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| version 1.353, 2023/05/08 18:48:22 | version 1.357, 2023/06/14 14:55:52 | 
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| Line 1 | Line 1 | 
| /* $Id$ | /* $Id$ | 
| $State$ | $State$ | 
| $Log$ | $Log$ | 
| Revision 1.357 2023/06/14 14:55:52 brouard | |
| * imach.c (Module): Testing if conjugate gradient could be quicker when lot of variables POWELLORIGINCONJUGATE | |
| Revision 1.356 2023/05/23 12:08:43 brouard | |
| Summary: 0.99r46 | |
| * imach.c (Module): Fixed PROB_r | |
| Revision 1.355 2023/05/22 17:03:18 brouard | |
| Summary: 0.99r46 | |
| * imach.c (Module): In the ILK....txt file, the number of columns | |
| before the covariates values is dependent of the number of states (16+nlstate): 0.99r46 | |
| Revision 1.354 2023/05/21 05:05:17 brouard | |
| Summary: Temporary change for imachprax | |
| Revision 1.353 2023/05/08 18:48:22 brouard | Revision 1.353 2023/05/08 18:48:22 brouard | 
| *** empty log message *** | *** empty log message *** | 
| Line 1278 Important routines | Line 1295 Important routines | 
| /* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ | /* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ | 
| /* #define MNBRAKORIGINAL /\* Don't use mnbrak fix *\/ */ | /* #define MNBRAKORIGINAL /\* Don't use mnbrak fix *\/ */ | 
| /* #define FLATSUP *//* Suppresses directions where likelihood is flat */ | /* #define FLATSUP *//* Suppresses directions where likelihood is flat */ | 
| #define POWELLORIGINCONJUGATE /* Don't use conjugate but biggest decrease if valuable */ | |
| #include <math.h> | #include <math.h> | 
| #include <stdio.h> | #include <stdio.h> | 
| Line 1612 int **nbcode, *Tvar; /**< model=V2 => Tv | Line 1630 int **nbcode, *Tvar; /**< model=V2 => Tv | 
| /* Tage[cptcovage]=k 5 8 10 */ /* Position in the model of ith cov*age */ | /* Tage[cptcovage]=k 5 8 10 */ /* Position in the model of ith cov*age */ | 
| /* model="V2+V3+V4+V6+V7+V6*V2+V7*V2+V6*V3+V7*V3+V6*V4+V7*V4+age*V2+age*V3+age*V4+age*V6+age*V7+age*V6*V2+age*V6*V3+age*V7*V3+age*V6*V4+age*V7*V4\r"*/ | /* model="V2+V3+V4+V6+V7+V6*V2+V7*V2+V6*V3+V7*V3+V6*V4+V7*V4+age*V2+age*V3+age*V4+age*V6+age*V7+age*V6*V2+age*V6*V3+age*V7*V3+age*V6*V4+age*V7*V4\r"*/ | 
| /* p Tvard[1][1]@21 = {6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0}*/ | /* p Tvard[1][1]@21 = {6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0}*/ | 
| /* p Tvard[2][1]@21 = {7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0 <repeats 11 times>} | /* p Tvard[2][1]@21 = {7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0 <repeats 11 times>} */ | 
| /* p Tvardk[1][1]@24 = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0}*/ | /* p Tvardk[1][1]@24 = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0}*/ | 
| /* p Tvardk[1][1]@22 = {0, 0, 0, 0, 0, 0, 0, 0, 6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0} */ | /* p Tvardk[1][1]@22 = {0, 0, 0, 0, 0, 0, 0, 0, 6, 2, 7, 2, 6, 3, 7, 3, 6, 4, 7, 4, 0, 0} */ | 
| /* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ | /* Tvard[1][1]@4={4,3,1,2} V4*V3 V1*V2 */ /* Position in model of the ith prod without age */ | 
| Line 2741 void powell(double p[], double **xi, int | Line 2759 void powell(double p[], double **xi, int | 
| printf("%d",i);fflush(stdout); /* print direction (parameter) i */ | printf("%d",i);fflush(stdout); /* print direction (parameter) i */ | 
