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Commit 4c255cf2 authored by Johannes Pfeifer's avatar Johannes Pfeifer Committed by Sébastien Villemot
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Starts implementing Ticket 216. Most plotting and figure is now controlled by... 

Starts implementing Ticket 216. Most plotting and figure is now controlled by the functions dyn_figure and dyn_saveas, allowing for option_.nodisplay to suppress the displaying of figures and using options_.graph_format to control the format of saved figures.
parent 2bc399cd
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matlab/McMCDiagnostics.m
View file @ 4c255cf2
......@@ -130,11 +130,7 @@ clear pmet temp moyenne CSUP CINF csup cinf n linea iter tmp;
pages = floor(npar/3);
k = 0;
for i = 1:pages
if options_.nograph
h = figure('Name','MCMC univariate diagnostic (Brooks and Gelman,1998)','Visible','off');
else
h = figure('Name','MCMC univariate diagnostic (Brooks and Gelman,1998)');
end
h=dyn_figure(options_,'Name','MCMC univariate diagnostic (Brooks and Gelman,1998)');
boxplot = 1;
for j = 1:3 % Loop over parameters
k = k+1;
......@@ -172,15 +168,7 @@ for i = 1:pages
boxplot = boxplot + 1;
end
end
eval(['print -depsc2 ' DirectoryName '/' M_.fname '_udiag' int2str(i) '.eps']);
if ~exist('OCTAVE_VERSION')
eval(['print -dpdf ' DirectoryName '/' M_.fname '_udiag' int2str(i)]);
end
if options_.nograph, set(h,'visible','on'), end
if ~exist('OCTAVE_VERSION')
saveas(h,[DirectoryName '/' M_.fname '_udiag' int2str(i) '.fig']);
end
if options_.nograph, close(h), end
dyn_saveas(h,[DirectoryName '/' M_.fname '_udiag' int2str(i)],options_);
if TeX
fprintf(fidTeX,'\\begin{figure}[H]\n');
for jj = 1:size(NAMES,1)
......@@ -205,10 +193,7 @@ if reste
nr = 2;
nc = 3;
end
if options_.nograph
h = figure('Name','MCMC univariate diagnostic (Brooks and Gelman, 1998)','Visible','off');
else
h = figure('Name','MCMC univariate diagnostic (Brooks and Gelman, 1998)');
h = dyn_figure(options_,'Name','MCMC univariate diagnostic (Brooks and Gelman, 1998)');
end
boxplot = 1;
for j = 1:reste
......@@ -247,15 +232,7 @@ if reste
boxplot = boxplot + 1;
end
end
eval(['print -depsc2 ' DirectoryName '/' M_.fname '_udiag' int2str(pages+1) '.eps']);
if ~exist('OCTAVE_VERSION')
eval(['print -dpdf ' DirectoryName '/' M_.fname '_udiag' int2str(pages+1)]);
end
if options_.nograph, set(h,'visible','on'), end
if ~exist('OCTAVE_VERSION')
saveas(h,[DirectoryName '/' M_.fname '_udiag' int2str(pages+1) '.fig']);
end
if options_.nograph, close(h), end
dyn_saveas(h,[ DirectoryName '/' M_.fname '_udiag' int2str(pages+1)],options_);
if TeX
fprintf(fidTeX,'\\begin{figure}[H]\n');
for jj = 1:size(NAMES,1);
......@@ -331,11 +308,8 @@ for iter = Origin:StepSize:NumberOfDraws
end
end
MDIAG(:,[2 4 6],:) = MDIAG(:,[2 4 6],:)/nblck;
if options_.nograph
h = figure('Name','Multivariate diagnostic','Visible','off');
else
h = figure('Name','Multivariate diagnostic');
end
h = dyn_figure(options_,'Name','Multivariate diagnostic');
boxplot = 1;
for crit = 1:3
if crit == 1
......@@ -367,15 +341,8 @@ for crit = 1:3
title(namnam,'Interpreter','none');
boxplot = boxplot + 1;
end
eval(['print -depsc2 ' DirectoryName '/' M_.fname '_mdiag.eps']);
if ~exist('OCTAVE_VERSION')
eval(['print -dpdf ' DirectoryName '/' M_.fname '_mdiag']);
end
if options_.nograph, set(h,'visible','on'), end
if ~exist('OCTAVE_VERSION')
saveas(h,[DirectoryName '/' M_.fname '_mdiag.fig']);
end
if options_.nograph, close(h), end
dyn_saveas(h,[ DirectoryName '/' M_.fname '_mdiag'],options_);
if TeX
fprintf(fidTeX,'\\begin{figure}[H]\n');
for jj = 1:3
......
