--- imach/src/imach.c 2016/08/23 16:51:20 1.234 +++ imach/src/imach.c 2017/05/13 07:26:12 1.266 @@ -1,6 +1,106 @@ -/* $Id: imach.c,v 1.234 2016/08/23 16:51:20 brouard Exp $ +/* $Id: imach.c,v 1.266 2017/05/13 07:26:12 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + Revision 1.266 2017/05/13 07:26:12 brouard + Summary: Version 0.99r13 (improvements and bugs fixed) + + Revision 1.265 2017/04/26 16:22:11 brouard + Summary: imach 0.99r13 Some bugs fixed + + Revision 1.264 2017/04/26 06:01:29 brouard + Summary: Labels in graphs + + Revision 1.263 2017/04/24 15:23:15 brouard + Summary: to save + + Revision 1.262 2017/04/18 16:48:12 brouard + *** empty log message *** + + Revision 1.261 2017/04/05 10:14:09 brouard + Summary: Bug in E_ as well as in T_ fixed nres-1 vs k1-1 + + Revision 1.260 2017/04/04 17:46:59 brouard + Summary: Gnuplot indexations fixed (humm) + + Revision 1.259 2017/04/04 13:01:16 brouard + Summary: Some errors to warnings only if date of death is unknown but status is death we could set to pi3 + + Revision 1.258 2017/04/03 10:17:47 brouard + Summary: Version 0.99r12 + + Some cleanings, conformed with updated documentation. + + Revision 1.257 2017/03/29 16:53:30 brouard + Summary: Temp + + Revision 1.256 2017/03/27 05:50:23 brouard + Summary: Temporary + + Revision 1.255 2017/03/08 16:02:28 brouard + Summary: IMaCh version 0.99r10 bugs in gnuplot fixed + + Revision 1.254 2017/03/08 07:13:00 brouard + Summary: Fixing data parameter line + + Revision 1.253 2016/12/15 11:59:41 brouard + Summary: 0.99 in progress + + Revision 1.252 2016/09/15 21:15:37 brouard + *** empty log message *** + + Revision 1.251 2016/09/15 15:01:13 brouard + Summary: not working + + Revision 1.250 2016/09/08 16:07:27 brouard + Summary: continue + + Revision 1.249 2016/09/07 17:14:18 brouard + Summary: Starting values from frequencies + + Revision 1.248 2016/09/07 14:10:18 brouard + *** empty log message *** + + 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 *** @@ -75,9 +175,7 @@ Author: Nicolas Brouard Revision 1.210 2015/11/18 17:41:20 brouard - Summary: Start working on projected prevalences - - Revision 1.209 2015/11/17 22:12:03 brouard + Summary: Start working on projected prevalences Revision 1.209 2015/11/17 22:12:03 brouard Summary: Adding ftolpl parameter Author: N Brouard @@ -865,7 +963,7 @@ typedef struct { /* #include */ /* #define _(String) gettext (String) */ -#define MAXLINE 1024 /* Was 256. Overflow with 312 with 2 states and 4 covariates. Should be ok */ +#define MAXLINE 2048 /* Was 256 and 1024. Overflow with 312 with 2 states and 4 covariates. Should be ok */ #define GNUPLOTPROGRAM "gnuplot" /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ @@ -902,12 +1000,12 @@ typedef struct { #define ODIRSEPARATOR '\\' #endif -/* $Id: imach.c,v 1.234 2016/08/23 16:51:20 brouard Exp $ */ +/* $Id: imach.c,v 1.266 2017/05/13 07:26:12 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: 1.234 $ $Date: 2016/08/23 16:51:20 $"; +char fullversion[]="$Revision: 1.266 $ $Date: 2017/05/13 07:26:12 $"; char strstart[80]; char optionfilext[10], optionfilefiname[FILENAMELENGTH]; int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ @@ -1020,7 +1118,8 @@ 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 @@ -1105,6 +1204,17 @@ int *TvarsDind; int *TvarsQ; int *TvarsQind; +#define MAXRESULTLINES 10 +int nresult=0; +int parameterline=0; /* # of the parameter (type) line */ +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 */ @@ -1126,6 +1236,8 @@ double *Tvalsel; /**< Selected modality 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*/ @@ -1135,11 +1247,10 @@ 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; @@ -2038,10 +2149,10 @@ 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; @@ -2073,31 +2184,64 @@ 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 */ @@ -2151,7 +2295,8 @@ 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 */ @@ -2197,7 +2342,7 @@ 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]; @@ -2294,8 +2439,8 @@ void powell(double p[], double **xi, int flatd++; } if(flatd >0){ - printf("%d flat directions\n",flatd); - fprintf(ficlog,"%d flat directions\n",flatd); + printf("%d flat directions: ",flatd); + fprintf(ficlog,"%d flat directions :",flatd); for (j=1;j<=n;j++) { if(flatdir[j]>0){ printf("%d ",j); @@ -2333,9 +2478,11 @@ void powell(double p[], double **xi, int /**** 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) + 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 combiation ij by left multiplying the unit + /* 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 */ @@ -2387,27 +2534,36 @@ double **prevalim(double **prlim, int nl 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 ij=%d k=%d TvarsD[%d]=%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)); + /* 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]]=qselvar[k]; */ - printf("prevalim ij=%d k=%d TvarsQind[%d]=%d \n",ij,k,k,TvarsQind[k]); + 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]); */ } - /*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++){ + 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]]=qselvar[k]; */ + cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; } - printf("prevalim Age ij=%d k=%d Tage[%d]=%d \n",ij,k,k,Tage[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++){ /* */ - printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=%d, Tvard[%d][2]=%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,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<=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]);*/ @@ -2466,9 +2622,9 @@ 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 + /* Computes the prevalence limit in each live state at age x and for covariate combination ij (<=2**cptcoveff) 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 */ @@ -2489,6 +2645,7 @@ 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(); @@ -2503,12 +2660,12 @@ Earliest age to start was %d-%d=%d, ncvl max=vector(1,nlstate); meandiff=vector(1,nlstate); - dnewm=ddnewms; doldm=ddoldms; dsavm=ddsavms; - oldm=oldms; savm=savms; - - /* Starting with matrix unity */ - for (ii=1;ii<=nlstate+ndeath;ii++) - for (j=1;j<=nlstate+ndeath;j++){ + dnewm=ddnewms; doldm=ddoldms; dsavm=ddsavms; + oldm=oldms; savm=savms; + + /* Starting with matrix unity */ + for (ii=1;ii<=nlstate+ndeath;ii++) + for (j=1;j<=nlstate+ndeath;j++){ oldm[ii][j]=(ii==j ? 1.0 : 0.0); } @@ -2525,17 +2682,49 @@ 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])]); */ - } - /*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("bprevalim Dummy agefin=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agefin,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[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]]; + } + } + } /*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]);*/ @@ -2550,8 +2739,27 @@ Earliest age to start was %d-%d=%d, ncvl /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, ageminpar, agemaxpar, dnewm, doldm, dsavm,ij)); /\* Bug Valgrind *\/ */ /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij)); /\* Bug Valgrind *\/ */ out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij)); /* Bug Valgrind */ + /* if((int)age == 70){ */ + /* printf(" Backward prevalim age=%d agefin=%d \n", (int) age, (int) agefin); */ + /* for(i=1; i<=nlstate+ndeath; i++) { */ + /* printf("%d newm= ",i); */ + /* for(j=1;j<=nlstate+ndeath;j++) { */ + /* printf("%f ",newm[i][j]); */ + /* } */ + /* printf("oldm * "); */ + /* for(j=1;j<=nlstate+ndeath;j++) { */ + /* printf("%f ",oldm[i][j]); */ + /* } */ + /* printf(" pmmij "); */ + /* for(j=1;j<=nlstate+ndeath;j++) { */ + /* printf("%f ",pmmij[i][j]); */ + /* } */ + /* printf("\n"); */ + /* } */ + /* } */ savm=oldm; oldm=newm; + for(j=1; j<=nlstate; j++){ max[j]=0.; min[j]=1.; @@ -2582,7 +2790,12 @@ 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); @@ -2597,7 +2810,7 @@ Oldest age to start was %d-%d=%d, ncvloo double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate ) { /* According to parameters values stored in x and the covariate's values stored in cov, - computes the probability to be observed in state j being in state i by appying the + computes the probability to be observed in state j (after stepm years) being in state i by appying the model to the ncovmodel covariates (including constant and age). lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc] and, according on how parameters are entered, the position of the coefficient xij(nc) of the @@ -2606,8 +2819,9 @@ double **pmij(double **ps, double *cov, j>=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation, sums on j different of i to get 1-pii/pii, deduces pii, and then all pij. - Outputs ps[i][j] the probability to be observed in j being in j according to + Outputs ps[i][j] or probability to be observed in j being in i according to the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij] + Sum on j ps[i][j] should equal to 1. */ double s1, lnpijopii; /*double t34;*/ @@ -2671,7 +2885,7 @@ double **pmij(double **ps, double *cov, /* for(i=1; i<= npar; i++) printf("%f ",x[i]); goto end;*/ - return ps; + return ps; /* Pointer is unchanged since its call */ } /*************** backward transition probabilities ***************/ @@ -2680,8 +2894,8 @@ double **pmij(double **ps, double *cov, /* double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, double ***dnewm, double **doldm, double **dsavm, int ij ) */ double **bmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate, double ***prevacurrent, int ij ) { - /* Computes the backward probability at age agefin and covariate ij - * and returns in **ps as well as **bmij. + /* Computes the backward probability at age agefin and covariate combination ij. In fact cov is already filled and x too. + * Call to pmij(cov and x), call to cross prevalence, sums and inverses, left multiply, and returns in **ps as well as **bmij. */ int i, ii, j,k; @@ -2698,42 +2912,56 @@ double **pmij(double **ps, double *cov, agefin=cov[2]; /* bmij *//* age is cov[2], ij is included in cov, but we need for - the observed prevalence (with this covariate ij) */ - dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); + the observed prevalence (with this covariate ij) at beginning of transition */ + /* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ + pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm */ + /* outputs pmmij which is a stochastic matrix */ /* We do have the matrix Px in savm and we need pij */ for (j=1;j<=nlstate+ndeath;j++){ - sumnew=0.; /* w1 p11 + w2 p21 only on live states */ + sumnew=0.; /* w1 p11 + w2 p21 only on live states N1./N..*N11/N1. + N2./N..*N21/N2.=(N11+N21)/N..=N.1/N.. */ for (ii=1;ii<=nlstate;ii++){ - sumnew+=dsavm[ii][j]*prevacurrent[(int)agefin][ii][ij]; + /* sumnew+=dsavm[ii][j]*prevacurrent[(int)agefin][ii][ij]; */ + sumnew+=pmmij[ii][j]*prevacurrent[(int)agefin][ii][ij]; /* Yes prevalence at beginning of transition */ } /* sumnew is (N11+N21)/N..= N.1/N.. = sum on i of w_i pij */ - for (ii=1;ii<=nlstate+ndeath;ii++){ - if(sumnew >= 1.e-10){ + if(sumnew >= 1.e-10){ + for (ii=1;ii<=nlstate+ndeath;ii++){ /* if(agefin >= agemaxpar && agefin <= agemaxpar+stepm/YEARM){ */ /* doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); */ /* }else if(agefin >= agemaxpar+stepm/YEARM){ */ /* doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); */ /* }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); - } - } /*End ii */ - } /* End j, At the end doldm is diag[1/(w_1p1i+w_2 p2i)] */ - /* left Product of this diag matrix by dsavm=Px (newm=dsavm*doldm) */ - bbmij=matprod2(dnewm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, doldm); /* Bug Valgrind */ + } /*End ii */ + }else{ /* We put the identity matrix */ + for (ii=1;ii<=nlstate+ndeath;ii++){ + doldm[ii][j]=(ii==j ? 1. : 0.0); + } /*End ii */ + /* printf("Problem internal bmij A: sum_i w_i*p_ij=N.j/N.. <1.e-10 i=%d, j=%d, sumnew=%lf,agefin=%d\n",ii,j,sumnew, (int)agefin); */ + } + } /* End j, At the end doldm is diag[1/(w_1p1i+w_2 p2i)] or identity*/ + /* left Product of this diag matrix by dsavm=Px (dnewm=dsavm*doldm) */ + /* bbmij=matprod2(dnewm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, doldm); /\* Bug Valgrind *\/ */ + bbmij=matprod2(dnewm, pmmij,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, doldm); /* Bug Valgrind */ /* dsavm=doldm; /\* dsavm is now diag [1/(w_1p1i+w_2 p2i)] but can be overwritten*\/ */ /* doldm=dnewm; /\* doldm is now Px * diag [1/(w_1p1i+w_2 p2i)] *\/ */ /* dnewm=dsavm; /\* doldm is now Px * diag [1/(w_1p1i+w_2 p2i)] *\/ */ /* left Product of this matrix by diag matrix of prevalences (savm) */ for (j=1;j<=nlstate+ndeath;j++){ + sumnew=0.; for (ii=1;ii<=nlstate+ndeath;ii++){ + sumnew+=prevacurrent[(int)agefin][ii][ij]; dsavm[ii][j]=(ii==j ? prevacurrent[(int)agefin][ii][ij] : 0.0); } - } /* End j, At the end oldm is diag[1/(w_1p1i+w_2 p2i)] */ - ps=matprod2(doldm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dnewm); /* Bug Valgrind */ + /* if(sumnew <0.9){ */ + /* printf("Problem internal bmij B: sum on i wi <0.9: j=%d, sum_i wi=%lf,agefin=%d\n",j,sumnew, (int)agefin); */ + /* } */ + } /* End j, At the end dsavm is diag[(w_i)] */ + /* What if dsavm doesn't sum ii to 1? */ + /* ps=matprod2(doldm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dnewm); /\* Bug Valgrind *\/ */ + ps=matprod2(ps, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dnewm); /* Bug Valgrind */ /* newm or out is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */ /* end bmij */ - return ps; + return ps; /*pointer is unchanged */ } /*************** transition probabilities ***************/ @@ -2856,7 +3084,7 @@ double **matprod2(double **out, double * /************* Higher Matrix Product ***************/ -double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij ) +double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij, int nres ) { /* Computes the transition matrix starting at age 'age' and combination of covariate values corresponding to ij over 'nhstepm*hstepm*stepm' months (i.e. until @@ -2892,16 +3120,34 @@ double ***hpxij(double ***po, int nhstep cov[2]=agexact; if(nagesqr==1) cov[3]= agexact*agexact; - for (k=1; k<=cptcovn;k++) - cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; - /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ - for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */ - /* cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; - /* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */ - for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */ - cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; - /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ + 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("hpxij 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("hPxij 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++){ + 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("hPxij 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++){ /* */ + /* printf("hPxij 