| fprintf(ficlog,"%d",i);fflush(ficlog); | fprintf(ficlog,"%d",i);fflush(ficlog); | 
| #ifdef LINMINORIGINAL | #ifdef LINMINORIGINAL | 
| linmin(p,xit,n,fret,func); /* Point p[n]. xit[n] has been loaded for direction i as input.*/ | linmin(p,xit,n,fret,func); /* New point i minimizing in direction i has coordinates p[j].*/ | 
| /* xit[j] gives the n coordinates of direction i as input.*/ | |
| /* *fret gives the maximum value on direction xit */ | |
| #else | #else | 
| linmin(p,xit,n,fret,func,&flat); /* Point p[n]. xit[n] has been loaded for direction i as input.*/ | linmin(p,xit,n,fret,func,&flat); /* Point p[n]. xit[n] has been loaded for direction i as input.*/ | 
| flatdir[i]=flat; /* Function is vanishing in that direction i */ | flatdir[i]=flat; /* Function is vanishing in that direction i */ | 
| Line 2771 void powell(double p[], double **xi, int | Line 2791 void powell(double p[], double **xi, int | 
| fprintf(ficlog,"\n"); | fprintf(ficlog,"\n"); | 
| #endif | #endif | 
| } /* end loop on each direction i */ | } /* end loop on each direction i */ | 
| /* Convergence test will use last linmin estimation (fret) and compare former iteration (fp) */ | /* Convergence test will use last linmin estimation (fret) and compare to former iteration (fp) */ | 
| /* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ | /* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ | 
| /* New value of last point Pn is not computed, P(n-1) */ | |
| for(j=1;j<=n;j++) { | for(j=1;j<=n;j++) { | 
| if(flatdir[j] >0){ | if(flatdir[j] >0){ | 
| printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); | printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); | 
| Line 2911 void powell(double p[], double **xi, int | Line 2930 void powell(double p[], double **xi, int | 
| } | } | 
| } | } | 
| #endif | #endif | 
| #ifdef POWELLORIGINCONJUGATE | |
| for (j=1;j<=n;j++) { | for (j=1;j<=n;j++) { | 
| xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ | xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ | 
| xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ | xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ | 
| } | } | 
| #else | |
| for (j=1;j<=n-1;j++) { | |
| xi[j][1]=xi[j][j+1]; /* Standard method of conjugate directions */ | |
| xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ | |
| } | |
| #endif | |
| #ifdef LINMINORIGINAL | #ifdef LINMINORIGINAL | 
| #else | #else | 
| for (j=1, flatd=0;j<=n;j++) { | for (j=1, flatd=0;j<=n;j++) { | 
| Line 2943 void powell(double p[], double **xi, int | Line 2969 void powell(double p[], double **xi, int | 
| #endif | #endif | 
| printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); | printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); | 
| fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); | fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); | 
| /* The minimization in direction $\xi_1$ gives $P_1$. From $P_1$ minimization in direction $\xi_2$ gives */ | |
| /* $P_2$. Minimization of line $P_2-P_1$ gives new starting point $P^{(1)}_0$ and direction $\xi_1$ is dropped and replaced by second */ | |
| /* direction $\xi_1^{(1)}=\xi_2$. Also second direction is replaced by new direction $\xi^{(1)}_2=P_2-P_0$. */ | |
