--- imach/src/imach.c 2016/02/15 00:48:12 1.219 +++ imach/src/imach.c 2016/08/22 07:17:15 1.231 @@ -1,6 +1,36 @@ -/* $Id: imach.c,v 1.219 2016/02/15 00:48:12 brouard Exp $ +/* $Id: imach.c,v 1.231 2016/08/22 07:17:15 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + Revision 1.231 2016/08/22 07:17:15 brouard + Summary: not working + + Revision 1.230 2016/08/22 06:55:53 brouard + Summary: Not working + + Revision 1.229 2016/07/23 09:45:53 brouard + Summary: Completing for func too + + Revision 1.228 2016/07/22 17:45:30 brouard + Summary: Fixing some arrays, still debugging + + Revision 1.226 2016/07/12 18:42:34 brouard + Summary: temp + + Revision 1.225 2016/07/12 08:40:03 brouard + Summary: saving but not running + + Revision 1.224 2016/07/01 13:16:01 brouard + Summary: Fixes + + Revision 1.223 2016/02/19 09:23:35 brouard + Summary: temporary + + Revision 1.222 2016/02/17 08:14:50 brouard + Summary: Probably last 0.98 stable version 0.98r6 + + Revision 1.221 2016/02/15 23:35:36 brouard + Summary: minor bug + Revision 1.219 2016/02/15 00:48:12 brouard *** empty log message *** @@ -621,24 +651,27 @@ Short summary of the programme: - This program computes Healthy Life Expectancies from - cross-longitudinal data. Cross-longitudinal data consist in: -1- a - first survey ("cross") where individuals from different ages are - interviewed on their health status or degree of disability (in the - case of a health survey which is our main interest) -2- at least a - second wave of interviews ("longitudinal") which measure each change - (if any) in individual health status. Health expectancies are - computed from the time spent in each health state according to a - model. More health states you consider, more time is necessary to reach the - Maximum Likelihood of the parameters involved in the model. The - simplest model is the multinomial logistic model where pij is the - probability to be observed in state j at the second wave - conditional to be observed in state i at the first wave. Therefore - the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where - 'age' is age and 'sex' is a covariate. If you want to have a more - complex model than "constant and age", you should modify the program - where the markup *Covariates have to be included here again* invites - you to do it. More covariates you add, slower the + This program computes Healthy Life Expectancies or State-specific + (if states aren't health statuses) Expectancies from + cross-longitudinal data. Cross-longitudinal data consist in: + + -1- a first survey ("cross") where individuals from different ages + are interviewed on their health status or degree of disability (in + the case of a health survey which is our main interest) + + -2- at least a second wave of interviews ("longitudinal") which + measure each change (if any) in individual health status. Health + expectancies are computed from the time spent in each health state + according to a model. More health states you consider, more time is + necessary to reach the Maximum Likelihood of the parameters involved + in the model. The simplest model is the multinomial logistic model + where pij is the probability to be observed in state j at the second + wave conditional to be observed in state i at the first + wave. Therefore the model is: log(pij/pii)= aij + bij*age+ cij*sex + + etc , where 'age' is age and 'sex' is a covariate. If you want to + have a more complex model than "constant and age", you should modify + the program where the markup *Covariates have to be included here + again* invites you to do it. More covariates you add, slower the convergence. The advantage of this computer programme, compared to a simple @@ -660,22 +693,53 @@ of the life expectancies. It also computes the period (stable) prevalence. Back prevalence and projections: - - back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj) - Computes the back prevalence limit for any combination of covariate values k - at any age between ageminpar and agemaxpar and returns it in **bprlim. In the loops, - - **bprevalim(**bprlim, ***mobaverage, nlstate, *p, age, **oldm, **savm, **dnewm, **doldm, **dsavm, ftolpl, ncvyearp, k); - - hBijx Back Probability to be in state i at age x-h being in j at x + + - back_prevalence_limit(double *p, double **bprlim, double ageminpar, + double agemaxpar, double ftolpl, int *ncvyearp, double + dateprev1,double dateprev2, int firstpass, int lastpass, int + mobilavproj) + + Computes the back prevalence limit for any combination of + covariate values k at any age between ageminpar and agemaxpar and + returns it in **bprlim. In the loops, + + - **bprevalim(**bprlim, ***mobaverage, nlstate, *p, age, **oldm, + **savm, **dnewm, **doldm, **dsavm, ftolpl, ncvyearp, k); + + - hBijx Back Probability to be in state i at age x-h being in j at x Computes for any combination of covariates k and any age between bage and fage 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,nlstate,stepm,oldm,savm, k); 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. Returns p3mat[i][j][h] after calling - p3mat[i][j][h]=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ - 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); + nhstepm*hstepm matrices. + Returns p3mat[i][j][h] after calling + p3mat[i][j][h]=matprod2(newm, + bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, + dsavm,ij),\ 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, + oldm); + +Important routines + +- func (or funcone), computes logit (pij) distinguishing + o fixed variables (single or product dummies or quantitative); + o varying variables by: + (1) wave (single, product dummies, quantitative), + (2) by age (can be month) age (done), age*age (done), age*Vn where Vn can be: + % fixed dummy (treated) or quantitative (not done because time-consuming); + % varying dummy (not done) or quantitative (not done); +- Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities) + and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually. +- printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables + o There are 2*cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if + race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless. + + + Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr). Institut national d'études démographiques, Paris. This software have been partly granted by Euro-REVES, a concerted action @@ -736,9 +800,9 @@ Back prevalence and projections: /* #define DEBUGLINMIN */ /* #define DEBUGHESS */ #define DEBUGHESSIJ -/* #define LINMINORIGINAL /\* Don't use loop on scale in linmin (accepting nan)*\/ */ +/* #define LINMINORIGINAL /\* Don't use loop on scale in linmin (accepting nan) *\/ */ #define POWELL /* Instead of NLOPT */ -#define POWELLF1F3 /* Skip test */ +#define POWELLNOF3INFF1TEST /* Skip test */ /* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test *\/ */ /* #define MNBRAKORIGINAL /\* Don't use mnbrak fix *\/ */ @@ -746,6 +810,7 @@ Back prevalence and projections: #include #include #include +#include #ifdef _WIN32 #include @@ -828,12 +893,12 @@ typedef struct { #define ODIRSEPARATOR '\\' #endif -/* $Id: imach.c,v 1.219 2016/02/15 00:48:12 brouard Exp $ */ +/* $Id: imach.c,v 1.231 2016/08/22 07:17:15 brouard Exp $ */ /* $State: Exp $ */ #include "version.h" char version[]=__IMACH_VERSION__; -char copyright[]="October 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015"; -char fullversion[]="$Revision: 1.219 $ $Date: 2016/02/15 00:48:12 $"; +char copyright[]="February 2016,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2018"; +char fullversion[]="$Revision: 1.231 $ $Date: 2016/08/22 07:17:15 $"; char strstart[80]; char optionfilext[10], optionfilefiname[FILENAMELENGTH]; int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ @@ -841,16 +906,22 @@ int nagesqr=0, nforce=0; /* nagesqr=1 if /* Number of covariates model=V2+V1+ V3*age+V2*V4 */ int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */ int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */ -int cptcovs=0; /**< cptcovs number of simple covariates V2+V1 =2 */ +int cptcovs=0; /**< cptcovs number of simple covariates in the model V2+V1 =2 */ +int cptcovsnq=0; /**< cptcovsnq number of simple covariates in the model but non quantitative V2+V1 =2 */ int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */ int cptcovprodnoage=0; /**< Number of covariate products without age */ int cptcoveff=0; /* Total number of covariates to vary for printing results */ +int ncoveff=0; /* Total number of effective covariates in the model */ +int nqfveff=0; /**< nqfveff Number of Quantitative Fixed Variables Effective */ +int ntveff=0; /**< ntveff number of effective time varying variables */ +int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ int cptcov=0; /* Working variable */ int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */ int npar=NPARMAX; int nlstate=2; /* Number of live states */ int ndeath=1; /* Number of dead states */ int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ +int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable */ int popbased=0; int *wav; /* Number of waves for this individuual 0 is possible */ @@ -865,6 +936,8 @@ int **dh; /* dh[mi][i] is number of step int **bh; /* bh[mi][i] is the bias (+ or -) for this individual if the delay between * wave mi and wave mi+1 is not an exact multiple of stepm. */ int countcallfunc=0; /* Count the number of calls to func */ +int selected(int kvar); /* Is covariate kvar selected for printing results */ + double jmean=1; /* Mean space between 2 waves */ double **matprod2(); /* test */ double **oldm, **newm, **savm; /* Working pointers to matrices */ @@ -989,14 +1062,69 @@ double *agedc; double **covar; /**< covar[j,i], value of jth covariate for individual i, * covar=matrix(0,NCOVMAX,1,n); * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */ +double **coqvar; /* Fixed quantitative covariate iqv */ +double ***cotvar; /* Time varying covariate itv */ +double ***cotqvar; /* Time varying quantitative covariate itqv */ double idx; int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ +int *TvarFD; /**< TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFDind; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFQ; /* TvarFQ[1]=V2 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarFQind; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ +int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + +int *Tvarsel; /**< Selected covariates for output */ +double *Tvalsel; /**< Selected modality value of covariate for output */ +int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ +int *Fixed; /** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ +int *Dummy; /** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ int *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*/ +int *TmodelInvind; /** 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*/ +int *TmodelInvQind; /** Tmodelqind[1]=1 for V5(quantitative varying) 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 */ int *Ndum; /** Freq of modality (tricode */ /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */ -int **Tvard, *Tprod, cptcovprod, *Tvaraff; +int **Tvard; +int *Tprod;/**< Gives the k position of the k1 product */ +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 +*/ +int cptcovprod, *Tvaraff, *invalidvarcomb; double *lsurv, *lpop, *tpop; +#define FD 1; /* Fixed dummy covariate */ +#define FQ 2; /* Fixed quantitative covariate */ +#define FP 3; /* Fixed product covariate */ +#define FPDD 7; /* Fixed product dummy*dummy covariate */ +#define FPDQ 8; /* Fixed product dummy*quantitative covariate */ +#define FPQQ 9; /* Fixed product quantitative*quantitative covariate */ +#define VD 10; /* Varying dummy covariate */ +#define VQ 11; /* Varying quantitative covariate */ +#define VP 12; /* Varying product covariate */ +#define VPDD 13; /* Varying product dummy*dummy covariate */ +#define VPDQ 14; /* Varying product dummy*quantitative covariate */ +#define VPQQ 15; /* Varying product quantitative*quantitative covariate */ +#define APFD 16; /* Age product * fixed dummy covariate */ +#define APFQ 17; /* Age product * fixed quantitative covariate */ +#define APVD 18; /* Age product * varying dummy covariate */ +#define APVQ 19; /* Age product * varying quantitative covariate */ + +#define FTYPE 1; /* Fixed covariate */ +#define VTYPE 2; /* Varying covariate (loop in wave) */ +#define ATYPE 2; /* Age product covariate (loop in dh within wave)*/ + +struct kmodel{ + int maintype; /* main type */ + int subtype; /* subtype */ +}; +struct kmodel modell[NCOVMAX]; + double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ double ftolhess; /**< Tolerance for computing hessian */ @@ -1536,12 +1664,12 @@ double brent(double ax, double bx, doubl etemp=e; e=d; if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x)) - d=CGOLD*(e=(x >= xm ? a-x : b-x)); + d=CGOLD*(e=(x >= xm ? a-x : b-x)); else { - d=p/q; - u=x+d; - if (u-a < tol2 || b-u < tol2) - d=SIGN(tol1,xm-x); + d=p/q; + u=x+d; + if (u-a < tol2 || b-u < tol2) + d=SIGN(tol1,xm-x); } } else { d=CGOLD*(e=(x >= xm ? a-x : b-x)); @@ -1555,13 +1683,13 @@ double brent(double ax, double bx, doubl } else { if (u < x) a=u; else b=u; if (fu <= fw || w == x) { - v=w; - w=u; - fv=fw; - fw=fu; + v=w; + w=u; + fv=fw; + fw=fu; } else if (fu <= fv || v == x || v == w) { - v=u; - fv=fu; + v=u; + fv=fu; } } } @@ -1602,12 +1730,12 @@ values at the three points, fa, fb , and *cx=(*bx)+GOLD*(*bx-*ax); *fc=(*func)(*cx); #ifdef DEBUG - printf("mnbrak0 *fb=%.12e *fc=%.12e\n",*fb,*fc); - fprintf(ficlog,"mnbrak0 *fb=%.12e *fc=%.12e\n",*fb,*fc); + printf("mnbrak0 a=%lf *fa=%lf, b=%lf *fb=%lf, c=%lf *fc=%lf\n",*ax,*fa,*bx,*fb,*cx, *fc); + fprintf(ficlog,"mnbrak0 a=%lf *fa=%lf, b=%lf *fb=%lf, c=%lf *fc=%lf\n",*ax,*fa,*bx,*fb,*cx, *fc); #endif - while (*fb > *fc) { /* Declining a,b,c with fa> fb > fc */ + while (*fb > *fc) { /* Declining a,b,c with fa> fb > fc. If fc=inf it exits and if flat fb=fc it exits too.*/ r=(*bx-*ax)*(*fb-*fc); - q=(*bx-*cx)*(*fb-*fa); + q=(*bx-*cx)*(*fb-*fa); /* What if fa=inf */ u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/ (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r)); /* Minimum abscissa of a parabolic estimated from (a,fa), (b,fb) and (c,fc). */ ulim=(*bx)+GLIMIT*(*cx-*bx); /* Maximum abscissa where function should be evaluated */ @@ -1618,8 +1746,8 @@ values at the three points, fa, fb , and double A, fparabu; A= (*fb - *fa)/(*bx-*ax)/(*bx+*ax-2*u); fparabu= *fa - A*(*ax-u)*(*ax-u); - printf("mnbrak (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf, fparabu=%.12f)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu, fparabu); - fprintf(ficlog, "mnbrak (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf, fparabu=%.12f)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu, fparabu); + printf("\nmnbrak (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf, fparabu=%.12f, q=%lf < %lf=r)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu, fparabu,q,r); + fprintf(ficlog,"\nmnbrak (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf, fparabu=%.12f, q=%lf < %lf=r)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu, fparabu,q,r); /* And thus,it can be that fu > *fc even if fparabu < *fc */ /* mnbrak (*ax=7.666299858533, *fa=299039.693133272231), (*bx=8.595447774979, *fb=298976.598289369489), (*cx=10.098840694817, *fc=298946.631474258087), (*u=9.852501168332, fu=298948.773013752128, fparabu=298945.434711494134) */ @@ -1652,9 +1780,12 @@ values at the three points, fa, fb , and /* fu = *fc; */ /* *fc =dum; */ /* } */ -#ifdef DEBUG - printf("mnbrak34 fu < or >= fc \n"); - fprintf(ficlog, "mnbrak34 fu < fc\n"); +#ifdef DEBUGMNBRAK + double A, fparabu; + A= (*fb - *fa)/(*bx-*ax)/(*bx+*ax-2*u); + fparabu= *fa - A*(*ax-u)*(*ax-u); + printf("\nmnbrak35 ax=%lf fa=%lf bx=%lf fb=%lf, u=%lf fp=%lf fu=%lf < or >= fc=%lf cx=%lf, q=%lf < %lf=r \n",*ax, *fa, *bx,*fb,u,fparabu,fu,*fc,*cx,q,r); + fprintf(ficlog,"\nmnbrak35 ax=%lf fa=%lf bx=%lf fb=%lf, u=%lf fp=%lf fu=%lf < or >= fc=%lf cx=%lf, q=%lf < %lf=r \n",*ax, *fa, *bx,*fb,u,fparabu,fu,*fc,*cx,q,r); #endif dum=u; /* Shifting c and u */ u = *cx; @@ -1665,38 +1796,45 @@ values at the three points, fa, fb , and #endif } else if ((*cx-u)*(u-ulim) > 0.0) { /* u is after c but before ulim */ #ifdef DEBUG - printf("mnbrak2 u after c but before ulim\n"); - fprintf(ficlog, "mnbrak2 u after c but before ulim\n"); + printf("\nmnbrak2 u=%lf after c=%lf but before ulim\n",u,*cx); + fprintf(ficlog,"\nmnbrak2 u=%lf after c=%lf but before ulim\n",u,*cx); #endif fu=(*func)(u); if (fu < *fc) { #ifdef DEBUG - printf("mnbrak2 u after c but before ulim AND fu < fc\n"); - fprintf(ficlog, "mnbrak2 u after c but before ulim AND fu = 0.0) { /* u outside ulim (verifying that ulim is beyond c) */ #ifdef DEBUG - printf("mnbrak2 u outside ulim (verifying that ulim is beyond c)\n"); - fprintf(ficlog, "mnbrak2 u outside ulim (verifying that ulim is beyond c)\n"); + printf("\nmnbrak2 u=%lf outside ulim=%lf (verifying that ulim is beyond c=%lf)\n",u,ulim,*cx); + fprintf(ficlog,"\nmnbrak2 u=%lf outside ulim=%lf (verifying that ulim is beyond c=%lf)\n",u,ulim,*cx); #endif u=ulim; fu=(*func)(u); } else { /* u could be left to b (if r > q parabola has a maximum) */ #ifdef DEBUG - printf("mnbrak2 u could be left to b (if r > q parabola has a maximum)\n"); - fprintf(ficlog, "mnbrak2 u could be left to b (if r > q parabola has a maximum)\n"); + printf("\nmnbrak2 u=%lf could be left to b=%lf (if r=%lf > q=%lf parabola has a maximum)\n",u,*bx,r,q); + fprintf(ficlog,"\nmnbrak2 u=%lf could be left to b=%lf (if r=%lf > q=%lf parabola has a maximum)\n",u,*bx,r,q); #endif u=(*cx)+GOLD*(*cx-*bx); fu=(*func)(u); +#ifdef DEBUG + printf("\nmnbrak2 new u=%lf fu=%lf shifted gold left from c=%lf and b=%lf \n",u,fu,*cx,*bx); + fprintf(ficlog,"\nmnbrak2 new u=%lf fu=%lf shifted gold left from c=%lf and b=%lf \n",u,fu,*cx,*bx); +#endif } /* end tests */ SHFT(*ax,*bx,*cx,u) SHFT(*fa,*fb,*fc,fu) #ifdef DEBUG - printf("mnbrak2 (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu); - fprintf(ficlog, "mnbrak2 (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf), (*u=%.12f, fu=%.12lf)\n",*ax,*fa,*bx,*fb,*cx,*fc,u,fu); + printf("\nmnbrak2 shift (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf)\n",*ax,*fa,*bx,*fb,*cx,*fc); + fprintf(ficlog, "\nmnbrak2 shift (*ax=%.12f, *fa=%.12lf), (*bx=%.12f, *fb=%.12lf), (*cx=%.12f, *fc=%.12lf)\n",*ax,*fa,*bx,*fb,*cx,*fc); #endif } /* end while; ie return (a, b, c, fa, fb, fc) such that a < b < c with f(a) > f(b) and fb < f(c) */ } @@ -1711,7 +1849,11 @@ int ncom; double *pcom,*xicom; double (*nrfunc)(double []); +#ifdef LINMINORIGINAL 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) +#endif { double brent(double ax, double bx, double cx, double (*f)(double), double tol, double *xmin); @@ -1755,28 +1897,41 @@ void linmin(double p[], double xi[], int #ifdef LINMINORIGINAL #else if (fx != fx){ - xxs=xxs/scale; /* Trying a smaller xx, closer to initial ax=0 */ - printf("|"); - fprintf(ficlog,"|"); + xxs=xxs/scale; /* Trying a smaller xx, closer to initial ax=0 */ + printf("|"); + fprintf(ficlog,"|"); #ifdef DEBUGLINMIN - printf("\nLinmin NAN : input [axs=%lf:xxs=%lf], mnbrak outputs fx=%lf <(fb=%lf and fa=%lf) with xx=%lf in [ax=%lf:bx=%lf] \n", axs, xxs, fx,fb, fa, xx, ax, bx); + printf("\nLinmin NAN : input [axs=%lf:xxs=%lf], mnbrak outputs fx=%lf <(fb=%lf and fa=%lf) with xx=%lf in [ax=%lf:bx=%lf] \n", axs, xxs, fx,fb, fa, xx, ax, bx); #endif } - }while(fx != fx); + }while(fx != fx && xxs > 1.e-5); #endif #ifdef DEBUGLINMIN printf("\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb); fprintf(ficlog,"\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb); #endif +#ifdef LINMINORIGINAL +#else + if(fb == fx){ /* Flat function in the direction */ + xmin=xx; + *flat=1; + }else{ + *flat=0; +#endif + /*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */ *fret=brent(ax,xx,bx,f1dim,TOL,&xmin); /* Giving a bracketting triplet (ax, xx, bx), find a minimum, xmin, according to f1dim, *fret(xmin),*/ /* fa = f(p[j] + ax * xi[j]), fx = f(p[j] + xx * xi[j]), fb = f(p[j] + bx * xi[j]) */ /* fmin = f(p[j] + xmin * xi[j]) */ /* P+lambda n in that direction (lambdamin), with TOL between abscisses */ /* f1dim(xmin): for (j=1;j<=ncom;j++) xt[j]=pcom[j]+xmin*xicom[j]; */ #ifdef DEBUG - printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin); - fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin); + printf("retour brent from bracket (a=%lf fa=%lf, xx=%lf fx=%lf, b=%lf fb=%lf): fret=%lf xmin=%lf\n",ax,fa,xx,fx,bx,fb,*fret,xmin); + fprintf(ficlog,"retour brent from bracket (a=%lf fa=%lf, xx=%lf fx=%lf, b=%lf fb=%lf): fret=%lf xmin=%lf\n",ax,fa,xx,fx,bx,fb,*fret,xmin); +#endif +#ifdef LINMINORIGINAL +#else + } #endif #ifdef DEBUGLINMIN printf("linmin end "); @@ -1826,17 +1981,33 @@ such that failure to decrease by more th output, p is set to the best point found, xi is the then-current direction set, fret is the returned function value at p , and iter is the number of iterations taken. The routine linmin is used. */ +#ifdef LINMINORIGINAL +#else + int *flatdir; /* Function is vanishing in that direction */ + int flat=0, flatd=0; /* Function is vanishing in that direction */ +#endif void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, double (*func)(double [])) { - void linmin(double p[], double xi[], int n, double *fret, +#ifdef LINMINORIGINAL + 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); +#endif int i,ibig,j; double del,t,*pt,*ptt,*xit; double directest; double fp,fptt; double *xits; int niterf, itmp; +#ifdef LINMINORIGINAL +#else + + flatdir=ivector(1,n); + for (j=1;j<=n;j++) flatdir[j]=0; +#endif pt=vector(1,n); ptt=vector(1,n); @@ -1870,18 +2041,18 @@ void powell(double p[], double **xi, int 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 */ @@ -1893,27 +2064,32 @@ void powell(double p[], double **xi, int #endif printf("%d",i);fflush(stdout); /* print direction (parameter) i */ fprintf(ficlog,"%d",i);fflush(ficlog); +#ifdef LINMINORIGINAL linmin(p,xit,n,fret,func); /* Point p[n]. xit[n] has been loaded for direction i as input.*/ - /* Outputs are fret(new point p) p is updated and xit rescaled */ +#else + linmin(p,xit,n,fret,func,&flat); /* Point p[n]. xit[n] has been loaded for direction i as input.