diff --git a/matlab/PlotPosteriorDistributions.m b/matlab/PlotPosteriorDistributions.m
index 2ae1837931c318e5fb766be59abb3d0b7bf3e5c5..234b180386cffabd199fd94076f1ab2558272d47 100644
--- a/matlab/PlotPosteriorDistributions.m
+++ b/matlab/PlotPosteriorDistributions.m
@@ -16,7 +16,7 @@ function oo_ = PlotPosteriorDistributions(estim_params_, M_, options_, bayestopt
% SPECIAL REQUIREMENTS
% none
-% Copyright (C) 2005-2016 Dynare Team
+% Copyright (C) 2005-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -63,7 +63,7 @@ for i=1:npar
subplotnum = subplotnum+1;
if subplotnum == 1
figunumber = figunumber+1;
- hfig=dyn_figure(options_,'Name',figurename);
+ hfig=dyn_figure(options_.nodisplay,'Name',figurename);
end
[nam,texnam] = get_the_name(i,TeX,M_,estim_params_,options_);
if subplotnum == 1
diff --git a/matlab/PosteriorIRF_core2.m b/matlab/PosteriorIRF_core2.m
index 295f6d5eb9c17e80d6406632a08b1ddce4de7298..c4491f63193d7703214669649cee21bda32fe9d6 100644
--- a/matlab/PosteriorIRF_core2.m
+++ b/matlab/PosteriorIRF_core2.m
@@ -30,7 +30,7 @@ function myoutput=PosteriorIRF_core2(myinputs,fpar,npar,whoiam,ThisMatlab)
% SPECIAL REQUIREMENTS.
% None.
%
-% Copyright (C) 2006-2016 Dynare Team
+% Copyright (C) 2006-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -103,9 +103,9 @@ for i=fpar:npar,
if max(abs(MeanIRF(:,j,i))) >= options_.impulse_responses.plot_threshold
subplotnum = subplotnum+1;
if subplotnum == 1 && options_.relative_irf
- hh = dyn_figure(options_,'Name',['Relative response to orthogonalized shock to ' tit(i,:)]);
+ hh = dyn_figure(options_.nodisplay,'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,:)]);
+ hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit(i,:)]);
end
set(0,'CurrentFigure',hh)
diff --git a/matlab/UnivariateSpectralDensity.m b/matlab/UnivariateSpectralDensity.m
index fa0a9e22c4aa1e939f9a28f3ec02b9bc90e973b2..7152151b62042090c85a5a47f6988f54c051c109 100644
--- a/matlab/UnivariateSpectralDensity.m
+++ b/matlab/UnivariateSpectralDensity.m
@@ -19,7 +19,7 @@ function [oo_] = UnivariateSpectralDensity(M_,oo_,options_,var_list)
% Adapted from th_autocovariances.m.
-% Copyright (C) 2006-2015 Dynare Team
+% Copyright (C) 2006-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -159,7 +159,7 @@ if options_.nograph == 0
end
for i= 1:nvar
- hh = dyn_figure(options_,'Name',['Spectral Density of ' deblank(M_.endo_names(ivar(i),:)) '.']);
+ hh = dyn_figure(options_.nodisplay,'Name',['Spectral Density of ' deblank(M_.endo_names(ivar(i),:)) '.']);
plot(freqs,f(i,:),'-k','linewidth',2)
xlabel('0 \leq \omega \leq \pi')
ylabel('f(\omega)')
diff --git a/matlab/convergence_diagnostics/McMCDiagnostics.m b/matlab/convergence_diagnostics/McMCDiagnostics.m
index fb4f4126281e8ef2d3d804a149a0a7b8172da67a..4e0b669d18a3b056709531bcbde5f61f9cb6cc6b 100644
--- a/matlab/convergence_diagnostics/McMCDiagnostics.m
+++ b/matlab/convergence_diagnostics/McMCDiagnostics.m
@@ -16,7 +16,7 @@ function oo_ = McMCDiagnostics(options_, estim_params_, M_, oo_)
% PARALLEL CONTEXT
% See the comment in posterior_sampler.m funtion.
-% Copyright (C) 2005-2016 Dynare Team
+% Copyright (C) 2005-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -287,7 +287,7 @@ clear pmet temp moyenne CSUP CINF csup cinf n linea iter tmp;
pages = floor(npar/3);
k = 0;
for i = 1:pages
- h=dyn_figure(options_,'Name','MCMC univariate convergence diagnostic (Brooks and Gelman,1998)');
+ h=dyn_figure(options_.nodisplay,'Name','MCMC univariate convergence diagnostic (Brooks and Gelman,1998)');
boxplot = 1;
for j = 1:3 % Loop over parameters
k = k+1;
@@ -350,7 +350,7 @@ if reste
nr = 2;
nc = 3;
end
- h = dyn_figure(options_,'Name','MCMC univariate convergence diagnostic (Brooks and Gelman, 1998)');
+ h = dyn_figure(options_.nodisplay,'Name','MCMC univariate convergence diagnostic (Brooks and Gelman, 1998)');
boxplot = 1;
for j = 1:reste
k = k+1;
@@ -461,7 +461,7 @@ for iter = Origin:StepSize:NumberOfDraws
end
MDIAG(:,[2 4 6],:) = MDIAG(:,[2 4 6],:)/nblck;
-h = dyn_figure(options_,'Name','Multivariate convergence diagnostic');
+h = dyn_figure(options_.nodisplay,'Name','Multivariate convergence diagnostic');
boxplot = 1;
for crit = 1:3
if crit == 1
diff --git a/matlab/dyn_figure.m b/matlab/dyn_figure.m
index f26a3934560482ea8fb47649811f55f54e3b9149..62182a291bb3d5dbd78da263a8ad149c8f852c0d 100644
--- a/matlab/dyn_figure.m
+++ b/matlab/dyn_figure.m
@@ -1,9 +1,9 @@
-function h=dyn_figure(DynareOptions,varargin)
-%function h=dyn_figure(DynareOptions,varargin)
+function h = dyn_figure(nodisplay, varargin)
+%function h = dyn_figure(nodisplay, varargin)
% initializes figures for DYNARE
%
% INPUTS
-% DynareOptions: dynare options
+% nodisplay: the value of the command-specific nodisplay argument or options_.nodisplay
% varargin: the same list of possible inputs of the MATLAB function figure
%
% OUTPUTS
@@ -12,7 +12,7 @@ function h=dyn_figure(DynareOptions,varargin)
% SPECIAL REQUIREMENTS
% none
-% Copyright (C) 2012 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -29,7 +29,7 @@ function h=dyn_figure(DynareOptions,varargin)
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
-if DynareOptions.nodisplay,
+if nodisplay
h = figure(varargin{:},'visible','off');
else
h = figure(varargin{:});
diff --git a/matlab/dynare_estimation.m b/matlab/dynare_estimation.m
