");
m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}
+ fprintf(fichtm," \n
- Graphs
");
+
+ jj1=0;
+
+ fprintf(fichtm," \n
");
+ for(nres=1; nres <= nresult; nres++) /* For each resultline */
+ for(k1=1; k1<=m;k1++){ /* For each combination of covariate */
+ if(m != 1 && TKresult[nres]!= k1)
+ continue;
+ jj1++;
+ if (cptcovn > 0) {
+ fprintf(fichtm,"\n- ");
+
+ /* if(nqfveff+nqtveff 0) */ /* Test to be done */
+ fprintf(fichtm,"************ Results for covariates");
+ for (cpt=1; cpt<=cptcoveff;cpt++){
+ fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);
+ }
+ for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+ fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ }
+ if(invalidvarcomb[k1]){
+ fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1);
+ continue;
+ }
+ fprintf(fichtm,"
");
+ } /* cptcovn >0 */
+ }
+ fprintf(fichtm," \n
");
+
jj1=0;
for(nres=1; nres <= nresult; nres++) /* For each resultline */
@@ -6414,6 +6582,15 @@ void printinghtml(char fileresu[], char
/* for(i1=1; i1<=ncodemax[k1];i1++){ */
jj1++;
if (cptcovn > 0) {
+ fprintf(fichtm,"\n");
+
fprintf(fichtm,"
************ Results for covariates");
for (cpt=1; cpt<=cptcoveff;cpt++){
fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);
@@ -6435,7 +6612,7 @@ void printinghtml(char fileresu[], char
}
}
/* aij, bij */
- fprintf(fichtm,"
- Logit model (yours is: 1+age+%s), for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: %s_%d-1-%d.svg
\
+ fprintf(fichtm,"
- Logit model (yours is: logit(pij)=log(pij/pii)= aij+ bij age+%s) as a function of age: %s_%d-1-%d.svg
\
",model,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres);
/* Pij */
fprintf(fichtm,"
\n- Pij or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s_%d-2-%d.svg
\
@@ -6459,21 +6636,21 @@ divided by h: hPij
}
/* Period (stable) prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){
- fprintf(fichtm,"
\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d-%d.svg
\
-", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres);
+ fprintf(fichtm,"
\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. %s_%d-%d-%d.svg
\
+", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres);
}
if(backcast==1){
/* Period (stable) back prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){
- fprintf(fichtm,"
\n- Convergence to period (stable) back prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d-%d.svg
\
+ fprintf(fichtm,"
\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. %s_%d-%d-%d.svg
\
", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres);
}
}
if(prevfcast==1){
/* Projection of prevalence up to period (stable) prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){
- fprintf(fichtm,"
\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d-%d.svg
\
-", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
+ fprintf(fichtm,"
\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d-%d.svg
\
+", dateprev1, dateprev2, mobilavproj, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
}
}
@@ -6561,9 +6738,9 @@ See page 'Matrix of variance-covariance
}
}
for(cpt=1; cpt<=nlstate;cpt++) {
- fprintf(fichtm,"\n
- Observed (cross-sectional) and period (incidence based) \
+ fprintf(fichtm,"\n
- Observed (cross-sectional with mov_average=%d) and period (incidence based) \
prevalence (with 95%% confidence interval) in state (%d): %s_%d-%d-%d.svg\n
\
-",cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
+",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
}
fprintf(fichtm,"\n
- Total life expectancy by age and \
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
@@ -6579,16 +6756,17 @@ true period expectancies (those weighted
}
/******************* Gnuplot file **************/
-void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[]){
+ void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[], int offyear){
char dirfileres[132],optfileres[132];
- char gplotcondition[132];
+ char gplotcondition[132], gplotlabel[132];
int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,ij=0, ijp=0, l=0;
int lv=0, vlv=0, kl=0;
int ng=0;
int vpopbased;
int ioffset; /* variable offset for columns */
int nres=0; /* Index of resultline */
+ int istart=1; /* For starting graphs in projections */
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
/* printf("Problem with file %s",optionfilegnuplot); */
@@ -6641,6 +6819,7 @@ void printinggnuplot(char fileresu[], ch
/* We are interested in selected combination by the resultline */
/* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */
fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt);
+ strcpy(gplotlabel,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
@@ -6650,37 +6829,70 @@ void printinggnuplot(char fileresu[], ch
/* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */
/* printf(" V%d=%d ",Tvaraff[k],vlv); */
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
- }
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ }
+ strcpy(gplotlabel+strlen(gplotlabel),")");
/* printf("\n#\n"); */
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
+ /*k1=k1-1;*/ /* To be checked */
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
continue;
}
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres);
- fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres);
-
+ fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
+ fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
+ /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */
+ /* k1-1 error should be nres-1*/
for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres);
+ fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres);
+ fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1));
+ /* fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); */
+
+ fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" u 1:((",subdirf2(fileresu,"P_"));
