--- imach/src/imach.c 2015/12/16 06:57:54 1.214 +++ imach/src/imach.c 2018/04/19 14:49:16 1.283 @@ -1,6 +1,218 @@ -/* $Id: imach.c,v 1.214 2015/12/16 06:57:54 brouard Exp $ +/* $Id: imach.c,v 1.283 2018/04/19 14:49:16 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + Revision 1.283 2018/04/19 14:49:16 brouard + Summary: Some minor bugs fixed + + Revision 1.282 2018/02/27 22:50:02 brouard + *** empty log message *** + + Revision 1.281 2018/02/27 19:25:23 brouard + Summary: Adding second argument for quitting + + Revision 1.280 2018/02/21 07:58:13 brouard + Summary: 0.99r15 + + New Makefile with recent VirtualBox 5.26. Bug in sqrt negatve in imach.c + + Revision 1.279 2017/07/20 13:35:01 brouard + Summary: temporary working + + Revision 1.278 2017/07/19 14:09:02 brouard + Summary: Bug for mobil_average=0 and prevforecast fixed(?) + + Revision 1.277 2017/07/17 08:53:49 brouard + Summary: BOM files can be read now + + Revision 1.276 2017/06/30 15:48:31 brouard + Summary: Graphs improvements + + Revision 1.275 2017/06/30 13:39:33 brouard + Summary: Saito's color + + Revision 1.274 2017/06/29 09:47:08 brouard + Summary: Version 0.99r14 + + Revision 1.273 2017/06/27 11:06:02 brouard + Summary: More documentation on projections + + Revision 1.272 2017/06/27 10:22:40 brouard + Summary: Color of backprojection changed from 6 to 5(yellow) + + Revision 1.271 2017/06/27 10:17:50 brouard + Summary: Some bug with rint + + Revision 1.270 2017/05/24 05:45:29 brouard + *** empty log message *** + + Revision 1.269 2017/05/23 08:39:25 brouard + Summary: Code into subroutine, cleanings + + Revision 1.268 2017/05/18 20:09:32 brouard + Summary: backprojection and confidence intervals of backprevalence + + Revision 1.267 2017/05/13 10:25:05 brouard + Summary: temporary save for backprojection + + Revision 1.266 2017/05/13 07:26:12 brouard + Summary: Version 0.99r13 (improvements and bugs fixed) + + Revision 1.265 2017/04/26 16:22:11 brouard + Summary: imach 0.99r13 Some bugs fixed + + Revision 1.264 2017/04/26 06:01:29 brouard + Summary: Labels in graphs + + Revision 1.263 2017/04/24 15:23:15 brouard + Summary: to save + + Revision 1.262 2017/04/18 16:48:12 brouard + *** empty log message *** + + Revision 1.261 2017/04/05 10:14:09 brouard + Summary: Bug in E_ as well as in T_ fixed nres-1 vs k1-1 + + Revision 1.260 2017/04/04 17:46:59 brouard + Summary: Gnuplot indexations fixed (humm) + + Revision 1.259 2017/04/04 13:01:16 brouard + Summary: Some errors to warnings only if date of death is unknown but status is death we could set to pi3 + + Revision 1.258 2017/04/03 10:17:47 brouard + Summary: Version 0.99r12 + + Some cleanings, conformed with updated documentation. + + Revision 1.257 2017/03/29 16:53:30 brouard + Summary: Temp + + Revision 1.256 2017/03/27 05:50:23 brouard + Summary: Temporary + + Revision 1.255 2017/03/08 16:02:28 brouard + Summary: IMaCh version 0.99r10 bugs in gnuplot fixed + + Revision 1.254 2017/03/08 07:13:00 brouard + Summary: Fixing data parameter line + + Revision 1.253 2016/12/15 11:59:41 brouard + Summary: 0.99 in progress + + Revision 1.252 2016/09/15 21:15:37 brouard + *** empty log message *** + + Revision 1.251 2016/09/15 15:01:13 brouard + Summary: not working + + Revision 1.250 2016/09/08 16:07:27 brouard + Summary: continue + + Revision 1.249 2016/09/07 17:14:18 brouard + Summary: Starting values from frequencies + + Revision 1.248 2016/09/07 14:10:18 brouard + *** empty log message *** + + Revision 1.247 2016/09/02 11:11:21 brouard + *** empty log message *** + + Revision 1.246 2016/09/02 08:49:22 brouard + *** empty log message *** + + Revision 1.245 2016/09/02 07:25:01 brouard + *** empty log message *** + + Revision 1.244 2016/09/02 07:17:34 brouard + *** empty log message *** + + Revision 1.243 2016/09/02 06:45:35 brouard + *** empty log message *** + + Revision 1.242 2016/08/30 15:01:20 brouard + Summary: Fixing a lots + + Revision 1.241 2016/08/29 17:17:25 brouard + Summary: gnuplot problem in Back projection to fix + + Revision 1.240 2016/08/29 07:53:18 brouard + Summary: Better + + Revision 1.239 2016/08/26 15:51:03 brouard + Summary: Improvement in Powell output in order to copy and paste + + Author: + + Revision 1.238 2016/08/26 14:23:35 brouard + Summary: Starting tests of 0.99 + + Revision 1.237 2016/08/26 09:20:19 brouard + Summary: to valgrind + + Revision 1.236 2016/08/25 10:50:18 brouard + *** empty log message *** + + Revision 1.235 2016/08/25 06:59:23 brouard + *** empty log message *** + + Revision 1.234 2016/08/23 16:51:20 brouard + *** empty log message *** + + Revision 1.233 2016/08/23 07:40:50 brouard + Summary: not working + + Revision 1.232 2016/08/22 14:20:21 brouard + Summary: not working + + Revision 1.231 2016/08/22 07:17:15 brouard + Summary: not working + + Revision 1.230 2016/08/22 06:55:53 brouard + Summary: Not working + + 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 *** + + Revision 1.218 2016/02/12 11:29:23 brouard + Summary: 0.99 Back projections + + Revision 1.217 2015/12/23 17:18:31 brouard + Summary: Experimental backcast + + Revision 1.216 2015/12/18 17:32:11 brouard + Summary: 0.98r4 Warning and status=-2 + + Version 0.98r4 is now: + - displaying an error when status is -1, date of interview unknown and date of death known; + - permitting a status -2 when the vital status is unknown at a known date of right truncation. + Older changes concerning s=-2, dating from 2005 have been supersed. + + Revision 1.215 2015/12/16 08:52:24 brouard + Summary: 0.98r4 working + Revision 1.214 2015/12/16 06:57:54 brouard Summary: temporary not working @@ -16,9 +228,7 @@ Author: Nicolas Brouard Revision 1.210 2015/11/18 17:41:20 brouard - Summary: Start working on projected prevalences - - Revision 1.209 2015/11/17 22:12:03 brouard + Summary: Start working on projected prevalences Revision 1.209 2015/11/17 22:12:03 brouard Summary: Adding ftolpl parameter Author: N Brouard @@ -601,24 +811,27 @@ 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 @@ -637,7 +850,55 @@ hPijx. Also this programme outputs the covariance matrix of the parameters but also - of the life expectancies. It also computes the period (stable) prevalence. + 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 + 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, nres); + 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); + +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. @@ -699,9 +960,9 @@ /* #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 *\/ */ @@ -709,6 +970,7 @@ #include #include #include +#include #ifdef _WIN32 #include @@ -754,7 +1016,7 @@ typedef struct { /* #include */ /* #define _(String) gettext (String) */ -#define MAXLINE 1024 /* Was 256. Overflow with 312 with 2 states and 4 covariates. Should be ok */ +#define MAXLINE 2048 /* Was 256 and 1024. Overflow with 312 with 2 states and 4 covariates. Should be ok */ #define GNUPLOTPROGRAM "gnuplot" /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ @@ -775,7 +1037,10 @@ typedef struct { #define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 #define MAXN 20000 #define YEARM 12. /**< Number of months per year */ -#define AGESUP 130 +/* #define AGESUP 130 */ +#define AGESUP 150 +#define AGEINF 0 +#define AGEMARGE 25 /* Marge for agemin and agemax for(iage=agemin-AGEMARGE; iage <= agemax+3+AGEMARGE; iage++) */ #define AGEBASE 40 #define AGEOVERFLOW 1.e20 #define AGEGOMP 10 /**< Minimal age for Gompertz adjustment */ @@ -789,12 +1054,12 @@ typedef struct { #define ODIRSEPARATOR '\\' #endif -/* $Id: imach.c,v 1.214 2015/12/16 06:57:54 brouard Exp $ */ +/* $Id: imach.c,v 1.283 2018/04/19 14:49:16 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: 1.214 $ $Date: 2015/12/16 06:57:54 $"; +char copyright[]="April 2018,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2018"; +char fullversion[]="$Revision: 1.283 $ $Date: 2018/04/19 14:49:16 $"; char strstart[80]; char optionfilext[10], optionfilefiname[FILENAMELENGTH]; int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ @@ -802,15 +1067,27 @@ 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 ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */ +int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */ +int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */ +int nsd=0; /**< Total number of single dummy variables (output) */ +int nsq=0; /**< Total number of single quantitative variables (output) */ +int ncoveff=0; /* Total number of effective fixed dummy covariates in the model */ +int nqfveff=0; /**< nqfveff Number of Quantitative Fixed Variables Effective */ +int ntveff=0; /**< ntveff number of effective time varying variables */ +int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */ 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 */ @@ -825,12 +1102,16 @@ 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 */ double **oldms, **newms, **savms; /* Fixed working pointers to matrices */ +double **ddnewms, **ddoldms, **ddsavms; /* for freeing later */ + /*FILE *fic ; */ /* Used in readdata only */ -FILE *ficpar, *ficparo,*ficres, *ficresp, *ficresphtm, *ficresphtmfr, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop; +FILE *ficpar, *ficparo,*ficres, *ficresp, *ficresphtm, *ficresphtmfr, *ficrespl, *ficresplb,*ficrespij, *ficrespijb, *ficrest,*ficresf, *ficresfb,*ficrespop; FILE *ficlog, *ficrespow; int globpr=0; /* Global variable for printing or not */ double fretone; /* Only one call to likelihood */ @@ -850,16 +1131,16 @@ FILE *ficrescveij; char filerescve[FILENAMELENGTH]; FILE *ficresvij; char fileresv[FILENAMELENGTH]; -FILE *ficresvpl; -char fileresvpl[FILENAMELENGTH]; + char title[MAXLINE]; -char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH]; +char model[MAXLINE]; /**< The model line */ +char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH], fileresplb[FILENAMELENGTH]; char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH]; char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH]; char command[FILENAMELENGTH]; int outcmd=0; -char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH]; +char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filerespijb[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH]; char fileresu[FILENAMELENGTH]; /* fileres without r in front */ char filelog[FILENAMELENGTH]; /* Log file */ char filerest[FILENAMELENGTH]; @@ -890,7 +1171,8 @@ double dval; #define FTOL 1.0e-10 #define NRANSI -#define ITMAX 200 +#define ITMAX 200 +#define ITPOWMAX 20 /* This is now multiplied by the number of parameters */ #define TOL 2.0e-4 @@ -936,7 +1218,8 @@ int *ncodemaxwundef; /* ncodemax[j]= Nu covariate for which somebody answered including undefined. Usually 3: -1, 0 and 1. */ double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; -double **pmmij, ***probs; +double **pmmij, ***probs; /* Global pointer */ +double ***mobaverage, ***mobaverages; /* New global variable */ double *ageexmed,*agecens; double dateintmean=0; @@ -946,14 +1229,111 @@ 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 nqv */ +double ***cotvar; /* Time varying covariate ntv */ +double ***cotqvar; /* Time varying quantitative covariate itqv */ double idx; int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */ +/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +/*k 1 2 3 4 5 6 7 8 9 */ +/*Tvar[k]= 5 4 3 6 5 2 7 1 1 */ +/* Tndvar[k] 1 2 3 4 5 */ +/*TDvar 4 3 6 7 1 */ /* For outputs only; combination of dummies fixed or varying */ +/* Tns[k] 1 2 2 4 5 */ /* Number of single cova */ +/* TvarsD[k] 1 2 3 */ /* Number of single dummy cova */ +/* TvarsDind 2 3 9 */ /* position K of single dummy cova */ +/* TvarsQ[k] 1 2 */ /* Number of single quantitative cova */ +/* TvarsQind 1 6 */ /* position K of single quantitative cova */ +/* Tprod[i]=k 4 7 */ +/* Tage[i]=k 5 8 */ +/* */ +/* Type */ +/* V 1 2 3 4 5 */ +/* F F V V V */ +/* D Q D D Q */ +/* */ +int *TvarsD; +int *TvarsDind; +int *TvarsQ; +int *TvarsQind; + +#define MAXRESULTLINES 10 +int nresult=0; +int parameterline=0; /* # of the parameter (type) line */ +int TKresult[MAXRESULTLINES]; +int Tresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ +int Tinvresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */ +int Tvresult[MAXRESULTLINES][NCOVMAX]; /* For dummy variable , variable # (output) */ +double Tqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ +double Tqinvresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */ +int Tvqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , variable # (output) */ + +/* int *TDvar; /\**< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */ +int *TvarF; /**< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFind; /**< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarV; /**< TvarV[1]=Tvar[1]=5, TvarV[2]=Tvar[2]=4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarVind; /**< TvarVind[1]=1, TvarVind[2]=2 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarA; /**< TvarA[1]=Tvar[5]=5, TvarA[2]=Tvar[8]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarAind; /**< TvarindA[1]=5, TvarAind[2]=8 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFD; /**< TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFDind; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ +int *TvarFQ; /* TvarFQ[1]=V2 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarFQind; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVD; /* TvarVD[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVDind; /* TvarVDind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ +int *TvarVQ; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ +int *TvarVQind; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + +int *Tvarsel; /**< Selected covariates for output */ +double *Tvalsel; /**< Selected modality value of covariate for output */ +int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */ +int *Fixed; /** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */ +int *Dummy; /** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */ +int *DummyV; /** Dummy[v] 0=dummy (0 1), 1 quantitative */ +int *FixedV; /** FixedV[v] 0 fixed, 1 varying */ int *Tage; +int anyvaryingduminmodel=0; /**< Any varying dummy in Model=1 yes, 0 no, to avoid a loop on waves in freq */ +int *Tmodelind; /** Tmodelind[Tvaraff[3]]=9 for V1 position,Tvaraff[1]@9={4, 3, 1, 0, 0, 0, 0, 0, 0}, model=V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1*/ +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 */ +/* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3 */ +int *Tposprod; /**< Gives the k1 product from the k position */ + /* if V2+V1+V1*V4+age*V3+V3*V2 TProd[k1=2]=5 (V3*V2) */ + /* Tposprod[k]=k1 , Tposprod[3]=1, Tposprod[5(V3*V2)]=2 (2nd product without age) */ +int cptcovprod, *Tvaraff, *invalidvarcomb; double *lsurv, *lpop, *tpop; +#define FD 1; /* Fixed dummy covariate */ +#define FQ 2; /* Fixed quantitative covariate */ +#define FP 3; /* Fixed product covariate */ +#define FPDD 7; /* Fixed product dummy*dummy covariate */ +#define FPDQ 8; /* Fixed product dummy*quantitative covariate */ +#define FPQQ 9; /* Fixed product quantitative*quantitative covariate */ +#define VD 10; /* Varying dummy covariate */ +#define VQ 11; /* Varying quantitative covariate */ +#define VP 12; /* Varying product covariate */ +#define VPDD 13; /* Varying product dummy*dummy covariate */ +#define VPDQ 14; /* Varying product dummy*quantitative covariate */ +#define VPQQ 15; /* Varying product quantitative*quantitative covariate */ +#define APFD 16; /* Age product * fixed dummy covariate */ +#define APFQ 17; /* Age product * fixed quantitative covariate */ +#define APVD 18; /* Age product * varying dummy covariate */ +#define APVQ 19; /* Age product * varying quantitative covariate */ + +#define FTYPE 1; /* Fixed covariate */ +#define VTYPE 2; /* Varying covariate (loop in wave) */ +#define ATYPE 2; /* Age product covariate (loop in dh within wave)*/ + +struct kmodel{ + int maintype; /* main type */ + int subtype; /* subtype */ +}; +struct kmodel modell[NCOVMAX]; + double ftol=FTOL; /**< Tolerance for computing Max Likelihood */ double ftolhess; /**< Tolerance for computing hessian */ @@ -1149,7 +1529,7 @@ int nbocc(char *s, char occ) i=0; lg=strlen(s); for(i=0; i<= lg; i++) { - if (s[i] == occ ) j++; + if (s[i] == occ ) j++; } return j; } @@ -1493,12 +1873,12 @@ 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)); @@ -1512,13 +1892,13 @@ 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; } } } @@ -1559,12 +1939,12 @@ 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 */ @@ -1575,8 +1955,8 @@ 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) */ @@ -1609,9 +1989,12 @@ 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; @@ -1622,38 +2005,45 @@ 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) */ } @@ -1668,7 +2058,11 @@ 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); @@ -1712,28 +2106,41 @@ 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 "); @@ -1783,17 +2190,33 @@ 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 [])); - int i,ibig,j; +#else + void linmin(double p[], double xi[], int n, double *fret, + double (*func)(double []),int *flat); +#endif + int i,ibig,j,jk,k; 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); @@ -1814,14 +2237,47 @@ void powell(double p[], double **xi, int fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); /* fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */ for (i=1;i<=n;i++) { - printf(" %d %.12f",i, p[i]); - fprintf(ficlog," %d %.12lf",i, p[i]); fprintf(ficrespow," %.12lf", p[i]); } + fprintf(ficrespow,"\n");fflush(ficrespow); + printf("\n#model= 1 + age "); + fprintf(ficlog,"\n#model= 1 + age "); + if(nagesqr==1){ + printf(" + age*age "); + fprintf(ficlog," + age*age "); + } + for(j=1;j <=ncovmodel-2;j++){ + if(Typevar[j]==0) { + printf(" + V%d ",Tvar[j]); + fprintf(ficlog," + V%d ",Tvar[j]); + }else if(Typevar[j]==1) { + printf(" + V%d*age ",Tvar[j]); + fprintf(ficlog," + V%d*age ",Tvar[j]); + }else if(Typevar[j]==2) { + printf(" + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); + fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]); + } + } printf("\n"); +/* printf("12 47.0114589 0.0154322 33.2424412 0.3279905 2.3731903 */ +/* 13 -21.5392400 0.1118147 1.2680506 1.2973408 -1.0663662 */ fprintf(ficlog,"\n"); - fprintf(ficrespow,"\n");fflush(ficrespow); - if(*iter <=3){ + for(i=1,jk=1; i <=nlstate; i++){ + for(k=1; k <=(nlstate+ndeath); k++){ + if (k != i) { + printf("%d%d ",i,k); + fprintf(ficlog,"%d%d ",i,k); + for(j=1; j <=ncovmodel; j++){ + printf("%12.7f ",p[jk]); + fprintf(ficlog,"%12.7f ",p[jk]); + jk++; + } + printf("\n"); + fprintf(ficlog,"\n"); + } + } + } + if(*iter <=3 && *iter >1){ tml = *localtime(&rcurr_time); strcpy(strcurr,asctime(&tml)); rforecast_time=rcurr_time; @@ -1836,7 +2292,7 @@ void powell(double p[], double **xi, int strcpy(strfor,asctime(&forecast_time)); itmp = strlen(strfor); if(strfor[itmp-1]=='\n') - strfor[itmp-1]='\0'; + strfor[itmp-1]='\0'; printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr); 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); } @@ -1850,27 +2306,32 @@ 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"); @@ -1879,7 +2340,16 @@ 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) */ - if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /* Did we reach enough precision? */ + 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? *\/ */ + if (2.0*fabs(fp-(*fret)) <= ftol) { /* Did we reach enough precision? */ /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */ /* By adding age*age in a model, the new -2LL should be lower and the difference follows a */ /* a chisquare statistics with 1 degree. To be significant at the 95% level, it should have */ @@ -1887,7 +2357,7 @@ 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 */ @@ -1915,21 +2385,28 @@ 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); free_vector(pt,1,n); return; } /* enough precision */ - if (*iter == ITMAX) nrerror("powell exceeding maximum iterations."); + if (*iter == ITMAX*n) nrerror("powell exceeding maximum iterations."); for (j=1;j<=n;j++) { /* Computes the extrapolated point P_0 + 2 (P_n-P_0) */ ptt[j]=2.0*p[j]-pt[j]; xit[j]=p[j]-pt[j]; 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 @@ -1961,16 +2446,16 @@ 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++) { + 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){ @@ -1979,7 +2464,13 @@ void powell(double p[], double **xi, int } } #endif +#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 + #ifdef DEBUGLINMIN for (j=1;j<=n;j++) { printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]); @@ -1994,38 +2485,66 @@ void powell(double p[], double **xi, int 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: ",flatd); + fprintf(ficlog,"%d flat directions :",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(" %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 - } /* end if (fptt < fp) */ #endif - } /* loop iteration */ + } /* loop iteration */ } - + /**** Prevalence limit (stable or period prevalence) ****************/ - -double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij) -{ - /* Computes the prevalence limit in each live state at age x by left multiplying the unit - matrix by transitions matrix until convergence is reached with precision ftolpl */ - /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ - /* Wx is row vector: population in state 1, population in state 2, population dead */ - /* or prevalence in state 1, prevalence in state 2, 0 */ - /* newm is the matrix after multiplications, its rows are identical at a factor */ - /* Initial matrix pimij */ + + double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres) + { + /**< Computes the prevalence limit in each live state at age x and for covariate combination ij + * (and selected quantitative values in nres) + * by left multiplying the unit + * matrix by transitions matrix until convergence is reached with precision ftolpl + * Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I + * Wx is row vector: population in state 1, population in state 2, population dead + * or prevalence in state 1, prevalence in state 2, 0 + * newm is the matrix after multiplications, its rows are identical at a factor. + * Inputs are the parameter, age, a tolerance for the prevalence limit ftolpl. + * Output is prlim. + * Initial matrix pimij + */ /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */ /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */ /* 0, 0 , 1} */ @@ -2038,11 +2557,11 @@ double **prevalim(double **prlim, int nl /* {0.51571254859325999, 0.4842874514067399, */ /* 0.51326036147820708, 0.48673963852179264} */ /* If we start from prlim again, prlim tends to a constant matrix */ - + int i, ii,j,k; double *min, *max, *meandiff, maxmax,sumnew=0.; /* double **matprod2(); */ /* test */ - double **out, cov[NCOVMAX+1], **pmij(); + double **out, cov[NCOVMAX+1], **pmij(); /* **pmmij is a global variable feeded with oldms etc */ double **newm; double agefin, delaymax=200. ; /* 100 Max number of years to converge */ int ncvloop=0; @@ -2051,6 +2570,7 @@ double **prevalim(double **prlim, int nl max=vector(1,nlstate); meandiff=vector(1,nlstate); + /* Starting with matrix unity */ for (ii=1;ii<=nlstate+ndeath;ii++) for (j=1;j<=nlstate+ndeath;j++){ oldm[ii][j]=(ii==j ? 1.0 : 0.0); @@ -2067,23 +2587,46 @@ double **prevalim(double **prlim, int nl cov[2]=agefin; if(nagesqr==1) cov[3]= agefin*agefin;; - for (k=1; k<=cptcovn;k++) { - /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */ - cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; - /* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); */ - } - /*wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */ - /* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */ - for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2]; - for (k=1; k<=cptcovprod;k++) /* Useless */ - /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */ - cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; - + for (k=1; k<=nsd;k++) { /* For single dummy covariates only */ + /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */ + cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)]; + /* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */ + } + for (k=1; k<=nsq;k++) { /* For single varying covariates only */ + /* Here comes the value of quantitative after renumbering k with single quantitative covariates */ + cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; + /* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */ + } + for (k=1; k<=cptcovage;k++){ /* For product with age */ + if(Dummy[Tvar[Tage[k]]]){ + cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; + } else{ + cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; + } + /* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */ + } + for (k=1; k<=cptcovprod;k++){ /* For product without age */ + /* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */ + if(Dummy[Tvard[k][1]==0]){ + if(Dummy[Tvard[k][2]==0]){ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; + }else{ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; + } + }else{ + if(Dummy[Tvard[k][2]==0]){ + cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; + }else{ + cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; + } + } + } /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */ /* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind *\/ */ + /* age and covariate values of ij are in 'cov' */ out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */ savm=oldm; @@ -2130,89 +2673,463 @@ Earliest age to start was %d-%d=%d, ncvl return prlim; /* should not reach here */ } -/*************** transition probabilities ***************/ -double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate ) + /**** Back Prevalence limit (stable or period prevalence) ****************/ + + /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ageminpar, double agemaxpar, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */ + /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */ + double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ftolpl, int *ncvyear, int ij, int nres) { - /* According to parameters values stored in x and the covariate's values stored in cov, - computes the probability to be observed in state j being in state i by appying the - model to the ncovmodel covariates (including constant and age). - lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc] - and, according on how parameters are entered, the position of the coefficient xij(nc) of the - ncth covariate in the global vector x is given by the formula: - j=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel - Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation, - sums on j different of i to get 1-pii/pii, deduces pii, and then all pij. - Outputs ps[i][j] the probability to be observed in j being in j according to - the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij] - */ - double s1, lnpijopii; - /*double t34;*/ - int i,j, nc, ii, jj; + /* Computes the prevalence limit in each live state at age x and for covariate combination ij (<=2**cptcoveff) by left multiplying the unit + matrix by transitions matrix until convergence is reached with precision ftolpl */ + /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */ + /* Wx is row vector: population in state 1, population in state 2, population dead */ + /* or prevalence in state 1, prevalence in state 2, 0 */ + /* newm is the matrix after multiplications, its rows are identical at a factor */ + /* Initial matrix pimij */ + /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */ + /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */ + /* 0, 0 , 1} */ + /* + * and after some iteration: */ + /* {0.45504275246439968, 0.42731458730878791, 0.11764266022681241, */ + /* 0.45201005341706885, 0.42865420071559901, 0.11933574586733192, */ + /* 0, 0 , 1} */ + /* And prevalence by suppressing the deaths are close to identical rows in prlim: */ + /* {0.51571254859325999, 0.4842874514067399, */ + /* 0.51326036147820708, 0.48673963852179264} */ + /* If we start from prlim again, prlim tends to a constant matrix */ - 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; j ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. Others in log file only...\n\ +Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear); + } + fprintf(ficlog,"Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\ +Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear); + /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */ + free_vector(min,1,nlstate); + free_vector(max,1,nlstate); + free_vector(meandiff,1,nlstate); + + return bprlim; /* should not reach here */ +} + +/*************** transition probabilities ***************/ + +double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate ) +{ + /* According to parameters values stored in x and the covariate's values stored in cov, + computes the probability to be observed in state j (after stepm years) being in state i by appying the + model to the ncovmodel covariates (including constant and age). + lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc] + and, according on how parameters are entered, the position of the coefficient xij(nc) of the + ncth covariate in the global vector x is given by the formula: + j=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel + Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation, + sums on j different of i to get 1-pii/pii, deduces pii, and then all pij. + Outputs ps[i][j] or probability to be observed in j being in i according to + the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij] + Sum on j ps[i][j] should equal to 1. + */ + double s1, lnpijopii; + /*double t34;*/ + int i,j, nc, ii, jj; + + for(i=1; i<= nlstate; i++){ + for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ + } + ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ + } + } + + for(i=1; i<= nlstate; i++){ + s1=0; + for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ + ps[i][i]=1./(s1+1.); + /* Computing other pijs */ + for(j=1; j0.01){ /* At least some value in the prevalence */ + for (ii=1;ii<=nlstate+ndeath;ii++){ + for (j=1;j<=nlstate+ndeath;j++) + doldm[ii][j]=(ii==j ? prevacurrent[(int)agefin][ii][ij]/sumnew : 0.0); + } + }else{ + for (ii=1;ii<=nlstate+ndeath;ii++){ + for (j=1;j<=nlstate+ndeath;j++) + doldm[ii][j]=(ii==j ? 1./nlstate : 0.0); + } + /* if(sumnew <0.9){ */ + /* printf("Problem internal bmij B: sum on i wi <0.9: j=%d, sum_i wi=%lf,agefin=%d\n",j,sumnew, (int)agefin); */ + /* } */ + } + k3=0.0; /* We put the last diagonal to 0 */ + for (ii=nlstate+1;ii<=nlstate+ndeath;ii++){ + doldm[ii][ii]= k3; + } + /* End doldm, At the end doldm is diag[(w_i)] */ + + /* left Product of this diag matrix by pmmij=Px (dnewm=dsavm*doldm) */ + bbmij=matprod2(dnewm, doldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, pmmij); /* Bug Valgrind */ + + /* Diag(Sum_i w^i_x p^ij_x */ + /* w1 p11 + w2 p21 only on live states N1./N..*N11/N1. + N2./N..*N21/N2.=(N11+N21)/N..=N.1/N.. */ + for (j=1;j<=nlstate+ndeath;j++){ + sumnew=0.; + for (ii=1;ii<=nlstate;ii++){ + /* sumnew+=dsavm[ii][j]*prevacurrent[(int)agefin][ii][ij]; */ + sumnew+=pmmij[ii][j]*doldm[ii][ii]; /* Yes prevalence at beginning of transition */ + } /* sumnew is (N11+N21)/N..= N.1/N.. = sum on i of w_i pij */ + for (ii=1;ii<=nlstate+ndeath;ii++){ + /* if(agefin >= agemaxpar && agefin <= agemaxpar+stepm/YEARM){ */ + /* dsavm[ii][j]=(ii==j ? 1./sumnew : 0.0); */ + /* }else if(agefin >= agemaxpar+stepm/YEARM){ */ + /* dsavm[ii][j]=(ii==j ? 1./sumnew : 0.0); */ + /* }else */ + dsavm[ii][j]=(ii==j ? 1./sumnew : 0.0); + } /*End ii */ + } /* End j, At the end dsavm is diag[1/(w_1p1i+w_2 p2i)] for ALL states even if the sum is only for live states */ + + ps=matprod2(ps, dnewm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dsavm); /* Bug Valgrind */ + /* ps is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */ + /* end bmij */ + return ps; /*pointer is unchanged */ +} +/*************** transition probabilities ***************/ + +double **bpmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate ) +{ + /* According to parameters values stored in x and the covariate's values stored in cov, + computes the probability to be observed in state j being in state i by appying the + model to the ncovmodel covariates (including constant and age). + lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc] + and, according on how parameters are entered, the position of the coefficient xij(nc) of the + ncth covariate in the global vector x is given by the formula: + j=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel + Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation, + sums on j different of i to get 1-pii/pii, deduces pii, and then all pij. + Outputs ps[i][j] the probability to be observed in j being in j according to + the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij] + */ + double s1, lnpijopii; + /*double t34;*/ + int i,j, nc, ii, jj; + + for(i=1; i<= nlstate; i++){ + for(j=1; ji s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */ + } + ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */ + } + } + + for(i=1; i<= nlstate; i++){ + s1=0; + for(j=1; ji} pij/pii=(1-pii)/pii and thus pii is known from s1 */ + ps[i][i]=1./(s1+1.); + /* Computing other pijs */ + for(j=1; j 1 the results are less biased than in previous versions. - */ + * from savm to out if bh is negative or even beyond if bh is positive. bh varies + * -stepm/2 to stepm/2 . + * For stepm=1 the results are the same as for previous versions of Imach. + * For stepm > 1 the results are less biased than in previous versions. + */ s1=s[mw[mi][i]][i]; s2=s[mw[mi+1][i]][i]; bbh=(double)bh[mi][i]/(double)stepm; @@ -2406,35 +3478,35 @@ double func( double *x) 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. + 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. */ - /* 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 */ @@ -2443,27 +3515,24 @@ double func( double *x) /* else */ /* lli=log(out[s1][s2] - savm[s1][s2]); */ /* #endif */ - lli=log(out[s1][s2] - savm[s1][s2]); - - } else if (s2==-2) { + lli=log(out[s1][s2] - savm[s1][s2]); + + } else if ( s2==-1 ) { /* alive */ for (j=1,survp=0. ; j<=nlstate; j++) survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; /*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 */ @@ -2471,7 +3540,7 @@ 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)){ */ @@ -2575,6 +3644,10 @@ double func( double *x) s2=s[mw[mi+1][i]][i]; if( s2 > nlstate){ lli=log(out[s1][s2] - savm[s1][s2]); + } else if ( s2==-1 ) { /* alive */ + for (j=1,survp=0. ; j<=nlstate; j++) + survp += out[s1][j]; + lli= log(survp); }else{ lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */ } @@ -2628,13 +3701,16 @@ 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; @@ -2647,10 +3723,50 @@ 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; */ + ioffset=2+nagesqr; + /* Fixed */ + /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */ + /* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */ + for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */ + cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/ +/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */ +/* cov[2+6]=covar[Tvar[6]][i]; */ +/* cov[2+6]=covar[2][i]; V2 */ +/* cov[TvarFind[2]]=covar[Tvar[TvarFind[2]]][i]; */ +/* cov[2+7]=covar[Tvar[7]][i]; */ +/* cov[2+7]=covar[7][i]; V7=V1*V2 */ +/* cov[TvarFind[3]]=covar[Tvar[TvarFind[3]]][i]; */ +/* cov[2+9]=covar[Tvar[9]][i]; */ +/* cov[2+9]=covar[1][i]; V1 */ + } + /* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products *\/ */ + /* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V2 and V1*V2 is fixed (k=6 and 7?)*\/ */ + /* } */ + /* for(iqv=1; iqv <= nqfveff; iqv++){ /\* Quantitative fixed covariates *\/ */ + /* cov[++ioffset]=coqvar[Tvar[iqv]][i]; /\* Only V2 k=6 and V1*V2 7 *\/ */ + /* } */ + + + for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */ + /* Wave varying (but not age varying) */ + for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/ + /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */ + cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; + } + /* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */ + /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */ + /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */ + /* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */ + /* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */ + /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */ + /* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */ + /* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */ + /* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */ + /* cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; */ + /* } */ for (ii=1;ii<=nlstate+ndeath;ii++) for (j=1;j<=nlstate+ndeath;j++){ oldm[ii][j]=(ii==j ? 1.0 : 0.0); @@ -2660,17 +3776,21 @@ double funcone( double *x) agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ for(d=0; d nlstate && (mle <5) ){ /* Jackson */ lli=log(out[s1][s2] - savm[s1][s2]); - } else if (s2==-2) { + } else if ( s2==-1 ) { /* alive */ for (j=1,survp=0. ; j<=nlstate; j++) survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j]; lli= log(survp); @@ -2709,26 +3833,26 @@ double funcone( double *x) ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ if(globpr){ - fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f %8.3f\ + fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ %11.6f %11.6f %11.6f ", \ num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, - 2*weight[i]*lli,out[s1][s2],savm[s1][s2]); + 2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2])); for(k=1,llt=0.,l=0.; k<=nlstate; k++){ llt +=ll[k]*gipmx/gsw; fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw); } fprintf(ficresilk," %10.6f\n", -llt); } - } /* end of wave */ - } /* end of individual */ - for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; - /* printf("l1=%f l2=%f ",ll[1],ll[2]); */ - l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ - if(globpr==0){ /* First time we count the contributions and weights */ - gipmx=ipmx; - gsw=sw; - } - return -l; + } /* end of wave */ +} /* end of individual */ +for(k=1,l=0.; k<=nlstate; k++) l += ll[k]; +/* printf("l1=%f l2=%f ",ll[1],ll[2]); */ +l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */ +if(globpr==0){ /* First time we count the contributions and weights */ + gipmx=ipmx; + gsw=sw; +} +return -l; } @@ -2765,7 +3889,7 @@ void likelione(FILE *ficres,double p[], else if(mle >=1) fprintf(fichtm,"\n
File of contributions to the likelihood computed with optimized parameters mle = %d.",mle); fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: %s
\n",subdirf(fileresilk),subdirf(fileresilk)); - + fprintf(fichtm,"\n
Equation of the model: model=1+age+%s
\n",model); for (k=1; k<= nlstate ; k++) { fprintf(fichtm,"
- Probability p%dj by origin %d and destination j. Dot's sizes are related to corresponding weight: %s-p%dj.png
\ @@ -3067,8 +4191,8 @@ double hessij( double x[], double **hess kmax=kmax+10; } if(kmax >=10 || firstime ==1){ - printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; increase ftol=%.2e\n",thetai,thetaj, ftol); - fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; increase ftol=%.2e\n",thetai,thetaj, ftol); + printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); + fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol); printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); } @@ -3157,7 +4281,16 @@ void ludcmp(double **a, int n, int *indx big=0.0; for (j=1;j<=n;j++) if ((temp=fabs(a[i][j])) > big) big=temp; - if (big == 0.0) nrerror("Singular matrix in routine ludcmp"); + if (big == 0.0){ + printf(" Singular Hessian matrix at row %d:\n",i); + for (j=1;j<=n;j++) { + printf(" a[%d][%d]=%f,",i,j,a[i][j]); + fprintf(ficlog," a[%d][%d]=%f,",i,j,a[i][j]); + } + fflush(ficlog); + fclose(ficlog); + nrerror("Singular matrix in routine ludcmp"); + } vv[i]=1.0/big; } for (j=1;j<=n;j++) { @@ -3223,23 +4356,36 @@ void pstamp(FILE *fichier) fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart); } + + /************ Frequencies ********************/ -void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ - int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[],\ +void freqsummary(char fileres[], double p[], double pstart[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ + int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \ int firstpass, int lastpass, int stepm, int weightopt, char model[]) -{ /* Some frequencies */ +{ /* Some frequencies as well as proposing some starting values */ - int i, m, jk, j1, bool, z1,j; + int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1; + int iind=0, iage=0; int mi; /* Effective wave */ int first; double ***freq; /* Frequencies */ - double *pp, **prop; - double pos,posprop, k2, dateintsum=0,k2cpt=0; + double *x, *y, a=0.,b=0.,r=1., sa=0., sb=0.; /* for regression, y=b+m*x and r is the correlation coefficient */ + int no=0, linreg(int ifi, int ila, int *no, const double x[], const double y[], double* a, double* b, double* r, double* sa, double * sb); + double *meanq, *idq; + double **meanqt; + double *pp, **prop, *posprop, *pospropt; + double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0; char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH]; double agebegin, ageend; pp=vector(1,nlstate); - prop=matrix(1,nlstate,iagemin,iagemax+3); + prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+4+AGEMARGE); + posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */ + pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ + /* prop=matrix(1,nlstate,iagemin,iagemax+3); */ + meanq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */ + idq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */ + meanqt=matrix(1,lastpass,1,nqtveff); strcpy(fileresp,"P_"); strcat(fileresp,fileresu); /*strcat(fileresphtm,fileresu);*/ @@ -3248,7 +4394,7 @@ void freqsummary(char fileres[], int ia fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); exit(0); } - + strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); @@ -3258,145 +4404,276 @@ void freqsummary(char fileres[], int ia } else{ fprintf(ficresphtm,"\nIMaCh PHTM_ %s\n %s
%s \ -
\n\ +
\n \ Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\ - fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); + fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); } - fprintf(ficresphtm,"Current page is file %s
\n\n