index 56221affe70fdb77a682ac88f6b1b666896bac84..94e6774fc17f37065ad17c014060c5e82399948f 100644
--- a/matlab/dynare_estimation.m
+++ b/matlab/dynare_estimation.m
@@ -12,7 +12,7 @@ function oo_recursive_=dynare_estimation(var_list,dname)
% SPECIAL REQUIREMENTS
% none
-% Copyright (C) 2003-2015 Dynare Team
+% Copyright (C) 2003-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -151,7 +151,7 @@ if nnobs > 1 && horizon > 0
for i = 1:size(var_list,1)
if mod(i,nstar) == 1
plot_index=plot_index+1;
- hfig = dyn_figure(options_,'Name',['Out of sample forecasts (',num2str(plot_index),')']);
+ hfig = dyn_figure(options_.nodisplay,'Name',['Out of sample forecasts (',num2str(plot_index),')']);
m = 1;
end
subplot(nr,nc,m)
diff --git a/matlab/dynare_estimation_1.m b/matlab/dynare_estimation_1.m
index 6693768cec75be1c325076369296764014a39310..b74ce455926d697d60edfcf7ebbd7492eb03ecf6 100644
--- a/matlab/dynare_estimation_1.m
+++ b/matlab/dynare_estimation_1.m
@@ -12,7 +12,7 @@ function dynare_estimation_1(var_list_,dname)
% SPECIAL REQUIREMENTS
% none
-% Copyright (C) 2003-2016 Dynare Team
+% Copyright (C) 2003-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -542,7 +542,7 @@ if (~((any(bayestopt_.pshape > 0) && options_.mh_replic) || (any(bayestopt_.psha
fprintf(fidTeX,' \n');
end
for plt = 1:nbplt,
- fh = dyn_figure(options_,'Name','Smoothed shocks');
+ fh = dyn_figure(options_.nodisplay,'Name','Smoothed shocks');
NAMES = [];
if options_.TeX, TeXNAMES = []; end
nstar0=min(nstar,M_.exo_nbr-(plt-1)*nstar);
@@ -621,7 +621,7 @@ if (~((any(bayestopt_.pshape > 0) && options_.mh_replic) || (any(bayestopt_.psha
fprintf(fidTeX,' \n');
end
for plt = 1:nbplt
- fh = dyn_figure(options_,'Name','Smoothed observation errors');
+ fh = dyn_figure(options_.nodisplay,'Name','Smoothed observation errors');
NAMES = [];
if options_.TeX, TeXNAMES = []; end
nstar0=min(nstar,number_of_plots_to_draw-(nbplt-1)*nstar);
@@ -696,7 +696,7 @@ if (~((any(bayestopt_.pshape > 0) && options_.mh_replic) || (any(bayestopt_.psha
fprintf(fidTeX,' \n');
end
for plt = 1:nbplt,
- fh = dyn_figure(options_,'Name','Historical and smoothed variables');
+ fh = dyn_figure(options_.nodisplay,'Name','Historical and smoothed variables');
NAMES = [];
if options_.TeX, TeXNAMES = []; end
nstar0=min(nstar,n_varobs-(plt-1)*nstar);
diff --git a/matlab/dynare_graph_init.m b/matlab/dynare_graph_init.m
index 4e0af5b8c9d9211e8a86fffad59cf1ecdad81aa7..0783a4029add1e37533be7344686c8a424cda6d8 100644
--- a/matlab/dynare_graph_init.m
+++ b/matlab/dynare_graph_init.m
@@ -12,7 +12,7 @@ function dyn_graph=dynare_graph_init(figure_name,nplot,line_types,line_width)
% SPECIAL REQUIREMENT
% none
-% Copyright (C) 2006-2013 Dynare Team
+% Copyright (C) 2006-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -31,7 +31,7 @@ function dyn_graph=dynare_graph_init(figure_name,nplot,line_types,line_width)
global options_
-dyn_graph.fh = dyn_figure(options_,'Name',figure_name);
+dyn_graph.fh = dyn_figure(options_.nodisplay,'Name',figure_name);
dyn_graph.figure_name = figure_name;
if nargin > 2
dyn_graph.line_types = line_types;
diff --git a/matlab/forecast_graphs.m b/matlab/forecast_graphs.m
index be6f49399145e4041387784e8c8e6986bdc00009..8c444d887127a0f0b9ba6cf80b938a6ab4b776eb 100644
--- a/matlab/forecast_graphs.m
+++ b/matlab/forecast_graphs.m
@@ -8,7 +8,7 @@ function forecast_graphs(var_list,M_, oo_,options_)
% o oo_ outputs structure
% o options_ options structure
-% Copyright (C) 2008-2016 Dynare Team
+% Copyright (C) 2008-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -61,7 +61,7 @@ end
m = 1;
n_fig = 1;
-hh=dyn_figure(options_,'Name','Forecasts (I)');
+hh=dyn_figure(options_.nodisplay,'Name','Forecasts (I)');
for j= 1:nvar
if m > nc*nr;
dyn_saveas(hh,[ dname '/graphs/forcst' int2str(n_fig)],options_);
@@ -75,7 +75,7 @@ for j= 1:nvar
fprintf(fidTeX,' \n');
end
n_fig =n_fig+1;
- eval(['hh=dyn_figure(options_,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
+ eval(['hh=dyn_figure(options_.nodisplay,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
m = 1;
end
subplot(nr,nc,m);
@@ -125,7 +125,7 @@ if isfield(oo_.forecast,'HPDinf_ME')
m = 1;
n_fig = 1;
- hh=dyn_figure(options_,'Name','Forecasts including ME (I)');
+ hh=dyn_figure(options_.nodisplay,'Name','Forecasts including ME (I)');
for j= 1:length(var_names)
if m > nc*nr;
dyn_saveas(hh,[ dname '/graphs/forcst_ME' int2str(n_fig)],options_);
@@ -139,7 +139,7 @@ if isfield(oo_.forecast,'HPDinf_ME')
fprintf(fidTeX,' \n');
end
n_fig =n_fig+1;
- eval(['hh=dyn_figure(options_,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
+ eval(['hh=dyn_figure(options_.nodisplay,''Name'',''Forecasts (' int2str(n_fig) ')'');']);
m = 1;
end
subplot(nr,nc,m);
diff --git a/matlab/graph_decomp.m b/matlab/graph_decomp.m
index 7740a07a9b332d6edb610f3f3326eaec4ea6b0e4..2e3c8000cd83a343163c42881ad7eb9a5ff94724 100644
--- a/matlab/graph_decomp.m
+++ b/matlab/graph_decomp.m
@@ -11,7 +11,7 @@ function []=graph_decomp(z,shock_names,endo_names,i_var,initial_date,DynareModel
% DynareModel [structure] Dynare model structure
% DynareOptions [structure] Dynare options structure
-% Copyright (C) 2010-2016 Dynare Team
+% Copyright (C) 2010-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -128,7 +128,7 @@ for j=1:nvar
if ymax-ymin < 1e-6