matlab/PlotPosteriorDistributions.m
View file @ 4c255cf2
......@@ -63,11 +63,7 @@ for i=1:npar
subplotnum = subplotnum+1;
if subplotnum == 1
figunumber = figunumber+1;
if options_.nograph
hfig = figure('Name',figurename,'Visible','off');
else
hfig = figure('Name',figurename);
end
hfig=dyn_figure(options_,'Name',figurename);
end
[nam,texnam] = get_the_name(i,TeX,M_,estim_params_,options_);
if subplotnum == 1
......@@ -156,16 +152,7 @@ for i=1:npar
hold off;
drawnow
if subplotnum == MaxNumberOfPlotPerFigure || i == npar;
eval(['print -depsc2 ' OutputDirectoryName '/' M_.fname '_PriorsAndPosteriors' int2str(figunumber) '.eps']);
if ~exist('OCTAVE_VERSION')
eval(['print -dpdf ' OutputDirectoryName '/' M_.fname '_PriorsAndPosteriors' int2str(figunumber)]);
end
if options_.nograph,
set(hfig,'Visible','on');
end
if ~exist('OCTAVE_VERSION')
saveas(hfig,[OutputDirectoryName '/' M_.fname '_PriorsAndPosteriors' int2str(figunumber) '.fig']);
end
dyn_saveas(hfig,[OutputDirectoryName '/' M_.fname '_PriorsAndPosteriors' int2str(figunumber)],options_);
if TeX
fprintf(fidTeX,'\\begin{figure}[H]\n');
for j = 1:size(NAMES,1)
......@@ -182,9 +169,6 @@ for i=1:npar
fclose(fidTeX);
end
end
if options_.nograph,
close(hfig),
end
subplotnum = 0;
end
end
\ No newline at end of file
matlab/PosteriorIRF_core2.m
View file @ 4c255cf2
......@@ -89,19 +89,13 @@ for i=fpar:npar,
for j=1:nvar
if max(abs(MeanIRF(:,j,i))) > 10^(-6)
subplotnum = subplotnum+1;
if options_.nograph
if subplotnum == 1 && options_.relative_irf
hh = figure('Name',['Relative response to orthogonalized shock to ' tit(i,:)],'Visible','off');
elseif subplotnum == 1 && ~options_.relative_irf
hh = figure('Name',['Orthogonalized shock to ' tit(i,:)],'Visible','off');
end
else
if subplotnum == 1 && options_.relative_irf
hh = figure('Name',['Relative response to orthogonalized shock to ' tit(i,:)]);
elseif subplotnum == 1 && ~options_.relative_irf
hh = figure('Name',['Orthogonalized shock to ' tit(i,:)]);
end
dyn_figure(options_,'Name',['Relative response to orthogonalized shock to ' tit(i,:)])
if subplotnum == 1 && options_.relative_irf
hh = dyn_figure(options_,'Name',['Relative response to orthogonalized shock to ' tit(i,:)]);
elseif subplotnum == 1 && ~options_.relative_irf
hh = dyn_figure(options_,'Name',['Orthogonalized shock to ' tit(i,:)]);
end
set(0,'CurrentFigure',hh)
subplot(nn,nn,subplotnum);
if ~MAX_nirfs_dsgevar
......@@ -142,17 +136,10 @@ for i=fpar:npar,
if subplotnum == MaxNumberOfPlotPerFigure || (j == nvar && subplotnum> 0)
figunumber = figunumber+1;
set(hh,'visible','on')
eval(['print -depsc2 ' DirectoryName '/' M_.fname '_Bayesian_IRF_' deblank(tit(i,:)) '_' int2str(figunumber) '.eps']);
if ~exist('OCTAVE_VERSION')
eval(['print -dpdf ' DirectoryName '/' M_.fname '_Bayesian_IRF_' deblank(tit(i,:)) '_' int2str(figunumber)]);
saveas(hh,[DirectoryName '/' M_.fname '_Bayesian_IRF_' deblank(tit(i,:)) '_' int2str(figunumber) '.fig']);
end
dyn_saveas(hh,[DirectoryName '/' M_.fname '_Bayesian_IRF_' deblank(tit(i,:)) '_' int2str(figunumber)],options_);
if RemoteFlag==1,
OutputFileName = [OutputFileName; {[DirectoryName,filesep], [M_.fname '_Bayesian_IRF_' deblank(tit(i,:)) '_' int2str(figunumber) '.*']}];
end
set(hh,'visible','off')
if options_.nograph, close(hh), end
subplotnum = 0;
end
end% loop over selected endo_var
......