*/ + flatdir[i]=flat; /* Function is vanishing in that direction i */ +#endif + /* Outputs are fret(new point p) p is updated and xit rescaled */ if (fabs(fptt-(*fret)) > del) { /* We are keeping the max gain on each of the n directions */ - /* because that direction will be replaced unless the gain del is small */ - /* in comparison with the 'probable' gain, mu^2, with the last average direction. */ - /* Unless the n directions are conjugate some gain in the determinant may be obtained */ - /* with the new direction. */ - del=fabs(fptt-(*fret)); - ibig=i; + /* because that direction will be replaced unless the gain del is small */ + /* in comparison with the 'probable' gain, mu^2, with the last average direction. */ + /* Unless the n directions are conjugate some gain in the determinant may be obtained */ + /* with the new direction. */ + del=fabs(fptt-(*fret)); + ibig=i; } #ifdef DEBUG printf("%d %.12e",i,(*fret)); fprintf(ficlog,"%d %.12e",i,(*fret)); for (j=1;j<=n;j++) { - xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5); - printf(" x(%d)=%.12e",j,xit[j]); - fprintf(ficlog," x(%d)=%.12e",j,xit[j]); + xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5); + printf(" x(%d)=%.12e",j,xit[j]); + fprintf(ficlog," x(%d)=%.12e",j,xit[j]); } for(j=1;j<=n;j++) { - printf(" p(%d)=%.12e",j,p[j]); - fprintf(ficlog," p(%d)=%.12e",j,p[j]); + printf(" p(%d)=%.12e",j,p[j]); + fprintf(ficlog," p(%d)=%.12e",j,p[j]); } printf("\n"); fprintf(ficlog,"\n"); @@ -1922,6 +2098,14 @@ void powell(double p[], double **xi, int /* Convergence test will use last linmin estimation (fret) and compare former iteration (fp) */ /* But p and xit have been updated at the end of linmin, *fret corresponds to new p, xit */ /* New value of last point Pn is not computed, P(n-1) */ + for(j=1;j<=n;j++) { + if(flatdir[j] >0){ + printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); + fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]); + } + /* printf("\n"); */ + /* fprintf(ficlog,"\n"); */ + } if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* 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 */ @@ -1930,7 +2114,7 @@ void powell(double p[], double **xi, int /* By adding age*age and V1*age the gain (-2LL) should be more than 5.99 (ddl=2) */ /* By using V1+V2+V3, the gain should be 7.82, compared with basic 1+age. */ /* By adding 10 parameters more the gain should be 18.31 */ - + /* Starting the program with initial values given by a former maximization will simply change */ /* the scales of the directions and the directions, because the are reset to canonical directions */ /* Thus the first calls to linmin will give new points and better maximizations until fp-(*fret) is */ @@ -1958,7 +2142,10 @@ void powell(double p[], double **xi, int } #endif - +#ifdef LINMINORIGINAL +#else + free_ivector(flatdir,1,n); +#endif free_vector(xit,1,n); free_vector(xits,1,n); free_vector(ptt,1,n); @@ -1972,7 +2159,11 @@ void powell(double p[], double **xi, int pt[j]=p[j]; } fptt=(*func)(ptt); /* f_3 */ -#ifdef POWELLF1F3 +#ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ + if (*iter <=4) { +#else +#endif +#ifdef POWELLNOF3INFF1TEST /* skips test F3 0 */ + /* mu² and del² are equal when f3=f1 */ + /* f3 < f1 : mu² < del <= lambda^2 both test are equivalent */ + /* f3 < f1 : mu² < lambda^2 < del then directtest is negative and powell t is positive */ + /* f3 > f1 : lambda² < mu^2 < del then t is negative and directest >0 */ + /* f3 > f1 : lambda² < del < mu^2 then t is positive and directest >0 */ #ifdef NRCORIGINAL t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)- del*SQR(fp-fptt); /* Original Numerical Recipes in C*/ #else @@ -2004,57 +2203,86 @@ void powell(double p[], double **xi, int if (t < 0.0) { /* Then we use it for new direction */ #else if (directest*t < 0.0) { /* Contradiction between both tests */ - printf("directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del); + printf("directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del); printf("f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0*(*fret)+fptt, fp -(*fret) -del, fp-fptt); - fprintf(ficlog,"directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del); + fprintf(ficlog,"directest= %.12lf (if directest<0 or t<0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del); fprintf(ficlog,"f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0*(*fret)+fptt, fp -(*fret) -del, fp-fptt); } if (directest < 0.0) { /* Then we use it for new direction */ #endif #ifdef DEBUGLINMIN - printf("Before linmin in direction P%d-P0\n",n); - for (j=1;j<=n;j++) { - printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - if(j % ncovmodel == 0){ - printf("\n"); - fprintf(ficlog,"\n"); - } - } + printf("Before linmin in direction P%d-P0\n",n); + for (j=1;j<=n;j++) { + printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + if(j % ncovmodel == 0){ + printf("\n"); + fprintf(ficlog,"\n"); + } + } #endif - linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ -#ifdef DEBUGLINMIN - for (j=1;j<=n;j++) { - printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); - if(j % ncovmodel == 0){ - printf("\n"); - fprintf(ficlog,"\n"); - } - } +#ifdef LINMINORIGINAL + linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ +#else + linmin(p,xit,n,fret,func,&flat); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/ + flatdir[i]=flat; /* Function is vanishing in that direction i */ #endif - for (j=1;j<=n;j++) { - xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ - xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ - } - printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); - fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); +#ifdef DEBUGLINMIN + for (j=1;j<=n;j++) { + printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); + if(j % ncovmodel == 0){ + printf("\n"); + fprintf(ficlog,"\n"); + } + } +#endif + for (j=1;j<=n;j++) { + xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */ + xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */ + } +#ifdef LINMINORIGINAL +#else + for (j=1, flatd=0;j<=n;j++) { + if(flatdir[j]>0) + flatd++; + } + if(flatd >0){ + printf("%d flat directions\n",flatd); + fprintf(ficlog,"%d flat directions\n",flatd); + for (j=1;j<=n;j++) { + if(flatdir[j]>0){ + printf("%d ",j); + fprintf(ficlog,"%d ",j); + } + } + printf("\n"); + fprintf(ficlog,"\n"); + } +#endif + printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); + fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig); + #ifdef DEBUG - printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); - fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); - for(j=1;j<=n;j++){ - printf(" %.12e",xit[j]); - fprintf(ficlog," %.12e",xit[j]); - } - printf("\n"); - fprintf(ficlog,"\n"); + printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); + fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig); + for(j=1;j<=n;j++){ + printf(" %lf",xit[j]); + fprintf(ficlog," %lf",xit[j]); + } + printf("\n"); + fprintf(ficlog,"\n"); #endif } /* end of t or directest negative */ -#ifdef POWELLF1F3 +#ifdef POWELLNOF3INFF1TEST #else } /* end if (fptt < fp) */ #endif +#ifdef NODIRECTIONCHANGEDUNTILNITER /* No change in drections until some iterations are done */ + } /*NODIRECTIONCHANGEDUNTILNITER No change in drections until some iterations are done */ +#else +#endif } /* loop iteration */ } @@ -2289,7 +2517,7 @@ Earliest age to start was %d-%d=%d, ncvl *ncvyear= -( (int)age- (int)agefin); /* printf("Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear);*/ if(maxmax < ftolpl){ - printf("OK Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); + /* printf("OK Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); */ free_vector(min,1,nlstate); free_vector(max,1,nlstate); free_vector(meandiff,1,nlstate); @@ -2328,65 +2556,65 @@ double **pmij(double **ps, double *cov, /*double t34;*/ int i,j, nc, ii, jj; - for(i=1; i<= nlstate; i++){ - for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ - } - ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ - } - } + for(i=1; i<= nlstate; i++){ + for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ + } + ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ + } + } - for(i=1; i<= nlstate; i++){ - s1=0; - for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ - ps[i][i]=1./(s1+1.); - /* Computing other pijs */ - for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ + ps[i][i]=1./(s1+1.); + /* Computing other pijs */ + for(j=1; j= 1.e-10){ - /* 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 */ - /* 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++){ - for (ii=1;ii<=nlstate+ndeath;ii++){ - 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 */ - /* newm or out is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */ - /* end bmij */ - return ps; + dnewm=ddnewms; + dsavm=ddsavms; + + 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); + /* 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 */ + for (ii=1;ii<=nlstate;ii++){ + sumnew+=dsavm[ii][j]*prevacurrent[(int)agefin][ii][ij]; + } /* 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(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 */ + /* 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++){ + for (ii=1;ii<=nlstate+ndeath;ii++){ + 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 */ + /* newm or out is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */ + /* end bmij */ + return ps; } /*************** transition probabilities ***************/ @@ -2606,19 +2834,19 @@ double ***hpxij(double ***po, int nhstep agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */ cov[2]=agexact; if(nagesqr==1) - cov[3]= agexact*agexact; + 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])]; */ + 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]; */ + /* 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])]; */ - - + 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]);*/ /* right multiplication of oldm by the current matrix */ @@ -2654,7 +2882,7 @@ double ***hpxij(double ***po, int nhstep /************* Higher Back Matrix Product ***************/ /* 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 ) +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 'nhstepm*hstepm*stepm' months (i.e. until @@ -2666,16 +2894,16 @@ double ***hpxij(double ***po, int nhstep Model is determined by parameters x and covariates have to be included manually here. - */ + */ int i, j, d, h, k; double **out, cov[NCOVMAX+1]; double **newm; double agexact; double agebegin, ageend; - double **oldm, **savm; + double **oldm, **savm; - oldm=oldms;savm=savms; + oldm=oldms;savm=savms; /* Hstepm could be zero and should return the unit matrix */ for (i=1;i<=nlstate+ndeath;i++) for (j=1;j<=nlstate+ndeath;j++){ @@ -2692,27 +2920,27 @@ double ***hpxij(double ***po, int nhstep /* agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /\* age just before transition *\/ */ cov[2]=agexact; if(nagesqr==1) - cov[3]= agexact*agexact; + 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])]; */ + 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]; */ + /* 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])]; */ + 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] */ /* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */ - /* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */ + /* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */ out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\ - 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); + 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* if((int)age == 70){ */ /* printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */ /* for(i=1; i<=nlstate+ndeath; i++) { */ @@ -2732,12 +2960,12 @@ double ***hpxij(double ***po, int nhstep } for(i=1; i<=nlstate+ndeath; i++) for(j=1;j<=nlstate+ndeath;j++) { - po[i][j][h]=newm[i][j]; - /*if(h==nhstepm) printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]);*/ + po[i][j][h]=newm[i][j]; + /*if(h==nhstepm) printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]);*/ } /*printf("h=%d ",h);*/ } /* end h */ - /* printf("\n H=%d \n",h); */ + /* printf("\n H=%d \n",h); */ return po; } @@ -2766,11 +2994,12 @@ double ***hpxij(double ***po, int nhstep double func( double *x) { int i, ii, j, k, mi, d, kk; + int ioffset=0; double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; double **out; - double sw; /* Sum of weights */ double lli; /* Individual log likelihood */ int s1, s2; + int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */ double bbh, survp; long ipmx; double agexact; @@ -2786,97 +3015,124 @@ double func( double *x) cov[1]=1.; for(k=1; k<=nlstate; k++) ll[k]=0.; - + ioffset=0; if(mle==1){ for (i=1,ipmx=0, sw=0.; i<=imx; i++){ /* Computes the values of the ncovmodel covariates of the model - depending if the covariates are fixed or variying (age dependent) and stores them in cov[] + depending if the covariates are fixed or varying (age dependent) and stores them in cov[] 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. - */ - for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */ - cov[2+nagesqr+k]=covar[Tvar[k]][i]; + */ + ioffset=2+nagesqr+cptcovage; + /* for (k=1; k<=cptcovn;k++){ /\* Simple and product covariates without age* products *\/ */ + for (k=1; k<=ncoveff;k++){ /* Simple and product covariates without age* products */ + cov[++ioffset]=covar[Tvar[k]][i]; + } + for(iqv=1; iqv <= nqfveff; iqv++){ /* Quantitatives and Fixed covariates */ + cov[++ioffset]=coqvar[Tvar[iqv]][i]; } + /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] has been calculated etc */ + /* For an individual i, wav[i] gives the number of effective waves */ + /* We compute the contribution to Likelihood of each effective transition + mw[mi][i] is real wave of the mi th effectve wave */ + /* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i]; + s2=s[mw[mi+1][i]][i]; + And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i] + But if the variable is not in the model TTvar[iv] is the real variable effective in the model: + meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i] + */ for(mi=1; mi<= wav[i]-1; mi++){ - 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(d=0; d 1 the results are less biased than in previous versions. - */ - s1=s[mw[mi][i]][i]; - s2=s[mw[mi+1][i]][i]; - bbh=(double)bh[mi][i]/(double)stepm; - /* bias bh is positive if real duration - * is higher than the multiple of stepm and negative otherwise. - */ - /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ - if( s2 > nlstate){ - /* i.e. if s2 is a death state and if the date of death is known - then the contribution to the likelihood is the probability to - die between last step unit time and current step unit time, - which is also equal to probability to die before dh - minus probability to die before dh-stepm . - In version up to 0.92 likelihood was computed - as if date of death was unknown. Death was treated as any other - health state: the date of the interview describes the actual state - and not the date of a change in health state. The former idea was - to consider that at each interview the state was recorded - (healthy, disable or death) and IMaCh was corrected; but when we - introduced the exact date of death then we should have modified - the contribution of an exact death to the likelihood. This new - contribution is smaller and very dependent of the step unit - stepm. It is no more the probability to die between last interview - and month of death but the probability to survive from last - interview up to one month before death multiplied by the - probability to die within a month. Thanks to Chris - Jackson for correcting this bug. Former versions increased - mortality artificially. The bad side is that we add another loop - which slows down the processing. The difference can be up to 10% - lower mortality. - */ - /* If, at the beginning of the maximization mostly, the - cumulative probability or probability to be dead is - constant (ie = 1) over time d, the difference is equal to - 0. out[s1][3] = savm[s1][3]: probability, being at state - s1 at precedent wave, to be dead a month before current - wave is equal to probability, being at state s1 at - precedent wave, to be dead at mont of the current - wave. Then the observed probability (that this person died) - is null according to current estimated parameter. In fact, - it should be very low but not zero otherwise the log go to - infinity. - */ + for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates */ + /* cov[ioffset+itv]=cotvar[mw[mi][i]][Tvar[itv]][i]; /\* Not sure, Tvar V4+V3+V5 Tvaraff ? *\/ */ + cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; + } + for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ + if(cotqvar[mw[mi][i]][iqtv][i] == -1){ + printf("i=%d, mi=%d, iqtv=%d, cotqvar[mw[mi][i]][iqtv][i]=%f",i,mi,iqtv,cotqvar[mw[mi][i]][iqtv][i]); + } + cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; + /* cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][iqtv][i]; */ + } + /* ioffset=2+nagesqr+cptcovn+nqv+ntv+nqtv; */ + 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(d=0; d 1 the results are less biased than in previous versions. + */ + s1=s[mw[mi][i]][i]; + s2=s[mw[mi+1][i]][i]; + bbh=(double)bh[mi][i]/(double)stepm; + /* bias bh is positive if real duration + * is higher than the multiple of stepm and negative otherwise. + */ + /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ + if( s2 > nlstate){ + /* i.e. if s2 is a death state and if the date of death is known + then the contribution to the likelihood is the probability to + die between last step unit time and current step unit time, + which is also equal to probability to die before dh + minus probability to die before dh-stepm . + In version up to 0.92 likelihood was computed + as if date of death was unknown. Death was treated as any other + health state: the date of the interview describes the actual state + and not the date of a change in health state. The former idea was + to consider that at each interview the state was recorded + (healthy, disable or death) and IMaCh was corrected; but when we + introduced the exact date of death then we should have modified + the contribution of an exact death to the likelihood. This new + contribution is smaller and very dependent of the step unit + stepm. It is no more the probability to die between last interview + and month of death but the probability to survive from last + interview up to one month before death multiplied by the + probability to die within a month. Thanks to Chris + Jackson for correcting this bug. Former versions increased + mortality artificially. The bad side is that we add another loop + which slows down the processing. The difference can be up to 10% + lower mortality. + */ + /* If, at the beginning of the maximization mostly, the + cumulative probability or probability to be dead is + constant (ie = 1) over time d, the difference is equal to + 0. out[s1][3] = savm[s1][3]: probability, being at state + s1 at precedent wave, to be dead a month before current + wave is equal to probability, being at state s1 at + precedent wave, to be dead at mont of the current + wave. Then the observed probability (that this person died) + is null according to current estimated parameter. In fact, + it should be very low but not zero otherwise the log go to + infinity. + */ /* #ifdef INFINITYORIGINAL */ /* lli=log(out[s1][s2] - savm[s1][s2]); */ /* #else */ @@ -2893,16 +3149,16 @@ double func( double *x) /*survp += out[s1][j]; */ lli= log(survp); } - else if (s2==-4) { + else if (s2==-4) { for (j=3,survp=0. ; j<=nlstate; j++) survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; - lli= log(survp); - } - else if (s2==-5) { - for (j=1,survp=0. ; j<=2; j++) + lli= log(survp); + } + else if (s2==-5) { + for (j=1,survp=0. ; j<=2; j++) survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; - lli= log(survp); - } + lli= log(survp); + } else{ lli= log((1.+bbh)*out[s1][s2]- bbh*savm[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 */ @@ -2910,7 +3166,7 @@ double func( double *x) /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ /*if(lli ==000.0)*/ /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ - ipmx +=1; + ipmx +=1; sw += weight[i]; ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; /* if (lli < log(mytinydouble)){ */ @@ -3071,13 +3327,16 @@ double func( double *x) /*************** log-likelihood *************/ double funcone( double *x) { - /* Same as likeli but slower because of a lot of printf and if */ + /* Same as func but slower because of a lot of printf and if */ int i, ii, j, k, mi, d, kk; + int ioffset=0; double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1]; double **out; double lli; /* Individual log likelihood */ double llt; int s1, s2; + int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */ + double bbh, survp; double agexact; double agebegin, ageend; @@ -3090,37 +3349,60 @@ double funcone( double *x) cov[1]=1.; for(k=1; k<=nlstate; k++) ll[k]=0.; - + ioffset=0; for (i=1,ipmx=0, sw=0.; i<=imx; i++){ - for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; - for(mi=1; mi<= wav[i]-1; mi++){ + ioffset=2+nagesqr+cptcovage; + /* 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 */ + cov[++ioffset]=covar[TvarFD[k]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ + } + for (k=1; k<=nqfveff;k++){ /* Simple and product fixed Quantitative covariates without age* products */ + cov[++ioffset]=coqvar[TvarFQ[k]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V2 and V1*V2 is fixed (k=6 and 7?)*/ + } + /* for(iqv=1; iqv <= nqfveff; iqv++){ /\* Quantitative fixed covariates *\/ */ + /* cov[++ioffset]=coqvar[Tvar[iqv]][i]; /\* Only V2 k=6 and V1*V2 7 *\/ */ + /* } */ + + for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ + for(itv=1; itv <= ntveff; itv++){ /* Varying dummy covariates (single??)*/ + /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ + /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ + k=ioffset-2-nagesqr-cptcovage+itv; /* position in simple model */ + cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; + /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ + } + for(iqtv=1; iqtv <= nqtveff; iqtv++){ /* Varying quantitatives covariates */ + iv=TmodelInvQind[iqtv]; /* Counting the # varying covariate from 1 to ntveff */ + /* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); */ + cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; + } for (ii=1;ii<=nlstate+ndeath;ii++) - for (j=1;j<=nlstate+ndeath;j++){ - oldm[ii][j]=(ii==j ? 1.0 : 0.0); - 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\nIMaCh PHTM_ %s\n %s
%s \
\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); + 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