+ if(cptcoveff ==0){
+ fprintf(ficgp,"$%d)) t 'Observed prevalence in state %d' with line lt 3", 2+(cpt-1), cpt );
+ }else{
+ kl=0;
+ for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[k]][lv];
+ kl++;
+ /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */
+ /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */
+ /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */
+ /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/
+ if(k==cptcoveff){
+ fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Observed prevalence in state %d' w l lt 2",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \
+ 2+cptcoveff*2+3*(cpt-1), cpt ); /* 4 or 6 ?*/
+ }else{
+ fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]);
+ kl++;
+ }
+ } /* end covariate */
+ } /* end if no covariate */
+
if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */
/* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */
fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1, nres in 2 to be fixed */
@@ -6709,7 +6921,7 @@ void printinggnuplot(char fileresu[], ch
} /* end covariate */
} /* end if no covariate */
} /* end if backcast */
- fprintf(ficgp,"\nset out \n");
+ fprintf(ficgp,"\nset out ;unset label;\n");
} /* nres */
} /* k1 */
} /* cpt */
@@ -6721,6 +6933,7 @@ void printinggnuplot(char fileresu[], ch
if(m != 1 && TKresult[nres]!= k1)
continue;
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files ");
+ strcpy(gplotlabel,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
@@ -6728,12 +6941,15 @@ void printinggnuplot(char fileresu[], ch
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
/* for(k=1; k <= ncovds; k++){ */
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
@@ -6742,26 +6958,27 @@ void printinggnuplot(char fileresu[], ch
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1,nres);
for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
- if(vpopbased==0)
+ fprintf(ficgp,"\nset label \"popbased %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",vpopbased,gplotlabel);
+ if(vpopbased==0){
fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage);
- else
+ }else
fprintf(ficgp,"\nreplot ");
for (i=1; i<= nlstate+1 ; i ++) {
k=2*i;
- fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1, vpopbased);
+ fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1, vpopbased);
for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
}
if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i);
else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1);
- fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased);
+ fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased);
for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
}
fprintf(ficgp,"\" t\"\" w l lt 0,");
- fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased);
+ fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased);
for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
@@ -6770,7 +6987,7 @@ void printinggnuplot(char fileresu[], ch
else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n");
} /* state */
} /* vpopbased */
- fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */
+ fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */
} /* end nres */
} /* k1 end 2 eme*/
@@ -6782,7 +6999,8 @@ void printinggnuplot(char fileresu[], ch
continue;
for (cpt=1; cpt<= nlstate ; cpt ++) {
- fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt);
+ fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt);
+ strcpy(gplotlabel,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
@@ -6790,10 +7008,13 @@ void printinggnuplot(char fileresu[], ch
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
@@ -6803,8 +7024,9 @@ void printinggnuplot(char fileresu[], ch
/* k=2+nlstate*(2*cpt-2); */
k=2+(nlstate+1)*(cpt-1);
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres);
+ fprintf(ficgp,"set label \"%s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel);
fprintf(ficgp,"set ter svg size 640, 480\n\
-plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt);
+plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),nres-1,nres-1,k,cpt);
/*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
@@ -6814,12 +7036,13 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
*/
for (i=1; i< nlstate ; i ++) {
- fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+i,cpt,i+1);
+ fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),nres-1,nres-1,k+i,cpt,i+1);
/* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/
}
- fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt);
+ fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),nres-1,nres-1,k+nlstate,cpt);
}
+ fprintf(ficgp,"\nunset label;\n");
} /* end nres */
} /* end kl 3eme */
@@ -6830,6 +7053,7 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
if(m != 1 && TKresult[nres]!= k1)
continue;
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/
+ strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
@@ -6838,10 +7062,13 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
@@ -6849,6 +7076,7 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u
}
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres);
+ fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar);
k=3;
@@ -6864,7 +7092,7 @@ set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"+$%d",k+l+j-1);
fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt);
} /* nlstate */
- fprintf(ficgp,"\nset out\n");
+ fprintf(ficgp,"\nset out; unset label;\n");
} /* end cpt state*/
} /* end nres */
} /* end covariate k1 */
@@ -6876,6 +7104,7 @@ set ter svg size 640, 480\nunset log y\n
if(m != 1 && TKresult[nres]!= k1)
continue;
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */
+ strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
@@ -6884,10 +7113,13 @@ set ter svg size 640, 480\nunset log y\n