| /* At the second iteration, starting from $P_0^{(1)}$, minimization amongst $\xi^{(1)}_1$ gives point $P^{(1)}_1$. */ | |
| /* Minimization amongst $\xi^{(1)}_2=(P_2-P_0)$ gives point $P^{(1)}_2$. As $P^{(2)}_1$ and */ | |
| /* $P^{(1)}_0$ are minimizing in the same direction $P^{(1)}_2 - P^{(1)}_1= P_2-P_0$, directions $P^{(1)}_2-P^{(1)}_0$ */ | |
| /* and $P_2-P_0$ (parallel to $\xi$ and $\xi^c$) are conjugate. } */ | |
| #ifdef DEBUG | #ifdef DEBUG | 
| printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); | printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); | 
| Line 4553 double funcone( double *x) | Line 4588 double funcone( double *x) | 
| * 3 ncovta=15 +age*V3*V2+age*V2+agev3+ageV4 +age*V6 + age*V7 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 | * 3 ncovta=15 +age*V3*V2+age*V2+agev3+ageV4 +age*V6 + age*V7 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 | 
| * 3 TvarAVVA[1]@15= itva 3 2 2 3 4 6 7 6 3 7 3 6 4 7 4 | * 3 TvarAVVA[1]@15= itva 3 2 2 3 4 6 7 6 3 7 3 6 4 7 4 | 
| * 3 ncovta 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | * 3 ncovta 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | 
| * TvarAVVAind[1]@15= V3 is in k=2 1 1 2 3 4 5 4,2 5,2, 4,3 5 3}TvarVVAind[] | *?TvarAVVAind[1]@15= V3 is in k=2 1 1 2 3 4 5 4,2 5,2, 4,3 5 3}TvarVVAind[] | 
| * TvarAVVAind[1]@15= V3 is in k=6 6 12 13 14 15 16 18 18 19,19, 20,20 21,21}TvarVVAind[] | * TvarAVVAind[1]@15= V3 is in k=6 6 12 13 14 15 16 18 18 19,19, 20,20 21,21}TvarVVAind[] | 
| * 3 ncovvta=10 +age*V6 + age*V7 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 | * 3 ncovvta=10 +age*V6 + age*V7 + age*V6*V3 +age*V7*V3 + age*V6*V4 +age*V7*V4 | 
| * 3 we want to compute =cotvar[mw[mi][i]][TvarVVA[ncovva]][i] at position TvarVVAind[ncovva] | * 3 we want to compute =cotvar[mw[mi][i]][TvarVVA[ncovva]][i] at position TvarVVAind[ncovva] | 
| Line 4568 double funcone( double *x) | Line 4603 double funcone( double *x) | 
| * 6, 8, 9, 10, 11} | * 6, 8, 9, 10, 11} | 
| * TvarFind[itv] 0 0 0 | * TvarFind[itv] 0 0 0 | 
| * FixedV[itv] 1 1 1 0 1 0 1 0 1 0 0 | * FixedV[itv] 1 1 1 0 1 0 1 0 1 0 0 | 
| *? FixedV[itv] 1 1 1 0 1 0 1 0 1 0 1 0 1 0 | |
| * Tvar[TvarFind[ncovf]]=[1]=2 [2]=3 [4]=4 | * Tvar[TvarFind[ncovf]]=[1]=2 [2]=3 [4]=4 | 
| * Tvar[TvarFind[itv]] [0]=? ?ncovv 1 à ncovvt] | * Tvar[TvarFind[itv]] [0]=? ?ncovv 1 à ncovvt] | 
| * Not a fixed cotvar[mw][itv][i] 6 7 6 2 7, 2, 6, 3, 7, 3, 6, 4, 7, 4} | * Not a fixed cotvar[mw][itv][i] 6 7 6 2 7, 2, 6, 3, 7, 3, 6, 4, 7, 4} | 
| Line 4579 double funcone( double *x) | Line 4615 double funcone( double *x) | 
| ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ | ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/ | 
| /* if(TvarFind[itv]==0){ /\* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv *\/ */ | /* if(TvarFind[itv]==0){ /\* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv *\/ */ | 
| if(FixedV[itv]!=0){ /* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv */ | if(FixedV[itv]!=0){ /* Not a fixed covariate? Could be a fixed covariate of a product with a higher than ncovcol+nqv, itv */ | 
| /* printf("DEBUG ncovv=%d, Varying TvarVV[ncovv]=%d\n",ncovv, TvarVV[ncovv]); */ | |
| cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* because cotvar starts now at first ncovcol+nqv+ntv+nqtv (1 to nqtv) */ | cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]][i]; /* because cotvar starts now at first ncovcol+nqv+ntv+nqtv (1 to nqtv) */ | 