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]); */ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; + } + /* for (k=1; k<=cptcovn;k++) */ + /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ + /* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 *\/ */ + /* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; */ + /* for (k=1; k<=cptcovprod;k++) /\* Useless because included in cptcovn *\/ */ + /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; */ /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ @@ -2941,7 +3187,7 @@ double ***hpxij(double ***po, int nhstep /* double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, int ij ) */ double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, int ij ) { - /* Computes the transition matrix starting at age 'age' over + /* For a combination of dummy covariate ij, computes the transition matrix starting at age 'age' over 'nhstepm*hstepm*stepm' months (i.e. until age (in years) age+nhstepm*hstepm*stepm/12) by multiplying nhstepm*hstepm matrices. @@ -2949,18 +3195,19 @@ double ***hbxij(double ***po, int nhstep (typically every 2 years instead of every month which is too big for the memory). Model is determined by parameters x and covariates have to be - included manually here. - + included manually here. Then we use a call to bmij(x and cov) + The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output */ int i, j, d, h, k; - double **out, cov[NCOVMAX+1]; - double **newm; + double **out, cov[NCOVMAX+1], **bmij(); + double **newm, ***newmm; double agexact; double agebegin, ageend; double **oldm, **savm; - oldm=oldms;savm=savms; + newmm=po; /* To be saved */ + oldm=oldms;savm=savms; /* Global pointers */ /* Hstepm could be zero and should return the unit matrix */ for (i=1;i<=nlstate+ndeath;i++) for (j=1;j<=nlstate+ndeath;j++){ @@ -2973,14 +3220,18 @@ double ***hbxij(double ***po, int nhstep newm=savm; /* Covariates have to be included here again */ cov[1]=1.; - agexact=age-((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */ + agexact=age-((h-1)*hstepm + (d))*stepm/YEARM; /* age just before transition, d or d-1? */ /* agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /\* age just before transition *\/ */ cov[2]=agexact; if(nagesqr==1) cov[3]= agexact*agexact; - for (k=1; k<=cptcovn;k++) - cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; - /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ + for (k=1; k<=cptcovn;k++){ + /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */ + /* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */ + cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; + /* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ + + } for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */ /* cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; @@ -2989,11 +3240,10 @@ double ***hbxij(double ***po, int nhstep cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ - /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/ /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/ /* Careful transposed matrix */ - /* age is in cov[2] */ + /* age is in cov[2], prevacurrent at beginning of transition. */ /* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */ /* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */ out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\ @@ -3080,7 +3330,7 @@ double func( double *x) Then computes with function pmij which return a matrix p[i][j] giving the elementary probability to be observed in j being in i according to the model. */ - ioffset=2+nagesqr+cptcovage; + ioffset=2+nagesqr ; /* Fixed */ 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)*/ @@ -3099,7 +3349,8 @@ double func( double *x) */ for(mi=1; mi<= wav[i]-1; mi++){ 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]]][i]; */ + cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; } for (ii=1;ii<=nlstate+ndeath;ii++) for (j=1;j<=nlstate+ndeath;j++){ @@ -3113,7 +3364,10 @@ double func( double *x) if(nagesqr==1) cov[3]= agexact*agexact; /* Should be changed here */ for (kk=1; kk<=cptcovage;kk++) { + if(!FixedV[Tvar[Tage[kk]]]) cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */ + else + cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact; } out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); @@ -3395,7 +3649,8 @@ 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;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ @@ -3422,46 +3677,51 @@ double funcone( double *x) for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ /* 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]]][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]); */ + /* 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]; */ + /* 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); - savm[ii][j]=(ii==j ? 1.0 : 0.0); - } + for (j=1;j<=nlstate+ndeath;j++){ + oldm[ii][j]=(ii==j ? 1.0 : 0.0); + savm[ii][j]=(ii==j ? 1.0 : 0.0); + } 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 nlstate && (mle <5) ){ /* Jackson */ - lli=log(out[s1][s2] - savm[s1][s2]); + lli=log(out[s1][s2] - savm[s1][s2]); } else if ( s2==-1 ) { /* alive */ - for (j=1,survp=0. ; j<=nlstate; j++) - survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; - lli= log(survp); + for (j=1,survp=0. ; j<=nlstate; j++) + survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; + lli= log(survp); }else if (mle==1){ - lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ + lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ } else if(mle==2){ - lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ + lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ } else if(mle==3){ /* exponential inter-extrapolation */ - lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ + lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ } else if (mle==4){ /* mle=4 no inter-extrapolation */ - lli=log(out[s1][s2]); /* Original formula */ + lli=log(out[s1][s2]); /* Original formula */ } else{ /* mle=0 back to 1 */ - lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ - /*lli=log(out[s1][s2]); */ /* Original formula */ + lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */ + /*lli=log(out[s1][s2]); */ /* Original formula */ } /* End of if */ ipmx +=1; sw += weight[i]; ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ if(globpr){ - fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ + fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ %11.6f %11.6f %11.6f ", \ - num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, - 2*weight[i]*lli,out[s1][s2],savm[s1][s2]); - for(k=1,llt=0.,l=0.; k<=nlstate; k++){ - llt +=ll[k]*gipmx/gsw; - fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); - } - fprintf(ficresilk," %10.6f\n", -llt); + num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, + 2*weight[i]*lli,out[s1][s2],savm[s1][s2]); + for(k=1,llt=0.,l=0.; k<=nlstate; k++){ + llt +=ll[k]*gipmx/gsw; + fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); + } + fprintf(ficresilk," %10.6f\n", -llt); } } /* end of wave */ } /* end of individual */ @@ -3855,8 +4115,8 @@ double hessij( double x[], double **hess kmax=kmax+10; } if(kmax >=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); } @@ -3945,7 +4205,16 @@ void ludcmp(double **a, int n, int *indx big=0.0; for (j=1;j<=n;j++) if ((temp=fabs(a[i][j])) > big) big=temp; - if (big == 0.0) nrerror("Singular matrix in routine ludcmp"); + if (big == 0.0){ + printf(" Singular Hessian matrix at row %d:\n",i); + for (j=1;j<=n;j++) { + printf(" a[%d][%d]=%f,",i,j,a[i][j]); + fprintf(ficlog," a[%d][%d]=%f,",i,j,a[i][j]); + } + fflush(ficlog); + fclose(ficlog); + nrerror("Singular matrix in routine ludcmp"); + } vv[i]=1.0/big; } for (j=1;j<=n;j++) { @@ -4011,17 +4280,84 @@ void pstamp(FILE *fichier) fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart); } +int linreg(int ifi, int ila, int *no, const double x[], const double y[], double* a, double* b, double* r, double* sa, double * sb) { + + /* y=a+bx regression */ + double sumx = 0.0; /* sum of x */ + double sumx2 = 0.0; /* sum of x**2 */ + double sumxy = 0.0; /* sum of x * y */ + double sumy = 0.0; /* sum of y */ + double sumy2 = 0.0; /* sum of y**2 */ + double sume2; /* sum of square or residuals */ + double yhat; + + double denom=0; + int i; + int ne=*no; + + for ( i=ifi, ne=0;i<=ila;i++) { + if(!isfinite(x[i]) || !isfinite(y[i])){ + /* printf(" x[%d]=%f, y[%d]=%f\n",i,x[i],i,y[i]); */ + continue; + } + ne=ne+1; + sumx += x[i]; + sumx2 += x[i]*x[i]; + sumxy += x[i] * y[i]; + sumy += y[i]; + sumy2 += y[i]*y[i]; + denom = (ne * sumx2 - sumx*sumx); + /* printf("ne=%d, i=%d,x[%d]=%f, y[%d]=%f sumx=%f, sumx2=%f, sumxy=%f, sumy=%f, sumy2=%f, denom=%f\n",ne,i,i,x[i],i,y[i], sumx, sumx2,sumxy, sumy, sumy2,denom); */ + } + + denom = (ne * sumx2 - sumx*sumx); + if (denom == 0) { + // vertical, slope m is infinity + *b = INFINITY; + *a = 0; + if (r) *r = 0; + return 1; + } + + *b = (ne * sumxy - sumx * sumy) / denom; + *a = (sumy * sumx2 - sumx * sumxy) / denom; + if (r!=NULL) { + *r = (sumxy - sumx * sumy / ne) / /* compute correlation coeff */ + sqrt((sumx2 - sumx*sumx/ne) * + (sumy2 - sumy*sumy/ne)); + } + *no=ne; + for ( i=ifi, ne=0;i<=ila;i++) { + if(!isfinite(x[i]) || !isfinite(y[i])){ + /* printf(" x[%d]=%f, y[%d]=%f\n",i,x[i],i,y[i]); */ + continue; + } + ne=ne+1; + yhat = y[i] - *a -*b* x[i]; + sume2 += yhat * yhat ; + + denom = (ne * sumx2 - sumx*sumx); + /* printf("ne=%d, i=%d,x[%d]=%f, y[%d]=%f sumx=%f, sumx2=%f, sumxy=%f, sumy=%f, sumy2=%f, denom=%f\n",ne,i,i,x[i],i,y[i], sumx, sumx2,sumxy, sumy, sumy2,denom); */ + } + *sb = sqrt(sume2/(ne-2)/(sumx2 - sumx * sumx /ne)); + *sa= *sb * sqrt(sumx2/ne); + + return 0; +} + /************ Frequencies ********************/ -void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ +void freqsummary(char fileres[], double p[], double pstart[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ int firstpass, int lastpass, int stepm, int weightopt, char model[]) -{ /* Some frequencies */ +{ /* Some frequencies as well as proposing some starting values */ - int i, m, jk, j1, bool, z1,j, k, iv; + int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1; int iind=0, iage=0; int mi; /* Effective wave */ int first; double ***freq; /* Frequencies */ + double *x, *y, a,b,r, sa, sb; /* for regression, y=b+m*x and r is the correlation coefficient */ + int no; double *meanq; double **meanqt; double *pp, **prop, *posprop, *pospropt; @@ -4030,7 +4366,7 @@ void freqsummary(char fileres[], int ia double agebegin, ageend; pp=vector(1,nlstate); - prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); + prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+4+AGEMARGE); posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ /* prop=matrix(1,nlstate,iagemin,iagemax+3); */ @@ -4044,7 +4380,7 @@ 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)); @@ -4054,331 +4390,523 @@ 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); - - freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE); + 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); + + y= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); + x= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); + freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+4+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 */ + dateintsum=0; + k2cpt=0; - 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]); - scanf("%d", i);*/ - for (i=-5; i<=nlstate+ndeath; i++) - 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; - posprop[i]=0; - pospropt[i]=0; - } - /* for (z1=1; z1<= nqfveff; z1++) { */ - /* meanq[z1]+=0.; */ - /* for(m=1;m<=lastpass;m++){ */ - /* meanqt[m][z1]=0.; */ - /* } */ - /* } */ - - dateintsum=0; - k2cpt=0; - /* For that combination of covariate j1, we count and print the frequencies in one pass */ - for (iind=1; iind<=imx; iind++) { /* For each individual iind */ - bool=1; - if(anyvaryingduminmodel==0){ /* If All fixed covariates */ - if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ - /* for (z1=1; z1<= nqfveff; z1++) { */ - /* meanq[z1]+=coqvar[Tvar[z1]][iind]; /\* Computes mean of quantitative with selected filter *\/ */ - /* } */ - for (z1=1; z1<=cptcoveff; z1++) { - /* if(Tvaraff[z1] ==-20){ */ - /* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ - /* }else if(Tvaraff[z1] ==-10){ */ - /* /\* sumnew+=coqvar[z1][iind]; *\/ */ - /* }else */ - if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ - /* Tests if this individual iind responded to j1 (V4=1 V3=0) */ - bool=0; - /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", - bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), - j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ - /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ - } /* Onlyf fixed */ - } /* end z1 */ - } /* cptcovn > 0 */ - } /* end any */ - if (bool==1){ /* We selected an individual iind satisfying combination j1 or all fixed */ - /* for(m=firstpass; m<=lastpass; m++){ */ - for(mi=1; mi0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ + /* for (z1=1; z1<= nqfveff; z1++) { */ + /* meanq[z1]+=coqvar[Tvar[z1]][iind]; /\* Computes mean of quantitative with selected filter *\/ */ + /* } */ + for (z1=1; z1<=cptcoveff; z1++) { /* loops on covariates in the model */ + /* if(Tvaraff[z1] ==-20){ */ + /* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ + /* }else if(Tvaraff[z1] ==-10){ */ + /* /\* sumnew+=coqvar[z1][iind]; *\/ */ + /* }else */ + if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ /* for combination j1 of covariates */ + /* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ + bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ + /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", + bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), + j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ + /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ + } /* Onlyf fixed */ + } /* end z1 */ + } /* cptcovn > 0 */ + } /* end any */ + }/* end j==0 */ + if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */ + /* for(m=firstpass; m<=lastpass; m++){ */ + for(mi=1; mi=firstpass && m <=lastpass){ + k2=anint[m][iind]+(mint[m][iind]/12.); + /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ + if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ + if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ + if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ + prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ + if (m1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99) && (j==0)) { + dateintsum=dateintsum+k2; /* on all covariates ?*/ + k2cpt++; + /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ } + }else{ + bool=1; + }/* end bool 2 */ + } /* end m */ + } /* end bool */ + } /* 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);*/ + if(cptcoveff==0 && nj==1) /* no covariate and first pass */ + pstamp(ficresp); + if (cptcoveff>0 && j!=0){ + pstamp(ficresp); + printf( "\n#********** Variable "); + fprintf(ficresp, "\n#********** Variable "); + fprintf(ficresphtm, "\n