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
@@ -6895,6 +7127,7 @@ set ter svg size 640, 480\nunset log y\n
}
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres);
+ fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar);
k=3;
@@ -6918,7 +7151,7 @@ set ter svg size 640, 480\nunset log y\n
else
fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt);
}
- fprintf(ficgp,"\nset out\n");
+ fprintf(ficgp,"\nset out; unset label;\n");
} /* end cpt state*/
} /* end covariate */
} /* end nres */
@@ -6929,8 +7162,8 @@ set ter svg size 640, 480\nunset log y\n
for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)
continue;
- for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
-
+ for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */
+ strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
@@ -6939,10 +7172,13 @@ set ter svg size 640, 480\nunset log y\n
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
@@ -6950,21 +7186,22 @@ set ter svg size 640, 480\nunset log y\n
}
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1,nres);
+ fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar);
k=3; /* Offset */
- for (i=1; i<= nlstate ; i ++){
+ for (i=1; i<= nlstate ; i ++){ /* State of origin */
if(i==1)
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
else
fprintf(ficgp,", '' ");
- l=(nlstate+ndeath)*(i-1)+1;
+ l=(nlstate+ndeath)*(i-1)+1; /* 1, 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
for (j=2; j<= nlstate ; j ++)
fprintf(ficgp,"+$%d",k+l+j-1);
fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
} /* nlstate */
- fprintf(ficgp,"\nset out\n");
+ fprintf(ficgp,"\nset out; unset label;\n");
} /* end cpt state*/
} /* end covariate */
@@ -6976,8 +7213,9 @@ set ter svg size 640, 480\nunset log y\n
for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)
continue;
- for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
- fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt);
+ for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life ending state */
+ strcpy(gplotlabel,"(");
+ fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pijb' files, covariatecombination#=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
@@ -6985,10 +7223,13 @@ set ter svg size 640, 480\nunset log y\n
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
@@ -6996,25 +7237,26 @@ set ter svg size 640, 480\nunset log y\n
}
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1,nres);
+ fprintf(ficgp,"set label \"Ending alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar);
k=3; /* Offset */
- for (i=1; i<= nlstate ; i ++){
+ for (i=1; i<= nlstate ; i ++){ /* State of origin */
if(i==1)
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_"));
else
fprintf(ficgp,", '' ");
/* l=(nlstate+ndeath)*(i-1)+1; */
- l=(nlstate+ndeath)*(cpt-1)+1;
+ l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */
- fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+(cpt-1)+i-1); /* a vérifier */
+ fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */
/* for (j=2; j<= nlstate ; j ++) */
/* fprintf(ficgp,"+$%d",k+l+j-1); */
/* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */
fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt);
} /* nlstate */
- fprintf(ficgp,"\nset out\n");
+ fprintf(ficgp,"\nset out; unset label;\n");
} /* end cpt state*/
} /* end covariate */
} /* End if backcast */
@@ -7028,6 +7270,7 @@ set ter svg size 640, 480\nunset log y\n
if(m != 1 && TKresult[nres]!= k1)
continue;
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+ strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
@@ -7036,10 +7279,13 @@ set ter svg size 640, 480\nunset log y\n
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){
fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
@@ -7048,14 +7294,19 @@ set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n ");
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
+ fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar);
- for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */
+
+ /* for (i=1; i<= nlstate+1 ; i ++){ /\* nlstate +1 p11 p21 p.1 *\/ */
+ istart=nlstate+1; /* Could be one if by state, but nlstate+1 is w.i projection only */
+ /*istart=1;*/ /* Could be one if by state, but nlstate+1 is w.i projection only */
+ for (i=istart; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */
/*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */
/*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */
- if(i==1){
+ if(i==istart){
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_"));
}else{
fprintf(ficgp,",\\\n '' ");
@@ -7067,10 +7318,15 @@ set ter svg size 640, 480\nunset log y\n
/*# V1 = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/
/*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */
fprintf(ficgp," u %d:(", ioffset);
- if(i==nlstate+1)
- fprintf(ficgp," $%d/(1.-$%d)) t 'pw.%d' with line ", \
+ if(i==nlstate+1){
+ fprintf(ficgp," $%d/(1.-$%d)):5 t 'pw.%d' with line lc variable ", \
+ ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
+ fprintf(ficgp,",\\\n '' ");
+ fprintf(ficgp," u %d:(",ioffset);
+ fprintf(ficgp," (($5-$6) == %d ) ? $%d/(1.-$%d) : 1/0):5 with labels center not ", \
+ offyear, \
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
- else
+ }else
fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt );
}else{ /* more than 2 covariates */
@@ -7102,15 +7358,21 @@ set ter svg size 640, 480\nunset log y\n
/*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */
/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/
if(i==nlstate+1){
- fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \
+ fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0):5 t 'p.%d' with line lc variable", gplotcondition, \
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
+ fprintf(ficgp,",\\\n '' ");