| /* printf("DEBUG Varying cov[ioffset+ipos=%d]=%g \n",ioffset+ipos,cotvarv); */ | |
| }else{ /* fixed covariate */ | }else{ /* fixed covariate */ | 
| /* cotvarv=covar[Tvar[TvarFind[itv]]][i]; /\* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model *\/ */ | /* cotvarv=covar[Tvar[TvarFind[itv]]][i]; /\* Error: TvarFind gives the name, that is the true column of fixed covariates, but Tvar of the model *\/ */ | 
| /* printf("DEBUG ncovv=%d, Fixed TvarVV[ncovv]=%d\n",ncovv, TvarVV[ncovv]); */ | |
| cotvarv=covar[itv][i]; /* Good: In V6*V3, 3 is fixed at position of the data */ | cotvarv=covar[itv][i]; /* Good: In V6*V3, 3 is fixed at position of the data */ | 
| /* printf("DEBUG Fixed cov[ioffset+ipos=%d]=%g \n",ioffset+ipos,cotvarv); */ | |
| } | } | 
| if(ipos!=iposold){ /* Not a product or first of a product */ | if(ipos!=iposold){ /* Not a product or first of a product */ | 
| cotvarvold=cotvarv; | cotvarvold=cotvarv; | 
| Line 4591 double funcone( double *x) | Line 4631 double funcone( double *x) | 
| } | } | 
| iposold=ipos; | iposold=ipos; | 
| cov[ioffset+ipos]=cotvarv; | cov[ioffset+ipos]=cotvarv; | 
| /* printf("DEBUG Product cov[ioffset+ipos=%d] \n",ioffset+ipos); */ | |
| /* For products */ | /* For products */ | 
| } | } | 
| /* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates single *\/ */ | /* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates single *\/ */ | 
| Line 4933 void mlikeli(FILE *ficres,double p[], in | Line 4974 void mlikeli(FILE *ficres,double p[], in | 
| double fret; | double fret; | 
| double fretone; /* Only one call to likelihood */ | double fretone; /* Only one call to likelihood */ | 
| /* char filerespow[FILENAMELENGTH];*/ | /* char filerespow[FILENAMELENGTH];*/ | 
| double * p1; /* Shifted parameters from 0 instead of 1 */ | |
| #ifdef NLOPT | #ifdef NLOPT | 
| int creturn; | int creturn; | 
| nlopt_opt opt; | nlopt_opt opt; | 
| /* double lb[9] = { -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL }; /\* lower bounds *\/ */ | /* double lb[9] = { -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL }; /\* lower bounds *\/ */ | 
| double *lb; | double *lb; | 
| double minf; /* the minimum objective value, upon return */ | double minf; /* the minimum objective value, upon return */ | 
| double * p1; /* Shifted parameters from 0 instead of 1 */ | |
| myfunc_data dinst, *d = &dinst; | myfunc_data dinst, *d = &dinst; | 
| #endif | #endif | 
| xi=matrix(1,npar,1,npar); | xi=matrix(1,npar,1,npar); | 
| for (i=1;i<=npar;i++) | for (i=1;i<=npar;i++) /* Starting with canonical directions j=1,n xi[i=1,n][j] */ | 
| for (j=1;j<=npar;j++) | for (j=1;j<=npar;j++) | 
| xi[i][j]=(i==j ? 1.0 : 0.0); | xi[i][j]=(i==j ? 1.0 : 0.0); | 
| printf("Powell\n"); fprintf(ficlog,"Powell\n"); | printf("Powell\n"); fprintf(ficlog,"Powell\n"); | 
| Line 5275 double hessij( double x[], double **hess | Line 5317 double hessij( double x[], double **hess | 
| kmax=kmax+10; | kmax=kmax+10; | 
| } | } | 
| if(kmax >=10 || firstime ==1){ | if(kmax >=10 || firstime ==1){ | 
| /* What are the thetai and thetaj? thetai/ncovmodel thetai=(thetai-thetai%ncovmodel)/ncovmodel +thetai%ncovmodel=(line,pos) */ | |
| printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); | printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); | 
| fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); | fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); | 
| printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); | printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); | 
| Line 7612 void varprob(char optionfilefiname[], do | Line 7655 void varprob(char optionfilefiname[], do | 
| double ***varpij; | double ***varpij; | 
| strcpy(fileresprob,"PROB_"); | strcpy(fileresprob,"PROB_"); | 
| strcat(fileresprob,fileres); | strcat(fileresprob,fileresu); | 
| if((ficresprob=fopen(fileresprob,"w"))==NULL) { | if((ficresprob=fopen(fileresprob,"w"))==NULL) { | 
| printf("Problem with resultfile: %s\n", fileresprob); | printf("Problem with resultfile: %s\n", fileresprob); | 
| fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob); | fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob); | 
| Line 8360 true period expectancies (those weighted | Line 8403 true period expectancies (those weighted | 
| /******************* Gnuplot file **************/ | /******************* Gnuplot file **************/ | 
| void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double bage, double fage , int prevfcast, int prevbcast, char pathc[], double p[], int offyear, int offbyear){ | void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double bage, double fage , int prevfcast, int prevbcast, char pathc[], double p[], int offyear, int offbyear){ | 
| char dirfileres[132],optfileres[132]; | char dirfileres[256],optfileres[256]; | 
| char gplotcondition[132], gplotlabel[132]; | char gplotcondition[256], gplotlabel[256]; | 
| int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,kf=0,kvar=0,kk=0,ipos=0,iposold=0,ij=0, ijp=0, l=0; | int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,kf=0,kvar=0,kk=0,ipos=0,iposold=0,ij=0, ijp=0, l=0; | 
| int lv=0, vlv=0, kl=0; | int lv=0, vlv=0, kl=0; | 
| int ng=0; | int ng=0; | 
| Line 8432 void printinggnuplot(char fileresu[], ch | Line 8475 void printinggnuplot(char fileresu[], ch | 
| kvar=Tvar[TvarFind[kf]]; /* variable name */ | kvar=Tvar[TvarFind[kf]]; /* variable name */ | 
| /* k=18+Tvar[TvarFind[kf]];/\*offset because there are 18 columns in the ILK_ file but could be placed else where *\/ */ | /* k=18+Tvar[TvarFind[kf]];/\*offset because there are 18 columns in the ILK_ file but could be placed else where *\/ */ | 
| /* k=18+kf;/\*offset because there are 18 columns in the ILK_ file *\/ */ | /* k=18+kf;/\*offset because there are 18 columns in the ILK_ file *\/ */ | 
| k=19+kf;/*offset because there are 19 columns in the ILK_ file */ | /* k=19+kf;/\*offset because there are 19 columns in the ILK_ file *\/ */ | 
| k=16+nlstate+kf;/*offset because there are 19 columns in the ILK_ file, first cov Vn on col 21 with 4 living states */ | |
| for (i=1; i<= nlstate ; i ++) { | for (i=1; i<= nlstate ; i ++) { | 
| fprintf(ficgp,"\nset out \"%s-p%dj-%d.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i,kvar); | fprintf(ficgp,"\nset out \"%s-p%dj-%d.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i,kvar); | 
| fprintf(ficgp,"unset log;\n# For each simple dummy covariate of the model \n plot \"%s\"",subdirf(fileresilk)); | fprintf(ficgp,"unset log;\n# For each simple dummy covariate of the model \n plot \"%s\"",subdirf(fileresilk)); |