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

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

\n"); + fprintf(ficresphtmfr, "**********\n"); + fprintf(ficlog, "**********\n"); + } + fprintf(ficresphtm,""); + if((cptcoveff==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ + fprintf(ficresp, " Age"); + if(nj==2) for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + for(i=1; i<=nlstate;i++) { + if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i); + fprintf(ficresphtm, "",i,i); + } + if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp, "\n"); + fprintf(ficresphtm, "\n"); + + /* Header of frequency table by age */ + fprintf(ficresphtmfr,"
AgePrev(%d)N(%d)N
"); + fprintf(ficresphtmfr," "); + for(s2=-1; s2 <=nlstate+ndeath; s2++){ + for(m=-1; m <=nlstate+ndeath; m++){ + if(s2!=0 && m!=0) + fprintf(ficresphtmfr," ",s2,m); + } + } + fprintf(ficresphtmfr, "\n"); + + /* For each age */ + for(iage=iagemin; iage <= iagemax+3; iage++){ + fprintf(ficresphtm,""); + if(iage==iagemax+1){ + fprintf(ficlog,"1"); + fprintf(ficresphtmfr," "); + }else if(iage==iagemax+2){ + fprintf(ficlog,"0"); + fprintf(ficresphtmfr," "); + }else if(iage==iagemax+3){ + fprintf(ficlog,"Total"); + fprintf(ficresphtmfr," "); + }else{ + if(first==1){ + first=0; + printf("See log file for details...\n"); + } + fprintf(ficresphtmfr," ",iage); + fprintf(ficlog,"Age %d", iage); + } + for(s1=1; s1 <=nlstate ; s1++){ + for(m=-1, pp[s1]=0; m <=nlstate+ndeath ; m++) + pp[s1] += freq[s1][m][iage]; + } + for(s1=1; s1 <=nlstate ; s1++){ + for(m=-1, pos=0; m <=0 ; m++) + pos += freq[s1][m][iage]; + if(pp[s1]>=1.e-10){ + if(first==1){ + printf(" %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]); + } + fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]); + }else{ + if(first==1) + printf(" %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1); + fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1); + } + } + + for(s1=1; s1 <=nlstate ; s1++){ + /* posprop[s1]=0; */ + for(m=0, pp[s1]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ + pp[s1] += freq[s1][m][iage]; + } /* pp[s1] is the total number of transitions starting from state s1 and any ending status until this age */ + + for(s1=1,pos=0, pospropta=0.; s1 <=nlstate ; s1++){ + pos += pp[s1]; /* pos is the total number of transitions until this age */ + posprop[s1] += prop[s1][iage]; /* prop is the number of transitions from a live state + from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ + pospropta += prop[s1][iage]; /* prop is the number of transitions from a live state + from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ + } + + /* Writing ficresp */ + if(cptcoveff==0 && nj==1){ /* no covariate and first pass */ + if( iage <= iagemax){ + fprintf(ficresp," %d",iage); + } + }else if( nj==2){ + if( iage <= iagemax){ + fprintf(ficresp," %d",iage); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + } + } + for(s1=1; s1 <=nlstate ; s1++){ + if(pos>=1.e-5){ + if(first==1) + printf(" %d.=%.0f prev[%d]=%.1f%%",s1,pp[s1],s1,100*pp[s1]/pos); + fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",s1,pp[s1],s1,100*pp[s1]/pos); + }else{ + if(first==1) + printf(" %d.=%.0f prev[%d]=NaNQ%%",s1,pp[s1],s1); + fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",s1,pp[s1],s1); + } + if( iage <= iagemax){ + if(pos>=1.e-5){ + if(cptcoveff==0 && nj==1){ /* no covariate and first pass */ + fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); + }else if( nj==2){ + fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); + } + fprintf(ficresphtm,"",iage,prop[s1][iage]/pospropta, prop[s1][iage],pospropta); + /*probs[iage][s1][j1]= pp[s1]/pos;*/ + /*printf("\niage=%d s1=%d j1=%d %.5f %.0f %.0f %f",iage,s1,j1,pp[s1]/pos, pp[s1],pos,probs[iage][s1][j1]);*/ + } else{ + if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," NaNq %.0f %.0f",prop[s1][iage],pospropta); + fprintf(ficresphtm,"",iage, prop[s1][iage],pospropta); } - }/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop */ - /* bool =0 we keep that guy which corresponds to the combination of dummy values */ - if(bool==1){ - /* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind] - and mw[mi+1][iind]. dh depends on stepm. */ - agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/ - ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */ - if(m >=firstpass && m <=lastpass){ - k2=anint[m][iind]+(mint[m][iind]/12.); - /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ - if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ - if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ - if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ - prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ - if (m1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) { - dateintsum=dateintsum+k2; - k2cpt++; - /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ + /* printf(" %d%d=%.0f",s1,m,freq[s1][m][iage]); */ + fprintf(ficlog," %d%d=%.0f",s1,m,freq[s1][m][iage]); } - } /* end bool 2 */ - } /* end m */ - } /* end bool */ - } /* 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) { - fprintf(ficresp, "\n#********** Variable "); - fprintf(ficresphtm, "\n