continue
end
- fhandle = dyn_figure(DynareOptions,'Name',[preamble_txt fig_names_long strrep(fig_mode1, '_', ' ') ': ' deblank(endo_names(i_var(j),:)) '.'], 'PaperPositionMode', 'auto','PaperOrientation','landscape','renderermode','auto');
+ fhandle = dyn_figure(DynareOptions.nodisplay,'Name',[preamble_txt fig_names_long strrep(fig_mode1, '_', ' ') ': ' deblank(endo_names(i_var(j),:)) '.'], 'PaperPositionMode', 'auto','PaperOrientation','landscape','renderermode','auto');
set(fhandle,'position' ,[50 50 1500 750])
ax=axes('Position',[0.1 0.1 0.6 0.8],'box','on');
% plot(ax,x(2:end),z1(end,:),'k-','LineWidth',2)
diff --git a/matlab/graph_decomp_detail.m b/matlab/graph_decomp_detail.m
index 931cb64a258379f55112bb42656dc870d802132b..759f7e72b79251b4c4d429cb999df5bfce41bed4 100644
--- a/matlab/graph_decomp_detail.m
+++ b/matlab/graph_decomp_detail.m
@@ -11,7 +11,7 @@ function []=graph_decomp_detail(z,shock_names,endo_names,i_var,initial_date,Dyna
% DynareModel [structure] Dynare model structure
% DynareOptions [structure] Dynare options structure
-% Copyright (C) 2010-2016 Dynare Team
+% Copyright (C) 2010-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -151,7 +151,7 @@ for j=1:nvar
continue
end
for jf = 1:nfigs
- fhandle = dyn_figure(DynareOptions,'Name',[preamble_txt fig_names_long strrep(fig_mode1, '_', ' ') ': ' deblank(endo_names(i_var(j),:)) ' (detail).'],'position',[200 100 650 850], 'PaperPositionMode', 'auto','PaperOrientation','portrait','renderermode','auto');
+ fhandle = dyn_figure(DynareOptions.nodisplay,'Name',[preamble_txt fig_names_long strrep(fig_mode1, '_', ' ') ': ' deblank(endo_names(i_var(j),:)) ' (detail).'],'position',[200 100 650 850], 'PaperPositionMode', 'auto','PaperOrientation','portrait','renderermode','auto');
a0=zeros(1,4);
a0(3)=inf;
a0(4)=-inf;
diff --git a/matlab/gsa/filt_mc_.m b/matlab/gsa/filt_mc_.m
index 06f717e0e2dc998fc2278b770971ec2d80fc218f..9fdde4e9b556f9fdc51c7934e04c19388a673558 100644
--- a/matlab/gsa/filt_mc_.m
+++ b/matlab/gsa/filt_mc_.m
@@ -14,7 +14,7 @@ function [rmse_MC, ixx] = filt_mc_(OutDir,options_gsa_,dataset_,dataset_info)
% marco.ratto@ec.europa.eu
% Copyright (C) 2012-2016 European Commission
-% Copyright (C) 2012-2016 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -407,7 +407,7 @@ else
end
if mod(i,9)==1,
ifig=ifig+1;
- hh=dyn_figure(options_,'name',[temp_name,' ',int2str(ifig)]);
+ hh=dyn_figure(options_.nodisplay,'name',[temp_name,' ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(lnprior(ixx(1:nfilt0(i),i)));
@@ -455,7 +455,7 @@ else
end
if mod(i,9)==1,
ifig=ifig+1;
- hh = dyn_figure(options_,'Name',[temp_name,' ',int2str(ifig)]);
+ hh = dyn_figure(options_.nodisplay,'Name',[temp_name,' ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(likelihood(ixx(1:nfilt0(i),i)));
@@ -506,7 +506,7 @@ else
end
if mod(i,9)==1,
ifig=ifig+1;
- hh = dyn_figure(options_,'Name',[temp_name,' ',int2str(ifig)]);
+ hh = dyn_figure(options_.nodisplay,'Name',[temp_name,' ',int2str(ifig)]);
end
subplot(3,3,i-9*(ifig-1))
h=cumplot(logpo2(ixx(1:nfilt0(i),i)));
@@ -794,7 +794,7 @@ else
for iy=1:size(vvarvecm,1),
ipar = find(any(squeeze(PPV(iy,:,:))<alpha));
for ix=1:ceil(length(ipar)/5),
- hh = dyn_figure(options_,'name',[temp_name,' observed variable ',deblank(vvarvecm(iy,:))]);
+ hh = dyn_figure(options_.nodisplay,'name',[temp_name,' observed variable ',deblank(vvarvecm(iy,:))]);
for j=1+5*(ix-1):min(length(ipar),5*ix),
subplot(2,3,j-5*(ix-1))
%h0=cumplot(x(:,nsnam(j)+nshock));
@@ -859,7 +859,7 @@ else
% now I plot by individual parameters
for ix=1:ceil(length(nsnam)/5),
- hh = dyn_figure(options_,'name',[temp_name,' estimated params and shocks ',int2str(ix)]);
+ hh = dyn_figure(options_.nodisplay,'name',[temp_name,' estimated params and shocks ',int2str(ix)]);
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));
diff --git a/matlab/gsa/map_calibration.m b/matlab/gsa/map_calibration.m
index d7dea5b5c850c0690e5511b38284ca197193ec06..26bc505910e0ce2fbf20eddaf4d93ccb833a7504 100644
--- a/matlab/gsa/map_calibration.m
+++ b/matlab/gsa/map_calibration.m
@@ -5,7 +5,7 @@ function map_calibration(OutputDirectoryName, Model, DynareOptions, DynareResult
% marco.ratto@ec.europa.eu
% Copyright (C) 2014-2016 European Commission
-% Copyright (C) 2014-2016 Dynare Team
+% Copyright (C) 2014-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -191,7 +191,7 @@ if ~isempty(indx_irf),
indx_irf = indx_irf(irestrictions,:);
if ~DynareOptions.nograph,
- h1=dyn_figure(DynareOptions,'name',[type ' evaluation of irf restrictions']);
+ h1=dyn_figure(DynareOptions.nodisplay,'name',[type ' evaluation of irf restrictions']);
nrow=ceil(sqrt(nbr_irf_couples));
ncol=nrow;
if nrow*(nrow-1)>nbr_irf_couples,
@@ -405,7 +405,7 @@ if ~isempty(indx_moment)
indx_moment = indx_moment(irestrictions,:);
if ~DynareOptions.nograph,
- h2=dyn_figure(DynareOptions,'name',[type ' evaluation of moment restrictions']);
+ h2=dyn_figure(DynareOptions.nodisplay,'name',[type ' evaluation of moment restrictions']);
nrow=ceil(sqrt(nbr_moment_couples));
ncol=nrow;
if nrow*(nrow-1)>nbr_moment_couples,
diff --git a/matlab/gsa/map_ident_.m b/matlab/gsa/map_ident_.m
index 7dc3873dbf2d12997adccbc29c34589e505fe90b..af7c53f7cb7c9da4f7f7bf607918c8786a1831db 100644
--- a/matlab/gsa/map_ident_.m
+++ b/matlab/gsa/map_ident_.m