+ fprintf(ficgp," u %d:(",ioffset);
+ fprintf(ficgp,"%s && (($5-$6) == %d ) ? $%d/(1.-$%d) : 1/0):5 with labels center not ", gplotcondition, \
+ offyear, \
+ ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
+/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0) && (($5-$6) == 1947) ? $10/(1.-$22) : 1/0):5 with labels center boxed not*/
}else{
fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \
ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt );
}
} /* end if covariate */
} /* nlstate */
- fprintf(ficgp,"\nset out\n");
+ fprintf(ficgp,"\nset out; unset label;\n");
} /* end cpt state*/
} /* end covariate */
} /* End if prevfcast */
@@ -7153,17 +7415,31 @@ set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n");
fprintf(ficgp,"#model=%s \n",model);
fprintf(ficgp,"# Type of graphic ng=%d\n",ng);
- fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */
- for(jk=1; jk <=m; jk++) /* For each combination of covariate */
+ fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */
+ for(k1=1; k1 <=m; k1++) /* For each combination of covariate */
for(nres=1; nres <= nresult; nres++){ /* For each resultline */
- if(m != 1 && TKresult[nres]!= jk)
+ if(m != 1 && TKresult[nres]!= k1)
continue;
- fprintf(ficgp,"# Combination of dummy jk=%d and ",jk);
+ fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1);
+ strcpy(gplotlabel,"(");
+ sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);
+ for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */
+ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
+ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
+ /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
+ /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
+ vlv= nbcode[Tvaraff[k]][lv];
+ fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
+ }
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}
+ strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
- fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng,nres);
+ fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres);
+ fprintf(ficgp,"\nset label \"%s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel);
fprintf(ficgp,"\nset ter svg size 640, 480 ");
if (ng==1){
fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */
@@ -7213,7 +7489,7 @@ set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;
}else{ /* quantitative */
fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */
- /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
+ /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
}
ij++;
}
@@ -7222,10 +7498,10 @@ set ter svg size 640, 480\nunset log y\n
if(ijp <=cptcovprod) { /* Product */
if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */
if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */
- /* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(jk,j)],nbcode[Tvard[ijp][2]][codtabm(jk,j)]); */
+ /* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */
fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]);
}else{ /* Vn is dummy and Vm is quanti */
- /* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(jk,j)],Tqinvresult[nres][Tvard[ijp][2]]); */
+ /* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */
fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]);
}
}else{ /* Vn*Vm Vn is quanti */
@@ -7238,12 +7514,12 @@ set ter svg size 640, 480\nunset log y\n
ijp++;
}
} else{ /* simple covariate */
- /* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(jk,j)]); /\* Valgrind bug nbcode *\/ */
+ /* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */
if(Dummy[j]==0){
fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /* */
}else{ /* quantitative */
fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* */
- /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
+ /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
}
} /* end simple */
} /* end j */
@@ -7256,23 +7532,23 @@ set ter svg size 640, 480\nunset log y\n
if(ng != 1){
fprintf(ficgp,")/(1");
- for(k1=1; k1 <=nlstate; k1++){
+ for(cpt=1; cpt <=nlstate; cpt++){
if(nagesqr==0)
- fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);
+ fprintf(ficgp,"+exp(p%d+p%d*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1);
else /* nagesqr =1 */
- fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1,k3+(k1-1)*ncovmodel+1+nagesqr);
+ fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr);
ij=1;
for(j=3; j <=ncovmodel-nagesqr; j++){
if((j-2)==Tage[ij]) { /* Bug valgrind */
if(ij <=cptcovage) { /* Bug valgrind */
- fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
- /* fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
+ fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);
+ /* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
ij++;
}
}
else
- fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);/* Valgrind bug nbcode */
+ fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */
}
fprintf(ficgp,")");
}
@@ -7292,8 +7568,8 @@ set ter svg size 640, 480\nunset log y\n
i=i+ncovmodel;
} /* end k */
} /* end k2 */
- fprintf(ficgp,"\n set out\n");
- } /* end jk */
+ fprintf(ficgp,"\n set out; unset label;\n");
+ } /* end k1 */
} /* end ng */
/* avoid: */
fflush(ficgp);
@@ -7309,10 +7585,11 @@ set ter svg size 640, 480\nunset log y\n
int mobilavrange, mob;
int iage=0;
- double sum=0.;
+ double sum=0., sumr=0.;
double age;
- double *sumnewp, *sumnewm;
- double *agemingood, *agemaxgood; /* Currently identical for all covariates */
+ double *sumnewp, *sumnewm, *sumnewmr;
+ double *agemingood, *agemaxgood;
+ double *agemingoodr, *agemaxgoodr;
/* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */
@@ -7320,19 +7597,22 @@ set ter svg size 640, 480\nunset log y\n
sumnewp = vector(1,ncovcombmax);
sumnewm = vector(1,ncovcombmax);
+ sumnewmr = vector(1,ncovcombmax);
agemingood = vector(1,ncovcombmax);