Frequencies and prevalence by age at begin of transition

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

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

\n",fileresphtm, fileresphtm); + strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); fflush(ficlog); exit(70); - } - else{ + } else{ fprintf(ficresphtmfr,"\nIMaCh PHTM_Frequency table %s\n %s
%s \ -
\n\ +
\n \ Title=%s
Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s
\n",\ - fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); + 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,iagemax+3); + fprintf(ficresphtmfr,"Current page is file %s
\n\n

Frequencies of all effective transitions of the model, by age at begin of transition, and covariate value at the begin of transition (if the covariate is a varying covariate)

Unknown status is -1
\n",fileresphtmfr, fileresphtmfr); + + y= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); + x= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE); + freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+4+AGEMARGE); j1=0; - j=cptcoveff; + /* j=ncoveff; /\* Only fixed dummy covariates *\/ */ + j=cptcoveff; /* Only dummy covariates of the model */ if (cptcovn<1) {j=1;ncodemax[1]=1;} + + + /* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels: + reference=low_education V1=0,V2=0 + med_educ V1=1 V2=0, + high_educ V1=0 V2=1 + Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff + */ + dateintsum=0; + k2cpt=0; - first=1; + if(cptcoveff == 0 ) + nl=1; /* Constant and age model only */ + else + nl=2; - for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ /* Loop on covariates combination */ + /* if a constant only model, one pass to compute frequency tables and to write it on ficresp */ + /* Loop on nj=1 or 2 if dummy covariates j!=0 + * Loop on j1(1 to 2**cptcoveff) covariate combination + * freq[s1][s2][iage] =0. + * Loop on iind + * ++freq[s1][s2][iage] weighted + * end iind + * if covariate and j!0 + * headers Variable on one line + * endif cov j!=0 + * header of frequency table by age + * Loop on age + * pp[s1]+=freq[s1][s2][iage] weighted + * pos+=freq[s1][s2][iage] weighted + * Loop on s1 initial state + * fprintf(ficresp + * end s1 + * end age + * if j!=0 computes starting values + * end compute starting values + * end j1 + * end nl + */ + for (nj = 1; nj <= nl; nj++){ /* nj= 1 constant model, nl number of loops. */ + if(nj==1) + j=0; /* First pass for the constant */ + else{ + j=cptcoveff; /* Other passes for the covariate values */ + } + first=1; + for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all covariates combination of the 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 (s2=-5; s2<=nlstate+ndeath; s2++) for(m=iagemin; m <= iagemax+3; m++) - freq[i][jk][m]=0; + freq[i][s2][m]=0; - for (i=1; i<=nlstate; i++) + 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++) { /* zeroing for each combination j1 as well as for the total */ + idq[z1]+=0.; + meanq[z1]+=0.; + } + /* for (z1=1; z1<= nqtveff; z1++) { */ + /* for(m=1;m<=lastpass;m++){ */ + /* meanqt[m][z1]=0.; */ + /* } */ + /* } */ + /* dateintsum=0; */ + /* k2cpt=0; */ - dateintsum=0; - k2cpt=0; - for (i=1; i<=imx; i++) { /* For each individual i */ + /* For that combination of covariates j1 (V4=1 V3=0 for example), we count and print the frequencies in one pass */ + for (iind=1; iind<=imx; iind++) { /* For each individual iind */ 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){ + if(j !=0){ + 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++) { /* loops on covariates in the model */ + /* if(Tvaraff[z1] ==-20){ */ + /* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */ + /* }else if(Tvaraff[z1] ==-10){ */ + /* /\* sumnew+=coqvar[z1][iind]; *\/ */ + /* }else */ + if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ /* for combination j1 of covariates */ + /* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */ + bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */ + /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n", + bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1), + j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/ + /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ + } /* Onlyf fixed */ + } /* end z1 */ + } /* cptcovn > 0 */ + } /* end any */ + }/* end j==0 */ + if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */ /* for(m=firstpass; m<=lastpass; m++){ */ - for(mi=1; mi=firstpass && m <=lastpass){ - k2=anint[m][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 (m=firstpass && m <=lastpass){ + k2=anint[m][iind]+(mint[m][iind]/12.); + /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ + if(agev[m][iind]==0) agev[m][iind]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ + if(agev[m][iind]==1) agev[m][iind]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ + if (s[m][iind]>0 && s[m][iind]<=nlstate) /* If status at wave m is known and a live state */ + prop[s[m][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */ + if (m1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99) && (j==0)) { + dateintsum=dateintsum+k2; /* on all covariates ?*/ + k2cpt++; + /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ } - } - if ((agev[m][i]>1) && (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); */ - } - /*}*/ + }else{ + bool=1; + }/* end bool 2 */ } /* end m */ } /* end bool */ - } /* end i = 1 to imx */ - + } /* 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 (cptcovn>0) { + if(cptcoveff==0 && nj==1) /* no covariate and first pass */ + pstamp(ficresp); + if (cptcoveff>0 && j!=0){ + pstamp(ficresp); + printf( "\n#********** Variable "); fprintf(ficresp, "\n#********** Variable "); fprintf(ficresphtm, "\n

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

********** Variable "); + fprintf(ficlog, "\n#********** Variable "); for (z1=1; z1<=cptcoveff; z1++){ - fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); - fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + if(!FixedV[Tvaraff[z1]]){ + printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtm, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtmfr, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + }else{ + printf( "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + } } - fprintf(ficresp, "**********\n#"); + printf( "**********\n#"); + 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"); } + /* + Printing means of quantitative variables if any + */ + for (z1=1; z1<= nqfveff; z1++) { + fprintf(ficresphtmfr,"V quantitative id %d, number of idividuals= %f, sum=%f", z1, idq[z1], meanq[z1]); + fprintf(ficresphtmfr,", mean=%f

\n",meanq[z1]/idq[z1]); + } + /* for (z1=1; z1<= nqtveff; z1++) { */ + /* for(m=1;m<=lastpass;m++){ */ + /* fprintf(ficresphtmfr,"V quantitative id %d, pass id=%d, mean=%f

\n", z1, m, meanqt[m][z1]); */ + /* } */ + /* } */ + fprintf(ficresphtm,""); + if((cptcoveff==0 && nj==1)|| nj==2 ) /* no covariate and first pass */ + fprintf(ficresp, " Age"); + if(nj==2) for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); for(i=1; i<=nlstate;i++) { - fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); + if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i); fprintf(ficresphtm, "",i,i); } - fprintf(ficresp, "\n"); + if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp, "\n"); fprintf(ficresphtm, "\n"); /* Header of frequency table by age */ fprintf(ficresphtmfr,"
AgePrev(%d)N(%d)N
"); fprintf(ficresphtmfr," "); - for(jk=-1; jk <=nlstate+ndeath; jk++){ + for(s2=-1; s2 <=nlstate+ndeath; s2++){ for(m=-1; m <=nlstate+ndeath; m++){ - if(jk!=0 && m!=0) - fprintf(ficresphtmfr," ",jk,m); + if(s2!=0 && m!=0) + fprintf(ficresphtmfr," ",s2,m); } } fprintf(ficresphtmfr, "\n"); - + /* For each age */ - for(i=iagemin; i <= iagemax+3; i++){ + for(iage=iagemin; iage <= iagemax+3; iage++){ fprintf(ficresphtm,""); - if(i==iagemax+1){ + if(iage==iagemax+1){ fprintf(ficlog,"1"); fprintf(ficresphtmfr," "); - }else if(i==iagemax+2){ + }else if(iage==iagemax+2){ fprintf(ficlog,"0"); fprintf(ficresphtmfr," "); - }else if(i==iagemax+3){ + }else if(iage==iagemax+3){ fprintf(ficlog,"Total"); fprintf(ficresphtmfr," "); }else{ @@ -3404,94 +4681,324 @@ Title=%s
Datafile=%s Firstpass=%d La first=0; printf("See log file for details...\n"); } - fprintf(ficresphtmfr," ",i); - fprintf(ficlog,"Age %d", i); + 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][i]; + for(s1=1; s1 <=nlstate ; s1++){ + for(m=-1, pp[s1]=0; m <=nlstate+ndeath ; m++) + pp[s1] += freq[s1][m][iage]; } - for(jk=1; jk <=nlstate ; jk++){ + for(s1=1; s1 <=nlstate ; s1++){ for(m=-1, pos=0; m <=0 ; m++) - pos += freq[jk][m][i]; - if(pp[jk]>=1.e-10){ + pos += freq[s1][m][iage]; + if(pp[s1]>=1.e-10){ if(first==1){ - printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); + printf(" %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]); } - fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); + fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]); }else{ if(first==1) - printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); - fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); + printf(" %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1); + fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1); } } - - 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(s1=1; s1 <=nlstate ; s1++){ + /* posprop[s1]=0; */ + for(m=0, pp[s1]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */ + pp[s1] += freq[s1][m][iage]; + } /* pp[s1] is the total number of transitions starting from state s1 and any ending status until this age */ + + for(s1=1,pos=0, pospropta=0.; s1 <=nlstate ; s1++){ + pos += pp[s1]; /* pos is the total number of transitions until this age */ + posprop[s1] += prop[s1][iage]; /* prop is the number of transitions from a live state + from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ + pospropta += prop[s1][iage]; /* prop is the number of transitions from a live state + from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */ + } + + /* Writing ficresp */ + if(cptcoveff==0 && nj==1){ /* no covariate and first pass */ + if( iage <= iagemax){ + fprintf(ficresp," %d",iage); + } + }else if( nj==2){ + if( iage <= iagemax){ + fprintf(ficresp," %d",iage); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); + } } - for(jk=1; jk <=nlstate ; jk++){ + for(s1=1; s1 <=nlstate ; s1++){ 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); + printf(" %d.=%.0f prev[%d]=%.1f%%",s1,pp[s1],s1,100*pp[s1]/pos); + fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",s1,pp[s1],s1,100*pp[s1]/pos); }else{ if(first==1) - printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); - fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); + printf(" %d.=%.0f prev[%d]=NaNQ%%",s1,pp[s1],s1); + fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",s1,pp[s1],s1); } - if( i <= iagemax){ + if( iage <= 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); + if(cptcoveff==0 && nj==1){ /* no covariate and first pass */ + fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); + }else if( nj==2){ + fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta); + } + fprintf(ficresphtm,"",iage,prop[s1][iage]/pospropta, prop[s1][iage],pospropta); + /*probs[iage][s1][j1]= pp[s1]/pos;*/ + /*printf("\niage=%d s1=%d j1=%d %.5f %.0f %.0f %f",iage,s1,j1,pp[s1]/pos, pp[s1],pos,probs[iage][s1][j1]);*/ + } else{ + if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," NaNq %.0f %.0f",prop[s1][iage],pospropta); + fprintf(ficresphtm,"",iage, prop[s1][iage],pospropta); } } - } - - for(jk=-1; jk <=nlstate+ndeath; jk++){ + pospropt[s1] +=posprop[s1]; + } /* end loop s1 */ + /* pospropt=0.; */ + for(s1=-1; s1 <=nlstate+ndeath; s1++){ for(m=-1; m <=nlstate+ndeath; m++){ - if(freq[jk][m][i] !=0 ) { /* minimizing output */ + if(freq[s1][m][iage] !=0 ) { /* minimizing output */ if(first==1){ - printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); + printf(" %d%d=%.0f",s1,m,freq[s1][m][iage]); } - fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]); + /* printf(" %d%d=%.0f",s1,m,freq[s1][m][iage]); */ + fprintf(ficlog," %d%d=%.0f",s1,m,freq[s1][m][iage]); } - if(jk!=0 && m!=0) - fprintf(ficresphtmfr," ",freq[jk][m][i]); + if(s1!=0 && m!=0) + fprintf(ficresphtmfr," ",freq[s1][m][iage]); } + } /* end loop s1 */ + posproptt=0.; + for(s1=1; s1 <=nlstate; s1++){ + posproptt += pospropt[s1]; } fprintf(ficresphtmfr,"\n "); - if(i <= iagemax){ - fprintf(ficresp,"\n"); - fprintf(ficresphtm,"\n"); + fprintf(ficresphtm,"\n"); + if((cptcoveff==0 && nj==1)|| nj==2 ) { + if(iage <= iagemax) + fprintf(ficresp,"\n"); } if(first==1) printf("Others in log...\n"); fprintf(ficlog,"\n"); - } /* end loop i */ + } /* end loop age iage */ + + fprintf(ficresphtm,""); + for(s1=1; s1 <=nlstate ; s1++){ + if(posproptt < 1.e-5){ + fprintf(ficresphtm,"",pospropt[s1],posproptt); + }else{ + fprintf(ficresphtm,"",pospropt[s1]/posproptt,pospropt[s1],posproptt); + } + } + fprintf(ficresphtm,"\n"); fprintf(ficresphtm,"
Age%d%d%d%d
0
Unknown
Total
%d
%d%d%.5f%.0f%.0f%dNaNq%.0f%.0f%d%.5f%.0f%.0f%dNaNq%.0f%.0f%.0f%.0f
TotNanq%.0f%.0f%.5f%.0f%.0f
\n"); fprintf(ficresphtmfr,"\n"); - /*}*/ - } /* end j1 */ + 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(ficlog,"# This combination (%d) is not valid and no result will be produced\n",j1); + printf("# This combination (%d) is not valid and no result will be produced\n",j1); + invalidvarcomb[j1]=1; + }else{ + fprintf(ficresphtm,"\n