@@ -5,7 +5,7 @@ function map_ident_(OutputDirectoryName,opt_gsa)
% marco.ratto@ec.europa.eu
% Copyright (C) 2012-2016 European Commission
-% Copyright (C) 2012-2016 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -90,7 +90,7 @@ if opt_gsa.load_ident_files==0,
ifig=0;
for j=1:M_.exo_nbr,
if mod(j,6)==1
- hh=dyn_figure(options_,'name',['Variance decomposition shocks']);
+ hh=dyn_figure(options_.nodisplay,'name',['Variance decomposition shocks']);
ifig=ifig+1;
iplo=0;
end
@@ -219,7 +219,7 @@ if opt_gsa.morris==1,
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'SAvdec','vdec','ir_vdec','ic_vdec')
end
- hh = dyn_figure(options_,'name','Screening identification: variance decomposition');
+ hh = dyn_figure(options_.nodisplay,'name','Screening identification: variance decomposition');
% boxplot(SAvdec,'whis',10,'symbol','r.')
myboxplot(SAvdec,[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@@ -325,7 +325,7 @@ if opt_gsa.morris==1,
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'ac','ir_ac','ic_ac')
end
- hh=dyn_figure(options_,'name','Screening identification: theoretical moments');
+ hh=dyn_figure(options_.nodisplay,'name','Screening identification: theoretical moments');
% boxplot(SAcc,'whis',10,'symbol','r.')
myboxplot(SAcc,[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@@ -722,7 +722,7 @@ if opt_gsa.morris==1,
else
load([OutputDirectoryName,'/',fname_,'_morris_IDE'],'SAnorm','SAmunorm','SAsignorm')
end
- hh=dyn_figure(options_,'name','Screening identification: model'); %bar(SAnorm(:,irel))
+ hh=dyn_figure(options_.nodisplay,'name','Screening identification: model'); %bar(SAnorm(:,irel))
% boxplot(SAnorm','whis',10,'symbol','r.')
myboxplot(SAnorm',[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@@ -739,7 +739,7 @@ if opt_gsa.morris==1,
dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morris_par'],options_);
create_TeX_loader(options_,[OutputDirectoryName,'/',fname_,'_morris_par'],1,'Screening identification: model','morris_par',1)
-% hh=dyn_figure(options_); %bar(SAmunorm(:,irel))
+% hh=dyn_figure(options_.nodisplay); %bar(SAmunorm(:,irel))
% % boxplot(SAmunorm','whis',10,'symbol','r.')
% myboxplot(SAmunorm',[],'.',[],10)
% set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@@ -754,7 +754,7 @@ if opt_gsa.morris==1,
% title('\mu in the model')
% dyn_saveas(hh,[OutputDirectoryName,'/',fname_,'_morrismu_par'],options_);
%
-% hh=dyn_figure(options_); %bar(SAsignorm(:,irel))
+% hh=dyn_figure(options_.nodisplay); %bar(SAsignorm(:,irel))
% % boxplot(SAsignorm','whis',10,'symbol','r.')
% myboxplot(SAsignorm',[],'.',[],10)
% set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
@@ -1522,7 +1522,7 @@ else, % main effects analysis
% SAmeanexo=mean(SAmomN(:,1:nshock));
% figure, bar(latent'*SAcc),
- hh=dyn_figure(options_,'Name',['Identifiability indices in the ',fsuffix,' moments.']);
+ hh=dyn_figure(options_.nodisplay,'Name',['Identifiability indices in the ',fsuffix,' moments.']);
bar(sum(SAcc)),
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:npT])
set(gca,'xlim',[0.5 npT+0.5])
diff --git a/matlab/gsa/redform_map.m b/matlab/gsa/redform_map.m
index 4b1ceeb554356030cf452c60fa6d92d272b80169..3b4534a5b306459738732c982dd67088c9da7884 100644
--- a/matlab/gsa/redform_map.m
+++ b/matlab/gsa/redform_map.m
@@ -16,7 +16,7 @@ function redform_map(dirname,options_gsa_)
% marco.ratto@ec.europa.eu
% Copyright (C) 2012-2016 European Commission
-% Copyright (C) 2012-2016 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -165,7 +165,7 @@ for j=1:size(anamendo,1)
if (max(y0)-min(y0))>1.e-10,
if mod(iplo,9)==0 && isempty(threshold) && ~options_.nograph,
ifig=ifig+1;
- hfig = dyn_figure(options_,'name',['Reduced Form Mapping: ', namendo,' vs shocks ',int2str(ifig)]);
+ hfig = dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping: ', namendo,' vs shocks ',int2str(ifig)]);
iplo=0;
end
iplo=iplo+1;
@@ -193,7 +193,7 @@ for j=1:size(anamendo,1)
mkdir(xdir)
end
if ~options_.nograph,
- hf=dyn_figure(options_,'name',['Reduced Form Mapping (Monte Carlo Filtering): ',namendo,' vs ', namexo]);
+ hf=dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping (Monte Carlo Filtering): ',namendo,' vs ', namexo]);
hc = cumplot(y0);
a=axis; delete(hc);
% hist(mat_moment{ij}),
@@ -301,7 +301,7 @@ for j=1:size(anamendo,1)
if (max(y0)-min(y0))>1.e-10,
if mod(iplo,9)==0 && isempty(threshold) && ~options_.nograph,
ifig=ifig+1;
- hfig = dyn_figure(options_,'name',['Reduced Form Mapping: ' namendo,' vs lags ',int2str(ifig)]);
+ hfig = dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping: ' namendo,' vs lags ',int2str(ifig)]);
iplo=0;
end
iplo=iplo+1;
@@ -329,7 +329,7 @@ for j=1:size(anamendo,1)
mkdir(xdir)
end
if ~options_.nograph,
- hf=dyn_figure(options_,'name',['Reduced Form Mapping (Monte Carlo Filtering): ',namendo,' vs lagged ', namlagendo]);
+ hf=dyn_figure(options_.nodisplay,'name',['Reduced Form Mapping (Monte Carlo Filtering): ',namendo,' vs lagged ', namlagendo]);
hc = cumplot(y0);
a=axis; delete(hc);
% hist(mat_moment{ij}),
@@ -428,7 +428,7 @@ end
if isempty(threshold) && ~options_.nograph,
if ilog==0,
- hfig=dyn_figure(options_,'name','Reduced Form GSA'); %bar(si)
+ hfig=dyn_figure(options_.nodisplay,'name','Reduced Form GSA'); %bar(si)
% boxplot(si','whis',10,'symbol','r.')