\n",fileresphtm, fileresphtm); strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { @@ -3723,223 +4012,303 @@ Title=%s
Datafile=%s Firstpass=%d La fprintf(ficresphtmfr,"\nIMaCh PHTM_Frequency table %s\n %s
%s \
\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); + 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); j1=0; - j=cptcoveff; + /* j=ncoveff; /\* Only fixed dummy covariates *\/ */ + j=cptcoveff; /* Only dummy covariates of the model */ if (cptcovn<1) {j=1;ncodemax[1]=1;} first=1; - for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ /* Loop on covariates combination */ - /*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; - - dateintsum=0; - k2cpt=0; - for (i=1; i<=imx; i++) { /* For each individual i */ - bool=1; - if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ - for (z1=1; z1<=cptcoveff; z1++) - if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ - /* Tests if the value of each of the covariates of i is equal to filter j1 */ - 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*/ - } - } /* cptcovn > 0 */ - - if (bool==1){ - /* for(m=firstpass; m<=lastpass; m++){ */ - for(mi=1; mi=firstpass && m <=lastpass){ - k2=anint[m][i]+(mint[m][i]/12.); - /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ - if(agev[m][i]==0) agev[m][i]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ - if(agev[m][i]==1) agev[m][i]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ - if (s[m][i]>0 && s[m][i]<=nlstate) /* If status at wave m is known and a live state */ - prop[s[m][i]][(int)agev[m][i]] += weight[i]; /* At age of beginning of transition, where status is known */ - if (m1) && (agev[m][i]< (iagemax+3)) && (anint[m][i]!=9999) && (mint[m][i]!=99)) { - dateintsum=dateintsum+k2; - k2cpt++; - /* printf("i=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",i, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ - } - /*}*/ - } /* end m */ - } /* end bool */ - } /* end i = 1 to imx */ - - /* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/ - pstamp(ficresp); - if (cptcovn>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,""); - 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(i=iagemin; i <= iagemax+3; i++){ - fprintf(ficresphtm,""); - if(i==iagemax+1){ - fprintf(ficlog,"1"); - fprintf(ficresphtmfr," "); - }else if(i==iagemax+2){ - fprintf(ficlog,"0"); - fprintf(ficresphtmfr," "); - }else if(i==iagemax+3){ - fprintf(ficlog,"Total"); - fprintf(ficresphtmfr," "); - }else{ - if(first==1){ - first=0; - printf("See log file for details...\n"); - } - fprintf(ficresphtmfr," ",i); - fprintf(ficlog,"Age %d", i); - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) - pp[jk] += freq[jk][m][i]; - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pos=0; m <=0 ; m++) - pos += freq[jk][m][i]; - 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); - } - } + /* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: + reference=low_education V1=0,V2=0 + med_educ V1=1 V2=0, + high_educ V1=0 V2=1 + Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff + */ - for(jk=1; jk <=nlstate ; jk++){ - for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) - pp[jk] += freq[jk][m][i]; - } - for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){ - pos += pp[jk]; - posprop += prop[jk][i]; - } - 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( i <= iagemax){ - if(pos>=1.e-5){ - fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop); - fprintf(ficresphtm,"",i,prop[jk][i]/posprop, prop[jk][i],posprop); - /*probs[i][jk][j1]= pp[jk]/pos;*/ - /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/ - } - else{ - fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop); - fprintf(ficresphtm,"",i, prop[jk][i],posprop); - } - } - } - - for(jk=-1; jk <=nlstate+ndeath; jk++){ - for(m=-1; m <=nlstate+ndeath; m++){ - if(freq[jk][m][i] !=0 ) { /* minimizing output */ - if(first==1){ - printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); - } - fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]); - } - if(jk!=0 && m!=0) - fprintf(ficresphtmfr," ",freq[jk][m][i]); - } - } - fprintf(ficresphtmfr,"\n "); - if(i <= iagemax){ - fprintf(ficresp,"\n"); - fprintf(ficresphtm,"\n"); - } - if(first==1) - printf("Others in log...\n"); - fprintf(ficlog,"\n"); - } /* end loop i */ - fprintf(ficresphtm,"
Age%d%d
0
Unknown
Total
%d%d%.5f%.0f%.0f%dNaNq%.0f%.0f%.0f
\n"); - fprintf(ficresphtmfr,"\n"); - /*}*/ - } /* end j1 */ + 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; 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)) { + dateintsum=dateintsum+k2; + k2cpt++; + /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ + } + } /* 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,""); + 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(first==1) + printf("Others in log...\n"); + fprintf(ficlog,"\n"); + } /* end loop age iage */ + fprintf(ficresphtm,""); + for(jk=1; jk <=nlstate ; jk++){ + if(posproptt < 1.e-5){ + fprintf(ficresphtm,"",pospropt[jk],posproptt); + }else{ + fprintf(ficresphtm,"",pospropt[jk]/posproptt,pospropt[jk],posproptt); + } + } + fprintf(ficresphtm,"\n"); + fprintf(ficresphtm,"
Age%d%d
0
Unknown
Total
%d%d%.5f%.0f%.0f%dNaNq%.0f%.0f%.0f
TotNanq%.0f%.0f%.5f%.0f%.0f
\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(pp,1,nlstate); + free_vector(pospropt,1,nlstate); + free_vector(posprop,1,nlstate); free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE); - /* End of Freq */ + free_vector(pp,1,nlstate); + /* End of freqsummary */ } /************ Prevalence ********************/ @@ -3950,7 +4319,7 @@ void prevalence(double ***probs, double We still use firstpass and lastpass as another selection. */ - int i, m, jk, j1, bool, z1,j; + int i, m, jk, j1, bool, z1,j, iv; int mi; /* Effective wave */ int iage; double agebegin, ageend; @@ -3975,59 +4344,69 @@ void prevalence(double ***probs, double 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++) - prop[i][iage]=0.0; + 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)]); */ + fprintf(ficlog,"Prevalence combination of varying and fixed dummies %d\n",j1); for (i=1; i<=imx; i++) { /* Each individual */ bool=1; - if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ - for (z1=1; z1<=cptcoveff; z1++) /* For each covariate, look at the value for individual i and checks if it is equal to the corresponding value of this covariate according to current combination j1*/ - if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) - bool=0; - } - if (bool==1) { /* For this combination of covariates values, this individual fits */ - /* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ - for(mi=1; mi=firstpass && m <=lastpass){ - y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ - 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){ - 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); - } - if (s[m][i]>0 && s[m][i]<=nlstate) { - /*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ - prop[s[m][i]][(int)agev[m][i]] += weight[i];/* At age of beginning of transition, where status is known */ - prop[s[m][i]][iagemax+3] += weight[i]; - } /* end valid statuses */ - } /* end selection of dates */ - } /* end selection of waves */ - } /* end effective waves */ - } /* end bool */ - } + /* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ + for(mi=1; mi=firstpass && m <=lastpass){ + y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ + 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){ + 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); + } + if (s[m][i]>0 && s[m][i]<=nlstate) { + /*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ + prop[s[m][i]][(int)agev[m][i]] += weight[i];/* At age of beginning of transition, where status is known */ + prop[s[m][i]][iagemax+3] += weight[i]; + } /* end valid statuses */ + } /* end selection of dates */ + } /* end selection of waves */ + } /* end bool */ + } /* end wave */ + } /* end individual */ for(i=iagemin; i <= iagemax+3; i++){ for(jk=1,posprop=0; jk <=nlstate ; jk++) { - posprop += prop[jk][i]; + posprop += prop[jk][i]; } for(jk=1; jk <=nlstate ; jk++){ - if( i <= iagemax){ - if(posprop>=1.e-5){ - probs[i][jk][j1]= prop[jk][i]/posprop; - } else{ - if(first==1){ - first=0; - printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]); - } - } - } + if( i <= iagemax){ + if(posprop>=1.e-5){ + probs[i][jk][j1]= prop[jk][i]/posprop; + } 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]); + } + } + } }/* end jk */ }/* end i */ - /*} *//* end i1 */ + /*} *//* end i1 */ } /* end j1 */ /* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/ @@ -4044,12 +4423,12 @@ void concatwav(int wav[], int **dh, int mw[mi][i] is the mi (mi=1 to wav[i]) effective wave of individual i dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] and mw[mi+1][i]. dh depends on stepm. - */ + */ - int i, mi, m; + int i=0, mi=0, m=0, mli=0; /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1; double sum=0., jmean=0.;*/ - int first, firstwo, firsthree, firstfour; + int first=0, firstwo=0, firsthree=0, firstfour=0, firstfiv=0; int j, k=0,jk, ju, jl; double sum=0.; first=0; @@ -4059,54 +4438,82 @@ void concatwav(int wav[], int **dh, int jmin=100000; jmax=-1; jmean=0.; + +/* Treating live states */ for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ - mi=0; + mi=0; /* First valid wave */ + mli=0; /* Last valid wave */ m=firstpass; while(s[m][i] <= nlstate){ /* a live state */ - if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */ + if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */ + mli=m-1;/* mw[++mi][i]=m-1; */ + }else if(s[m][i]>=1 || s[m][i]==-4 || s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */ mw[++mi][i]=m; + mli=m; + } /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */ + if(m < lastpass){ /* m < lastpass, standard case */ + m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */ } - if(m >=lastpass){ + else{ /* m >= lastpass, eventual special issue with warning */ +#ifdef UNKNOWNSTATUSNOTCONTRIBUTING + break; +#else if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ if(firsthree == 0){ - printf("Information! Unknown health 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.\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 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); 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.\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 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); mw[++mi][i]=m; + mli=m; } if(s[m][i]==-2){ /* Vital status is really unknown */ nbwarn++; if((int)anint[m][i] == 9999){ /* Has the vital status really been verified? */ printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); - fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); + fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m); } break; } break; - } - else - m++; +#endif + }/* End m >= lastpass */ }/* end while */ - + + /* mi is the last effective wave, m is lastpass, mw[j][i] gives the # of j-th effective wave for individual i */ /* After last pass */ +/* Treating death states */ if (s[m][i] > nlstate){ /* In a death state */ + /* if( mint[m][i]==mdc[m][i] && anint[m][i]==andc[m][i]){ /\* same date of death and date of interview *\/ */ + /* } */ mi++; /* Death is another wave */ /* if(mi==0) never been interviewed correctly before death */ - /* Only death is a correct wave */ + /* Only death is a correct wave */ mw[mi][i]=m; - }else if ((int) andc[i] != 9999) { /* Status is either death or negative. A death occured after lastpass, we can't take it into account because of potential bias */ + } +#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; */ - nberr++; if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ - if(firstwo==0){ - printf("Error! Death for individual %ld line=%d occurred %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 ); - firstwo=1; + 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++; + if(firstfiv==0){ + printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing 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], s[m][i], i,m ); + firstfiv=1; + }else{ + fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m ); + } + }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 ); + 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 %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 ); }else{ /* end date of interview is known */ /* death is known but not confirmed by death status at any wave */ if(firstfour==0){ @@ -4115,8 +4522,10 @@ void concatwav(int wav[], int **dh, int } fprintf(ficlog,"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.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); } - } - wav[i]=mi; + } /* end if date of death is known */ +#endif + wav[i]=mi; /* mi should be the last effective wave (or mli) */ + /* wav[i]=mw[mi][i]; */ if(mi==0){ nbwarn++; if(first==0){ @@ -4129,7 +4538,7 @@ void concatwav(int wav[], int **dh, int } /* end mi==0 */ } /* End individuals */ /* wav and mw are no more changed */ - + for(i=1; i<=imx; i++){ for(mi=1; mi= jmax) { jmax=j; @@ -4219,16 +4628,16 @@ void concatwav(int wav[], int **dh, int jmean=sum/k; printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean); fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %d) Max=%d (%d) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean); - } +} /*********** Tricode ****************************/ -void tricode(int *Tvar, int **nbcode, int imx, int *Ndum) + 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 2 (V2) - * nbcode[Tvar[j]][1]= + * 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; @@ -4237,81 +4646,98 @@ void tricode(int *Tvar, int **nbcode, in int modmincovj=0; /* Modality min of covariates j */ - cptcoveff=0; + /* cptcoveff=0; */ + /* *cptcov=0; */ for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ - /* Loop on covariates without age and products */ - for (j=1; j<=(cptcovs); j++) { /* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only */ - for (k=-1; k < maxncov; k++) Ndum[k]=0; - 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[j]][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 is 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", j, Tvar[j], modmincovj, modmaxcovj); - fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], 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 (k=modmincovj; k<=modmaxcovj; k++) { /* k=-1 ? 0 and 1*//* For each value k of the modality of model-cov j */ - printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); - fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]); - if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */ - if( k != -1){ - ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th - covariate for which somebody answered excluding - undefined. Usually 2: 0 and 1. */ + /* Loop on covariates without age and products and no quantitative variable */ + /* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ + for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ + for (j=-1; (j < maxncov); j++) Ndum[j]=0; + if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ + switch(Fixed[k]) { + case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ + for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ + ij=(int)(covar[Tvar[k]][i]); + /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i + * If product of Vn*Vm, still boolean *: + * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables + * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ + /* Finds for covariate j, n=Tvar[j] of Vn . ij is the + modality of the nth covariate of individual i. */ + if (ij > modmaxcovj) + modmaxcovj=ij; + else if (ij < modmincovj) + modmincovj=ij; + if ((ij < -1) && (ij > NCOVMAX)){ + printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); + exit(1); + }else + Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ + /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ + /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ + /* getting the maximum value of the modality of the covariate + (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and + female ies 1, then modmaxcovj=1. + */ + } /* end for loop on individuals i */ + printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); + fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); + cptcode=modmaxcovj; + /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ + /*for (i=0; i<=cptcode; i++) {*/ + for (j=modmincovj; j<=modmaxcovj; j++) { /* j=-1 ? 0 and 1*//* For each value j of the modality of model-cov k */ + printf("Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); + fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); + if( Ndum[j] != 0 ){ /* Counts if nobody answered modality j ie empty modality, we skip it and reorder */ + if( j != -1){ + ncodemax[k]++; /* ncodemax[k]= Number of modalities of the k th + covariate for which somebody answered excluding + undefined. Usually 2: 0 and 1. */ + } + ncodemaxwundef[k]++; /* ncodemax[j]= Number of modalities of the k th + covariate for which somebody answered including + undefined. Usually 3: -1, 0 and 1. */ + } /* In fact ncodemax[k]=2 (dichotom. variables only) but it could be more for + * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ + } /* Ndum[-1] number of undefined modalities */ + + /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ + /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. */ + /* If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; */ + /* modmincovj=3; modmaxcovj = 7; */ + /* There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; */ + /* which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; */ + /* defining two dummy variables: variables V1_1 and V1_2.*/ + /* nbcode[Tvar[j]][ij]=k; */ + /* nbcode[Tvar[j]][1]=0; */ + /* nbcode[Tvar[j]][2]=1; */ + /* nbcode[Tvar[j]][3]=2; */ + /* To be continued (not working yet). */ + ij=0; /* ij is similar to i but can jump over null modalities */ + for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ + if (Ndum[i] == 0) { /* If nobody responded to this modality k */ + break; + } + ij++; + nbcode[Tvar[k]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1*/ + cptcode = ij; /* New max modality for covar j */ + } /* end of loop on modality i=-1 to 1 or more */ + break; + case 1: /* Testing on varying covariate, could be simple and + * should look at waves or product of fixed * + * varying. No time to test -1, assuming 0 and 1 only */ + ij=0; + for(i=0; i<=1;i++){ + nbcode[Tvar[k]][++ij]=i; } - ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th - covariate for which somebody answered including - undefined. Usually 3: -1, 0 and 1. */ - } - /* In fact ncodemax[j]=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[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/ - cptcode = ij; /* New max modality for covar j */ - } /* end of loop on modality i=-1 to 1 or more */ - + 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 */ @@ -4327,28 +4753,51 @@ void tricode(int *Tvar, int **nbcode, in /* } /\* 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; - + 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 might be -1 if status was unknown */ - Ndum[ij]++; /* Might be supersed V1 + V1*age */ - } - - 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) */ - /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ - if((Ndum[i]!=0) && (i<=ncovcol)){ - ij++; - /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ - Tvaraff[ij]=i; /*For printing (unclear) */ - }else{ - /* Tvaraff[ij]=0; */ - } - } - /* ij--; */ - cptcoveff=ij; /*Number of total covariates*/ - + /* 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 */ + ; } @@ -4466,7 +4915,7 @@ void cvevsij(double ***eij, double x[], { /* Covariances of health expectancies eij and of total life expectancies according - to initial status i, ei. . + to initial status i, ei. . */ int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji; int nhstepma, nstepma; /* Decreasing with age */ @@ -4572,47 +5021,47 @@ void cvevsij(double ***eij, double x[], decrease memory allocation */ for(theta=1; theta <=npar; theta++){ for(i=1; i<=npar; i++){ - xp[i] = x[i] + (i==theta ?delti[theta]:0); - xm[i] = x[i] - (i==theta ?delti[theta]:0); + 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); for(j=1; j<= nlstate; j++){ - for(i=1; i<=nlstate; i++){ - for(h=0; h<=nhstepm-1; h++){ - gp[h][(j-1)*nlstate + i] = (p3matp[i][j][h]+p3matp[i][j][h+1])/2.; - gm[h][(j-1)*nlstate + i] = (p3matm[i][j][h]+p3matm[i][j][h+1])/2.; - } - } + for(i=1; i<=nlstate; i++){ + for(h=0; h<=nhstepm-1; h++){ + gp[h][(j-1)*nlstate + i] = (p3matp[i][j][h]+p3matp[i][j][h+1])/2.; + gm[h][(j-1)*nlstate + i] = (p3matm[i][j][h]+p3matm[i][j][h+1])/2.; + } + } } for(ij=1; ij<= nlstate*nlstate; ij++) - for(h=0; h<=nhstepm-1; h++){ - gradg[h][theta][ij]= (gp[h][ij]-gm[h][ij])/2./delti[theta]; - } + for(h=0; h<=nhstepm-1; h++){ + gradg[h][theta][ij]= (gp[h][ij]-gm[h][ij])/2./delti[theta]; + } }/* End theta */ for(h=0; h<=nhstepm-1; h++) for(j=1; j<=nlstate*nlstate;j++) - for(theta=1; theta <=npar; theta++) - trgradg[h][j][theta]=gradg[h][theta][j]; + for(theta=1; theta <=npar; theta++) + trgradg[h][j][theta]=gradg[h][theta][j]; - for(ij=1;ij<=nlstate*nlstate;ij++) + for(ij=1;ij<=nlstate*nlstate;ij++) for(ji=1;ji<=nlstate*nlstate;ji++) - varhe[ij][ji][(int)age] =0.; + varhe[ij][ji][(int)age] =0.; - printf("%d|",(int)age);fflush(stdout); - fprintf(ficlog,"%d|",(int)age);fflush(ficlog); - for(h=0;h<=nhstepm-1;h++){ + printf("%d|",(int)age);fflush(stdout); + fprintf(ficlog,"%d|",(int)age);fflush(ficlog); + for(h=0;h<=nhstepm-1;h++){ for(k=0;k<=nhstepm-1;k++){ - matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,nlstate*nlstate,1,npar,1,nlstate*nlstate,gradg[k]); - for(ij=1;ij<=nlstate*nlstate;ij++) - for(ji=1;ji<=nlstate*nlstate;ji++) - varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf; + matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,nlstate*nlstate,1,npar,1,nlstate*nlstate,gradg[k]); + for(ij=1;ij<=nlstate*nlstate;ij++) + for(ji=1;ji<=nlstate*nlstate;ji++) + varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf; } } @@ -4620,22 +5069,22 @@ void cvevsij(double ***eij, double x[], hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij); 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++){ - eij[i][j][(int)age] += (p3matm[i][j][h]+p3matm[i][j][h+1])/2.0*hf; + for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){ + eij[i][j][(int)age] += (p3matm[i][j][h]+p3matm[i][j][h+1])/2.0*hf; - /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/ + /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/ - } + } fprintf(ficresstdeij,"%3.0f",age ); for(i=1; i<=nlstate;i++){ eip=0.; vip=0.; for(j=1; j<=nlstate;j++){ - eip += eij[i][j][(int)age]; - for(k=1; k<=nlstate;k++) /* Sum on j and k of cov(eij,eik) */ - vip += varhe[(j-1)*nlstate+i][(k-1)*nlstate+i][(int)age]; - fprintf(ficresstdeij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[(j-1)*nlstate+i][(j-1)*nlstate+i][(int)age]) ); + eip += eij[i][j][(int)age]; + for(k=1; k<=nlstate;k++) /* Sum on j and k of cov(eij,eik) */ + vip += varhe[(j-1)*nlstate+i][(k-1)*nlstate+i][(int)age]; + fprintf(ficresstdeij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[(j-1)*nlstate+i][(j-1)*nlstate+i][(int)age]) ); } fprintf(ficresstdeij," %9.4f (%.4f)", eip, sqrt(vip)); } @@ -4644,13 +5093,13 @@ void cvevsij(double ***eij, double x[], fprintf(ficrescveij,"%3.0f",age ); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++){ - cptj= (j-1)*nlstate+i; - for(i2=1; i2<=nlstate;i2++) - for(j2=1; j2<=nlstate;j2++){ - cptj2= (j2-1)*nlstate+i2; - if(cptj2 <= cptj) - fprintf(ficrescveij," %.4f", varhe[cptj][cptj2][(int)age]); - } + cptj= (j-1)*nlstate+i; + for(i2=1; i2<=nlstate;i2++) + for(j2=1; j2<=nlstate;j2++){ + cptj2= (j2-1)*nlstate+i2; + if(cptj2 <= cptj) + fprintf(ficrescveij," %.4f", varhe[cptj][cptj2][(int)age]); + } } fprintf(ficrescveij,"\n"); @@ -5107,86 +5556,86 @@ void cvevsij(double ***eij, double x[], /************ Variance of one-step probabilities ******************/ void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax, char strstart[]) -{ - int i, j=0, k1, l1, tj; - int k2, l2, j1, z1; - int k=0, l; - int first=1, first1, first2; - double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; - double **dnewm,**doldm; - double *xp; - double *gp, *gm; - double **gradg, **trgradg; - double **mu; - double age, cov[NCOVMAX+1]; - double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */ - int theta; - char fileresprob[FILENAMELENGTH]; - char fileresprobcov[FILENAMELENGTH]; - char fileresprobcor[FILENAMELENGTH]; - double ***varpij; - - strcpy(fileresprob,"PROB_"); - strcat(fileresprob,fileres); - if((ficresprob=fopen(fileresprob,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprob); - fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob); - } - strcpy(fileresprobcov,"PROBCOV_"); - strcat(fileresprobcov,fileresu); - if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprobcov); - fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov); - } - strcpy(fileresprobcor,"PROBCOR_"); - strcat(fileresprobcor,fileresu); - if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprobcor); - fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor); - } - printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); - fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); - printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); - fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); - printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor); - fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor); - pstamp(ficresprob); - fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n"); - fprintf(ficresprob,"# Age"); - pstamp(ficresprobcov); - fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n"); - fprintf(ficresprobcov,"# Age"); - pstamp(ficresprobcor); - fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n"); - fprintf(ficresprobcor,"# Age"); - + { + int i, j=0, k1, l1, tj; + int k2, l2, j1, z1; + int k=0, l; + int first=1, first1, first2; + double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp; + double **dnewm,**doldm; + double *xp; + double *gp, *gm; + double **gradg, **trgradg; + double **mu; + double age, cov[NCOVMAX+1]; + double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */ + int theta; + char fileresprob[FILENAMELENGTH]; + char fileresprobcov[FILENAMELENGTH]; + char fileresprobcor[FILENAMELENGTH]; + double ***varpij; + + strcpy(fileresprob,"PROB_"); + strcat(fileresprob,fileres); + if((ficresprob=fopen(fileresprob,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprob); + fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob); + } + strcpy(fileresprobcov,"PROBCOV_"); + strcat(fileresprobcov,fileresu); + if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprobcov); + fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov); + } + strcpy(fileresprobcor,"PROBCOR_"); + strcat(fileresprobcor,fileresu); + if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprobcor); + fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor); + } + printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); + fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); + printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); + fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov); + printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor); + fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor); + pstamp(ficresprob); + fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n"); + fprintf(ficresprob,"# Age"); + pstamp(ficresprobcov); + fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n"); + fprintf(ficresprobcov,"# Age"); + pstamp(ficresprobcor); + fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n"); + fprintf(ficresprobcor,"# Age"); - for(i=1; i<=nlstate;i++) - for(j=1; j<=(nlstate+ndeath);j++){ - fprintf(ficresprob," p%1d-%1d (SE)",i,j); - fprintf(ficresprobcov," p%1d-%1d ",i,j); - fprintf(ficresprobcor," p%1d-%1d ",i,j); - } - /* fprintf(ficresprob,"\n"); - fprintf(ficresprobcov,"\n"); - fprintf(ficresprobcor,"\n"); - */ - xp=vector(1,npar); - dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); - doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); - mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage); - varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage); - first=1; - fprintf(ficgp,"\n# Routine varprob"); - 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(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 \ + for(i=1; i<=nlstate;i++) + for(j=1; j<=(nlstate+ndeath);j++){ + fprintf(ficresprob," p%1d-%1d (SE)",i,j); + fprintf(ficresprobcov," p%1d-%1d ",i,j); + fprintf(ficresprobcor," p%1d-%1d ",i,j); + } + /* fprintf(ficresprob,"\n"); + fprintf(ficresprobcov,"\n"); + fprintf(ficresprobcor,"\n"); + */ + xp=vector(1,npar); + dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); + doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); + mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage); + varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage); + first=1; + fprintf(ficgp,"\n# Routine varprob"); + 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(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.\ They are expressed in year-1 in order to be less dependent of stepm.
    \n"); - fprintf(fichtmcov,"\n
    Contour plot corresponding to x'cov-1x = 4 (where x is the column vector (pij,pkl)) are drawn. \ + fprintf(fichtmcov,"\n
    Contour plot corresponding to x'cov-1x = 4 (where x is the column vector (pij,pkl)) are drawn. \ It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance \ would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 \ standard deviations wide on each axis.
    \ @@ -5194,251 +5643,252 @@ standard deviations wide on each axis. < and made the appropriate rotation to look at the uncorrelated principal directions.
    \ To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.
    \n"); - cov[1]=1; - /* tj=cptcoveff; */ - tj = (int) pow(2,cptcoveff); - if (cptcovn<1) {tj=1;ncodemax[1]=1;} - j1=0; - for(j1=1; j1<=tj;j1++){ - /*for(i1=1; i1<=ncodemax[t];i1++){ */ - /*j1++;*/ - if (cptcovn>0) { - fprintf(ficresprob, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresprob, "**********\n#\n"); - fprintf(ficresprobcov, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresprobcov, "**********\n#\n"); - - fprintf(ficgp, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficgp, "**********\n#\n"); - - - fprintf(fichtmcov, "\n
    ********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(fichtmcov, "**********\n
    "); - - fprintf(ficresprobcor, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresprobcor, "**********\n#"); - } - - gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath)); - trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); - gp=vector(1,(nlstate)*(nlstate+ndeath)); - gm=vector(1,(nlstate)*(nlstate+ndeath)); - for (age=bage; age<=fage; age ++){ - cov[2]=age; - if(nagesqr==1) - cov[3]= age*age; - for (k=1; k<=cptcovn;k++) { - cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; - /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 - * 1 1 1 1 1 - * 2 2 1 1 1 - * 3 1 2 1 1 - */ - /* nbcode[1][1]=0 nbcode[1][2]=1;*/ - } - /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; - for (k=1; k<=cptcovprod;k++) - cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; - - - for(theta=1; theta <=npar; theta++){ - for(i=1; i<=npar; i++) - xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); - - pmij(pmmij,cov,ncovmodel,xp,nlstate); - - k=0; - for(i=1; i<= (nlstate); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - gp[k]=pmmij[i][j]; - } - } - - for(i=1; i<=npar; i++) - xp[i] = x[i] - (i==theta ?delti[theta]:(double)0); - - pmij(pmmij,cov,ncovmodel,xp,nlstate); - k=0; - for(i=1; i<=(nlstate); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - gm[k]=pmmij[i][j]; - } - } - - for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) - gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta]; - } - - for(j=1; j<=(nlstate)*(nlstate+ndeath);j++) - for(theta=1; theta <=npar; theta++) - trgradg[j][theta]=gradg[theta][j]; - - matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg); - - pmij(pmmij,cov,ncovmodel,x,nlstate); - - k=0; - for(i=1; i<=(nlstate); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - mu[k][(int) age]=pmmij[i][j]; - } - } - for(i=1;i<=(nlstate)*(nlstate+ndeath);i++) - for(j=1;j<=(nlstate)*(nlstate+ndeath);j++) - varpij[i][j][(int)age] = doldm[i][j]; - - /*printf("\n%d ",(int)age); - for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ - printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); - fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); - }*/ - - fprintf(ficresprob,"\n%d ",(int)age); - fprintf(ficresprobcov,"\n%d ",(int)age); - fprintf(ficresprobcor,"\n%d ",(int)age); - - for (i=1; i<=(nlstate)*(nlstate+ndeath);i++) - fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age])); - for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ - fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]); - fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]); - } - i=0; - for (k=1; k<=(nlstate);k++){ - for (l=1; l<=(nlstate+ndeath);l++){ - i++; - fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l); - fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l); - for (j=1; j<=i;j++){ - /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */ - fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]); - fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age])); - } - } - }/* end of loop for state */ - } /* end of loop for age */ - free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); - free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); - free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); - free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); - - /* Confidence intervalle of pij */ - /* - fprintf(ficgp,"\nunset parametric;unset label"); - fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\""); - fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); - fprintf(fichtm,"\n
    Probability with confidence intervals expressed in year-1 :pijgr%s.png, ",optionfilefiname,optionfilefiname); - fprintf(fichtm,"\n
    ",optionfilefiname); - fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname); - fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob); - */ - - /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/ - first1=1;first2=2; - for (k2=1; k2<=(nlstate);k2++){ - for (l2=1; l2<=(nlstate+ndeath);l2++){ - if(l2==k2) continue; - j=(k2-1)*(nlstate+ndeath)+l2; - for (k1=1; k1<=(nlstate);k1++){ - for (l1=1; l1<=(nlstate+ndeath);l1++){ - if(l1==k1) continue; - i=(k1-1)*(nlstate+ndeath)+l1; - if(i<=j) continue; - for (age=bage; age<=fage; age ++){ - if ((int)age %5==0){ - v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM; - v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM; - cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM; - mu1=mu[i][(int) age]/stepm*YEARM ; - mu2=mu[j][(int) age]/stepm*YEARM; - c12=cv12/sqrt(v1*v2); - /* Computing eigen value of matrix of covariance */ - lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; - lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; - if ((lc2 <0) || (lc1 <0) ){ - if(first2==1){ - first1=0; - printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor); - } - fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog); - /* lc1=fabs(lc1); */ /* If we want to have them positive */ - /* lc2=fabs(lc2); */ - } + cov[1]=1; + /* tj=cptcoveff; */ + tj = (int) pow(2,cptcoveff); + if (cptcovn<1) {tj=1;ncodemax[1]=1;} + j1=0; + for(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/ + if (cptcovn>0) { + fprintf(ficresprob, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresprob, "**********\n#\n"); + fprintf(ficresprobcov, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresprobcov, "**********\n#\n"); + + fprintf(ficgp, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficgp, "**********\n#\n"); + + + fprintf(fichtmcov, "\n
    ********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(fichtmcov, "**********\n
    "); + + fprintf(ficresprobcor, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresprobcor, "**********\n#"); + if(invalidvarcomb[j1]){ + fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1); + fprintf(fichtmcov,"\n

