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spm_bch_tsampl.m
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spm_bch_tsampl.m
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function [xXa,Sessa,Ka,Pa,nscana,rowa] = spm_bch_tsampl(xX,Sess,K,P,nscan,row)
% SPM batch system: bch mode (only) non regular temporal sampling
% FORMAT [xXa,Sessa,Ka,Pa,nscana,rowa] = spm_bch_tsampl(xX,Sess,K,P,nscan,row)
%
% xX -
% Sess -
% K -
% P -
% nscan -
% row -
% xXa -
% Sessa -
% Ka -
% nscana -
% rowa -
%_______________________________________________________________________
% @(#)spm_bch_tsampl.m 2.8 Stephanie Rouquette 00/01/25
%=======================================================================
% Programmers Guide
%=======================================================================
% Batch system implemented on this routine. See spm_bch.man
% If inputs are modified in this routine, try to modify spm_bch.man
% and spm_bch_bchmat (if necessary) accordingly.
% Calls to spm_input in this routine use the BCH gobal variable.
% BCH.bch_mat
% BCH.index0 = {'normalize',index_of_Analysis};
% or
% BCH.index0 = {'normalisation',index_of_Analysis}; (when
% spm_spn3d is launched for edit_defaults
global BCH;
[xXa,Sessa,Ka,Pa,nscana,rowa] = deal(xX,Sess,K,P,nscan,row);
if ~isempty(BCH)
xXa.X = [];
Pa = '';
compt1 = 0;
compt2 = 0;
for s = 1:length(Sess)
sample = spm_input('batch',{},'remain',s);
nscana(s) = length(sample);
xXa.X = [xXa.X;xX.X(compt1+sample,:)];
Pa = [Pa;P(compt1+sample,:)];
rowa{s} = (compt2+(1:nscana(s)))';
Sessa{s}.row = rowa{s};
Ka{s}.row = rowa{s};
compt1 = compt1+nscan(s);
compt2 = compt2+nscana(s);
end % for s = 1:length(Sess)
end