********** Variable "); - fprintf(ficresphtmfr, "\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)]); - } - 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,"
Age%d%d
0
Unknown
Total
%d%d%.5f%.0f%.0f%dNaNq%.0f%.0f
"); - for(i=1; i<=nlstate;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," "); - for(jk=-1; jk <=nlstate+ndeath; jk++){ - for(m=-1; m <=nlstate+ndeath; m++){ - if(jk!=0 && m!=0) - fprintf(ficresphtmfr," ",jk,m); - } - } - fprintf(ficresphtmfr, "\n"); - - /* For each age */ - for(iage=iagemin; iage <= iagemax+3; iage++){ - fprintf(ficresphtm,""); - if(iage==iagemax+1){ - fprintf(ficlog,"1"); - fprintf(ficresphtmfr," "); - }else if(iage==iagemax+2){ - fprintf(ficlog,"0"); - fprintf(ficresphtmfr," "); - }else if(iage==iagemax+3){ - fprintf(ficlog,"Total"); - fprintf(ficresphtmfr," "); - }else{ - if(first==1){ - first=0; - printf("See log file for details...\n"); - } - fprintf(ficresphtmfr," ",iage); - fprintf(ficlog,"Age %d", iage); - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) - pp[jk] += freq[jk][m][iage]; - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pos=0; m <=0 ; m++) - pos += freq[jk][m][iage]; - if(pp[jk]>=1.e-10){ - if(first==1){ - printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); - } - fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); - }else{ - if(first==1) - printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); - fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); - } - } - - for(jk=1; jk <=nlstate ; jk++){ - /* 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 - from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ - pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state - from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ - } - for(jk=1; jk <=nlstate ; jk++){ - if(pos>=1.e-5){ - if(first==1) - printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); - fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); - }else{ - if(first==1) - printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); - fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); - } - if( iage <= iagemax){ - if(pos>=1.e-5){ - fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); - fprintf(ficresphtm,"",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); - /*probs[iage][jk][j1]= pp[jk]/pos;*/ - /*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/ - } - else{ - fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta); - fprintf(ficresphtm,"",iage, prop[jk][iage],pospropta); - } - } - pospropt[jk] +=posprop[jk]; - } /* end loop jk */ - /* pospropt=0.; */ - for(jk=-1; jk <=nlstate+ndeath; jk++){ - for(m=-1; m <=nlstate+ndeath; m++){ - if(freq[jk][m][iage] !=0 ) { /* minimizing output */ - if(first==1){ - printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); - } - fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]); - } - if(jk!=0 && m!=0) - fprintf(ficresphtmfr," ",freq[jk][m][iage]); - } - } /* end loop jk */ - posproptt=0.; - for(jk=1; jk <=nlstate; jk++){ - posproptt += pospropt[jk]; - } - fprintf(ficresphtmfr,"\n "); - if(iage <= iagemax){ - fprintf(ficresp,"\n"); - fprintf(ficresphtm,"\n"); + if(s1!=0 && m!=0) + fprintf(ficresphtmfr," ",freq[s1][m][iage]); + } + } /* end loop s1 */ + posproptt=0.; + for(s1=1; s1 <=nlstate; s1++){ + posproptt += pospropt[s1]; + } + fprintf(ficresphtmfr,"\n "); + fprintf(ficresphtm,"\n"); + if((cptcoveff==0 && nj==1)|| nj==2 ) { + if(iage <= iagemax) + fprintf(ficresp,"\n"); + } + if(first==1) + printf("Others in log...\n"); + fprintf(ficlog,"\n"); + } /* end loop age iage */ + + fprintf(ficresphtm,""); + for(s1=1; s1 <=nlstate ; s1++){ + if(posproptt < 1.e-5){ + fprintf(ficresphtm,"",pospropt[s1],posproptt); + }else{ + fprintf(ficresphtm,"",pospropt[s1]/posproptt,pospropt[s1],posproptt); + } } - if(first==1) - printf("Others in log...\n"); - fprintf(ficlog,"\n"); - } /* end loop age iage */ - fprintf(ficresphtm,""); - for(jk=1; jk <=nlstate ; jk++){ + fprintf(ficresphtm,"\n"); + fprintf(ficresphtm,"
Age%d%d
0
Unknown
Total
%d%d%.5f%.0f%.0f%dNaNq%.0f%.0f%.0f
%.0f
TotNanq%.0f%.0f%.5f%.0f%.0f
Tot
\n"); + fprintf(ficresphtmfr,"\n"); if(posproptt < 1.e-5){ - fprintf(ficresphtm,"Nanq%.0f%.0f",pospropt[jk],posproptt); + fprintf(ficresphtm,"\n

This combination (%d) is not valid and no result will be produced

",j1); + fprintf(ficresphtmfr,"\n

This combination (%d) is not valid and no result will be produced

",j1); + fprintf(ficlog,"# This combination (%d) is not valid and no result will be produced\n",j1); + printf("# This combination (%d) is not valid and no result will be produced\n",j1); + invalidvarcomb[j1]=1; }else{ - fprintf(ficresphtm,"%.5f%.0f%.0f",pospropt[jk]/posproptt,pospropt[jk],posproptt); + fprintf(ficresphtm,"\n

This combination (%d) is valid and result will be produced.

",j1); + invalidvarcomb[j1]=0; } - } - fprintf(ficresphtm,"\n"); - fprintf(ficresphtm,"\n"); - fprintf(ficresphtmfr,"\n"); - if(posproptt < 1.e-5){ - fprintf(ficresphtm,"\n

This combination (%d) is not valid and no result will be produced

",j1); - fprintf(ficresphtmfr,"\n

This combination (%d) is not valid and no result will be produced

",j1); - fprintf(ficres,"\n This combination (%d) is not valid and no result will be produced\n\n",j1); - invalidvarcomb[j1]=1; - }else{ - fprintf(ficresphtm,"\n

This combination (%d) is valid and result will be produced.

",j1); - invalidvarcomb[j1]=0; - } - fprintf(ficresphtmfr,"\n"); - } /* end selected combination of covariate j1 */ - dateintmean=dateintsum/k2cpt; - - fclose(ficresp); - fclose(ficresphtm); - fclose(ficresphtmfr); - free_vector(meanq,1,nqfveff); - free_matrix(meanqt,1,lastpass,1,nqtveff); - free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE); - free_vector(pospropt,1,nlstate); - free_vector(posprop,1,nlstate); - free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE); - free_vector(pp,1,nlstate); - /* End of freqsummary */ -} - -/************ Prevalence ********************/ -void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) -{ - /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people - in each health status at the date of interview (if between dateprev1 and dateprev2). - We still use firstpass and lastpass as another selection. - */ - - int i, m, jk, j1, bool, z1,j, iv; + fprintf(ficresphtmfr,"\n"); + fprintf(ficlog,"\n"); + if(j!=0){ + printf("#Freqsummary: Starting values for combination j1=%d:\n", j1); + for(i=1,s1=1; i <=nlstate; i++){ + for(k=1; k <=(nlstate+ndeath); k++){ + if (k != i) { + for(jj=1; jj <=ncovmodel; jj++){ /* For counting s1 */ + if(jj==1){ /* Constant case (in fact cste + age) */ + if(j1==1){ /* All dummy covariates to zero */ + freq[i][k][iagemax+4]=freq[i][k][iagemax+3]; /* Stores case 0 0 0 */ + freq[i][i][iagemax+4]=freq[i][i][iagemax+3]; /* Stores case 0 0 0 */ + printf("%d%d ",i,k); + fprintf(ficlog,"%d%d ",i,k); + printf("%12.7f ln(%.0f/%.0f)= %f, OR=%f sd=%f \n",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]),freq[i][k][iagemax+3]/freq[i][i][iagemax+3], sqrt(1/freq[i][k][iagemax+3]+1/freq[i][i][iagemax+3])); + fprintf(ficlog,"%12.7f ln(%.0f/%.0f)= %12.7f \n",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])); + pstart[s1]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]); + } + }else if((j1==1) && (jj==2 || nagesqr==1)){ /* age or age*age parameter without covariate V4*age (to be done later) */ + for(iage=iagemin; iage <= iagemax+3; iage++){ + x[iage]= (double)iage; + y[iage]= log(freq[i][k][iage]/freq[i][i][iage]); + /* printf("i=%d, k=%d, s1=%d, j1=%d, jj=%d, y[%d]=%f\n",i,k,s1,j1,jj, iage, y[iage]); */ + } + linreg(iagemin,iagemax,&no,x,y,&a,&b,&r, &sa, &sb ); /* y= a+b*x with standard errors */ + pstart[s1]=b; + pstart[s1-1]=a; + }else if( j1!=1 && (j1==2 || (log(j1-1.)/log(2.)-(int)(log(j1-1.)/log(2.))) <0.010) && ( TvarsDind[(int)(log(j1-1.)/log(2.))+1]+2+nagesqr == jj) && Dummy[jj-2-nagesqr]==0){ /* We want only if the position, jj, in model corresponds to unique covariate equal to 1 in j1 combination */ + printf("j1=%d, jj=%d, (int)(log(j1-1.)/log(2.))+1=%d, TvarsDind[(int)(log(j1-1.)/log(2.))+1]=%d\n",j1, jj,(int)(log(j1-1.)/log(2.))+1,TvarsDind[(int)(log(j1-1.)/log(2.))+1]); + printf("j1=%d, jj=%d, (log(j1-1.)/log(2.))+1=%f, TvarsDind[(int)(log(j1-1.)/log(2.))+1]=%d\n",j1, jj,(log(j1-1.)/log(2.))+1,TvarsDind[(int)(log(j1-1.)/log(2.))+1]); + pstart[s1]= log((freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4])); + printf("%d%d ",i,k); + fprintf(ficlog,"%d%d ",i,k); + printf("s1=%d,i=%d,k=%d,p[%d]=%12.7f ln((%.0f/%.0f)/(%.0f/%.0f))= %f, OR=%f sd=%f \n",s1,i,k,s1,p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3],freq[i][k][iagemax+4],freq[i][i][iagemax+4], log((freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4])),(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4]), sqrt(1/freq[i][k][iagemax+3]+1/freq[i][i][iagemax+3]+1/freq[i][k][iagemax+4]+1/freq[i][i][iagemax+4])); + }else{ /* Other cases, like quantitative fixed or varying covariates */ + ; + } + /* printf("%12.7f )", param[i][jj][k]); */ + /* fprintf(ficlog,"%12.7f )", param[i][jj][k]); */ + s1++; + } /* end jj */ + } /* end k!= i */ + } /* end k */ + } /* end i, s1 */ + } /* end j !=0 */ + } /* end selected combination of covariate j1 */ + if(j==0){ /* We can estimate starting values from the occurences in each case */ + printf("#Freqsummary: Starting values for the constants:\n"); + fprintf(ficlog,"\n"); + for(i=1,s1=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(jj=1; jj <=ncovmodel; jj++){ + pstart[s1]=p[s1]; /* Setting pstart to p values by default */ + if(jj==1){ /* Age has to be done */ + pstart[s1]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]); + printf("%12.7f ln(%.0f/%.0f)= %12.7f ",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])); + fprintf(ficlog,"%12.7f ln(%.0f/%.0f)= %12.7f ",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])); + } + /* printf("%12.7f )", param[i][jj][k]); */ + /* fprintf(ficlog,"%12.7f )", param[i][jj][k]); */ + s1++; + } + printf("\n"); + fprintf(ficlog,"\n"); + } + } + } + printf("#Freqsummary\n"); + fprintf(ficlog,"\n"); + for(s1=-1; s1 <=nlstate+ndeath; s1++){ + for(s2=-1; s2 <=nlstate+ndeath; s2++){ + /* param[i]|j][k]= freq[s1][s2][iagemax+3] */ + printf(" %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); + fprintf(ficlog," %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); + /* if(freq[s1][s2][iage] !=0 ) { /\* minimizing output *\/ */ + /* printf(" %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); */ + /* fprintf(ficlog," %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); */ + /* } */ + } + } /* end loop s1 */ + + printf("\n"); + fprintf(ficlog,"\n"); + } /* end j=0 */ + } /* end j */ + + if(mle == -2){ /* We want to use these values as starting values */ + for(i=1, jk=1; i <=nlstate; i++){ + for(j=1; j <=nlstate+ndeath; j++){ + if(j!=i){ + /*ca[0]= k+'a'-1;ca[1]='\0';*/ + printf("%1d%1d",i,j); + fprintf(ficparo,"%1d%1d",i,j); + for(k=1; k<=ncovmodel;k++){ + /* printf(" %lf",param[i][j][k]); */ + /* fprintf(ficparo," %lf",param[i][j][k]); */ + p[jk]=pstart[jk]; + printf(" %f ",pstart[jk]); + fprintf(ficparo," %f ",pstart[jk]); + jk++; + } + printf("\n"); + fprintf(ficparo,"\n"); + } + } + } + } /* end mle=-2 */ + dateintmean=dateintsum/k2cpt; + + fclose(ficresp); + fclose(ficresphtm); + fclose(ficresphtmfr); + free_vector(meanq,1,nqfveff); + free_matrix(meanqt,1,lastpass,1,nqtveff); + free_vector(x, iagemin-AGEMARGE, iagemax+4+AGEMARGE); + free_vector(y, iagemin-AGEMARGE, iagemax+4+AGEMARGE); + free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+4+AGEMARGE); + free_vector(pospropt,1,nlstate); + free_vector(posprop,1,nlstate); + free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+4+AGEMARGE); + free_vector(pp,1,nlstate); + /* End of freqsummary */ +} + +/************ Prevalence ********************/ +void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass) +{ + /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people + in each health status at the date of interview (if between dateprev1 and dateprev2). + We still use firstpass and lastpass as another selection. + */ + + int i, m, jk, j1, bool, z1,j, iv; int mi; /* Effective wave */ int iage; double agebegin, ageend; @@ -4392,7 +4920,7 @@ void prevalence(double ***probs, double iagemin= (int) agemin; iagemax= (int) agemax; /*pp=vector(1,nlstate);*/ - prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE); + prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+4+AGEMARGE); /* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/ j1=0; @@ -4402,7 +4930,7 @@ void prevalence(double ***probs, double first=1; for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ for (i=1; i<=nlstate; i++) - for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++) + for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++) prop[i][iage]=0.0; printf("Prevalence combination of varying and fixed dummies %d\n",j1); /* fprintf(ficlog," V%d=%d ",Tvaraff[j1],nbcode[Tvaraff[j1]][codtabm(k,j1)]); */ @@ -4433,7 +4961,7 @@ void prevalence(double ***probs, double if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ if(agev[m][i]==0) agev[m][i]=iagemax+1; if(agev[m][i]==1) agev[m][i]=iagemax+2; - if((int)agev[m][i] iagemax+3+AGEMARGE){ + if((int)agev[m][i] iagemax+4+AGEMARGE){ printf("Error on individual # %d agev[m][i]=%f <%d-%d or > %d+3+%d m=%d; either change agemin or agemax or fix data\n",i, agev[m][i],iagemin,AGEMARGE, iagemax,AGEMARGE,m); exit(1); } @@ -4459,7 +4987,10 @@ void prevalence(double ***probs, double } else{ if(first==1){ first=0; - printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,j1,probs[i][jk][j1]); + printf("Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); + fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); + }else{ + fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); } } } @@ -4470,7 +5001,7 @@ void prevalence(double ***probs, double /* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/ /*free_vector(pp,1,nlstate);*/ - free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+3+AGEMARGE); + free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+4+AGEMARGE); } /* End of prevalence */ /************* Waves Concatenation ***************/ @@ -4519,10 +5050,10 @@ void concatwav(int wav[], int **dh, int #else if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ if(firsthree == 0){ - printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as pi. .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); + printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p%d%d .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); firsthree=1; } - fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as pi. .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m); + fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p%d%d .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); mw[++mi][i]=m; mli=m; } @@ -4549,13 +5080,9 @@ void concatwav(int wav[], int **dh, int /* if(mi==0) never been interviewed correctly before death */ /* Only death is a correct wave */ mw[mi][i]=m; - } + } /* else not in a death state */ #ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE - else if ((int) andc[i] != 9999) { /* Status is negative. A death occured after lastpass, we can't take it into account because of potential bias */ - /* m++; */ - /* mi++; */ - /* s[m][i]=nlstate+1; /\* We are setting the status to the last of non live state *\/ */ - /* mw[mi][i]=m; */ + else if ((int) andc[i] != 9999) { /* Date of death is known */ if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* death occured before last wave and status should have been death instead of -1 */ nbwarn++; @@ -4568,12 +5095,12 @@ void concatwav(int wav[], int **dh, int }else{ /* Death occured afer last wave potential bias */ nberr++; if(firstwo==0){ - printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); firstwo=1; } - fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\n\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); } - }else{ /* end date of interview is known */ + }else{ /* if date of interview is unknown */ /* death is known but not confirmed by death status at any wave */ if(firstfour==0){ printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); @@ -4604,7 +5131,7 @@ void concatwav(int wav[], int **dh, int if (stepm <=0) dh[mi][i]=1; else{ - if (s[mw[mi+1][i]][i] > nlstate) { /* A death */ + if (s[mw[mi+1][i]][i] > nlstate) { /* A death, but what if date is unknown? */ if (agedc[i] < 2*AGESUP) { j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); if(j==0) j=1; /* Survives at least one month after exam */ @@ -4691,178 +5218,178 @@ 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 */ + /* 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 */ - ; -} + /* 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 */ @@ -4872,7 +5399,7 @@ 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++){ @@ -4935,7 +5462,7 @@ 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. */ @@ -4970,7 +5497,7 @@ 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 @@ -5083,8 +5610,8 @@ 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++){ @@ -5125,7 +5652,7 @@ 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++){ @@ -5180,7 +5707,7 @@ 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);*/ @@ -5237,6 +5764,14 @@ 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); @@ -5306,7 +5841,7 @@ 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){ @@ -5318,7 +5853,7 @@ 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++) @@ -5338,7 +5873,7 @@ 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){ @@ -5350,7 +5885,7 @@ 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++){ @@ -5415,7 +5950,7 @@ 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){ @@ -5431,7 +5966,7 @@ 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]; @@ -5494,7 +6029,7 @@ 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);*/ @@ -5510,7 +6045,9 @@ 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"); @@ -5537,9 +6074,9 @@ 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]; @@ -5547,9 +6084,9 @@ 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]; @@ -5596,6 +6133,8 @@ 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"); @@ -5689,7 +6228,7 @@ void varprob(char optionfilefiname[], do fprintf(fichtm,"\n