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

",j1); + invalidvarcomb[j1]=0; + } + fprintf(ficresphtmfr,"\n"); + fprintf(ficlog,"\n"); + if(j!=0){ + printf("#Freqsummary: Starting values for combination j1=%d:\n", j1); + for(i=1,s1=1; i <=nlstate; i++){ + for(k=1; k <=(nlstate+ndeath); k++){ + if (k != i) { + for(jj=1; jj <=ncovmodel; jj++){ /* For counting s1 */ + if(jj==1){ /* Constant case (in fact cste + age) */ + if(j1==1){ /* All dummy covariates to zero */ + freq[i][k][iagemax+4]=freq[i][k][iagemax+3]; /* Stores case 0 0 0 */ + freq[i][i][iagemax+4]=freq[i][i][iagemax+3]; /* Stores case 0 0 0 */ + printf("%d%d ",i,k); + fprintf(ficlog,"%d%d ",i,k); + printf("%12.7f ln(%.0f/%.0f)= %f, OR=%f sd=%f \n",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]),freq[i][k][iagemax+3]/freq[i][i][iagemax+3], sqrt(1/freq[i][k][iagemax+3]+1/freq[i][i][iagemax+3])); + fprintf(ficlog,"%12.7f ln(%.0f/%.0f)= %12.7f \n",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])); + pstart[s1]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]); + } + }else if((j1==1) && (jj==2 || nagesqr==1)){ /* age or age*age parameter without covariate V4*age (to be done later) */ + for(iage=iagemin; iage <= iagemax+3; iage++){ + x[iage]= (double)iage; + y[iage]= log(freq[i][k][iage]/freq[i][i][iage]); + /* printf("i=%d, k=%d, s1=%d, j1=%d, jj=%d, y[%d]=%f\n",i,k,s1,j1,jj, iage, y[iage]); */ + } + /* Some are not finite, but linreg will ignore these ages */ + no=0; + linreg(iagemin,iagemax,&no,x,y,&a,&b,&r, &sa, &sb ); /* y= a+b*x with standard errors */ + pstart[s1]=b; + pstart[s1-1]=a; + }else if( j1!=1 && (j1==2 || (log(j1-1.)/log(2.)-(int)(log(j1-1.)/log(2.))) <0.010) && ( TvarsDind[(int)(log(j1-1.)/log(2.))+1]+2+nagesqr == jj) && Dummy[jj-2-nagesqr]==0){ /* We want only if the position, jj, in model corresponds to unique covariate equal to 1 in j1 combination */ + printf("j1=%d, jj=%d, (int)(log(j1-1.)/log(2.))+1=%d, TvarsDind[(int)(log(j1-1.)/log(2.))+1]=%d\n",j1, jj,(int)(log(j1-1.)/log(2.))+1,TvarsDind[(int)(log(j1-1.)/log(2.))+1]); + printf("j1=%d, jj=%d, (log(j1-1.)/log(2.))+1=%f, TvarsDind[(int)(log(j1-1.)/log(2.))+1]=%d\n",j1, jj,(log(j1-1.)/log(2.))+1,TvarsDind[(int)(log(j1-1.)/log(2.))+1]); + pstart[s1]= log((freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4])); + printf("%d%d ",i,k); + fprintf(ficlog,"%d%d ",i,k); + printf("s1=%d,i=%d,k=%d,p[%d]=%12.7f ln((%.0f/%.0f)/(%.0f/%.0f))= %f, OR=%f sd=%f \n",s1,i,k,s1,p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3],freq[i][k][iagemax+4],freq[i][i][iagemax+4], log((freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4])),(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4]), sqrt(1/freq[i][k][iagemax+3]+1/freq[i][i][iagemax+3]+1/freq[i][k][iagemax+4]+1/freq[i][i][iagemax+4])); + }else{ /* Other cases, like quantitative fixed or varying covariates */ + ; + } + /* printf("%12.7f )", param[i][jj][k]); */ + /* fprintf(ficlog,"%12.7f )", param[i][jj][k]); */ + s1++; + } /* end jj */ + } /* end k!= i */ + } /* end k */ + } /* end i, s1 */ + } /* end j !=0 */ + } /* end selected combination of covariate j1 */ + if(j==0){ /* We can estimate starting values from the occurences in each case */ + printf("#Freqsummary: Starting values for the constants:\n"); + fprintf(ficlog,"\n"); + for(i=1,s1=1; i <=nlstate; i++){ + for(k=1; k <=(nlstate+ndeath); k++){ + if (k != i) { + printf("%d%d ",i,k); + fprintf(ficlog,"%d%d ",i,k); + for(jj=1; jj <=ncovmodel; jj++){ + pstart[s1]=p[s1]; /* Setting pstart to p values by default */ + if(jj==1){ /* Age has to be done */ + pstart[s1]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]); + printf("%12.7f ln(%.0f/%.0f)= %12.7f ",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])); + fprintf(ficlog,"%12.7f ln(%.0f/%.0f)= %12.7f ",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])); + } + /* printf("%12.7f )", param[i][jj][k]); */ + /* fprintf(ficlog,"%12.7f )", param[i][jj][k]); */ + s1++; + } + printf("\n"); + fprintf(ficlog,"\n"); + } + } + } + printf("#Freqsummary\n"); + fprintf(ficlog,"\n"); + for(s1=-1; s1 <=nlstate+ndeath; s1++){ + for(s2=-1; s2 <=nlstate+ndeath; s2++){ + /* param[i]|j][k]= freq[s1][s2][iagemax+3] */ + printf(" %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); + fprintf(ficlog," %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); + /* if(freq[s1][s2][iage] !=0 ) { /\* minimizing output *\/ */ + /* printf(" %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); */ + /* fprintf(ficlog," %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); */ + /* } */ + } + } /* end loop s1 */ + + printf("\n"); + fprintf(ficlog,"\n"); + } /* end j=0 */ + } /* end j */ + + if(mle == -2){ /* We want to use these values as starting values */ + for(i=1, jk=1; i <=nlstate; i++){ + for(j=1; j <=nlstate+ndeath; j++){ + if(j!=i){ + /*ca[0]= k+'a'-1;ca[1]='\0';*/ + printf("%1d%1d",i,j); + fprintf(ficparo,"%1d%1d",i,j); + for(k=1; k<=ncovmodel;k++){ + /* printf(" %lf",param[i][j][k]); */ + /* fprintf(ficparo," %lf",param[i][j][k]); */ + p[jk]=pstart[jk]; + printf(" %f ",pstart[jk]); + fprintf(ficparo," %f ",pstart[jk]); + jk++; + } + printf("\n"); + fprintf(ficparo,"\n"); + } + } + } + } /* end mle=-2 */ dateintmean=dateintsum/k2cpt; - + fclose(ficresp); fclose(ficresphtm); fclose(ficresphtmfr); - free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3); + free_vector(idq,1,nqfveff); + free_vector(meanq,1,nqfveff); + free_matrix(meanqt,1,lastpass,1,nqtveff); + free_vector(x, iagemin-AGEMARGE, iagemax+4+AGEMARGE); + free_vector(y, iagemin-AGEMARGE, iagemax+4+AGEMARGE); + free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+4+AGEMARGE); + free_vector(pospropt,1,nlstate); + free_vector(posprop,1,nlstate); + free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+4+AGEMARGE); free_vector(pp,1,nlstate); - free_matrix(prop,1,nlstate,iagemin, iagemax+3); - /* End of Freq */ + /* End of freqsummary */ +} + +/* Simple linear regression */ +int linreg(int ifi, int ila, int *no, const double x[], const double y[], double* a, double* b, double* r, double* sa, double * sb) { + + /* y=a+bx regression */ + double sumx = 0.0; /* sum of x */ + double sumx2 = 0.0; /* sum of x**2 */ + double sumxy = 0.0; /* sum of x * y */ + double sumy = 0.0; /* sum of y */ + double sumy2 = 0.0; /* sum of y**2 */ + double sume2 = 0.0; /* sum of square or residuals */ + double yhat; + + double denom=0; + int i; + int ne=*no; + + for ( i=ifi, ne=0;i<=ila;i++) { + if(!isfinite(x[i]) || !isfinite(y[i])){ + /* printf(" x[%d]=%f, y[%d]=%f\n",i,x[i],i,y[i]); */ + continue; + } + ne=ne+1; + sumx += x[i]; + sumx2 += x[i]*x[i]; + sumxy += x[i] * y[i]; + sumy += y[i]; + sumy2 += y[i]*y[i]; + denom = (ne * sumx2 - sumx*sumx); + /* printf("ne=%d, i=%d,x[%d]=%f, y[%d]=%f sumx=%f, sumx2=%f, sumxy=%f, sumy=%f, sumy2=%f, denom=%f\n",ne,i,i,x[i],i,y[i], sumx, sumx2,sumxy, sumy, sumy2,denom); */ + } + + denom = (ne * sumx2 - sumx*sumx); + if (denom == 0) { + // vertical, slope m is infinity + *b = INFINITY; + *a = 0; + if (r) *r = 0; + return 1; + } + + *b = (ne * sumxy - sumx * sumy) / denom; + *a = (sumy * sumx2 - sumx * sumxy) / denom; + if (r!=NULL) { + *r = (sumxy - sumx * sumy / ne) / /* compute correlation coeff */ + sqrt((sumx2 - sumx*sumx/ne) * + (sumy2 - sumy*sumy/ne)); + } + *no=ne; + for ( i=ifi, ne=0;i<=ila;i++) { + if(!isfinite(x[i]) || !isfinite(y[i])){ + /* printf(" x[%d]=%f, y[%d]=%f\n",i,x[i],i,y[i]); */ + continue; + } + ne=ne+1; + yhat = y[i] - *a -*b* x[i]; + sume2 += yhat * yhat ; + + denom = (ne * sumx2 - sumx*sumx); + /* printf("ne=%d, i=%d,x[%d]=%f, y[%d]=%f sumx=%f, sumx2=%f, sumxy=%f, sumy=%f, sumy2=%f, denom=%f\n",ne,i,i,x[i],i,y[i], sumx, sumx2,sumxy, sumy, sumy2,denom); */ + } + *sb = sqrt(sume2/(double)(ne-2)/(sumx2 - sumx * sumx /(double)ne)); + *sa= *sb * sqrt(sumx2/ne); + + return 0; } /************ Prevalence ********************/ @@ -3502,7 +5009,7 @@ 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; @@ -3516,7 +5023,7 @@ void prevalence(double ***probs, double iagemin= (int) agemin; iagemax= (int) agemax; /*pp=vector(1,nlstate);*/ - prop=matrix(1,nlstate,iagemin,iagemax+3); + prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+4+AGEMARGE); /* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/ j1=0; @@ -3524,22 +5031,32 @@ void prevalence(double ***probs, double if (cptcovn<1) {j=1;ncodemax[1]=1;} first=1; - for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ + for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */ for (i=1; i<=nlstate; i++) - for(iage=iagemin; iage <= iagemax+3; iage++) + for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++) prop[i][iage]=0.0; + printf("Prevalence combination of varying and fixed dummies %d\n",j1); + /* fprintf(ficlog," V%d=%d ",Tvaraff[j1],nbcode[Tvaraff[j1]][codtabm(k,j1)]); */ + 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++) - if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) - bool=0; - } - if (bool==1) { - /* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ - for(mi=1; mi=firstpass && m <=lastpass){ @@ -3547,7 +5064,10 @@ void prevalence(double ***probs, double if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ if(agev[m][i]==0) agev[m][i]=iagemax+1; if(agev[m][i]==1) agev[m][i]=iagemax+2; - if((int)agev[m][i] iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m); + if((int)agev[m][i] iagemax+4+AGEMARGE){ + printf("Error on individual # %d agev[m][i]=%f <%d-%d or > %d+3+%d m=%d; either change agemin or agemax or fix data\n",i, agev[m][i],iagemin,AGEMARGE, iagemax,AGEMARGE,m); + exit(1); + } 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 */ @@ -3555,9 +5075,9 @@ void prevalence(double ***probs, double } /* end valid statuses */ } /* end selection of dates */ } /* end selection of waves */ - } /* end effective waves */ - } /* end bool */ - } + } /* 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]; @@ -3570,18 +5090,21 @@ void prevalence(double ***probs, double } else{ if(first==1){ first=0; - printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]); + printf("Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); + fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); + }else{ + fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]); } } } }/* end jk */ }/* end i */ - /*} *//* end i1 */ + /*} *//* end i1 */ } /* end j1 */ /* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/ /*free_vector(pp,1,nlstate);*/ - free_matrix(prop,1,nlstate, iagemin,iagemax+3); + free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+4+AGEMARGE); } /* End of prevalence */ /************* Waves Concatenation ***************/ @@ -3593,51 +5116,105 @@ 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; + int first=0, firstwo=0, firsthree=0, firstfour=0, firstfiv=0; int j, k=0,jk, ju, jl; double sum=0.; first=0; firstwo=0; + firsthree=0; + firstfour=0; 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]==-2 || s[m][i]==-4 || s[m][i]==-5) + 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; - if(m >=lastpass) + 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 */ + } + else{ /* m >= lastpass, eventual special issue with warning */ +#ifdef UNKNOWNSTATUSNOTCONTRIBUTING break; - else - m++; +#else + if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ + if(firsthree == 0){ + printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p%d%d .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); + firsthree=1; + } + fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p%d%d .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath); + mw[++mi][i]=m; + mli=m; + } + 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.\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; +#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 (andc[i] != 9999) { /* A death occured after lastpass */ - m++; - mi++; - s[m][i]=nlstate+1; /* We are setting the status to the last of non live state */ - mw[mi][i]=m; - nbwarn++; - if(firstwo==0){ - printf("Warning! Death for individual %ld line=%d occurred after last wave %d. Since 0.98r4 we considered a status %d at wave %d\nOthers in log file only\n",num[i],i,lastpass,nlstate+1, m); - fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred after last wave %d. Since 0.98r4 we considered a status %d at wave %d\n",num[i],i,lastpass,nlstate+1, m); - firstwo=1; - } - if(firstwo==1){ - fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred after last wave %d. Since 0.98r4 we considered a status %d at wave %d\n",num[i],i,lastpass,nlstate+1, m); + } /* else not in a death state */ +#ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE + else if ((int) andc[i] != 9999) { /* Date of death is known */ + if ((int)anint[m][i]!= 9999) { /* date of last interview is known */ + if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* death occured before last wave and status should have been death instead of -1 */ + nbwarn++; + 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. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + firstwo=1; + } + fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\n\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + } + }else{ /* if date of interview is unknown */ + /* death is known but not confirmed by death status at any wave */ + if(firstfour==0){ + printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m ); + firstfour=1; + } + 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){ @@ -3650,14 +5227,14 @@ 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 nlstate) { /* A death */ + if (s[mw[mi+1][i]][i] > nlstate) { /* A death, but what if date is unknown? */ if (agedc[i] < 2*AGESUP) { j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); if(j==0) j=1; /* Survives at least one month after exam */ @@ -3686,7 +5263,7 @@ void concatwav(int wav[], int **dh, int else{ j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12)); /* if (j<0) printf("%d %lf %lf %d %d %d\n", i,agev[mw[mi+1][i]][i], agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); */ - + k=k+1; if (j >= jmax) { jmax=j; @@ -3740,142 +5317,182 @@ 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) -{ - /**< 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]= - */ + void tricode(int *cptcov, int *Tvar, int **nbcode, int imx, int *Ndum) + { + /**< Uses cptcovn+2*cptcovprod as the number of covariates */ + /* Tvar[i]=atoi(stre); find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 + * Boring subroutine which should only output nbcode[Tvar[j]][k] + * Tvar[5] in V2+V1+V3*age+V2*V4 is 4 (V4) even it is a time varying or quantitative variable + * nbcode[Tvar[5]][1]= nbcode[4][1]=0, nbcode[4][2]=1 (usually); + */ - int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX; - int modmaxcovj=0; /* Modality max of covariates j */ - int cptcode=0; /* Modality max of covariates j */ - int modmincovj=0; /* Modality min of covariates j */ + int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX; + int modmaxcovj=0; /* Modality max of covariates j */ + int cptcode=0; /* Modality max of covariates j */ + int modmincovj=0; /* Modality min of covariates j */ - cptcoveff=0; + /* cptcoveff=0; */ + /* *cptcov=0; */ - for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ + for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */ - /* Loop on covariates without age and products */ - 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. */ - } - 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 */ - - /* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ - /* /\*recode from 0 *\/ */ - /* k is a modality. If we have model=V1+V1*sex */ - /* then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */ - /* But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode *\/ */ - /* } */ - /* /\* cptcode = ij; *\/ /\* New max modality for covar j *\/ */ - /* if (ij > ncodemax[j]) { */ - /* printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ - /* fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ - /* break; */ - /* } */ - /* } /\* end of loop on modality k *\/ */ - } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ - - for (k=-1; k< maxncov; k++) Ndum[k]=0; - - 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; */ + /* Loop on covariates without age and products and no quantitative variable */ + /* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */ + for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */ + for (j=-1; (j < maxncov); j++) Ndum[j]=0; + if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ + switch(Fixed[k]) { + case 0: /* Testing on fixed dummy covariate, simple or product of fixed */ + for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the modality of this covariate Vj*/ + ij=(int)(covar[Tvar[k]][i]); + /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i + * If product of Vn*Vm, still boolean *: + * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables + * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */ + /* Finds for covariate j, n=Tvar[j] of Vn . ij is the + modality of the nth covariate of individual i. */ + if (ij > modmaxcovj) + modmaxcovj=ij; + else if (ij < modmincovj) + modmincovj=ij; + if ((ij < -1) && (ij > NCOVMAX)){ + printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX ); + exit(1); + }else + Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/ + /* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */ + /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/ + /* getting the maximum value of the modality of the covariate + (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and + female ies 1, then modmaxcovj=1. + */ + } /* end for loop on individuals i */ + printf(" Minimal and maximal values of %d th (fixed) covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); + fprintf(ficlog," Minimal and maximal values of %d th (fixed) covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj); + cptcode=modmaxcovj; + /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */ + /*for (i=0; i<=cptcode; i++) {*/ + for (j=modmincovj; j<=modmaxcovj; j++) { /* j=-1 ? 0 and 1*//* For each value j of the modality of model-cov k */ + printf("Frequencies of (fixed) covariate %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); + fprintf(ficlog, "Frequencies of (fixed) covariate %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]); + if( Ndum[j] != 0 ){ /* Counts if nobody answered modality j ie empty modality, we skip it and reorder */ + if( j != -1){ + ncodemax[k]++; /* ncodemax[k]= Number of modalities of the k th + covariate for which somebody answered excluding + undefined. Usually 2: 0 and 1. */ + } + ncodemaxwundef[k]++; /* ncodemax[j]= Number of modalities of the k th + covariate for which somebody answered including + undefined. Usually 3: -1, 0 and 1. */ + } /* In fact ncodemax[k]=2 (dichotom. variables only) but it could be more for + * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */ + } /* Ndum[-1] number of undefined modalities */ + + /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */ + /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. */ + /* If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; */ + /* modmincovj=3; modmaxcovj = 7; */ + /* There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; */ + /* which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; */ + /* defining two dummy variables: variables V1_1 and V1_2.*/ + /* nbcode[Tvar[j]][ij]=k; */ + /* nbcode[Tvar[j]][1]=0; */ + /* nbcode[Tvar[j]][2]=1; */ + /* nbcode[Tvar[j]][3]=2; */ + /* To be continued (not working yet). */ + ij=0; /* ij is similar to i but can jump over null modalities */ + for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/ + if (Ndum[i] == 0) { /* If nobody responded to this modality k */ + break; + } + ij++; + nbcode[Tvar[k]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1*/ + cptcode = ij; /* New max modality for covar j */ + } /* end of loop on modality i=-1 to 1 or more */ + break; + case 1: /* Testing on varying covariate, could be simple and + * should look at waves or product of fixed * + * varying. No time to test -1, assuming 0 and 1 only */ + ij=0; + for(i=0; i<=1;i++){ + nbcode[Tvar[k]][++ij]=i; + } + break; + default: + break; + } /* end switch */ + } /* end dummy test */ + + /* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */ + /* /\*recode from 0 *\/ */ + /* k is a modality. If we have model=V1+V1*sex */ + /* then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */ + /* But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode *\/ */ + /* } */ + /* /\* cptcode = ij; *\/ /\* New max modality for covar j *\/ */ + /* if (ij > ncodemax[j]) { */ + /* printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ + /* fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */ + /* break; */ + /* } */ + /* } /\* end of loop on modality k *\/ */ + } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/ + + for (k=-1; k< maxncov; k++) Ndum[k]=0; + /* Look at fixed dummy (single or product) covariates to check empty modalities */ + for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */ + /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ + ij=Tvar[i]; /* Tvar 5,4,3,6,5,7,1,4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V4*age */ + Ndum[ij]++; /* Count the # of 1, 2 etc: {1,1,1,2,2,1,1} because V1 once, V2 once, two V4 and V5 in above */ + /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, {2, 1, 1, 1, 2, 1, 1, 0, 0} */ + } /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */ + + ij=0; + /* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */ + for (k=1; k<= cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */ + /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/ + /* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? *\/ */ + if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy and non empty in the model */ + /* If product not in single variable we don't print results */ + /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/ + ++ij;/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */ + Tvaraff[ij]=Tvar[k]; /* For printing combination *//* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/ + Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */ + TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */ + if(Fixed[k]!=0) + anyvaryingduminmodel=1; + /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ */ + /* Tvaraff[++ij]=-10; /\* Dont'n know how to treat quantitative variables yet *\/ */ + /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ */ + /* Tvaraff[++ij]=i; /\*For printing (unclear) *\/ */ + /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ */ + /* Tvaraff[++ij]=-20; /\* Dont'n know how to treat quantitative variables yet *\/ */ + } + } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */ + /* ij--; */ + /* cptcoveff=ij; /\*Number of total covariates*\/ */ + *cptcov=ij; /*Number of total real effective covariates: effective + * because they can be excluded from the model and real + * if in the model but excluded because missing values, but how to get k from ij?*/ + for(j=ij+1; j<= cptcovt; j++){ + Tvaraff[j]=0; + Tmodelind[j]=0; + } + for(j=ntveff+1; j<= cptcovt; j++){ + TmodelInvind[j]=0; } + /* To be sorted */ + ; } - /* ij--; */ - cptcoveff=ij; /*Number of total covariates*/ - -} /*********** Health Expectancies ****************/ -void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] ) + void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[], int nres ) { /* Health expectancies, no variances */ @@ -3885,7 +5502,7 @@ void evsij(double ***eij, double x[], in double ***p3mat; double eip; - pstamp(ficreseij); + /* pstamp(ficreseij); */ fprintf(ficreseij,"# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age\n"); fprintf(ficreseij,"# Age"); for(i=1; i<=nlstate;i++){ @@ -3916,7 +5533,7 @@ void evsij(double ***eij, double x[], in /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. nhstepm is the number of hstepm from age to agelim nstepm is the number of stepm from age to agelin. - Look at hpijx to understand the reason of that which relies in memory size + Look at hpijx to understand the reason which relies in memory size consideration and note for a fixed period like estepm months */ /* We decided (b) to get a life expectancy respecting the most precise curvature of the survival function given by stepm (the optimization length). Unfortunately it @@ -3948,7 +5565,7 @@ void evsij(double ***eij, double x[], in /* Computed by stepm unit matrices, product of hstepma matrices, stored in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */ - hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij); + hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres); hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ @@ -3983,11 +5600,11 @@ void evsij(double ***eij, double x[], in } -void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[] ) + void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[], int nres ) { /* Covariances of health expectancies eij and of total life expectancies according - 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 */ @@ -4081,13 +5698,13 @@ void cvevsij(double ***eij, double x[], /* Typically if 20 years nstepm = 20*12/6=40 stepm */ /* if (stepm >= YEARM) hstepm=1;*/ nhstepma = nstepma/hstepm;/* Expressed in hstepm, typically nhstepma=40/4=10 */ - + /* If stepm=6 months */ /* Computed by stepm unit matrices, product of hstepma matrices, stored in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */ hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ - + /* Computing Variances of health expectancies */ /* Gradient is computed with plus gp and minus gm. Code is duplicated in order to decrease memory allocation */ @@ -4096,9 +5713,9 @@ void cvevsij(double ***eij, double x[], xp[i] = x[i] + (i==theta ?delti[theta]:0); xm[i] = x[i] - (i==theta ?delti[theta]:0); } - hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij); - hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij); - + hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij, nres); + hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij, nres); + for(j=1; j<= nlstate; j++){ for(i=1; i<=nlstate; i++){ for(h=0; h<=nhstepm-1; h++){ @@ -4107,7 +5724,7 @@ void cvevsij(double ***eij, double x[], } } } - + 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]; @@ -4120,14 +5737,14 @@ void cvevsij(double ***eij, double x[], 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.; - - 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]); @@ -4136,18 +5753,19 @@ void cvevsij(double ***eij, double x[], varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf; } } - + /* Computing expectancies */ - hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij); + hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++) for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){ 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]);*/ - + } + /* Standard deviation of expectancies ij */ fprintf(ficresstdeij,"%3.0f",age ); for(i=1; i<=nlstate;i++){ eip=0.; @@ -4161,7 +5779,8 @@ void cvevsij(double ***eij, double x[], fprintf(ficresstdeij," %9.4f (%.4f)", eip, sqrt(vip)); } fprintf(ficresstdeij,"\n"); - + + /* Variance of expectancies ij */ fprintf(ficrescveij,"%3.0f",age ); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++){ @@ -4174,7 +5793,7 @@ void cvevsij(double ***eij, double x[], } } fprintf(ficrescveij,"\n"); - + } free_matrix(gm,0,nhstepm,1,nlstate*nlstate); free_matrix(gp,0,nhstepm,1,nlstate*nlstate); @@ -4184,335 +5803,491 @@ void cvevsij(double ***eij, double x[], free_ma3x(p3matp,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); printf("\n"); fprintf(ficlog,"\n"); - + free_vector(xm,1,npar); free_vector(xp,1,npar); free_matrix(dnewm,1,nlstate*nlstate,1,npar); free_matrix(doldm,1,nlstate*nlstate,1,nlstate*nlstate); free_ma3x(varhe,1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int)fage); } - + /************ Variance ******************/ - void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[]) -{ - /* Variance of health expectancies */ - /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/ - /* double **newm;*/ - /* int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav)*/ + void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[], int nres) + { + /** Variance of health expectancies + * double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl); + * double **newm; + * int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav) + */ - int movingaverage(); - double **dnewm,**doldm; - double **dnewmp,**doldmp; - int i, j, nhstepm, hstepm, h, nstepm ; - int k; - double *xp; - double **gp, **gm; /* for var eij */ - double ***gradg, ***trgradg; /*for var eij */ - double **gradgp, **trgradgp; /* for var p point j */ - double *gpp, *gmp; /* for var p point j */ - double **varppt; /* for var p point j nlstate to nlstate+ndeath */ - double ***p3mat; - double age,agelim, hf; - double ***mobaverage; - int theta; - char digit[4]; - char digitp[25]; + /* int movingaverage(); */ + double **dnewm,**doldm; + double **dnewmp,**doldmp; + int i, j, nhstepm, hstepm, h, nstepm ; + int k; + double *xp; + double **gp, **gm; /**< for var eij */ + double ***gradg, ***trgradg; /**< for var eij */ + double **gradgp, **trgradgp; /**< for var p point j */ + double *gpp, *gmp; /**< for var p point j */ + double **varppt; /**< for var p point j nlstate to nlstate+ndeath */ + double ***p3mat; + double age,agelim, hf; + /* double ***mobaverage; */ + int theta; + char digit[4]; + char digitp[25]; + + char fileresprobmorprev[FILENAMELENGTH]; + + if(popbased==1){ + if(mobilav!=0) + strcpy(digitp,"-POPULBASED-MOBILAV_"); + else strcpy(digitp,"-POPULBASED-NOMOBIL_"); + } + else + strcpy(digitp,"-STABLBASED_"); + + /* if (mobilav!=0) { */ + /* mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ + /* if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){ */ + /* fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); */ + /* printf(" Error in movingaverage mobilav=%d\n",mobilav); */ + /* } */ + /* } */ + + strcpy(fileresprobmorprev,"PRMORPREV-"); + sprintf(digit,"%-d",ij); + /*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/ + strcat(fileresprobmorprev,digit); /* Tvar to be done */ + strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */ + strcat(fileresprobmorprev,fileresu); + if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) { + printf("Problem with resultfile: %s\n", fileresprobmorprev); + fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev); + } + printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev); + fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev); + pstamp(ficresprobmorprev); + fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm); + fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies"); + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + for(j=1;j<=cptcoveff;j++) + fprintf(ficresprobmorprev,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,j)]); + fprintf(ficresprobmorprev,"\n"); + + fprintf(ficresprobmorprev,"# Age cov=%-d",ij); + for(j=nlstate+1; j<=(nlstate+ndeath);j++){ + fprintf(ficresprobmorprev," p.%-d SE",j); + for(i=1; i<=nlstate;i++) + fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j); + } + fprintf(ficresprobmorprev,"\n"); + + fprintf(ficgp,"\n# Routine varevsij"); + fprintf(ficgp,"\nunset title \n"); + /* fprintf(fichtm, "#Local time at start: %s", strstart);*/ + fprintf(fichtm,"\n

  • Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)

    • \n"); + fprintf(fichtm,"\n
    %s
    \n",digitp); + + varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + pstamp(ficresvij); + fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are "); + if(popbased==1) + fprintf(ficresvij,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d\n",mobilav); + else + fprintf(ficresvij,"the age specific period (stable) prevalences in each health state \n"); + fprintf(ficresvij,"# Age"); + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate;j++) + fprintf(ficresvij," Cov(e.%1d, e.%1d)",i,j); + fprintf(ficresvij,"\n"); + + xp=vector(1,npar); + dnewm=matrix(1,nlstate,1,npar); + doldm=matrix(1,nlstate,1,nlstate); + dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar); + doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + + gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath); + gpp=vector(nlstate+1,nlstate+ndeath); + gmp=vector(nlstate+1,nlstate+ndeath); + trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ + + if(estepm < stepm){ + printf ("Problem %d lower than %d\n",estepm, stepm); + } + else hstepm=estepm; + /* For example we decided to compute the life expectancy with the smallest unit */ + /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. + nhstepm is the number of hstepm from age to agelim + nstepm is the number of stepm from age to agelim. + Look at function hpijx to understand why because of memory size limitations, + we decided (b) to get a life expectancy respecting the most precise curvature of the + survival function given by stepm (the optimization length). Unfortunately it + means that if the survival funtion is printed every two years of age and if + you sum them up and add 1 year (area under the trapezoids) you won't get the same + results. So we changed our mind and took the option of the best precision. + */ + hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ + agelim = AGESUP; + for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ + nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + gradg=ma3x(0,nhstepm,1,npar,1,nlstate); + gp=matrix(0,nhstepm,1,nlstate); + gm=matrix(0,nhstepm,1,nlstate); + + + for(theta=1; theta <=npar; theta++){ + for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/ + xp[i] = x[i] + (i==theta ?delti[theta]:0); + } + /**< Computes the prevalence limit with parameter theta shifted of delta up to ftolpl precision and + * returns into prlim . + */ + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij, nres); + + /* If popbased = 1 we use crossection prevalences. Previous step is useless but prlim is created */ + if (popbased==1) { + if(mobilav ==0){ + for(i=1; i<=nlstate;i++) + prlim[i][i]=probs[(int)age][i][ij]; + }else{ /* mobilav */ + for(i=1; i<=nlstate;i++) + prlim[i][i]=mobaverage[(int)age][i][ij]; + } + } + /**< Computes the shifted transition matrix \f$ {}{h}_p^{ij}_x\f$ at horizon h. + */ + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); /* Returns p3mat[i][j][h] for h=0 to nhstepm */ + /**< And for each alive state j, sums over i \f$ w^i_x {}{h}_p^{ij}_x\f$, which are the probability + * at horizon h in state j including mortality. + */ + for(j=1; j<= nlstate; j++){ + for(h=0; h<=nhstepm; h++){ + for(i=1, gp[h][j]=0.;i<=nlstate;i++) + gp[h][j] += prlim[i][i]*p3mat[i][j][h]; + } + } + /* Next for computing shifted+ probability of death (h=1 means + computed over hstepm matrices product = hstepm*stepm months) + as a weighted average of prlim(i) * p(i,j) p.3=w1*p13 + w2*p23 . + */ + for(j=nlstate+1;j<=nlstate+ndeath;j++){ + for(i=1,gpp[j]=0.; i<= nlstate; i++) + gpp[j] += prlim[i][i]*p3mat[i][j][1]; + } + + /* Again with minus shift */ + + for(i=1; i<=npar; i++) /* Computes gradient x - delta */ + xp[i] = x[i] - (i==theta ?delti[theta]:0); + + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij, nres); + + if (popbased==1) { + if(mobilav ==0){ + for(i=1; i<=nlstate;i++) + prlim[i][i]=probs[(int)age][i][ij]; + }else{ /* mobilav */ + for(i=1; i<=nlstate;i++) + prlim[i][i]=mobaverage[(int)age][i][ij]; + } + } + + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); + + for(j=1; j<= nlstate; j++){ /* Sum of wi * eij = e.j */ + for(h=0; h<=nhstepm; h++){ + for(i=1, gm[h][j]=0.;i<=nlstate;i++) + gm[h][j] += prlim[i][i]*p3mat[i][j][h]; + } + } + /* This for computing probability of death (h=1 means + computed over hstepm matrices product = hstepm*stepm months) + as a weighted average of prlim. + */ + for(j=nlstate+1;j<=nlstate+ndeath;j++){ + for(i=1,gmp[j]=0.; i<= nlstate; i++) + gmp[j] += prlim[i][i]*p3mat[i][j][1]; + } + /* end shifting computations */ + + /**< Computing gradient matrix at horizon h + */ + for(j=1; j<= nlstate; j++) /* vareij */ + for(h=0; h<=nhstepm; h++){ + gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta]; + } + /**< Gradient of overall mortality p.3 (or p.j) + */ + for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu mortality from j */ + gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta]; + } + + } /* End theta */ + + /* We got the gradient matrix for each theta and state j */ + trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */ + + for(h=0; h<=nhstepm; h++) /* veij */ + for(j=1; j<=nlstate;j++) + for(theta=1; theta <=npar; theta++) + trgradg[h][j][theta]=gradg[h][theta][j]; + + for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */ + for(theta=1; theta <=npar; theta++) + trgradgp[j][theta]=gradgp[theta][j]; + /**< as well as its transposed matrix + */ + + hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ + for(i=1;i<=nlstate;i++) + for(j=1;j<=nlstate;j++) + vareij[i][j][(int)age] =0.; + + /* Computing trgradg by matcov by gradg at age and summing over h + * and k (nhstepm) formula 15 of article + * Lievre-Brouard-Heathcote + */ + + for(h=0;h<=nhstepm;h++){ + for(k=0;k<=nhstepm;k++){ + matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]); + for(i=1;i<=nlstate;i++) + for(j=1;j<=nlstate;j++) + vareij[i][j][(int)age] += doldm[i][j]*hf*hf; + } + } + + /* pptj is p.3 or p.j = trgradgp by cov by gradgp, variance of + * p.j overall mortality formula 49 but computed directly because + * we compute the grad (wix pijx) instead of grad (pijx),even if + * wix is independent of theta. + */ + matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov); + matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp); + for(j=nlstate+1;j<=nlstate+ndeath;j++) + for(i=nlstate+1;i<=nlstate+ndeath;i++) + varppt[j][i]=doldmp[j][i]; + /* end ppptj */ + /* x centered again */ + + prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij, nres); + + if (popbased==1) { + if(mobilav ==0){ + for(i=1; i<=nlstate;i++) + prlim[i][i]=probs[(int)age][i][ij]; + }else{ /* mobilav */ + for(i=1; i<=nlstate;i++) + prlim[i][i]=mobaverage[(int)age][i][ij]; + } + } + + /* This for computing probability of death (h=1 means + computed over hstepm (estepm) matrices product = hstepm*stepm months) + as a weighted average of prlim. + */ + hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij, nres); + for(j=nlstate+1;j<=nlstate+ndeath;j++){ + for(i=1,gmp[j]=0.;i<= nlstate; i++) + gmp[j] += prlim[i][i]*p3mat[i][j][1]; + } + /* end probability of death */ + + fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij); + for(j=nlstate+1; j<=(nlstate+ndeath);j++){ + fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j])); + for(i=1; i<=nlstate;i++){ + fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]); + } + } + fprintf(ficresprobmorprev,"\n"); + + fprintf(ficresvij,"%.0f ",age ); + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate;j++){ + fprintf(ficresvij," %.4f", vareij[i][j][(int)age]); + } + fprintf(ficresvij,"\n"); + free_matrix(gp,0,nhstepm,1,nlstate); + free_matrix(gm,0,nhstepm,1,nlstate); + free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate); + free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar); + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + } /* End age */ + free_vector(gpp,nlstate+1,nlstate+ndeath); + free_vector(gmp,nlstate+1,nlstate+ndeath); + free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath); + free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ + /* fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240"); */ + fprintf(ficgp,"\nunset parametric;unset label; set ter svg size 640, 480"); + /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */ + fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";"); + fprintf(ficgp,"\nset out \"%s%s.svg\";",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); + /* fprintf(ficgp,"\n plot \"%s\" u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */ + /* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */ + /* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */ + fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev)); + fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev)); + fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev)); + fprintf(fichtm,"\n
    File (multiple files are possible if covariates are present): %s\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev)); + fprintf(fichtm,"\n
    Probability is computed over estepm=%d months.

    \n", estepm,subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); + /* fprintf(fichtm,"\n
    Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year

    \n", stepm,YEARM,digitp,digit); + */ + /* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.svg\";replot;",digitp,optionfilefiname,digit); */ + fprintf(ficgp,"\nset out;\nset out \"%s%s.svg\";replot;set out;\n",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); - char fileresprobmorprev[FILENAMELENGTH]; + free_vector(xp,1,npar); + free_matrix(doldm,1,nlstate,1,nlstate); + free_matrix(dnewm,1,nlstate,1,npar); + free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar); + free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); + /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ + fclose(ficresprobmorprev); + fflush(ficgp); + fflush(fichtm); + } /* end varevsij */ - if(popbased==1){ - if(mobilav!=0) - strcpy(digitp,"-POPULBASED-MOBILAV_"); - else strcpy(digitp,"-POPULBASED-NOMOBIL_"); - } - else - strcpy(digitp,"-STABLBASED_"); - - if (mobilav!=0) { - mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){ - fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); - printf(" Error in movingaverage mobilav=%d\n",mobilav); - } - } +/************ Variance of prevlim ******************/ + void varprevlim(char fileresvpl[], FILE *ficresvpl, double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, char strstart[], int nres) +{ + /* Variance of prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/ + /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ - strcpy(fileresprobmorprev,"PRMORPREV-"); - sprintf(digit,"%-d",ij); - /*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/ - strcat(fileresprobmorprev,digit); /* Tvar to be done */ - strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */ - strcat(fileresprobmorprev,fileresu); - if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) { - printf("Problem with resultfile: %s\n", fileresprobmorprev); - fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev); - } - printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev); - fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev); - pstamp(ficresprobmorprev); - fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm); - fprintf(ficresprobmorprev,"# Age cov=%-d",ij); - for(j=nlstate+1; j<=(nlstate+ndeath);j++){ - fprintf(ficresprobmorprev," p.%-d SE",j); - for(i=1; i<=nlstate;i++) - fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j); - } - fprintf(ficresprobmorprev,"\n"); - - fprintf(ficgp,"\n# Routine varevsij"); - fprintf(ficgp,"\nunset title \n"); -/* fprintf(fichtm, "#Local time at start: %s", strstart);*/ - fprintf(fichtm,"\n

  • Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)

    • \n"); - fprintf(fichtm,"\n
    %s
    \n",digitp); -/* } */ - varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - pstamp(ficresvij); - fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are "); - if(popbased==1) - fprintf(ficresvij,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d\n",mobilav); - else - fprintf(ficresvij,"the age specific period (stable) prevalences in each health state \n"); - fprintf(ficresvij,"# Age"); + double **dnewmpar,**doldm; + int i, j, nhstepm, hstepm; + double *xp; + double *gp, *gm; + double **gradg, **trgradg; + double **mgm, **mgp; + double age,agelim; + int theta; + + pstamp(ficresvpl); + fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n"); + fprintf(ficresvpl,"# Age "); + if(nresult >=1) + fprintf(ficresvpl," Result# "); for(i=1; i<=nlstate;i++) - for(j=1; j<=nlstate;j++) - fprintf(ficresvij," Cov(e.%1d, e.%1d)",i,j); - fprintf(ficresvij,"\n"); + fprintf(ficresvpl," %1d-%1d",i,i); + fprintf(ficresvpl,"\n"); xp=vector(1,npar); - dnewm=matrix(1,nlstate,1,npar); + dnewmpar=matrix(1,nlstate,1,npar); doldm=matrix(1,nlstate,1,nlstate); - dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar); - doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - - gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath); - gpp=vector(nlstate+1,nlstate+ndeath); - gmp=vector(nlstate+1,nlstate+ndeath); - trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ - if(estepm < stepm){ - printf ("Problem %d lower than %d\n",estepm, stepm); - } - else hstepm=estepm; - /* For example we decided to compute the life expectancy with the smallest unit */ - /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. - nhstepm is the number of hstepm from age to agelim - nstepm is the number of stepm from age to agelim. - Look at function hpijx to understand why because of memory size limitations, - we decided (b) to get a life expectancy respecting the most precise curvature of the - survival function given by stepm (the optimization length). Unfortunately it - means that if the survival funtion is printed every two years of age and if - you sum them up and add 1 year (area under the trapezoids) you won't get the same - results. So we changed our mind and took the option of the best precision. - */ - hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ + hstepm=1*YEARM; /* Every year of age */ + hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */ agelim = AGESUP; for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ - nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ - nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ - p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); - gradg=ma3x(0,nhstepm,1,npar,1,nlstate); - gp=matrix(0,nhstepm,1,nlstate); - gm=matrix(0,nhstepm,1,nlstate); - + nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + if (stepm >= YEARM) hstepm=1; + nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ + gradg=matrix(1,npar,1,nlstate); + mgp=matrix(1,npar,1,nlstate); + mgm=matrix(1,npar,1,nlstate); + gp=vector(1,nlstate); + gm=vector(1,nlstate); for(theta=1; theta <=npar; theta++){ - for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/ + for(i=1; i<=npar; i++){ /* Computes gradient */ xp[i] = x[i] + (i==theta ?delti[theta]:0); } - - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); - - if (popbased==1) { - if(mobilav ==0){ - for(i=1; i<=nlstate;i++) - prlim[i][i]=probs[(int)age][i][ij]; - }else{ /* mobilav */ - for(i=1; i<=nlstate;i++) - prlim[i][i]=mobaverage[(int)age][i][ij]; - } - } - - hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); /* Returns p3mat[i][j][h] for h=1 to nhstepm */ - for(j=1; j<= nlstate; j++){ - for(h=0; h<=nhstepm; h++){ - for(i=1, gp[h][j]=0.;i<=nlstate;i++) - gp[h][j] += prlim[i][i]*p3mat[i][j][h]; - } + if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); + else + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); + for(i=1;i<=nlstate;i++){ + gp[i] = prlim[i][i]; + mgp[theta][i] = prlim[i][i]; } - /* Next for computing probability of death (h=1 means - computed over hstepm matrices product = hstepm*stepm months) - as a weighted average of prlim. - */ - for(j=nlstate+1;j<=nlstate+ndeath;j++){ - for(i=1,gpp[j]=0.; i<= nlstate; i++) - gpp[j] += prlim[i][i]*p3mat[i][j][1]; - } - /* end probability of death */ - - for(i=1; i<=npar; i++) /* Computes gradient x - delta */ + for(i=1; i<=npar; i++) /* Computes gradient */ xp[i] = x[i] - (i==theta ?delti[theta]:0); - - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij); - - if (popbased==1) { - if(mobilav ==0){ - for(i=1; i<=nlstate;i++) - prlim[i][i]=probs[(int)age][i][ij]; - }else{ /* mobilav */ - for(i=1; i<=nlstate;i++) - prlim[i][i]=mobaverage[(int)age][i][ij]; - } - } - - hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); - - for(j=1; j<= nlstate; j++){ /* Sum of wi * eij = e.j */ - for(h=0; h<=nhstepm; h++){ - for(i=1, gm[h][j]=0.;i<=nlstate;i++) - gm[h][j] += prlim[i][i]*p3mat[i][j][h]; - } - } - /* This for computing probability of death (h=1 means - computed over hstepm matrices product = hstepm*stepm months) - as a weighted average of prlim. - */ - for(j=nlstate+1;j<=nlstate+ndeath;j++){ - for(i=1,gmp[j]=0.; i<= nlstate; i++) - gmp[j] += prlim[i][i]*p3mat[i][j][1]; - } - /* end probability of death */ - - for(j=1; j<= nlstate; j++) /* vareij */ - for(h=0; h<=nhstepm; h++){ - gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta]; - } - - for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */ - gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta]; + if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); + else + prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); + for(i=1;i<=nlstate;i++){ + gm[i] = prlim[i][i]; + mgm[theta][i] = prlim[i][i]; } - + for(i=1;i<=nlstate;i++) + gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta]; + /* gradg[theta][2]= -gradg[theta][1]; */ /* For testing if nlstate=2 */ } /* End theta */ - trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */ - - for(h=0; h<=nhstepm; h++) /* veij */ - for(j=1; j<=nlstate;j++) - for(theta=1; theta <=npar; theta++) - trgradg[h][j][theta]=gradg[h][theta][j]; + trgradg =matrix(1,nlstate,1,npar); - for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */ + for(j=1; j<=nlstate;j++) for(theta=1; theta <=npar; theta++) - trgradgp[j][theta]=gradgp[theta][j]; - + trgradg[j][theta]=gradg[theta][j]; + /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */ + /* printf("\nmgm mgp %d ",(int)age); */ + /* for(j=1; j<=nlstate;j++){ */ + /* printf(" %d ",j); */ + /* for(theta=1; theta <=npar; theta++) */ + /* printf(" %d %lf %lf",theta,mgm[theta][j],mgp[theta][j]); */ + /* printf("\n "); */ + /* } */ + /* } */ + /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */ + /* printf("\n gradg %d ",(int)age); */ + /* for(j=1; j<=nlstate;j++){ */ + /* printf("%d ",j); */ + /* for(theta=1; theta <=npar; theta++) */ + /* printf("%d %lf ",theta,gradg[theta][j]); */ + /* printf("\n "); */ + /* } */ + /* } */ - hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ for(i=1;i<=nlstate;i++) - for(j=1;j<=nlstate;j++) - vareij[i][j][(int)age] =0.; - - for(h=0;h<=nhstepm;h++){ - for(k=0;k<=nhstepm;k++){ - matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]); - for(i=1;i<=nlstate;i++) - for(j=1;j<=nlstate;j++) - vareij[i][j][(int)age] += doldm[i][j]*hf*hf; - } - } - - /* pptj */ - matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov); - matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp); - for(j=nlstate+1;j<=nlstate+ndeath;j++) - for(i=nlstate+1;i<=nlstate+ndeath;i++) - varppt[j][i]=doldmp[j][i]; - /* end ppptj */ - /* x centered again */ - - prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij); - - if (popbased==1) { - if(mobilav ==0){ - for(i=1; i<=nlstate;i++) - prlim[i][i]=probs[(int)age][i][ij]; - }else{ /* mobilav */ - for(i=1; i<=nlstate;i++) - prlim[i][i]=mobaverage[(int)age][i][ij]; - } + varpl[i][(int)age] =0.; + if((int)age==79 ||(int)age== 80 ||(int)age== 81){ + matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg); + }else{ + matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg); } - - /* This for computing probability of death (h=1 means - computed over hstepm (estepm) matrices product = hstepm*stepm months) - as a weighted average of prlim. - */ - hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij); - for(j=nlstate+1;j<=nlstate+ndeath;j++){ - for(i=1,gmp[j]=0.;i<= nlstate; i++) - gmp[j] += prlim[i][i]*p3mat[i][j][1]; - } - /* end probability of death */ - - fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij); - for(j=nlstate+1; j<=(nlstate+ndeath);j++){ - fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j])); - for(i=1; i<=nlstate;i++){ - fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]); - } - } - fprintf(ficresprobmorprev,"\n"); + for(i=1;i<=nlstate;i++) + varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ - fprintf(ficresvij,"%.0f ",age ); + fprintf(ficresvpl,"%.0f ",age ); + if(nresult >=1) + fprintf(ficresvpl,"%d ",nres ); for(i=1; i<=nlstate;i++) - for(j=1; j<=nlstate;j++){ - fprintf(ficresvij," %.4f", vareij[i][j][(int)age]); - } - fprintf(ficresvij,"\n"); - free_matrix(gp,0,nhstepm,1,nlstate); - free_matrix(gm,0,nhstepm,1,nlstate); - free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate); - free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar); - free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age])); + fprintf(ficresvpl,"\n"); + free_vector(gp,1,nlstate); + free_vector(gm,1,nlstate); + free_matrix(mgm,1,npar,1,nlstate); + free_matrix(mgp,1,npar,1,nlstate); + free_matrix(gradg,1,npar,1,nlstate); + free_matrix(trgradg,1,nlstate,1,npar); } /* End age */ - free_vector(gpp,nlstate+1,nlstate+ndeath); - free_vector(gmp,nlstate+1,nlstate+ndeath); - free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath); - free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/ - /* fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240"); */ - fprintf(ficgp,"\nunset parametric;unset label; set ter svg size 640, 480"); - /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */ - fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";"); - fprintf(ficgp,"\nset out \"%s%s.svg\";",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); -/* fprintf(ficgp,"\n plot \"%s\" u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */ -/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */ -/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */ - fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev)); - fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev)); - fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev)); - fprintf(fichtm,"\n
    File (multiple files are possible if covariates are present): %s\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev)); - fprintf(fichtm,"\n
    Probability is computed over estepm=%d months.

    \n", estepm,subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); - /* fprintf(fichtm,"\n
    Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year

    \n", stepm,YEARM,digitp,digit); -*/ -/* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.svg\";replot;",digitp,optionfilefiname,digit); */ - fprintf(ficgp,"\nset out;\nset out \"%s%s.svg\";replot;set out;\n",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit); free_vector(xp,1,npar); - free_matrix(doldm,1,nlstate,1,nlstate); - free_matrix(dnewm,1,nlstate,1,npar); - free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar); - free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath); - if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - fclose(ficresprobmorprev); - fflush(ficgp); - fflush(fichtm); -} /* end varevsij */ + free_matrix(doldm,1,nlstate,1,npar); + free_matrix(dnewmpar,1,nlstate,1,nlstate); -/************ Variance of prevlim ******************/ - void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, char strstart[]) +} + + +/************ Variance of backprevalence limit ******************/ + void varbrevlim(char fileresvbl[], FILE *ficresvbl, double **varbpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **bprlim, double ftolpl, int mobilavproj, int *ncvyearp, int ij, char strstart[], int nres) { - /* Variance of prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/ + /* Variance of backward prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/ /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/ - double **dnewm,**doldm; + double **dnewmpar,**doldm; int i, j, nhstepm, hstepm; double *xp; double *gp, *gm; @@ -4521,22 +6296,24 @@ void cvevsij(double ***eij, double x[], double age,agelim; int theta; - pstamp(ficresvpl); - fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n"); - fprintf(ficresvpl,"# Age"); + pstamp(ficresvbl); + fprintf(ficresvbl,"# Standard deviation of back (stable) prevalences \n"); + fprintf(ficresvbl,"# Age "); + if(nresult >=1) + fprintf(ficresvbl," Result# "); for(i=1; i<=nlstate;i++) - fprintf(ficresvpl," %1d-%1d",i,i); - fprintf(ficresvpl,"\n"); + fprintf(ficresvbl," %1d-%1d",i,i); + fprintf(ficresvbl,"\n"); xp=vector(1,npar); - dnewm=matrix(1,nlstate,1,npar); + dnewmpar=matrix(1,nlstate,1,npar); doldm=matrix(1,nlstate,1,nlstate); hstepm=1*YEARM; /* Every year of age */ hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */ - agelim = AGESUP; - for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ - nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + agelim = AGEINF; + for (age=fage; age>=bage; age --){ /* If stepm=6 months */ + nhstepm=(int) rint((age-agelim)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ if (stepm >= YEARM) hstepm=1; nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ gradg=matrix(1,npar,1,nlstate); @@ -4549,23 +6326,23 @@ void cvevsij(double ***eij, double x[], for(i=1; i<=npar; i++){ /* Computes gradient */ xp[i] = x[i] + (i==theta ?delti[theta]:0); } - if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + if(mobilavproj > 0 ) + bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres); else - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres); for(i=1;i<=nlstate;i++){ - gp[i] = prlim[i][i]; - mgp[theta][i] = prlim[i][i]; + gp[i] = bprlim[i][i]; + mgp[theta][i] = bprlim[i][i]; } - for(i=1; i<=npar; i++) /* Computes gradient */ + for(i=1; i<=npar; i++) /* Computes gradient */ xp[i] = x[i] - (i==theta ?delti[theta]:0); - if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); - else - prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij); + if(mobilavproj > 0 ) + bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres); + else + bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres); for(i=1;i<=nlstate;i++){ - gm[i] = prlim[i][i]; - mgm[theta][i] = prlim[i][i]; + gm[i] = bprlim[i][i]; + mgm[theta][i] = bprlim[i][i]; } for(i=1;i<=nlstate;i++) gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta]; @@ -4597,21 +6374,23 @@ void cvevsij(double ***eij, double x[], /* } */ for(i=1;i<=nlstate;i++) - varpl[i][(int)age] =0.; + varbpl[i][(int)age] =0.; if((int)age==79 ||(int)age== 80 ||(int)age== 81){ - matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); + matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg); }else{ - matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg); + matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov); + matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg); } for(i=1;i<=nlstate;i++) - varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ + varbpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */ - fprintf(ficresvpl,"%.0f ",age ); + fprintf(ficresvbl,"%.0f ",age ); + if(nresult >=1) + fprintf(ficresvbl,"%d ",nres ); for(i=1; i<=nlstate;i++) - fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age])); - fprintf(ficresvpl,"\n"); + fprintf(ficresvbl," %.5f (%.5f)",bprlim[i][i],sqrt(varbpl[i][(int)age])); + fprintf(ficresvbl,"\n"); free_vector(gp,1,nlstate); free_vector(gm,1,nlstate); free_matrix(mgm,1,npar,1,nlstate); @@ -4622,92 +6401,92 @@ void cvevsij(double ***eij, double x[], free_vector(xp,1,npar); free_matrix(doldm,1,nlstate,1,npar); - free_matrix(dnewm,1,nlstate,1,nlstate); + free_matrix(dnewmpar,1,nlstate,1,nlstate); } /************ 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"); - - - 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 \ + { + 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. %s
    • \n",optionfilehtmcov,optionfilehtmcov); + fprintf(fichtmcov,"Current page is file %s
    \n\n

    Matrix of variance-covariance of pairs of step probabilities

    \n",optionfilehtmcov, optionfilehtmcov); + fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated \ and drawn. It helps understanding how is the covariance between two incidences.\ 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.
    \ @@ -4715,265 +6494,273 @@ 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 */ + if(1+(v1-lc1)*(v1-lc1)/cv12/cv12 <1.e-5){ + printf(" Error sqrt of a negative number: %lf\n",1+(v1-lc1)*(v1-lc1)/cv12/cv12); + fprintf(ficlog," Error sqrt of a negative number: %lf\n",1+(v1-lc1)*(v1-lc1)/cv12/cv12); + v11=(1./sqrt(fabs(1+(v1-lc1)*(v1-lc1)/cv12/cv12))); + }else + 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(fabs(lc1)),v12,sqrt(fabs(lc2)), \ + mu2,std,v21,sqrt(fabs(lc1)),v22,sqrt(fabs(lc2))); /* For gnuplot only */ + }else{ + first=0; + fprintf(fichtmcov," %d (%.3f),",(int) age, c12); + fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2); + fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2); + fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \ + mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)), \ + mu2,std,v21,sqrt(lc1),v22,sqrt(fabs(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 ***********/ void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \ int lastpass, int stepm, int weightopt, char model[],\ int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ - int popforecast, int prevfcast, int estepm , \ - double jprev1, double mprev1,double anprev1, double dateprev1, \ - double jprev2, double mprev2,double anprev2, double dateprev2){ - int jj1, k1, i1, cpt; + int popforecast, int mobilav, int prevfcast, int mobilavproj, int backcast, int estepm , \ + double jprev1, double mprev1,double anprev1, double dateprev1, double dateproj1, double dateback1, \ + double jprev2, double mprev2,double anprev2, double dateprev2, double dateproj2, double dateback2){ + int jj1, k1, i1, cpt, k4, nres; fprintf(fichtm,"

    "); + fprintf(fichtm,"
    • model=1+age+%s\n \ +
    ", model); fprintf(fichtm,"

    • Result files (first order: no variance)

      \n"); fprintf(fichtm,"
    • - Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): %s (html file)
      \n", jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); @@ -4984,9 +6771,15 @@ void printinghtml(char fileresu[], char - Estimated transition probabilities over %d (stepm) months: %s
      \n ", stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_")); fprintf(fichtm,"\ + - Estimated back transition probabilities over %d (stepm) months: %s
      \n ", + stepm,subdirf2(fileresu,"PIJB_"),subdirf2(fileresu,"PIJB_")); + fprintf(fichtm,"\ - Period (stable) prevalence in each health state: %s
      \n", subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_")); fprintf(fichtm,"\ + - Period (stable) back prevalence in each health state: %s
      \n", + subdirf2(fileresu,"PLB_"),subdirf2(fileresu,"PLB_")); + fprintf(fichtm,"\ - (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \ %s
      \n", estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_")); @@ -4996,68 +6789,148 @@ void printinghtml(char fileresu[], char %s
      \n
      • ", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_")); } -fprintf(fichtm," \n"); - 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).
      \ @@ -5069,32 +6942,32 @@ 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 */ @@ -5102,47 +6975,69 @@ 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," "); + fflush(fichtm); } /******************* Gnuplot file **************/ - void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, char pathc[], double p[]){ +void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double bage, double fage , int prevfcast, int backcast, char pathc[], double p[], int offyear, int offbyear){ char dirfileres[132],optfileres[132]; - int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; + char gplotcondition[132], gplotlabel[132]; + int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,ij=0, ijp=0, l=0; int lv=0, vlv=0, kl=0; int ng=0; int vpopbased; + int ioffset; /* variable offset for columns */ + int iyearc=1; /* variable column for year of projection */ + int iagec=1; /* variable column for age of projection */ + int nres=0; /* Index of resultline */ + int istart=1; /* For starting graphs in projections */ + /* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ /* printf("Problem with file %s",optionfilegnuplot); */ /* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */ @@ -5150,357 +7045,759 @@ true period expectancies (those weighted /*#ifdef windows */ fprintf(ficgp,"cd \"%s\" \n",pathc); - /*#endif */ + /*#endif */ m=pow(2,cptcoveff); + /* diagram of the model */ + fprintf(ficgp,"\n#Diagram of the model \n"); + fprintf(ficgp,"\ndelta=0.03;delta2=0.07;unset arrow;\n"); + fprintf(ficgp,"yoff=(%d > 2? 0:1);\n",nlstate); + fprintf(ficgp,"\n#Peripheral arrows\nset for [i=1:%d] for [j=1:%d] arrow i*10+j from cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.95*(cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) - cos(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta2:0)), -0.95*(sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) - sin(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d))+( i!=j?(i-j)/abs(i-j)*delta2:0)) ls (i < j? 1:2)\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); + + fprintf(ficgp,"\n#Centripete arrows (turning in other direction (1-i) instead of (i-1)) \nset for [i=1:%d] arrow (%d+1)*10+i from cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.80*(cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) ), -0.80*(sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) + yoff ) ls 4\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); + fprintf(ficgp,"\n#show arrow\nunset label\n"); + fprintf(ficgp,"\n#States labels, starting from 2 (2-i) instead of (1-i), was (i-1)\nset for [i=1:%d] label i sprintf(\"State %%d\",i) center at cos(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)), yoff+sin(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)) font \"helvetica, 16\" tc rgbcolor \"blue\"\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate); + fprintf(ficgp,"\nset label %d+1 sprintf(\"State %%d\",%d+1) center at 0.,0. font \"helvetica, 16\" tc rgbcolor \"red\"\n",nlstate,nlstate); + fprintf(ficgp,"\n#show label\nunset border;unset xtics; unset ytics;\n"); + fprintf(ficgp,"\n\nset ter svg size 640, 480;set out \"%s_.svg\" \n",subdirf2(optionfilefiname,"D_")); + fprintf(ficgp,"unset log y; plot [-1.2:1.2][yoff-1.2:1.2] 1/0 not; set out;reset;\n"); + /* 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*/ - for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */ - for (k1=1; k1<= m ; k1 ++) { /* For each 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 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[lv]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); - } - fprintf(ficgp,"\n#\n"); + /* 1eme*/ + for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */ + for (k1=1; k1<= m ; k1 ++){ /* For each valid combination of covariate */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ + if(m != 1 && TKresult[nres]!= k1) + continue; + /* We are interested in selected combination by the resultline */ + /* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */ + fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); + strcpy(gplotlabel,"("); + for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */ + /* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */ + /* printf(" V%d=%d ",Tvaraff[k],vlv); */ + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + /* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + /* printf("\n#\n"); */ + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + /*k1=k1-1;*/ /* To be checked */ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres); + fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres); + /* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */ + fprintf(ficgp,"set title \"Alive state %d %s\" font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); + /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */ + /* k1-1 error should be nres-1*/ + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + /* fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); */ + + fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" u 1:((",subdirf2(fileresu,"P_")); + if(cptcoveff ==0){ + fprintf(ficgp,"$%d)) t 'Observed prevalence in state %d' with line lt 3", 2+3*(cpt-1), cpt ); + }else{ + kl=0; + for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + kl++; + /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ + /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ + /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ + /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ + if(k==cptcoveff){ + fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Observed prevalence in state %d' w l lt 2",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ + 2+cptcoveff*2+3*(cpt-1), cpt ); /* 4 or 6 ?*/ + }else{ + fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); + kl++; + } + } /* end covariate */ + } /* end if no covariate */ - 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)); - fprintf(ficgp,"\nset out \n"); + if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */ + /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */ + fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1, nres in 2 to be fixed */ + if(cptcoveff ==0){ + fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line lt 3", 2+(cpt-1), cpt ); + }else{ + kl=0; + for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + kl++; + /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */ + /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */ + /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */ + /* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/ + if(k==cptcoveff){ + fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \ + 2+cptcoveff*2+(cpt-1), cpt ); /* 4 or 6 ?*/ + }else{ + fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]); + kl++; + } + } /* end covariate */ + } /* end if no covariate */ + if(backcast == 1){ + fprintf(ficgp,", \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres); + /* k1-1 error should be nres-1*/ + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"Backward (stable) prevalence\" w l lt 6 dt 3,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"95%% CI\" w l lt 4,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres); + for (i=1; i<= nlstate ; i ++) { + if (i==cpt) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"\" w l lt 4"); + } /* end if backprojcast */ + } /* end if backcast */ + /* fprintf(ficgp,"\nset out ;unset label;\n"); */ + fprintf(ficgp,"\nset out ;unset title;\n"); + } /* nres */ } /* k1 */ } /* cpt */ + + /*2 eme*/ - for (k1=1; k1<= m ; k1 ++) { + for (k1=1; k1<= m ; k1 ++){ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); + strcpy(gplotlabel,"("); for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ /* 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[lv]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + /* for(k=1; k <= ncovds; k++){ */ + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); } + strcpy(gplotlabel+strlen(gplotlabel),")"); fprintf(ficgp,"\n#\n"); - - 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+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased); - for (j=1; j<= nlstate+1 ; j ++) { - if (j==i) fprintf(ficgp," %%lf (%%lf)"); - else fprintf(ficgp," %%*lf (%%*lf)"); - } - if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); - else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); - } /* state */ - } /* vpopbased */ - fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ - } /* k1 */ - - - /*3eme*/ - for (k1=1; k1<= m ; k1 ++) { - for (cpt=1; cpt<= nlstate ; cpt ++) { - fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); - for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ - lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ - /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ - /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ - /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ - vlv= nbcode[Tvaraff[lv]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; } - fprintf(ficgp,"\n#\n"); - - /* k=2+nlstate*(2*cpt-2); */ - k=2+(nlstate+1)*(cpt-1); - fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); - fprintf(ficgp,"set ter svg size 640, 480\n\ -plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt); - /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); - for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); - fprintf(ficgp,"\" t \"e%d1\" w l",cpt); - fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); - for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); - fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + + fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1,nres); + for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ + fprintf(ficgp,"\nset label \"popbased %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",vpopbased,gplotlabel); + if(vpopbased==0){ + fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage); + }else + fprintf(ficgp,"\nreplot "); + for (i=1; i<= nlstate+1 ; i ++) { + k=2*i; + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1, vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i); + else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1); + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + fprintf(ficgp,"\" t\"\" w l lt 0,"); + fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased); + for (j=1; j<= nlstate+1 ; j ++) { + if (j==i) fprintf(ficgp," %%lf (%%lf)"); + else fprintf(ficgp," %%*lf (%%*lf)"); + } + if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0"); + else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n"); + } /* state */ + } /* vpopbased */ + fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */ + } /* end nres */ + } /* k1 end 2 eme*/ - */ - for (i=1; i< nlstate ; i ++) { - fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+i,cpt,i+1); - /* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/ - } - fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt); - } - } + /*3eme*/ + for (k1=1; k1<= m ; k1 ++){ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + + for (cpt=1; cpt<= nlstate ; cpt ++) { + fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt); + strcpy(gplotlabel,"("); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + /* k=2+nlstate*(2*cpt-2); */ + k=2+(nlstate+1)*(cpt-1); + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres); + fprintf(ficgp,"set label \"%s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel); + fprintf(ficgp,"set ter svg size 640, 480\n\ +plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),nres-1,nres-1,k,cpt); + /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); + fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); + fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + + */ + for (i=1; i< nlstate ; i ++) { + fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),nres-1,nres-1,k+i,cpt,i+1); + /* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/ + + } + fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),nres-1,nres-1,k+nlstate,cpt); + } + fprintf(ficgp,"\nunset label;\n"); + } /* end nres */ + } /* end kl 3eme */ + /* 4eme */ /* Survival functions (period) from state i in state j by initial state i */ - for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */ - for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ - fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); - for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ - lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ - /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ - /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ - /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ - vlv= nbcode[Tvaraff[lv]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); - } - fprintf(ficgp,"\n#\n"); - - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); - fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ -set ter svg size 640, 480\n\ -unset log y\n\ -plot [%.f:%.f] ", ageminpar, agemaxpar); - k=3; - for (i=1; i<= nlstate ; i ++){ - if(i==1) - fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); - else - fprintf(ficgp,", '' "); - l=(nlstate+ndeath)*(i-1)+1; - fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); - for (j=2; j<= nlstate+ndeath ; j ++) - fprintf(ficgp,"+$%d",k+l+j-1); - fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt); - } /* nlstate */ - fprintf(ficgp,"\nset out\n"); - } /* end cpt state*/ - } /* end covariate */ + for (k1=1; k1<=m; k1++){ /* For each covariate and each value */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/ + strcpy(gplotlabel,"("); + fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres); + fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; + for (i=1; i<= nlstate ; i ++){ + if(i==1){ + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); + }else{ + fprintf(ficgp,", '' "); + } + l=(nlstate+ndeath)*(i-1)+1; + fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); + for (j=2; j<= nlstate+ndeath ; j ++) + fprintf(ficgp,"+$%d",k+l+j-1); + fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt); + } /* nlstate */ + fprintf(ficgp,"\nset out; unset label;\n"); + } /* end cpt state*/ + } /* end nres */ + } /* end covariate k1 */ +/* 5eme */ /* Survival functions (period) from state i in state j by final state j */ - for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ - for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ - fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); - for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ - lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ - /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ - /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ - /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ - vlv= nbcode[Tvaraff[lv]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); - } - fprintf(ficgp,"\n#\n"); - - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); - fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ -set ter svg size 640, 480\n\ -unset log y\n\ -plot [%.f:%.f] ", ageminpar, agemaxpar); - k=3; - for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ - if(j==1) - fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); - else - fprintf(ficgp,", '' "); - l=(nlstate+ndeath)*(cpt-1) +j; - fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); - /* for (i=2; i<= nlstate+ndeath ; i ++) */ - /* fprintf(ficgp,"+$%d",k+l+i-1); */ - fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); - } /* nlstate */ - fprintf(ficgp,", '' "); - fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); - for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ - l=(nlstate+ndeath)*(cpt-1) +j; - if(j < nlstate) - fprintf(ficgp,"$%d +",k+l); - else - fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); - } - fprintf(ficgp,"\nset out\n"); - } /* end cpt state*/ - } /* end covariate */ - + for (k1=1; k1<= m ; k1++){ /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ + strcpy(gplotlabel,"("); + fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres); + fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; + for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ + if(j==1) + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); + else + fprintf(ficgp,", '' "); + l=(nlstate+ndeath)*(cpt-1) +j; + fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l); + /* for (i=2; i<= nlstate+ndeath ; i ++) */ + /* fprintf(ficgp,"+$%d",k+l+i-1); */ + fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j); + } /* nlstate */ + fprintf(ficgp,", '' "); + fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1); + for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ + l=(nlstate+ndeath)*(cpt-1) +j; + if(j < nlstate) + fprintf(ficgp,"$%d +",k+l); + else + fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt); + } + fprintf(ficgp,"\nset out; unset label;\n"); + } /* end cpt state*/ + } /* end covariate */ + } /* end nres */ + +/* 6eme */ /* CV preval stable (period) for each covariate */ - for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ - for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */ + strcpy(gplotlabel,"("); fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ /* 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[lv]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); - } + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); fprintf(ficgp,"\n#\n"); - - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1,nres); + fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ -set ter svg size 640, 480\n\ -unset log y\n\ -plot [%.f:%.f] ", ageminpar, agemaxpar); +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); k=3; /* Offset */ - for (i=1; i<= nlstate ; i ++){ + for (i=1; i<= nlstate ; i ++){ /* State of origin */ if(i==1) fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); else fprintf(ficgp,", '' "); - l=(nlstate+ndeath)*(i-1)+1; + l=(nlstate+ndeath)*(i-1)+1; /* 1, 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); for (j=2; j<= nlstate ; j ++) fprintf(ficgp,"+$%d",k+l+j-1); fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt); } /* nlstate */ - fprintf(ficgp,"\nset out\n"); + fprintf(ficgp,"\nset out; unset label;\n"); } /* end cpt state*/ } /* end covariate */ - + + +/* 7eme */ + if(backcast == 1){ + /* CV back preval stable (period) for each covariate */ + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */ + strcpy(gplotlabel,"("); + fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pijb' files, covariatecombination#=%d state=%d",k1, cpt); + for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1,nres); + fprintf(ficgp,"set label \"Origin alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + k=3; /* Offset */ + for (i=1; i<= nlstate ; i ++){ /* State of arrival */ + if(i==1) + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_")); + else + fprintf(ficgp,", '' "); + /* l=(nlstate+ndeath)*(i-1)+1; */ + l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */ + /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */ + /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */ + fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */ + /* for (j=2; j<= nlstate ; j ++) */ + /* fprintf(ficgp,"+$%d",k+l+j-1); */ + /* /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */ + fprintf(ficgp,") t \"bprev(%d,%d)\" w l",cpt,i); + } /* nlstate */ + fprintf(ficgp,"\nset out; unset label;\n"); + } /* end cpt state*/ + } /* 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 */ + /* Projection from cross-sectional to stable (period) for each covariate */ + + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + strcpy(gplotlabel,"("); fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ /* 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[lv]][lv]; - fprintf(ficgp," V%d=%d ",k,vlv); - } + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); - fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres); + fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ -set ter svg size 640, 480\n\ -unset log y\n\ -plot [%.f:%.f] ", ageminpar, agemaxpar); - for (i=1; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); + + /* for (i=1; i<= nlstate+1 ; i ++){ /\* nlstate +1 p11 p21 p.1 *\/ */ + istart=nlstate+1; /* Could be one if by state, but nlstate+1 is w.i projection only */ + /*istart=1;*/ /* Could be one if by state, but nlstate+1 is w.i projection only */ + for (i=istart; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ - if(i==1){ + if(i==istart){ fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); }else{ fprintf(ficgp,",\\\n '' "); } if(cptcoveff ==0){ /* No covariate */ - fprintf(ficgp," u 2:("); /* Age is in 2 */ + 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 */ - if(i==nlstate+1) - fprintf(ficgp," $%d/(1.-$%d)) t 'p.%d' with line ", \ - 2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,cpt ); - else - fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ - 2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); - }else{ - fprintf(ficgp,"u 6:(("); /* Age is in 6 */ + /*# 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)):1 t 'pw.%d' with line lc variable ", \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); + fprintf(ficgp,",\\\n '' "); + fprintf(ficgp," u %d:(",ioffset); + fprintf(ficgp," (($1-$2) == %d ) ? $%d/(1.-$%d) : 1/0):1 with labels center not ", \ + offyear, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate ); + }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 */ + ioffset=2*cptcoveff+2; /* Age is in 4 or 6 or etc.*/ /*# 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 */ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ + iyearc=ioffset-1; + iagec=ioffset; + 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 k1 combination and kth covariate */ + 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[lv]][lv]; + vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */ 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):($5==2000? 3:2) t 'p.1' with line lc variable*/ - if(k==cptcoveff) - if(i==nlstate+1) - fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv], \ - 6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,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[lv]][lv], \ - 6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); - else{ - fprintf(ficgp,"$%d==%d && $%d==%d && ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv]); - kl++; - } - } /* end covariate */ + sprintf(gplotcondition+strlen(gplotcondition),"$%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):%d t 'p.%d' with line lc variable", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,iyearc, cpt ); + fprintf(ficgp,",\\\n '' "); + fprintf(ficgp," u %d:(",iagec); + fprintf(ficgp,"%s && (($%d-$%d) == %d ) ? $%d/(1.-$%d) : 1/0):%d with labels center not ", gplotcondition, \ + iyearc, iagec, offyear, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate, iyearc ); +/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0) && (($5-$6) == 1947) ? $10/(1.-$22) : 1/0):5 with labels center boxed not*/ + }else{ + fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt ); + } } /* end if covariate */ } /* nlstate */ - fprintf(ficgp,"\nset out\n"); + fprintf(ficgp,"\nset out; unset label;\n"); } /* end cpt state*/ } /* end covariate */ } /* End if prevfcast */ + + if(backcast==1){ + /* Back projection from cross-sectional to stable (mixed) for each covariate */ + + for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ + strcpy(gplotlabel,"("); + fprintf(ficgp,"\n#\n#\n#Back projection of prevalence to stable (mixed) back prevalence: 'BPROJ_' files, covariatecombination#=%d originstate=%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); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + if(invalidvarcomb[k1]){ + fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1); + continue; + } + + fprintf(ficgp,"# hbijx=backprobability over h years, hb.jx is weighted by observed prev at destination state\n "); + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres); + fprintf(ficgp,"set label \"Origin alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ +set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar); - - /* proba elementaires */ - fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); + /* for (i=1; i<= nlstate+1 ; i ++){ /\* nlstate +1 p11 p21 p.1 *\/ */ + istart=nlstate+1; /* Could be one if by state, but nlstate+1 is w.i projection only */ + /*istart=1;*/ /* Could be one if by state, but nlstate+1 is w.i projection only */ + for (i=istart; i<= nlstate+1 ; i ++){ /* nlstate +1 p11 p21 p.1 */ + /*# V1 = 1 V2 = 0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ + /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/ + /*# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 */ + if(i==istart){ + fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"FB_")); + }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)):1 t 'bw%d' with line lc variable ", \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt ); + fprintf(ficgp,",\\\n '' "); + fprintf(ficgp," u %d:(",ioffset); + fprintf(ficgp," (($1-$2) == %d ) ? $%d : 1/0):1 with labels center not ", \ + offbyear, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1) ); + }else + fprintf(ficgp," $%d/(1.-$%d)) t 'b%d%d' with line ", \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt,i ); + }else{ /* more than 2 covariates */ + ioffset=2*cptcoveff+2; /* Age is in 4 or 6 or etc.*/ + /*# 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 */ + iyearc=ioffset-1; + iagec=ioffset; + 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 : 1/0):%d t 'bw%d' with line lc variable", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1),iyearc,cpt ); + fprintf(ficgp,",\\\n '' "); + fprintf(ficgp," u %d:(",iagec); + /* fprintf(ficgp,"%s && (($5-$6) == %d ) ? $%d/(1.-$%d) : 1/0):5 with labels center not ", gplotcondition, \ */ + fprintf(ficgp,"%s && (($%d-$%d) == %d ) ? $%d : 1/0):%d with labels center not ", gplotcondition, \ + iyearc,iagec,offbyear, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), iyearc ); +/* '' u 6:(($1==1 && $2==0 && $3==2 && $4==0) && (($5-$6) == 1947) ? $10/(1.-$22) : 1/0):5 with labels center boxed not*/ + }else{ + /* fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ */ + fprintf(ficgp,"%s ? $%d : 1/0) t 'b%d%d' with line ", gplotcondition, \ + ioffset+(cpt-1)*(nlstate+1)+1+(i-1), cpt,i ); + } + } /* end if covariate */ + } /* nlstate */ + fprintf(ficgp,"\nset out; unset label;\n"); + } /* end cpt state*/ + } /* end covariate */ + } /* End if backcast */ + + + /* 9eme writing MLE parameters */ + fprintf(ficgp,"\n##############\n#9eme MLE estimated parameters\n#############\n"); for(i=1,jk=1; i <=nlstate; i++){ fprintf(ficgp,"# initial state %d\n",i); for(k=1; k <=(nlstate+ndeath); k++){ @@ -5513,11 +7810,12 @@ 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"); + /* 10eme Graphics of probabilities or incidences using written MLE parameters */ + fprintf(ficgp,"\n##############\n#10eme Graphics of probabilities or incidences\n#############\n"); fprintf(ficgp,"# logi(p12/p11)=a12+b12*age+c12age*age+d12*V1+e12*V1*age\n"); fprintf(ficgp,"# logi(p12/p11)=p1 +p2*age +p3*age*age+ p4*V1+ p5*V1*age\n"); fprintf(ficgp,"# logi(p13/p11)=a13+b13*age+c13age*age+d13*V1+e13*V1*age\n"); @@ -5531,162 +7829,421 @@ 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)]); - } - 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])]); */ + for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/ + fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n"); + fprintf(ficgp,"#model=%s \n",model); + fprintf(ficgp,"# Type of graphic ng=%d\n",ng); + fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */ + for(k1=1; k1 <=m; k1++) /* For each combination of covariate */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(m != 1 && TKresult[nres]!= k1) + continue; + fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1); + strcpy(gplotlabel,"("); + /*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/ + for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */ + lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */ + /* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ + /* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ + /* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ + vlv= nbcode[Tvaraff[k]][lv]; + fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + strcpy(gplotlabel+strlen(gplotlabel),")"); + fprintf(ficgp,"\n#\n"); + fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres); + fprintf(ficgp,"\nset key outside "); + /* fprintf(ficgp,"\nset label \"%s\" at graph 1.2,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel); */ + fprintf(ficgp,"\nset title \"%s\" font \"Helvetica,12\"\n",gplotlabel); + fprintf(ficgp,"\nset ter svg size 640, 480 "); + if (ng==1){ + fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */ + 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 */ + ijp=1; /* product no age */ + /* for(j=3; j <=ncovmodel-nagesqr; j++) { */ + for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */ + /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */ + if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ + if(j==Tage[ij]) { /* Product by age To be looked at!!*/ + if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */ + if(DummyV[j]==0){ + fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; + }else{ /* quantitative */ + fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */ + /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ + } + ij++; + } + } + }else if(cptcovprod >0){ + if(j==Tprod[ijp]) { /* */ + /* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */ + if(ijp <=cptcovprod) { /* Product */ + if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */ + if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */ + /* fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */ + fprintf(ficgp,"+p%d*%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); + }else{ /* Vn is dummy and Vm is quanti */ + /* fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */ + fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); + } + }else{ /* Vn*Vm Vn is quanti */ + if(DummyV[Tvard[ijp][2]]==0){ + fprintf(ficgp,"+p%d*%d*%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); + }else{ /* Both quanti */ + fprintf(ficgp,"+p%d*%f*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); + } + } + ijp++; + } + } /* end Tprod */ + } else{ /* simple covariate */ + /* fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\* Valgrind bug nbcode *\/ */ + if(Dummy[j]==0){ + fprintf(ficgp,"+p%d*%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /* */ + }else{ /* quantitative */ + fprintf(ficgp,"+p%d*%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* */ + /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ + } + } /* end simple */ + } /* end j */ + }else{ + i=i-ncovmodel; + if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */ + fprintf(ficgp," (1."); + } + + if(ng != 1){ + fprintf(ficgp,")/(1"); + + for(cpt=1; cpt <=nlstate; cpt++){ + if(nagesqr==0) + fprintf(ficgp,"+exp(p%d+p%d*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1); + else /* nagesqr =1 */ + fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr); + + ij=1; + for(j=3; j <=ncovmodel-nagesqr; j++){ + if(cptcovage >0){ + if((j-2)==Tage[ij]) { /* Bug valgrind */ + if(ij <=cptcovage) { /* Bug valgrind */ + fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]); + /* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */ ij++; } } - else - fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); - } - 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 */ - fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k); - } - if ((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); + }else + fprintf(ficgp,"+p%d*%d",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */ + } + fprintf(ficgp,")"); + } + fprintf(ficgp,")"); + if(ng ==2) + fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); + else /* ng= 3 */ + fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k); + }else{ /* end ng <> 1 */ + if( k !=k2) /* logit p11 is hard to draw */ + fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, 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; unset label;set key default;\n"); */ + fprintf(ficgp,"\n set out; unset title;set key default;\n"); + } /* end k1 */ + } /* end ng */ + /* avoid: */ + fflush(ficgp); } /* end gnuplot */ /*************** Moving average **************/ -int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav){ +/* 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 i, cpt, cptcod; + int modcovmax =1; + int mobilavrange, mob; + int iage=0; + + double sum=0., sumr=0.; + double age; + double *sumnewp, *sumnewm, *sumnewmr; + double *agemingood, *agemaxgood; + double *agemingoodr, *agemaxgoodr; + + + /* 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); + sumnewmr = vector(1,ncovcombmax); + agemingood = vector(1,ncovcombmax); + agemingoodr = vector(1,ncovcombmax); + agemaxgood = vector(1,ncovcombmax); + agemaxgoodr = vector(1,ncovcombmax); + + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + sumnewm[cptcod]=0.; sumnewmr[cptcod]=0.; + sumnewp[cptcod]=0.; + agemingood[cptcod]=0, agemingoodr[cptcod]=0; + agemaxgood[cptcod]=0, agemaxgoodr[cptcod]=0; + } + if (cptcovn<1) ncovcombmax=1; /* At least 1 pass */ + + if(mobilav==-1 || mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){ + if(mobilav==1 || mobilav==-1) mobilavrange=5; /* default */ + else mobilavrange=mobilav; + for (age=bage; age<=fage; age++) + for (i=1; i<=nlstate;i++) + 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 (cptcod=1;cptcod<=ncovcombmax;cptcod++){ + sumnewm[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod]; + for (cpt=1;cpt<=(mob-1)/2;cpt++){ + mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod]; + mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod]; + } + mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob; + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + } /* end i */ + if(sumnewm[cptcod] >1.e-3) mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/sumnewm[cptcod]; /* Rescaling to sum one */ + } /* end cptcod */ + }/* end age */ + }/* end mob */ + }else{ + printf("Error internal in movingaverage, mobilav=%d.\n",mobilav); + return -1; + } - int i, cpt, cptcod; - int modcovmax =1; - int mobilavrange, mob; - double age; - - modcovmax=2*cptcoveff;/* Max number of modalities. We suppose - a covariate has 2 modalities */ - 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; - return 0; -}/* End movingaverage */ + for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ /* for each combination */ + /* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */ + if(invalidvarcomb[cptcod]){ + printf("\nCombination (%d) ignored because no cases \n",cptcod); + continue; + } + for (age=fage-(mob-1)/2; age>=bage+(mob-1)/2; age--){ /*looking for the youngest and oldest good age */ + sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */ + agemingoodr[cptcod]=age; + } + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemingood[cptcod]=age; + } + } /* age */ + for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ /*looking for the youngest and oldest good age */ + sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */ + agemaxgoodr[cptcod]=age; + } + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemaxgood[cptcod]=age; + } + } /* age */ + /* Thus we have agemingood and agemaxgood as well as goodr for raw (preobs) */ + /* but they will change */ + for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, filling up to the youngest */ + sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(mobilav==-1){ /* Forcing raw ages if good else agemingood */ + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */ + agemaxgoodr[cptcod]=age; /* age min */ + for (i=1; i<=nlstate;i++) + mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; + }else{ /* bad we change the value with the values of good ages */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgoodr[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }else{ + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemaxgood[cptcod]=age; + }else{ /* bad we change the value with the values of good ages */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }/* end else */ + sum=0.;sumr=0.; + for (i=1; i<=nlstate;i++){ + sum+=mobaverage[(int)age][i][cptcod]; + sumr+=probs[(int)age][i][cptcod]; + } + if(fabs(sum - 1.) > 1.e-3) { /* bad */ + printf("Moving average A1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, (int)bage); + } /* end bad */ + /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */ + if(fabs(sumr - 1.) > 1.e-3) { /* bad */ + printf("Moving average A2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, (int)bage); + } /* end bad */ + }/* age */ + + for (age=bage+(mob-1)/2; age<=fage; age++){/* From youngest, finding the oldest wrong */ + sumnewm[cptcod]=0.; + sumnewmr[cptcod]=0.; + for (i=1; i<=nlstate;i++){ + sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod]; + sumnewmr[cptcod]+=probs[(int)age][i][cptcod]; + } + if(mobilav==-1){ /* Forcing raw ages if good else agemingood */ + if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good */ + agemingoodr[cptcod]=age; + for (i=1; i<=nlstate;i++) + mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod]; + }else{ /* bad we change the value with the values of good ages */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingoodr[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }else{ + if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */ + agemingood[cptcod]=age; + }else{ /* bad */ + for (i=1; i<=nlstate;i++){ + mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; + } /* i */ + } /* end bad */ + }/* end else */ + sum=0.;sumr=0.; + for (i=1; i<=nlstate;i++){ + sum+=mobaverage[(int)age][i][cptcod]; + sumr+=mobaverage[(int)age][i][cptcod]; + } + if(fabs(sum - 1.) > 1.e-3) { /* bad */ + printf("Moving average B1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you decrease fage=%d?\n",cptcod, sum, (int) age, (int)fage); + } /* end bad */ + /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */ + if(fabs(sumr - 1.) > 1.e-3) { /* bad */ + printf("Moving average B2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase fage=%d\n",cptcod,sumr, (int)age, (int)fage); + } /* end bad */ + }/* age */ + + + 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(agemaxgoodr,1, ncovcombmax); + free_vector(agemaxgood,1, ncovcombmax); + free_vector(agemingood,1, ncovcombmax); + free_vector(agemingoodr,1, ncovcombmax); + free_vector(sumnewmr,1, ncovcombmax); + free_vector(sumnewm,1, ncovcombmax); + free_vector(sumnewp,1, ncovcombmax); + return 0; + }/* End movingaverage */ + /************** Forecasting ******************/ -void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ + void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){ /* proj1, year, month, day of starting projection agemin, agemax range of age dateprev1 dateprev2 range of dates during which prevalence is computed anproj2 year of en of projection (same day and month as proj1). */ - int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1; + int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0; double agec; /* generic age */ double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; double *popeffectif,*popcount; double ***p3mat; - double ***mobaverage; + /* double ***mobaverage; */ char fileresf[FILENAMELENGTH]; agelim=AGESUP; @@ -5696,7 +8253,6 @@ void prevforecast(char fileres[], double */ /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ */ /* firstpass, lastpass, stepm, weightopt, model); */ - prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); strcpy(fileresf,"F_"); strcat(fileresf,fileresu); @@ -5704,25 +8260,23 @@ void prevforecast(char fileres[], double printf("Problem with forecast resultfile: %s\n", fileresf); fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf); } - printf("Computing forecasting: result on file '%s' \n", fileresf); - fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf); + printf("\nComputing forecasting: result on file '%s', please wait... \n", fileresf); + fprintf(ficlog,"\nComputing forecasting: result on file '%s', please wait... \n", fileresf); if (cptcoveff==0) ncodemax[cptcoveff]=1; - 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; if(estepm < stepm){ printf ("Problem %d lower than %d\n",estepm, stepm); } - else hstepm=estepm; + else{ + hstepm=estepm; + } + if(estepm > stepm){ /* Yes every two year */ + stepsize=2; + } hstepm=hstepm/stepm; yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp and @@ -5735,233 +8289,511 @@ 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," p.%d",j); - } - for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ + if(i1 != 1 && TKresult[nres]!= k) + continue; + if(invalidvarcomb[k]){ + printf("\nCombination (%d) projection ignored because no cases \n",k); + continue; + } + 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)]); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficresf," yearproj age"); + for(j=1; j<=nlstate+ndeath;j++){ + for(i=1; i<=nlstate;i++) + 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--){ */ + for (agec=fage; agec>=(bage); 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; + /* We compute pii at age agec over nhstepm);*/ + hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k,nres); + /* Then we print p3mat for h corresponding to the right agec+h*stepms=yearp */ + for (h=0; h<=nhstepm; h++){ + if (h*hstepm/YEARM*stepm ==yearp) { + break; + } + } 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(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]*prev[(int)agec][i][k]; + else { /* even if mobilav==-1 we use mobaverage, probs may not sums to 1 */ + ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; + } + fprintf(ficresf," %.3f", p3mat[i][j][h]); + } /* end i */ + fprintf(ficresf," %.3f", ppij); + }/* end j */ + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + } /* end agec */ + /* diffyear=(int) anproj1+yearp-ageminpar-1; */ + /*printf("Prevforecast %d+%d-%d=diffyear=%d\n",(int) anproj1, (int)yearp,(int)ageminpar,(int) anproj1-(int)ageminpar);*/ + } /* end yearp */ + } /* end k */ - 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 */ - - if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - fclose(ficresf); + printf("End of Computing forecasting \n"); + fprintf(ficlog,"End of Computing forecasting\n"); + } -/************** 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){ - - int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h; - int *popage; - double calagedatem, agelim, kk1, kk2; +/************** Back Forecasting ******************/ + void prevbackforecast(char fileres[], double ***prevacurrent, double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int cptcoveff){ + /* back1, year, month, day of starting backection + agemin, agemax range of age + dateprev1 dateprev2 range of dates during which prevalence is computed + anback2 year of end of backprojection (same day and month as back1). + prevacurrent and prev are prevalences. + */ + int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0; + double agec; /* generic age */ + double agelim, ppij, ppi, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; double *popeffectif,*popcount; - double ***p3mat,***tabpop,***tabpopprev; - double ***mobaverage; - char filerespop[FILENAMELENGTH]; + double ***p3mat; + /* double ***mobaverage; */ + char fileresfb[FILENAMELENGTH]; + + agelim=AGEINF; + /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people + in each health status at the date of interview (if between dateprev1 and dateprev2). + We still use firstpass and lastpass as another selection. + */ + /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ */ + /* firstpass, lastpass, stepm, weightopt, model); */ - 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); - + /*Do we need to compute prevalence again?*/ + + /* 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); + strcpy(fileresfb,"FB_"); + strcat(fileresfb,fileresu); + if((ficresfb=fopen(fileresfb,"w"))==NULL) { + printf("Problem with back forecast resultfile: %s\n", fileresfb); + fprintf(ficlog,"Problem with back forecast resultfile: %s\n", fileresfb); } - printf("Computing forecasting: result on file '%s' \n", filerespop); - fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop); - + printf("\nComputing back forecasting: result on file '%s', please wait... \n", fileresfb); + fprintf(ficlog,"\nComputing back forecasting: result on file '%s', please wait... \n", fileresfb); + 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); - } - } - + + stepsize=(int) (stepm+YEARM-1)/YEARM; if (stepm<=12) stepsize=1; + if(estepm < stepm){ + printf ("Problem %d lower than %d\n",estepm, stepm); + } + else{ + hstepm=estepm; + } + if(estepm >= stepm){ /* Yes every two year */ + stepsize=2; + } - agelim=AGESUP; + hstepm=hstepm/stepm; + yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp and + fractional in yp1 */ + anprojmean=yp; + yp2=modf((yp1*12),&yp); + mprojmean=yp; + yp1=modf((yp2*30.5),&yp); + jprojmean=yp; + if(jprojmean==0) jprojmean=1; + if(mprojmean==0) jprojmean=1; - hstepm=1; - hstepm=hstepm/stepm; + i1=pow(2,cptcoveff); + if (cptcovn < 1){i1=1;} - 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); + fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); + printf("# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); + + fprintf(ficresfb,"#****** Routine prevbackforecast **\n"); + + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ + if(i1 != 1 && TKresult[nres]!= k) + continue; + if(invalidvarcomb[k]){ + printf("\nCombination (%d) projection ignored because no cases \n",k); + continue; + } + fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#"); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficresfb," yearbproj age"); + for(j=1; j<=nlstate+ndeath;j++){ + for(i=1; i<=nlstate;i++) + fprintf(ficresfb," b%d%d",i,j); + fprintf(ficresfb," b.%d",j); + } + for (yearp=0; yearp>=(anback2-anback1);yearp -=stepsize) { + /* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { */ + fprintf(ficresfb,"\n"); + fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); + /* printf("\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); */ + /* for (agec=bage; agec<=agemax-1; agec++){ /\* testing *\/ */ + for (agec=bage; agec<=fage; agec++){ /* testing */ + /* We compute bij at age agec over nhstepm, nhstepm decreases when agec increases because of agemax;*/ + nhstepm=(int) (agec-agelim) *YEARM/stepm;/* nhstepm=(int) rint((agec-agelim)*YEARM/stepm);*/ + nhstepm = nhstepm/hstepm; + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + oldm=oldms;savm=savms; + /* computes hbxij at age agec over 1 to nhstepm */ + /* printf("####prevbackforecast debug agec=%.2f nhstepm=%d\n",agec, nhstepm);fflush(stdout); */ + hbxij(p3mat,nhstepm,agec,hstepm,p,prevacurrent,nlstate,stepm, k, nres); + /* hpxij(p3mat,nhstepm,agec,hstepm,p, nlstate,stepm,oldm,savm, k,nres); */ + /* Then we print p3mat for h corresponding to the right agec+h*stepms=yearp */ + /* printf(" agec=%.2f\n",agec);fflush(stdout); */ + for (h=0; h<=nhstepm; h++){ + if (h*hstepm/YEARM*stepm ==-yearp) { + break; + } + } + fprintf(ficresfb,"\n"); + for(j=1;j<=cptcoveff;j++) + fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficresfb,"%.f %.f ",anback1+yearp,agec-h*hstepm/YEARM*stepm); + for(i=1; i<=nlstate+ndeath;i++) { + ppij=0.;ppi=0.; + for(j=1; j<=nlstate;j++) { + /* if (mobilav==1) */ + ppij=ppij+p3mat[i][j][h]*prevacurrent[(int)agec][j][k]; + ppi=ppi+prevacurrent[(int)agec][j][k]; + /* ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][j][k]; */ + /* ppi=ppi+mobaverage[(int)agec][j][k]; */ + /* else { */ + /* ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; */ + /* } */ + fprintf(ficresfb," %.3f", p3mat[i][j][h]); + } /* end j */ + if(ppi <0.99){ + printf("Error in prevbackforecast, prevalence doesn't sum to 1 for state %d: %3f\n",i, ppi); + fprintf(ficlog,"Error in prevbackforecast, prevalence doesn't sum to 1 for state %d: %3f\n",i, ppi); + } + fprintf(ficresfb," %.3f", ppij); + }/* end j */ + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + } /* end agec */ + } /* end yearp */ + } /* end k */ + + /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */ + + fclose(ficresfb); + printf("End of Computing Back forecasting \n"); + fprintf(ficlog,"End of Computing Back forecasting\n"); + +} + +/* Variance of prevalence limit: varprlim */ + void varprlim(char fileresu[], int nresult, double ***prevacurrent, int mobilavproj, double bage, double fage, double **prlim, int *ncvyearp, double ftolpl, double p[], double **matcov, double *delti, int stepm, int cptcoveff){ + /*------- Variance of period (stable) prevalence------*/ + + char fileresvpl[FILENAMELENGTH]; + FILE *ficresvpl; + double **oldm, **savm; + double **varpl; /* Variances of prevalence limits by age */ + int i1, k, nres, j ; + + strcpy(fileresvpl,"VPL_"); + strcat(fileresvpl,fileresu); + if((ficresvpl=fopen(fileresvpl,"w"))==NULL) { + printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl); + exit(0); + } + 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++){*/ + + i1=pow(2,cptcoveff); + if (cptcovn < 1){i1=1;} + + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ + if(i1 != 1 && TKresult[nres]!= k) + continue; + fprintf(ficresvpl,"\n#****** "); + printf("\n#****** "); + fprintf(ficlog,"\n#****** "); + 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)]); + } + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + fprintf(ficresvpl,"******\n"); + printf("******\n"); + fprintf(ficlog,"******\n"); + + varpl=matrix(1,nlstate,(int) bage, (int) fage); + oldm=oldms;savm=savms; + varprevlim(fileresvpl, ficresvpl, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, ncvyearp, k, strstart, nres); + free_matrix(varpl,1,nlstate,(int) bage, (int)fage); + /*}*/ + } - i=1; - while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1; + fclose(ficresvpl); + printf("done variance-covariance of period prevalence\n");fflush(stdout); + fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); + + } +/* Variance of back prevalence: varbprlim */ + void varbprlim(char fileresu[], int nresult, double ***prevacurrent, int mobilavproj, double bage, double fage, double **bprlim, int *ncvyearp, double ftolpl, double p[], double **matcov, double *delti, int stepm, int cptcoveff){ + /*------- Variance of back (stable) prevalence------*/ + + char fileresvbl[FILENAMELENGTH]; + FILE *ficresvbl; + + double **oldm, **savm; + double **varbpl; /* Variances of back prevalence limits by age */ + int i1, k, nres, j ; + + strcpy(fileresvbl,"VBL_"); + strcat(fileresvbl,fileresu); + if((ficresvbl=fopen(fileresvbl,"w"))==NULL) { + printf("Problem with variance of back (stable) prevalence resultfile: %s\n", fileresvbl); + exit(0); + } + printf("Computing Variance-covariance of back (stable) prevalence: file '%s' ...", fileresvbl);fflush(stdout); + fprintf(ficlog, "Computing Variance-covariance of back (stable) prevalence: file '%s' ...", fileresvbl);fflush(ficlog); - imx=i; - for (i=1; i=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ - nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); - nhstepm = nhstepm/hstepm; +/* 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(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); - } - } - - /******/ - - 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); */ - 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); - } - } - } - } +/* 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); */ +/* } */ +/* } */ + +/* /\******\/ */ + +/* 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); */ +/* } */ +/* } */ +/* } */ +/* } */ + +/* /\* 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 (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 */ - int fileappend(FILE *fichier, char *optionfich) { if((fichier=fopen(optionfich,"a"))==NULL) { @@ -6102,7 +8934,7 @@ 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; @@ -6227,17 +9059,40 @@ 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, v; + int lstra; int linei, month, year,iout; char line[MAXLINE], linetmp[MAXLINE]; char stra[MAXLINE], strb[MAXLINE]; char *stratrunc; - int lstra; + DummyV=ivector(1,NCOVMAX); /* 1 to 3 */ + FixedV=ivector(1,NCOVMAX); /* 1 to 3 */ + + for(v=1; v <=ncovcol;v++){ + DummyV[v]=0; + FixedV[v]=0; + } + for(v=ncovcol+1; v <=ncovcol+nqv;v++){ + DummyV[v]=1; + FixedV[v]=0; + } + for(v=ncovcol+nqv+1; v <=ncovcol+nqv+ntv;v++){ + DummyV[v]=0; + FixedV[v]=1; + } + for(v=ncovcol+nqv+ntv+1; v <=ncovcol+nqv+ntv+nqtv;v++){ + DummyV[v]=1; + FixedV[v]=1; + } + for(v=1; v <=ncovcol+nqv+ntv+nqtv;v++){ + printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); + fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]); + } if((fic=fopen(datafile,"r"))==NULL) { - printf("Problem while opening datafile: %s\n", datafile);fflush(stdout); - fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);fflush(ficlog);return 1; + printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout); + fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1; } i=1; @@ -6259,24 +9114,96 @@ 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 */ + cotvar[j][ntv+iv][i]=-1; /* For performance reasons */ + if(isalpha(strb[1])) { /* .m or .d Really Missing value */ + printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j); + fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value. Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog); + return 1; + } + }else{ + errno=0; + /* what_kind_of_number(strb); */ + dval=strtod(strb,&endptr); + /* if( strb[0]=='\0' || (*endptr != '\0')){ */ + /* if(strb != endptr && *endptr == '\0') */ + /* dval=dlval; */ + /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */ + if( strb[0]=='\0' || (*endptr != '\0')){ + printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav); + fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog); + return 1; + } + cotqvar[j][iv][i]=dval; + cotvar[j][ntv+iv][i]=dval; + } + strcpy(line,stra); + }/* end loop ntqv */ + + for (iv=ntv;iv>=1;iv--){ /* Loop on time varying dummies */ + cutv(stra, strb, line, ' '); + if(strb[0]=='.') { /* Missing value */ + lval=-1; + }else{ + errno=0; + lval=strtol(strb,&endptr,10); + /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/ + if( strb[0]=='\0' || (*endptr != '\0')){ + printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav); + fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog); + return 1; + } + } + if(lval <-1 || lval >1){ + printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \ + 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){ @@ -6292,8 +9219,9 @@ 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){ } @@ -6302,13 +9230,14 @@ 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){ } @@ -6318,18 +9247,19 @@ 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); @@ -6342,9 +9272,32 @@ 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; @@ -6359,20 +9312,20 @@ 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; } @@ -6380,7 +9333,7 @@ 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); @@ -6392,44 +9345,171 @@ 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 removefirstspace(char **stri){/*, char stro[]) {*/ + char *p1 = *stri, *p2 = *stri; + while (*p2 == ' ') + p2++; + /* while ((*p1++ = *p2++) !=0) */ + /* ; */ + /* do */ + /* while (*p2 == ' ') */ + /* p2++; */ + /* while (*p1++ == *p2++); */ + *stri=p2; +} + +int decoderesult ( char resultline[], int nres) +/**< This routine decode one result line and returns the combination # of dummy covariates only **/ +{ + int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0; + char resultsav[MAXLINE]; + int resultmodel[MAXLINE]; + int modelresult[MAXLINE]; + char stra[80], strb[80], strc[80], strd[80],stre[80]; + removefirstspace(&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'=' */ + } + if(j == 0){ /* Resultline but no = */ + TKresult[nres]=0; /* Combination for the nresult and the model */ + return (0); + } + + if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ + printf("ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); + fprintf(ficlog,"ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs); + } + for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */ + if(nbocc(resultsav,'=') >1){ + cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' + resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */ + cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */ + }else + cutl(strc,strd,resultsav,'='); + Tvalsel[k]=atof(strc); /* 1 */ + + cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */; + Tvarsel[k]=atoi(strc); + /* Typevarsel[k]=1; /\* 1 for age product *\/ */ + /* cptcovsel++; */ + if (nbocc(stra,'=') >0) + strcpy(resultsav,stra); /* and analyzes it */ + } + /* Checking for missing or useless values in comparison of current model needs */ + for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + if(Typevar[k1]==0){ /* Single covariate in model */ + match=0; + for(k2=1; k2 <=j;k2++){/* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ + if(Tvar[k1]==Tvarsel[k2]) {/* Tvar[1]=5 == Tvarsel[2]=5 */ + modelresult[k2]=k1;/* modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */ + match=1; + break; + } + } + if(match == 0){ + printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); + } + } + } + /* Checking for missing or useless values in comparison of current model needs */ + for(k2=1; k2 <=j;k2++){ /* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ + match=0; + for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + if(Typevar[k1]==0){ /* Single */ + if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 */ + resultmodel[k1]=k2; /* resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */ + ++match; + } + } + } + if(match == 0){ + printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model); + }else if(match > 1){ + printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model); + } + } + + /* We need to deduce which combination number is chosen and save quantitative values */ + /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + /* result line V4=1 V5=25.1 V3=0 V2=8 V1=1 */ + /* should give a combination of dummy V4=1, V3=0, V1=1 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 5 + (1offset) = 6*/ + /* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */ + /* should give a combination of dummy V4=1, V3=1, V1=0 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 3 + (1offset) = 4*/ + /* 1 0 0 0 */ + /* 2 1 0 0 */ + /* 3 0 1 0 */ + /* 4 1 1 0 */ /* V4=1, V3=1, V1=0 */ + /* 5 0 0 1 */ + /* 6 1 0 1 */ /* V4=1, V3=0, V1=1 */ + /* 7 0 1 1 */ + /* 8 1 1 1 */ + /* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */ + /* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */ + /* V5*age V5 known which value for nres? */ + /* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */ + for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* model line */ + if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */ + k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */ + k2=(int)Tvarsel[k3]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */ + k+=Tvalsel[k3]*pow(2,k4); /* Tvalsel[1]=1 */ + Tresult[nres][k4+1]=Tvalsel[k3];/* Tresult[nres][1]=1(V4=1) Tresult[nres][2]=0(V3=0) */ + Tvresult[nres][k4+1]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */ + Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */ + printf("Decoderesult Dummy k=%d, V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k2, k3, (int)Tvalsel[k3], k4); + k4++;; + } else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Single quantitative */ + k3q= resultmodel[k1]; /* resultmodel[2] = 1=k3 */ + k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */ + Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */ + Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */ + Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */ + printf("Decoderesult Quantitative nres=%d, V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]); + k4q++;; + } + } + + TKresult[nres]=++k; /* Combination for the nresult and the model */ + return (0); } -void removespace(char *str) { - char *p1 = str, *p2 = str; - do - while (*p2 == ' ') - p2++; - while (*p1++ == *p2++); -} - -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 i, j, k, ks, v; + int j1, k1, k2, k3, k4; char modelsav[80]; char stra[80], strb[80], strc[80], strd[80],stre[80]; char *strpt; @@ -6451,15 +9531,14 @@ 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"); @@ -6472,17 +9551,17 @@ int decodemodel ( char model[], int last 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 > @@ -6490,8 +9569,8 @@ 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 @@ -6516,7 +9595,7 @@ 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 */ @@ -6531,8 +9610,9 @@ 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 '+' @@ -6547,6 +9627,7 @@ 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);*/ @@ -6554,6 +9635,7 @@ 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*/ @@ -6561,18 +9643,22 @@ 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 - because this model-covariate is a construction we invent a new column - ncovcol + 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 */ + Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but + because this model-covariate is a construction we invent a new column + which is after existing variables ncovcol+nqv+ntv+nqtv + k1 + If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2 + Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */ + 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 */ @@ -6584,54 +9670,355 @@ 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;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;} + for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */ + if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */ + Fixed[k]= 0; + Dummy[k]= 0; + ncoveff++; + ncovf++; + nsd++; + modell[k].maintype= FTYPE; + TvarsD[nsd]=Tvar[k]; + TvarsDind[nsd]=k; + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + }else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */ + Fixed[k]= 0; + Dummy[k]= 0; + ncoveff++; + ncovf++; + modell[k].maintype= FTYPE; + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ + }else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){/* Remind that product Vn*Vm are added in k Only simple fixed quantitative variable */ + Fixed[k]= 0; + Dummy[k]= 1; + nqfveff++; + modell[k].maintype= FTYPE; + modell[k].subtype= FQ; + nsq++; + TvarsQ[nsq]=Tvar[k]; + TvarsQind[nsq]=k; + ncovf++; + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ + TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */ + }else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */ + Fixed[k]= 1; + Dummy[k]= 0; + ntveff++; /* Only simple time varying dummy variable */ + modell[k].maintype= VTYPE; + modell[k].subtype= VD; + nsd++; + TvarsD[nsd]=Tvar[k]; + TvarsDind[nsd]=k; + ncovv++; /* Only simple time varying variables */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ + TvarVD[ntveff]=Tvar[k]; /* TvarVD[1]=V4 TvarVD[2]=V3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ + TvarVDind[ntveff]=k; /* TvarVDind[1]=2 TvarVDind[2]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */ + printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv); + printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv); + }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/ + Fixed[k]= 1; + Dummy[k]= 1; + nqtveff++; + modell[k].maintype= VTYPE; + modell[k].subtype= VQ; + ncovv++; /* Only simple time varying variables */ + nsq++; + TvarsQ[nsq]=Tvar[k]; + TvarsQind[nsq]=k; + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */ + TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */ + TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */ + /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */ + printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv); + printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv); + }else if (Typevar[k] == 1) { /* product with age */ + ncova++; + TvarA[ncova]=Tvar[k]; + TvarAind[ncova]=k; + if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */ + Fixed[k]= 2; + Dummy[k]= 2; + modell[k].maintype= ATYPE; + modell[k].subtype= APFD; + /* ncoveff++; */ + }else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/ + Fixed[k]= 2; + Dummy[k]= 3; + 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 */ + ncovf++; /* Fixed variables without age */ + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv){ + Fixed[k]= 0; /* or 2 ?*/ + Dummy[k]= 1; + modell[k].maintype= FTYPE; + modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */ + ncovf++; /* Varying variables without age */ + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 0; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product fixed dummy * varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } + }else if(Tvard[k1][1] <=ncovcol+nqv){ + if(Tvard[k1][2] <=ncovcol){ + Fixed[k]= 0; /* or 2 ?*/ + Dummy[k]= 1; + modell[k].maintype= FTYPE; + modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */ + ncovf++; /* Fixed variables without age */ + TvarF[ncovf]=Tvar[k]; + TvarFind[ncovf]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product fixed quantitative * varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPQQ; /* Product fixed quantitative * varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } + }else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ + if(Tvard[k1][2] <=ncovcol){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDD; /* Product time varying dummy * fixed dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying dummy * fixed quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 0; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDD; /* Product time varying dummy * time varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying dummy * time varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } + }else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ + if(Tvard[k1][2] <=ncovcol){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying quantitative * fixed dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPQQ; /* Product time varying quantitative * fixed quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPDQ; /* Product time varying quantitative * time varying dummy */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ + Fixed[k]= 1; + Dummy[k]= 1; + modell[k].maintype= VTYPE; + modell[k].subtype= VPQQ; /* Product time varying quantitative * time varying quantitative */ + ncovv++; /* Varying variables without age */ + TvarV[ncovv]=Tvar[k]; + TvarVind[ncovv]=k; + } + }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 nlstate){ *nberr = *nberr + 1; - printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr); - fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr); - s[m][i]=-1; + if(firstone == 0){ + firstone=1; + printf("Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\nOther similar cases in log file\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m); + } + fprintf(ficlog,"Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m); + s[m][i]=-1; /* Droping the death status */ } if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){ (*nberr)++; - printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]); - fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]); - s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */ + printf("Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\nOther similar cases in log file\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m); + fprintf(ficlog,"Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m); + s[m][i]=-2; /* We prefer to skip it (and to skip it in version 0.8a1 too */ } } } @@ -6910,11 +10297,11 @@ void syscompilerinfo(int logged) #endif - } +} - int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ +int prevalence_limit(double *p, double **prlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp){ /*--------------- Prevalence limit (period or stable prevalence) --------------*/ - int i, j, k, i1 ; + int i, j, k, i1, k4=0, nres=0 ; /* double ftolpl = 1.e-10; */ double age, agebase, agelim; double tot; @@ -6925,65 +10312,192 @@ void syscompilerinfo(int logged) printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1; } - printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl); - fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl); + printf("\nComputing period (stable) prevalence: result on file '%s' \n", filerespl); + fprintf(ficlog,"\nComputing period (stable) prevalence: result on file '%s' \n", filerespl); pstamp(ficrespl); fprintf(ficrespl,"# Period (stable) prevalence. Precision given by ftolpl=%g \n", ftolpl); fprintf(ficrespl,"#Age "); for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i); fprintf(ficrespl,"\n"); - /* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ + /* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ - agebase=ageminpar; - agelim=agemaxpar; + agebase=ageminpar; + agelim=agemaxpar; - i1=pow(2,cptcoveff); - if (cptcovn < 1){i1=1;} + /* i1=pow(2,ncoveff); */ + i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ + if (cptcovn < 1){i1=1;} - for(cptcov=1,k=0;cptcov<=i1;cptcov++){ - /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ + for(k=1; k<=i1;k++){ /* For each combination k of dummy covariates in the model */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + if(i1 != 1 && TKresult[nres]!= k) + continue; + + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ + /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */ //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){ - k=k+1; - /* to clean */ - //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); - fprintf(ficrespl,"#******"); - printf("#******"); - fprintf(ficlog,"#******"); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - fprintf(ficrespl,"******\n"); - printf("******\n"); - fprintf(ficlog,"******\n"); - - fprintf(ficrespl,"#Age "); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); - fprintf(ficrespl,"Total Years_to_converge\n"); - - for (age=agebase; age<=agelim; age++){ + /* k=k+1; */ + /* to clean */ + //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); + fprintf(ficrespl,"#******"); + printf("#******"); + fprintf(ficlog,"#******"); + for(j=1;j<=cptcoveff ;j++) {/* all covariates */ + fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); /* Here problem for varying dummy*/ + printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } + fprintf(ficrespl,"******\n"); + printf("******\n"); + fprintf(ficlog,"******\n"); + if(invalidvarcomb[k]){ + printf("\nCombination (%d) ignored because no case \n",k); + fprintf(ficrespl,"#Combination (%d) ignored because no case \n",k); + fprintf(ficlog,"\nCombination (%d) ignored because no case \n",k); + continue; + } + + fprintf(ficrespl,"#Age "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i); + fprintf(ficrespl,"Total Years_to_converge\n"); + + for (age=agebase; age<=agelim; age++){ /* for (age=agebase; age<=agebase; age++){ */ - prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k); - fprintf(ficrespl,"%.0f ",age ); - for(j=1;j<=cptcoveff;j++) - fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - tot=0.; - for(i=1; i<=nlstate;i++){ - tot += prlim[i][i]; - fprintf(ficrespl," %.5f", prlim[i][i]); - } - fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); - } /* Age */ - /* was end of cptcod */ + prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); + fprintf(ficrespl,"%.0f ",age ); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + tot=0.; + for(i=1; i<=nlstate;i++){ + tot += prlim[i][i]; + fprintf(ficrespl," %.5f", prlim[i][i]); + } + fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp); + } /* Age */ + /* was end of cptcod */ } /* cptcov */ - return 0; + } /* nres */ + return 0; } +int 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){ + /*--------------- Back Prevalence limit (period or stable prevalence) --------------*/ + + /* Computes the back prevalence limit for any combination of covariate values + * at any age between ageminpar and agemaxpar + */ + int i, j, k, i1, nres=0 ; + /* double ftolpl = 1.e-10; */ + double age, agebase, agelim; + double tot; + /* double ***mobaverage; */ + /* double **dnewm, **doldm, **dsavm; /\* for use *\/ */ + + strcpy(fileresplb,"PLB_"); + strcat(fileresplb,fileresu); + if((ficresplb=fopen(fileresplb,"w"))==NULL) { + printf("Problem with period (stable) back prevalence resultfile: %s\n", fileresplb);return 1; + fprintf(ficlog,"Problem with period (stable) back prevalence resultfile: %s\n", fileresplb);return 1; + } + printf("Computing period (stable) back prevalence: result on file '%s' \n", fileresplb); + fprintf(ficlog,"Computing period (stable) back prevalence: result on file '%s' \n", fileresplb); + pstamp(ficresplb); + fprintf(ficresplb,"# Period (stable) back prevalence. Precision given by ftolpl=%g \n", ftolpl); + fprintf(ficresplb,"#Age "); + for(i=1; i<=nlstate;i++) fprintf(ficresplb,"%d-%d ",i,i); + fprintf(ficresplb,"\n"); + + + /* prlim=matrix(1,nlstate,1,nlstate);*/ /* back in main */ + + agebase=ageminpar; + agelim=agemaxpar; + + + i1=pow(2,cptcoveff); + if (cptcovn < 1){i1=1;} + + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ + if(i1 != 1 && TKresult[nres]!= k) + continue; + //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov)); + fprintf(ficresplb,"#******"); + printf("#******"); + fprintf(ficlog,"#******"); + for(j=1;j<=cptcoveff ;j++) {/* all covariates */ + fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + fprintf(ficresplb,"******\n"); + printf("******\n"); + fprintf(ficlog,"******\n"); + if(invalidvarcomb[k]){ + printf("\nCombination (%d) ignored because no cases \n",k); + fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k); + fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k); + continue; + } + + fprintf(ficresplb,"#Age "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i); + fprintf(ficresplb,"Total Years_to_converge\n"); + + + for (age=agebase; age<=agelim; age++){ + /* for (age=agebase; age<=agebase; age++){ */ + if(mobilavproj > 0){ + /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */ + /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ + bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k, nres); + }else if (mobilavproj == 0){ + printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); + fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj); + exit(1); + }else{ + /* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */ + bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k,nres); + /* printf("TOTOT\n"); */ + /* exit(1); */ + } + fprintf(ficresplb,"%.0f ",age ); + for(j=1;j<=cptcoveff;j++) + fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + tot=0.; + for(i=1; i<=nlstate;i++){ + tot += bprlim[i][i]; + fprintf(ficresplb," %.5f", bprlim[i][i]); + } + fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp); + } /* Age */ + /* was end of cptcod */ + /*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */ + } /* end of any combination */ + } /* end of nres */ + /* hBijx(p, bage, fage); */ + /* fclose(ficrespijb); */ + + return 0; +} + int hPijx(double *p, int bage, int fage){ /*------------- h Pij x at various ages ------------*/ @@ -6991,7 +10505,7 @@ int hPijx(double *p, int bage, int fage) int agelim; int hstepm; int nhstepm; - int h, i, i1, j, k; + int h, i, i1, j, k, k4, nres=0; double agedeb; double ***p3mat; @@ -7010,18 +10524,25 @@ int hPijx(double *p, int bage, int fage) agelim=AGESUP; hstepm=stepsize*YEARM; /* Every year of age */ hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ - + /* hstepm=1; aff par mois*/ pstamp(ficrespij); fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x "); i1= pow(2,cptcoveff); - /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ - /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ - /* k=k+1; */ - for (k=1; k <= (int) pow(2,cptcoveff); k++){ + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ + /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ + /* k=k+1; */ + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ + if(i1 != 1 && TKresult[nres]!= k) + continue; fprintf(ficrespij,"\n#****** "); for(j=1;j<=cptcoveff;j++) fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); + } fprintf(ficrespij,"******\n"); for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */ @@ -7032,7 +10553,7 @@ int hPijx(double *p, int bage, int fage) p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); oldm=oldms;savm=savms; - hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); + hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres); fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j="); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate+ndeath;j++) @@ -7051,8 +10572,97 @@ int hPijx(double *p, int bage, int fage) } /*}*/ } - return 0; + return 0; } + + int hBijx(double *p, int bage, int fage, double ***prevacurrent){ + /*------------- h Bij x at various ages ------------*/ + + int stepsize; + /* int agelim; */ + int ageminl; + int hstepm; + int nhstepm; + int h, i, i1, j, k, nres; + + double agedeb; + double ***p3mat; + + strcpy(filerespijb,"PIJB_"); strcat(filerespijb,fileresu); + if((ficrespijb=fopen(filerespijb,"w"))==NULL) { + printf("Problem with Pij back resultfile: %s\n", filerespijb); return 1; + fprintf(ficlog,"Problem with Pij back resultfile: %s\n", filerespijb); return 1; + } + printf("Computing pij back: result on file '%s' \n", filerespijb); + fprintf(ficlog,"Computing pij back: result on file '%s' \n", filerespijb); + + stepsize=(int) (stepm+YEARM-1)/YEARM; + /*if (stepm<=24) stepsize=2;*/ + + /* agelim=AGESUP; */ + ageminl=30; + hstepm=stepsize*YEARM; /* Every year of age */ + hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ + + /* hstepm=1; aff par mois*/ + pstamp(ficrespijb); + fprintf(ficrespijb,"#****** h Bij x Back probability to be in state i at age x-h being in j at x: B1j+B2j+...=1 "); + i1= pow(2,cptcoveff); + /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */ + /* /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */ + /* k=k+1; */ + for(nres=1; nres <= nresult; nres++){ /* For each resultline */ + for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ + if(i1 != 1 && TKresult[nres]!= k) + continue; + fprintf(ficrespijb,"\n#****** "); + for(j=1;j<=cptcoveff;j++) + fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + fprintf(ficrespijb,"******\n"); + if(invalidvarcomb[k]){ /* Is it necessary here? */ + fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k); + continue; + } + + /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */ + for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */ + /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */ + nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 */ + + /* nhstepm=nhstepm*YEARM; aff par mois*/ + + p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */ + /* and memory limitations if stepm is small */ + + /* oldm=oldms;savm=savms; */ + /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */ + hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres); + /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */ + fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j="); + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate+ndeath;j++) + fprintf(ficrespijb," %1d-%1d",i,j); + fprintf(ficrespijb,"\n"); + for (h=0; h<=nhstepm; h++){ + /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/ + fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm ); + /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */ + for(i=1; i<=nlstate;i++) + for(j=1; j<=nlstate+ndeath;j++) + fprintf(ficrespijb," %.5f", p3mat[i][j][h]); + fprintf(ficrespijb,"\n"); + } + free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + fprintf(ficrespijb,"\n"); + } /* end age deb */ + } /* end combination */ + } /* end nres */ + return 0; + } /* hBijx */ /***********************************************/ @@ -7077,7 +10687,11 @@ int main(int argc, char *argv[]) int itimes; int NDIM=2; int vpopbased=0; - + int nres=0; + int endishere=0; + int noffset=0; + int ncurrv=0; /* Temporary variable */ + char ca[32], cb[32]; /* FILE *fichtm; *//* Html File */ /* FILE *ficgp;*/ /*Gnuplot File */ @@ -7085,16 +10699,19 @@ int main(int argc, char *argv[]) double agedeb=0.; double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW; + double ageminout=-AGEOVERFLOW,agemaxout=AGEOVERFLOW; /* Smaller Age range redefined after movingaverage */ double fret; double dum=0.; /* Dummy variable */ double ***p3mat; - double ***mobaverage; + /* double ***mobaverage; */ char line[MAXLINE]; char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE]; - char model[MAXLINE], modeltemp[MAXLINE]; + char modeltemp[MAXLINE]; + char resultline[MAXLINE]; + char pathr[MAXLINE], pathimach[MAXLINE]; char *tok, *val; /* pathtot */ int firstobs=1, lastobs=10; @@ -7105,6 +10722,7 @@ int main(int argc, char *argv[]) int *tab; int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */ + int backcast=0; int mobilav=0,popforecast=0; int hstepm=0, nhstepm=0; int agemortsup; @@ -7115,17 +10733,23 @@ int main(int argc, char *argv[]) double bage=0, fage=110., age, agelim=0., agebase=0.; double ftolpl=FTOL; double **prlim; + double **bprlim; double ***param; /* Matrix of parameters */ - double *p; + double ***paramstart; /* Matrix of starting parameter values */ + double *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */ double **matcov; /* Matrix of covariance */ double **hess; /* Hessian matrix */ double ***delti3; /* Scale */ double *delti; /* Scale */ double ***eij, ***vareij; double **varpl; /* Variances of prevalence limits by age */ + double *epj, vepp; - double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000; + double dateprev1, dateprev2; + double jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000, dateproj1=0, dateproj2=0; + double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000, dateback1=0, dateback2=0; + double **ximort; char *alph[]={"a","a","b","c","d","e"}, str[4]="1234"; int *dcwave; @@ -7202,8 +10826,13 @@ int main(int argc, char *argv[]) if(pathr[0] == '\0') break; /* Dirty */ } } + else if (argc<=2){ + strcpy(pathtot,argv[1]); + } else{ strcpy(pathtot,argv[1]); + strcpy(z,argv[2]); + printf("\nargv[2]=%s z=%c\n",argv[2],z[0]); } /*if(getcwd(pathcd, MAXLINE)!= NULL)printf ("Error pathcd\n");*/ /*cygwin_split_path(pathtot,path,optionfile); @@ -7281,8 +10910,6 @@ int main(int argc, char *argv[]) exit(70); } - - strcpy(filereso,"o"); strcat(filereso,fileresu); if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */ @@ -7291,17 +10918,52 @@ int main(int argc, char *argv[]) fflush(ficlog); goto end; } + /*-------- Rewriting parameter file ----------*/ + strcpy(rfileres,"r"); /* "Rparameterfile */ + strcat(rfileres,optionfilefiname); /* Parameter file first name */ + strcat(rfileres,"."); /* */ + strcat(rfileres,optionfilext); /* Other files have txt extension */ + if((ficres =fopen(rfileres,"w"))==NULL) { + printf("Problem writing new parameter file: %s\n", rfileres);goto end; + fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end; + fflush(ficlog); + goto end; + } + fprintf(ficres,"#IMaCh %s\n",version); + /* Reads comments: lines beginning with '#' */ numlinepar=0; - - /* First parameter line */ + /* Is it a BOM UTF-8 Windows file? */ + /* First parameter line */ while(fgets(line, MAXLINE, ficpar)) { + noffset=0; + if( line[0] == (char)0xEF && line[1] == (char)0xBB) /* EF BB BF */ + { + noffset=noffset+3; + printf("# File is an UTF8 Bom.\n"); // 0xBF + } + else if( line[0] == (char)0xFE && line[1] == (char)0xFF) + { + noffset=noffset+2; + printf("# File is an UTF16BE BOM file\n"); + } + else if( line[0] == 0 && line[1] == 0) + { + if( line[2] == (char)0xFE && line[3] == (char)0xFF){ + noffset=noffset+4; + printf("# File is an UTF16BE BOM file\n"); + } + } else{ + ;/*printf(" Not a BOM file\n");*/ + } + /* If line starts with a # it is a comment */ - if (line[0] == '#') { + if (line[noffset] == '#') { numlinepar++; fputs(line,stdout); fputs(line,ficparo); + fputs(line,ficres); fputs(line,ficlog); continue; }else @@ -7311,29 +10973,40 @@ int main(int argc, char *argv[]) title, datafile, &lastobs, &firstpass,&lastpass)) !=EOF){ if (num_filled != 5) { printf("Should be 5 parameters\n"); + fprintf(ficlog,"Should be 5 parameters\n"); } numlinepar++; printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass); + fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass); + fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass); + fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass); } /* Second parameter line */ while(fgets(line, MAXLINE, ficpar)) { - /* If line starts with a # it is a comment */ + /* while(fscanf(ficpar,"%[^\n]", line)) { */ + /* If line starts with a # it is a comment. Strangely fgets reads the EOL and fputs doesn't */ if (line[0] == '#') { numlinepar++; - fputs(line,stdout); - fputs(line,ficparo); - fputs(line,ficlog); + printf("%s",line); + fprintf(ficres,"%s",line); + fprintf(ficparo,"%s",line); + fprintf(ficlog,"%s",line); continue; }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); + fprintf(ficlog,"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"); + fprintf(ficlog,"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); + fprintf(ficparo,"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); + fprintf(ficres,"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); + fprintf(ficlog,"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 */ @@ -7342,19 +11015,18 @@ int main(int argc, char *argv[]) /* If line starts with a # it is a comment */ if (line[0] == '#') { numlinepar++; - fputs(line,stdout); - fputs(line,ficparo); - fputs(line,ficlog); + printf("%s",line); + fprintf(ficres,"%s",line); + fprintf(ficparo,"%s",line); + fprintf(ficlog,"%s",line); continue; }else break; } if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){ - if (num_filled == 0) - model[0]='\0'; - else if (num_filled != 1){ - printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line); - fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line); + if (num_filled != 1){ + printf("ERROR %d: Model should be at minimum 'model=1+age' %s\n",num_filled, line); + fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age' %s\n",num_filled, line); model[0]='\0'; goto end; } @@ -7367,20 +11039,23 @@ int main(int argc, char *argv[]) } /* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */ printf("model=1+age+%s\n",model);fflush(stdout); + fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout); + fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout); + fprintf(ficlog,"model=1+age+%s\n",model);fflush(stdout); } /* 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]=='#'){ - printf("Error in 'model' line: model should start with 'model=1+age+' and end with '.' \n \ - 'model=1+age+.' or 'model=1+age+V1.' or 'model=1+age+age*age+V1+V1*age.' or \n \ - 'model=1+age+V1+V2.' or 'model=1+age+V1+V2+V1*V2.' etc. \n"); \ + printf("Error in 'model' line: model should start with 'model=1+age+' and end without space \n \ + 'model=1+age+' or 'model=1+age+V1.' or 'model=1+age+age*age+V1+V1*age' or \n \ + 'model=1+age+V1+V2' or 'model=1+age+V1+V2+V1*V2' etc. \n"); \ if(mle != -1){ - printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter file.\n"); + printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter vectors and subdiagonal covariance matrix.\n"); exit(1); } } @@ -7401,6 +11076,9 @@ int main(int argc, char *argv[]) covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */ + if(nqv>=1)coqvar=matrix(1,nqv,1,n); /**< Fixed quantitative covariate */ + if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< Time varying quantitative covariate */ + if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,1,n); /**< Time varying covariate (dummy and quantitative)*/ 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 @@ -7422,6 +11100,12 @@ int main(int argc, char *argv[]) delti=delti3[1][1]; /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/ if(mle==-1){ /* Print a wizard for help writing covariance matrix */ +/* We could also provide initial parameters values giving by simple logistic regression + * only one way, that is without matrix product. We will have nlstate maximizations */ + /* for(i=1;i 1.10){ @@ -7685,8 +11408,8 @@ Please run with mle=-1 to get a correct free_vector(annais,1,n); /* free_matrix(mint,1,maxwav,1,n); free_matrix(anint,1,maxwav,1,n);*/ - free_vector(moisdc,1,n); - free_vector(andc,1,n); + /* free_vector(moisdc,1,n); */ + /* free_vector(andc,1,n); */ /* */ wav=ivector(1,imx); @@ -7706,19 +11429,29 @@ Please run with mle=-1 to get a correct */ concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm); - /* */ + /* Concatenates waves */ - /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ + free_vector(moisdc,1,n); + 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 @@ -7775,11 +11504,11 @@ Please run with mle=-1 to get a correct * bbbbbbbb * 76543210 * h-1 00000101 (6-1=5) - *(h-1)>>(k-1)= 00000001 >> (2-1) = 1 right shift + *(h-1)>>(k-1)= 00000010 >> (2-1) = 1 right shift * & * 1 00000001 (1) - * 00000001 = 1 & ((h-1) >> (k-1)) - * +1= 00000010 =2 + * 00000000 = 1 & ((h-1) >> (k-1)) + * +1= 00000001 =1 * * h=14, k=3 => h'=h-1=13, k'=k-1=2 * h' 1101 =2^3+2^2+0x2^1+2^0 @@ -7801,40 +11530,9 @@ 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); @@ -7909,23 +11607,44 @@ 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, p, pstart, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \ firstpass, lastpass, stepm, weightopt, model); fprintf(fichtm,"\n"); - fprintf(fichtm,"
      Total number of observations=%d
      \n\ + fprintf(fichtm,"

      Parameter line 2

      • Tolerance for the convergence of the likelihood: ftol=%f \n
      • Interval for the elementary matrix (in month): stepm=%d",\ + ftol, stepm); + fprintf(fichtm,"\n
      • Number of fixed dummy covariates: ncovcol=%d ", ncovcol); + ncurrv=1; + for(i=ncurrv; i <=ncovcol; i++) fprintf(fichtm,"V%d ", i); + fprintf(fichtm,"\n
      • Number of fixed quantitative variables: nqv=%d ", nqv); + ncurrv=i; + for(i=ncurrv; i <=ncurrv-1+nqv; i++) fprintf(fichtm,"V%d ", i); + fprintf(fichtm,"\n
      • Number of time varying (wave varying) covariates: ntv=%d ", ntv); + ncurrv=i; + for(i=ncurrv; i <=ncurrv-1+ntv; i++) fprintf(fichtm,"V%d ", i); + fprintf(fichtm,"\n
      • Number of quantitative time varying covariates: nqtv=%d ", nqtv); + ncurrv=i; + for(i=ncurrv; i <=ncurrv-1+nqtv; i++) fprintf(fichtm,"V%d ", i); + fprintf(fichtm,"\n
      • Weights column \n
        Number of alive states: nlstate=%d
        Number of death states (not really implemented): ndeath=%d \n
      • Number of waves: maxwav=%d \n
      • Parameter for maximization (1), using parameter values (0), for design of parameters and variance-covariance matrix: mle=%d \n
      • Does the weight column be taken into account (1), or not (0): weight=%d
      \n", \ + nlstate, ndeath, maxwav, mle, weightopt); + + fprintf(fichtm,"

      Diagram of states %s_.svg

      \n\ +", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_")); + + + fprintf(fichtm,"\n

      Some descriptive statistics

      \n
      Total number of observations=%d
      \n\ Youngest age at first (selected) pass %.2f, oldest age %.2f
      \n\ Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf
      \n",\ - imx,agemin,agemax,jmin,jmax,jmean); + 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] */ p=param[1][1]; /* *(*(*(param +1)+1)+0) */ @@ -7934,12 +11653,15 @@ 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++) @@ -7949,13 +11671,13 @@ Interval (in months) between two waves: 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; @@ -8082,14 +11804,14 @@ 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 "); } @@ -8130,6 +11852,8 @@ 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\ @@ -8137,8 +11861,11 @@ 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); @@ -8146,11 +11873,11 @@ 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 */ @@ -8164,6 +11891,10 @@ Please run with mle=-1 to get a correct printf("\n"); if(mle>=1){ /* Could be 1 or 2, Real Maximization */ /* mlikeli uses func not funcone */ + /* for(i=1;i MAXRESULTLINES){ + printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); + fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult); + goto end; + } + decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */ + fprintf(ficparo,"result: %s\n",resultline); + fprintf(ficres,"result: %s\n",resultline); + fprintf(ficlog,"result: %s\n",resultline); + break; + case 14: + if(ncovmodel >2 && nresult==0 ){ + printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line); + goto end; + } + break; + default: + nresult=1; + decoderesult(".",nresult ); /* No covariate */ + } + } /* End switch parameterline */ + }while(endishere==0); /* End do */ - /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */ + /* 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 - printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, pathc,p); - - printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt,\ - model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,estepm, \ - jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); - - /*------------ free_vector -------------*/ - /* chdir(path); */ - - free_ivector(wav,1,imx); - free_imatrix(dh,1,lastpass-firstpass+2,1,imx); - free_imatrix(bh,1,lastpass-firstpass+2,1,imx); - free_imatrix(mw,1,lastpass-firstpass+2,1,imx); + }else{ + /* printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)agemin, (int)anback1-(int)agemax+1); */ + printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, backcast, pathc,p, (int)anproj1-bage, (int)anback1-fage); + } + printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \ + model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,backcast, estepm, \ + jprev1,mprev1,anprev1,dateprev1, dateproj1, dateback1,jprev2,mprev2,anprev2,dateprev2,dateproj2, dateback2); + + /*------------ 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); */ + /* free_imatrix(mw,1,lastpass-firstpass+2,1,imx); */ free_lvector(num,1,n); free_vector(agedc,1,n); /*free_matrix(covar,0,NCOVMAX,1,n);*/ /*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); prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear); fclose(ficrespl); -#ifdef FREEEXIT2 -#include "freeexit2.h" -#endif - /*------------- h Pij x at various ages ------------*/ /*#include "hpijx.h"*/ hPijx(p, bage, fage); fclose(ficrespij); - - /*-------------- Variance of one-step probabilities---*/ + + /* ncovcombmax= pow(2,cptcoveff); */ + /*-------------- Variance of one-step probabilities---*/ k=1; varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart); - - - probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX); - for(i=1;i<=AGESUP;i++) - for(j=1;j<=NCOVMAX;j++) - for(k=1;k<=NCOVMAX;k++) + + /* Prevalence for each covariate combination in probs[age][status][cov] */ + probs= ma3x(AGEINF,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); + for(i=AGEINF;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.; - + prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, + ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); + if (mobilav!=0 ||mobilavproj !=0 ) { + mobaverages= ma3x(AGEINF, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); + for(i=AGEINF;i<=AGESUP;i++) + for(j=1;j<=nlstate+ndeath;j++) + for(k=1;k<=ncovcombmax;k++) + mobaverages[i][j][k]=0.; + mobaverage=mobaverages; + if (mobilav!=0) { + printf("Movingaveraging observed prevalence\n"); + fprintf(ficlog,"Movingaveraging observed prevalence\n"); + if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){ + fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); + printf(" Error in movingaverage mobilav=%d\n",mobilav); + } + } else if (mobilavproj !=0) { + printf("Movingaveraging projected observed prevalence\n"); + fprintf(ficlog,"Movingaveraging projected observed prevalence\n"); + if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){ + fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj); + printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj); + } + }else{ + printf("Internal error moving average\n"); + fflush(stdout); + exit(1); + } + }/* end if moving average */ + /*---------- Forecasting ------------------*/ - /*if((stepm == 1) && (strcmp(model,".")==0)){*/ if(prevfcast==1){ /* if(stepm ==1){*/ - prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); - /* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/ - /* } */ - /* else{ */ - /* erreur=108; */ - /* printf("Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */ - /* fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */ - /* } */ + prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff); } - - /* ------ Other prevalence ratios------------ */ - /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */ + /* Backcasting */ + if(backcast==1){ + ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); + ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); + ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath); - prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); - /* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\ - ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass); - */ + /*--------------- Back Prevalence limit (period or stable prevalence) --------------*/ - if (mobilav!=0) { - mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){ - fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); - printf(" Error in movingaverage mobilav=%d\n",mobilav); - } - } + bprlim=matrix(1,nlstate,1,nlstate); + back_prevalence_limit(p, bprlim, ageminpar, agemaxpar, ftolpl, &ncvyear, dateprev1, dateprev2, firstpass, lastpass, mobilavproj); + fclose(ficresplb); - /*---------- Health expectancies, no variances ------------*/ + hBijx(p, bage, fage, mobaverage); + fclose(ficrespijb); + + prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, + mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff); + varbprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, bprlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); + + + free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */ + free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath); + free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath); + free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath); + } /* end Backcasting */ + + + /* ------ Other prevalence ratios------------ */ + free_ivector(wav,1,imx); + free_imatrix(dh,1,lastpass-firstpass+2,1,imx); + free_imatrix(bh,1,lastpass-firstpass+2,1,imx); + free_imatrix(mw,1,lastpass-firstpass+2,1,imx); + + + /*---------- Health expectancies, no variances ------------*/ + strcpy(filerese,"E_"); strcat(filerese,fileresu); if((ficreseij=fopen(filerese,"w"))==NULL) { @@ -8531,30 +12397,42 @@ 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(cptcov=1,k=0;cptcov<=i1;cptcov++){ - for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/ - - for (k=1; k <= (int) pow(2,cptcoveff); k++){ - fprintf(ficreseij,"\n#****** "); - for(j=1;j<=cptcoveff;j++) { - fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); - } - fprintf(ficreseij,"******\n"); - eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); - oldm=oldms;savm=savms; - evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart); + pstamp(ficreseij); + + i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ + if (cptcovn < 1){i1=1;} + + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ + if(i1 != 1 && TKresult[nres]!= k) + continue; + fprintf(ficreseij,"\n#****** "); + printf("\n#****** "); + for(j=1;j<=cptcoveff;j++) { + fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficreseij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } + fprintf(ficreseij,"******\n"); + printf("******\n"); - free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); - /*}*/ + eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); + oldm=oldms;savm=savms; + evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres); + + free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); } fclose(ficreseij); 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_"); strcat(filerest,fileresu); if((ficrest=fopen(filerest,"w"))==NULL) { @@ -8563,25 +12441,23 @@ Please run with mle=-1 to get a correct } printf("Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(stdout); fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(ficlog); - - 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); @@ -8589,17 +12465,32 @@ 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++){ - fprintf(ficrest,"\n#****** "); - for(j=1;j<=cptcoveff;j++) + i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */ + if (cptcovn < 1){i1=1;} + + for(nres=1; nres <= nresult; nres++) /* For each resultline */ + for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */ + if(i1 != 1 && TKresult[nres]!= k) + continue; + printf("\n#****** Result for:"); + fprintf(ficrest,"\n#****** Result for:"); + fprintf(ficlog,"\n#****** Result for:"); + for(j=1;j<=cptcoveff;j++){ + printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + } + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } fprintf(ficrest,"******\n"); + fprintf(ficlog,"******\n"); + printf("******\n"); fprintf(ficresstdeij,"\n#****** "); fprintf(ficrescveij,"\n#****** "); @@ -8607,19 +12498,27 @@ Please run with mle=-1 to get a correct fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); } + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficresstdeij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + fprintf(ficrescveij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } fprintf(ficresstdeij,"******\n"); fprintf(ficrescveij,"******\n"); fprintf(ficresvij,"\n#****** "); + /* pstamp(ficresvij); */ for(j=1;j<=cptcoveff;j++) fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); + for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */ + fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); + } fprintf(ficresvij,"******\n"); eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); oldm=oldms;savm=savms; - printf(" cvevsij %d, ",k); - fprintf(ficlog, " cvevsij %d, ",k); - cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart); + printf(" cvevsij "); + fprintf(ficlog, " cvevsij "); + cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart, nres); printf(" end cvevsij \n "); fprintf(ficlog, " end cvevsij \n "); @@ -8630,13 +12529,13 @@ Please run with mle=-1 to get a correct vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); pstamp(ficrest); - + epj=vector(1,nlstate+1); 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); - 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 */ + 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, nres); /* cptcod not initialized Intel */ fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are "); if(vpopbased==1) fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav); @@ -8646,11 +12545,10 @@ Please run with mle=-1 to get a correct for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i); fprintf(ficrest,"\n"); /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */ - epj=vector(1,nlstate+1); printf("Computing age specific period (stable) prevalences in each health state \n"); fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n"); for(age=bage; age <=fage ;age++){ - prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k); /*ZZ Is it the correct prevalim */ + prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k, nres); /*ZZ Is it the correct prevalim */ if (vpopbased==1) { if(mobilav ==0){ for(i=1; i<=nlstate;i++) @@ -8684,14 +12582,21 @@ Please run with mle=-1 to get a correct fprintf(ficrest,"\n"); } } /* End vpopbased */ + free_vector(epj,1,nlstate+1); free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage); free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage); - free_vector(epj,1,nlstate+1); - printf("done \n");fflush(stdout); - fprintf(ficlog,"done\n");fflush(ficlog); + printf("done selection\n");fflush(stdout); + fprintf(ficlog,"done selection\n");fflush(ficlog); - /*}*/ - } /* End k */ + } /* End k selection */ + + printf("done State-specific expectancies\n");fflush(stdout); + fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog); + + /* variance-covariance of period prevalence*/ + varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff); + + free_vector(weight,1,n); free_imatrix(Tvard,1,NCOVMAX,1,2); free_imatrix(s,1,maxwav+1,1,n); @@ -8703,75 +12608,78 @@ Please run with mle=-1 to get a correct 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------*/ - - strcpy(fileresvpl,"VPL_"); - strcat(fileresvpl,fileresu); - if((ficresvpl=fopen(fileresvpl,"w"))==NULL) { - printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl); - exit(0); - } - 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); - /*}*/ - } - - fclose(ficresvpl); - printf("done variance-covariance of period prevalence\n");fflush(stdout); - fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog); - + + /*---------- End : free ----------------*/ - if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX); - } /* mle==-3 arrives here for freeing */ - /* endfree:*/ + if (mobilav!=0 ||mobilavproj !=0) + free_ma3x(mobaverages,AGEINF, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */ + free_ma3x(probs,AGEINF,AGESUP,1,nlstate+ndeath, 1,ncovcombmax); 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); + if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,1,n); + if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,1,n); + if(nqv>=1)free_matrix(coqvar,1,nqv,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(paramstart,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); + 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(DummyV,1,NCOVMAX); + free_ivector(FixedV,1,NCOVMAX); + free_ivector(Typevar,-1,NCOVMAX); + free_ivector(Tvar,1,NCOVMAX); + free_ivector(TvarsQ,1,NCOVMAX); + free_ivector(TvarsQind,1,NCOVMAX); + free_ivector(TvarsD,1,NCOVMAX); + free_ivector(TvarsDind,1,NCOVMAX); + free_ivector(TvarFD,1,NCOVMAX); + free_ivector(TvarFDind,1,NCOVMAX); + free_ivector(TvarF,1,NCOVMAX); + free_ivector(TvarFind,1,NCOVMAX); + free_ivector(TvarV,1,NCOVMAX); + free_ivector(TvarVind,1,NCOVMAX); + free_ivector(TvarA,1,NCOVMAX); + free_ivector(TvarAind,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\n",nberr,nbwarn); - fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn); + 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); }else{ printf("End of Imach\n"); fprintf(ficlog,"End of Imach\n"); @@ -8786,7 +12694,7 @@ 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)); @@ -8799,17 +12707,19 @@ Please run with mle=-1 to get a correct fclose(ficgp); fclose(ficlog); /*------ End -----------*/ + - - printf("Before Current directory %s!\n",pathcd); +/* Executes gnuplot */ + + 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);*/ @@ -8835,7 +12745,7 @@ 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"); @@ -8863,9 +12773,11 @@ 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); } + printf("End\n"); + exit(0); }