use of nodisplay in all sensitivity calls

tests/gsa/ls2003.mod

@@ -67,8 +67,8 @@ disp('NOW I DO STABILITY MAPPING and prepare sample for Reduced form Mapping');
 disp(' ');
 disp('Press ENTER to continue'); pause(5);
 
-dynare_sensitivity(redform=1); //create sample of reduced form coefficients
-// NOTE: since namendo is emppty by default, 
+dynare_sensitivity(redform=1,nodisplay, graph_format=fig); //create sample of reduced form coefficients
+// NOTE: since namendo is empty by default, 
 // this call does not perform the mapping of reduced form coefficient: just prepares the sample
 
 disp(' ');
@@ -76,7 +76,7 @@ disp('ANALYSIS OF REDUCED FORM COEFFICIENTS');
 disp(' ');
 disp('Press ENTER to continue'); pause(5);
 
-dynare_sensitivity(load_stab=1,  // loead previously generated sample analysed for stability
+dynare_sensitivity(nodisplay, graph_format=fig,load_stab=1,  // loead previously generated sample analysed for stability
 redform=1,  // do the reduced form mapping
 threshold_redform=[-1 0],  // filter reduced form coefficients (default=[])
 namendo=(pie,R),  // evaluate relationships for pie and R (namendo=(:) for all variables)
@@ -108,7 +108,7 @@ disp(' ');
 disp('MC FILTERING(rmse=1), TO MAP THE FIT FROM PRIORS');
 disp('Press ENTER to continue'); pause(5);
 
-dynare_sensitivity(datafile=data_ca1,first_obs=8,nobs=79,prefilter=1, // also presample=2,loglinear, are admissible
+dynare_sensitivity(nodisplay, graph_format=fig,datafile=data_ca1,first_obs=8,nobs=79,prefilter=1, // also presample=2,loglinear, are admissible
 load_stab=1,     // load prior sample
 istart_rmse=2,   //start computing rmse from second observation (i.e. rmse does not inlude initial big error)
 stab=0,          // don't  plot again stability analysis results
@@ -145,7 +145,7 @@ disp('Press ENTER to continue'); pause(5);
 
 // run this to generate posterior mode and Metropolis files if not yet done
 estimation(datafile=data_ca1,first_obs=8,nobs=79,mh_nblocks=2,
-   prefilter=1,mh_jscale=0.5,mh_replic=5000, mode_compute=4, mh_drop=0.6, nodisplay,
+   prefilter=1,mh_jscale=0.5,mh_replic=5000, mode_compute=4, mh_drop=0.6, nodisplay, graph_format=fig,
    bayesian_irf, filtered_vars, smoother) y_obs R_obs pie_obs dq de;
 
 
@@ -161,7 +161,7 @@ disp('Typical for ML estimation, also feasible for posterior mode');
 disp(' ');
 disp('Press ENTER to continue'); pause(5);
 
-dynare_sensitivity(pprior=0,Nsam=2048,neighborhood_width=0.2,
+dynare_sensitivity(nodisplay, graph_format=fig,pprior=0,Nsam=2048,neighborhood_width=0.2,
 mode_file=ls2003_mode,  // specifies the mode file where the mode and Hessian are stored
 datafile=data_ca1,first_obs=8,nobs=79,prefilter=1,
 rmse=1);
@@ -172,7 +172,7 @@ disp('Typical for ML estimation, also feasible for posterior mode');
 disp(' ');
 disp('Press ENTER to continue'); pause(5);
 
-dynare_sensitivity(pprior=0,Nsam=2048,
+dynare_sensitivity(nodisplay, graph_format=fig,pprior=0,Nsam=2048,
 mode_file=ls2003_mode  // specifies the mode file where the mode and Hessian are stored
 );
 
@@ -181,7 +181,7 @@ disp(' ');
 disp('RMSE ANALYSIS FOR MULTIVARIATE SAMPLE AT THE POSTERIOR MODE');
 disp(' ');
 disp('Press ENTER to continue'); pause(5);
-dynare_sensitivity(mode_file=ls2003_mode,
+dynare_sensitivity(nodisplay, graph_format=fig,mode_file=ls2003_mode,
 datafile=data_ca1,first_obs=8,nobs=79,prefilter=1,
 pprior=0,
 stab=0,
@@ -213,6 +213,6 @@ disp('Press ENTER to continue'); pause(5);
 //estimation(datafile=data_ca1,first_obs=8,nobs=79,mh_nblocks=2, mode_file=ls2003_mode, load_mh_file,
 //  prefilter=1,mh_jscale=0.5,mh_replic=0, mode_compute=0, mh_drop=0.6);
 
-dynare_sensitivity(stab=0, // no need for stability analysis since the posterior sample is surely OK
+dynare_sensitivity(nodisplay, graph_format=fig,stab=0, // no need for stability analysis since the posterior sample is surely OK
 rmse=1,ppost=1);