70 lines
2.3 KiB
Matlab
70 lines
2.3 KiB
Matlab
function mcompare(s1,s2)
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% MCOMPARE : MCOMPARE ( [ 'file1' ; 'file2' ] , [ 'var1' ; 'var2' ...] )
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% This optional command plots the relative differences between
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% two different simulations for a list of variables. One plot
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% is drawn for each variable. The trajectories must have been
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% previously saved by the instruction DYNASAVE. The simulation
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% in file1 serves as the base simulation and the ploted quantity
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% is equal to the difference between the two simulation reported
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% to the first one. If, for a given variable, zero is one of the
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% value of the base simulation, the absolute difference is ploted
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% instead of the relative one.
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% Copyright © 2001-2017 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
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global options_
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global nvx nvy x y lag1
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ftest(s1,s2) ;
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ix = [1-lag1(1):size(x,2)-lag1(1)]' ;
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i = [lag1(1):size(ix,1)-lag1(2)+1]' ;
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if size(options_.smpl,1) == 1
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error(['DSAMPLE not specified.']) ;
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end
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if options_.smpl(3) > 0
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if options_.smpl(3) == 2
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if options_.smpl(1)<0 || options_.smpl(2)>size(x,2)-lag1(2)
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error ('Wrong sample.') ;
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end
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i = [options_.smpl(1)+lag1(1):options_.smpl(2)+lag1(1)]' ;
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elseif options_.smpl(3) == 1
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if options_.smpl(1)>size(x,2)-lag1(2)
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error ('Wrong sample.') ;
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end
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i = [lag1(1):options_.smpl(1)+lag1(1)]' ;
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end
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end
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for k = 1:size(x,1)
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figure ;
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x1 = x(k,i) ;
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y1 = y(k,i) ;
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if nnz(x1) < length(x1)
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plot(ix(i),(y1-x1)) ;
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else
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plot(ix(i),(y1-x1)./x1) ;
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end
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xlabel(['Periods']) ;
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title(['Variable ' s2(k)]) ;
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end
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return ;
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