+ agemingoodr = vector(1,ncovcombmax);
agemaxgood = vector(1,ncovcombmax);
+ agemaxgoodr = vector(1,ncovcombmax);
for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
- sumnewm[cptcod]=0.;
+ sumnewm[cptcod]=0.; sumnewmr[cptcod]=0.;
sumnewp[cptcod]=0.;
- agemingood[cptcod]=0;
- agemaxgood[cptcod]=0;
+ agemingood[cptcod]=0, agemingoodr[cptcod]=0;
+ agemaxgood[cptcod]=0, agemaxgoodr[cptcod]=0;
}
if (cptcovn<1) ncovcombmax=1; /* At least 1 pass */
- if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
- if(mobilav==1) mobilavrange=5; /* default */
+ if(mobilav==-1 || mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
+ if(mobilav==1 || mobilav==-1) mobilavrange=5; /* default */
else mobilavrange=mobilav;
for (age=bage; age<=fage; age++)
for (i=1; i<=nlstate;i++)
@@ -7344,77 +7624,143 @@ set ter svg size 640, 480\nunset log y\n
*/
for (mob=3;mob <=mobilavrange;mob=mob+2){
for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){
- for (i=1; i<=nlstate;i++){
- for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
+ for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
+ sumnewm[cptcod]=0.;
+ for (i=1; i<=nlstate;i++){
mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod];
for (cpt=1;cpt<=(mob-1)/2;cpt++){
mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod];
mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod];
}
mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob;
- }
- }
+ sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+ } /* end i */
+ if(sumnewm[cptcod] >1.e-3) mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/sumnewm[cptcod]; /* Rescaling to sum one */
+ } /* end cptcod */
}/* end age */
}/* end mob */
- }else
+ }else{
+ printf("Error internal in movingaverage, mobilav=%d.\n",mobilav);
return -1;
- for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
+ }
+
+ for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ /* for each combination */
/* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */
if(invalidvarcomb[cptcod]){
printf("\nCombination (%d) ignored because no cases \n",cptcod);
continue;
}
- agemingood[cptcod]=fage-(mob-1)/2;
- for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */
+ for (age=fage-(mob-1)/2; age>=bage+(mob-1)/2; age--){ /*looking for the youngest and oldest good age */
sumnewm[cptcod]=0.;
+ sumnewmr[cptcod]=0.;
for (i=1; i<=nlstate;i++){
sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+ sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
+ }
+ if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */
+ agemingoodr[cptcod]=age;
}
if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
- agemingood[cptcod]=age;
- }else{ /* bad */
- for (i=1; i<=nlstate;i++){
- mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod];
- } /* i */
- } /* end bad */
- }/* age */
- sum=0.;
- for (i=1; i<=nlstate;i++){
- sum+=mobaverage[(int)agemingood[cptcod]][i][cptcod];
- }
- if(fabs(sum - 1.) > 1.e-3) { /* bad */
- printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any descending age!\n",cptcod);
- /* for (i=1; i<=nlstate;i++){ */
- /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */
- /* } /\* i *\/ */
- } /* end bad */
- /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */
- /* From youngest, finding the oldest wrong */
- agemaxgood[cptcod]=bage+(mob-1)/2;
- for (age=bage+(mob-1)/2; age<=fage; age++){
+ agemingood[cptcod]=age;
+ }
+ } /* age */
+ for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ /*looking for the youngest and oldest good age */
sumnewm[cptcod]=0.;
+ sumnewmr[cptcod]=0.;
for (i=1; i<=nlstate;i++){
sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+ sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
+ }
+ if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */
+ agemaxgoodr[cptcod]=age;
}
if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
agemaxgood[cptcod]=age;
- }else{ /* bad */
- for (i=1; i<=nlstate;i++){
- mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
- } /* i */
+ }
+ } /* age */
+ /* Thus we have agemingood and agemaxgood as well as goodr for raw (preobs) */
+ /* but they will change */
+ for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, filling up to the youngest */
+ sumnewm[cptcod]=0.;
+ sumnewmr[cptcod]=0.;
+ for (i=1; i<=nlstate;i++){
+ sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+ sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
+ }
+ if(mobilav==-1){ /* Forcing raw ages if good else agemingood */
+ if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */
+ agemaxgoodr[cptcod]=age; /* age min */
+ for (i=1; i<=nlstate;i++)
+ mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
+ }else{ /* bad we change the value with the values of good ages */
+ for (i=1; i<=nlstate;i++){
+ mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgoodr[cptcod]][i][cptcod];
+ } /* i */
+ } /* end bad */
+ }else{
+ if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
+ agemaxgood[cptcod]=age;
+ }else{ /* bad we change the value with the values of good ages */
+ for (i=1; i<=nlstate;i++){
+ mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
+ } /* i */
+ } /* end bad */
+ }/* end else */
+ sum=0.;sumr=0.;
+ for (i=1; i<=nlstate;i++){
+ sum+=mobaverage[(int)age][i][cptcod];
+ sumr+=probs[(int)age][i][cptcod];
+ }
+ if(fabs(sum - 1.) > 1.e-3) { /* bad */
+ printf("Moving average A1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, bage);
+ } /* end bad */
+ /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */
+ if(fabs(sumr - 1.) > 1.e-3) { /* bad */
+ printf("Moving average A2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, bage);
} /* end bad */
}/* age */
- sum=0.;
- for (i=1; i<=nlstate;i++){
- sum+=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
- }
- if(fabs(sum - 1.) > 1.e-3) { /* bad */
- printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any ascending age!\n",cptcod);
- /* for (i=1; i<=nlstate;i++){ */
- /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */
- /* } /\* i *\/ */
- } /* end bad */
+
+ for (age=bage+(mob-1)/2; age<=fage; age++){/* From youngest, finding the oldest wrong */
+ sumnewm[cptcod]=0.;
+ sumnewmr[cptcod]=0.;
+ for (i=1; i<=nlstate;i++){
+ sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+ sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
+ }
+ if(mobilav==-1){ /* Forcing raw ages if good else agemingood */
+ if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good */
+ agemingoodr[cptcod]=age;
+ for (i=1; i<=nlstate;i++)
+ mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
+ }else{ /* bad we change the value with the values of good ages */
+ for (i=1; i<=nlstate;i++){
+ mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingoodr[cptcod]][i][cptcod];
+ } /* i */
+ } /* end bad */
+ }else{
+ if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
+ agemingood[cptcod]=age;
+ }else{ /* bad */
+ for (i=1; i<=nlstate;i++){
+ mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod];
+ } /* i */
+ } /* end bad */
+ }/* end else */
+ sum=0.;sumr=0.;
+ for (i=1; i<=nlstate;i++){
+ sum+=mobaverage[(int)age][i][cptcod];
+ sumr+=mobaverage[(int)age][i][cptcod];
+ }
+ if(fabs(sum - 1.) > 1.e-3) { /* bad */
+ printf("Moving average B1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you decrease fage=%d?\n",cptcod, sum, (int) age, fage);
+ } /* end bad */
+ /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */
+ if(fabs(sumr - 1.) > 1.e-3) { /* bad */
+ printf("Moving average B2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase fage=%d\n",cptcod,sumr, (int)age, fage);
+ } /* end bad */
+ }/* age */
+
for (age=bage; age<=fage; age++){
/* printf("%d %d ", cptcod, (int)age); */
@@ -7429,28 +7775,32 @@ set ter svg size 640, 480\nunset log y\n
}
/* printf("\n"); */
/* } */
+
/* brutal averaging */
- for (i=1; i<=nlstate;i++){
- for (age=1; age<=bage; age++){
- mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod];
- /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */
- }
- for (age=fage; age<=AGESUP; age++){
- mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
- /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */
- }
- } /* end i status */
- for (i=nlstate+1; i<=nlstate+ndeath;i++){
- for (age=1; age<=AGESUP; age++){
- /*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*/
- mobaverage[(int)age][i][cptcod]=0.;
- }
- }
+ /* for (i=1; i<=nlstate;i++){ */
+ /* for (age=1; age<=bage; age++){ */
+ /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */
+ /* /\* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); *\/ */
+ /* } */
+ /* for (age=fage; age<=AGESUP; age++){ */
+ /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; */
+ /* /\* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); *\/ */
+ /* } */
+ /* } /\* end i status *\/ */
+ /* for (i=nlstate+1; i<=nlstate+ndeath;i++){ */
+ /* for (age=1; age<=AGESUP; age++){ */
+ /* /\*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*\/ */
+ /* mobaverage[(int)age][i][cptcod]=0.; */
+ /* } */
+ /* } */
}/* end cptcod */
- free_vector(sumnewm,1, ncovcombmax);
- free_vector(sumnewp,1, ncovcombmax);
+ free_vector(agemaxgoodr,1, ncovcombmax);
free_vector(agemaxgood,1, ncovcombmax);
free_vector(agemingood,1, ncovcombmax);
+ free_vector(agemingoodr,1, ncovcombmax);
+ free_vector(sumnewmr,1, ncovcombmax);
+ free_vector(sumnewm,1, ncovcombmax);
+ free_vector(sumnewp,1, ncovcombmax);
return 0;
}/* End movingaverage */
@@ -7557,11 +7907,11 @@ set ter svg size 640, 480\nunset log y\n
for(j=1; j<=nlstate+ndeath;j++) {
ppij=0.;
for(i=1; i<=nlstate;i++) {
- if (mobilav==1)
+ /* if (mobilav>=1) */
ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][k];
- else {
- ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k];
- }
+ /* else { */ /* even if mobilav==-1 we use mobaverage */
+ /* ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; */
+ /* } */
if (h*hstepm/YEARM*stepm== yearp) {
fprintf(ficresf," %.3f", p3mat[i][j][h]);
}
@@ -7573,6 +7923,8 @@ set ter svg size 640, 480\nunset log y\n
} /* end h */
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
} /* end agec */
+ /* diffyear=(int) anproj1+yearp-ageminpar-1; */
+ /*printf("Prevforecast %d+%d-%d=diffyear=%d\n",(int) anproj1, (int)yearp,(int)ageminpar,(int) anproj1-(int)ageminpar);*/
} /* end yearp */
} /* end k */
@@ -9088,16 +9440,16 @@ int calandcheckages(int imx, int maxwav,
*nberr = *nberr + 1;
if(firstone == 0){
firstone=1;
- printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\nOther similar cases in log file\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m);
+ printf("Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\nOther similar cases in log file\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m);
}
- fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m);
- s[m][i]=-1;
+ fprintf(ficlog,"Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m);
+ s[m][i]=-1; /* Droping the death status */
}
if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
(*nberr)++;
- printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
- fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
- s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
+ printf("Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\nOther similar cases in log file\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m);
+ fprintf(ficlog,"Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m);
+ s[m][i]=-2; /* We prefer to skip it (and to skip it in version 0.8a1 too */
}
}
}
@@ -9554,6 +9906,8 @@ int back_prevalence_limit(double *p, dou
}else{
/* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */
bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k,nres);