myboxplot(si',[],'.',[],10)
xlabel(' ')
@@ -444,7 +444,7 @@ if isempty(threshold) && ~options_.nograph,
create_TeX_loader(options_,[dirname,filesep,M_.fname,'_redform_gsa'],'Reduced Form GSA','redform_gsa')
else
- hfig=dyn_figure(options_,'name','Reduced Form GSA'); %bar(silog)
+ hfig=dyn_figure(options_.nodisplay,'name','Reduced Form GSA'); %bar(silog)
% boxplot(silog','whis',10,'symbol','r.')
myboxplot(silog',[],'.',[],10)
set(gca,'xticklabel',' ','fontsize',10,'xtick',[1:np])
@@ -522,7 +522,7 @@ if iload==0,
y1 = log(y0*isig+lam);
end
if ~options_.nograph,
- hfig=dyn_figure(options_,'name',options_map.figtitle);
+ hfig=dyn_figure(options_.nodisplay,'name',options_map.figtitle);
subplot(221)
if ilog,
hist(y1,30),
@@ -647,7 +647,7 @@ else
load([fname,'_map.mat'],'gsa_')
if ~options_.nograph,
yf = ss_anova_fcast(x0, gsa_);
- hfig=dyn_figure(options_,'name',options_map.title);
+ hfig=dyn_figure(options_.nodisplay,'name',options_map.title);
plot(y0,[yf y0],'.'),
title([namy,' vs ', namx,' pred'],'interpreter','none')
dyn_saveas(hfig,[fname '_pred'],options_);
@@ -724,7 +724,7 @@ return
function indmcf = redform_mcf(y0, x0, options_mcf, options_)
-hfig=dyn_figure(options_,'name',options_mcf.amcf_title);
+hfig=dyn_figure(options_.nodisplay,'name',options_mcf.amcf_title);
[post_mean, post_median, post_var, hpd_interval, post_deciles, ...
density] = posterior_moments(y0,1,0.9);
diff --git a/matlab/gsa/redform_screen.m b/matlab/gsa/redform_screen.m
index ae1d8df741265f72a4fafc79b063aaf55fe224ad..96773cdffd1b70e38f39d0ff978a661ba8ca4998 100644
--- a/matlab/gsa/redform_screen.m
+++ b/matlab/gsa/redform_screen.m
@@ -11,7 +11,7 @@ function redform_screen(dirname, options_gsa_)
% marco.ratto@ec.europa.eu
% Copyright (C) 2012-2016 European Commission
-% Copyright (C) 2012-2016 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -68,7 +68,7 @@ for j=1:size(anamendo,1),
if ~isempty(y0),
if mod(iplo,9)==0,
ifig=ifig+1;
- hh=dyn_figure(options_,'name',[namendo,' vs. shocks ',int2str(ifig)]);
+ hh=dyn_figure(options_.nodisplay,'name',[namendo,' vs. shocks ',int2str(ifig)]);
iplo=0;
end
iplo=iplo+1;
@@ -110,7 +110,7 @@ for j=1:size(anamendo,1),
if ~isempty(y0),
if mod(iplo,9)==0,
ifig=ifig+1;
- hh=dyn_figure(options_,'name',[namendo,' vs. lagged endogenous ',int2str(ifig)]);
+ hh=dyn_figure(options_.nodisplay,'name',[namendo,' vs. lagged endogenous ',int2str(ifig)]);
iplo=0;
end
iplo=iplo+1;
@@ -142,7 +142,7 @@ for j=1:size(anamendo,1),
end
end
-hh=dyn_figure(options_,'Name','Reduced form screening');
+hh=dyn_figure(options_.nodisplay,'Name','Reduced form screening');
%bar(SA)
% boxplot(SA','whis',10,'symbol','r.')