  • Computing and drawing one step probabilities with their confidence intervals

    • \n"); fprintf(fichtm,"\n"); - fprintf(fichtm,"\n

  • Matrix of variance-covariance of one-step probabilities (drawings)

    this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back.
    • \n",optionfilehtmcov); + fprintf(fichtm,"\n

  • Matrix of variance-covariance of one-step probabilities (drawings)

    this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back. %s
    • \n",optionfilehtmcov,optionfilehtmcov); fprintf(fichtmcov,"Current page is file %s
    \n\n

    Matrix of variance-covariance of pairs of step probabilities

    \n",optionfilehtmcov, optionfilehtmcov); fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated \ and drawn. It helps understanding how is the covariance between two incidences.\ @@ -5906,7 +6445,7 @@ To be simple, these graphs help to under fprintf(ficgp,"\nset parametric;unset label"); fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2); fprintf(ficgp,"\nset ter svg size 640, 480"); - fprintf(fichtmcov,"\n
    Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year-1\ + fprintf(fichtmcov,"\n


    Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year-1\ : \ %s_%d%1d%1d-%1d%1d.svg, ",k1,l1,k2,l2,\ subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2, \ @@ -5917,16 +6456,16 @@ To be simple, these graphs help to under fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \ - mu1,std,v11,sqrt(lc1),v12,sqrt(lc2), \ - mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); + mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)), \ + mu2,std,v21,sqrt(lc1),v22,sqrt(fabs(lc2))); /* For gnuplot only */ }else{ first=0; fprintf(fichtmcov," %d (%.3f),",(int) age, c12); fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \ - mu1,std,v11,sqrt(lc1),v12,sqrt(lc2), \ - mu2,std,v21,sqrt(lc1),v22,sqrt(lc2)); + mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)), \ + mu2,std,v21,sqrt(lc1),v22,sqrt(fabs(lc2))); }/* if first */ } /* age mod 5 */ } /* end loop age */ @@ -5954,14 +6493,16 @@ To be simple, these graphs help to under void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \ int lastpass, int stepm, int weightopt, char model[],\ int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ - int popforecast, int prevfcast, int backcast, int estepm , \ + int popforecast, int mobilav, int prevfcast, int mobilavproj, 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")); @@ -5990,22 +6531,78 @@ void printinghtml(char fileresu[], char %s
      \n
      • ", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_")); } - fprintf(fichtm," \n
      • Graphs

        • "); m=pow(2,cptcoveff); if (cptcovn < 1) {m=1;ncodemax[1]=1;} + fprintf(fichtm," \n

        • Graphs

          • "); + jj1=0; - for(k1=1; k1<=m;k1++){ + + fprintf(fichtm," \n

          "); + + jj1=0; + + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k1=1; k1<=m;k1++){ /* For each combination of covariate */ + if(m != 1 && TKresult[nres]!= k1) + continue; /* for(i1=1; i1<=ncodemax[k1];i1++){ */ jj1++; if (cptcovn > 0) { + fprintf(fichtm,"\n

          "); + fprintf(fichtm,"

