version 1.238, 2016/08/26 14:23:35
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version 1.241, 2016/08/29 17:17:25
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/* $Id$ |
/* $Id$ |
$State$ |
$State$ |
$Log$ |
$Log$ |
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Revision 1.241 2016/08/29 17:17:25 brouard |
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Summary: gnuplot problem in Back projection to fix |
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Revision 1.240 2016/08/29 07:53:18 brouard |
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Summary: Better |
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Revision 1.239 2016/08/26 15:51:03 brouard |
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Summary: Improvement in Powell output in order to copy and paste |
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Author: |
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Revision 1.238 2016/08/26 14:23:35 brouard |
Revision 1.238 2016/08/26 14:23:35 brouard |
Summary: Starting tests of 0.99 |
Summary: Starting tests of 0.99 |
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Line 1032 double dval;
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Line 1043 double dval;
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#define FTOL 1.0e-10 |
#define FTOL 1.0e-10 |
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#define NRANSI |
#define NRANSI |
#define ITMAX 200 |
#define ITMAX 200 |
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#define ITPOWMAX 20 /* This is now multiplied by the number of parameters */ |
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#define TOL 2.0e-4 |
#define TOL 2.0e-4 |
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Line 2061 void powell(double p[], double **xi, int
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Line 2073 void powell(double p[], double **xi, int
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void linmin(double p[], double xi[], int n, double *fret, |
void linmin(double p[], double xi[], int n, double *fret, |
double (*func)(double [])); |
double (*func)(double [])); |
#else |
#else |
void linmin(double p[], double xi[], int n, double *fret, |
void linmin(double p[], double xi[], int n, double *fret, |
double (*func)(double []),int *flat); |
double (*func)(double []),int *flat); |
#endif |
#endif |
int i,ibig,j; |
int i,ibig,j,jk,k; |
double del,t,*pt,*ptt,*xit; |
double del,t,*pt,*ptt,*xit; |
double directest; |
double directest; |
double fp,fptt; |
double fp,fptt; |
Line 2096 void powell(double p[], double **xi, int
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Line 2108 void powell(double p[], double **xi, int
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fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); |
fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); |
/* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ |
/* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ |
for (i=1;i<=n;i++) { |
for (i=1;i<=n;i++) { |
printf(" %d %.12f",i, p[i]); |
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fprintf(ficlog," %d %.12lf",i, p[i]); |
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fprintf(ficrespow," %.12lf", p[i]); |
fprintf(ficrespow," %.12lf", p[i]); |
} |
} |
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fprintf(ficrespow,"\n");fflush(ficrespow); |
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printf("\n#model= 1 + age "); |
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fprintf(ficlog,"\n#model= 1 + age "); |
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if(nagesqr==1){ |
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printf(" + age*age "); |
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fprintf(ficlog," + age*age "); |
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} |
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for(j=1;j <=ncovmodel-2;j++){ |
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if(Typevar[j]==0) { |
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printf(" + V%d ",Tvar[j]); |
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fprintf(ficlog," + V%d ",Tvar[j]); |
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}else if(Typevar[j]==1) { |
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printf(" + V%d*age ",Tvar[j]); |
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fprintf(ficlog," + V%d*age ",Tvar[j]); |
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}else if(Typevar[j]==2) { |
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printf(" + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
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fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); |
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} |
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} |
printf("\n"); |
printf("\n"); |
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/* printf("12 47.0114589 0.0154322 33.2424412 0.3279905 2.3731903 */ |
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/* 13 -21.5392400 0.1118147 1.2680506 1.2973408 -1.0663662 */ |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficrespow,"\n");fflush(ficrespow); |
for(i=1,jk=1; i <=nlstate; i++){ |
if(*iter <=3){ |
for(k=1; k <=(nlstate+ndeath); k++){ |
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if (k != i) { |
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printf("%d%d ",i,k); |
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fprintf(ficlog,"%d%d ",i,k); |
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for(j=1; j <=ncovmodel; j++){ |
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printf("%12.7f ",p[jk]); |
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fprintf(ficlog,"%12.7f ",p[jk]); |
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jk++; |
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} |
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printf("\n"); |
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fprintf(ficlog,"\n"); |
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} |
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} |
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} |
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if(*iter <=3 && *iter >1){ |
tml = *localtime(&rcurr_time); |
tml = *localtime(&rcurr_time); |
strcpy(strcurr,asctime(&tml)); |
strcpy(strcurr,asctime(&tml)); |
rforecast_time=rcurr_time; |
rforecast_time=rcurr_time; |
itmp = strlen(strcurr); |
itmp = strlen(strcurr); |
if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */ |
if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */ |
strcurr[itmp-1]='\0'; |
strcurr[itmp-1]='\0'; |
printf("\nConsidering the time needed for the last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
printf("\nConsidering the time needed for the last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time); |
for(niterf=10;niterf<=30;niterf+=10){ |
for(niterf=10;niterf<=30;niterf+=10){ |
rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time); |
rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time); |
forecast_time = *localtime(&rforecast_time); |
forecast_time = *localtime(&rforecast_time); |
strcpy(strfor,asctime(&forecast_time)); |
strcpy(strfor,asctime(&forecast_time)); |
itmp = strlen(strfor); |
itmp = strlen(strfor); |
if(strfor[itmp-1]=='\n') |
if(strfor[itmp-1]=='\n') |
strfor[itmp-1]='\0'; |
strfor[itmp-1]='\0'; |
printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); |
} |
} |
} |
} |
for (i=1;i<=n;i++) { /* For each direction i */ |
for (i=1;i<=n;i++) { /* For each direction i */ |
Line 2220 void powell(double p[], double **xi, int
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Line 2265 void powell(double p[], double **xi, int
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free_vector(pt,1,n); |
free_vector(pt,1,n); |
return; |
return; |
} /* enough precision */ |
} /* enough precision */ |
if (*iter == ITMAX) nrerror("powell exceeding maximum iterations."); |
if (*iter == ITMAX*n) nrerror("powell exceeding maximum iterations."); |
for (j=1;j<=n;j++) { /* Computes the extrapolated point P_0 + 2 (P_n-P_0) */ |
for (j=1;j<=n;j++) { /* Computes the extrapolated point P_0 + 2 (P_n-P_0) */ |
ptt[j]=2.0*p[j]-pt[j]; |
ptt[j]=2.0*p[j]-pt[j]; |
xit[j]=p[j]-pt[j]; |
xit[j]=p[j]-pt[j]; |
Line 4094 void freqsummary(char fileres[], int ia
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Line 4139 void freqsummary(char fileres[], int ia
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fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
exit(0); |
exit(0); |
} |
} |
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strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); |
strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); |
if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { |
if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { |
printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
Line 4104 void freqsummary(char fileres[], int ia
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Line 4149 void freqsummary(char fileres[], int ia
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} |
} |
else{ |
else{ |
fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n \ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
} |
} |
fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition and dummy covariate value at beginning of transition</h4>\n",fileresphtm, fileresphtm); |
fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition and dummy covariate value at beginning of transition</h4>\n",fileresphtm, fileresphtm); |
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strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
fflush(ficlog); |
fflush(ficlog); |
exit(70); |
exit(70); |
} |
} else{ |
else{ |
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fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n \ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
} |
} |
fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions by age at begin of transition </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions of the model, by age at begin of transition, and covariate value at the begin of transition (if the covariate is a varying covariate) </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
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freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); |
j1=0; |
j1=0; |
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/* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
/* j=ncoveff; /\* Only fixed dummy covariates *\/ */ |
j=cptcoveff; /* Only dummy covariates of the model */ |
j=cptcoveff; /* Only dummy covariates of the model */ |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
if (cptcovn<1) {j=1;ncodemax[1]=1;} |
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first=1; |
first=1; |
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/* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: |
/* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: |
reference=low_education V1=0,V2=0 |
reference=low_education V1=0,V2=0 |
med_educ V1=1 V2=0, |
med_educ V1=1 V2=0, |
high_educ V1=0 V2=1 |
high_educ V1=0 V2=1 |
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff |
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff |
*/ |
*/ |
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for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on covariates combination in order of model, excluding quantitatives V4=0, V3=0 for example, fixed or varying covariates */ |
for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on covariates combination in order of model, excluding quantitatives V4=0, V3=0 for example, fixed or varying covariates */ |
posproptt=0.; |
posproptt=0.; |
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
scanf("%d", i);*/ |
scanf("%d", i);*/ |
for (i=-5; i<=nlstate+ndeath; i++) |
for (i=-5; i<=nlstate+ndeath; i++) |
for (jk=-5; jk<=nlstate+ndeath; jk++) |
for (jk=-5; jk<=nlstate+ndeath; jk++) |
for(m=iagemin; m <= iagemax+3; m++) |
for(m=iagemin; m <= iagemax+3; m++) |
freq[i][jk][m]=0; |
freq[i][jk][m]=0; |
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for (i=1; i<=nlstate; i++) { |
for (i=1; i<=nlstate; i++) { |
for(m=iagemin; m <= iagemax+3; m++) |
for(m=iagemin; m <= iagemax+3; m++) |
prop[i][m]=0; |
prop[i][m]=0; |
posprop[i]=0; |
posprop[i]=0; |
pospropt[i]=0; |
pospropt[i]=0; |
} |
} |
Line 4162 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 4206 Title=%s <br>Datafile=%s Firstpass=%d La
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/* meanqt[m][z1]=0.; */ |
/* meanqt[m][z1]=0.; */ |
/* } */ |
/* } */ |
/* } */ |
/* } */ |
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dateintsum=0; |
dateintsum=0; |
k2cpt=0; |
k2cpt=0; |
/* For that combination of covariate j1, we count and print the frequencies in one pass */ |
/* For that combination of covariate j1, we count and print the frequencies in one pass */ |
Line 4241 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 4285 Title=%s <br>Datafile=%s Firstpass=%d La
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} /* end iind = 1 to imx */ |
} /* end iind = 1 to imx */ |
/* prop[s][age] is feeded for any initial and valid live state as well as |
/* prop[s][age] is feeded for any initial and valid live state as well as |
freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ |
freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */ |
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/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ |
pstamp(ficresp); |
pstamp(ficresp); |
/* if (ncoveff>0) { */ |
if (cptcoveff>0){ |
if (cptcoveff>0) { |
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fprintf(ficresp, "\n#********** Variable "); |
fprintf(ficresp, "\n#********** Variable "); |
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
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fprintf(ficlog, "\n#********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++){ |
for (z1=1; z1<=cptcoveff; z1++){ |
fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
if(DummyV[z1]){ |
fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresp, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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fprintf(ficresphtmfr, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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fprintf(ficlog, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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}else{ |
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fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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} |
} |
} |
fprintf(ficresp, "**********\n#"); |
fprintf(ficresp, "**********\n#"); |
fprintf(ficresphtm, "**********</h3>\n"); |
fprintf(ficresphtm, "**********</h3>\n"); |
fprintf(ficresphtmfr, "**********</h3>\n"); |
fprintf(ficresphtmfr, "**********</h3>\n"); |
fprintf(ficlog, "\n#********** Variable "); |
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for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
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fprintf(ficlog, "**********\n"); |
fprintf(ficlog, "**********\n"); |
} |
} |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
for(i=1; i<=nlstate;i++) { |
for(i=1; i<=nlstate;i++) { |
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
fprintf(ficresp, " Age Prev(%d) N(%d) N ",i,i); |
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
} |
} |
fprintf(ficresp, "\n"); |
fprintf(ficresp, "\n"); |
fprintf(ficresphtm, "\n"); |
fprintf(ficresphtm, "\n"); |
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/* Header of frequency table by age */ |
/* Header of frequency table by age */ |
fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">"); |
fprintf(ficresphtmfr,"<th>Age</th> "); |
fprintf(ficresphtmfr,"<th>Age</th> "); |
Line 4280 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 4330 Title=%s <br>Datafile=%s Firstpass=%d La
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} |
} |
} |
} |
fprintf(ficresphtmfr, "\n"); |
fprintf(ficresphtmfr, "\n"); |
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/* For each age */ |
/* For each age */ |
for(iage=iagemin; iage <= iagemax+3; iage++){ |
for(iage=iagemin; iage <= iagemax+3; iage++){ |
fprintf(ficresphtm,"<tr>"); |
fprintf(ficresphtm,"<tr>"); |
if(iage==iagemax+1){ |
if(iage==iagemax+1){ |
fprintf(ficlog,"1"); |
fprintf(ficlog,"1"); |
fprintf(ficresphtmfr,"<tr><th>0</th> "); |
fprintf(ficresphtmfr,"<tr><th>0</th> "); |
}else if(iage==iagemax+2){ |
}else if(iage==iagemax+2){ |
fprintf(ficlog,"0"); |
fprintf(ficlog,"0"); |
fprintf(ficresphtmfr,"<tr><th>Unknown</th> "); |
fprintf(ficresphtmfr,"<tr><th>Unknown</th> "); |
}else if(iage==iagemax+3){ |
}else if(iage==iagemax+3){ |
fprintf(ficlog,"Total"); |
fprintf(ficlog,"Total"); |
fprintf(ficresphtmfr,"<tr><th>Total</th> "); |
fprintf(ficresphtmfr,"<tr><th>Total</th> "); |
}else{ |
}else{ |
if(first==1){ |
if(first==1){ |
first=0; |
first=0; |
printf("See log file for details...\n"); |
printf("See log file for details...\n"); |
} |
} |
fprintf(ficresphtmfr,"<tr><th>%d</th> ",iage); |
fprintf(ficresphtmfr,"<tr><th>%d</th> ",iage); |
fprintf(ficlog,"Age %d", iage); |
fprintf(ficlog,"Age %d", iage); |
} |
} |
for(jk=1; jk <=nlstate ; jk++){ |
for(jk=1; jk <=nlstate ; jk++){ |
for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) |
pp[jk] += freq[jk][m][iage]; |
pp[jk] += freq[jk][m][iage]; |
} |
} |
for(jk=1; jk <=nlstate ; jk++){ |
for(jk=1; jk <=nlstate ; jk++){ |
for(m=-1, pos=0; m <=0 ; m++) |
for(m=-1, pos=0; m <=0 ; m++) |
pos += freq[jk][m][iage]; |
pos += freq[jk][m][iage]; |
if(pp[jk]>=1.e-10){ |
if(pp[jk]>=1.e-10){ |
if(first==1){ |
if(first==1){ |
printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
} |
} |
fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); |
}else{ |
}else{ |
if(first==1) |
if(first==1) |
printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); |
} |
} |
} |
} |
|
|
for(jk=1; jk <=nlstate ; jk++){ |
for(jk=1; jk <=nlstate ; jk++){ |
/* posprop[jk]=0; */ |
/* posprop[jk]=0; */ |
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ |
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ |
pp[jk] += freq[jk][m][iage]; |
pp[jk] += freq[jk][m][iage]; |
} /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */ |
} /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */ |
|
|
for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){ |
for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){ |
pos += pp[jk]; /* pos is the total number of transitions until this age */ |
pos += pp[jk]; /* pos is the total number of transitions until this age */ |
posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state |
posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state |
pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ |
} |
} |
for(jk=1; jk <=nlstate ; jk++){ |
for(jk=1; jk <=nlstate ; jk++){ |
if(pos>=1.e-5){ |
if(pos>=1.e-5){ |
if(first==1) |
if(first==1) |
printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); |
}else{ |
}else{ |
if(first==1) |
if(first==1) |
printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); |
} |
} |
if( iage <= iagemax){ |
if( iage <= iagemax){ |
if(pos>=1.e-5){ |
if(pos>=1.e-5){ |
fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); |
/*probs[iage][jk][j1]= pp[jk]/pos;*/ |
/*probs[iage][jk][j1]= pp[jk]/pos;*/ |
/*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/ |
/*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/ |
} |
} |
else{ |
else{ |
fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta); |
fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta); |
fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[jk][iage],pospropta); |
fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[jk][iage],pospropta); |
} |
} |
} |
} |
pospropt[jk] +=posprop[jk]; |
pospropt[jk] +=posprop[jk]; |
} /* end loop jk */ |
} /* end loop jk */ |
/* pospropt=0.; */ |
/* pospropt=0.; */ |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
for(m=-1; m <=nlstate+ndeath; m++){ |
for(m=-1; m <=nlstate+ndeath; m++){ |
if(freq[jk][m][iage] !=0 ) { /* minimizing output */ |
if(freq[jk][m][iage] !=0 ) { /* minimizing output */ |
if(first==1){ |
if(first==1){ |
printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); |
printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); |
} |
} |
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]); |
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]); |
} |
} |
if(jk!=0 && m!=0) |
if(jk!=0 && m!=0) |
fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][iage]); |
fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][iage]); |
} |
} |
} /* end loop jk */ |
} /* end loop jk */ |
posproptt=0.; |
posproptt=0.; |
for(jk=1; jk <=nlstate; jk++){ |
for(jk=1; jk <=nlstate; jk++){ |
posproptt += pospropt[jk]; |
posproptt += pospropt[jk]; |
} |
} |
fprintf(ficresphtmfr,"</tr>\n "); |
fprintf(ficresphtmfr,"</tr>\n "); |
if(iage <= iagemax){ |
if(iage <= iagemax){ |
fprintf(ficresp,"\n"); |
fprintf(ficresp,"\n"); |
fprintf(ficresphtm,"</tr>\n"); |
fprintf(ficresphtm,"</tr>\n"); |
} |
} |
if(first==1) |
if(first==1) |
printf("Others in log...\n"); |
printf("Others in log...\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
} /* end loop age iage */ |
} /* end loop age iage */ |
fprintf(ficresphtm,"<tr><th>Tot</th>"); |
fprintf(ficresphtm,"<tr><th>Tot</th>"); |
for(jk=1; jk <=nlstate ; jk++){ |
for(jk=1; jk <=nlstate ; jk++){ |
if(posproptt < 1.e-5){ |
if(posproptt < 1.e-5){ |
fprintf(ficresphtm,"<td>Nanq</td><td>%.0f</td><td>%.0f</td>",pospropt[jk],posproptt); |
fprintf(ficresphtm,"<td>Nanq</td><td>%.0f</td><td>%.0f</td>",pospropt[jk],posproptt); |
}else{ |
}else{ |
fprintf(ficresphtm,"<td>%.5f</td><td>%.0f</td><td>%.0f</td>",pospropt[jk]/posproptt,pospropt[jk],posproptt); |
fprintf(ficresphtm,"<td>%.5f</td><td>%.0f</td><td>%.0f</td>",pospropt[jk]/posproptt,pospropt[jk],posproptt); |
} |
} |
} |
} |
fprintf(ficresphtm,"</tr>\n"); |
fprintf(ficresphtm,"</tr>\n"); |
Line 4406 Title=%s <br>Datafile=%s Firstpass=%d La
|
Line 4456 Title=%s <br>Datafile=%s Firstpass=%d La
|
fprintf(ficresphtmfr,"</table>\n"); |
fprintf(ficresphtmfr,"</table>\n"); |
} /* end selected combination of covariate j1 */ |
} /* end selected combination of covariate j1 */ |
dateintmean=dateintsum/k2cpt; |
dateintmean=dateintsum/k2cpt; |
|
|
fclose(ficresp); |
fclose(ficresp); |
fclose(ficresphtm); |
fclose(ficresphtm); |
fclose(ficresphtmfr); |
fclose(ficresphtmfr); |
Line 5568 void concatwav(int wav[], int **dh, int
|
Line 5618 void concatwav(int wav[], int **dh, int
|
|
|
pstamp(ficresvpl); |
pstamp(ficresvpl); |
fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n"); |
fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n"); |
fprintf(ficresvpl,"# Age"); |
fprintf(ficresvpl,"# Age "); |
|
if(nresult >=1) |
|
fprintf(ficresvpl," Result# "); |
for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
fprintf(ficresvpl," %1d-%1d",i,i); |
fprintf(ficresvpl," %1d-%1d",i,i); |
fprintf(ficresvpl,"\n"); |
fprintf(ficresvpl,"\n"); |
Line 5654 void concatwav(int wav[], int **dh, int
|
Line 5706 void concatwav(int wav[], int **dh, int
|
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ |
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ |
|
|
fprintf(ficresvpl,"%.0f ",age ); |
fprintf(ficresvpl,"%.0f ",age ); |
|
if(nresult >=1) |
|
fprintf(ficresvpl,"%d ",nres ); |
for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age])); |
fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age])); |
fprintf(ficresvpl,"\n"); |
fprintf(ficresvpl,"\n"); |
Line 6058 void printinghtml(char fileresu[], char
|
Line 6112 void printinghtml(char fileresu[], char
|
jj1=0; |
jj1=0; |
|
|
for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(k1=1; k1<=m;k1++){ |
for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ |
if(TKresult[nres]!= k1) |
if(TKresult[nres]!= k1) |
continue; |
continue; |
|
|
Line 6086 void printinghtml(char fileresu[], char
|
Line 6140 void printinghtml(char fileresu[], char
|
} |
} |
} |
} |
/* aij, bij */ |
/* aij, bij */ |
fprintf(fichtm,"<br>- 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: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \ |
fprintf(fichtm,"<br>- 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: <a href=\"%s_%d-1-%d.svg\">%s_%d-1-%d.svg</a><br> \ |
<img src=\"%s_%d-1.svg\">",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-1-%d.svg\">",model,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); |
/* Pij */ |
/* Pij */ |
fprintf(fichtm,"<br>\n- P<sub>ij</sub> or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \ |
fprintf(fichtm,"<br>\n- P<sub>ij</sub> or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2-%d.svg\">%s_%d-2-%d.svg</a><br> \ |
<img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-2-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); |
/* Quasi-incidences */ |
/* Quasi-incidences */ |
fprintf(fichtm,"<br>\n- I<sub>ij</sub> or Conditional probabilities to be observed in state j being in state i %d (stepm) months\ |
fprintf(fichtm,"<br>\n- I<sub>ij</sub> or Conditional probabilities to be observed in state j being in state i %d (stepm) months\ |
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too, \ |
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too, \ |
incidence (rates) are the limit when h tends to zero of the ratio of the probability <sub>h</sub>P<sub>ij</sub> \ |
incidence (rates) are the limit when h tends to zero of the ratio of the probability <sub>h</sub>P<sub>ij</sub> \ |
divided by h: <sub>h</sub>P<sub>ij</sub>/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \ |
divided by h: <sub>h</sub>P<sub>ij</sub>/h : <a href=\"%s_%d-3-%d.svg\">%s_%d-3-%d.svg</a><br> \ |
<img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-3-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); |
/* Survival functions (period) in state j */ |
/* Survival functions (period) in state j */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1); |
<img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); |
} |
} |
/* State specific survival functions (period) */ |
/* State specific survival functions (period) */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\n- Survival functions from state %d in each live state and total.\ |
fprintf(fichtm,"<br>\n- Survival functions from state %d in each live state and total.\ |
Or probability to survive in various states (1 to %d) being in state %d at different ages. \ |
Or probability to survive in various states (1 to %d) being in state %d at different ages. \ |
<a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> <img src=\"%s_%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1); |
<a href=\"%s_%d-%d-%d.svg\">%s_%d%d-%d.svg</a><br> <img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); |
} |
} |
/* Period (stable) prevalence in each health state */ |
/* Period (stable) prevalence in each health state */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\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. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\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. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1); |
<img src=\"%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); |
} |
} |
if(backcast==1){ |
if(backcast==1){ |
/* Period (stable) back prevalence in each health state */ |
/* Period (stable) back prevalence in each health state */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\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. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \ |
fprintf(fichtm,"<br>\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. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1); |
<img src=\"%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){ |
if(prevfcast==1){ |
/* Projection of prevalence up to period (stable) prevalence in each health state */ |
/* Projection of prevalence up to period (stable) prevalence in each health state */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
fprintf(fichtm,"<br>\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. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
fprintf(fichtm,"<br>\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. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \ |
<img src=\"%s_%d-%d.svg\">", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1); |
<img src=\"%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); |
} |
} |
} |
} |
|
|
for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d%d.svg\">%s_%d%d.svg</a> <br> \ |
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a> <br> \ |
<img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1); |
<img src=\"%s_%d-%d-%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); |
} |
} |
/* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
}/* End k1 */ |
}/* End k1 */ |
Line 6189 See page 'Matrix of variance-covariance
|
Line 6243 See page 'Matrix of variance-covariance
|
|
|
jj1=0; |
jj1=0; |
|
|
for(nres=1; nres <= nresult; nres++) /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(k1=1; k1<=m;k1++){ |
for(k1=1; k1<=m;k1++){ |
if(TKresult[nres]!= k1) |
if(TKresult[nres]!= k1) |
continue; |
continue; |
Line 6213 See page 'Matrix of variance-covariance
|
Line 6267 See page 'Matrix of variance-covariance
|
} |
} |
for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
fprintf(fichtm,"\n<br>- Observed (cross-sectional) and period (incidence based) \ |
fprintf(fichtm,"\n<br>- Observed (cross-sectional) and period (incidence based) \ |
prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d.svg\"> %s_%d-%d.svg</a>\n <br>\ |
prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>\n <br>\ |
<img src=\"%s_%d-%d.svg\">",cpt,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1); |
<img src=\"%s_%d-%d-%d.svg\">",cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres); |
} |
} |
fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
fprintf(fichtm,"\n<br>- Total life expectancy by age and \ |
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ |
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ |
true period expectancies (those weighted with period prevalences are also\ |
true period expectancies (those weighted with period prevalences are also\ |
drawn in addition to the population based expectancies computed using\ |
drawn in addition to the population based expectancies computed using\ |
observed and cahotic prevalences: <a href=\"%s_%d.svg\">%s_%d.svg</a>\n<br>\ |
observed and cahotic prevalences: <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>\n<br>\ |
<img src=\"%s_%d.svg\">",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1); |
<img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres); |
/* } /\* end i1 *\/ */ |
/* } /\* end i1 *\/ */ |
}/* End k1 */ |
}/* End k1 */ |
|
}/* End nres */ |
fprintf(fichtm,"</ul>"); |
fprintf(fichtm,"</ul>"); |
fflush(fichtm); |
fflush(fichtm); |
} |
} |
Line 6312 void printinggnuplot(char fileresu[], ch
|
Line 6367 void printinggnuplot(char fileresu[], ch
|
continue; |
continue; |
} |
} |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1); |
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.svg\" \n",optionfilefiname,cpt,k1); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \n\ |
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); |
set ylabel \"Probability\" \n \ |
|
set ter svg size 640, 480\n \ |
|
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
|
|
|
for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
else 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+1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2==%d ? $4+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); |
for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
} |
} |
fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); |
fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2==%d ? $4-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); |
for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
else fprintf(ficgp," %%*lf (%%*lf)"); |
Line 6336 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6388 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%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:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); |
if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ |
/* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ |
/* fprintf(ficgp,",\"%s\" 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 */ |
fprintf(ficgp,",\"%s\" u ($2==%d ?$1:1/0):(",subdirf2(fileresu,"PLB_"),nres); /* Age is in 1, nres in 2 to be fixed */ |
if(cptcoveff ==0){ |
if(cptcoveff ==0){ |
fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 2+(cpt-1), cpt ); |
fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 2+(cpt-1), cpt ); |
}else{ |
}else{ |
Line 6393 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6445 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
continue; |
continue; |
} |
} |
|
|
fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1); |
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*/ |
for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ |
if(vpopbased==0) |
if(vpopbased==0) |
fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); |
fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); |
Line 6431 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6483 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
/*3eme*/ |
/*3eme*/ |
for (k1=1; k1<= m ; k1 ++){ |
for (k1=1; k1<= m ; k1 ++){ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
for(nres=1; nres <= nresult; nres++){ /* For each resultline */ |
if(TKresult[nres]!= k) |
if(TKresult[nres]!= k1) |
continue; |
continue; |
|
|
for (cpt=1; cpt<= nlstate ; cpt ++) { |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
Line 6455 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6507 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
|
|
/* k=2+nlstate*(2*cpt-2); */ |
/* k=2+nlstate*(2*cpt-2); */ |
k=2+(nlstate+1)*(cpt-1); |
k=2+(nlstate+1)*(cpt-1); |
fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); |
fprintf(ficgp,"set ter svg size 640, 480\n\ |
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_"),k1-1,k1-1,k,cpt); |
/*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
/*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); |
Line 6501 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 6553 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
continue; |
continue; |
} |
} |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
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); |
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); |
k=3; |
k=3; |
Line 6547 set ter svg size 640, 480\nunset log y\n
|
Line 6599 set ter svg size 640, 480\nunset log y\n
|
continue; |
continue; |
} |
} |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
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); |
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); |
k=3; |
k=3; |
Line 6602 set ter svg size 640, 480\nunset log y\n
|
Line 6654 set ter svg size 640, 480\nunset log y\n
|
continue; |
continue; |
} |
} |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); |
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); |
k=3; /* Offset */ |
k=3; /* Offset */ |
Line 6648 set ter svg size 640, 480\nunset log y\n
|
Line 6700 set ter svg size 640, 480\nunset log y\n
|
continue; |
continue; |
} |
} |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); |
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); |
k=3; /* Offset */ |
k=3; /* Offset */ |
Line 6700 set ter svg size 640, 480\nunset log y\n
|
Line 6752 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,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ |
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); |
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 */ |
Line 6816 set ter svg size 640, 480\nunset log y\n
|
Line 6868 set ter svg size 640, 480\nunset log y\n
|
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); |
} |
} |
fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\n#\n"); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng); |
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng,nres); |
fprintf(ficgp,"\nset ter svg size 640, 480 "); |
fprintf(ficgp,"\nset ter svg size 640, 480 "); |
if (ng==1){ |
if (ng==1){ |
fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */ |
fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */ |
Line 7791 int readdata(char datafile[], int firsto
|
Line 7843 int readdata(char datafile[], int firsto
|
/*-------- data file ----------*/ |
/*-------- data file ----------*/ |
FILE *fic; |
FILE *fic; |
char dummy[]=" "; |
char dummy[]=" "; |
int i=0, j=0, n=0, iv=0; |
int i=0, j=0, n=0, iv=0, v; |
int lstra; |
int lstra; |
int linei, month, year,iout; |
int linei, month, year,iout; |
char line[MAXLINE], linetmp[MAXLINE]; |
char line[MAXLINE], linetmp[MAXLINE]; |
char stra[MAXLINE], strb[MAXLINE]; |
char stra[MAXLINE], strb[MAXLINE]; |
char *stratrunc; |
char *stratrunc; |
|
|
|
DummyV=ivector(1,NCOVMAX); /* 1 to 3 */ |
|
FixedV=ivector(1,NCOVMAX); /* 1 to 3 */ |
|
|
|
for(v=1; v <=ncovcol;v++){ |
|
DummyV[v]=0; |
|
FixedV[v]=0; |
|
} |
|
for(v=ncovcol+1; v <=ncovcol+nqv;v++){ |
|
DummyV[v]=1; |
|
FixedV[v]=0; |
|
} |
|
for(v=ncovcol+nqv+1; v <=ncovcol+nqv+ntv;v++){ |
|
DummyV[v]=0; |
|
FixedV[v]=1; |
|
} |
|
for(v=ncovcol+nqv+ntv+1; v <=ncovcol+nqv+ntv+nqtv;v++){ |
|
DummyV[v]=1; |
|
FixedV[v]=1; |
|
} |
|
for(v=1; v <=ncovcol+nqv+ntv+nqtv;v++){ |
|
printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
|
fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
|
} |
|
|
if((fic=fopen(datafile,"r"))==NULL) { |
if((fic=fopen(datafile,"r"))==NULL) { |
printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); |
Line 8419 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 8493 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ |
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); |
|
for(k=1;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;} |
for(v=1; v <=ncovcol;v++){ |
|
DummyV[v]=0; |
|
FixedV[v]=0; |
|
} |
|
for(v=ncovcol+1; v <=ncovcol+nqv;v++){ |
|
DummyV[v]=1; |
|
FixedV[v]=0; |
|
} |
|
for(v=ncovcol+nqv+1; v <=ncovcol+nqv+ntv;v++){ |
|
DummyV[v]=0; |
|
FixedV[v]=1; |
|
} |
|
for(v=ncovcol+nqv+ntv+1; v <=ncovcol+nqv+ntv+nqtv;v++){ |
|
DummyV[v]=1; |
|
FixedV[v]=1; |
|
} |
|
for(v=1; v <=ncovcol+nqv+ntv+nqtv;v++){ |
|
printf("Decodemodel: V%d, Dummy(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
|
fprintf(ficlog,"Decodemodel: V%d, Dummy(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); |
|
} |
|
for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ |
if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ |
if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ |
Fixed[k]= 0; |
Fixed[k]= 0; |
Line 8464 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 8518 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ |
}else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){ /* Remind that product Vn*Vm are added in k*/ /* Only simple fixed quantitative variable */ |
}else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){/* Remind that product Vn*Vm are added in k Only simple fixed quantitative variable */ |
Fixed[k]= 0; |
Fixed[k]= 0; |
Dummy[k]= 1; |
Dummy[k]= 1; |
nqfveff++; |
nqfveff++; |
Line 8517 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
Line 8571 Dummy[k] 0=dummy (0 1), 1 quantitative (
|
TvarA[ncova]=Tvar[k]; |
TvarA[ncova]=Tvar[k]; |
TvarAind[ncova]=k; |
TvarAind[ncova]=k; |
if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ |
if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ |
Fixed[k]= 2; |
Fixed[k]= 2; |
Dummy[k]= 2; |
Dummy[k]= 2; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APFD; |
modell[k].subtype= APFD; |
/* ncoveff++; */ |
/* ncoveff++; */ |
}else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ |
}else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ |
Fixed[k]= 2; |
Fixed[k]= 2; |
Dummy[k]= 3; |
Dummy[k]= 3; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APFQ; /* Product age * fixed quantitative */ |
modell[k].subtype= APFQ; /* Product age * fixed quantitative */ |
/* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ |
/* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv ){ |
}else if( Tvar[k] <=ncovcol+nqv+ntv ){ |
Fixed[k]= 3; |
Fixed[k]= 3; |
Dummy[k]= 2; |
Dummy[k]= 2; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APVD; /* Product age * varying dummy */ |
modell[k].subtype= APVD; /* Product age * varying dummy */ |
/* ntveff++; /\* Only simple time varying dummy variable *\/ */ |
/* ntveff++; /\* Only simple time varying dummy variable *\/ */ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 3; |
Fixed[k]= 3; |
Dummy[k]= 3; |
Dummy[k]= 3; |
modell[k].maintype= ATYPE; |
modell[k].maintype= ATYPE; |
modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
modell[k].subtype= APVQ; /* Product age * varying quantitative */ |
/* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
/* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ |
} |
} |
}else if (Typevar[k] == 2) { /* product without age */ |
}else if (Typevar[k] == 2) { /* product without age */ |
k1=Tposprod[k]; |
k1=Tposprod[k]; |
if(Tvard[k1][1] <=ncovcol){ |
if(Tvard[k1][1] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ |
modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ |
ncovf++; /* Fixed variables without age */ |
ncovf++; /* Fixed variables without age */ |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* or 2 ?*/ |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ |
ncovf++; /* Varying variables without age */ |
ncovf++; /* Varying variables without age */ |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ |
modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else if(Tvard[k1][1] <=ncovcol+nqv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 0; /* or 2 ?*/ |
Fixed[k]= 0; /* or 2 ?*/ |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= FTYPE; |
modell[k].maintype= FTYPE; |
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ |
ncovf++; /* Fixed variables without age */ |
ncovf++; /* Fixed variables without age */ |
TvarF[ncovf]=Tvar[k]; |
TvarF[ncovf]=Tvar[k]; |
TvarFind[ncovf]=k; |
TvarFind[ncovf]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ |
modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ |
modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ |
modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ |
modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 0; |
Dummy[k]= 0; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ |
modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ |
modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ |
if(Tvard[k1][2] <=ncovcol){ |
if(Tvard[k1][2] <=ncovcol){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ |
modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ |
modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ |
modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ |
Fixed[k]= 1; |
Fixed[k]= 1; |
Dummy[k]= 1; |
Dummy[k]= 1; |
modell[k].maintype= VTYPE; |
modell[k].maintype= VTYPE; |
modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ |
modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ |
ncovv++; /* Varying variables without age */ |
ncovv++; /* Varying variables without age */ |
TvarV[ncovv]=Tvar[k]; |
TvarV[ncovv]=Tvar[k]; |
TvarVind[ncovv]=k; |
TvarVind[ncovv]=k; |
} |
} |
}else{ |
}else{ |
printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]); |
} /* end k1 */ |
} /*end k1*/ |
}else{ |
}else{ |
printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); |
Line 10009 Please run with mle=-1 to get a correct
|
Line 10063 Please run with mle=-1 to get a correct
|
Typevar=ivector(-1,NCOVMAX); /* -1 to 2 */ |
Typevar=ivector(-1,NCOVMAX); /* -1 to 2 */ |
Fixed=ivector(-1,NCOVMAX); /* -1 to 3 */ |
Fixed=ivector(-1,NCOVMAX); /* -1 to 3 */ |
Dummy=ivector(-1,NCOVMAX); /* -1 to 3 */ |
Dummy=ivector(-1,NCOVMAX); /* -1 to 3 */ |
DummyV=ivector(1,NCOVMAX); /* 1 to 3 */ |
|
FixedV=ivector(1,NCOVMAX); /* 1 to 3 */ |
|
/* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
/* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). |
For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, |
Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. |
Line 10828 Please run with mle=-1 to get a correct
|
Line 10880 Please run with mle=-1 to get a correct
|
}else |
}else |
break; |
break; |
} |
} |
|
if (!feof(ficpar)) |
while((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){ |
while((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){ |
if (num_filled == 0) |
if (num_filled == 0){ |
resultline[0]='\0'; |
resultline[0]='\0'; |
else if (num_filled != 1){ |
break; |
|
} else if (num_filled != 1){ |
printf("ERROR %d: result line should be at minimum 'result=' %s\n",num_filled, line); |
printf("ERROR %d: result line should be at minimum 'result=' %s\n",num_filled, line); |
} |
} |
nresult++; /* Sum of resultlines */ |
nresult++; /* Sum of resultlines */ |
Line 10861 Please run with mle=-1 to get a correct
|
Line 10915 Please run with mle=-1 to get a correct
|
break; |
break; |
else{ /* Processess output results for this combination of covariate values */ |
else{ /* Processess output results for this combination of covariate values */ |
} |
} |
} |
} /* end while */ |
|
|
|
|
|
|