myboxplot(SA',[],'.',[],10)
diff --git a/matlab/gsa/scatter_mcf.m b/matlab/gsa/scatter_mcf.m
index f6f134a5c9573335e8264825010370de33a4f649..c6fccfdb6f5de923259a5e3a7f04d3bf820b7733 100644
--- a/matlab/gsa/scatter_mcf.m
+++ b/matlab/gsa/scatter_mcf.m
@@ -5,7 +5,7 @@ function scatter_mcf(X,Y,vnames,plotsymbol, fnam, dirname, figtitle, xparam1, D
% marco.ratto@ec.europa.eu
% Copyright (C) 2014-2016 European Commission
-% Copyright (C) 2014-2016 Dynare Team
+% Copyright (C) 2014-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -84,7 +84,7 @@ figtitle_tex=strrep(figtitle,'_','\_');
fig_nam_=[fnam];
if ~nograph,
- hh=dyn_figure(DynareOptions,'name',figtitle);
+ hh=dyn_figure(DynareOptions.nodisplay,'name',figtitle);
end
bf = 0.1;
diff --git a/matlab/gsa/scatter_plots.m b/matlab/gsa/scatter_plots.m
index a2c71eeafe301413db4cc0c0bfd520ec707ef908..b3a3b498f0ad581cb5219dae5e7edfa678e4e832 100644
--- a/matlab/gsa/scatter_plots.m
+++ b/matlab/gsa/scatter_plots.m
@@ -73,7 +73,7 @@ figtitle_tex=strrep(figtitle,'_','\_');
fig_nam_=[fnam];
if ~nograph,
- hh=dyn_figure(DynareOptions,'name',figtitle);
+ hh=dyn_figure(DynareOptions.nodisplay,'name',figtitle);
set(hh,'userdata',{X,xp})
end
diff --git a/matlab/gsa/stab_map_1.m b/matlab/gsa/stab_map_1.m
index 5295d0e30166f297331c073cf518766dfbec3d5a..a4f30821a108b22e8dea9354cce6465574694d5a 100644
--- a/matlab/gsa/stab_map_1.m
+++ b/matlab/gsa/stab_map_1.m
@@ -21,7 +21,7 @@ function [proba, dproba] = stab_map_1(lpmat, ibehaviour, inonbehaviour, aname, i
% marco.ratto@ec.europa.eu
% Copyright (C) 2012-2016 European Commission
-% Copyright (C) 2012-2016 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -82,7 +82,7 @@ if iplot && ~options_.nograph
ftit=bayestopt_.name(ipar+nshock*(1-ishock));
for i=1:ceil(nparplot/12),
- hh=dyn_figure(options_,'name',atitle);
+ hh=dyn_figure(options_.nodisplay,'name',atitle);
for j=1+12*(i-1):min(nparplot,12*i),
subplot(3,4,j-12*(i-1))
if ~isempty(ibehaviour),
diff --git a/matlab/gsa/stab_map_2.m b/matlab/gsa/stab_map_2.m
index 35c3df82c7155e6a95f2a3df06ee08c1fdc01bcd..561d883c4cd724cfcba6c67355f0d9b2190eebfc 100644
--- a/matlab/gsa/stab_map_2.m
+++ b/matlab/gsa/stab_map_2.m
@@ -6,7 +6,7 @@ function indcorr = stab_map_2(x,alpha2, pvalue_crit, fnam, dirname,xparam1,figti
% marco.ratto@ec.europa.eu
% Copyright (C) 2011-2016 European Commission
-% Copyright (C) 2011-2016 Dynare Team
+% Copyright (C) 2011-2017 Dynare Team
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
@@ -119,7 +119,7 @@ for j=1:npar,
if ~nograph,
if mod(j2,12)==1,
ifig=ifig+1;
- hh=dyn_figure(options_,'name',[figtitle,' sample bivariate projection ', num2str(ifig)]);
+ hh=dyn_figure(options_.nodisplay,'name',[figtitle,' sample bivariate projection ', num2str(ifig)]);
end
subplot(3,4,j2-(ifig-1)*12)
% bar(c0(i2,j)),
diff --git a/matlab/mh_autocorrelation_function.m b/matlab/mh_autocorrelation_function.m
index 96b4c5875f3b76b824d02fc2edc85647e7ead450..ceffbbd76a978fd8aed443520b692c69621e82fc 100644
--- a/matlab/mh_autocorrelation_function.m
+++ b/matlab/mh_autocorrelation_function.m
@@ -18,7 +18,7 @@ function mh_autocorrelation_function(options_,M_,estim_params_,type,blck,name1,n
%
% SPECIAL REQUIREMENTS
-% Copyright (C) 2003-2013 Dynare Team
+% Copyright (C) 2003-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -91,7 +91,7 @@ if options_.mh_nblck>1
FigureName = [ FigureName , ' (block number' int2str(blck) ').'];
end
-hh=dyn_figure(options_,'Name',FigureName);
+hh=dyn_figure(options_.nodisplay,'Name',FigureName);
bar(0:options_.mh_autocorrelation_function_size,autocor,'k');
axis tight
diff --git a/matlab/mode_check.m b/matlab/mode_check.m
index 8d216bcbfe3ab13dd654a4ae674afc5453b7d7b6..e16c9c1a9ca664b1ffc08e211dcdb5feb63be122 100644
--- a/matlab/mode_check.m
+++ b/matlab/mode_check.m
@@ -40,7 +40,7 @@ function mode_check(fun,x,hessian_mat,DynareDataset,DatasetInfo,DynareOptions,Mo
%! @end deftypefn
%@eod:
-% Copyright (C) 2003-2016 Dynare Team
+% Copyright (C) 2003-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -96,7 +96,7 @@ for plt = 1:nbplt,
NAMES = [];
TeXNAMES = [];
end
- hh = dyn_figure(DynareOptions,'Name','Mode check plots');
+ hh = dyn_figure(DynareOptions.nodisplay,'Name','Mode check plots');
for k=1:min(nstar,length(x)-(plt-1)*nstar)
subplot(nr,nc,k)
kk = (plt-1)*nstar+k;
diff --git a/matlab/particles b/matlab/particles
index 79b42ec947aa1dbe009778f3874f074f0d14eb7a..20978ce117597f2ce83afb2fbcd92347ee1642d1 160000
--- a/matlab/particles
+++ b/matlab/particles
@@ -1 +1 @@
-Subproject commit 79b42ec947aa1dbe009778f3874f074f0d14eb7a
+Subproject commit 20978ce117597f2ce83afb2fbcd92347ee1642d1
diff --git a/matlab/plot_icforecast.m b/matlab/plot_icforecast.m
index 62d788414f0c7265e161a0e110e66725de807968..9752d53768c7cfb76f8eb55ec5d266e9e89639d2 100644
--- a/matlab/plot_icforecast.m
+++ b/matlab/plot_icforecast.m
@@ -10,7 +10,7 @@ function plot_icforecast(Variables,periods,options_)
% SPECIAL REQUIREMENTS
% This routine has to be called after imcforecast.m.