          ************ Results for covariates"); for (cpt=1; cpt<=cptcoveff;cpt++){ - fprintf(fichtm," V%d=%d ",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]){ @@ -6015,51 +6612,51 @@ 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: logit(pij)=log(pij/pii)= aij+ bij age+%s) as a function of age: %s_%d-1-%d.svg
          \ +",model,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres); /* Pij */ - fprintf(fichtm,"
          \n- Pij or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s_%d-2.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 for a person being in state (1 to %d) at different ages, to be in state %d some years after. %s_%d-%d-%d.svg
          \ +", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres); } if(backcast==1){ /* Period (stable) back prevalence in each health state */ for(cpt=1; cpt<=nlstate;cpt++){ - fprintf(fichtm,"
          \n- Convergence to period (stable) back prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d.svg
          \ -", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1); + fprintf(fichtm,"
          \n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. %s_%d-%d-%d.svg
          \ +", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); } } if(prevfcast==1){ /* Projection of prevalence up to period (stable) prevalence in each health state */ for(cpt=1; cpt<=nlstate;cpt++){ - fprintf(fichtm,"
          \n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s%d_%d.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 and mobil_average=%d) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d-%d.svg
          \ +", dateprev1, dateprev2, mobilavproj, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); } } 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 */ @@ -6117,13 +6714,22 @@ 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(m != 1 && 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]){ @@ -6132,32 +6738,35 @@ 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); + fprintf(fichtm,"\n
          - Observed (cross-sectional with mov_average=%d) and period (incidence based) \ +prevalence (with 95%% confidence interval) in state (%d): %s_%d-%d-%d.svg\n
          \ +",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres); } fprintf(fichtm,"\n
          - Total life expectancy by age and \ health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \ 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); } /******************* Gnuplot file **************/ -void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[]){ + void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[], int offyear){ char dirfileres[132],optfileres[132]; - char gplotcondition[132]; - int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; + char gplotcondition[132], gplotlabel[132]; + int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,ij=0, ijp=0, l=0; int lv=0, vlv=0, kl=0; int ng=0; int vpopbased; int ioffset; /* variable offset for columns */ + int nres=0; /* Index of resultline */ + int istart=1; /* For starting graphs in projections */ /* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ /* printf("Problem with file %s",optionfilegnuplot); */ @@ -6201,52 +6810,66 @@ 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 ); + 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(m != 1 && 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); + strcpy(gplotlabel,"("); + for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* 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); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + /* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + /* printf("\n#\n"); */ + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + /*k1=k1-1;*/ /* To be checked */ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); + fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); + fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); + /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ + /* k1-1 error should be nres-1*/ + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + /* fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); */ + + fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" u 1:((",subdirf2(fileresu,"P_")); + if(cptcoveff ==0){ + fprintf(ficgp,"$%d)) t 'Observed prevalence in state %d' with line lt 3", 2+(cpt-1), cpt ); }else{ kl=0; for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ @@ -6261,75 +6884,56 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u /*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)? $%d : 1/0) t 'Backward prevalence in state %d' ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ - 4+(cpt-1), cpt ); /* 4 or 6 ?*/ + fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Observed prevalence in state %d' w l lt 2",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ + 2+cptcoveff*2+3*(cpt-1), cpt ); /* 4 or 6 ?*/ }else{ fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); kl++; } } /* end covariate */ } /* end if no covariate */ - } /* end if backcast */ - fprintf(ficgp,"\nset out \n"); + + if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ + /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%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++; + /* 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 ;unset label;\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(m != 1 && TKresult[nres]!= k1) + continue; + fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); + strcpy(gplotlabel,"("); for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ @@ -6337,132 +6941,229 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); } + /* for(k=1; k <= ncovds; k++){ */ + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); 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\ -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,"\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*/ + fprintf(ficgp,"\nset label \"popbased %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",vpopbased,gplotlabel); + if(vpopbased==0){ + fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); + }else + 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_"),nres-1,nres-1, vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i); + else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1); + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"\" w l lt 0,"); + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== (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; unset label;\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(m != 1 && TKresult[nres]!= k1) + continue; + + for (cpt=1; cpt<= nlstate ; cpt ++) { + fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt); + strcpy(gplotlabel,"("); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + 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 label \"%s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel); + fprintf(ficgp,"set ter svg size 640, 480\n\ +plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),nres-1,nres-1,k,cpt); + /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); + fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%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_"),nres-1,nres-1,k+i,cpt,i+1); + /* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/ - } - fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt); - } - } + } + fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),nres-1,nres-1,k+nlstate,cpt); + } + fprintf(ficgp,"\nunset label;\n"); + } /* end nres */ + } /* end kl 3eme */ /* 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(m != 1 && 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*/ + strcpy(gplotlabel,"("); + fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); } - 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]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); + fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; + 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; unset label;\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(m != 1 && TKresult[nres]!= k1) continue; - } + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ + strcpy(gplotlabel,"("); + fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + 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 label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; + 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; unset label;\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 (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ - + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ + strcpy(gplotlabel,"("); fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ @@ -6471,31 +7172,36 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); 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 label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ -set ter svg size 640, 480\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 ++){ + for (i=1; i<= nlstate ; i ++){ /* State of origin */ if(i==1) fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); else fprintf(ficgp,", '' "); - l=(nlstate+ndeath)*(i-1)+1; + l=(nlstate+ndeath)*(i-1)+1; /* 1, 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); for (j=2; j<= nlstate ; j ++) fprintf(ficgp,"+$%d",k+l+j-1); fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); } /* nlstate */ - fprintf(ficgp,"\nset out\n"); + fprintf(ficgp,"\nset out; unset label;\n"); } /* end cpt state*/ } /* end covariate */ @@ -6503,9 +7209,13 @@ 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 (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 (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life ending state */ + strcpy(gplotlabel,"("); + fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pijb' files, covariatecombination#=%d state=%d",k1, cpt); for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ @@ -6513,35 +7223,40 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); 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 label \"Ending alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ -set ter svg size 640, 480\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 ++){ + for (i=1; i<= nlstate ; i ++){ /* State of origin */ if(i==1) fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_")); else fprintf(ficgp,", '' "); /* l=(nlstate+ndeath)*(i-1)+1; */ - l=(nlstate+ndeath)*(cpt-1)+1; + l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ - fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+(cpt-1)+i-1); /* a vérifier */ + fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */ /* for (j=2; j<= nlstate ; j ++) */ /* fprintf(ficgp,"+$%d",k+l+j-1); */ /* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */ fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt); } /* nlstate */ - fprintf(ficgp,"\nset out\n"); + fprintf(ficgp,"\nset out; unset label;\n"); } /* end cpt state*/ } /* end covariate */ } /* End if backcast */ @@ -6550,8 +7265,12 @@ 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(m != 1 && TKresult[nres]!= k1) + continue; for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + strcpy(gplotlabel,"("); fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ @@ -6560,7 +7279,13 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ vlv= nbcode[Tvaraff[k]][lv]; fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); fprintf(ficgp,"\n#\n"); if(invalidvarcomb[k1]){ fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); @@ -6568,17 +7293,20 @@ 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 label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ -set ter svg size 640, 480\n \ -unset log y\n \ -plot [%.f:%.f] ", ageminpar, agemaxpar); - for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ +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 *\/ */ + istart=nlstate+1; /* Could be one if by state, but nlstate+1 is w.i projection only */ + /*istart=1;*/ /* Could be one if by state, but nlstate+1 is w.i projection only */ + for (i=istart; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ - if(i==1){ + if(i==istart){ fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); }else{ fprintf(ficgp,",\\\n '' "); @@ -6590,10 +7318,15 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /*# V1 = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 */ fprintf(ficgp," u %d:(", ioffset); - if(i==nlstate+1) - fprintf(ficgp," $%d/(1.-$%d)) t 'pw.%d' with line ", \ + if(i==nlstate+1){ + fprintf(ficgp," $%d/(1.-$%d)):5 t 'pw.%d' with line lc variable ", \ ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); - else + fprintf(ficgp,",\\\n '' "); + fprintf(ficgp," u %d:(",ioffset); + fprintf(ficgp," (($5-$6) == %d ) ? $%d/(1.-$%d) : 1/0):5 with labels center not ", \ + offyear, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); + }else fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); }else{ /* more than 2 covariates */ @@ -6625,22 +7358,28 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ if(i==nlstate+1){ - fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \ + fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0):5 t 'p.%d' with line lc variable", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); + fprintf(ficgp,",\\\n '' "); + fprintf(ficgp," u %d:(",ioffset); + fprintf(ficgp,"%s && (($5-$6) == %d ) ? $%d/(1.-$%d) : 1/0):5 with labels center not ", gplotcondition, \ + offyear, \ ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); +/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0) && (($5-$6) == 1947) ? $10/(1.-$22) : 1/0):5 with labels center boxed not*/ }else{ fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); } } /* end if covariate */ } /* nlstate */ - fprintf(ficgp,"\nset out\n"); + fprintf(ficgp,"\nset out; unset label;\n"); } /* end cpt state*/ } /* end covariate */ } /* End if prevfcast */ - /* 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++){ @@ -6657,7 +7396,8 @@ 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"); @@ -6672,11 +7412,34 @@ 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,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */ + for(k1=1; k1 <=m; k1++) /* For each combination of covariate */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1); + strcpy(gplotlabel,"("); + sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1); + for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres); + fprintf(ficgp,"\nset label \"%s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel); fprintf(ficgp,"\nset ter svg size 640, 480 "); if (ng==1){ fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */ @@ -6716,18 +7479,50 @@ 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(k1,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(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */ + fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); + }else{ /* Vn is dummy and Vm is quanti */ + /* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ + fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); + } + }else{ /* Vn*Vm Vn is quanti */ + 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(k1,j)]); /\* Valgrind bug nbcode *\/ */ + if(Dummy[j]==0){ + fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /* */ + }else{ /* quantitative */ + fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* */ + /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,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 */ @@ -6737,23 +7532,23 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) if(ng != 1){ fprintf(ficgp,")/(1"); - for(k1=1; k1 <=nlstate; k1++){ + for(cpt=1; cpt <=nlstate; cpt++){ if(nagesqr==0) - fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1); + fprintf(ficgp,"+exp(p%d+p%d*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1); else /* nagesqr =1 */ - fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1,k3+(k1-1)*ncovmodel+1+nagesqr); + fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr); ij=1; for(j=3; j <=ncovmodel-nagesqr; j++){ - if(ij <=cptcovage) { /* Bug valgrind */ - if((j-2)==Tage[ij]) { /* 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])]); */ + if((j-2)==Tage[ij]) { /* Bug valgrind */ + if(ij <=cptcovage) { /* Bug valgrind */ + fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]); + /* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ ij++; } } else - fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);/* Valgrind bug nbcode */ + fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */ } fprintf(ficgp,")"); } @@ -6773,8 +7568,8 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) i=i+ncovmodel; } /* end k */ } /* end k2 */ - fprintf(ficgp,"\n set out\n"); - } /* end jk */ + fprintf(ficgp,"\n set out; unset label;\n"); + } /* end k1 */ } /* end ng */ /* avoid: */ fflush(ficgp); @@ -6790,10 +7585,11 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) int mobilavrange, mob; int iage=0; - double sum=0.; + double sum=0., sumr=0.; double age; - double *sumnewp, *sumnewm; - double *agemingood, *agemaxgood; /* Currently identical for all covariates */ + double *sumnewp, *sumnewm, *sumnewmr; + double *agemingood, *agemaxgood; + double *agemingoodr, *agemaxgoodr; /* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */ @@ -6801,19 +7597,22 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) sumnewp = vector(1,ncovcombmax); sumnewm = vector(1,ncovcombmax); + sumnewmr = vector(1,ncovcombmax); agemingood = vector(1,ncovcombmax); + agemingoodr = vector(1,ncovcombmax); agemaxgood = vector(1,ncovcombmax); + agemaxgoodr = vector(1,ncovcombmax); for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ - sumnewm[cptcod]=0.; + sumnewm[cptcod]=0.; sumnewmr[cptcod]=0.; sumnewp[cptcod]=0.; - agemingood[cptcod]=0; - agemaxgood[cptcod]=0; + agemingood[cptcod]=0, agemingoodr[cptcod]=0; + agemaxgood[cptcod]=0, agemaxgoodr[cptcod]=0; } if (cptcovn<1) ncovcombmax=1; /* At least 1 pass */ - if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ - if(mobilav==1) mobilavrange=5; /* default */ + if(mobilav==-1 || mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ + if(mobilav==1 || mobilav==-1) mobilavrange=5; /* default */ else mobilavrange=mobilav; for (age=bage; age<=fage; age++) for (i=1; i<=nlstate;i++) @@ -6825,80 +7624,146 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) */ for (mob=3;mob <=mobilavrange;mob=mob+2){ for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ - for (i=1; i<=nlstate;i++){ - for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod]; for (cpt=1;cpt<=(mob-1)/2;cpt++){ mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod]; mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod]; } mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob; - } - } + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + } /* end i */ + if(sumnewm[cptcod] >1.e-3) mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/sumnewm[cptcod]; /* Rescaling to sum one */ + } /* end cptcod */ }/* end age */ }/* end mob */ - }else + }else{ + printf("Error internal in movingaverage, mobilav=%d.