    Combination (%d) ignored because no cases

    \n",j1); + continue; + } + } + gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath)); + trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar); + gp=vector(1,(nlstate)*(nlstate+ndeath)); + gm=vector(1,(nlstate)*(nlstate+ndeath)); + for (age=bage; age<=fage; age ++){ + cov[2]=age; + if(nagesqr==1) + cov[3]= age*age; + for (k=1; k<=cptcovn;k++) { + cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; + /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4 + * 1 1 1 1 1 + * 2 2 1 1 1 + * 3 1 2 1 1 + */ + /* nbcode[1][1]=0 nbcode[1][2]=1;*/ + } + /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ + for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; + for (k=1; k<=cptcovprod;k++) + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; + + + for(theta=1; theta <=npar; theta++){ + for(i=1; i<=npar; i++) + xp[i] = x[i] + (i==theta ?delti[theta]:(double)0); + + pmij(pmmij,cov,ncovmodel,xp,nlstate); + + k=0; + for(i=1; i<= (nlstate); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + gp[k]=pmmij[i][j]; + } + } + + for(i=1; i<=npar; i++) + xp[i] = x[i] - (i==theta ?delti[theta]:(double)0); + + pmij(pmmij,cov,ncovmodel,xp,nlstate); + k=0; + for(i=1; i<=(nlstate); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + gm[k]=pmmij[i][j]; + } + } + + for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) + gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta]; + } - /* Eigen vectors */ - v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12)); - /*v21=sqrt(1.-v11*v11); *//* error */ - v21=(lc1-v1)/cv12*v11; - v12=-v21; - v22=v11; - tnalp=v21/v11; - if(first1==1){ - first1=0; - printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); - } - fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); - /*printf(fignu*/ - /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */ - /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */ - if(first==1){ - first=0; - fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n"); - 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\ - :\ + for(j=1; j<=(nlstate)*(nlstate+ndeath);j++) + for(theta=1; theta <=npar; theta++) + trgradg[j][theta]=gradg[theta][j]; + + matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg); + + pmij(pmmij,cov,ncovmodel,x,nlstate); + + k=0; + for(i=1; i<=(nlstate); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + mu[k][(int) age]=pmmij[i][j]; + } + } + for(i=1;i<=(nlstate)*(nlstate+ndeath);i++) + for(j=1;j<=(nlstate)*(nlstate+ndeath);j++) + varpij[i][j][(int)age] = doldm[i][j]; + + /*printf("\n%d ",(int)age); + for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ + printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); + fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); + }*/ + + fprintf(ficresprob,"\n%d ",(int)age); + fprintf(ficresprobcov,"\n%d ",(int)age); + fprintf(ficresprobcor,"\n%d ",(int)age); + + for (i=1; i<=(nlstate)*(nlstate+ndeath);i++) + fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age])); + for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){ + fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]); + fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]); + } + i=0; + for (k=1; k<=(nlstate);k++){ + for (l=1; l<=(nlstate+ndeath);l++){ + i++; + fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l); + fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l); + for (j=1; j<=i;j++){ + /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */ + fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]); + fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age])); + } + } + }/* end of loop for state */ + } /* end of loop for age */ + free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); + free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); + free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); + free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); + + /* Confidence intervalle of pij */ + /* + fprintf(ficgp,"\nunset parametric;unset label"); + fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\""); + fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65"); + fprintf(fichtm,"\n
    Probability with confidence intervals expressed in year-1 :    pijgr%s.png, ",optionfilefiname,optionfilefiname); + fprintf(fichtm,"\n
    ",optionfilefiname); + fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname); + fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob); + */ + + /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/ + first1=1;first2=2; + for (k2=1; k2<=(nlstate);k2++){ + for (l2=1; l2<=(nlstate+ndeath);l2++){ + if(l2==k2) continue; + j=(k2-1)*(nlstate+ndeath)+l2; + for (k1=1; k1<=(nlstate);k1++){ + for (l1=1; l1<=(nlstate+ndeath);l1++){ + if(l1==k1) continue; + i=(k1-1)*(nlstate+ndeath)+l1; + if(i<=j) continue; + for (age=bage; age<=fage; age ++){ + if ((int)age %5==0){ + v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM; + v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM; + cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM; + mu1=mu[i][(int) age]/stepm*YEARM ; + mu2=mu[j][(int) age]/stepm*YEARM; + c12=cv12/sqrt(v1*v2); + /* Computing eigen value of matrix of covariance */ + lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; + lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.; + if ((lc2 <0) || (lc1 <0) ){ + if(first2==1){ + first1=0; + printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor); + } + fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog); + /* lc1=fabs(lc1); */ /* If we want to have them positive */ + /* lc2=fabs(lc2); */ + } + + /* Eigen vectors */ + v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12)); + /*v21=sqrt(1.-v11*v11); *//* error */ + v21=(lc1-v1)/cv12*v11; + v12=-v21; + v22=v11; + tnalp=v21/v11; + if(first1==1){ + first1=0; + printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); + } + fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp); + /*printf(fignu*/ + /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */ + /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */ + if(first==1){ + first=0; + fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n"); + 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\ + : \ %s_%d%1d%1d-%1d%1d.svg, ",k1,l1,k2,l2,\ - subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2,\ - subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); - fprintf(fichtmcov,"\n
    ",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); - fprintf(fichtmcov,"\n
    Correlation at age %d (%.3f),",(int) age, c12); - fprintf(ficgp,"\nset out \"%s_%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); - 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)); - }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)); - }/* if first */ - } /* age mod 5 */ - } /* end loop age */ - fprintf(ficgp,"\nset out;\nset out \"%s_%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); - first=1; - } /*l12 */ - } /* k12 */ - } /*l1 */ - }/* k1 */ - /* } */ /* loop covariates */ - } - free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); - free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); - free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); - free_matrix(dnewm,1,(nlstate)*(nlstate+ndeath),1,npar); - free_vector(xp,1,npar); - fclose(ficresprob); - fclose(ficresprobcov); - fclose(ficresprobcor); - fflush(ficgp); - fflush(fichtmcov); -} + subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2, \ + subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + fprintf(fichtmcov,"\n
    ",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + fprintf(fichtmcov,"\n
    Correlation at age %d (%.3f),",(int) age, c12); + fprintf(ficgp,"\nset out \"%s_%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + 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)); + }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)); + }/* if first */ + } /* age mod 5 */ + } /* end loop age */ + fprintf(ficgp,"\nset out;\nset out \"%s_%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2); + first=1; + } /*l12 */ + } /* k12 */ + } /*l1 */ + }/* k1 */ + } /* loop on combination of covariates j1 */ + free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage); + free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage); + free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath)); + free_matrix(dnewm,1,(nlstate)*(nlstate+ndeath),1,npar); + free_vector(xp,1,npar); + fclose(ficresprob); + fclose(ficresprobcov); + fclose(ficresprobcor); + fflush(ficgp); + fflush(fichtmcov); + } /******************* Printing html file ***********/ @@ -5481,14 +5931,15 @@ void printinghtml(char fileresu[], char %s
    \n", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_")); } -fprintf(fichtm," \n
    • Graphs

      • "); + fprintf(fichtm," \n

      • Graphs

        • "); + + m=pow(2,cptcoveff); + if (cptcovn < 1) {m=1;ncodemax[1]=1;} - m=pow(2,cptcoveff); - if (cptcovn < 1) {m=1;ncodemax[1]=1;} + jj1=0; + for(k1=1; k1<=m;k1++){ - jj1=0; - for(k1=1; k1<=m;k1++){ - /* for(i1=1; i1<=ncodemax[k1];i1++){ */ + /* for(i1=1; i1<=ncodemax[k1];i1++){ */ jj1++; if (cptcovn > 0) { fprintf(fichtm,"

        ************ Results for covariates"); @@ -5496,7 +5947,13 @@ fprintf(fichtm," \n
        • Graphs 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); } + /* if(nqfveff+nqtveff 0) */ /* Test to be done */ fprintf(fichtm," ************\n
          "); + if(invalidvarcomb[k1]){ + fprintf(fichtm,"\n

          Combination (%d) ignored because no cases

          \n",k1); + printf("\nCombination (%d) ignored because no cases \n",k1); + continue; + } } /* 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
          \ @@ -5506,7 +5963,7 @@ fprintf(fichtm," \n
          • Graphs ",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); /* 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,\ + 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); @@ -5518,7 +5975,7 @@ divided by h: hPij /* 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.\ + 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); } /* Period (stable) prevalence in each health state */ @@ -5526,30 +5983,30 @@ divided by h: hPij 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); } - 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
            \ + 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); + } } - } - 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
            \ + 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); - } - } - + } + } + 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); } - /* } /\* end i1 *\/ */ - }/* End k1 */ - fprintf(fichtm,"
          "); + /* } /\* end i1 *\/ */ + }/* End k1 */ + fprintf(fichtm,"
        "); - fprintf(fichtm,"\ + fprintf(fichtm,"\ \n

      • Result files (second order: variances)

        \n\ - Parameter file with estimated parameters and covariance matrix: %s
        \ - 95%% confidence intervals and Wald tests of the estimated parameters are in the log file if optimization has been done (mle != 0).
        \ @@ -5561,32 +6018,32 @@ variances but at the covariance matrix. covariance matrix of the one-step probabilities. \ See page 'Matrix of variance-covariance of one-step probabilities' below. \n", rfileres,rfileres); - fprintf(fichtm," - Standard deviation of one-step probabilities: %s
        \n", - subdirf2(fileresu,"PROB_"),subdirf2(fileresu,"PROB_")); - fprintf(fichtm,"\ + fprintf(fichtm," - Standard deviation of one-step probabilities: %s
        \n", + subdirf2(fileresu,"PROB_"),subdirf2(fileresu,"PROB_")); + fprintf(fichtm,"\ - Variance-covariance of one-step probabilities: %s
        \n", - subdirf2(fileresu,"PROBCOV_"),subdirf2(fileresu,"PROBCOV_")); + subdirf2(fileresu,"PROBCOV_"),subdirf2(fileresu,"PROBCOV_")); - fprintf(fichtm,"\ + fprintf(fichtm,"\ - Correlation matrix of one-step probabilities: %s
        \n", - subdirf2(fileresu,"PROBCOR_"),subdirf2(fileresu,"PROBCOR_")); - fprintf(fichtm,"\ + subdirf2(fileresu,"PROBCOR_"),subdirf2(fileresu,"PROBCOR_")); + fprintf(fichtm,"\ - Variances and covariances of health expectancies by age and initial health status (cov(eij,ekl)(estepm=%2d months): \ %s
        \n
        • ", estepm,subdirf2(fileresu,"CVE_"),subdirf2(fileresu,"CVE_")); - fprintf(fichtm,"\ + fprintf(fichtm,"\ - (a) Health expectancies by health status at initial age (eij) and standard errors (in parentheses) (b) life expectancies and standard errors (ei.=ei1+ei2+...)(estepm=%2d months): \ %s
        \n", estepm,subdirf2(fileresu,"STDE_"),subdirf2(fileresu,"STDE_")); - fprintf(fichtm,"\ + fprintf(fichtm,"\ - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), eij are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): %s
        \n", - estepm, subdirf2(fileresu,"V_"),subdirf2(fileresu,"V_")); - fprintf(fichtm,"\ + estepm, subdirf2(fileresu,"V_"),subdirf2(fileresu,"V_")); + fprintf(fichtm,"\ - Total life expectancy and total health expectancies to be spent in each health state e.j with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): %s
        \n", - estepm, subdirf2(fileresu,"T_"),subdirf2(fileresu,"T_")); - fprintf(fichtm,"\ + estepm, subdirf2(fileresu,"T_"),subdirf2(fileresu,"T_")); + fprintf(fichtm,"\ - Standard deviation of period (stable) prevalences: %s
        \n",\ - subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_")); + subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_")); /* if(popforecast==1) fprintf(fichtm,"\n */ /* - Prevalences forecasting: f%s
        \n */ @@ -5594,21 +6051,26 @@ See page 'Matrix of variance-covariance /*
        ",fileres,fileres,fileres,fileres); */ /* else */ /* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)

        \n",popforecast, stepm, model); */ - fflush(fichtm); - fprintf(fichtm,"
        • Graphs

          • "); + fflush(fichtm); + fprintf(fichtm,"

          • Graphs

            • "); - m=pow(2,cptcoveff); - if (cptcovn < 1) {m=1;ncodemax[1]=1;} + m=pow(2,cptcoveff); + if (cptcovn < 1) {m=1;ncodemax[1]=1;} - jj1=0; - for(k1=1; k1<=m;k1++){ - /* for(i1=1; i1<=ncodemax[k1];i1++){ */ + jj1=0; + for(k1=1; k1<=m;k1++){ + /* for(i1=1; i1<=ncodemax[k1];i1++){ */ jj1++; if (cptcovn > 0) { fprintf(fichtm,"

            ************ Results for covariates"); - for (cpt=1; cpt<=cptcoveff;cpt++) + 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," ************\n
            "); + + if(invalidvarcomb[k1]){ + fprintf(fichtm,"\n

            Combination (%d) ignored because no cases

            \n",k1); + continue; + } } for(cpt=1; cpt<=nlstate;cpt++) { fprintf(fichtm,"\n
            - Observed (cross-sectional) and period (incidence based) \ @@ -5621,21 +6083,22 @@ true period expectancies (those weighted 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); - /* } /\* end i1 *\/ */ - }/* End k1 */ - fprintf(fichtm,"
          "); - fflush(fichtm); + /* } /\* end i1 *\/ */ + }/* End k1 */ + 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[]){ char dirfileres[132],optfileres[132]; + char gplotcondition[132]; int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; int lv=0, vlv=0, kl=0; int ng=0; int vpopbased; - int ioffset; /* variable offset for columns */ + int ioffset; /* variable offset for columns */ /* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ /* printf("Problem with file %s",optionfilegnuplot); */ @@ -5644,165 +6107,183 @@ true period expectancies (those weighted /*#ifdef windows */ fprintf(ficgp,"cd \"%s\" \n",pathc); - /*#endif */ + /*#endif */ m=pow(2,cptcoveff); /* Contribution to likelihood */ /* Plot the probability implied in the likelihood */ - fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n"); - fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";"); - /* fprintf(ficgp,"\nset ter svg size 640, 480"); */ /* Too big for svg */ - fprintf(ficgp,"\nset ter pngcairo size 640, 480"); + fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n"); + fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";"); + /* fprintf(ficgp,"\nset ter svg size 640, 480"); */ /* Too big for svg */ + fprintf(ficgp,"\nset ter pngcairo size 640, 480"); /* nice for mle=4 plot by number of matrix products. replot "rrtest1/toto.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with point lc 1 */ /* replot exp(p1+p2*x)/(1+exp(p1+p2*x)+exp(p3+p4*x)+exp(p5+p6*x)) t "p12(x)" */ - /* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */ - fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_")); - fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):6 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk)); - fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_")); - fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):5 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk)); - for (i=1; i<= nlstate ; i ++) { - fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i); - fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk)); - fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1); - for (j=2; j<= nlstate+ndeath ; j ++) { - fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j); - } - fprintf(ficgp,";\nset out; unset ylabel;\n"); - } - /* unset log; plot "rrtest1_sorted_4/ILK_rrtest1_sorted_4.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with points lc variable */ - /* fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):3 t \"All sample, all transitions\" with dots lc variable",subdirf(fileresilk)); */ - /* fprintf(ficgp,"\nreplot \"%s\" u 2:($3 <= 3 ? -$11 : 1/0):3 t \"First 3 individuals\" with line lc variable", subdirf(fileresilk)); */ - fprintf(ficgp,"\nset out;unset log\n"); - /* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */ + /* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */ + fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_")); + fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):6 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk)); + fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_")); + fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):5 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk)); + for (i=1; i<= nlstate ; i ++) { + fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i); + fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk)); + fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1); + for (j=2; j<= nlstate+ndeath ; j ++) { + fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j); + } + fprintf(ficgp,";\nset out; unset ylabel;\n"); + } + /* unset log; plot "rrtest1_sorted_4/ILK_rrtest1_sorted_4.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with points lc variable */ + /* fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):3 t \"All sample, all transitions\" with dots lc variable",subdirf(fileresilk)); */ + /* fprintf(ficgp,"\nreplot \"%s\" u 2:($3 <= 3 ? -$11 : 1/0):3 t \"First 3 individuals\" with line lc variable", subdirf(fileresilk)); */ + fprintf(ficgp,"\nset out;unset log\n"); + /* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */ strcpy(dirfileres,optionfilefiname); strcpy(optfileres,"vpl"); - /* 1eme*/ + /* 1eme*/ for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */ - for (k1=1; k1<= m ; k1 ++) { /* For each combination of covariate */ + 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 ",k,vlv); + 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\ + 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 */ - 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)? $%d : 1/0) t 'Backward prevalence in state %d' with line ",kl+1, k,kl+1+1,nbcode[Tvaraff[k]][lv], \ - 4+(cpt-1), cpt ); - }else{ - fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, k,kl+1+1,nbcode[Tvaraff[k]][lv]); - kl++; - } - } /* end covariate */ - } - fprintf(ficgp,"\nset out \n"); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); + if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ + /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ + fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */ + if(cptcoveff ==0){ + fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ", 2+(cpt-1), cpt ); + }else{ + kl=0; + for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + kl++; + /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ + /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ + /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ + /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ + if(k==cptcoveff){ + fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ + 4+(cpt-1), cpt ); /* 4 or 6 ?*/ + }else{ + fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); + kl++; + } + } /* end covariate */ + } /* end if no covariate */ + } /* end if backcast */ + fprintf(ficgp,"\nset out \n"); } /* 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 ",k,vlv); - } - fprintf(ficgp,"\n#\n"); + + 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 */ + 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+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); + else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); + } /* state */ + } /* vpopbased */ + fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ } /* k1 */ /*3eme*/ for (k1=1; k1<= m ; k1 ++) { + for (cpt=1; cpt<= nlstate ; cpt ++) { fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ - lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ - /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ - /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ - /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ - vlv= nbcode[Tvaraff[k]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); } fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } /* k=2+nlstate*(2*cpt-2); */ k=2+(nlstate+1)*(cpt-1); @@ -5810,24 +6291,26 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u fprintf(ficgp,"set ter svg size 640, 480\n\ plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt); /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%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*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); - for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); - fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); + fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%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);*/ + fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+i,cpt,i+1); + /* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/ } fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt); } } + /* 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 */ @@ -5836,14 +6319,18 @@ plot [%.f:%.f] \"%s\" every :::%d::%d u /* 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 ",k,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,"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\ +set ter svg size 640, 480\n \ +unset log y\n \ plot [%.f:%.f] ", ageminpar, agemaxpar); k=3; for (i=1; i<= nlstate ; i ++){ @@ -5861,10 +6348,12 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"\nset out\n"); } /* end cpt state*/ } /* end covariate */ - + +/* 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 */ @@ -5872,14 +6361,18 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /* 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 ",k,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,"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\ +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 */ @@ -5905,10 +6398,12 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"\nset out\n"); } /* end cpt state*/ } /* end covariate */ - + +/* 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 */ + 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 */ @@ -5916,14 +6411,18 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /* 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 ",k,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,"P_"),cpt,k1); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ -set ter svg size 640, 480\n\ -unset log y\n\ +set ter svg size 640, 480\n \ +unset log y\n \ plot [%.f:%.f] ", ageminpar, agemaxpar); k=3; /* Offset */ for (i=1; i<= nlstate ; i ++){ @@ -5940,6 +6439,9 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"\nset out\n"); } /* end cpt state*/ } /* end covariate */ + + +/* 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 */ @@ -5951,9 +6453,13 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) /* 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 ",k,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,"PB_"),cpt,k1); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ @@ -5981,105 +6487,101 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) } /* end covariate */ } /* End if backcast */ + /* 8eme */ 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 (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ - fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); - for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ - 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 ",k,vlv); - } - fprintf(ficgp,"\n#\n"); - - fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); - fprintf(ficgp,"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 */ - /*# 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){ - fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); - }else{ - fprintf(ficgp,",\\\n '' "); - } - if(cptcoveff ==0){ /* No covariate */ - ioffset=2; /* Age is in 2 */ - /*# 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 */ - /*# 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 ", \ - 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 */ - if(cptcoveff ==1){ - ioffset=4; /* Age is in 4 */ - }else{ - ioffset=6; /* Age is in 6 */ - /*# 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 */ - } - fprintf(ficgp," u %d:((",ioffset); - kl=0; - for (k=1; k<=cptcoveff; k++){ /* For each covariate */ - lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ - /* 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):($5==2000? 3:2) t 'p.1' with line lc variable*/ - if(k==cptcoveff){ - if(i==nlstate+1){ - if(cptcoveff ==1){ - fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ",kl, k,kl+1,nbcode[Tvaraff[k]][lv], \ - ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); - }else{ - fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ",kl, k,kl+1,nbcode[Tvaraff[k]][lv], \ - ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); - } - }else{ - if(cptcoveff ==1){ - fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ",kl, k,kl+1,nbcode[Tvaraff[k]][lv], \ - ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); - }else{ - fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ",kl, k,kl+1,nbcode[Tvaraff[k]][lv], \ - ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); - } - } - }else{ /* k < cptcoveff */ - fprintf(ficgp,"$%d==%d && $%d==%d && ",kl, k,kl+1,nbcode[Tvaraff[k]][lv]); - kl++; - } - } /* end covariate */ - } /* end if covariate */ - } /* nlstate */ - fprintf(ficgp,"\nset out\n"); - } /* end cpt state*/ - } /* end covariate */ - } /* End if prevfcast */ - + 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 */ + /* 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; + } - /* proba elementaires */ - fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); + fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); + fprintf(ficgp,"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 */ + /*# 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){ + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); + }else{ + fprintf(ficgp,",\\\n '' "); + } + if(cptcoveff ==0){ /* No covariate */ + ioffset=2; /* Age is in 2 */ + /*# 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 */ + /*# 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 ", \ + 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 */ + if(cptcoveff ==1){ + ioffset=4; /* Age is in 4 */ + }else{ + ioffset=6; /* Age is in 6 */ + /*# 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 */ + } + fprintf(ficgp," u %d:(",ioffset); + kl=0; + strcpy(gplotcondition,"("); + for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */ + /* 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]; /* Value of the modality of Tvaraff[k] */ + kl++; + sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); + kl++; + if(k 1) + sprintf(gplotcondition+strlen(gplotcondition)," && "); + } + strcpy(gplotcondition+strlen(gplotcondition),")"); + /* 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(i==nlstate+1){ + fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); + }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"); + } /* end cpt state*/ + } /* end covariate */ + } /* End if prevfcast */ + + + /* proba elementaires */ + fprintf(ficgp,"\n##############\n#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++){ @@ -6092,9 +6594,9 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"\n"); } } - } + } fprintf(ficgp,"##############\n#\n"); - + /*goto avoid;*/ fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n"); fprintf(ficgp,"# logi(p12/p11)=a12+b12*age+c12age*age+d12*V1+e12*V1*age\n"); @@ -6110,264 +6612,269 @@ plot [%.f:%.f] ", ageminpar, agemaxpar) fprintf(ficgp,"# +exp(a13+b13*age+c13age*age+d13*V1+e13*V1*age))\n"); 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,"\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 */ - fprintf(ficgp,"\nunset log y"); - }else if (ng==2){ - fprintf(ficgp,"\nset ylabel \"Probability\"\n"); - fprintf(ficgp,"\nset log y"); - }else if (ng==3){ - fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n"); - fprintf(ficgp,"\nset log y"); - }else - fprintf(ficgp,"\nunset title "); - fprintf(ficgp,"\nplot [%.f:%.f] ",ageminpar,agemaxpar); - i=1; - for(k2=1; k2<=nlstate; k2++) { - k3=i; - for(k=1; k<=(nlstate+ndeath); k++) { - if (k != k2){ - switch( ng) { - case 1: - if(nagesqr==0) - fprintf(ficgp," p%d+p%d*x",i,i+1); - else /* nagesqr =1 */ - fprintf(ficgp," p%d+p%d*x+p%d*x*x",i,i+1,i+1+nagesqr); - break; - case 2: /* ng=2 */ - if(nagesqr==0) - fprintf(ficgp," exp(p%d+p%d*x",i,i+1); - else /* nagesqr =1 */ - fprintf(ficgp," exp(p%d+p%d*x+p%d*x*x",i,i+1,i+1+nagesqr); - break; - case 3: - if(nagesqr==0) - fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1); - else /* nagesqr =1 */ - fprintf(ficgp," %f*exp(p%d+p%d*x+p%d*x*x",YEARM/stepm,i,i+1,i+1+nagesqr); - break; - } - ij=1;/* To be checked else nbcode[0][0] wrong */ - for(j=3; j <=ncovmodel-nagesqr; j++) { - /* 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])]); */ - ij++; - } - } - else - fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); - } - }else{ - i=i-ncovmodel; - if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ - fprintf(ficgp," (1."); - } - - if(ng != 1){ - fprintf(ficgp,")/(1"); - - for(k1=1; k1 <=nlstate; k1++){ - if(nagesqr==0) - fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*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); + 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,"\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 */ + fprintf(ficgp,"\nunset log y"); + }else if (ng==2){ + fprintf(ficgp,"\nset ylabel \"Probability\"\n"); + fprintf(ficgp,"\nset log y"); + }else if (ng==3){ + fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n"); + fprintf(ficgp,"\nset log y"); + }else + fprintf(ficgp,"\nunset title "); + fprintf(ficgp,"\nplot [%.f:%.f] ",ageminpar,agemaxpar); + i=1; + for(k2=1; k2<=nlstate; k2++) { + k3=i; + for(k=1; k<=(nlstate+ndeath); k++) { + if (k != k2){ + switch( ng) { + case 1: + if(nagesqr==0) + fprintf(ficgp," p%d+p%d*x",i,i+1); + else /* nagesqr =1 */ + fprintf(ficgp," p%d+p%d*x+p%d*x*x",i,i+1,i+1+nagesqr); + break; + case 2: /* ng=2 */ + if(nagesqr==0) + fprintf(ficgp," exp(p%d+p%d*x",i,i+1); + else /* nagesqr =1 */ + fprintf(ficgp," exp(p%d+p%d*x+p%d*x*x",i,i+1,i+1+nagesqr); + break; + case 3: + if(nagesqr==0) + fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1); + else /* nagesqr =1 */ + fprintf(ficgp," %f*exp(p%d+p%d*x+p%d*x*x",YEARM/stepm,i,i+1,i+1+nagesqr); + break; + } + ij=1;/* To be checked else nbcode[0][0] wrong */ + for(j=3; j <=ncovmodel-nagesqr; j++) { + /* 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])]); */ + ij++; + } + } + else + fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); /* Valgrind bug nbcode */ + } + }else{ + i=i-ncovmodel; + if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ + fprintf(ficgp," (1."); + } + + if(ng != 1){ + fprintf(ficgp,")/(1"); + + for(k1=1; k1 <=nlstate; k1++){ + if(nagesqr==0) + fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*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); - 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])]); */ - ij++; - } - } - else - fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); - } - fprintf(ficgp,")"); - } - fprintf(ficgp,")"); - if(ng ==2) - fprintf(ficgp," t \"p%d%d\" ", k2,k); - else /* ng= 3 */ - fprintf(ficgp," t \"i%d%d\" ", k2,k); - }else{ /* end ng <> 1 */ - if( k !=k2) /* logit p11 is hard to draw */ - fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k); - } - if ((k+k2)!= (nlstate*2+ndeath) && ng != 1) - fprintf(ficgp,","); - if (ng == 1 && k!=k2 && (k+k2)!= (nlstate*2+ndeath)) - fprintf(ficgp,","); - i=i+ncovmodel; - } /* end k */ - } /* end k2 */ - fprintf(ficgp,"\n set out\n"); - } /* end jk */ - } /* end ng */ - /* avoid: */ - fflush(ficgp); + 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])]); */ + 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,")"); + } + fprintf(ficgp,")"); + if(ng ==2) + fprintf(ficgp," t \"p%d%d\" ", k2,k); + else /* ng= 3 */ + fprintf(ficgp," t \"i%d%d\" ", k2,k); + }else{ /* end ng <> 1 */ + if( k !=k2) /* logit p11 is hard to draw */ + fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k); + } + if ((k+k2)!= (nlstate*2+ndeath) && ng != 1) + fprintf(ficgp,","); + if (ng == 1 && k!=k2 && (k+k2)!= (nlstate*2+ndeath)) + fprintf(ficgp,","); + i=i+ncovmodel; + } /* end k */ + } /* end k2 */ + fprintf(ficgp,"\n set out\n"); + } /* end jk */ + } /* end ng */ + /* avoid: */ + fflush(ficgp); } /* end gnuplot */ /*************** Moving average **************/ /* int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav, double bageout, double fageout){ */ -int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav){ + int movingaverage(double ***probs, double bage, double fage, double ***mobaverage, int mobilav){ - int i, cpt, cptcod; - int modcovmax =1; - int mobilavrange, mob; - int iage=0; + int i, cpt, cptcod; + int modcovmax =1; + int mobilavrange, mob; + int iage=0; + + double sum=0.; + double age; + double *sumnewp, *sumnewm; + double *agemingood, *agemaxgood; /* Currently identical for all covariates */ + + + /* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */ + /* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */ + + sumnewp = vector(1,ncovcombmax); + sumnewm = vector(1,ncovcombmax); + agemingood = vector(1,ncovcombmax); + agemaxgood = vector(1,ncovcombmax); + + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + sumnewm[cptcod]=0.; + sumnewp[cptcod]=0.; + agemingood[cptcod]=0; + agemaxgood[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 */ + else mobilavrange=mobilav; + for (age=bage; age<=fage; age++) + for (i=1; i<=nlstate;i++) + for (cptcod=1;cptcod<=ncovcombmax;cptcod++) + mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; + /* We keep the original values on the extreme ages bage, fage and for + fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2 + we use a 5 terms etc. until the borders are no more concerned. + */ + 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++){ + 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; + } + } + }/* end age */ + }/* end mob */ + }else + return -1; + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + /* 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; + } - double sum=0.; - double age; - double *sumnewp, *sumnewm; - double *agemingood, *agemaxgood; /* Currently identical for all covariates */ - - - modcovmax=2*cptcoveff;/* Max number of modalities. We suppose - a covariate has 2 modalities, should be equal to ncovcombmax */ - - sumnewp = vector(1,modcovmax); - sumnewm = vector(1,modcovmax); - agemingood = vector(1,modcovmax); - agemaxgood = vector(1,modcovmax); - - for (cptcod=1;cptcod<=modcovmax;cptcod++){ - sumnewm[cptcod]=0.; - sumnewp[cptcod]=0.; - agemingood[cptcod]=0; - agemaxgood[cptcod]=0; - } - if (cptcovn<1) modcovmax=1; /* At least 1 pass */ - - if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ - if(mobilav==1) mobilavrange=5; /* default */ - else mobilavrange=mobilav; - for (age=bage; age<=fage; age++) - for (i=1; i<=nlstate;i++) - for (cptcod=1;cptcod<=modcovmax;cptcod++) - mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; - /* We keep the original values on the extreme ages bage, fage and for - fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2 - we use a 5 terms etc. until the borders are no more concerned. - */ - 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<=modcovmax;cptcod++){ - 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; - } - } - }/* end age */ - }/* end mob */ - }else - return -1; - for (cptcod=1;cptcod<=modcovmax;cptcod++){ - /* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */ - agemingood[cptcod]=fage-(mob-1)/2; - for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */ - sumnewm[cptcod]=0.; - for (i=1; i<=nlstate;i++){ - sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; - } - 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++){ - sumnewm[cptcod]=0.; - for (i=1; i<=nlstate;i++){ - sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; - } - 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 */ - } /* 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; age<=fage; age++){ - printf("%d %d ", cptcod, (int)age); - sumnewp[cptcod]=0.; - sumnewm[cptcod]=0.; - for (i=1; i<=nlstate;i++){ - sumnewp[cptcod]+=probs[(int)age][i][cptcod]; - sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; - /* printf("%.4f %.4f ",probs[(int)age][i][cptcod], mobaverage[(int)age][i][cptcod]); */ - } - /* printf("%.4f %.4f \n",sumnewp[cptcod], sumnewm[cptcod]); */ - } - /* 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.; - } - } - }/* end cptcod */ - free_vector(sumnewm,1, modcovmax); - free_vector(sumnewp,1, modcovmax); - free_vector(agemaxgood,1, modcovmax); - free_vector(agemingood,1, modcovmax); - return 0; -}/* End movingaverage */ + agemingood[cptcod]=fage-(mob-1)/2; + for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */ + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + } + 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++){ + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + } + 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 */ + } /* 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; age<=fage; age++){ + printf("%d %d ", cptcod, (int)age); + sumnewp[cptcod]=0.; + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewp[cptcod]+=probs[(int)age][i][cptcod]; + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + /* printf("%.4f %.4f ",probs[(int)age][i][cptcod], mobaverage[(int)age][i][cptcod]); */ + } + /* printf("%.4f %.4f \n",sumnewp[cptcod], sumnewm[cptcod]); */ + } + /* 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.; + } + } + }/* end cptcod */ + free_vector(sumnewm,1, ncovcombmax); + free_vector(sumnewp,1, ncovcombmax); + free_vector(agemaxgood,1, ncovcombmax); + free_vector(agemingood,1, ncovcombmax); + return 0; + }/* End movingaverage */ /************** Forecasting ******************/ @@ -6423,66 +6930,67 @@ void prevforecast(char fileres[], double if(jprojmean==0) jprojmean=1; if(mprojmean==0) jprojmean=1; - i1=cptcoveff; + i1=pow(2,cptcoveff); if (cptcovn < 1){i1=1;} fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); fprintf(ficresf,"#****** Routine prevforecast **\n"); - + /* if (h==(int)(YEARM*yearp)){ */ - for(cptcov=1, k=0;cptcov<=i1;cptcov++){ - for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ - k=k+1; - fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - fprintf(ficresf," yearproj age"); - for(j=1; j<=nlstate+ndeath;j++){ - for(i=1; i<=nlstate;i++) - fprintf(ficresf," p%d%d",i,j); - fprintf(ficresf," wp.%d",j); - } - for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { - fprintf(ficresf,"\n"); - fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); - for (agec=fage; agec>=(ageminpar-1); agec--){ - nhstepm=(int) rint((agelim-agec)*YEARM/stepm); - 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); - - for (h=0; h<=nhstepm; h++){ - if (h*hstepm/YEARM*stepm ==yearp) { - fprintf(ficresf,"\n"); - for(j=1;j<=cptcoveff;j++) - fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); - } - for(j=1; j<=nlstate+ndeath;j++) { - ppij=0.; - for(i=1; i<=nlstate;i++) { - if (mobilav==1) - ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; - else { - ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; - } - if (h*hstepm/YEARM*stepm== yearp) { - fprintf(ficresf," %.3f", p3mat[i][j][h]); - } - } /* end i */ - if (h*hstepm/YEARM*stepm==yearp) { - fprintf(ficresf," %.3f", ppij); - } - }/* end j */ - } /* end h */ - free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - } /* end agec */ - } /* end yearp */ - } /* end cptcod */ - } /* end cptcov */ + for(k=1;k<=i1;k++){ + if(invalidvarcomb[k]){ + printf("\nCombination (%d) projection ignored because no cases \n",k); + continue; + } + fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + fprintf(ficresf," yearproj age"); + for(j=1; j<=nlstate+ndeath;j++){ + for(i=1; i<=nlstate;i++) + fprintf(ficresf," p%d%d",i,j); + fprintf(ficresf," wp.%d",j); + } + for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { + fprintf(ficresf,"\n"); + fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp); + for (agec=fage; agec>=(ageminpar-1); agec--){ + nhstepm=(int) rint((agelim-agec)*YEARM/stepm); + 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); + + for (h=0; h<=nhstepm; h++){ + if (h*hstepm/YEARM*stepm ==yearp) { + fprintf(ficresf,"\n"); + for(j=1;j<=cptcoveff;j++) + fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm); + } + for(j=1; j<=nlstate+ndeath;j++) { + ppij=0.; + for(i=1; i<=nlstate;i++) { + 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]; + } + if (h*hstepm/YEARM*stepm== yearp) { + fprintf(ficresf," %.3f", p3mat[i][j][h]); + } + } /* end i */ + if (h*hstepm/YEARM*stepm==yearp) { + fprintf(ficresf," %.3f", ppij); + } + }/* end j */ + } /* end h */ + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + } /* end agec */ + } /* end yearp */ + } /* end k */ fclose(ficresf); printf("End of Computing forecasting \n"); @@ -6621,165 +7129,165 @@ void prevforecast(char fileres[], double /* } */ /************** Forecasting *****not tested NB*************/ -void populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ +/* void populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2s, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ */ - int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h; - int *popage; - double calagedatem, agelim, kk1, kk2; - double *popeffectif,*popcount; - double ***p3mat,***tabpop,***tabpopprev; - /* double ***mobaverage; */ - char filerespop[FILENAMELENGTH]; +/* int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h; */ +/* int *popage; */ +/* double calagedatem, agelim, kk1, kk2; */ +/* double *popeffectif,*popcount; */ +/* double ***p3mat,***tabpop,***tabpopprev; */ +/* /\* double ***mobaverage; *\/ */ +/* char filerespop[FILENAMELENGTH]; */ - tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - agelim=AGESUP; - calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM; +/* tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ +/* tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ +/* agelim=AGESUP; */ +/* calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM; */ - prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); +/* prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */ - strcpy(filerespop,"POP_"); - strcat(filerespop,fileresu); - if((ficrespop=fopen(filerespop,"w"))==NULL) { - printf("Problem with forecast resultfile: %s\n", filerespop); - fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop); - } - printf("Computing forecasting: result on file '%s' \n", filerespop); - fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); +/* strcpy(filerespop,"POP_"); */ +/* strcat(filerespop,fileresu); */ +/* if((ficrespop=fopen(filerespop,"w"))==NULL) { */ +/* printf("Problem with forecast resultfile: %s\n", filerespop); */ +/* fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop); */ +/* } */ +/* printf("Computing forecasting: result on file '%s' \n", filerespop); */ +/* fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); */ - if (cptcoveff==0) ncodemax[cptcoveff]=1; +/* if (cptcoveff==0) ncodemax[cptcoveff]=1; */ - /* if (mobilav!=0) { */ - /* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ - /* if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ */ - /* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); */ - /* printf(" Error in movingaverage mobilav=%d\n",mobilav); */ - /* } */ - /* } */ +/* /\* if (mobilav!=0) { *\/ */ +/* /\* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ +/* /\* if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ *\/ */ +/* /\* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); *\/ */ +/* /\* printf(" Error in movingaverage mobilav=%d\n",mobilav); *\/ */ +/* /\* } *\/ */ +/* /\* } *\/ */ - stepsize=(int) (stepm+YEARM-1)/YEARM; - if (stepm<=12) stepsize=1; +/* stepsize=(int) (stepm+YEARM-1)/YEARM; */ +/* if (stepm<=12) stepsize=1; */ - agelim=AGESUP; +/* agelim=AGESUP; */ - hstepm=1; - hstepm=hstepm/stepm; +/* hstepm=1; */ +/* hstepm=hstepm/stepm; */ - if (popforecast==1) { - if((ficpop=fopen(popfile,"r"))==NULL) { - printf("Problem with population file : %s\n",popfile);exit(0); - fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0); - } - popage=ivector(0,AGESUP); - popeffectif=vector(0,AGESUP); - popcount=vector(0,AGESUP); +/* if (popforecast==1) { */ +/* if((ficpop=fopen(popfile,"r"))==NULL) { */ +/* printf("Problem with population file : %s\n",popfile);exit(0); */ +/* fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0); */ +/* } */ +/* popage=ivector(0,AGESUP); */ +/* popeffectif=vector(0,AGESUP); */ +/* popcount=vector(0,AGESUP); */ - i=1; - while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1; +/* i=1; */ +/* while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1; */ - imx=i; - for (i=1; i=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ - nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); - nhstepm = nhstepm/hstepm; +/* for(cptcov=1,k=0;cptcov<=i2;cptcov++){ */ +/* for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ */ +/* k=k+1; */ +/* fprintf(ficrespop,"\n#******"); */ +/* for(j=1;j<=cptcoveff;j++) { */ +/* fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */ +/* } */ +/* fprintf(ficrespop,"******\n"); */ +/* fprintf(ficrespop,"# Age"); */ +/* for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j); */ +/* if (popforecast==1) fprintf(ficrespop," [Population]"); */ + +/* for (cpt=0; cpt<=0;cpt++) { */ +/* fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); */ + +/* for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ */ +/* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); */ +/* nhstepm = nhstepm/hstepm; */ - 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); +/* 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); */ - for (h=0; h<=nhstepm; h++){ - if (h==(int) (calagedatem+YEARM*cpt)) { - fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); - } - for(j=1; j<=nlstate+ndeath;j++) { - kk1=0.;kk2=0; - for(i=1; i<=nlstate;i++) { - if (mobilav==1) - kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod]; - else { - kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod]; - } - } - if (h==(int)(calagedatem+12*cpt)){ - tabpop[(int)(agedeb)][j][cptcod]=kk1; - /*fprintf(ficrespop," %.3f", kk1); - if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/ - } - } - for(i=1; i<=nlstate;i++){ - kk1=0.; - for(j=1; j<=nlstate;j++){ - kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; - } - tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)]; - } +/* for (h=0; h<=nhstepm; h++){ */ +/* if (h==(int) (calagedatem+YEARM*cpt)) { */ +/* fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); */ +/* } */ +/* for(j=1; j<=nlstate+ndeath;j++) { */ +/* kk1=0.;kk2=0; */ +/* for(i=1; i<=nlstate;i++) { */ +/* if (mobilav==1) */ +/* kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod]; */ +/* else { */ +/* kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod]; */ +/* } */ +/* } */ +/* if (h==(int)(calagedatem+12*cpt)){ */ +/* tabpop[(int)(agedeb)][j][cptcod]=kk1; */ +/* /\*fprintf(ficrespop," %.3f", kk1); */ +/* if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*\/ */ +/* } */ +/* } */ +/* for(i=1; i<=nlstate;i++){ */ +/* kk1=0.; */ +/* for(j=1; j<=nlstate;j++){ */ +/* kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; */ +/* } */ +/* tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)]; */ +/* } */ - if (h==(int)(calagedatem+12*cpt)) - for(j=1; j<=nlstate;j++) - fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]); - } - free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - } - } +/* if (h==(int)(calagedatem+12*cpt)) */ +/* for(j=1; j<=nlstate;j++) */ +/* fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]); */ +/* } */ +/* free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ +/* } */ +/* } */ - /******/ +/* /\******\/ */ - for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { - fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); - for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ - nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); - nhstepm = nhstepm/hstepm; +/* for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { */ +/* fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); */ +/* for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ */ +/* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); */ +/* nhstepm = nhstepm/hstepm; */ - 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); - for (h=0; h<=nhstepm; h++){ - if (h==(int) (calagedatem+YEARM*cpt)) { - fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); - } - for(j=1; j<=nlstate+ndeath;j++) { - kk1=0.;kk2=0; - for(i=1; i<=nlstate;i++) { - kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod]; - } - if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1); - } - } - free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - } - } - } - } +/* 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); */ +/* for (h=0; h<=nhstepm; h++){ */ +/* if (h==(int) (calagedatem+YEARM*cpt)) { */ +/* fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm); */ +/* } */ +/* for(j=1; j<=nlstate+ndeath;j++) { */ +/* kk1=0.;kk2=0; */ +/* for(i=1; i<=nlstate;i++) { */ +/* kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod]; */ +/* } */ +/* if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1); */ +/* } */ +/* } */ +/* free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */ +/* } */ +/* } */ +/* } */ +/* } */ - /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ +/* /\* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */ - if (popforecast==1) { - free_ivector(popage,0,AGESUP); - free_vector(popeffectif,0,AGESUP); - free_vector(popcount,0,AGESUP); - } - free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - fclose(ficrespop); -} /* End of popforecast */ +/* if (popforecast==1) { */ +/* free_ivector(popage,0,AGESUP); */ +/* free_vector(popeffectif,0,AGESUP); */ +/* free_vector(popcount,0,AGESUP); */ +/* } */ +/* free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ +/* free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ +/* fclose(ficrespop); */ +/* } /\* End of popforecast *\/ */ int fileappend(FILE *fichier, char *optionfich) { @@ -6921,7 +7429,7 @@ double gompertz(double x[]) double A,B,L=0.0,sump=0.,num=0.; int i,n=0; /* n is the size of the sample */ - for (i=0;i<=imx-1 ; i++) { + for (i=1;i<=imx ; i++) { sump=sump+weight[i]; /* sump=sump+1;*/ num=num+1; @@ -7046,12 +7554,13 @@ int readdata(char datafile[], int firsto /*-------- data file ----------*/ FILE *fic; char dummy[]=" "; - int i=0, j=0, n=0; + int i=0, j=0, n=0, iv=0; + int lstra; int linei, month, year,iout; char line[MAXLINE], linetmp[MAXLINE]; char stra[MAXLINE], strb[MAXLINE]; char *stratrunc; - int lstra; + if((fic=fopen(datafile,"r"))==NULL) { @@ -7078,24 +7587,94 @@ int readdata(char datafile[], int firsto } trimbb(linetmp,line); /* Trims multiple blanks in line */ strcpy(line, linetmp); - - + + /* 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 */ + 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; + } + 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 \ + 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 \ + 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 \ + Exiting.\n",lval,linei, i,line,j); + 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 \ + 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 \ + Exiting.\n",lval,linei, i,line,j);fflush(ficlog); + 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 status */ + 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 (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; + /* Date of Interview */ strcpy(line,stra); cutv(stra, strb,line,' '); if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ @@ -7111,8 +7690,9 @@ int readdata(char datafile[], int firsto anint[j][i]= (double) year; mint[j][i]= (double)month; strcpy(line,stra); - } /* ENd Waves */ + } /* End loop on waves */ + /* Date of death */ cutv(stra, strb,line,' '); if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ } @@ -7121,13 +7701,14 @@ int readdata(char datafile[], int firsto year=9999; }else{ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line); - fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); - return 1; + fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); + return 1; } andc[i]=(double) year; moisdc[i]=(double) month; strcpy(line,stra); + /* Date of birth */ cutv(stra, strb,line,' '); if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){ } @@ -7137,18 +7718,19 @@ int readdata(char datafile[], int firsto }else{ printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line); fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog); - return 1; + return 1; } if (year==9999) { printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line); fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog); - return 1; - + return 1; + } annais[i]=(double)(year); moisnais[i]=(double)(month); strcpy(line,stra); + /* Sample weight */ cutv(stra, strb,line,' '); errno=0; dval=strtod(strb,&endptr); @@ -7161,9 +7743,32 @@ int readdata(char datafile[], int firsto weight[i]=dval; strcpy(line,stra); + for (iv=nqv;iv>=1;iv--){ /* Loop on fixed quantitative variables */ + cutv(stra, strb, line, ' '); + if(strb[0]=='.') { /* Missing value */ + lval=-1; + }else{ + errno=0; + /* what_kind_of_number(strb); */ + dval=strtod(strb,&endptr); + /* 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) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, 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) constant for all waves. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqv, maxwav);fflush(ficlog); + return 1; + } + coqvar[iv][i]=dval; + covar[ncovcol+iv][i]=dval; /* including qvar in standard covar for performance reasons */ + } + strcpy(line,stra); + }/* end loop nqv */ + + /* Covariate values */ for (j=ncovcol;j>=1;j--){ cutv(stra, strb,line,' '); - if(strb[0]=='.') { /* Missing status */ + if(strb[0]=='.') { /* Missing covariate value */ lval=-1; }else{ errno=0; @@ -7178,20 +7783,20 @@ int readdata(char datafile[], int firsto 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 \ 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; } @@ -7199,7 +7804,7 @@ int readdata(char datafile[], int firsto strcpy(line,stra); } lstra=strlen(stra); - + if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */ stratrunc = &(stra[lstra-9]); num[i]=atol(stratrunc); @@ -7211,44 +7816,85 @@ int readdata(char datafile[], int firsto i=i+1; } /* End loop reading data */ - + *imax=i-1; /* Number of individuals */ fclose(fic); - + return (0); /* endread: */ - printf("Exiting readdata: "); - fclose(fic); - return (1); + printf("Exiting readdata: "); + fclose(fic); + return (1); +} + +void removespace(char **stri){/*, char stro[]) {*/ + char *p1 = *stri, *p2 = *stri; + do + while (*p2 == ' ') + p2++; + while (*p1++ == *p2++); + *stri=p1; +} +int decoderesult ( char resultline[]) +/**< This routine decode one result line and returns the combination # of dummy covariates only **/ +{ + int j=0, k=0; + char resultsav[MAXLINE]; + char stra[80], strb[80], strc[80], strd[80],stre[80]; + removespace(&resultline); + printf("decoderesult=%s\n",resultline); + if (strstr(resultline,"v") !=0){ + printf("Error. 'v' must be in upper case 'V' result: %s ",resultline); + fprintf(ficlog,"Error. 'v' must be in upper case result: %s ",resultline);fflush(ficlog); + return 1; + } + trimbb(resultsav, resultline); + if (strlen(resultsav) >1){ + j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */ + } + + for(k=1; k<=j;k++){ /* Loop on total covariates of the model */ + cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' + resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ + cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ + Tvalsel[k]=atof(strc); /* 1 */ + + cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */; + Tvarsel[k]=atoi(strc); + /* Typevarsel[k]=1; /\* 1 for age product *\/ */ + /* cptcovsel++; */ + if (nbocc(stra,'=') >0) + strcpy(resultsav,stra); /* and analyzes it */ + } + return (0); } -void removespace(char *str) { - char *p1 = str, *p2 = str; - do - while (*p2 == ' ') - p2++; - while (*p1++ == *p2++); +int selected( int kvar){ /* Selected combination of covariates */ + if(Tvarsel[kvar]) + return (0); + else + return(1); } - -int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns: - * Model V1+V2+V3+V8+V7*V8+V5*V6+V8*age+V3*age+age*age - * - nagesqr = 1 if age*age in the model, otherwise 0. - * - cptcovt total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age - * - cptcovn or number of covariates k of the models excluding age*products =6 and age*age - * - cptcovage number of covariates with age*products =2 - * - cptcovs number of simple covariates - * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 - * which is a new column after the 9 (ncovcol) variables. - * - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual - * - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage - * Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. - * - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 . - */ +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 + * - nagesqr = 1 if age*age in the model, otherwise 0. + * - cptcovt total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age + * - cptcovn or number of covariates k of the models excluding age*products =6 and age*age + * - cptcovage number of covariates with age*products =2 + * - cptcovs number of simple covariates + * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10 + * which is a new column after the 9 (ncovcol) variables. + * - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual + * - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage + * Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6. + * - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 . + */ { int i, j, k, ks; - int j1, k1, k2; + int j1, k1, k2, k3, k4; char modelsav[80]; char stra[80], strb[80], strc[80], strd[80],stre[80]; char *strpt; @@ -7270,38 +7916,37 @@ int decodemodel ( char model[], int last if ((strpt=strstr(model,"age*age")) !=0){ printf(" strpt=%s, model=%s\n",strpt, model); if(strpt != model){ - printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ + printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ corresponding column of parameters.\n",model); - fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ + fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \ 'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \ corresponding column of parameters.\n",model); fflush(ficlog); - return 1; - } - + return 1; + } nagesqr=1; if (strstr(model,"+age*age") !=0) - substrchaine(modelsav, model, "+age*age"); + substrchaine(modelsav, model, "+age*age"); else if (strstr(model,"age*age+") !=0) - substrchaine(modelsav, model, "age*age+"); + substrchaine(modelsav, model, "age*age+"); else - substrchaine(modelsav, model, "age*age"); + substrchaine(modelsav, model, "age*age"); }else nagesqr=0; if (strlen(modelsav) >1){ j=nbocc(modelsav,'+'); /**< j=Number of '+' */ j1=nbocc(modelsav,'*'); /**< j1=Number of '*' */ - cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =2 */ + cptcovs=j+1-j1; /**< Number of simple covariates V1+V1*age+V3 +V3*V4+age*age=> V1 + V3 =5-3=2 */ cptcovt= j+1; /* Number of total covariates in the model, not including - * cst, age and age*age - * V1+V1*age+ V3 + V3*V4+age*age=> 4*/ - /* including age products which are counted in cptcovage. - * but the covariates which are products must be treated - * separately: ncovn=4- 2=2 (V1+V3). */ + * cst, age and age*age + * V1+V1*age+ V3 + V3*V4+age*age=> 3+1=4*/ + /* including age products which are counted in cptcovage. + * but the covariates which are products must be treated + * separately: ncovn=4- 2=2 (V1+V3). */ cptcovprod=j1; /**< Number of products V1*V2 +v3*age = 2 */ cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1 */ - - + + /* Design * V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight * < ncovcol=8 > @@ -7309,8 +7954,8 @@ int decodemodel ( char model[], int last * k= 1 2 3 4 5 6 7 8 * cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8 * covar[k,i], value of kth covariate if not including age for individual i: - * covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8) - * Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[4]=3 Tvar[8]=8 + * covar[1][i]= (V1), covar[4][i]=(V4), covar[8][i]=(V8) + * Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[2]=1 Tvar[4]=3 Tvar[8]=8 * if multiplied by age: V3*age Tvar[3=V3*age]=3 (V3) Tvar[7]=8 and * Tage[++cptcovage]=k * if products, new covar are created after ncovcol with k1 @@ -7335,7 +7980,7 @@ int decodemodel ( char model[], int last * {2, 1, 4, 8, 5, 6, 3, 7} * Struct [] */ - + /* This loop fills the array Tvar from the string 'model'.*/ /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */ /* modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 */ @@ -7350,8 +7995,9 @@ int decodemodel ( char model[], int last /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]*cov[2]; */ /* * Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */ - for(k=cptcovt; k>=1;k--) /**< Number of covariates */ - Tvar[k]=0; + for(k=cptcovt; k>=1;k--){ /**< Number of covariates not including constant and age, neither age*age*/ + Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0; + } cptcovage=0; for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */ cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' @@ -7366,6 +8012,7 @@ int decodemodel ( char model[], int last cptcovprod--; cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */ Tvar[k]=atoi(stre); /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */ + Typevar[k]=1; /* 1 for age product */ cptcovage++; /* Sums the number of covariates which include age as a product */ Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */ /*printf("stre=%s ", stre);*/ @@ -7373,6 +8020,7 @@ int decodemodel ( char model[], int last cptcovprod--; cutl(stre,strb,strc,'V'); Tvar[k]=atoi(stre); + Typevar[k]=1; /* 1 for age product */ cptcovage++; Tage[cptcovage]=k; } else { /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2 strb=V3*V2*/ @@ -7380,18 +8028,22 @@ int decodemodel ( char model[], int last cptcovn++; cptcovprodnoage++;k1++; cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/ - Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but + Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but because this model-covariate is a construction we invent a new column - ncovcol + k1 + which is after existing variables ncovcol+nqv+ntv+nqtv + k1 If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ + Typevar[k]=2; /* 2 for double fixed dummy covariates */ cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */ Tprod[k1]=k; /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2 */ + Tposprod[k]=k1; /* Tpsprod[3]=1, Tposprod[2]=5 */ Tvard[k1][1] =atoi(strc); /* m 1 for V1*/ Tvard[k1][2] =atoi(stre); /* n 4 for V4*/ - k2=k2+2; - Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */ - Tvar[cptcovt+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */ + k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in Vn*Vm at the end of Tvar */ + /* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) *\/ */ + /* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) *\/ */ + /*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */ + /* 1 2 3 4 5 | Tvar[5+1)=1, Tvar[7]=2 */ for (i=1; i<=lastobs;i++){ /* Computes the new covariate which is a product of covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */ @@ -7403,31 +8055,240 @@ int decodemodel ( char model[], int last /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/ /* scanf("%d",i);*/ cutl(strd,strc,strb,'V'); - ks++; /**< Number of simple covariates */ - cptcovn++; + ks++; /**< Number of simple covariates dummy or quantitative, fixe or varying */ + cptcovn++; /** V4+V3+V5: V4 and V3 timevarying dummy covariates, V5 timevarying quantitative */ Tvar[k]=atoi(strd); + Typevar[k]=0; /* 0 for simple covariates */ } strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ - /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); - scanf("%d",i);*/ + /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav); + scanf("%d",i);*/ } /* end of loop + on total covariates */ } /* end if strlen(modelsave == 0) age*age might exist */ } /* end if strlen(model == 0) */ /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products. If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/ - + /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]); - printf("cptcovprod=%d ", cptcovprod); - fprintf(ficlog,"cptcovprod=%d ", cptcovprod); - - scanf("%d ",i);*/ - - + printf("cptcovprod=%d ", cptcovprod); + fprintf(ficlog,"cptcovprod=%d ", cptcovprod); + scanf("%d ",i);*/ + + +/* Until here, decodemodel knows only the grammar (simple, product, age*) of the model but not what kind + of variable (dummy vs quantitative, fixed vs time varying) is behind. But we know the # of each. */ +/* ncovcol= 1, nqv=1 | ntv=2, nqtv= 1 = 5 possible variables data: 2 fixed 3, varying + model= V5 + V4 +V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + V5*age, V1 is not used saving its place + k = 1 2 3 4 5 6 7 8 9 + Tvar[k]= 5 4 3 1+1+2+1+1=6 5 2 7 1 5 + Typevar[k]= 0 0 0 2 1 0 2 1 1 + Fixed[k] 1 1 1 1 3 0 0 or 2 2 3 + Dummy[k] 1 0 0 0 3 1 1 2 3 + Tmodelind[combination of covar]=k; +*/ +/* Dispatching between quantitative and time varying covariates */ + /* If Tvar[k] >ncovcol it is a product */ + /* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=Vn*Vm for product */ + /* Computing effective variables, ie used by the model, that is from the cptcovt variables */ + printf("Model=%s\n\ +Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ +Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ +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); + fprintf(ficlog,"Model=%s\n\ +Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\ +Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\ +Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model); + + for(k=1, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ + if (Tvar[k] <=ncovcol && (Typevar[k]==0 || Typevar[k]==2)){ /* Simple or product fixed dummy (<=ncovcol) covariates */ + Fixed[k]= 0; + Dummy[k]= 0; + ncoveff++; + modell[k].maintype= FTYPE; + TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + }else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){ /* Remind that product Vn*Vm are added in k*/ /* Only simple fixed quantitative variable */ + Fixed[k]= 0; + Dummy[k]= 1; + nqfveff++; + modell[k].maintype= FTYPE; + modell[k].subtype= FQ; + 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){ + Fixed[k]= 1; + Dummy[k]= 0; + ntveff++; /* Only simple time varying dummy variable */ + modell[k].maintype= VTYPE; + modell[k].subtype= VD; + TvarVD[ntveff]=Tvar[k]; /* TvarVD[1]=V4 TvarVD[2]=V3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ + TvarVDind[ntveff]=k; /* TvarVDind[1]=2 TvarVDind[2]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ + printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); + printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); + }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ + Fixed[k]= 1; + Dummy[k]= 1; + nqtveff++; + modell[k].maintype= VTYPE; + modell[k].subtype= VQ; + TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ + /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ + printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); + printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); + }else if (Typevar[k] == 1) { /* product with age */ + if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ + Fixed[k]= 2; + Dummy[k]= 2; + modell[k].maintype= ATYPE; + modell[k].subtype= APFD; + /* ncoveff++; */ + }else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ + Fixed[k]= 2; + Dummy[k]= 3; + 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 *\/ */ + }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 *\/ */ + } + }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 */ + }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 */ + }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 */ + }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 */ + } + }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 */ + }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 */ + }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 */ + } + }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 */ + }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 */ + }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 */ + }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 */ + } + }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 */ + }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 */ + }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 */ + }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 */ + } + }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 */ + }else{ + printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); + fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]); + } + printf("Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); + printf(" modell[%d].maintype=%d, modell[%d].subtype=%d\n",k,modell[k].maintype,k,modell[k].subtype); + fprintf(ficlog,"Decodemodel, k=%d, Tvar[%d]=V%d,Typevar=%d, Fixed=%d, Dummy=%d\n",k, k,Tvar[k],Typevar[k],Fixed[k],Dummy[k]); + } + /* Searching for doublons in the model */ + for(k1=1; k1<= cptcovt;k1++){ + for(k2=1; k2 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); + 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); + 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); + /* 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)]); + 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]); + tot += bprlim[i][i]; + fprintf(ficresplb," %.5f", bprlim[i][i]); } fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); } /* Age */ @@ -8015,6 +8886,10 @@ int hPijx(double *p, int bage, int fage) 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) */ @@ -8093,6 +8968,8 @@ int main(int argc, char *argv[]) char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; char model[MAXLINE], modeltemp[MAXLINE]; + char resultline[MAXLINE]; + char pathr[MAXLINE], pathimach[MAXLINE]; char *tok, *val; /* pathtot */ int firstobs=1, lastobs=10; @@ -8329,13 +9206,13 @@ int main(int argc, char *argv[]) }else break; } - if((num_filled=sscanf(line,"ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n", \ - &ftol, &stepm, &ncovcol, &nlstate, &ndeath, &maxwav, &mle, &weightopt)) !=EOF){ - if (num_filled != 8) { - printf("Not 8 parameters, for example:ftol=1.e-8 stepm=12 ncovcol=2 nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1\n"); + if((num_filled=sscanf(line,"ftol=%lf stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n", \ + &ftol, &stepm, &ncovcol, &nqv, &ntv, &nqtv, &nlstate, &ndeath, &maxwav, &mle, &weightopt)) !=EOF){ + if (num_filled != 11) { + printf("Not 11 parameters, for example:ftol=1.e-8 stepm=12 ncovcol=2 nqv=1 ntv=2 nqtv=1 nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1\n"); printf("but line=%s\n",line); } - printf("ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt); + printf("ftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, mle, weightopt); } /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ /*ftolpl=6.e-4; *//* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ @@ -8373,8 +9250,8 @@ int main(int argc, char *argv[]) /* fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); */ /* numlinepar=numlinepar+3; /\* In general *\/ */ /* printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); */ - fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); - fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); + fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol, nqv, ntv, nqtv, nlstate,ndeath,maxwav, mle, weightopt,model); + fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol, nqv, ntv, nqtv, nlstate,ndeath,maxwav, mle, weightopt,model); fflush(ficlog); /* if(model[0]=='#'|| model[0]== '\0'){ */ if(model[0]=='#'){ @@ -8403,6 +9280,9 @@ int main(int argc, char *argv[]) covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */ + coqvar=matrix(1,nqv,1,n); /**< Fixed quantitative covariate */ + cotvar=ma3x(1,maxwav,1,ntv,1,n); /**< Time varying covariate */ + cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< Time varying quantitative covariate */ cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/ /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5 v1+v2*age+v2*v3 makes cptcovn = 3 @@ -8432,16 +9312,14 @@ int main(int argc, char *argv[]) fclose (ficlog); goto end; exit(0); - } - else if(mle==-3) { /* Main Wizard */ + } else if(mle==-5) { /* Main Wizard */ prwizard(ncovmodel, nlstate, ndeath, model, ficparo); printf(" You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso); fprintf(ficlog," You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso); param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); matcov=matrix(1,npar,1,npar); hess=matrix(1,npar,1,npar); - } - else{ + } else{ /* Begin of mle != -1 or -5 */ /* Read guessed parameters */ /* Reads comments: lines beginning with '#' */ while((c=getc(ficpar))=='#' && c!= EOF){ @@ -8456,37 +9334,37 @@ int main(int argc, char *argv[]) param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); for(i=1; i <=nlstate; i++){ - j=0; + j=0; for(jj=1; jj <=nlstate+ndeath; jj++){ - if(jj==i) continue; - j++; - fscanf(ficpar,"%1d%1d",&i1,&j1); - if ((i1 != i) || (j1 != jj)){ - printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \ + if(jj==i) continue; + j++; + fscanf(ficpar,"%1d%1d",&i1,&j1); + if ((i1 != i) || (j1 != jj)){ + printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \ It might be a problem of design; if ncovcol and the model are correct\n \ run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1); - exit(1); - } - fprintf(ficparo,"%1d%1d",i1,j1); - if(mle==1) - printf("%1d%1d",i,jj); - fprintf(ficlog,"%1d%1d",i,jj); - for(k=1; k<=ncovmodel;k++){ - fscanf(ficpar," %lf",¶m[i][j][k]); - if(mle==1){ - printf(" %lf",param[i][j][k]); - fprintf(ficlog," %lf",param[i][j][k]); - } - else - fprintf(ficlog," %lf",param[i][j][k]); - fprintf(ficparo," %lf",param[i][j][k]); - } - fscanf(ficpar,"\n"); - numlinepar++; - if(mle==1) - printf("\n"); - fprintf(ficlog,"\n"); - fprintf(ficparo,"\n"); + exit(1); + } + fprintf(ficparo,"%1d%1d",i1,j1); + if(mle==1) + printf("%1d%1d",i,jj); + fprintf(ficlog,"%1d%1d",i,jj); + for(k=1; k<=ncovmodel;k++){ + fscanf(ficpar," %lf",¶m[i][j][k]); + if(mle==1){ + printf(" %lf",param[i][j][k]); + fprintf(ficlog," %lf",param[i][j][k]); + } + else + fprintf(ficlog," %lf",param[i][j][k]); + fprintf(ficparo," %lf",param[i][j][k]); + } + fscanf(ficpar,"\n"); + numlinepar++; + if(mle==1) + printf("\n"); + fprintf(ficlog,"\n"); + fprintf(ficparo,"\n"); } } fflush(ficlog); @@ -8507,35 +9385,35 @@ run imach with mle=-1 to get a correct t for(i=1; i <=nlstate; i++){ for(j=1; j <=nlstate+ndeath-1; j++){ - fscanf(ficpar,"%1d%1d",&i1,&j1); - if ( (i1-i) * (j1-j) != 0){ - printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1); - exit(1); - } - printf("%1d%1d",i,j); - fprintf(ficparo,"%1d%1d",i1,j1); - fprintf(ficlog,"%1d%1d",i1,j1); - for(k=1; k<=ncovmodel;k++){ - fscanf(ficpar,"%le",&delti3[i][j][k]); - printf(" %le",delti3[i][j][k]); - fprintf(ficparo," %le",delti3[i][j][k]); - fprintf(ficlog," %le",delti3[i][j][k]); - } - fscanf(ficpar,"\n"); - numlinepar++; - printf("\n"); - fprintf(ficparo,"\n"); - fprintf(ficlog,"\n"); + fscanf(ficpar,"%1d%1d",&i1,&j1); + if ( (i1-i) * (j1-j) != 0){ + printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1); + exit(1); + } + printf("%1d%1d",i,j); + fprintf(ficparo,"%1d%1d",i1,j1); + fprintf(ficlog,"%1d%1d",i1,j1); + for(k=1; k<=ncovmodel;k++){ + fscanf(ficpar,"%le",&delti3[i][j][k]); + printf(" %le",delti3[i][j][k]); + fprintf(ficparo," %le",delti3[i][j][k]); + fprintf(ficlog," %le",delti3[i][j][k]); + } + fscanf(ficpar,"\n"); + numlinepar++; + printf("\n"); + fprintf(ficparo,"\n"); + fprintf(ficlog,"\n"); } } fflush(ficlog); - + /* Reads covariance matrix */ delti=delti3[1][1]; - - + + /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */ - + /* Reads comments: lines beginning with '#' */ while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); @@ -8546,15 +9424,15 @@ run imach with mle=-1 to get a correct t fputs(line,ficlog); } ungetc(c,ficpar); - + matcov=matrix(1,npar,1,npar); hess=matrix(1,npar,1,npar); for(i=1; i <=npar; i++) for(j=1; j <=npar; j++) matcov[i][j]=0.; - + /* Scans npar lines */ for(i=1; i <=npar; i++){ - count=fscanf(ficpar,"%1d%1d%1d",&i1,&j1,&jk); + count=fscanf(ficpar,"%1d%1d%d",&i1,&j1,&jk); if(count != 3){ printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\ This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ @@ -8563,11 +9441,12 @@ Please run with mle=-1 to get a correct This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\ Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model); exit(1); - }else + }else{ if(mle==1) - printf("%1d%1d%1d",i1,j1,jk); - fprintf(ficlog,"%1d%1d%1d",i1,j1,jk); - fprintf(ficparo,"%1d%1d%1d",i1,j1,jk); + printf("%1d%1d%d",i1,j1,jk); + } + fprintf(ficlog,"%1d%1d%d",i1,j1,jk); + fprintf(ficparo,"%1d%1d%d",i1,j1,jk); for(j=1; j <=i; j++){ fscanf(ficpar," %le",&matcov[i][j]); if(mle==1){ @@ -8579,7 +9458,7 @@ Please run with mle=-1 to get a correct fscanf(ficpar,"\n"); numlinepar++; if(mle==1) - printf("\n"); + printf("\n"); fprintf(ficlog,"\n"); fprintf(ficparo,"\n"); } @@ -8614,10 +9493,19 @@ Please run with mle=-1 to get a correct annais=vector(1,n); moisdc=vector(1,n); andc=vector(1,n); + weight=vector(1,n); agedc=vector(1,n); cod=ivector(1,n); - weight=vector(1,n); - for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */ + for(i=1;i<=n;i++){ + num[i]=0; + moisnais[i]=0; + annais[i]=0; + moisdc[i]=0; + andc[i]=0; + agedc[i]=0; + cod[i]=0; + weight[i]=1.0; /* Equal weights, 1 by default */ + } mint=matrix(1,maxwav,1,n); anint=matrix(1,maxwav,1,n); s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ @@ -8636,7 +9524,21 @@ Please run with mle=-1 to get a correct k=2 V1 Tvar[k=2]= 1 (from V1) k=1 Tvar[1]=2 (from V2) */ - Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ + + Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */ + TvarFD=ivector(1,NCOVMAX); /* */ + TvarFDind=ivector(1,NCOVMAX); /* */ + TvarFQ=ivector(1,NCOVMAX); /* */ + TvarFQind=ivector(1,NCOVMAX); /* */ + TvarVD=ivector(1,NCOVMAX); /* */ + TvarVDind=ivector(1,NCOVMAX); /* */ + TvarVQ=ivector(1,NCOVMAX); /* */ + TvarVQind=ivector(1,NCOVMAX); /* */ + + Tvalsel=vector(1,NCOVMAX); /* */ + Typevar=ivector(-1,NCOVMAX); /* -1 to 2 */ + Fixed=ivector(-1,NCOVMAX); /* -1 to 3 */ + Dummy=ivector(-1,NCOVMAX); /* -1 to 3 */ /* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, Tvar[4=age*V3] is 3 and 'age' is recorded in Tage. @@ -8646,9 +9548,11 @@ Please run with mle=-1 to get a correct ncovcol + k1 If already ncovcol=4 and model=V2+V1+V1*V4+age*V3 Tvar[3=V1*V4]=4+1 etc */ - Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */ + Tprod=ivector(1,NCOVMAX); /* Gives the k position of the k1 product */ + Tposprod=ivector(1,NCOVMAX); /* 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 */ Tvaraff=ivector(1,NCOVMAX); /* Unclear */ Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm @@ -8658,11 +9562,23 @@ Please run with mle=-1 to get a correct 4 covariates (3 plus signs) Tage[1=V3*age]= 4; Tage[2=age*V4] = 3 */ - + Tmodelind=ivector(1,NCOVMAX);/** gives the k model position of an + * individual dummy, fixed or varying: + * Tmodelind[Tvaraff[3]]=9,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 , + * V1 df, V2 qf, V3 & V4 dv, V5 qv + * Tmodelind[1]@9={9,0,3,2,}*/ + TmodelInvind=ivector(1,NCOVMAX); /* TmodelInvind=Tvar[k]- ncovcol-nqv={5-2-1=2,*/ + TmodelInvQind=ivector(1,NCOVMAX);/** gives the k model position of an + * individual quantitative, fixed or varying: + * Tmodelqind[1]=1,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*/ /* Main decodemodel */ - if(decodemodel(model, lastobs) == 1) + if(decodemodel(model, lastobs) == 1) /* In order to get Tvar[k] V4+V3+V5 p Tvar[1]@3 = {4, 3, 5}*/ goto end; if((double)(lastobs-imx)/(double)imx > 1.10){ @@ -8714,16 +9630,23 @@ Please run with mle=-1 to get a correct free_vector(andc,1,n); /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ - nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); ncodemax[1]=1; Ndum =ivector(-1,NCOVMAX); - if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and age*age */ - tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ + cptcoveff=0; + if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */ + tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ + } + + ncovcombmax=pow(2,cptcoveff); + invalidvarcomb=ivector(1, ncovcombmax); + for(i=1;i 0) */ - - m=pow(2,cptcoveff); /**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1 @@ -8806,40 +9725,9 @@ Please run with mle=-1 to get a correct * 2211 * V1=1+1, V2=0+1, V3=1+1, V4=1+1 * V3=2 + * codtabm and decodtabm are identical */ - /* /\* for(h=1; h <=100 ;h++){ *\/ */ - /* /\* printf("h=%2d ", h); *\/ */ - /* /\* for(k=1; k <=10; k++){ *\/ */ - /* /\* printf("k=%d %d ",k,codtabm(h,k)); *\/ */ - /* /\* codtab[h][k]=codtabm(h,k); *\/ */ - /* /\* } *\/ */ - /* /\* printf("\n"); *\/ */ - /* } */ - /* for(k=1;k<=cptcoveff; k++){ /\* scans any effective covariate *\/ */ - /* for(i=1; i <=pow(2,cptcoveff-k);i++){ /\* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 *\/ */ - /* for(j=1; j <= ncodemax[k]; j++){ /\* For each modality of this covariate ncodemax=2*\/ */ - /* for(cpt=1; cpt <=pow(2,k-1); cpt++){ /\* cpt=1 to 8/2**(3+1-1 or 3+1-3) =1 or 4 *\/ */ - /* h++; */ - /* if (h>m) */ - /* h=1; */ - /* codtab[h][k]=j; */ - /* /\* codtab[12][3]=1; *\/ */ - /* /\*codtab[h][Tvar[k]]=j;*\/ */ - /* /\* printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]); *\/ */ - /* } */ - /* } */ - /* } */ - /* } */ - /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); - codtab[1][2]=1;codtab[2][2]=2; */ - /* for(i=1; i <=m ;i++){ */ - /* for(k=1; k <=cptcovn; k++){ */ - /* printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff); */ - /* } */ - /* printf("\n"); */ - /* } */ - /* scanf("%d",i);*/ free_ivector(Ndum,-1,NCOVMAX); @@ -8914,9 +9802,10 @@ Title=%s
        Datafile=%s Firstpass=%d La #endif - /* Calculates basic frequencies. Computes observed prevalence at single age + /* 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,nbcode, ncodemax,mint,anint,strstart,\ + freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ firstpass, lastpass, stepm, weightopt, model); fprintf(fichtm,"\n"); @@ -8925,10 +9814,10 @@ Youngest age at first (selected) pass %. Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf
        \n",\ imx,agemin,agemax,jmin,jmax,jmean); pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ - oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ + oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ + newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ + savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ + oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ /* For Powell, parameters are in a vector p[] starting at p[1] so we point p on param[1][1] so that p[1] maps on param[1][1][1] */ @@ -8938,42 +9827,45 @@ 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.; /* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */ cens=ivector(1,n); ageexmed=vector(1,n); agecens=vector(1,n); dcwave=ivector(1,n); - + for (i=1; i<=imx; i++){ dcwave[i]=-1; for (m=firstpass; m<=lastpass; m++) - if (s[m][i]>nlstate) { - dcwave[i]=m; - /* printf("i=%d j=%d s=%d dcwave=%d\n",i,j, s[j][i],dcwave[i]);*/ - break; - } + if (s[m][i]>nlstate) { + dcwave[i]=m; + /* printf("i=%d j=%d s=%d dcwave=%d\n",i,j, s[j][i],dcwave[i]);*/ + break; + } } - + for (i=1; i<=imx; i++) { if (wav[i]>0){ - ageexmed[i]=agev[mw[1][i]][i]; - j=wav[i]; - agecens[i]=1.; - - if (ageexmed[i]> 1 && wav[i] > 0){ - agecens[i]=agev[mw[j][i]][i]; - cens[i]= 1; - }else if (ageexmed[i]< 1) - cens[i]= -1; - if (agedc[i]< AGESUP && agedc[i]>1 && dcwave[i]>firstpass && dcwave[i]<=lastpass) - cens[i]=0 ; + ageexmed[i]=agev[mw[1][i]][i]; + j=wav[i]; + agecens[i]=1.; + + if (ageexmed[i]> 1 && wav[i] > 0){ + agecens[i]=agev[mw[j][i]][i]; + cens[i]= 1; + }else if (ageexmed[i]< 1) + cens[i]= -1; + if (agedc[i]< AGESUP && agedc[i]>1 && dcwave[i]>firstpass && dcwave[i]<=lastpass) + cens[i]=0 ; } else cens[i]=-1; } for (i=1;i<=NDIM;i++) { for (j=1;j<=NDIM;j++) - ximort[i][j]=(i == j ? 1.0 : 0.0); + ximort[i][j]=(i == j ? 1.0 : 0.0); } /*p[1]=0.0268; p[NDIM]=0.083;*/ @@ -9086,14 +9978,14 @@ Interval (in months) between two waves: for(i=1; i <=NDIM; i++) for(j=i+1;j<=NDIM;j++) - matcov[i][j]=matcov[j][i]; + matcov[i][j]=matcov[j][i]; printf("\nCovariance matrix\n "); fprintf(ficlog,"\nCovariance matrix\n "); for(i=1; i <=NDIM; i++) { for(j=1;j<=NDIM;j++){ - printf("%f ",matcov[i][j]); - fprintf(ficlog,"%f ",matcov[i][j]); + printf("%f ",matcov[i][j]); + fprintf(ficlog,"%f ",matcov[i][j]); } printf("\n "); fprintf(ficlog,"\n "); } @@ -9134,6 +10026,8 @@ Interval (in months) between two waves: replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ + ageminpar=50; + agemaxpar=100; if(ageminpar == AGEOVERFLOW ||agemaxpar == AGEOVERFLOW){ printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ @@ -9141,8 +10035,11 @@ Please run with mle=-1 to get a correct fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ 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 + }else{ + printf("Warning! ageminpar %f and agemaxpar %f have been fixed because for simplification until it is fixed...\n\n",ageminpar,agemaxpar); + fprintf(ficlog,"Warning! ageminpar %f and agemaxpar %f have been fixed because for simplification until it is fixed...\n\n",ageminpar,agemaxpar); printinggnuplotmort(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); + } printinghtmlmort(fileresu,title,datafile, firstpass, lastpass, \ stepm, weightopt,\ model,imx,p,matcov,agemortsup); @@ -9150,11 +10047,11 @@ Please run with mle=-1 to get a correct free_vector(lsurv,1,AGESUP); free_vector(lpop,1,AGESUP); free_vector(tpop,1,AGESUP); -#ifdef GSL + free_matrix(ximort,1,NDIM,1,NDIM); free_ivector(cens,1,n); free_vector(agecens,1,n); free_ivector(dcwave,1,n); - free_matrix(ximort,1,NDIM,1,NDIM); +#ifdef GSL #endif } /* Endof if mle==-3 mortality only */ /* Standard */ @@ -9183,7 +10080,7 @@ Please run with mle=-1 to get a correct printf("\n"); /*--------- results files --------------*/ - fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model); + fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, weightopt,model); fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); @@ -9229,7 +10126,7 @@ Please run with mle=-1 to get a correct } } } /* end of hesscov and Wald tests */ - + /* */ fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); printf("# Scales (for hessian or gradient estimation)\n"); @@ -9338,18 +10235,18 @@ Please run with mle=-1 to get a correct fflush(ficlog); fflush(ficres); - while(fgets(line, MAXLINE, ficpar)) { - /* If line starts with a # it is a comment */ - if (line[0] == '#') { - numlinepar++; - fputs(line,stdout); - fputs(line,ficparo); - fputs(line,ficlog); - continue; - }else - break; - } - + while(fgets(line, MAXLINE, ficpar)) { + /* If line starts with a # it is a comment */ + if (line[0] == '#') { + numlinepar++; + fputs(line,stdout); + fputs(line,ficparo); + fputs(line,ficlog); + continue; + }else + break; + } + /* while((c=getc(ficpar))=='#' && c!= EOF){ */ /* ungetc(c,ficpar); */ /* fgets(line, MAXLINE, ficpar); */ @@ -9360,17 +10257,17 @@ Please run with mle=-1 to get a correct estepm=0; if((num_filled=sscanf(line,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm, &ftolpl)) !=EOF){ - - if (num_filled != 6) { - printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); - fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); - goto end; + + if (num_filled != 6) { + printf("Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); + fprintf(ficlog,"Error: Not 6 parameters in line, for example:agemin=60 agemax=95 bage=55 fage=95 estepm=24 ftolpl=6e-4\n, your line=%s . Probably you are running an older format.\n",line); + goto end; + } + printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); } - printf("agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%lf\n",ageminpar,agemaxpar, bage, fage, estepm, ftolpl); - } - /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ - /*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ - + /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */ + /*ftolpl=6.e-4;*/ /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */ + /* fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d ftolpl=%\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); */ if (estepm==0 || estepm < stepm) estepm=stepm; if (fage <= 2) { @@ -9381,7 +10278,7 @@ Please run with mle=-1 to get a correct fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n"); fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d, ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); - + /* Other stuffs, more or less useful */ while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); @@ -9438,33 +10335,71 @@ Please run with mle=-1 to get a correct ungetc(c,ficpar); fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj); - fprintf(ficparo,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); - fprintf(ficlog,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); - fprintf(ficres,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); + fprintf(ficparo,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); + fprintf(ficlog,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); + fprintf(ficres,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj); /* day and month of proj2 are not used but only year anproj2.*/ + /* Results */ + while(fgets(line, MAXLINE, ficpar)) { + /* If line starts with a # it is a comment */ + if (line[0] == '#') { + numlinepar++; + fputs(line,stdout); + fputs(line,ficparo); + fputs(line,ficlog); + continue; + }else + break; + } + while((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){ + if (num_filled == 0) + resultline[0]='\0'; + else if (num_filled != 1){ + printf("ERROR %d: result line should be at minimum 'result=' %s\n",num_filled, line); + } + printf("Result %d: result line should be at minimum 'line=' %s, result=%s\n",num_filled, line, resultline); + decoderesult(resultline); + while(fgets(line, MAXLINE, ficpar)) { + /* If line starts with a # it is a comment */ + if (line[0] == '#') { + numlinepar++; + fputs(line,stdout); + fputs(line,ficparo); + fputs(line,ficlog); + continue; + }else + break; + } + if (feof(ficpar)) + break; + else{ /* Processess output results for this combination of covariate values */ + } + } + + - /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */ + /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */ /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */ replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */ if(ageminpar == AGEOVERFLOW ||agemaxpar == -AGEOVERFLOW){ - printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ + printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ 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); - fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ + fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\ 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 + }else{ printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p); - - printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt,\ + } + printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \ jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); - - /*------------ free_vector -------------*/ - /* chdir(path); */ - + + /*------------ free_vector -------------*/ + /* chdir(path); */ + /* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ /* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */ @@ -9475,11 +10410,11 @@ Please run with mle=-1 to get a correct /*free_matrix(covar,1,NCOVMAX,1,n);*/ fclose(ficparo); fclose(ficres); - - + + /* Other results (useful)*/ - - + + /*--------------- Prevalence limit (period or stable prevalence) --------------*/ /*#include "prevlim.h"*/ /* Use ficrespl, ficlog */ prlim=matrix(1,nlstate,1,nlstate); @@ -9490,42 +10425,42 @@ Please run with mle=-1 to get a correct /*#include "hpijx.h"*/ hPijx(p, bage, fage); fclose(ficrespij); - - ncovcombmax= pow(2,cptcoveff); + + /* ncovcombmax= pow(2,cptcoveff); */ /*-------------- Variance of one-step probabilities---*/ k=1; varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); - + /* Prevalence for each covariates in probs[age][status][cov] */ probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); for(i=1;i<=AGESUP;i++) for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */ - for(k=1;k<=ncovcombmax;k++) - probs[i][j][k]=0.; + for(k=1;k<=ncovcombmax;k++) + probs[i][j][k]=0.; prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); if (mobilav!=0 ||mobilavproj !=0 ) { mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); - for(i=1;i<=AGESUP;i++) - for(j=1;j<=nlstate;j++) - for(k=1;k<=ncovcombmax;k++) - mobaverages[i][j][k]=0.; + for(i=1;i<=AGESUP;i++) + for(j=1;j<=nlstate;j++) + for(k=1;k<=ncovcombmax;k++) + mobaverages[i][j][k]=0.; mobaverage=mobaverages; if (mobilav!=0) { - 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); - } + 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 !=0) { - 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); - } + 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); + } } }/* end if moving average */ - + /*---------- Forecasting ------------------*/ /*if((stepm == 1) && (strcmp(model,".")==0)){*/ if(prevfcast==1){ @@ -9574,7 +10509,7 @@ 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); - for (k=1; k <= (int) pow(2,cptcoveff); k++){ + for (k=1; k <= (int) pow(2,cptcoveff); k++){ /* For any combination of dummy covariates, fixed and varying */ fprintf(ficreseij,"\n#****** "); for(j=1;j<=cptcoveff;j++) { fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); @@ -9591,7 +10526,7 @@ Please run with mle=-1 to get a correct printf("done evsij\n");fflush(stdout); fprintf(ficlog,"done evsij\n");fflush(ficlog); - /*---------- Health expectancies and variances ------------*/ + /*---------- State-specific expectancies and variances ------------*/ strcpy(filerest,"T_"); @@ -9607,20 +10542,20 @@ Please run with mle=-1 to get a correct strcpy(fileresstde,"STDE_"); strcat(fileresstde,fileresu); if((ficresstdeij=fopen(fileresstde,"w"))==NULL) { - printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0); - fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0); + printf("Problem with State specific Exp. and std errors resultfile: %s\n", fileresstde); exit(0); + fprintf(ficlog,"Problem with State specific Exp. and std errors resultfile: %s\n", fileresstde); exit(0); } - printf(" Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde); - fprintf(ficlog," Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde); + printf(" Computing State-specific Expectancies and standard errors: result on file '%s' \n", fileresstde); + fprintf(ficlog," Computing State-specific Expectancies and standard errors: result on file '%s' \n", fileresstde); strcpy(filerescve,"CVE_"); strcat(filerescve,fileresu); if((ficrescveij=fopen(filerescve,"w"))==NULL) { - printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0); - fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0); + printf("Problem with Covar. State-specific Exp. resultfile: %s\n", filerescve); exit(0); + fprintf(ficlog,"Problem with Covar. State-specific Exp. resultfile: %s\n", filerescve); exit(0); } - printf(" Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve); - fprintf(ficlog," Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve); + printf(" Computing Covar. of State-specific Expectancies: result on file '%s' \n", filerescve); + fprintf(ficlog," Computing Covar. of State-specific Expectancies: result on file '%s' \n", filerescve); strcpy(fileresv,"V_"); strcat(fileresv,fileresu); @@ -9628,36 +10563,43 @@ Please run with mle=-1 to get a correct printf("Problem with variance resultfile: %s\n", fileresv);exit(0); fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0); } - printf(" Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(stdout); - fprintf(ficlog," Computing Variance-covariance of DFLEs: file '%s' ... ", fileresv);fflush(ficlog); + printf(" Computing Variance-covariance of State-specific Expectancies: file '%s' ... ", fileresv);fflush(stdout); + fprintf(ficlog," Computing Variance-covariance of State-specific Expectancies: file '%s' ... ", fileresv);fflush(ficlog); /*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#****** "); - for(j=1;j<=cptcoveff;j++) - fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog,"\n#****** "); + 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)]); + } fprintf(ficrest,"******\n"); + fprintf(ficlog,"******\n"); + printf("******\n"); fprintf(ficresstdeij,"\n#****** "); fprintf(ficrescveij,"\n#****** "); for(j=1;j<=cptcoveff;j++) { - 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)]); + 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)]); } fprintf(ficresstdeij,"******\n"); fprintf(ficrescveij,"******\n"); fprintf(ficresvij,"\n#****** "); for(j=1;j<=cptcoveff;j++) - fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); fprintf(ficresvij,"******\n"); eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); oldm=oldms;savm=savms; - printf(" cvevsij %d, ",k); - fprintf(ficlog, " cvevsij %d, ",k); + 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(" end cvevsij \n "); fprintf(ficlog, " end cvevsij \n "); @@ -9673,8 +10615,8 @@ Please run with mle=-1 to get a correct for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ oldm=oldms;savm=savms; /* ZZ Segmentation fault */ cptcod= 0; /* To be deleted */ - printf("varevsij %d \n",vpopbased); - fprintf(ficlog, "varevsij %d \n",vpopbased); + 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 */ 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) @@ -9731,23 +10673,12 @@ Please run with mle=-1 to get a correct /*}*/ } /* End k */ - free_vector(weight,1,n); - free_imatrix(Tvard,1,NCOVMAX,1,2); - free_imatrix(s,1,maxwav+1,1,n); - free_matrix(anint,1,maxwav,1,n); - free_matrix(mint,1,maxwav,1,n); - free_ivector(cod,1,n); - free_ivector(tab,1,NCOVMAX); - fclose(ficresstdeij); - fclose(ficrescveij); - fclose(ficresvij); - fclose(ficrest); - printf("done Health expectancies\n");fflush(stdout); - fprintf(ficlog,"done Health expectancies\n");fflush(ficlog); - fclose(ficpar); - - /*------- Variance of period (stable) prevalence------*/ + printf("done State-specific expectancies\n");fflush(stdout); + fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); + + /*------- Variance of period (stable) prevalence------*/ + strcpy(fileresvpl,"VPL_"); strcat(fileresvpl,fileresu); if((ficresvpl=fopen(fileresvpl,"w"))==NULL) { @@ -9756,59 +10687,101 @@ Please run with mle=-1 to get a correct } printf("Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout); fprintf(ficlog, "Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog); - + /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){ for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ - + for (k=1; k <= (int) pow(2,cptcoveff); k++){ - fprintf(ficresvpl,"\n#****** "); - for(j=1;j<=cptcoveff;j++) - fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficresvpl,"******\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); - free_matrix(varpl,1,nlstate,(int) bage, (int)fage); + fprintf(ficresvpl,"\n#****** "); + printf("\n#****** "); + fprintf(ficlog,"\n#****** "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + 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)]); + } + 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); + free_matrix(varpl,1,nlstate,(int) bage, (int)fage); /*}*/ } - + fclose(ficresvpl); printf("done variance-covariance of period prevalence\n");fflush(stdout); fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); - + + free_vector(weight,1,n); + free_imatrix(Tvard,1,NCOVMAX,1,2); + free_imatrix(s,1,maxwav+1,1,n); + free_matrix(anint,1,maxwav,1,n); + free_matrix(mint,1,maxwav,1,n); + free_ivector(cod,1,n); + free_ivector(tab,1,NCOVMAX); + fclose(ficresstdeij); + fclose(ficrescveij); + fclose(ficresvij); + fclose(ficrest); + fclose(ficpar); + + /*---------- End : free ----------------*/ if (mobilav!=0 ||mobilavproj !=0) free_ma3x(mobaverages,1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */ free_ma3x(probs,1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); - } /* mle==-3 arrives here for freeing */ - /* endfree:*/ free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */ free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath); - free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); - free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); - free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); - free_matrix(covar,0,NCOVMAX,1,n); - free_matrix(matcov,1,npar,1,npar); - free_matrix(hess,1,npar,1,npar); - /*free_vector(delti,1,npar);*/ - free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); - free_matrix(agev,1,maxwav,1,imx); - free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); - - free_ivector(ncodemax,1,NCOVMAX); - free_ivector(ncodemaxwundef,1,NCOVMAX); - free_ivector(Tvar,1,NCOVMAX); - free_ivector(Tprod,1,NCOVMAX); - free_ivector(Tvaraff,1,NCOVMAX); - free_ivector(Tage,1,NCOVMAX); - - free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); - /* free_imatrix(codtab,1,100,1,10); */ + } /* mle==-3 arrives here for freeing */ + /* endfree:*/ + free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath); + free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath); + free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath); + free_ma3x(cotqvar,1,maxwav,1,nqtv,1,n); + free_ma3x(cotvar,1,maxwav,1,ntv,1,n); + free_matrix(coqvar,1,maxwav,1,n); + free_matrix(covar,0,NCOVMAX,1,n); + free_matrix(matcov,1,npar,1,npar); + free_matrix(hess,1,npar,1,npar); + /*free_vector(delti,1,npar);*/ + free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); + free_matrix(agev,1,maxwav,1,imx); + free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); + + free_ivector(ncodemax,1,NCOVMAX); + free_ivector(ncodemaxwundef,1,NCOVMAX); + free_ivector(Dummy,-1,NCOVMAX); + free_ivector(Fixed,-1,NCOVMAX); + free_ivector(Typevar,-1,NCOVMAX); + free_ivector(Tvar,1,NCOVMAX); + free_ivector(TvarFD,1,NCOVMAX); + free_ivector(TvarFDind,1,NCOVMAX); + free_ivector(TvarFQ,1,NCOVMAX); + free_ivector(TvarFQind,1,NCOVMAX); + free_ivector(TvarVD,1,NCOVMAX); + free_ivector(TvarVDind,1,NCOVMAX); + free_ivector(TvarVQ,1,NCOVMAX); + free_ivector(TvarVQind,1,NCOVMAX); + free_ivector(Tvarsel,1,NCOVMAX); + free_vector(Tvalsel,1,NCOVMAX); + free_ivector(Tposprod,1,NCOVMAX); + free_ivector(Tprod,1,NCOVMAX); + free_ivector(Tvaraff,1,NCOVMAX); + free_ivector(invalidvarcomb,1,ncovcombmax); + free_ivector(Tage,1,NCOVMAX); + free_ivector(Tmodelind,1,NCOVMAX); + free_ivector(TmodelInvind,1,NCOVMAX); + free_ivector(TmodelInvQind,1,NCOVMAX); + + free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX); + /* free_imatrix(codtab,1,100,1,10); */ fflush(fichtm); fflush(ficgp); - + if((nberr >0) || (nbwarn>0)){ printf("End of Imach with %d errors and/or %d warnings. Please look at the log file for details.\n",nberr,nbwarn); fprintf(ficlog,"End of Imach with %d errors and/or warnings %d. Please look at the log file for details.\n",nberr,nbwarn); @@ -9826,7 +10799,7 @@ Please run with mle=-1 to get a correct printf("Local time at start %s\nLocal time at end %s",strstart, strtend); fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend); printf("Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout)); - + printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time)); fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout)); fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time)); @@ -9839,17 +10812,17 @@ Please run with mle=-1 to get a correct fclose(ficgp); fclose(ficlog); /*------ End -----------*/ - - - printf("Before Current directory %s!\n",pathcd); + + + printf("Before Current directory %s!\n",pathcd); #ifdef WIN32 - if (_chdir(pathcd) != 0) - printf("Can't move to directory %s!\n",path); - if(_getcwd(pathcd,MAXLINE) > 0) + if (_chdir(pathcd) != 0) + printf("Can't move to directory %s!\n",path); + if(_getcwd(pathcd,MAXLINE) > 0) #else - if(chdir(pathcd) != 0) - printf("Can't move to directory %s!\n", path); - if (getcwd(pathcd, MAXLINE) > 0) + if(chdir(pathcd) != 0) + printf("Can't move to directory %s!\n", path); + if (getcwd(pathcd, MAXLINE) > 0) #endif printf("Current directory %s!\n",pathcd); /*strcat(plotcmd,CHARSEPARATOR);*/ @@ -9875,7 +10848,7 @@ Please run with mle=-1 to get a correct sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot); printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout); - + if((outcmd=system(plotcmd)) != 0){ printf("gnuplot command might not be in your path: '%s', err=%d\n", plotcmd, outcmd); printf("\n Trying if gnuplot resides on the same directory that IMaCh\n"); @@ -9903,7 +10876,7 @@ Please run with mle=-1 to get a correct else if (z[0] == 'g') system(plotcmd); else if (z[0] == 'q') exit(0); } - end: +end: while (z[0] != 'q') { printf("\nType q for exiting: "); fflush(stdout); scanf("%s",z);