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improve timing for plot contributions

time-shift
Houtan Bastani 2017-06-27 10:53:29 +02:00
parent d840695ae0
commit 135898b9c2
1 changed files with 17 additions and 22 deletions
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39
matlab/plot_contributions.m
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@ -31,7 +31,7 @@ function plot_contributions(tagn, tagv, dseriesdata, params)
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
tic
global M_;
jsonfile = [M_.fname '_original.json'];
@ -44,41 +44,36 @@ jsonmodel = loadjson(jsonfile);
jsonmodel = jsonmodel.model;
[lhs, rhs, ~] = getEquationByTag(jsonmodel, tagn, tagv);
w% replace variables with dseriesdata.variablename
% replace variables with dseriesdata.variablename
for i = 1:length(dseriesdata.name)
rhs = strrep(rhs, [dseriesdata{i}.name{:} '('], ['dseriesdata.' dseriesdata{i}.name{:} '(']);
rhs = regexprep(rhs, ['([\s\+\-\*\/]{1}|^)(' dseriesdata{i}.name{:} ')([\s\(\+\-\*\/|$]{1})'], '$1dseriesdata.$2$3');
end
fields = fieldnames(params);
for i = 1:length(fields)
rhs = regexprep(rhs, ['([\s\+\-\\/]{1}|^)(' fields{i} ')([\s\+\-\*\/]{1}|$)'], '$1params.$2$3');
end
% create inline function for rhs
rhsfunc = inline(rhs);
% construct call
rhsfuncargs = argnames(rhsfunc);
nargs = length(rhsfuncargs);
parameters = cell(nargs-1, 1);
for i = 2:nargs
parameters{i-1} = params.(rhsfuncargs{i});
end
contribution = zeros(dseriesdata.nobs, nargs+1);
funceval = rhsfunc(dseriesdata, parameters{:});
contribution(:, 1) = funceval.data;
% call function with all variable values
nvars = length(dseriesdata.name);
contribution = zeros(dseriesdata.nobs, nvars+1);
rhseval = eval(rhs);
contribution(:, 1) = rhseval.data;
dseriesdatabak = dseriesdata;
dseriesdatazero = dseries(zeros(dseriesdata.nobs, nvars), ...
dseriesdata.firstdate, ...
dseriesdata.name);
for i = 1:nvars
dseriesdata = dseriesdatazero;
dseriesdata{dseriesdatabak.name{i}} = dseriesdatabak{i};
funceval = rhsfunc(dseriesdata, parameters{:});
contribution(:, i+1) = funceval.data;
dseriesdata{dseriesdatabak.name{i}} = dseriesdatabak{dseriesdatabak.name{i}};
rhseval = eval(rhs);
contribution(:, i+1) = rhseval.data;
end
figure('Name', lhs);
plot(1:dseriesdata.nobs, contribution)
seriesnames = dseriesdata.name;
legend('All Endogenous',seriesnames{:})
toc
end