+ /* printf("TOTOT\n"); */
+ /* exit(1); */
}
fprintf(ficresplb,"%.0f ",age );
for(j=1;j<=cptcoveff;j++)
@@ -9566,6 +9920,7 @@ int back_prevalence_limit(double *p, dou
fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp);
} /* Age */
/* was end of cptcod */
+ /*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */
} /* end of any combination */
} /* end of nres */
/* hBijx(p, bage, fage); */
@@ -9682,7 +10037,7 @@ int hPijx(double *p, int bage, int fage)
/* hstepm=1; aff par mois*/
pstamp(ficrespijb);
- fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x ");
+ fprintf(ficrespijb,"#****** h Bij x Back probability to be in state i at age x-h being in j at x: B1j+B2j+...=1 ");
i1= pow(2,cptcoveff);
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
/* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */
@@ -9698,7 +10053,7 @@ int hPijx(double *p, int bage, int fage)
fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
}
fprintf(ficrespijb,"******\n");
- if(invalidvarcomb[k]){
+ if(invalidvarcomb[k]){ /* Is it necessary here? */
fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k);
continue;
}
@@ -9711,12 +10066,14 @@ int hPijx(double *p, int bage, int fage)
/* nhstepm=nhstepm*YEARM; aff par mois*/
- p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */
+ /* and memory limitations if stepm is small */
+
/* oldm=oldms;savm=savms; */
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */
hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k);
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */
- fprintf(ficrespijb,"# Cov Agex agex-h hpijx with i,j=");
+ fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespijb," %1d-%1d",i,j);
@@ -9762,6 +10119,7 @@ int main(int argc, char *argv[])
int NDIM=2;
int vpopbased=0;
int nres=0;
+ int endishere=0;
char ca[32], cb[32];
/* FILE *fichtm; *//* Html File */
@@ -10043,9 +10401,12 @@ int main(int argc, char *argv[])
break;
}
if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){
- if (num_filled == 0)
- model[0]='\0';
- else if (num_filled != 1){
+ if (num_filled == 0){
+ printf("ERROR %d: Model should be at minimum 'model=1+age.' WITHOUT space:'%s'\n",num_filled, line);
+ fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' WITHOUT space:'%s'\n",num_filled, line);
+ model[0]='\0';
+ goto end;
+ } else if (num_filled != 1){
printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
model[0]='\0';
@@ -11136,11 +11497,9 @@ Please run with mle=-1 to get a correct
fprintf(ficlog,"Error: Not 7 (data)parameters in line but %d, for example:begin-prev-date=1/1/1990 end-prev-date=1/6/2004 mov_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
goto end;
}
- /* fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav); */
printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
- printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
}
@@ -11172,125 +11531,93 @@ Please run with mle=-1 to get a correct
fprintf(ficres,"pop_based=%d\n",popbased);
}
- while(fgets(line, MAXLINE, ficpar)) {
- /* If line starts with a # it is a comment */
- if (line[0] == '#') {
- numlinepar++;
- fputs(line,stdout);
- fputs(line,ficparo);
- fputs(line,ficlog);
- continue;
- }else
- break;
- }
- /* while((c=getc(ficpar))=='#' && c!= EOF){ */
- /* ungetc(c,ficpar); */
- /* fgets(line, MAXLINE, ficpar); */
- /* fputs(line,stdout); */
- /* fputs(line,ficres); */
- /* fputs(line,ficparo); */
- /* } */
- /* ungetc(c,ficpar); */
-
- /* fscanf(ficpar,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj); */
- if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF){
- if (num_filled != 8) {
- printf("Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
- fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mov_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
- goto end;
- }
- fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
- printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
- fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
- fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
- /* day and month of proj2 are not used but only year anproj2.*/
- }
- while(fgets(line, MAXLINE, ficpar)) {
- /* If line starts with a # it is a comment */
- if (line[0] == '#') {
- numlinepar++;
- fputs(line,stdout);
- fputs(line,ficparo);
- fputs(line,ficlog);
- continue;
- }else
- break;
- }
- /* while((c=getc(ficpar))=='#' && c!= EOF){ */
- /* ungetc(c,ficpar); */
- /* fgets(line, MAXLINE, ficpar); */
- /* fputs(line,stdout); */
- /* fputs(line,ficparo); */
- /* fputs(line,ficres); */
- /* } */
- /* ungetc(c,ficpar); */
-
- fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj);
- if((num_filled=sscanf(line,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj)) !=EOF){
- if (num_filled != 8) {
- printf("Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 finloal-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
- fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 finloal-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
- goto end;
- }
- printf("backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
- fprintf(ficparo,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
- fprintf(ficlog,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
- fprintf(ficres,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
- /* day and month of proj2 are not used but only year anproj2.*/
- }
/* Results */
nresult=0;
- while(fgets(line, MAXLINE, ficpar)) {
- /* If line starts with a # it is a comment */
- if (line[0] == '#') {
+ do{
+ if(!fgets(line, MAXLINE, ficpar)){
+ endishere=1;
+ parameterline=14;
+ }else if (line[0] == '#') {
+ /* If line starts with a # it is a comment */
numlinepar++;
fputs(line,stdout);
fputs(line,ficparo);
fputs(line,ficlog);
- fputs(line,ficres);
continue;
- }else
- break;
- }
- if (!feof(ficpar))
