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Merge branch 'Cosmetics' into 'master' 

Cosmetic fixes to various functions

See merge request Dynare/dynare!2072
bgp-dev
Stéphane Adjemian 2022-08-31 14:57:16 +00:00
parent ca31a087f8 6872d8b0d1
commit 4aa47e521c
4 changed files with 6 additions and 6 deletions
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2
matlab/parallel/AnalyseComputationalEnvironment.m
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@ -104,7 +104,7 @@ dynareParallelMkDir(RemoteTmpFolder,DataInput);
ErrorCode=0;
for Node=1:length(DataInput) % To obtain a recoursive function remove the 'for'
for Node=1:length(DataInput) % To obtain a recursive function remove the 'for'
% and use AnalyseComputationalEnvironment with differents input!

6
matlab/rplot.m
View File

@ -74,7 +74,7 @@ if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,['%% ' datestr(now,0) '\n']);
end
if options_.rplottype == 0
if options_.rplottype == 0 %all in one plot
hh=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
plot(ix(i),y(:,i)) ;
if options_.TeX
@ -98,7 +98,7 @@ if options_.rplottype == 0
if options_.TeX && any(strcmp('eps',cellstr(options_.graph_format)))
create_TeX_loader(fidTeX,[M_.dname, '/graphs/', 'SimulatedTrajectory_' s1{1}],'Simulated trajectories','SimulatedTrajectory_',s1{1},1)
end
elseif options_.rplottype == 1
elseif options_.rplottype == 1 %separate figures each
for j = 1:size(y,1)
hh=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
plot(ix(i),y(j,i)) ;
@ -114,7 +114,7 @@ elseif options_.rplottype == 1
create_TeX_loader(fidTeX,[M_.dname, '/graphs/', 'SimulatedTrajectory_' s1{j}],'Simulated trajectories','SimulatedTrajectory_',s1{j},1);
end
end
elseif options_.rplottype == 2
elseif options_.rplottype == 2 %different subplots
hh=dyn_figure(options_.nodisplay,'Name', 'Simulated Trajectory');
nl = max(1,fix(size(y,1)/4)) ;
nc = ceil(size(y,1)/nl) ;

2
matlab/set_prior.m
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@ -1,5 +1,5 @@
function [xparam1, estim_params_, bayestopt_, lb, ub, M_]=set_prior(estim_params_, M_, options_)
% function [xparam1,estim_params_,bayestopt_,lb,ub]=set_prior(estim_params_)
% function [xparam1,estim_params_,bayestopt_,lb,ub, M_]=set_prior(estim_params_, M_, options_)
% sets prior distributions
%
% INPUTS