\n",mobilav); return -1; - for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + } + + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ /* for each combination */ /* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */ if(invalidvarcomb[cptcod]){ printf("\nCombination (%d) ignored because no cases \n",cptcod); continue; } - agemingood[cptcod]=fage-(mob-1)/2; - for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */ + for (age=fage-(mob-1)/2; age>=bage+(mob-1)/2; age--){ /*looking for the youngest and oldest good age */ sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; for (i=1; i<=nlstate;i++){ sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */ + agemingoodr[cptcod]=age; } if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ - agemingood[cptcod]=age; - }else{ /* bad */ - for (i=1; i<=nlstate;i++){ - mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; - } /* i */ - } /* end bad */ - }/* age */ - sum=0.; - for (i=1; i<=nlstate;i++){ - sum+=mobaverage[(int)agemingood[cptcod]][i][cptcod]; - } - if(fabs(sum - 1.) > 1.e-3) { /* bad */ - printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any descending age!\n",cptcod); - /* for (i=1; i<=nlstate;i++){ */ - /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */ - /* } /\* i *\/ */ - } /* end bad */ - /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */ - /* From youngest, finding the oldest wrong */ - agemaxgood[cptcod]=bage+(mob-1)/2; - for (age=bage+(mob-1)/2; age<=fage; age++){ + agemingood[cptcod]=age; + } + } /* age */ + for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ /*looking for the youngest and oldest good age */ sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; for (i=1; i<=nlstate;i++){ sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */ + agemaxgoodr[cptcod]=age; } if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ agemaxgood[cptcod]=age; - }else{ /* bad */ - for (i=1; i<=nlstate;i++){ - mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; - } /* i */ + } + } /* age */ + /* Thus we have agemingood and agemaxgood as well as goodr for raw (preobs) */ + /* but they will change */ + for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, filling up to the youngest */ + sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(mobilav==-1){ /* Forcing raw ages if good else agemingood */ + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */ + agemaxgoodr[cptcod]=age; /* age min */ + for (i=1; i<=nlstate;i++) + mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; + }else{ /* bad we change the value with the values of good ages */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgoodr[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }else{ + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemaxgood[cptcod]=age; + }else{ /* bad we change the value with the values of good ages */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }/* end else */ + sum=0.;sumr=0.; + for (i=1; i<=nlstate;i++){ + sum+=mobaverage[(int)age][i][cptcod]; + sumr+=probs[(int)age][i][cptcod]; + } + if(fabs(sum - 1.) > 1.e-3) { /* bad */ + printf("Moving average A1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, bage); + } /* end bad */ + /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */ + if(fabs(sumr - 1.) > 1.e-3) { /* bad */ + printf("Moving average A2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, bage); } /* end bad */ }/* age */ - sum=0.; - for (i=1; i<=nlstate;i++){ - sum+=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; - } - if(fabs(sum - 1.) > 1.e-3) { /* bad */ - printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any ascending age!\n",cptcod); - /* for (i=1; i<=nlstate;i++){ */ - /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */ - /* } /\* i *\/ */ - } /* end bad */ + + for (age=bage+(mob-1)/2; age<=fage; age++){/* From youngest, finding the oldest wrong */ + sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(mobilav==-1){ /* Forcing raw ages if good else agemingood */ + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good */ + agemingoodr[cptcod]=age; + for (i=1; i<=nlstate;i++) + mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; + }else{ /* bad we change the value with the values of good ages */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingoodr[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }else{ + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemingood[cptcod]=age; + }else{ /* bad */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }/* end else */ + sum=0.;sumr=0.; + for (i=1; i<=nlstate;i++){ + sum+=mobaverage[(int)age][i][cptcod]; + sumr+=mobaverage[(int)age][i][cptcod]; + } + if(fabs(sum - 1.) > 1.e-3) { /* bad */ + printf("Moving average B1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you decrease fage=%d?\n",cptcod, sum, (int) age, fage); + } /* end bad */ + /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */ + if(fabs(sumr - 1.) > 1.e-3) { /* bad */ + printf("Moving average B2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase fage=%d\n",cptcod,sumr, (int)age, fage); + } /* end bad */ + }/* age */ + for (age=bage; age<=fage; age++){ - printf("%d %d ", cptcod, (int)age); + /* printf("%d %d ", cptcod, (int)age); */ sumnewp[cptcod]=0.; sumnewm[cptcod]=0.; for (i=1; i<=nlstate;i++){ @@ -6910,40 +7775,44 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) } /* printf("\n"); */ /* } */ + /* brutal averaging */ - for (i=1; i<=nlstate;i++){ - for (age=1; age<=bage; age++){ - mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; - /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */ - } - for (age=fage; age<=AGESUP; age++){ - mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; - /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */ - } - } /* end i status */ - for (i=nlstate+1; i<=nlstate+ndeath;i++){ - for (age=1; age<=AGESUP; age++){ - /*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*/ - mobaverage[(int)age][i][cptcod]=0.; - } - } + /* for (i=1; i<=nlstate;i++){ */ + /* for (age=1; age<=bage; age++){ */ + /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */ + /* /\* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); *\/ */ + /* } */ + /* for (age=fage; age<=AGESUP; age++){ */ + /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; */ + /* /\* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); *\/ */ + /* } */ + /* } /\* end i status *\/ */ + /* for (i=nlstate+1; i<=nlstate+ndeath;i++){ */ + /* for (age=1; age<=AGESUP; age++){ */ + /* /\*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*\/ */ + /* mobaverage[(int)age][i][cptcod]=0.; */ + /* } */ + /* } */ }/* end cptcod */ - free_vector(sumnewm,1, ncovcombmax); - free_vector(sumnewp,1, ncovcombmax); + free_vector(agemaxgoodr,1, ncovcombmax); free_vector(agemaxgood,1, ncovcombmax); free_vector(agemingood,1, ncovcombmax); + free_vector(agemingoodr,1, ncovcombmax); + free_vector(sumnewmr,1, ncovcombmax); + free_vector(sumnewm,1, ncovcombmax); + free_vector(sumnewp,1, ncovcombmax); return 0; }/* End movingaverage */ /************** 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; @@ -6965,8 +7834,8 @@ 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; @@ -6997,7 +7866,10 @@ 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(i1 != 1 && TKresult[nres]!= k) + continue; if(invalidvarcomb[k]){ printf("\nCombination (%d) projection ignored because no cases \n",k); continue; @@ -7006,6 +7878,9 @@ 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++) @@ -7020,7 +7895,7 @@ 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) { @@ -7032,11 +7907,11 @@ void prevforecast(char fileres[], double for(j=1; j<=nlstate+ndeath;j++) { ppij=0.; for(i=1; i<=nlstate;i++) { - if (mobilav==1) + /* if (mobilav>=1) */ ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][k]; - else { - ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; - } + /* else { */ /* even if mobilav==-1 we use mobaverage */ + /* ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; */ + /* } */ if (h*hstepm/YEARM*stepm== yearp) { fprintf(ficresf," %.3f", p3mat[i][j][h]); } @@ -7048,6 +7923,8 @@ void prevforecast(char fileres[], double } /* end h */ free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); } /* end agec */ + /* diffyear=(int) anproj1+yearp-ageminpar-1; */ + /*printf("Prevforecast %d+%d-%d=diffyear=%d\n",(int) anproj1, (int)yearp,(int)ageminpar,(int) anproj1-(int)ageminpar);*/ } /* end yearp */ } /* end k */ @@ -7613,14 +8490,36 @@ 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); @@ -7650,87 +8549,87 @@ int readdata(char datafile[], int firsto /* Loops on waves */ for (j=maxwav;j>=1;j--){ for (iv=nqtv;iv>=1;iv--){ /* Loop on time varying quantitative variables */ - cutv(stra, strb, line, ' '); - 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); - return 1; - } - }else{ - errno=0; - /* what_kind_of_number(strb); */ - dval=strtod(strb,&endptr); - /* if( strb[0]=='\0' || (*endptr != '\0')){ */ - /* if(strb != endptr && *endptr == '\0') */ - /* dval=dlval; */ - /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ - if( strb[0]=='\0' || (*endptr != '\0')){ - 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. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav); - 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. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog); - return 1; - } - cotqvar[j][iv][i]=dval; - cotvar[j][ntv+iv][i]=dval; - } - strcpy(line,stra); + cutv(stra, strb, line, ' '); + 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); + return 1; + } + }else{ + errno=0; + /* what_kind_of_number(strb); */ + dval=strtod(strb,&endptr); + /* if( strb[0]=='\0' || (*endptr != '\0')){ */ + /* if(strb != endptr && *endptr == '\0') */ + /* dval=dlval; */ + /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ + if( strb[0]=='\0' || (*endptr != '\0')){ + 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. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav); + 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. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog); + return 1; + } + cotqvar[j][iv][i]=dval; + cotvar[j][ntv+iv][i]=dval; + } + strcpy(line,stra); }/* end loop ntqv */ for (iv=ntv;iv>=1;iv--){ /* Loop on time varying dummies */ - cutv(stra, strb, line, ' '); - if(strb[0]=='.') { /* Missing value */ - lval=-1; - }else{ - errno=0; - lval=strtol(strb,&endptr,10); - /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ - if( strb[0]=='\0' || (*endptr != '\0')){ - printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav); - fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog); - return 1; - } - } - if(lval <-1 || lval >1){ - printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ + cutv(stra, strb, line, ' '); + if(strb[0]=='.') { /* Missing value */ + lval=-1; + }else{ + errno=0; + lval=strtol(strb,&endptr,10); + /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ + if( strb[0]=='\0' || (*endptr != '\0')){ + printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav); + fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog); + return 1; + } + } + if(lval <-1 || lval >1){ + printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ - For example, for multinomial values like 1, 2 and 3,\n \ - build V1=0 V2=0 for the reference value (1),\n \ - V1=1 V2=0 for (2) \n \ + For example, for multinomial values like 1, 2 and 3,\n \ + build V1=0 V2=0 for the reference value (1),\n \ + V1=1 V2=0 for (2) \n \ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ - output of IMaCh is often meaningless.\n \ + output of IMaCh is often meaningless.\n \ Exiting.\n",lval,linei, i,line,j); - fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ + fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \ - For example, for multinomial values like 1, 2 and 3,\n \ - build V1=0 V2=0 for the reference value (1),\n \ - V1=1 V2=0 for (2) \n \ + For example, for multinomial values like 1, 2 and 3,\n \ + build V1=0 V2=0 for the reference value (1),\n \ + V1=1 V2=0 for (2) \n \ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \ - output of IMaCh is often meaningless.\n \ + output of IMaCh is often meaningless.\n \ Exiting.\n",lval,linei, i,line,j);fflush(ficlog); - return 1; - } - cotvar[j][iv][i]=(double)(lval); - strcpy(line,stra); + return 1; + } + cotvar[j][iv][i]=(double)(lval); + strcpy(line,stra); }/* end loop ntv */ /* Statuses at wave */ cutv(stra, strb, line, ' '); if(strb[0]=='.') { /* Missing value */ - lval=-1; + lval=-1; }else{ - errno=0; - lval=strtol(strb,&endptr,10); - /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ - if( strb[0]=='\0' || (*endptr != '\0')){ - printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); - fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); - return 1; - } + errno=0; + lval=strtol(strb,&endptr,10); + /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ + if( strb[0]=='\0' || (*endptr != '\0')){ + printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav); + fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog); + return 1; + } } s[j][i]=lval; @@ -7890,7 +8789,7 @@ int readdata(char datafile[], int firsto void removefirstspace(char **stri){/*, char stro[]) {*/ char *p1 = *stri, *p2 = *stri; - if (*p2 == ' ') + while (*p2 == ' ') p2++; /* while ((*p1++ = *p2++) !