matlab/dyn_saveas.m
View file @ 4c255cf2
......@@ -30,17 +30,14 @@ function dyn_saveas(h,fname,DynareOptions)
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
if strmatch('eps',DynareOptions.graph_format)
if find(strcmp('eps',DynareOptions.graph_format))
eval(['print -depsc2 ' fname '.eps']);
end
if ~exist('OCTAVE_VERSION')
if strmatch('pdf',DynareOptions.graph_format)
if find(strcmp('pdf',DynareOptions.graph_format))
eval(['print -dpdf ' fname]);
end
if strmatch('fig',DynareOptions.graph_format)
if DynareOptions.nodisplay
set(h, 'Visible','on');
end
if find(strcmp('fig',DynareOptions.graph_format))
saveas(h,[fname '.fig']);
end
end
......
matlab/dynare_estimation.m
View file @ 4c255cf2
......@@ -112,7 +112,7 @@ if nnobs > 1 && horizon > 0
m = 1;
for i = 1:size(var_list,1)
if mod(i,nstar) == 1
hfig = figure('Name','Out of sample forecasts');
hfig = dyn_figure(options_,'Name','Out of sample forecasts');
m = 1;
end
subplot(nr,nc,m)
......
matlab/dynare_identification.m
View file @ 4c255cf2
......@@ -264,7 +264,7 @@ if iload <=0,
% normLRE = max(abs(siLRE)')';
save([IdentifDirectoryName '/' M_.fname '_identif.mat'], 'idehess_point', 'idemoments_point','idemodel_point', 'idelre_point','store_options_ident')
disp_identification(params, idemodel_point, idemoments_point, name);
plot_identification(params,idemoments_point,idehess_point,idemodel_point,idelre_point,advanced,parameters,name,IdentifDirectoryName,1);
plot_identification(params,idemoments_point,idehess_point,idemodel_point,idelre_point,advanced,parameters,name,IdentifDirectoryName);
if SampleSize > 1,
disp(' ')
......@@ -437,13 +437,13 @@ end
if iload,
disp(['Testing ',parameters])
disp_identification(idehess_point.params, idemodel_point, idemoments_point, name);
plot_identification(idehess_point.params,idemoments_point,idehess_point,idemodel_point,idelre_point,advanced,parameters,name,IdentifDirectoryName,1);
plot_identification(idehess_point.params,idemoments_point,idehess_point,idemodel_point,idelre_point,advanced,parameters,name,IdentifDirectoryName);
end
if SampleSize > 1,
fprintf('\n')
disp('Testing MC sample')
disp_identification(pdraws, idemodel, idemoments, name);
plot_identification(pdraws,idemoments,idehess_point,idemodel,idelre,advanced,'MC sample - ',name, IdentifDirectoryName, 1);
plot_identification(pdraws,idemoments,idehess_point,idemodel,idelre,advanced,'MC sample - ',name, IdentifDirectoryName);
if advanced,
jcrit=find(idemoments.ino);
if length(jcrit)<SampleSize,
......@@ -460,7 +460,7 @@ if SampleSize > 1,
end
disp_identification(pdraws(jmax,:), idemodel_max, idemoments_max, name);
close all,
plot_identification(pdraws(jmax,:),idemoments_max,idehess_max,idemodel_max,idelre_max,1,tittxt,name,IdentifDirectoryName,1);
plot_identification(pdraws(jmax,:),idemoments_max,idehess_max,idemodel_max,idelre_max,1,tittxt,name,IdentifDirectoryName);
[dum,jmin]=min(idemoments.cond);
fprintf('\n')
tittxt = 'Draw with SMALLEST condition number';
......@@ -473,7 +473,7 @@ if SampleSize > 1,
end
disp_identification(pdraws(jmin,:), idemodel_min, idemoments_min, name);
close all,
plot_identification(pdraws(jmin,:),idemoments_min,idehess_min,idemodel_min,idelre_min,1,tittxt,name,IdentifDirectoryName,1);
plot_identification(pdraws(jmin,:),idemoments_min,idehess_min,idemodel_min,idelre_min,1,tittxt,name,IdentifDirectoryName);
else
for j=1:length(jcrit),
tittxt = ['Rank deficient draw n. ',int2str(j)];
......@@ -485,7 +485,7 @@ if SampleSize > 1,
end
disp_identification(pdraws(jcrit(j),:), idemodel_(j), idemoments_(j), name);
close all,
plot_identification(pdraws(jcrit(j),:),idemoments_(j),idehess_(j),idemodel_(j),idelre_(j),1,tittxt,name,IdentifDirectoryName,1);
plot_identification(pdraws(jcrit(j),:),idemoments_(j),idehess_(j),idemodel_(j),idelre_(j),1,tittxt,name,IdentifDirectoryName);
end
if ~iload,
save([IdentifDirectoryName '/' M_.fname '_identif.mat'], 'idehess_', 'idemoments_','idemodel_', 'idelre_', 'jcrit', '-append');
......
matlab/forecast_graphs.m
View file @ 4c255cf2