-% Copyright (C) 2006-2016 Dynare Team
+% Copyright (C) 2006-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -57,7 +57,7 @@ for i=1:size(Variables,1)
end
function build_figure(name,cci1,cci2,mm1,mm2,options_,graphoptions)
-hh = dyn_figure(options_,'Name',['Conditional forecast (' graphoptions.title ,'): ' name '.']);
+hh = dyn_figure(options_.nodisplay,'Name',['Conditional forecast (' graphoptions.title ,'): ' name '.']);
H = length(mm1);
h1 = area(1:H,cci1(2,1:H),'BaseValue',min([min(cci1(1,:)),min(cci2(1,:))]),'FaceColor',[.9 .9 .9]);
hold on
diff --git a/matlab/plot_identification.m b/matlab/plot_identification.m
index e24695025000078d654ffcb2505d61b13df36049..78ac328a50aa89bf5826ac1fdd0ece35ddf755f3 100644
--- a/matlab/plot_identification.m
+++ b/matlab/plot_identification.m
@@ -19,7 +19,7 @@ function plot_identification(params,idemoments,idehess,idemodel, idelre, advance
% SPECIAL REQUIREMENTS
% None
-% Copyright (C) 2008-2016 Dynare Team
+% Copyright (C) 2008-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -60,7 +60,7 @@ tittxt1=regexprep(tittxt, ' ', '_');
tittxt1=strrep(tittxt1, '.', '');
if SampleSize == 1,
siJ = idemoments.siJ;
- hh = dyn_figure(options_,'Name',[tittxt, ' - Identification using info from observables']);
+ hh = dyn_figure(options_.nodisplay,'Name',[tittxt, ' - Identification using info from observables']);
subplot(211)
mmm = (idehess.ide_strength_J);
[ss, is] = sort(mmm);
@@ -132,7 +132,7 @@ if SampleSize == 1,
if all(isnan([siJnorm';siHnorm';siLREnorm']))
fprintf('\nIDENTIFICATION: Skipping sensitivity plot, because standard deviation of parameters is NaN, possibly due to the use of ML.\n')
else
- hh = dyn_figure(options_,'Name',[tittxt, ' - Sensitivity plot']);
+ hh = dyn_figure(options_.nodisplay,'Name',[tittxt, ' - Sensitivity plot']);
subplot(211)
mmm = (siJnorm)'./max(siJnorm);
mmm1 = (siHnorm)'./max(siHnorm);
@@ -185,7 +185,7 @@ if SampleSize == 1,
end
% fprintf('%-15s [%s] %10.3f\n',name{i},namx,idemoments.cosnJ(i,j))
end
- hh = dyn_figure(options_,'Name',[tittxt,' - Collinearity patterns with ', int2str(j) ,' parameter(s)']);
+ hh = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Collinearity patterns with ', int2str(j) ,' parameter(s)']);
imagesc(pax,[0 1]);
set(gca,'xticklabel','')
set(gca,'yticklabel','')
@@ -225,24 +225,24 @@ if SampleSize == 1,
S=diag(S);
if idehess.flag_score,
if nparam<5,
- f1 = dyn_figure(options_,'Name',[tittxt,' - Identification patterns (Information matrix)']);
+ f1 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Identification patterns (Information matrix)']);
tex_tit_1=[tittxt,' - Identification patterns (Information matrix)'];
else
- f1 = dyn_figure(options_,'Name',[tittxt,' - Identification patterns (Information matrix): SMALLEST SV']);
+ f1 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Identification patterns (Information matrix): SMALLEST SV']);
tex_tit_1=[tittxt,' - Identification patterns (Information matrix): SMALLEST SV'];
- f2 = dyn_figure(options_,'Name',[tittxt,' - Identification patterns (Information matrix): HIGHEST SV']);
+ f2 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Identification patterns (Information matrix): HIGHEST SV']);
tex_tit_2=[tittxt,' - Identification patterns (Information matrix): HIGHEST SV'];
end
else
% S = idemoments.S;
% V = idemoments.V;
if nparam<5,
- f1 = dyn_figure(options_,'Name',[tittxt,' - Identification patterns (moments Information matrix)']);
+ f1 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Identification patterns (moments Information matrix)']);
tex_tit_1=[tittxt,' - Identification patterns (moments Information matrix)'];
else
- f1 = dyn_figure(options_,'Name',[tittxt,' - Identification patterns (moments Information matrix): SMALLEST SV']);
+ f1 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Identification patterns (moments Information matrix): SMALLEST SV']);
tex_tit_1=[tittxt,' - Identification patterns (moments Information matrix): SMALLEST SV'];
- f2 = dyn_figure(options_,'Name',[tittxt,' - Identification patterns (moments Information matrix): HIGHEST SV']);
+ f2 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - Identification patterns (moments Information matrix): HIGHEST SV']);
tex_tit_2=[tittxt,' - Identification patterns (moments Information matrix): HIGHEST SV'];
end
end
@@ -303,7 +303,7 @@ if SampleSize == 1,
end
else
- hh = dyn_figure(options_,'Name',['MC sensitivities']);
+ hh = dyn_figure(options_.nodisplay,'Name',['MC sensitivities']);
subplot(211)
mmm = (idehess.ide_strength_J);
[ss, is] = sort(mmm);
@@ -350,7 +350,7 @@ else
disp('Press ENTER to display advanced diagnostics'), pause(5),
end
% options_.nograph=1;
- hh = dyn_figure(options_,'Name','MC Condition Number');
+ hh = dyn_figure(options_.nodisplay,'Name','MC Condition Number');
subplot(221)
hist(log10(idemodel.cond))
title('log10 of Condition number in the model')
@@ -398,12 +398,12 @@ else
% end
if nparam<5,
- f1 = dyn_figure(options_,'Name',[tittxt,' - MC Identification patterns (moments): HIGHEST SV']);
+ f1 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - MC Identification patterns (moments): HIGHEST SV']);
tex_tit_1=[tittxt,' - MC Identification patterns (moments): HIGHEST SV'];
else
- f1 = dyn_figure(options_,'Name',[tittxt,' - MC Identification patterns (moments): SMALLEST SV']);
+ f1 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - MC Identification patterns (moments): SMALLEST SV']);
tex_tit_1=[tittxt,' - MC Identification patterns (moments): SMALLEST SV'];
- f2 = dyn_figure(options_,'Name',[tittxt,' - MC Identification patterns (moments): HIGHEST SV']);
+ f2 = dyn_figure(options_.nodisplay,'Name',[tittxt,' - MC Identification patterns (moments): HIGHEST SV']);
tex_tit_2=[tittxt,' - MC Identification patterns (moments): HIGHEST SV'];
end
nplots=min(nparam,8);
diff --git a/matlab/plot_priors.m b/matlab/plot_priors.m
index 15842b8e96cffd8142be9c73b6b0d861c72cb1ac..f8a77fe04b552244471a40a163ad180b92a4ee0d 100644
--- a/matlab/plot_priors.m
+++ b/matlab/plot_priors.m
@@ -13,7 +13,7 @@ function plot_priors(bayestopt_,M_,estim_params_,options_)
% SPECIAL REQUIREMENTS
% None
-% Copyright (C) 2004-2016 Dynare Team
+% Copyright (C) 2004-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -43,7 +43,7 @@ if TeX && any(strcmp('eps',cellstr(options_.graph_format)))
fprintf(fidTeX,' \n');
end
for plt = 1:nbplt,
- hplt = dyn_figure(options_,'Name',figurename);
+ hplt = dyn_figure(options_.nodisplay,'Name',figurename);
if TeX
TeXNAMES = [];
NAMES = [];
diff --git a/matlab/pm3_core.m b/matlab/pm3_core.m
index c2d248f760d15e83f394c68b194a37d976149477..9443f9e9fed442c6356efa2ad29a51aed1a1b30e 100644
--- a/matlab/pm3_core.m
+++ b/matlab/pm3_core.m
@@ -13,7 +13,7 @@ function myoutput=pm3_core(myinputs,fpar,nvar,whoiam, ThisMatlab)
% SPECIAL REQUIREMENTS.
% None.
-% Copyright (C) 2007-2016 Dynare Team
+% Copyright (C) 2007-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -64,7 +64,7 @@ end
figunumber = 0;
subplotnum = 0;
-hh = dyn_figure(options_,'Name',[tit1 ' ' int2str(figunumber+1)]);
+hh = dyn_figure(options_.nodisplay,'Name',[tit1 ' ' int2str(figunumber+1)]);
RemoteFlag = 0;
if whoiam,
if Parallel(ThisMatlab).Local ==0
@@ -115,7 +115,7 @@ for i=fpar:nvar
subplotnum = 0;
figunumber = figunumber+1;
if (i ~= nvar)
- hh = dyn_figure(options_,'Name',[name3 ' ' int2str(figunumber+1)]);
+ hh = dyn_figure(options_.nodisplay,'Name',[name3 ' ' int2str(figunumber+1)]);
end
end
diff --git a/matlab/rplot.m b/matlab/rplot.m
index 5705abdc1b74d8971cca14d05c540d3eb113a225..ba2d3b1dffb167245a713e6b7977e77a9ab01713 100644
--- a/matlab/rplot.m
+++ b/matlab/rplot.m
@@ -14,7 +14,7 @@ function rplot(s1)
% SPECIAL REQUIREMENTS
% none
-% Copyright (C) 2001-2016 Dynare Team
+% Copyright (C) 2001-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -81,7 +81,7 @@ if rplottype == 0
for j = 1:size(y,1)
t = [t s1(j,:) ' '] ;
end
- hh=dyn_figure(options_,'Name',['Simulated Trajectory']);
+ hh=dyn_figure(options_.nodisplay,'Name',['Simulated Trajectory']);
plot(ix(i),y(:,i)) ;
title (t,'Interpreter','none') ;
xlabel('Periods') ;
@@ -100,7 +100,7 @@ if rplottype == 0
end
elseif rplottype == 1
for j = 1:size(y,1)
- hh=dyn_figure(options_,'Name',['Simulated Trajectory']);
+ hh=dyn_figure(options_.nodisplay,'Name',['Simulated Trajectory']);
plot(ix(i),y(j,i)) ;
xlim([min(ix(i)) max(ix(i))])
title(['Plot of ' s1(j,:)],'Interpreter','none') ;
@@ -111,7 +111,7 @@ elseif rplottype == 1
end
end
elseif rplottype == 2
- hh=dyn_figure(options_,'Name',['Simulated Trajectory']);
+ hh=dyn_figure(options_.nodisplay,'Name',['Simulated Trajectory']);
nl = max(1,fix(size(y,1)/4)) ;
nc = ceil(size(y,1)/nl) ;
for j = 1:size(y,1)
diff --git a/matlab/stoch_simul.m b/matlab/stoch_simul.m
index 1314c3a632a8979de932ae67368f1b58ec0221b5..81f53c90e00ddd25455186ef1d355c3af7bd686f 100644
--- a/matlab/stoch_simul.m
+++ b/matlab/stoch_simul.m
@@ -1,6 +1,6 @@
function info=stoch_simul(var_list)
-% Copyright (C) 2001-2016 Dynare Team
+% Copyright (C) 2001-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -253,10 +253,10 @@ if options_.irf
if nbplt == 0
elseif nbplt == 1
if options_.relative_irf
- hh = dyn_figure(options_,'Name',['Relative response to' ...
+ hh = dyn_figure(options_.nodisplay,'Name',['Relative response to' ...
' orthogonalized shock to ' tit(i,:)]);
else
- hh = dyn_figure(options_,'Name',['Orthogonalized shock to' ...
+ hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to' ...
' ' tit(i,:)]);
end
for j = 1:number_of_plots_to_draw
@@ -285,10 +285,10 @@ if options_.irf
else
for fig = 1:nbplt-1
if options_.relative_irf
- hh = dyn_figure(options_,'Name',['Relative response to orthogonalized shock' ...
+ hh = dyn_figure(options_.nodisplay,'Name',['Relative response to orthogonalized shock' ...
' to ' tit(i,:) ' figure ' int2str(fig)]);
else
- hh = dyn_figure(options_,'Name',['Orthogonalized shock to ' tit(i,:) ...
+ hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit(i,:) ...
' figure ' int2str(fig)]);
end
for plt = 1:nstar
@@ -321,7 +321,7 @@ if options_.irf
fprintf(fidTeX,' \n');
end
end
- hh = dyn_figure(options_,'Name',['Orthogonalized shock to ' tit(i,:) ' figure ' int2str(nbplt) '.']);
+ hh = dyn_figure(options_.nodisplay,'Name',['Orthogonalized shock to ' tit(i,:) ' figure ' int2str(nbplt) '.']);
m = 0;
for plt = 1:number_of_plots_to_draw-(nbplt-1)*nstar;
m = m+1;
diff --git a/matlab/trace_plot.m b/matlab/trace_plot.m
index 1073480d6d474b9546b8aef25bae59197648d302..72f8f7ab3dbccdec5a5adf830aa1cd9832bf75a7 100644
--- a/matlab/trace_plot.m
+++ b/matlab/trace_plot.m
@@ -18,7 +18,7 @@ function trace_plot(options_,M_,estim_params_,type,blck,name1,name2)
%
% SPECIAL REQUIREMENTS
-% Copyright (C) 2003-2016 Dynare Team
+% Copyright (C) 2003-2017 Dynare Team
%
% This file is part of Dynare.
%
@@ -95,7 +95,7 @@ if options_.mh_nblck>1
FigureName = [ FigureName , ' (block number ' int2str(blck) ').'];
end
-hh=dyn_figure(options_,'Name',FigureName);
+hh=dyn_figure(options_.nodisplay,'Name',FigureName);
plot(1:TotalNumberOfMhDraws,PosteriorDraws,'Color',[.7 .7 .7]);