=0) */ /* ; */ @@ -7901,10 +8800,10 @@ void removefirstspace(char **stri){/*, c *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, k1=0, k2=0, match=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]; @@ -7922,6 +8821,11 @@ int decoderesult ( char resultline[]) if (strlen(resultsav) >1){ j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ } + if(j == 0){ /* Resultline but no = */ + TKresult[nres]=0; /* Combination for the nresult and the model */ + return (0); + } + 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); @@ -7942,13 +8846,13 @@ int decoderesult ( char resultline[]) if (nbocc(stra,'=') >0) strcpy(resultsav,stra); /* and analyzes it */ } - /* Checking if no missing or useless values in comparison of current model needs */ - for(k1=1; k1<= cptcovt ;k1++){ /* model line */ - if(Typevar[k1]==0){ + /* 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++){ - if(Tvar[k1]==Tvarsel[k2]) { - modelresult[k2]=k1; + 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; } @@ -7958,13 +8862,13 @@ int decoderesult ( char resultline[]) } } } - - for(k2=1; k2 <=j;k2++){ /* result line */ + /* 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 */ - if(Typevar[k1]==0){ - if(Tvar[k1]==Tvarsel[k2]) { - resultmodel[k1]=k2; + 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; } } @@ -7975,17 +8879,50 @@ int decoderesult ( char resultline[]) 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 @@ -8002,7 +8939,7 @@ 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]; @@ -8208,7 +9145,7 @@ 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;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; @@ -8233,7 +9170,7 @@ Dummy[k] 0=dummy (0 1), 1 quantitative ( 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 */ + }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++; @@ -8247,7 +9184,7 @@ Dummy[k] 0=dummy (0 1), 1 quantitative ( 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){/* Only simple time varying variables */ + }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 */ @@ -8258,7 +9195,7 @@ Dummy[k] 0=dummy (0 1), 1 quantitative ( TvarsDind[nsd]=k; ncovv++; /* Only simple time varying variables */ TvarV[ncovv]=Tvar[k]; - TvarVind[ncovv]=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); @@ -8274,7 +9211,7 @@ Dummy[k] 0=dummy (0 1), 1 quantitative ( TvarsQ[nsq]=Tvar[k]; TvarsQind[nsq]=k; TvarV[ncovv]=Tvar[k]; - TvarVind[ncovv]=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 */ @@ -8286,167 +9223,167 @@ Dummy[k] 0=dummy (0 1), 1 quantitative ( 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++; */ + 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; - modell[k].maintype= ATYPE; - modell[k].subtype= APFQ; /* Product age * fixed quantitative */ - /* 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; - modell[k].maintype= ATYPE; - modell[k].subtype= APVD; /* Product age * varying dummy */ - /* 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; - modell[k].maintype= ATYPE; - modell[k].subtype= APVQ; /* Product age * varying quantitative */ - /* 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; - 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; - } + 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; - 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; - } + 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; - 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; - } + 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; - 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; - } + 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]); @@ -8488,7 +9425,7 @@ Dummy[k] 0=dummy (0 1), 1 quantitative ( } int calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn ) -{ +{/* Check ages at death */ int i, m; int firstone=0; @@ -8503,16 +9440,16 @@ int calandcheckages(int imx, int maxwav, *nberr = *nberr + 1; if(firstone == 0){ firstone=1; - printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\nOther similar cases in log file\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m); + printf("Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\nOther similar cases in log file\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m); } - fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m); - s[m][i]=-1; + fprintf(ficlog,"Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m); + s[m][i]=-1; /* Droping the death status */ } if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){ (*nberr)++; - printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]); - fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]); - s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */ + printf("Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\nOther similar cases in log file\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m); + fprintf(ficlog,"Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m); + s[m][i]=-2; /* We prefer to skip it (and to skip it in version 0.8a1 too */ } } } @@ -8795,7 +9732,7 @@ 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; @@ -8823,53 +9760,63 @@ int prevalence_limit(double *p, double * 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(i1 != 1 && 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; } @@ -8879,7 +9826,7 @@ 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; @@ -8910,61 +9857,72 @@ 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(i1 != 1 && 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); + /* printf("TOTOT\n"); */ + /* exit(1); */ + } + 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 */ + /*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ + } /* end of any combination */ + } /* end of nres */ /* hBijx(p, bage, fage); */ /* fclose(ficrespijb); */ @@ -8978,7 +9936,7 @@ 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; @@ -9005,10 +9963,17 @@ 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(i1 != 1 && 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 */ @@ -9019,7 +9984,7 @@ 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++) @@ -9049,7 +10014,7 @@ 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; @@ -9072,53 +10037,61 @@ int hPijx(double *p, int bage, int fage) /* hstepm=1; aff par mois*/ pstamp(ficrespijb); - fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x "); + fprintf(ficrespijb,"#****** h Bij x Back probability to be in state i at age x-h being in j at x: B1j+B2j+...=1 "); i1= pow(2,cptcoveff); /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ /* 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(i1 != 1 && 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]){ /* Is it necessary here? */ + 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); /* We can't have it at an upper level because of nhstepm */ + /* and memory limitations if stepm is small */ + + /* oldm=oldms;savm=savms; */ + /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ + hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k); + /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */ + fprintf(ficrespijb,"# Cov Agex agex-h hbijx 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 */ @@ -9145,6 +10118,8 @@ int main(int argc, char *argv[]) int itimes; int NDIM=2; int vpopbased=0; + int nres=0; + int endishere=0; char ca[32], cb[32]; /* FILE *fichtm; *//* Html File */ @@ -9189,7 +10164,8 @@ int main(int argc, char *argv[]) double **prlim; double **bprlim; double ***param; /* Matrix of parameters */ - double *p; + double ***paramstart; /* Matrix of starting parameter values */ + double *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */ double **matcov; /* Matrix of covariance */ double **hess; /* Hessian matrix */ double ***delti3; /* Scale */ @@ -9425,9 +10401,12 @@ int main(int argc, char *argv[]) break; } if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){ - if (num_filled == 0) - model[0]='\0'; - else if (num_filled != 1){ + if (num_filled == 0){ + printf("ERROR %d: Model should be at minimum 'model=1+age.' WITHOUT space:'%s'\n",num_filled, line); + fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' WITHOUT space:'%s'\n",num_filled, line); + model[0]='\0'; + goto end; + } else if (num_filled != 1){ printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line); fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line); model[0]='\0'; @@ -9500,6 +10479,12 @@ 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;iDatafile=%s Firstpass=%d La /* Calculates basic frequencies. Computes observed prevalence at single age and for any valid combination of covariates and prints on file fileres'p'. */ - freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ + freqsummary(fileres, p, pstart, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ firstpass, lastpass, stepm, weightopt, model); fprintf(fichtm,"\n"); @@ -10034,9 +11021,9 @@ Interval (in months) between two waves: /* For mortality only */ if (mle==-3){ ximort=matrix(1,NDIM,1,NDIM); - for(i=1;i<=NDIM;i++) - for(j=1;j<=NDIM;j++) - ximort[i][j]=0.; + for(i=1;i<=NDIM;i++) + for(j=1;j<=NDIM;j++) + ximort[i][j]=0.; /* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */ cens=ivector(1,n); ageexmed=vector(1,n); @@ -10272,6 +11259,10 @@ Please run with mle=-1 to get a correct printf("\n"); if(mle>=1){ /* Could be 1 or 2, Real Maximization */ /* mlikeli uses func not funcone */ + /* for(i=1;i MAXRESULTLINES){ + printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); + fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); + goto end; + } + decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ + fprintf(ficparo,"result: %s\n",resultline); + fprintf(ficres,"result: %s\n",resultline); + fprintf(ficlog,"result: %s\n",resultline); + break; + case 14: + if(ncovmodel >2 && nresult==0 ){ + printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); + goto end; + } + break; + default: + nresult=1; + decoderesult(".",nresult ); /* No covariate */ + } + } /* End switch parameterline */ + }while(endishere==0); /* End do */ /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */ /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */ @@ -10598,10 +11631,10 @@ Please run with mle=-1 to get a correct This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); }else{ - printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); + printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)ageminpar); } printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ - model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ + model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,backcast, estepm, \ jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); /*------------ free_vector -------------*/ @@ -10653,14 +11686,24 @@ Please run with mle=-1 to get a correct mobaverages[i][j][k]=0.; mobaverage=mobaverages; if (mobilav!=0) { + printf("Movingaveraging observed prevalence\n"); + fprintf(ficlog,"Movingaveraging observed prevalence\n"); if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){ fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); printf(" Error in movingaverage mobilav=%d\n",mobilav); } } - /* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */ - /* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ + /* else if(mobilavproj==-1){ /\* Forcing raw observed prevalences *\/ */ + /* for(i=1;i<=AGESUP;i++) */ + /* for(j=1;j<=nlstate;j++) */ + /* for(k=1;k<=ncovcombmax;k++) */ + /* mobaverages[i][j][k]=probs[i][j][k]; */ + /* /\* /\\* Prevalence for each covariates in probs[age][status][cov] *\\/ *\/ */ + /* /\* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); *\/ */ + /* } */ else if (mobilavproj !=0) { + printf("Movingaveraging projected observed prevalence\n"); + fprintf(ficlog,"Movingaveraging projected observed prevalence\n"); if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){ fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj); printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj); @@ -10715,17 +11758,32 @@ Please run with mle=-1 to get a correct } printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout); fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog); + + pstamp(ficreseij); - for (k=1; k <= (int) pow(2,cptcoveff); k++){ /* For any combination of dummy covariates, fixed and varying */ + i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ + if (cptcovn < 1){i1=1;} + + 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(i1 != 1 && TKresult[nres]!= k) + continue; fprintf(ficreseij,"\n#****** "); + printf("\n#****** "); for(j=1;j<=cptcoveff;j++) { fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + printf("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(ficreseij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); } fprintf(ficreseij,"******\n"); + printf("******\n"); eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); oldm=oldms;savm=savms; - evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart); + evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres); free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); } @@ -10776,15 +11834,26 @@ Please run with mle=-1 to get a correct /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ - for (k=1; k <= (int) pow(2,cptcoveff); k++){ - printf("\n#****** "); - fprintf(ficrest,"\n#****** "); - fprintf(ficlog,"\n#****** "); + i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ + if (cptcovn < 1){i1=1;} + + 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(i1 != 1 && TKresult[nres]!= k) + continue; + printf("\n#****** Result for:"); + fprintf(ficrest,"\n#****** Result for:"); + fprintf(ficlog,"\n#****** Result for:"); for(j=1;j<=cptcoveff;j++){ printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); fprintf(ficrest,"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(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } fprintf(ficrest,"******\n"); fprintf(ficlog,"******\n"); printf("******\n"); @@ -10795,19 +11864,27 @@ Please run with mle=-1 to get a correct fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); } + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficresstdeij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficrescveij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } fprintf(ficresstdeij,"******\n"); fprintf(ficrescveij,"******\n"); fprintf(ficresvij,"\n#****** "); + /* pstamp(ficresvij); */ for(j=1;j<=cptcoveff;j++) fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } fprintf(ficresvij,"******\n"); eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); oldm=oldms;savm=savms; - printf(" cvevsij combination#=%d, ",k); - fprintf(ficlog, " cvevsij combination#=%d, ",k); - cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart); + printf(" cvevsij "); + fprintf(ficlog, " cvevsij "); + cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart, nres); printf(" end cvevsij \n "); fprintf(ficlog, " end cvevsij \n "); @@ -10824,7 +11901,7 @@ Please run with mle=-1 to get a correct cptcod= 0; /* To be deleted */ printf("varevsij vpopbased=%d \n",vpopbased); fprintf(ficlog, "varevsij vpopbased=%d \n",vpopbased); - varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */ + varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart, nres); /* cptcod not initialized Intel */ fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are "); if(vpopbased==1) fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); @@ -10838,7 +11915,7 @@ Please run with mle=-1 to get a correct printf("Computing age specific period (stable) prevalences in each health state \n"); fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n"); for(age=bage; age <=fage ;age++){ - prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k); /*ZZ Is it the correct prevalim */ + prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k, nres); /*ZZ Is it the correct prevalim */ if (vpopbased==1) { if(mobilav ==0){ for(i=1; i<=nlstate;i++) @@ -10875,11 +11952,11 @@ Please run with mle=-1 to get a correct free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage); free_vector(epj,1,nlstate+1); - printf("done \n");fflush(stdout); - fprintf(ficlog,"done\n");fflush(ficlog); + printf("done selection\n");fflush(stdout); + fprintf(ficlog,"done selection\n");fflush(ficlog); /*}*/ - } /* End k */ + } /* End k selection */ printf("done State-specific expectancies\n");fflush(stdout); fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); @@ -10898,7 +11975,13 @@ Please run with mle=-1 to get a correct /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ - for (k=1; k <= (int) pow(2,cptcoveff); k++){ + i1=pow(2,cptcoveff); + if (cptcovn < 1){i1=1;} + + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ + if(i1 != 1 && TKresult[nres]!= k) + continue; fprintf(ficresvpl,"\n#****** "); printf("\n#****** "); fprintf(ficlog,"\n#****** "); @@ -10907,13 +11990,18 @@ Please run with mle=-1 to get a correct fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); printf("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(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } fprintf(ficresvpl,"******\n"); printf("******\n"); fprintf(ficlog,"******\n"); varpl=matrix(1,nlstate,(int) bage, (int) fage); oldm=oldms;savm=savms; - varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, strstart); + varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, strstart, nres); free_matrix(varpl,1,nlstate,(int) bage, (int)fage); /*}*/ } @@ -10962,6 +12050,8 @@ Please run with mle=-1 to get a correct free_ivector(ncodemaxwundef,1,NCOVMAX); free_ivector(Dummy,-1,NCOVMAX); free_ivector(Fixed,-1,NCOVMAX); + free_ivector(DummyV,1,NCOVMAX); + free_ivector(FixedV,1,NCOVMAX); free_ivector(Typevar,-1,NCOVMAX); free_ivector(Tvar,1,NCOVMAX); free_ivector(TvarsQ,1,NCOVMAX);