......@@ -61,13 +61,13 @@ end
m = 1;
n_fig = 1;
figure('Name','Forecasts (I)')
hh=dyn_figure(options_,'Name','Forecasts (I)');
for j= 1:nvar
if m > nc*nr;
eval(['print -depsc ' fname '/graphs/forcst' int2str(n_fig) ...
'.eps;'])
dyn_saveas(hh,[ fname '/graphs/forcst' int2str(n_fig)],options_);
n_fig =n_fig+1;
eval(['figure(''Name'',''Forecast (' int2str(n_fig) ')'');']);
eval(['hh=dyn_figure(options_,''Name'',''Forecast (' int2str(n_fig) ')'');']);
m = 1;
end
subplot(nr,nc,m);
......@@ -91,5 +91,5 @@ for j= 1:nvar
end
if m > 1
eval(['print -deps ' fname '/graphs/forcst' int2str(n_fig) '.eps;'])
dyn_saveas(hh,[fname '/graphs/forcst' int2str(n_fig)],options_);
end
\ No newline at end of file
matlab/global_initialization.m
View file @ 4c255cf2
......@@ -110,7 +110,7 @@ options_.graphics.ncols = 3;
options_.graphics.line_types = {'b-'};
options_.graphics.line_width = 1;
options_.graph_format = 'eps';
options_.nodisplay = 1;
options_.nodisplay = 0;
options_.nograph = 0;
options_.XTick = [];
options_.XTickLabel = [];
......
matlab/gsa/filt_mc_.m
View file @ 4c255cf2
......@@ -289,7 +289,7 @@ else
for i=1:size(vvarvecm,1),
if mod(i,9)==1,
ifig=ifig+1;
figure('name',['Prior ',int2str(ifig)])
hh=dyn_figure(options_,'name',['Prior ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(lnprior(ixx(1:nfilt0(i),i)));
......@@ -300,34 +300,24 @@ else
title(vvarvecm(i,:),'interpreter','none')
if mod(i,9)==0 | i==size(vvarvecm,1)
if options_.opt_gsa.ppost
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_post_lnprior',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_post_lnprior',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_post_lnprior',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_post_lnprior',int2str(ifig)],options_);
else
if options_.opt_gsa.pprior
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_prior_lnprior',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_prior_lnprior',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_prior_lnprior',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_prior_lnprior',int2str(ifig) ],options_);
else
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_mc_lnprior',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_mc_lnprior',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_mc_lnprior',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_mc_lnprior',int2str(ifig) ],options_);
end
end
close(gcf)
if ~options.nodisplay
close(hh);
end
end
end
ifig=0;
for i=1:size(vvarvecm,1),
if mod(i,9)==1,
ifig=ifig+1;
figure('name',['Likelihood ',int2str(ifig)])
hh = dyn_figure(options_,'Name',['Likelihood ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(likelihood(ixx(1:nfilt0(i),i)));
......@@ -341,34 +331,24 @@ else
end
if mod(i,9)==0 | i==size(vvarvecm,1)
if options_.opt_gsa.ppost
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_post_lnlik',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_post_lnlik',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_post_lnlik',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_post_lnlik',int2str(ifig) ],options_);
else
if options_.opt_gsa.pprior
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_prior_lnlik',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_prior_lnlik',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_prior_lnlik',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_prior_lnlik',int2str(ifig)],options_);
else
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_mc_lnlik',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_mc_lnlik',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_mc_lnlik',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_mc_lnlik',int2str(ifig) ],options_);
end
end
close(gcf)
if ~options.nodisplay
close(hh);
end
end
end
ifig=0;
for i=1:size(vvarvecm,1),
if mod(i,9)==1,
ifig=ifig+1;
figure('name',['Posterior ',int2str(ifig)])
hh = dyn_figure(options_,'Name',['Posterior ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(logpo2(ixx(1:nfilt0(i),i)));
......@@ -382,27 +362,17 @@ else
end