- while((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){
- if (num_filled == 0){
- resultline[0]='\0';
- printf("Warning %d: no result line should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line);
- break;
- } else if (num_filled != 1){
- printf("ERROR %d: result line should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line);
- }
- nresult++; /* Sum of resultlines */
- printf("Result %d: result=%s\n",nresult, resultline);
- if(nresult > MAXRESULTLINES){
- printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult);
- fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult);
- goto end;
- }
- decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */
- fprintf(ficparo,"result: %s\n",resultline);
- fprintf(ficres,"result: %s\n",resultline);
- fprintf(ficlog,"result: %s\n",resultline);
- while(fgets(line, MAXLINE, ficpar)) {
- /* If line starts with a # it is a comment */
- if (line[0] == '#') {
- numlinepar++;
- fputs(line,stdout);
- fputs(line,ficparo);
- fputs(line,ficres);
- fputs(line,ficlog);
- continue;
- }else
- break;
+ }else if(sscanf(line,"prevforecast=%[^\n]\n",modeltemp))
+ parameterline=11;
+ else if(sscanf(line,"backcast=%[^\n]\n",modeltemp))
+ parameterline=12;
+ else if(sscanf(line,"result:%[^\n]\n",modeltemp))
+ parameterline=13;
+ else{
+ parameterline=14;
}
- if (feof(ficpar))
+ switch (parameterline){
+ case 11:
+ if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF){
+ if (num_filled != 8) {
+ printf("Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
+ fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mov_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
+ goto end;
+ }
+ fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+ printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+ fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+ fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+ /* day and month of proj2 are not used but only year anproj2.*/
+ }
break;
- else{ /* Processess output results for this combination of covariate values */
- }
- } /* end while */
-
-
+ case 12:
+ /*fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj);*/
+ if((num_filled=sscanf(line,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj)) !=EOF){
+ if (num_filled != 8) {
+ printf("Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
+ fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
+ goto end;
+ }
+ printf("backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
+ fprintf(ficparo,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
+ fprintf(ficlog,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
+ fprintf(ficres,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
+ /* day and month of proj2 are not used but only year anproj2.*/
+ }
+ break;
+ case 13:
+ if((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){
+ if (num_filled == 0){
+ resultline[0]='\0';
+ printf("Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line);
+ fprintf(ficlog,"Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line);
+ break;
+ } else if (num_filled != 1){
+ printf("ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line);
+ fprintf(ficlog,"ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line);
+ }
+ nresult++; /* Sum of resultlines */
+ printf("Result %d: result=%s\n",nresult, resultline);
+ if(nresult > MAXRESULTLINES){
+ printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult);
+ fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult);
+ goto end;
+ }
+ decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */
+ fprintf(ficparo,"result: %s\n",resultline);
+ fprintf(ficres,"result: %s\n",resultline);
+ fprintf(ficlog,"result: %s\n",resultline);
+ break;
+ case 14:
+ if(ncovmodel >2 && nresult==0 ){
+ printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);
+ goto end;
+ }
+ break;
+ default:
+ nresult=1;
+ decoderesult(".",nresult ); /* No covariate */
+ }
+ } /* End switch parameterline */
+ }while(endishere==0); /* End do */
/* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */
/* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */
@@ -11304,10 +11631,10 @@ Please run with mle=-1 to get a correct
This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
}else{
- printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p);
+ printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)ageminpar);
}
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \
- model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \
+ model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,backcast, estepm, \
jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2);
/*------------ free_vector -------------*/
@@ -11360,15 +11687,23 @@ Please run with mle=-1 to get a correct
mobaverage=mobaverages;
if (mobilav!=0) {
printf("Movingaveraging observed prevalence\n");
+ fprintf(ficlog,"Movingaveraging observed prevalence\n");
if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
printf(" Error in movingaverage mobilav=%d\n",mobilav);
}
}
- /* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */
- /* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */
+ /* else if(mobilavproj==-1){ /\* Forcing raw observed prevalences *\/ */
+ /* for(i=1;i<=AGESUP;i++) */
+ /* for(j=1;j<=nlstate;j++) */
+ /* for(k=1;k<=ncovcombmax;k++) */
+ /* mobaverages[i][j][k]=probs[i][j][k]; */
+ /* /\* /\\* Prevalence for each covariates in probs[age][status][cov] *\\/ *\/ */
+ /* /\* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); *\/ */
+ /* } */
else if (mobilavproj !=0) {
printf("Movingaveraging projected observed prevalence\n");
+ fprintf(ficlog,"Movingaveraging projected observed prevalence\n");
if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){
fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj);
printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj);