--- imach/src/imach.c 2016/08/22 06:55:53 1.230 +++ imach/src/imach.c 2016/09/02 11:11:21 1.247 @@ -1,6 +1,59 @@ -/* $Id: imach.c,v 1.230 2016/08/22 06:55:53 brouard Exp $ +/* $Id: imach.c,v 1.247 2016/09/02 11:11:21 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + Revision 1.247 2016/09/02 11:11:21 brouard + *** empty log message *** + + Revision 1.246 2016/09/02 08:49:22 brouard + *** empty log message *** + + Revision 1.245 2016/09/02 07:25:01 brouard + *** empty log message *** + + Revision 1.244 2016/09/02 07:17:34 brouard + *** empty log message *** + + Revision 1.243 2016/09/02 06:45:35 brouard + *** empty log message *** + + Revision 1.242 2016/08/30 15:01:20 brouard + Summary: Fixing a lots + + Revision 1.241 2016/08/29 17:17:25 brouard + Summary: gnuplot problem in Back projection to fix + + Revision 1.240 2016/08/29 07:53:18 brouard + Summary: Better + + Revision 1.239 2016/08/26 15:51:03 brouard + Summary: Improvement in Powell output in order to copy and paste + + Author: + + Revision 1.238 2016/08/26 14:23:35 brouard + Summary: Starting tests of 0.99 + + Revision 1.237 2016/08/26 09:20:19 brouard + Summary: to valgrind + + Revision 1.236 2016/08/25 10:50:18 brouard + *** empty log message *** + + Revision 1.235 2016/08/25 06:59:23 brouard + *** empty log message *** + + Revision 1.234 2016/08/23 16:51:20 brouard + *** empty log message *** + + Revision 1.233 2016/08/23 07:40:50 brouard + Summary: not working + + Revision 1.232 2016/08/22 14:20:21 brouard + Summary: not working + + Revision 1.231 2016/08/22 07:17:15 brouard + Summary: not working + Revision 1.230 2016/08/22 06:55:53 brouard Summary: Not working @@ -890,12 +943,12 @@ typedef struct { #define ODIRSEPARATOR '\\' #endif -/* $Id: imach.c,v 1.230 2016/08/22 06:55:53 brouard Exp $ */ +/* $Id: imach.c,v 1.247 2016/09/02 11:11:21 brouard Exp $ */ /* $State: Exp $ */ #include "version.h" char version[]=__IMACH_VERSION__; char copyright[]="February 2016,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2018"; -char fullversion[]="$Revision: 1.230 $ $Date: 2016/08/22 06:55:53 $"; +char fullversion[]="$Revision: 1.247 $ $Date: 2016/09/02 11:11:21 $"; char strstart[80]; char optionfilext[10], optionfilefiname[FILENAMELENGTH]; int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ @@ -908,7 +961,12 @@ int cptcovsnq=0; /**< cptcovsnq number o int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ int cptcovprodnoage=0; /**< Number of covariate products without age */ int cptcoveff=0; /* Total number of covariates to vary for printing results */ -int ncoveff=0; /* Total number of effective covariates in the model */ +int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ +int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ +int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ +int nsd=0; /**< Total number of single dummy variables (output) */ +int nsq=0; /**< Total number of single quantitative variables (output) */ +int ncoveff=0; /* Total number of effective fixed dummy covariates in the model */ int nqfveff=0; /**< nqfveff Number of Quantitative Fixed Variables Effective */ int ntveff=0; /**< ntveff number of effective time varying variables */ int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ @@ -965,6 +1023,7 @@ char fileresv[FILENAMELENGTH]; FILE *ficresvpl; char fileresvpl[FILENAMELENGTH]; char title[MAXLINE]; +char model[MAXLINE]; /**< The model line */ char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH], fileresplb[FILENAMELENGTH]; char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH]; char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH]; @@ -1002,7 +1061,8 @@ double dval; #define FTOL 1.0e-10 #define NRANSI -#define ITMAX 200 +#define ITMAX 200 +#define ITPOWMAX 20 /* This is now multiplied by the number of parameters */ #define TOL 2.0e-4 @@ -1064,11 +1124,62 @@ double ***cotvar; /* Time varying covari double ***cotqvar; /* Time varying quantitative covariate itqv */ double idx; int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ +/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +/*k 1 2 3 4 5 6 7 8 9 */ +/*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ +/* Tndvar[k] 1 2 3 4 5 */ +/*TDvar 4 3 6 7 1 */ /* For outputs only; combination of dummies fixed or varying */ +/* Tns[k] 1 2 2 4 5 */ /* Number of single cova */ +/* TvarsD[k] 1 2 3 */ /* Number of single dummy cova */ +/* TvarsDind 2 3 9 */ /* position K of single dummy cova */ +/* TvarsQ[k] 1 2 */ /* Number of single quantitative cova */ +/* TvarsQind 1 6 */ /* position K of single quantitative cova */ +/* Tprod[i]=k 4 7 */ +/* Tage[i]=k 5 8 */ +/* */ +/* Type */ +/* V 1 2 3 4 5 */ +/* F F V V V */ +/* D Q D D Q */ +/* */ +int *TvarsD; +int *TvarsDind; +int *TvarsQ; +int *TvarsQind; + +#define MAXRESULTLINES 10 +int nresult=0; +int TKresult[MAXRESULTLINES]; +int Tresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ +int Tinvresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ +int Tvresult[MAXRESULTLINES][NCOVMAX]; /* For dummy variable , variable # (output) */ +double Tqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ +double Tqinvresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ +int Tvqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , variable # (output) */ + +/* int *TDvar; /\**< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ +int *TvarF; /**< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarV; /**< TvarV[1]=Tvar[1]=5, TvarV[2]=Tvar[2]=4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarVind; /**< TvarVind[1]=1, TvarVind[2]=2 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarA; /**< TvarA[1]=Tvar[5]=5, TvarA[2]=Tvar[8]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarAind; /**< TvarindA[1]=5, TvarAind[2]=8 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFD; /**< TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFDind; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFQ; /* TvarFQ[1]=V2 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarFQind; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ +int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + int *Tvarsel; /**< Selected covariates for output */ double *Tvalsel; /**< Selected modality value of covariate for output */ int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ int *Fixed; /** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ int *Dummy; /** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ +int *DummyV; /** Dummy[v] 0=dummy (0 1), 1 quantitative */ +int *FixedV; /** FixedV[v] 0 fixed, 1 varying */ int *Tage; int anyvaryingduminmodel=0; /**< Any varying dummy in Model=1 yes, 0 no, to avoid a loop on waves in freq */ int *Tmodelind; /** Tmodelind[Tvaraff[3]]=9 for V1 position,Tvaraff[1]@9={4, 3, 1, 0, 0, 0, 0, 0, 0}, model=V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1*/ @@ -1078,14 +1189,40 @@ int *Ndum; /** Freq of modality (tricode /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ int **Tvard; int *Tprod;/**< Gives the k position of the k1 product */ +/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 */ int *Tposprod; /**< Gives the k1 product from the k position */ -/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 - if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2) - Tposprod[k]=k1 , Tposprod[3]=1, Tposprod[5]=2 -*/ + /* if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2) */ + /* Tposprod[k]=k1 , Tposprod[3]=1, Tposprod[5(V3*V2)]=2 (2nd product without age) */ int cptcovprod, *Tvaraff, *invalidvarcomb; double *lsurv, *lpop, *tpop; +#define FD 1; /* Fixed dummy covariate */ +#define FQ 2; /* Fixed quantitative covariate */ +#define FP 3; /* Fixed product covariate */ +#define FPDD 7; /* Fixed product dummy*dummy covariate */ +#define FPDQ 8; /* Fixed product dummy*quantitative covariate */ +#define FPQQ 9; /* Fixed product quantitative*quantitative covariate */ +#define VD 10; /* Varying dummy covariate */ +#define VQ 11; /* Varying quantitative covariate */ +#define VP 12; /* Varying product covariate */ +#define VPDD 13; /* Varying product dummy*dummy covariate */ +#define VPDQ 14; /* Varying product dummy*quantitative covariate */ +#define VPQQ 15; /* Varying product quantitative*quantitative covariate */ +#define APFD 16; /* Age product * fixed dummy covariate */ +#define APFQ 17; /* Age product * fixed quantitative covariate */ +#define APVD 18; /* Age product * varying dummy covariate */ +#define APVQ 19; /* Age product * varying quantitative covariate */ + +#define FTYPE 1; /* Fixed covariate */ +#define VTYPE 2; /* Varying covariate (loop in wave) */ +#define ATYPE 2; /* Age product covariate (loop in dh within wave)*/ + +struct kmodel{ + int maintype; /* main type */ + int subtype; /* subtype */ +}; +struct kmodel modell[NCOVMAX]; + double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ double ftolhess; /**< Tolerance for computing hessian */ @@ -1281,7 +1418,7 @@ int nbocc(char *s, char occ) i=0; lg=strlen(s); for(i=0; i<= lg; i++) { - if (s[i] == occ ) j++; + if (s[i] == occ ) j++; } return j; } @@ -1954,10 +2091,10 @@ void powell(double p[], double **xi, int void linmin(double p[], double xi[], int n, double *fret, double (*func)(double [])); #else - void linmin(double p[], double xi[], int n, double *fret, - double (*func)(double []),int *flat); + void linmin(double p[], double xi[], int n, double *fret, + double (*func)(double []),int *flat); #endif - int i,ibig,j; + int i,ibig,j,jk,k; double del,t,*pt,*ptt,*xit; double directest; double fp,fptt; @@ -1989,31 +2126,64 @@ void powell(double p[], double **xi, int 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); */ for (i=1;i<=n;i++) { - printf(" %d %.12f",i, p[i]); - fprintf(ficlog," %d %.12lf",i, p[i]); fprintf(ficrespow," %.12lf", p[i]); } + fprintf(ficrespow,"\n");fflush(ficrespow); + printf("\n#model= 1 + age "); + fprintf(ficlog,"\n#model= 1 + age "); + if(nagesqr==1){ + printf(" + age*age "); + fprintf(ficlog," + age*age "); + } + for(j=1;j <=ncovmodel-2;j++){ + if(Typevar[j]==0) { + printf(" + V%d ",Tvar[j]); + fprintf(ficlog," + V%d ",Tvar[j]); + }else if(Typevar[j]==1) { + printf(" + V%d*age ",Tvar[j]); + fprintf(ficlog," + V%d*age ",Tvar[j]); + }else if(Typevar[j]==2) { + printf(" + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); + fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); + } + } printf("\n"); +/* printf("12 47.0114589 0.0154322 33.2424412 0.3279905 2.3731903 */ +/* 13 -21.5392400 0.1118147 1.2680506 1.2973408 -1.0663662 */ fprintf(ficlog,"\n"); - fprintf(ficrespow,"\n");fflush(ficrespow); - if(*iter <=3){ + for(i=1,jk=1; i <=nlstate; i++){ + for(k=1; k <=(nlstate+ndeath); k++){ + if (k != i) { + printf("%d%d ",i,k); + fprintf(ficlog,"%d%d ",i,k); + for(j=1; j <=ncovmodel; j++){ + printf("%12.7f ",p[jk]); + fprintf(ficlog,"%12.7f ",p[jk]); + jk++; + } + printf("\n"); + fprintf(ficlog,"\n"); + } + } + } + if(*iter <=3 && *iter >1){ tml = *localtime(&rcurr_time); strcpy(strcurr,asctime(&tml)); rforecast_time=rcurr_time; itmp = strlen(strcurr); 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); 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){ - rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time); - forecast_time = *localtime(&rforecast_time); - strcpy(strfor,asctime(&forecast_time)); - itmp = strlen(strfor); - if(strfor[itmp-1]=='\n') - 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); - 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); + rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time); + forecast_time = *localtime(&rforecast_time); + strcpy(strfor,asctime(&forecast_time)); + itmp = strlen(strfor); + if(strfor[itmp-1]=='\n') + 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); + 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 */ @@ -2067,7 +2237,8 @@ void powell(double p[], double **xi, int /* printf("\n"); */ /* fprintf(ficlog,"\n"); */ } - if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* Did we reach enough precision? */ + /* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */ + if (2.0*fabs(fp-(*fret)) <= ftol) { /* Did we reach enough precision? */ /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ /* By adding age*age in a model, the new -2LL should be lower and the difference follows a */ /* a chisquare statistics with 1 degree. To be significant at the 95% level, it should have */ @@ -2113,7 +2284,7 @@ void powell(double p[], double **xi, int free_vector(pt,1,n); return; } /* 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) */ ptt[j]=2.0*p[j]-pt[j]; xit[j]=p[j]-pt[j]; @@ -2172,87 +2343,89 @@ void powell(double p[], double **xi, int if (directest < 0.0) { /* Then we use it for new direction */ #endif #ifdef DEBUGLINMIN - printf("Before linmin in direction P%d-P0\n",n); - for (j=1;j<=n;j++) { - printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - if(j % ncovmodel == 0){ - printf("\n"); - fprintf(ficlog,"\n"); - } - } + printf("Before linmin in direction P%d-P0\n",n); + for (j=1;j<=n;j++) { + printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + if(j % ncovmodel == 0){ + printf("\n"); + fprintf(ficlog,"\n"); + } + } #endif #ifdef LINMINORIGINAL - linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ + linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ #else - linmin(p,xit,n,fret,func,&flat); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ - flatdir[i]=flat; /* Function is vanishing in that direction i */ + linmin(p,xit,n,fret,func,&flat); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ + flatdir[i]=flat; /* Function is vanishing in that direction i */ #endif - + #ifdef DEBUGLINMIN - for (j=1;j<=n;j++) { - printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - if(j % ncovmodel == 0){ - printf("\n"); - fprintf(ficlog,"\n"); - } - } + for (j=1;j<=n;j++) { + printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + if(j % ncovmodel == 0){ + printf("\n"); + fprintf(ficlog,"\n"); + } + } #endif - for (j=1;j<=n;j++) { - xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ - xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ - } + for (j=1;j<=n;j++) { + xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ + xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ + } #ifdef LINMINORIGINAL #else - for (j=1, flatd=0;j<=n;j++) { - if(flatdir[j]>0) - flatd++; - } - if(flatd >0){ - printf("%d flat directions\n",flatd); - fprintf(ficlog,"%d flat directions\n",flatd); - for (j=1;j<=n;j++) { - if(flatdir[j]>0){ - printf("%d ",j); - fprintf(ficlog,"%d ",j); - } - } - printf("\n"); - fprintf(ficlog,"\n"); - } + for (j=1, flatd=0;j<=n;j++) { + if(flatdir[j]>0) + flatd++; + } + if(flatd >0){ + printf("%d flat directions\n",flatd); + fprintf(ficlog,"%d flat directions\n",flatd); + for (j=1;j<=n;j++) { + if(flatdir[j]>0){ + printf("%d ",j); + fprintf(ficlog,"%d ",j); + } + } + printf("\n"); + fprintf(ficlog,"\n"); + } #endif - printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); - fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); - + printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); + fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); + #ifdef DEBUG - printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); - fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); - for(j=1;j<=n;j++){ - printf(" %lf",xit[j]); - fprintf(ficlog," %lf",xit[j]); - } - printf("\n"); - fprintf(ficlog,"\n"); + printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); + fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); + for(j=1;j<=n;j++){ + printf(" %lf",xit[j]); + fprintf(ficlog," %lf",xit[j]); + } + printf("\n"); + fprintf(ficlog,"\n"); #endif } /* end of t or directest negative */ #ifdef POWELLNOF3INFF1TEST #else - } /* end if (fptt < fp) */ + } /* end if (fptt < fp) */ #endif #ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ - } /*NODIRECTIONCHANGEDUNTILNITER No change in drections until some iterations are done */ + } /*NODIRECTIONCHANGEDUNTILNITER No change in drections until some iterations are done */ #else #endif - } /* loop iteration */ + } /* loop iteration */ } - + /**** Prevalence limit (stable or period prevalence) ****************/ - -double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij) -{ - /* Computes the prevalence limit in each live state at age x and for covariate ij by left multiplying the unit - matrix by transitions matrix until convergence is reached with precision ftolpl */ + + double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) + { + /* Computes the prevalence limit in each live state at age x and for covariate combination ij + (and selected quantitative values in nres) + by left multiplying the unit + matrix by transitions matrix until convergence is reached with precision ftolpl */ /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ /* Wx is row vector: population in state 1, population in state 2, population dead */ /* or prevalence in state 1, prevalence in state 2, 0 */ @@ -2270,7 +2443,7 @@ double **prevalim(double **prlim, int nl /* {0.51571254859325999, 0.4842874514067399, */ /* 0.51326036147820708, 0.48673963852179264} */ /* If we start from prlim again, prlim tends to a constant matrix */ - + int i, ii,j,k; double *min, *max, *meandiff, maxmax,sumnew=0.; /* double **matprod2(); */ /* test */ @@ -2300,19 +2473,40 @@ double **prevalim(double **prlim, int nl cov[2]=agefin; if(nagesqr==1) cov[3]= agefin*agefin;; - for (k=1; k<=cptcovn;k++) { - /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ - /* Here comes the value of the covariate 'ij' */ - cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; - /* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); */ - } - /*wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - /* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */ - for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; - for (k=1; k<=cptcovprod;k++) /* Useless */ - /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ - cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; - + for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ + /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ + cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; + /* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ + } + for (k=1; k<=nsq;k++) { /* For single varying covariates only */ + /* Here comes the value of quantitative after renumbering k with single quantitative covariates */ + cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; + /* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ + } + for (k=1; k<=cptcovage;k++){ /* For product with age */ + if(Dummy[Tvar[Tage[k]]]){ + cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; + } else{ + cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; + } + /* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ + } + for (k=1; k<=cptcovprod;k++){ /* For product without age */ + /* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ + if(Dummy[Tvard[k][1]==0]){ + if(Dummy[Tvard[k][2]==0]){ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; + }else{ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; + } + }else{ + if(Dummy[Tvard[k][2]==0]){ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; + }else{ + cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; + } + } + } /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ @@ -2370,7 +2564,7 @@ Earliest age to start was %d-%d=%d, ncvl /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ageminpar, double agemaxpar, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */ /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */ - double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ftolpl, int *ncvyear, int ij) + double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ftolpl, int *ncvyear, int ij, int nres) { /* Computes the prevalence limit in each live state at age x and covariate ij by left multiplying the unit matrix by transitions matrix until convergence is reached with precision ftolpl */ @@ -2393,6 +2587,7 @@ Earliest age to start was %d-%d=%d, ncvl /* If we start from prlim again, prlim tends to a constant matrix */ int i, ii,j,k; + int first=0; double *min, *max, *meandiff, maxmax,sumnew=0.; /* double **matprod2(); */ /* test */ double **out, cov[NCOVMAX+1], **bmij(); @@ -2429,17 +2624,49 @@ Earliest age to start was %d-%d=%d, ncvl cov[2]=agefin; if(nagesqr==1) cov[3]= agefin*agefin;; - for (k=1; k<=cptcovn;k++) { - /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ - cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; - /* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); */ + for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ + /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ + cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; + /* printf("bprevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ + } + /* for (k=1; k<=cptcovn;k++) { */ + /* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */ + /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ + /* /\* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); *\/ */ + /* } */ + for (k=1; k<=nsq;k++) { /* For single varying covariates only */ + /* Here comes the value of quantitative after renumbering k with single quantitative covariates */ + cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; + /* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ + } + /* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; */ + /* for (k=1; k<=cptcovprod;k++) /\* Useless *\/ */ + /* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; *\/ */ + /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; */ + for (k=1; k<=cptcovage;k++){ /* For product with age */ + if(Dummy[Tvar[Tage[k]]]){ + cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; + } else{ + cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; + } + /* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ + } + for (k=1; k<=cptcovprod;k++){ /* For product without age */ + /* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ + if(Dummy[Tvard[k][1]==0]){ + if(Dummy[Tvard[k][2]==0]){ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; + }else{ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; + } + }else{ + if(Dummy[Tvard[k][2]==0]){ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; + }else{ + cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; + } + } } - /*wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - /* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */ - for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; - for (k=1; k<=cptcovprod;k++) /* Useless */ - /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ - cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ @@ -2462,10 +2689,10 @@ Earliest age to start was %d-%d=%d, ncvl } for(j=1; j<=nlstate; j++){ for(i=1;i<=nlstate;i++){ - /* bprlim[i][j]= newm[i][j]/(1-sumnew); */ - bprlim[i][j]= newm[i][j]; - max[i]=FMAX(max[i],bprlim[i][j]); /* Max in line */ - min[i]=FMIN(min[i],bprlim[i][j]); + /* bprlim[i][j]= newm[i][j]/(1-sumnew); */ + bprlim[i][j]= newm[i][j]; + max[i]=FMAX(max[i],bprlim[i][j]); /* Max in line */ + min[i]=FMIN(min[i],bprlim[i][j]); } } @@ -2486,7 +2713,12 @@ Earliest age to start was %d-%d=%d, ncvl } } /* age loop */ /* After some age loop it doesn't converge */ - printf("Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\ + if(first){ + first=1; + printf("Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. Others in log file only...\n\ +Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear); + } + fprintf(ficlog,"Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\ Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear); /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ free_vector(min,1,nlstate); @@ -2619,7 +2851,8 @@ double **pmij(double **ps, double *cov, /* }else */ doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); }else{ - printf("ii=%d, i=%d, doldm=%lf dsavm=%lf, probs=%lf, sumnew=%lf,agefin=%d\n",ii,j,doldm[ii][j],dsavm[ii][j],prevacurrent[(int)agefin][ii][ij],sumnew, (int)agefin); + ; + /* printf("ii=%d, i=%d, doldm=%lf dsavm=%lf, probs=%lf, sumnew=%lf,agefin=%d\n",ii,j,doldm[ii][j],dsavm[ii][j],prevacurrent[(int)agefin][ii][ij],sumnew, (int)agefin); */ } } /*End ii */ } /* End j, At the end doldm is diag[1/(w_1p1i+w_2 p2i)] */ @@ -2660,81 +2893,81 @@ double **bpmij(double **ps, double *cov, /*double t34;*/ int i,j, nc, ii, jj; - for(i=1; i<= nlstate; i++){ - for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ - } - ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ - } - } - - for(i=1; i<= nlstate; i++){ - s1=0; - for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ - ps[i][i]=1./(s1+1.); - /* Computing other pijs */ - for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ + } + ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ + } + } + + for(i=1; i<= nlstate; i++){ + s1=0; + for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ + ps[i][i]=1./(s1+1.); + /* Computing other pijs */ + for(j=1; j 1 the results are less biased than in previous versions. - */ + * from savm to out if bh is negative or even beyond if bh is positive. bh varies + * -stepm/2 to stepm/2 . + * For stepm=1 the results are the same as for previous versions of Imach. + * For stepm > 1 the results are less biased than in previous versions. + */ s1=s[mw[mi][i]][i]; s2=s[mw[mi+1][i]][i]; bbh=(double)bh[mi][i]/(double)stepm; @@ -3312,28 +3554,48 @@ double funcone( double *x) for(k=1; k<=nlstate; k++) ll[k]=0.; ioffset=0; for (i=1,ipmx=0, sw=0.; i<=imx; i++){ - ioffset=2+nagesqr+cptcovage; + /* ioffset=2+nagesqr+cptcovage; */ + ioffset=2+nagesqr; + /* Fixed */ /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ - for (k=1; k<=ncoveff+nqfveff;k++){ /* Simple and product fixed Dummy covariates without age* products */ - cov[++ioffset]=covar[TvarFD[k]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ - } - for(iqv=1; iqv <= nqfveff; iqv++){ /* Quantitative fixed covariates */ - cov[++ioffset]=coqvar[Tvar[iqv]][i]; /* Only V1 k=9 */ + /* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ + for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ + cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ +/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ +/* cov[2+6]=covar[Tvar[6]][i]; */ +/* cov[2+6]=covar[2][i]; V2 */ +/* cov[TvarFind[2]]=covar[Tvar[TvarFind[2]]][i]; */ +/* cov[2+7]=covar[Tvar[7]][i]; */ +/* cov[2+7]=covar[7][i]; V7=V1*V2 */ +/* cov[TvarFind[3]]=covar[Tvar[TvarFind[3]]][i]; */ +/* cov[2+9]=covar[Tvar[9]][i]; */ +/* cov[2+9]=covar[1][i]; V1 */ } + /* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ + /* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V2 and V1*V2 is fixed (k=6 and 7?)*\/ */ + /* } */ + /* for(iqv=1; iqv <= nqfveff; iqv++){ /\* Quantitative fixed covariates *\/ */ + /* cov[++ioffset]=coqvar[Tvar[iqv]][i]; /\* Only V2 k=6 and V1*V2 7 *\/ */ + /* } */ + for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ - for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ - /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ - /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ - k=ioffset-2-nagesqr-cptcovage+itv; /* position in simple model */ - cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; - /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ - } - for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ - iv=TmodelInvQind[iqtv]; /* Counting the # varying covariate from 1 to ntveff */ - /* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); */ - cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; - } + /* Wave varying (but not age varying) */ + for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/ + /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */ + cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; + } + /* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */ + /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ + /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ + /* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */ + /* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */ + /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ + /* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ + /* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ + /* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ + /* cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; */ + /* } */ for (ii=1;ii<=nlstate+ndeath;ii++) for (j=1;j<=nlstate+ndeath;j++){ oldm[ii][j]=(ii==j ? 1.0 : 0.0); @@ -3343,15 +3605,19 @@ double funcone( double *x) agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ for(d=0; d=10 || firstime ==1){ - printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you may increase ftol=%.2e\n",thetai,thetaj, ftol); - fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you may increase ftol=%.2e\n",thetai,thetaj, ftol); + printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); + fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); } @@ -3943,7 +4209,7 @@ void freqsummary(char fileres[], int ia fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); exit(0); } - + strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); @@ -3953,43 +4219,42 @@ void freqsummary(char fileres[], int ia } else{ fprintf(ficresphtm,"\nIMaCh PHTM_ %s\n %s
%s \ -
\n\ +
\n \ Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\ fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); } - fprintf(ficresphtm,"Current page is file %s
\n\n

Frequencies and prevalence by age at begin of transition

\n",fileresphtm, fileresphtm); - + fprintf(ficresphtm,"Current page is file %s
\n\n

Frequencies and prevalence by age at begin of transition and dummy covariate value at beginning of transition

\n",fileresphtm, fileresphtm); + strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { 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)); fflush(ficlog); exit(70); - } - else{ + } else{ fprintf(ficresphtmfr,"\nIMaCh PHTM_Frequency table %s\n %s
%s \ -
\n\ +
\n \ Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\ fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); } - fprintf(ficresphtmfr,"Current page is file %s
\n\n

Frequencies of all effective transitions by age at begin of transition

Unknown status is -1
\n",fileresphtmfr, fileresphtmfr); - + fprintf(ficresphtmfr,"Current page is file %s
\n\n

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)

Unknown status is -1
\n",fileresphtmfr, fileresphtmfr); + freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); j1=0; /* j=ncoveff; /\* Only fixed dummy covariates *\/ */ j=cptcoveff; /* Only dummy covariates of the model */ if (cptcovn<1) {j=1;ncodemax[1]=1;} - + first=1; - + /* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: reference=low_education V1=0,V2=0 med_educ V1=1 V2=0, 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 */ - + 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.; /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); @@ -3998,7 +4263,7 @@ Title=%s
Datafile=%s Firstpass=%d La for (jk=-5; jk<=nlstate+ndeath; jk++) for(m=iagemin; m <= iagemax+3; m++) freq[i][jk][m]=0; - + for (i=1; i<=nlstate; i++) { for(m=iagemin; m <= iagemax+3; m++) prop[i][m]=0; @@ -4011,7 +4276,7 @@ Title=%s
Datafile=%s Firstpass=%d La /* meanqt[m][z1]=0.; */ /* } */ /* } */ - + dateintsum=0; k2cpt=0; /* For that combination of covariate j1, we count and print the frequencies in one pass */ @@ -4090,35 +4355,41 @@ Title=%s
Datafile=%s Firstpass=%d La } /* end iind = 1 to imx */ /* 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 */ - - + + /* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ pstamp(ficresp); - /* if (ncoveff>0) { */ - if (cptcoveff>0) { + if (cptcoveff>0){ fprintf(ficresp, "\n#********** Variable "); fprintf(ficresphtm, "\n

********** Variable "); fprintf(ficresphtmfr, "\n

********** Variable "); + fprintf(ficlog, "\n#********** Variable "); for (z1=1; z1<=cptcoveff; z1++){ - fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + if(DummyV[z1]){ + fprintf(ficresp, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtm, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtmfr, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficlog, "V%d (fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + }else{ + fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + } } fprintf(ficresp, "**********\n#"); fprintf(ficresphtm, "**********

\n"); fprintf(ficresphtmfr, "**********\n"); - fprintf(ficlog, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); fprintf(ficlog, "**********\n"); } fprintf(ficresphtm,""); 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, "",i,i); } fprintf(ficresp, "\n"); fprintf(ficresphtm, "\n"); - + /* Header of frequency table by age */ fprintf(ficresphtmfr,"
AgePrev(%d)N(%d)N
"); fprintf(ficresphtmfr," "); @@ -4129,7 +4400,7 @@ Title=%s
Datafile=%s Firstpass=%d La } } fprintf(ficresphtmfr, "\n"); - + /* For each age */ for(iage=iagemin; iage <= iagemax+3; iage++){ fprintf(ficresphtm,""); @@ -4168,13 +4439,13 @@ Title=%s
Datafile=%s Firstpass=%d La fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); } } - + for(jk=1; jk <=nlstate ; jk++){ /* posprop[jk]=0; */ for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ 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 */ - + for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){ 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 @@ -4255,7 +4526,7 @@ Title=%s
Datafile=%s Firstpass=%d La fprintf(ficresphtmfr,"
Age
\n"); } /* end selected combination of covariate j1 */ dateintmean=dateintsum/k2cpt; - + fclose(ficresp); fclose(ficresphtm); fclose(ficresphtmfr); @@ -4590,180 +4861,178 @@ void concatwav(int wav[], int **dh, int /*********** Tricode ****************************/ void tricode(int *cptcov, int *Tvar, int **nbcode, int imx, int *Ndum) -{ - /**< Uses cptcovn+2*cptcovprod as the number of covariates */ - /* Tvar[i]=atoi(stre); find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 - * Boring subroutine which should only output nbcode[Tvar[j]][k] - * Tvar[5] in V2+V1+V3*age+V2*V4 is 4 (V4) even it is a time varying or quantitative variable - * nbcode[Tvar[5]][1]= nbcode[4][1]=0, nbcode[4][2]=1 (usually); - */ + { + /**< Uses cptcovn+2*cptcovprod as the number of covariates */ + /* Tvar[i]=atoi(stre); find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 + * Boring subroutine which should only output nbcode[Tvar[j]][k] + * Tvar[5] in V2+V1+V3*age+V2*V4 is 4 (V4) even it is a time varying or quantitative variable + * nbcode[Tvar[5]][1]= nbcode[4][1]=0, nbcode[4][2]=1 (usually); + */ - int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX; - int modmaxcovj=0; /* Modality max of covariates j */ - int cptcode=0; /* Modality max of covariates j */ - int modmincovj=0; /* Modality min of covariates j */ + int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX; + int modmaxcovj=0; /* Modality max of covariates j */ + int cptcode=0; /* Modality max of covariates j */ + int modmincovj=0; /* Modality min of covariates j */ - /* cptcoveff=0; */ - /* *cptcov=0; */ + /* cptcoveff=0; */ + /* *cptcov=0; */ - for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ + for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ - /* Loop on covariates without age and products and no quantitative variable */ - /* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ - for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ - for (j=-1; (j < maxncov); j++) Ndum[j]=0; - if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ - switch(Fixed[k]) { - case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ - for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ - ij=(int)(covar[Tvar[k]][i]); - /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i - * If product of Vn*Vm, still boolean *: - * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables - * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ - /* Finds for covariate j, n=Tvar[j] of Vn . ij is the - modality of the nth covariate of individual i. */ - if (ij > modmaxcovj) - modmaxcovj=ij; - else if (ij < modmincovj) - modmincovj=ij; - if ((ij < -1) && (ij > NCOVMAX)){ - printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); - exit(1); - }else - Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ - /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ - /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ - /* getting the maximum value of the modality of the covariate - (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and - female ies 1, then modmaxcovj=1. - */ - } /* end for loop on individuals i */ - printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); - fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); - cptcode=modmaxcovj; - /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ - /*for (i=0; i<=cptcode; i++) {*/ - for (j=modmincovj; j<=modmaxcovj; j++) { /* j=-1 ? 0 and 1*//* For each value j of the modality of model-cov k */ - printf("Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); - fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); - if( Ndum[j] != 0 ){ /* Counts if nobody answered modality j ie empty modality, we skip it and reorder */ - if( j != -1){ - ncodemax[k]++; /* ncodemax[k]= Number of modalities of the k th - covariate for which somebody answered excluding - undefined. Usually 2: 0 and 1. */ - } - ncodemaxwundef[k]++; /* ncodemax[j]= Number of modalities of the k th - covariate for which somebody answered including - undefined. Usually 3: -1, 0 and 1. */ - } - /* In fact ncodemax[k]=2 (dichotom. variables only) but it could be more for - * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ - } /* Ndum[-1] number of undefined modalities */ - - /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ - /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. - If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; - modmincovj=3; modmaxcovj = 7; - There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; - which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; - defining two dummy variables: variables V1_1 and V1_2. - nbcode[Tvar[j]][ij]=k; - nbcode[Tvar[j]][1]=0; - nbcode[Tvar[j]][2]=1; - nbcode[Tvar[j]][3]=2; - To be continued (not working yet). - */ - ij=0; /* ij is similar to i but can jump over null modalities */ - for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ - if (Ndum[i] == 0) { /* If nobody responded to this modality k */ - break; - } - ij++; - nbcode[Tvar[k]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1*/ - cptcode = ij; /* New max modality for covar j */ - } /* end of loop on modality i=-1 to 1 or more */ - break; - case 1: /* Testing on varying covariate, could be simple and - * should look at waves or product of fixed * - * varying. No time to test -1, assuming 0 and 1 only */ - ij=0; - for(i=0; i<=1;i++){ - nbcode[Tvar[k]][++ij]=i; - } - break; - default: - break; - } /* end switch */ - } /* end dummy test */ - - /* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ - /* /\*recode from 0 *\/ */ - /* k is a modality. If we have model=V1+V1*sex */ - /* then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */ - /* But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode *\/ */ - /* } */ - /* /\* cptcode = ij; *\/ /\* New max modality for covar j *\/ */ - /* if (ij > ncodemax[j]) { */ - /* printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ - /* fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ - /* break; */ - /* } */ - /* } /\* end of loop on modality k *\/ */ - } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ - - for (k=-1; k< maxncov; k++) Ndum[k]=0; - /* Look at fixed dummy (single or product) covariates to check empty modalities */ - for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ - /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ - ij=Tvar[i]; /* Tvar 5,4,3,6,5,7,1,4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V4*age */ - Ndum[ij]++; /* Count the # of 1, 2 etc: {1,1,1,2,2,1,1} because V1 once, V2 once, two V4 and V5 in above */ - /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, {2, 1, 1, 1, 2, 1, 1, 0, 0} */ - } /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */ - - ij=0; - /* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ - for (k=1; k<= cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ - /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ - /* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ - if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy and non empty in the model */ - /* If product not in single variable we don't print results */ - /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ - ++ij;/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */ - Tvaraff[ij]=Tvar[k]; /* For printing combination *//* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/ - Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */ - TmodelInvind[k]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */ - if(Fixed[k]!=0) - anyvaryingduminmodel=1; - /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ */ - /* Tvaraff[++ij]=-10; /\* Dont'n know how to treat quantitative variables yet *\/ */ - /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ */ - /* Tvaraff[++ij]=i; /\*For printing (unclear) *\/ */ - /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ */ - /* Tvaraff[++ij]=-20; /\* Dont'n know how to treat quantitative variables yet *\/ */ - } - } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ - /* ij--; */ - /* cptcoveff=ij; /\*Number of total covariates*\/ */ - *cptcov=ij; /*Number of total real effective covariates: effective - * because they can be excluded from the model and real - * if in the model but excluded because missing values, but how to get k from ij?*/ - for(j=ij+1; j<= cptcovt; j++){ - Tvaraff[j]=0; - Tmodelind[j]=0; - } - for(j=ntveff+1; j<= cptcovt; j++){ - TmodelInvind[j]=0; - } - /* To be sorted */ - ; -} + /* Loop on covariates without age and products and no quantitative variable */ + /* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ + for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ + for (j=-1; (j < maxncov); j++) Ndum[j]=0; + if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ + switch(Fixed[k]) { + case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ + for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ + ij=(int)(covar[Tvar[k]][i]); + /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i + * If product of Vn*Vm, still boolean *: + * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables + * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ + /* Finds for covariate j, n=Tvar[j] of Vn . ij is the + modality of the nth covariate of individual i. */ + if (ij > modmaxcovj) + modmaxcovj=ij; + else if (ij < modmincovj) + modmincovj=ij; + if ((ij < -1) && (ij > NCOVMAX)){ + printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); + exit(1); + }else + Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ + /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ + /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ + /* getting the maximum value of the modality of the covariate + (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and + female ies 1, then modmaxcovj=1. + */ + } /* end for loop on individuals i */ + printf(" Minimal and maximal values of %d th (fixed) covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); + fprintf(ficlog," Minimal and maximal values of %d th (fixed) covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); + cptcode=modmaxcovj; + /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ + /*for (i=0; i<=cptcode; i++) {*/ + for (j=modmincovj; j<=modmaxcovj; j++) { /* j=-1 ? 0 and 1*//* For each value j of the modality of model-cov k */ + printf("Frequencies of (fixed) covariate %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); + fprintf(ficlog, "Frequencies of (fixed) covariate %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); + if( Ndum[j] != 0 ){ /* Counts if nobody answered modality j ie empty modality, we skip it and reorder */ + if( j != -1){ + ncodemax[k]++; /* ncodemax[k]= Number of modalities of the k th + covariate for which somebody answered excluding + undefined. Usually 2: 0 and 1. */ + } + ncodemaxwundef[k]++; /* ncodemax[j]= Number of modalities of the k th + covariate for which somebody answered including + undefined. Usually 3: -1, 0 and 1. */ + } /* In fact ncodemax[k]=2 (dichotom. variables only) but it could be more for + * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ + } /* Ndum[-1] number of undefined modalities */ + + /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ + /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. */ + /* If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; */ + /* modmincovj=3; modmaxcovj = 7; */ + /* There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; */ + /* which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; */ + /* defining two dummy variables: variables V1_1 and V1_2.*/ + /* nbcode[Tvar[j]][ij]=k; */ + /* nbcode[Tvar[j]][1]=0; */ + /* nbcode[Tvar[j]][2]=1; */ + /* nbcode[Tvar[j]][3]=2; */ + /* To be continued (not working yet). */ + ij=0; /* ij is similar to i but can jump over null modalities */ + for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ + if (Ndum[i] == 0) { /* If nobody responded to this modality k */ + break; + } + ij++; + nbcode[Tvar[k]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1*/ + cptcode = ij; /* New max modality for covar j */ + } /* end of loop on modality i=-1 to 1 or more */ + break; + case 1: /* Testing on varying covariate, could be simple and + * should look at waves or product of fixed * + * varying. No time to test -1, assuming 0 and 1 only */ + ij=0; + for(i=0; i<=1;i++){ + nbcode[Tvar[k]][++ij]=i; + } + break; + default: + break; + } /* end switch */ + } /* end dummy test */ + + /* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ + /* /\*recode from 0 *\/ */ + /* k is a modality. If we have model=V1+V1*sex */ + /* then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */ + /* But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode *\/ */ + /* } */ + /* /\* cptcode = ij; *\/ /\* New max modality for covar j *\/ */ + /* if (ij > ncodemax[j]) { */ + /* printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ + /* fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ + /* break; */ + /* } */ + /* } /\* end of loop on modality k *\/ */ + } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ + + for (k=-1; k< maxncov; k++) Ndum[k]=0; + /* Look at fixed dummy (single or product) covariates to check empty modalities */ + for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ + /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ + ij=Tvar[i]; /* Tvar 5,4,3,6,5,7,1,4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V4*age */ + Ndum[ij]++; /* Count the # of 1, 2 etc: {1,1,1,2,2,1,1} because V1 once, V2 once, two V4 and V5 in above */ + /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, {2, 1, 1, 1, 2, 1, 1, 0, 0} */ + } /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */ + + ij=0; + /* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ + for (k=1; k<= cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ + /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ + /* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ + if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy and non empty in the model */ + /* If product not in single variable we don't print results */ + /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ + ++ij;/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */ + Tvaraff[ij]=Tvar[k]; /* For printing combination *//* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/ + Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */ + TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */ + if(Fixed[k]!=0) + anyvaryingduminmodel=1; + /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ */ + /* Tvaraff[++ij]=-10; /\* Dont'n know how to treat quantitative variables yet *\/ */ + /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ */ + /* Tvaraff[++ij]=i; /\*For printing (unclear) *\/ */ + /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ */ + /* Tvaraff[++ij]=-20; /\* Dont'n know how to treat quantitative variables yet *\/ */ + } + } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ + /* ij--; */ + /* cptcoveff=ij; /\*Number of total covariates*\/ */ + *cptcov=ij; /*Number of total real effective covariates: effective + * because they can be excluded from the model and real + * if in the model but excluded because missing values, but how to get k from ij?*/ + for(j=ij+1; j<= cptcovt; j++){ + Tvaraff[j]=0; + Tmodelind[j]=0; + } + for(j=ntveff+1; j<= cptcovt; j++){ + TmodelInvind[j]=0; + } + /* To be sorted */ + ; + } /*********** Health Expectancies ****************/ -void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] ) + void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[], int nres ) { /* Health expectancies, no variances */ @@ -4773,7 +5042,7 @@ void evsij(double ***eij, double x[], in double ***p3mat; double eip; - pstamp(ficreseij); + /* pstamp(ficreseij); */ fprintf(ficreseij,"# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age\n"); fprintf(ficreseij,"# Age"); for(i=1; i<=nlstate;i++){ @@ -4836,7 +5105,7 @@ void evsij(double ***eij, double x[], in /* Computed by stepm unit matrices, product of hstepma matrices, stored in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */ - hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij); + hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres); hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ @@ -4871,7 +5140,7 @@ void evsij(double ***eij, double x[], in } -void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[] ) + void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[], int nres ) { /* Covariances of health expectancies eij and of total life expectancies according @@ -4984,8 +5253,8 @@ void cvevsij(double ***eij, double x[], xp[i] = x[i] + (i==theta ?delti[theta]:0); xm[i] = x[i] - (i==theta ?delti[theta]:0); } - hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij); - hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij); + hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij, nres); + hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij, nres); for(j=1; j<= nlstate; j++){ for(i=1; i<=nlstate; i++){ @@ -5026,7 +5295,7 @@ void cvevsij(double ***eij, double x[], } /* Computing expectancies */ - hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij); + hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++) for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){ @@ -5081,7 +5350,7 @@ void cvevsij(double ***eij, double x[], } /************ Variance ******************/ - void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[]) + void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[], int nres) { /* Variance of health expectancies */ /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/ @@ -5138,6 +5407,14 @@ void cvevsij(double ***eij, double x[], fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev); pstamp(ficresprobmorprev); fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm); + fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies"); + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + for(j=1;j<=cptcoveff;j++) + fprintf(ficresprobmorprev,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,j)]); + fprintf(ficresprobmorprev,"\n"); + fprintf(ficresprobmorprev,"# Age cov=%-d",ij); for(j=nlstate+1; j<=(nlstate+ndeath);j++){ fprintf(ficresprobmorprev," p.%-d SE",j); @@ -5207,7 +5484,7 @@ void cvevsij(double ***eij, double x[], xp[i] = x[i] + (i==theta ?delti[theta]:0); } - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij, nres); if (popbased==1) { if(mobilav ==0){ @@ -5219,7 +5496,7 @@ void cvevsij(double ***eij, double x[], } } - hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); /* Returns p3mat[i][j][h] for h=1 to nhstepm */ + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); /* Returns p3mat[i][j][h] for h=1 to nhstepm */ for(j=1; j<= nlstate; j++){ for(h=0; h<=nhstepm; h++){ for(i=1, gp[h][j]=0.;i<=nlstate;i++) @@ -5239,7 +5516,7 @@ void cvevsij(double ***eij, double x[], for(i=1; i<=npar; i++) /* Computes gradient x - delta */ xp[i] = x[i] - (i==theta ?delti[theta]:0); - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij, nres); if (popbased==1) { if(mobilav ==0){ @@ -5251,7 +5528,7 @@ void cvevsij(double ***eij, double x[], } } - hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); for(j=1; j<= nlstate; j++){ /* Sum of wi * eij = e.j */ for(h=0; h<=nhstepm; h++){ @@ -5316,7 +5593,7 @@ void cvevsij(double ***eij, double x[], /* end ppptj */ /* x centered again */ - prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij); + prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij, nres); if (popbased==1) { if(mobilav ==0){ @@ -5332,7 +5609,7 @@ void cvevsij(double ***eij, double x[], computed over hstepm (estepm) matrices product = hstepm*stepm months) as a weighted average of prlim. */ - hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij); + hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij, nres); for(j=nlstate+1;j<=nlstate+ndeath;j++){ for(i=1,gmp[j]=0.;i<= nlstate; i++) gmp[j] += prlim[i][i]*p3mat[i][j][1]; @@ -5395,7 +5672,7 @@ void cvevsij(double ***eij, double x[], } /* end varevsij */ /************ Variance of prevlim ******************/ - void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, char strstart[]) + void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, char strstart[], int nres) { /* Variance of prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/ /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ @@ -5411,7 +5688,9 @@ void cvevsij(double ***eij, double x[], pstamp(ficresvpl); 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++) fprintf(ficresvpl," %1d-%1d",i,i); fprintf(ficresvpl,"\n"); @@ -5438,9 +5717,9 @@ void cvevsij(double ***eij, double x[], xp[i] = x[i] + (i==theta ?delti[theta]:0); } if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); else - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); for(i=1;i<=nlstate;i++){ gp[i] = prlim[i][i]; mgp[theta][i] = prlim[i][i]; @@ -5448,9 +5727,9 @@ void cvevsij(double ***eij, double x[], for(i=1; i<=npar; i++) /* Computes gradient */ xp[i] = x[i] - (i==theta ?delti[theta]:0); if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); else - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); for(i=1;i<=nlstate;i++){ gm[i] = prlim[i][i]; mgm[theta][i] = prlim[i][i]; @@ -5497,6 +5776,8 @@ void cvevsij(double ***eij, double x[], varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ fprintf(ficresvpl,"%.0f ",age ); + if(nresult >=1) + fprintf(ficresvpl,"%d ",nres ); for(i=1; i<=nlstate;i++) fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age])); fprintf(ficresvpl,"\n"); @@ -5858,11 +6139,13 @@ void printinghtml(char fileresu[], char int popforecast, int prevfcast, int backcast, int estepm , \ double jprev1, double mprev1,double anprev1, double dateprev1, \ double jprev2, double mprev2,double anprev2, double dateprev2){ - int jj1, k1, i1, cpt; + int jj1, k1, i1, cpt, k4, nres; fprintf(fichtm,""); + fprintf(fichtm,"
  • model=1+age+%s\n \ +
", model); fprintf(fichtm,"

  • Result files (first order: no variance)

    \n"); fprintf(fichtm,"
  • - Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s (html file)
    \n", jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); @@ -5897,16 +6180,27 @@ void printinghtml(char fileresu[], char if (cptcovn < 1) {m=1;ncodemax[1]=1;} jj1=0; - for(k1=1; k1<=m;k1++){ + + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ + if(TKresult[nres]!= k1) + continue; /* for(i1=1; i1<=ncodemax[k1];i1++){ */ jj1++; if (cptcovn > 0) { fprintf(fichtm,"
    ************ Results for covariates"); for (cpt=1; cpt<=cptcoveff;cpt++){ - fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); - printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); + fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); + printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout); + /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ + /* printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); */ } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);fflush(stdout); + } + /* if(nqfveff+nqtveff 0) */ /* Test to be done */ fprintf(fichtm," ************\n
    "); if(invalidvarcomb[k1]){ @@ -5916,51 +6210,51 @@ 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.svg
    \ -",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); + 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
    \ +",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.svg
    \ -",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); + 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
    \ +",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); /* Quasi-incidences */ fprintf(fichtm,"
    \n- Iij 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, \ incidence (rates) are the limit when h tends to zero of the ratio of the probability hPij \ -divided by h: hPij/h : %s_%d-3.svg
    \ -",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); +divided by h: hPij/h : %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 */ for(cpt=1; cpt<=nlstate;cpt++){ - fprintf(fichtm,"
    \n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. %s%d_%d.svg
    \ -", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1); + fprintf(fichtm,"
    \n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. %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) */ for(cpt=1; cpt<=nlstate;cpt++){ fprintf(fichtm,"
    \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. \ - %s%d_%d.svg
    ", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1); + %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 */ 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.svg
    \ -", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1); + 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); } 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.svg
    \ -", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1); + 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
    \ +", 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.svg
    \ -", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1); + 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); } } for(cpt=1; cpt<=nlstate;cpt++) { - fprintf(fichtm,"\n
    - 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): %s_%d%d.svg
    \ -",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1); + fprintf(fichtm,"\n
    - 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): %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 k1 */ @@ -6018,13 +6312,22 @@ See page 'Matrix of variance-covariance if (cptcovn < 1) {m=1;ncodemax[1]=1;} jj1=0; + + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ for(k1=1; k1<=m;k1++){ + if(TKresult[nres]!= k1) + continue; /* for(i1=1; i1<=ncodemax[k1];i1++){ */ jj1++; if (cptcovn > 0) { fprintf(fichtm,"
    ************ Results for covariates"); for (cpt=1; cpt<=cptcoveff;cpt++) /**< cptcoveff number of variables */ - fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); + fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]); + /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */ + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(fichtm," ************\n
    "); if(invalidvarcomb[k1]){ @@ -6034,17 +6337,18 @@ See page 'Matrix of variance-covariance } for(cpt=1; cpt<=nlstate;cpt++) { fprintf(fichtm,"\n
    - Observed (cross-sectional) and period (incidence based) \ -prevalence (with 95%% confidence interval) in state (%d): %s_%d-%d.svg\n
    \ -",cpt,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1); +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); } 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) \ true period expectancies (those weighted with period prevalences are also\ drawn in addition to the population based expectancies computed using\ - observed and cahotic prevalences: %s_%d.svg\n
    \ -",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1); + observed and cahotic prevalences: %s_%d-%d.svg\n
    \ +",subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres); /* } /\* end i1 *\/ */ }/* End k1 */ + }/* End nres */ fprintf(fichtm,"
"); fflush(fichtm); } @@ -6054,11 +6358,12 @@ void printinggnuplot(char fileresu[], ch char dirfileres[132],optfileres[132]; char gplotcondition[132]; - int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; + 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 */ /* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ /* printf("Problem with file %s",optionfilegnuplot); */ @@ -6102,135 +6407,95 @@ void printinggnuplot(char fileresu[], ch strcpy(dirfileres,optionfilefiname); strcpy(optfileres,"vpl"); /* 1eme*/ - for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */ - for (k1=1; k1<= m && selected(k1) ; k1 ++) { /* For each valid combination of covariate */ - /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ - fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); - 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 */ - /* 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]; /* vlv is the value of the covariate lv, 0 or 1 */ - /* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */ - fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); - } - fprintf(ficgp,"\n#\n"); - if(invalidvarcomb[k1]){ - fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); - continue; - } - - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1); - fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1); - fprintf(ficgp,"set xlabel \"Age\" \n\ -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 ++) { - 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+1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); - 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:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); - for (i=1; i<= nlstate ; i ++) { - if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); - else fprintf(ficgp," %%*lf (%%*lf)"); - } - fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); - 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:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ - fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ - if(cptcoveff ==0){ - fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 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)? $%d : 1/0) t 'Backward prevalence in state %d' ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ - 4+(cpt-1), cpt ); /* 4 or 6 ?*/ - }else{ - fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); + for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */ + for (k1=1; k1<= m ; k1 ++){ /* For each valid combination of covariate */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ + if(TKresult[nres]!= k1) + continue; + /* 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); + 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 */ + /* 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]; /* vlv is the value of the covariate lv, 0 or 1 */ + /* 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); + } + 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]); + } + /* printf("\n#\n"); */ + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + 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); + + 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); + 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*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); + 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:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ + fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1, nres in 2 to be fixed */ + if(cptcoveff ==0){ + fprintf(ficgp,"$%d)) t 'Backward 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++; - } - } /* end covariate */ - } /* end if no covariate */ - } /* end if backcast */ - fprintf(ficgp,"\nset out \n"); + /* 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)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ + 2+cptcoveff*2+(cpt-1), cpt ); /* 4 or 6 ?*/ + }else{ + fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); + kl++; + } + } /* end covariate */ + } /* end if no covariate */ + } /* end if backcast */ + fprintf(ficgp,"\nset out \n"); + } /* nres */ } /* k1 */ } /* cpt */ - /*2 eme*/ - for (k1=1; k1<= m ; k1 ++) { - fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); - 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 */ - /* 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); - } - fprintf(ficgp,"\n#\n"); - if(invalidvarcomb[k1]){ - fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); - continue; - } - - fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1); - for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ - if(vpopbased==0) - fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); - 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); - 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); - 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); - for (j=1; j<= nlstate+1 ; j ++) { - if (j==i) fprintf(ficgp," %%lf (%%lf)"); - else fprintf(ficgp," %%*lf (%%*lf)"); - } - if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); - else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); - } /* state */ - } /* vpopbased */ - fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ - } /* k1 */ - - - /*3eme*/ - for (k1=1; k1<= m ; k1 ++) { - - for (cpt=1; cpt<= nlstate ; cpt ++) { - fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); + + /*2 eme*/ + for (k1=1; k1<= m ; k1 ++){ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= k1) + continue; + fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); 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 */ @@ -6239,129 +6504,206 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," 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]); + } fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); continue; } - /* k=2+nlstate*(2*cpt-2); */ - k=2+(nlstate+1)*(cpt-1); - fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); - fprintf(ficgp,"set ter svg size 640, 480\n\ + 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,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); + 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); + 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); + 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+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); + else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); + } /* state */ + } /* vpopbased */ + fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */ + } /* end nres */ + } /* k1 end 2 eme*/ + + + /*3eme*/ + for (k1=1; k1<= m ; k1 ++){ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= k1) + continue; + + for (cpt=1; cpt<= nlstate ; cpt ++) { + fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + /* k=2+nlstate*(2*cpt-2); */ + k=2+(nlstate+1)*(cpt-1); + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); + fprintf(ficgp,"set ter svg size 640, 480\n\ plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt); - /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); - for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); - fprintf(ficgp,"\" t \"e%d1\" w l",cpt); - fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); - for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); - fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); + fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%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); - */ - 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(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/ + */ + 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(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_"),k1-1,k1-1,k+nlstate,cpt); + } + } /* end nres */ + } /* end kl 3eme */ /* 4eme */ /* Survival functions (period) from state i in state j by initial state i */ - for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */ - - for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ - 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 */ - /* 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); - } - fprintf(ficgp,"\n#\n"); - if(invalidvarcomb[k1]){ - fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + for (k1=1; k1<=m; k1++){ /* For each covariate and each value */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= k1) continue; - } - - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); - fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ -set ter svg size 640, 480\n \ -unset log y\n \ -plot [%.f:%.f] ", ageminpar, agemaxpar); - k=3; - for (i=1; i<= nlstate ; i ++){ - if(i==1){ - fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); - }else{ - fprintf(ficgp,", '' "); + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ + 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 */ + /* 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); } - l=(nlstate+ndeath)*(i-1)+1; - fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); - for (j=2; j<= nlstate+ndeath ; j ++) - fprintf(ficgp,"+$%d",k+l+j-1); - fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt); - } /* nlstate */ - fprintf(ficgp,"\nset out\n"); - } /* end cpt state*/ - } /* end covariate */ - + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + 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\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; + for (i=1; i<= nlstate ; i ++){ + if(i==1){ + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); + }else{ + fprintf(ficgp,", '' "); + } + l=(nlstate+ndeath)*(i-1)+1; + fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); + for (j=2; j<= nlstate+ndeath ; j ++) + fprintf(ficgp,"+$%d",k+l+j-1); + fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt); + } /* nlstate */ + fprintf(ficgp,"\nset out\n"); + } /* end cpt state*/ + } /* end nres */ + } /* end covariate k1 */ + /* 5eme */ /* Survival functions (period) from state i in state j by final state j */ - for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ - for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ - - 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 */ - /* 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); - } - fprintf(ficgp,"\n#\n"); - if(invalidvarcomb[k1]){ - fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + for (k1=1; k1<= m ; k1++){ /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= k1) continue; - } + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ + 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 */ + /* 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); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); - fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ -set ter svg size 640, 480\n \ -unset log y\n \ -plot [%.f:%.f] ", ageminpar, agemaxpar); - k=3; - for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ - if(j==1) - fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); - else - fprintf(ficgp,", '' "); - l=(nlstate+ndeath)*(cpt-1) +j; - fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); - /* for (i=2; i<= nlstate+ndeath ; i ++) */ - /* fprintf(ficgp,"+$%d",k+l+i-1); */ - fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); - } /* nlstate */ - fprintf(ficgp,", '' "); - fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); - for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ - l=(nlstate+ndeath)*(cpt-1) +j; - if(j < nlstate) - fprintf(ficgp,"$%d +",k+l); - else - fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); - } - fprintf(ficgp,"\nset out\n"); - } /* end cpt state*/ - } /* end covariate */ + 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\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; + for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ + if(j==1) + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); + else + fprintf(ficgp,", '' "); + l=(nlstate+ndeath)*(cpt-1) +j; + fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); + /* for (i=2; i<= nlstate+ndeath ; i ++) */ + /* fprintf(ficgp,"+$%d",k+l+i-1); */ + fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); + } /* nlstate */ + fprintf(ficgp,", '' "); + fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); + for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ + l=(nlstate+ndeath)*(cpt-1) +j; + if(j < nlstate) + fprintf(ficgp,"$%d +",k+l); + else + fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); + } + fprintf(ficgp,"\nset out\n"); + } /* end cpt state*/ + } /* end covariate */ + } /* end nres */ /* 6eme */ /* CV preval stable (period) for each covariate */ - for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= k1) + continue; for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); @@ -6373,17 +6715,18 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," 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]); + } fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); 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\ -set ter svg size 640, 480\n \ -unset log y\n \ -plot [%.f:%.f] ", ageminpar, agemaxpar); +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); k=3; /* Offset */ for (i=1; i<= nlstate ; i ++){ if(i==1) @@ -6404,7 +6747,10 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /* 7eme */ if(backcast == 1){ /* CV back preval stable (period) for each covariate */ - for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(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 (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ @@ -6415,17 +6761,18 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," 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]); + } fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); 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\ -set ter svg size 640, 480\n \ -unset log y\n \ -plot [%.f:%.f] ", ageminpar, agemaxpar); +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); k=3; /* Offset */ for (i=1; i<= nlstate ; i ++){ if(i==1) @@ -6451,7 +6798,10 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) if(prevfcast==1){ /* Projection from cross-sectional to stable (period) for each covariate */ - for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= k1) + continue; for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ 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 */ @@ -6462,6 +6812,9 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," 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]); + } fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); @@ -6469,11 +6822,9 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) } 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\ -set ter svg size 640, 480\n \ -unset log y\n \ -plot [%.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 */ /*# 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 */ @@ -6540,8 +6891,8 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) } /* End if prevfcast */ - /* proba elementaires */ - fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); + /* 9eme writing MLE parameters */ + fprintf(ficgp,"\n##############\n#9eme MLE estimated parameters\n#############\n"); for(i=1,jk=1; i <=nlstate; i++){ fprintf(ficgp,"# initial state %d\n",i); for(k=1; k <=(nlstate+ndeath); k++){ @@ -6558,7 +6909,8 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"##############\n#\n"); /*goto avoid;*/ - fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n"); + /* 10eme Graphics of probabilities or incidences using written MLE parameters */ + fprintf(ficgp,"\n##############\n#10eme Graphics of probabilities or incidences\n#############\n"); fprintf(ficgp,"# logi(p12/p11)=a12+b12*age+c12age*age+d12*V1+e12*V1*age\n"); fprintf(ficgp,"# logi(p12/p11)=p1 +p2*age +p3*age*age+ p4*V1+ p5*V1*age\n"); fprintf(ficgp,"# logi(p13/p11)=a13+b13*age+c13age*age+d13*V1+e13*V1*age\n"); @@ -6573,11 +6925,20 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"# +exp(a14+b14*age+c14age*age+d14*V1+e14*V1*age)+...)\n"); fprintf(ficgp,"#\n"); for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ - fprintf(ficgp,"# ng=%d\n",ng); - fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m); - for(jk=1; jk <=m; jk++) { - fprintf(ficgp,"# jk=%d\n",jk); - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng); + 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 */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= jk) + continue; + fprintf(ficgp,"# Combination of dummy jk=%d and ",jk); + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficgp,"\n#\n"); + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng,nres); 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 */ @@ -6617,18 +6978,50 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) break; } ij=1;/* To be checked else nbcode[0][0] wrong */ - for(j=3; j <=ncovmodel-nagesqr; j++) { + ijp=1; /* product no age */ + /* for(j=3; j <=ncovmodel-nagesqr; j++) { */ + for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ - if(ij <=cptcovage) { /* Bug valgrind */ - if((j-2)==Tage[ij]) { /* Bug valgrind */ - fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); - /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */ + if(j==Tage[ij]) { /* Product by age */ + if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ + if(DummyV[j]==0){ + 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])]); */ + } ij++; } - } - else - fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); /* Valgrind bug nbcode */ - } + }else if(j==Tprod[ijp]) { /* */ + /* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ + 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,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,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); + } + }else{ /* Vn*Vm Vn is quanti */ + if(DummyV[Tvard[ijp][2]]==0){ + fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); + }else{ /* Both quanti */ + fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); + } + } + ijp++; + } + } else{ /* simple covariate */ + /* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(jk,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])]); */ + } + } /* end simple */ + } /* end j */ }else{ i=i-ncovmodel; if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ @@ -6646,8 +7039,8 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) ij=1; for(j=3; j <=ncovmodel-nagesqr; j++){ - if(ij <=cptcovage) { /* Bug valgrind */ - if((j-2)==Tage[ij]) { /* Bug valgrind */ + 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])]); */ ij++; @@ -6799,7 +7192,7 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) } /* end bad */ for (age=bage; age<=fage; age++){ - printf("%d %d ", cptcod, (int)age); + /* printf("%d %d ", cptcod, (int)age); */ sumnewp[cptcod]=0.; sumnewm[cptcod]=0.; for (i=1; i<=nlstate;i++){ @@ -6838,13 +7231,13 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /************** Forecasting ******************/ -void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ + void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ /* proj1, year, month, day of starting projection agemin, agemax range of age dateprev1 dateprev2 range of dates during which prevalence is computed anproj2 year of en of projection (same day and month as proj1). */ - int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1; + int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0; double agec; /* generic age */ double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; double *popeffectif,*popcount; @@ -6866,8 +7259,8 @@ void prevforecast(char fileres[], double printf("Problem with forecast resultfile: %s\n", fileresf); fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf); } - printf("Computing forecasting: result on file '%s', please wait... \n", fileresf); - fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf); + printf("\nComputing forecasting: result on file '%s', please wait... \n", fileresf); + fprintf(ficlog,"\nComputing forecasting: result on file '%s', please wait... \n", fileresf); if (cptcoveff==0) ncodemax[cptcoveff]=1; @@ -6898,7 +7291,10 @@ void prevforecast(char fileres[], double fprintf(ficresf,"#****** Routine prevforecast **\n"); /* if (h==(int)(YEARM*yearp)){ */ - for(k=1;k<=i1;k++){ + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ + if(TKresult[nres]!= k) + continue; if(invalidvarcomb[k]){ printf("\nCombination (%d) projection ignored because no cases \n",k); continue; @@ -6907,6 +7303,9 @@ void prevforecast(char fileres[], double for(j=1;j<=cptcoveff;j++) { fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } fprintf(ficresf," yearproj age"); for(j=1; j<=nlstate+ndeath;j++){ for(i=1; i<=nlstate;i++) @@ -6921,7 +7320,7 @@ void prevforecast(char fileres[], double nhstepm = nhstepm/hstepm; p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); oldm=oldms;savm=savms; - hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k); + hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k,nres); for (h=0; h<=nhstepm; h++){ if (h*hstepm/YEARM*stepm ==yearp) { @@ -7514,14 +7913,36 @@ int readdata(char datafile[], int firsto /*-------- data file ----------*/ FILE *fic; char dummy[]=" "; - int i=0, j=0, n=0, iv=0; + int i=0, j=0, n=0, iv=0, v; int lstra; int linei, month, year,iout; char line[MAXLINE], linetmp[MAXLINE]; char stra[MAXLINE], strb[MAXLINE]; 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) { printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); @@ -7555,6 +7976,7 @@ int readdata(char datafile[], int firsto if(strb[0]=='.') { /* Missing value */ lval=-1; cotqvar[j][iv][i]=-1; /* 0.0/0.0 */ + cotvar[j][ntv+iv][i]=-1; /* For performance reasons */ if(isalpha(strb[1])) { /* .m or .d Really Missing value */ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); @@ -7574,6 +7996,7 @@ int readdata(char datafile[], int firsto return 1; } cotqvar[j][iv][i]=dval; + cotvar[j][ntv+iv][i]=dval; } strcpy(line,stra); }/* end loop ntqv */ @@ -7787,24 +8210,30 @@ int readdata(char datafile[], int firsto return (1); } -void removespace(char **stri){/*, char stro[]) {*/ +void removefirstspace(char **stri){/*, char stro[]) {*/ char *p1 = *stri, *p2 = *stri; - do - while (*p2 == ' ') - p2++; - while (*p1++ == *p2++); - *stri=p1; + while (*p2 == ' ') + p2++; + /* while ((*p1++ = *p2++) !=0) */ + /* ; */ + /* do */ + /* while (*p2 == ' ') */ + /* p2++; */ + /* while (*p1++ == *p2++); */ + *stri=p2; } -int decoderesult ( char resultline[]) +int decoderesult ( char resultline[], int nres) /**< This routine decode one result line and returns the combination # of dummy covariates only **/ { - int j=0, k=0; + int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0; char resultsav[MAXLINE]; + int resultmodel[MAXLINE]; + int modelresult[MAXLINE]; char stra[80], strb[80], strc[80], strd[80],stre[80]; - removespace(&resultline); - printf("decoderesult=%s\n",resultline); + removefirstspace(&resultline); + printf("decoderesult:%s\n",resultline); if (strstr(resultline,"v") !=0){ printf("Error. 'v' must be in upper case 'V' result: %s ",resultline); @@ -7815,13 +8244,19 @@ int decoderesult ( char resultline[]) if (strlen(resultsav) >1){ j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ } - - for(k=1; k<=j;k++){ /* Loop on total covariates of the model */ - cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' - resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ - cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ + if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ + printf("ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); + fprintf(ficlog,"ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); + } + for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */ + if(nbocc(resultsav,'=') >1){ + cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' + resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ + cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ + }else + cutl(strc,strd,resultsav,'='); Tvalsel[k]=atof(strc); /* 1 */ - + cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */; Tvarsel[k]=atoi(strc); /* Typevarsel[k]=1; /\* 1 for age product *\/ */ @@ -7829,14 +8264,83 @@ int decoderesult ( char resultline[]) if (nbocc(stra,'=') >0) strcpy(resultsav,stra); /* and analyzes it */ } + /* Checking for missing or useless values in comparison of current model needs */ + for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + if(Typevar[k1]==0){ /* Single covariate in model */ + match=0; + for(k2=1; k2 <=j;k2++){/* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ + if(Tvar[k1]==Tvarsel[k2]) {/* Tvar[1]=5 == Tvarsel[2]=5 */ + modelresult[k2]=k1;/* modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */ + match=1; + break; + } + } + if(match == 0){ + printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); + } + } + } + /* Checking for missing or useless values in comparison of current model needs */ + for(k2=1; k2 <=j;k2++){ /* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ + match=0; + for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + if(Typevar[k1]==0){ /* Single */ + if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 */ + resultmodel[k1]=k2; /* resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */ + ++match; + } + } + } + if(match == 0){ + printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); + }else if(match > 1){ + printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); + } + } + + /* We need to deduce which combination number is chosen and save quantitative values */ + /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + /* result line V4=1 V5=25.1 V3=0 V2=8 V1=1 */ + /* should give a combination of dummy V4=1, V3=0, V1=1 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 5 + (1offset) = 6*/ + /* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ + /* should give a combination of dummy V4=1, V3=1, V1=0 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 3 + (1offset) = 4*/ + /* 1 0 0 0 */ + /* 2 1 0 0 */ + /* 3 0 1 0 */ + /* 4 1 1 0 */ /* V4=1, V3=1, V1=0 */ + /* 5 0 0 1 */ + /* 6 1 0 1 */ /* V4=1, V3=0, V1=1 */ + /* 7 0 1 1 */ + /* 8 1 1 1 */ + /* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */ + /* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */ + /* V5*age V5 known which value for nres? */ + /* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */ + for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* model line */ + if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */ + k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */ + k2=(int)Tvarsel[k3]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */ + k+=Tvalsel[k3]*pow(2,k4); /* Tvalsel[1]=1 */ + Tresult[nres][k4+1]=Tvalsel[k3];/* Tresult[nres][1]=1(V4=1) Tresult[nres][2]=0(V3=0) */ + Tvresult[nres][k4+1]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ + Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */ + printf("Decoderesult Dummy k=%d, V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k2, k3, (int)Tvalsel[k3], k4); + k4++;; + } else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Single quantitative */ + k3q= resultmodel[k1]; /* resultmodel[2] = 1=k3 */ + k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */ + Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */ + Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */ + Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ + printf("Decoderesult Quantitative nres=%d, V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); + k4q++;; + } + } + + TKresult[nres]=++k; /* Combination for the nresult and the model */ return (0); } -int selected( int kvar){ /* Selected combination of covariates */ - if(Tvarsel[kvar]) - return (0); - else - return(1); -} + int decodemodel( char model[], int lastobs) /**< This routine decodes the model and returns: * Model V1+V2+V3+V8+V7*V8+V5*V6+V8*age+V3*age+age*age @@ -7853,7 +8357,7 @@ int decodemodel( char model[], int lasto * - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 . */ { - int i, j, k, ks; + int i, j, k, ks, v; int j1, k1, k2, k3, k4; char modelsav[80]; char stra[80], strb[80], strc[80], strd[80],stre[80]; @@ -7989,10 +8493,10 @@ int decodemodel( char model[], int lasto cptcovprodnoage++;k1++; cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but - because this model-covariate is a construction we invent a new column - which is after existing variables ncovcol+nqv+ntv+nqtv + k1 - If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 - Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ + because this model-covariate is a construction we invent a new column + which is after existing variables ncovcol+nqv+ntv+nqtv + k1 + If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 + Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ Typevar[k]=2; /* 2 for double fixed dummy covariates */ cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ @@ -8059,120 +8563,251 @@ 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\ 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); - - for(k=1, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ - if (Tvar[k] <=ncovcol && (Typevar[k]==0 || Typevar[k]==2)){ /* Simple or product fixed dummy covariatee */ + for(k=1;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;} + 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 */ Fixed[k]= 0; Dummy[k]= 0; ncoveff++; + ncovf++; + nsd++; + modell[k].maintype= FTYPE; + TvarsD[nsd]=Tvar[k]; + TvarsDind[nsd]=k; + TvarF[ncovf]=Tvar[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 */ - TvarFDind[ncoveff]=Tvar[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*/ + 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 && Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */ + Fixed[k]= 0; + Dummy[k]= 0; + ncoveff++; + ncovf++; + modell[k].maintype= FTYPE; + TvarF[ncovf]=Tvar[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 */ + 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 */ Fixed[k]= 0; Dummy[k]= 1; nqfveff++; - TvarFQ[nqfveff]=Tvar[k]; /* TvarFQ[1]=V2 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ + modell[k].maintype= FTYPE; + modell[k].subtype= FQ; + nsq++; + TvarsQ[nsq]=Tvar[k]; + TvarsQind[nsq]=k; + ncovf++; + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ - }else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){ + }else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */ Fixed[k]= 1; Dummy[k]= 0; ntveff++; /* Only simple time varying dummy variable */ - TvarVD[ntvveff]=Tvar[k]; /* TvarVD[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ - TvarVDind[ntveff++]=k; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ + modell[k].maintype= VTYPE; + modell[k].subtype= VD; + nsd++; + TvarsD[nsd]=Tvar[k]; + TvarsDind[nsd]=k; + ncovv++; /* Only simple time varying variables */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ + TvarVD[ntveff]=Tvar[k]; /* TvarVD[1]=V4 TvarVD[2]=V3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ + TvarVDind[ntveff]=k; /* TvarVDind[1]=2 TvarVDind[2]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); - }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ - Fixed[k]= 1; - Dummy[k]= 1; - TmodelInvQind[++nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ - /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ - printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); + }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ + Fixed[k]= 1; + Dummy[k]= 1; + nqtveff++; + modell[k].maintype= VTYPE; + modell[k].subtype= VQ; + ncovv++; /* Only simple time varying variables */ + nsq++; + TvarsQ[nsq]=Tvar[k]; + TvarsQind[nsq]=k; + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ + TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ + /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ + printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); }else if (Typevar[k] == 1) { /* product with age */ - if (Tvar[k] <=ncovcol ){ /* Simple or product fixed dummy covariatee */ - Fixed[k]= 2; - Dummy[k]= 2; - /* ncoveff++; */ + ncova++; + TvarA[ncova]=Tvar[k]; + TvarAind[ncova]=k; + if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ + Fixed[k]= 2; + Dummy[k]= 2; + modell[k].maintype= ATYPE; + modell[k].subtype= APFD; + /* ncoveff++; */ }else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ - Fixed[k]= 2; - Dummy[k]= 3; - /* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ + Fixed[k]= 2; + Dummy[k]= 3; + modell[k].maintype= ATYPE; + modell[k].subtype= APFQ; /* Product age * fixed quantitative */ + /* nqfveff++; /\* Only simple fixed quantitative variable *\/ */ }else if( Tvar[k] <=ncovcol+nqv+ntv ){ - Fixed[k]= 3; - Dummy[k]= 2; - /* ntveff++; /\* Only simple time varying dummy variable *\/ */ + Fixed[k]= 3; + Dummy[k]= 2; + modell[k].maintype= ATYPE; + modell[k].subtype= APVD; /* Product age * varying dummy */ + /* ntveff++; /\* Only simple time varying dummy variable *\/ */ }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){ - Fixed[k]= 3; - Dummy[k]= 3; - /* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ + Fixed[k]= 3; + Dummy[k]= 3; + modell[k].maintype= ATYPE; + modell[k].subtype= APVQ; /* Product age * varying quantitative */ + /* nqtveff++;/\* Only simple time varying quantitative variable *\/ */ } }else if (Typevar[k] == 2) { /* product without age */ k1=Tposprod[k]; if(Tvard[k1][1] <=ncovcol){ - if(Tvard[k1][2] <=ncovcol){ - Fixed[k]= 1; - Dummy[k]= 0; - }else if(Tvard[k1][2] <=ncovcol+nqv){ - Fixed[k]= 0; /* or 2 ?*/ - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ - Fixed[k]= 1; - Dummy[k]= 0; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ - Fixed[k]= 1; - Dummy[k]= 1; - } + if(Tvard[k1][2] <=ncovcol){ + Fixed[k]= 1; + Dummy[k]= 0; + modell[k].maintype= FTYPE; + modell[k].subtype= FPDD; /* Product fixed dummy * fixed dummy */ + ncovf++; /* Fixed variables without age */ + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv){ + Fixed[k]= 0; /* or 2 ?*/ + Dummy[k]= 1; + modell[k].maintype= FTYPE; + modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ + ncovf++; /* Varying variables without age */ + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 0; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } }else if(Tvard[k1][1] <=ncovcol+nqv){ - if(Tvard[k1][2] <=ncovcol){ - Fixed[k]= 0; /* or 2 ?*/ - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv){ - Fixed[k]= 0; /* or 2 ?*/ - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ - Fixed[k]= 1; - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ - Fixed[k]= 1; - Dummy[k]= 1; - } + if(Tvard[k1][2] <=ncovcol){ + Fixed[k]= 0; /* or 2 ?*/ + Dummy[k]= 1; + modell[k].maintype= FTYPE; + modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ + ncovf++; /* Fixed variables without age */ + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } }else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ - if(Tvard[k1][2] <=ncovcol){ - Fixed[k]= 1; - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv){ - Fixed[k]= 1; - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ - Fixed[k]= 1; - Dummy[k]= 0; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ - Fixed[k]= 1; - Dummy[k]= 1; - } + if(Tvard[k1][2] <=ncovcol){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 0; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } }else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ - if(Tvard[k1][2] <=ncovcol){ - Fixed[k]= 1; - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv){ - Fixed[k]= 1; - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ - Fixed[k]= 1; - Dummy[k]= 1; - }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ - Fixed[k]= 1; - Dummy[k]= 1; - } + if(Tvard[k1][2] <=ncovcol){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } }else{ - 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]); - } /* end k1 */ + 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]); + } /*end k1*/ }else{ 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]); } printf("Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); + printf(" modell[%d].maintype=%d, modell[%d].subtype=%d\n",k,modell[k].maintype,k,modell[k].subtype); fprintf(ficlog,"Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); } /* Searching for doublons in the model */ @@ -8199,6 +8834,8 @@ Dummy[k] 0=dummy (0 1), 1 quantitative ( } printf("ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); fprintf(ficlog,"ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn); + printf("ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd,nsq); + fprintf(ficlog,"ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd, nsq); return (0); /* with covar[new additional covariate if product] and Tage if age */ /*endread:*/ printf("Exiting decodemodel: "); @@ -8513,7 +9150,7 @@ void syscompilerinfo(int logged) int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ /*--------------- Prevalence limit (period or stable prevalence) --------------*/ - int i, j, k, i1 ; + int i, j, k, i1, k4=0, nres=0 ; /* double ftolpl = 1.e-10; */ double age, agebase, agelim; double tot; @@ -8538,56 +9175,66 @@ int prevalence_limit(double *p, double * agelim=agemaxpar; /* i1=pow(2,ncoveff); */ - i1=pow(2,cptcoveff); /* Number of dummy covariates */ + i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ if (cptcovn < 1){i1=1;} - for(k=1; k<=i1;k++){ - /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ - /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ - //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ - /* k=k+1; */ - /* to clean */ - //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); - fprintf(ficrespl,"#******"); - printf("#******"); - fprintf(ficlog,"#******"); - for(j=1;j<=cptcoveff ;j++) {/* all covariates */ - fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); /* Here problem for varying dummy*/ - printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - fprintf(ficrespl,"******\n"); - printf("******\n"); - fprintf(ficlog,"******\n"); - if(invalidvarcomb[k]){ - printf("\nCombination (%d) ignored because no case \n",k); - fprintf(ficrespl,"#Combination (%d) ignored because no case \n",k); - fprintf(ficlog,"\nCombination (%d) ignored because no case \n",k); - continue; - } + for(k=1; k<=i1;k++){ /* For each combination k of dummy covariates in the model */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(TKresult[nres]!= k) + continue; - fprintf(ficrespl,"#Age "); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); - fprintf(ficrespl,"Total Years_to_converge\n"); + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ + /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ + //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ + /* k=k+1; */ + /* to clean */ + //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); + fprintf(ficrespl,"#******"); + printf("#******"); + fprintf(ficlog,"#******"); + for(j=1;j<=cptcoveff ;j++) {/* all covariates */ + fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); /* Here problem for varying dummy*/ + printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficrespl,"******\n"); + printf("******\n"); + fprintf(ficlog,"******\n"); + if(invalidvarcomb[k]){ + printf("\nCombination (%d) ignored because no case \n",k); + fprintf(ficrespl,"#Combination (%d) ignored because no case \n",k); + fprintf(ficlog,"\nCombination (%d) ignored because no case \n",k); + continue; + } + + fprintf(ficrespl,"#Age "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); + fprintf(ficrespl,"Total Years_to_converge\n"); - for (age=agebase; age<=agelim; age++){ - /* for (age=agebase; age<=agebase; age++){ */ - prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); - fprintf(ficrespl,"%.0f ",age ); - for(j=1;j<=cptcoveff;j++) - fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - tot=0.; - for(i=1; i<=nlstate;i++){ - tot += prlim[i][i]; - fprintf(ficrespl," %.5f", prlim[i][i]); - } - fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); - } /* Age */ - /* was end of cptcod */ - } /* cptcov */ + for (age=agebase; age<=agelim; age++){ + /* for (age=agebase; age<=agebase; age++){ */ + prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); + fprintf(ficrespl,"%.0f ",age ); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + tot=0.; + for(i=1; i<=nlstate;i++){ + tot += prlim[i][i]; + fprintf(ficrespl," %.5f", prlim[i][i]); + } + fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); + } /* Age */ + /* was end of cptcod */ + } /* cptcov */ + } /* nres */ return 0; } @@ -8597,7 +9244,7 @@ int back_prevalence_limit(double *p, dou /* Computes the back prevalence limit for any combination of covariate values * at any age between ageminpar and agemaxpar */ - int i, j, k, i1 ; + int i, j, k, i1, nres=0 ; /* double ftolpl = 1.e-10; */ double age, agebase, agelim; double tot; @@ -8628,61 +9275,69 @@ int back_prevalence_limit(double *p, dou i1=pow(2,cptcoveff); if (cptcovn < 1){i1=1;} - for(k=1; k<=i1;k++){ - //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); - fprintf(ficresplb,"#******"); - printf("#******"); - fprintf(ficlog,"#******"); - for(j=1;j<=cptcoveff ;j++) {/* all covariates */ - fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - fprintf(ficresplb,"******\n"); - printf("******\n"); - fprintf(ficlog,"******\n"); - if(invalidvarcomb[k]){ - printf("\nCombination (%d) ignored because no cases \n",k); - fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k); - fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); - continue; - } + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ + if(TKresult[nres]!= k) + continue; + //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); + fprintf(ficresplb,"#******"); + printf("#******"); + fprintf(ficlog,"#******"); + for(j=1;j<=cptcoveff ;j++) {/* all covariates */ + fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + fprintf(ficresplb,"******\n"); + printf("******\n"); + fprintf(ficlog,"******\n"); + if(invalidvarcomb[k]){ + printf("\nCombination (%d) ignored because no cases \n",k); + fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k); + fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); + continue; + } - fprintf(ficresplb,"#Age "); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); - fprintf(ficresplb,"Total Years_to_converge\n"); + fprintf(ficresplb,"#Age "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); + fprintf(ficresplb,"Total Years_to_converge\n"); - for (age=agebase; age<=agelim; age++){ - /* for (age=agebase; age<=agebase; age++){ */ - if(mobilavproj > 0){ - /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ - /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ - bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k); - }else if (mobilavproj == 0){ - printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); - fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); - exit(1); - }else{ - /* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ - bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k); - } - fprintf(ficresplb,"%.0f ",age ); - for(j=1;j<=cptcoveff;j++) - fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - tot=0.; - for(i=1; i<=nlstate;i++){ - tot += bprlim[i][i]; - fprintf(ficresplb," %.5f", bprlim[i][i]); - } - fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); - } /* Age */ - /* was end of cptcod */ - } /* cptcov */ - + for (age=agebase; age<=agelim; age++){ + /* for (age=agebase; age<=agebase; age++){ */ + if(mobilavproj > 0){ + /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ + /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ + bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k, nres); + }else if (mobilavproj == 0){ + printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); + fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); + exit(1); + }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); + } + fprintf(ficresplb,"%.0f ",age ); + for(j=1;j<=cptcoveff;j++) + fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + tot=0.; + for(i=1; i<=nlstate;i++){ + tot += bprlim[i][i]; + fprintf(ficresplb," %.5f", bprlim[i][i]); + } + fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); + } /* Age */ + /* was end of cptcod */ + } /* end of any combination */ + } /* end of nres */ /* hBijx(p, bage, fage); */ /* fclose(ficrespijb); */ @@ -8696,7 +9351,7 @@ int hPijx(double *p, int bage, int fage) int agelim; int hstepm; int nhstepm; - int h, i, i1, j, k; + int h, i, i1, j, k, k4, nres=0; double agedeb; double ***p3mat; @@ -8723,10 +9378,17 @@ int hPijx(double *p, int bage, int fage) /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ /* k=k+1; */ - for (k=1; k <= (int) pow(2,cptcoveff); k++){ + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ + if(TKresult[nres]!= k) + continue; fprintf(ficrespij,"\n#****** "); for(j=1;j<=cptcoveff;j++) fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } fprintf(ficrespij,"******\n"); for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ @@ -8737,7 +9399,7 @@ int hPijx(double *p, int bage, int fage) p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); oldm=oldms;savm=savms; - hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); + hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres); fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate+ndeath;j++) @@ -8767,7 +9429,7 @@ int hPijx(double *p, int bage, int fage) int ageminl; int hstepm; int nhstepm; - int h, i, i1, j, k; + int h, i, i1, j, k, nres; double agedeb; double ***p3mat; @@ -8795,48 +9457,54 @@ int hPijx(double *p, int bage, int fage) /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ /* k=k+1; */ - for (k=1; k <= (int) pow(2,cptcoveff); k++){ - fprintf(ficrespijb,"\n#****** "); - for(j=1;j<=cptcoveff;j++) - fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficrespijb,"******\n"); - if(invalidvarcomb[k]){ - fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); - continue; - } - - /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ - for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ - /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ - nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ - nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 */ - - /* nhstepm=nhstepm*YEARM; aff par mois*/ - - p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - /* 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="); - for(i=1; i<=nlstate;i++) - for(j=1; j<=nlstate+ndeath;j++) - fprintf(ficrespijb," %1d-%1d",i,j); - fprintf(ficrespijb,"\n"); - for (h=0; h<=nhstepm; h++){ - /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ - fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); - /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ + if(TKresult[nres]!= k) + continue; + fprintf(ficrespijb,"\n#****** "); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + fprintf(ficrespijb,"******\n"); + if(invalidvarcomb[k]){ + fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); + continue; + } + + /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ + for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ + /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ + nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 */ + + /* nhstepm=nhstepm*YEARM; aff par mois*/ + + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + /* 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="); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate+ndeath;j++) - fprintf(ficrespijb," %.5f", p3mat[i][j][h]); + fprintf(ficrespijb," %1d-%1d",i,j); fprintf(ficrespijb,"\n"); - } - free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - fprintf(ficrespijb,"\n"); - } - /*}*/ - } + for (h=0; h<=nhstepm; h++){ + /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ + fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); + /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate+ndeath;j++) + fprintf(ficrespijb," %.5f", p3mat[i][j][h]); + fprintf(ficrespijb,"\n"); + } + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + fprintf(ficrespijb,"\n"); + } /* end age deb */ + } /* end combination */ + } /* end nres */ return 0; } /* hBijx */ @@ -8863,6 +9531,7 @@ int main(int argc, char *argv[]) int itimes; int NDIM=2; int vpopbased=0; + int nres=0; char ca[32], cb[32]; /* FILE *fichtm; *//* Html File */ @@ -8881,7 +9550,7 @@ int main(int argc, char *argv[]) char line[MAXLINE]; char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; - char model[MAXLINE], modeltemp[MAXLINE]; + char modeltemp[MAXLINE]; char resultline[MAXLINE]; char pathr[MAXLINE], pathimach[MAXLINE]; @@ -9195,7 +9864,7 @@ int main(int argc, char *argv[]) covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */ coqvar=matrix(1,nqv,1,n); /**< Fixed quantitative covariate */ - cotvar=ma3x(1,maxwav,1,ntv,1,n); /**< Time varying covariate */ + cotvar=ma3x(1,maxwav,1,ntv+nqtv,1,n); /**< Time varying covariate (dummy and quantitative)*/ cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< Time varying quantitative covariate */ cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 @@ -9218,6 +9887,12 @@ int main(int argc, char *argv[]) delti=delti3[1][1]; /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/ if(mle==-1){ /* Print a wizard for help writing covariance matrix */ +/* We could also provide initial parameters values giving by simple logistic regression + * only one way, that is without matrix product. We will have nlstate maximizations */ + /* for(i=1;i=1){ /* Could be 1 or 2, Real Maximization */ /* mlikeli uses func not funcone */ + /* for(i=1;i