if mod(i,9)==0 | i==size(vvarvecm,1)
if options_.opt_gsa.ppost
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_post_lnpost',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_post_lnpost',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_post_lnpost',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_post_lnpost',int2str(ifig) ],options_);
else
if options_.opt_gsa.pprior
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_prior_lnpost',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_prior_lnpost',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_prior_lnpost',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_prior_lnpost',int2str(ifig)],options_);
else
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_mc_lnpost',int2str(ifig) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_mc_lnpost',int2str(ifig)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_mc_lnpost',int2str(ifig)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_mc_lnpost',int2str(ifig)],options_);
end
end
close(gcf)
if ~options.nodisplay
close(hh);
end
end
end
......@@ -501,7 +471,7 @@ else
% plot trade-offs
a00=jet(size(vvarvecm,1));
for ix=1:ceil(length(nsnam)/5),
figure,
hh = dyn_figure(options_);
for j=1+5*(ix-1):min(size(snam2,1),5*ix),
subplot(2,3,j-5*(ix-1))
%h0=cumplot(x(:,nsnam(j)+nshock));
......@@ -536,24 +506,12 @@ else
%h0=legend({'base',vnam{np}}',0);
%set(findobj(get(h0,'children'),'type','text'),'interpreter','none')
if options_.opt_gsa.ppost
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_post_' int2str(ix) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_post_',num2str(ix)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_post_' int2str(ix)]);
end
dyn_saveas(hh,[ OutDir '/' fname_ '_rmse_post_' int2str(ix)],options_);
else
if options_.opt_gsa.pprior
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_prior_' int2str(ix) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_prior_',num2str(ix)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_prior_' int2str(ix)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_prior_' int2str(ix) ],options_);
else
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_mc_' int2str(ix) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_mc_',num2str(ix)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_mc_' int2str(ix)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_mc_' int2str(ix)],options_);
end
end
end
......@@ -569,7 +527,7 @@ else
%kernel_function = 'uniform'; % Gaussian kernel for Fast Fourrier Transform approximaton.
for ix=1:ceil(length(nsnam)/5),
figure,
hh = dyn_figure(options_);
for j=1+5*(ix-1):min(size(snam2,1),5*ix),
subplot(2,3,j-5*(ix-1))
optimal_bandwidth = mh_optimal_bandwidth(x(:,nsnam(j)),size(x,1),bandwidth,kernel_function);
......@@ -607,29 +565,16 @@ else
%h0=legend({'base',vnam{np}}',0);
%set(findobj(get(h0,'children'),'type','text'),'interpreter','none')
if options_.opt_gsa.ppost
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_post_dens_' int2str(ix) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_post_dens_',num2str(ix)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_post_dens_' int2str(ix)]);
end
dyn_saveas(hh,[ OutDir '/' fname_ '_rmse_post_dens_' int2str(ix) ],options_);
else
if options_.opt_gsa.pprior
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_prior_dens_' int2str(ix) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_prior_dens_',num2str(ix)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_prior_dens_' int2str(ix)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_prior_dens_' int2str(ix)],options_);
else
eval(['print -depsc2 ' OutDir '/' fname_ '_rmse_mc_dens_' int2str(ix) '.eps']);
if ~exist('OCTAVE_VERSION'),
saveas(gcf,[OutDir,'/',fname_,'_rmse_mc_dens_',num2str(ix)])
eval(['print -dpdf ' OutDir '/' fname_ '_rmse_mc_dens_' int2str(ix)]);
end
dyn_saveas(hh,[OutDir '/' fname_ '_rmse_mc_dens_' int2str(ix) ],options_);
end
end
end
close all
% for j=1:size(SP,2),
% nfig=0;
% np=find(SP(:,j));
......
matlab/gsa/map_ident_.m
View file @ 4c255cf2
......@@ -77,7 +77,7 @@ if opt_gsa.load_ident_files==0,
ifig=0;
for j=1:M_.exo_nbr,
if mod(j,6)==1
figure('name',['Variance decomposition shocks']);
hh=dyn_figure(options_,'name',['Variance decomposition shocks']);
ifig=ifig+1;
iplo=0;
end
......@@ -95,10 +95,10 @@ if opt_gsa.load_ident_files==0,
ylabel(' ')
title(M_.exo_names(j,:),'interpreter','none')
if mod(j,6)==0 | j==M_.exo_nbr,
saveas(gcf,[OutputDirectoryName,'/',fname_,'_vdec_exo_',int2str(ifig)])
eval(['print -depsc2 ' OutputDirectoryName '/' fname_ '_vdec_exo_',int2str(ifig)]);
eval(['print -dpdf ' OutputDirectoryName '/' fname_ '_vdec_exo_',int2str(ifig)]);
close(gcf),
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_vdec_exo_',int2str(ifig)],options_);
if ~options.nodisplay
close(hh);
end
end
end
end
......@@ -204,7 +204,7 @@ if opt_gsa.morris==1,
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'SAvdec','vdec','ir_vdec','ic_vdec')
end
figure,
hh = dyn_figure(options_);
% boxplot(SAvdec,'whis',10,'symbol','r.')
myboxplot(SAvdec,[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
......@@ -217,10 +217,10 @@ if opt_gsa.morris==1,
end
xlabel(' ')
title('All variance decomposition')
saveas(gcf,[OutputDirectoryName,'/',fname_,'_morris_vdec'])
eval(['print -depsc2 ' OutputDirectoryName '/' fname_ '_morris_vdec']);
eval(['print -dpdf ' OutputDirectoryName '/' fname_ '_morris_vdec']);
close(gcf)
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morris_vdec'],options_);
if ~options.nodisplay
close(hh);
end
else
save([OutputDirectoryName,'/',fname_,'_morris_IDE'],'vdec')
......@@ -312,7 +312,7 @@ if opt_gsa.morris==1,
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'ac','ir_ac','ic_ac')
end
figure,
hh=dyn_figure(options_);
% boxplot(SAcc,'whis',10,'symbol','r.')
myboxplot(SAcc,[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
......@@ -325,9 +325,7 @@ if opt_gsa.morris==1,
end
xlabel(' ')
title('EET All moments')
saveas(gcf,[OutputDirectoryName,'/',fname_,'_morris_moments'])
eval(['print -depsc2 ' OutputDirectoryName '/' fname_ '_morris_moments']);
eval(['print -dpdf ' OutputDirectoryName '/' fname_ '_morris_moments']);
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morris_moments'],options_);
% close(gcf),
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
......@@ -709,7 +707,7 @@ if opt_gsa.morris==1,
else
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'SAnorm','SAmunorm','SAsignorm')
end
figure, %bar(SAnorm(:,irel))
hh=dyn_figure(options_); %bar(SAnorm(:,irel))
% boxplot(SAnorm','whis',10,'symbol','r.')
myboxplot(SAnorm',[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
......@@ -723,11 +721,9 @@ if opt_gsa.morris==1,
end
xlabel(' ')
title('Elementary effects in the model')
saveas(gcf,[OutputDirectoryName,'/',fname_,'_morris_par'])
eval(['print -depsc2 ' OutputDirectoryName '/' fname_ '_morris_par']);
eval(['print -dpdf ' OutputDirectoryName '/' fname_ '_morris_par']);
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morris_par'],options_);
figure, %bar(SAmunorm(:,irel))
hh=dyn_figure(options_); %bar(SAmunorm(:,irel))
% boxplot(SAmunorm','whis',10,'symbol','r.')
myboxplot(SAmunorm',[],'.',[],10)