal to 1 if
% time series i 'Granger causes' time series j.
% All other entries set to 0.
%
% Psig [d x d] matrix of corresponding significance values
%___________________________________________________________________________
% Copyright (C) 2007 Wellcome Department of Imaging Neuroscience
% Will Penny
% $Id$
d=size(mar.noise_cov,1);
G=ones(d,d);
Psig=ones(d,d);
for i=1:d,
for j=1:d,
con=zeros(d,d);
con(i,j)=1;
Psig(i,j)=spm_mar_conn(mar,con);
end
end
G=Psig<0.05;
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -