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Diff for /imach/src/imach.c between versions 1.142 and 1.157

version 1.142, 2014/01/26 03:57:36	version 1.157, 2014/08/27 16:26:55
Line 1	Line 1
/* $Id$	/* $Id$
$State$	$State$
$Log$	$Log$
	Revision 1.157 2014/08/27 16:26:55 brouard
	Summary: Preparing windows Visual studio version
	Author: Brouard

	In order to compile on Visual studio, time.h is now correct and time_t
	and tm struct should be used. difftime should be used but sometimes I
	just make the differences in raw time format (time(&now).
	Trying to suppress #ifdef LINUX
	Add xdg-open for __linux in order to open default browser.

	Revision 1.156 2014/08/25 20:10:10 brouard
	* empty log message *

	Revision 1.155 2014/08/25 18:32:34 brouard
	Summary: New compile, minor changes
	Author: Brouard

	Revision 1.154 2014/06/20 17:32:08 brouard
	Summary: Outputs now all graphs of convergence to period prevalence

	Revision 1.153 2014/06/20 16:45:46 brouard
	Summary: If 3 live state, convergence to period prevalence on same graph
	Author: Brouard

	Revision 1.152 2014/06/18 17:54:09 brouard
	Summary: open browser, use gnuplot on same dir than imach if not found in the path

	Revision 1.151 2014/06/18 16:43:30 brouard
	* empty log message *

	Revision 1.150 2014/06/18 16:42:35 brouard
	Summary: If gnuplot is not in the path try on same directory than imach binary (OSX)
	Author: brouard

	Revision 1.149 2014/06/18 15:51:14 brouard
	Summary: Some fixes in parameter files errors
	Author: Nicolas Brouard

	Revision 1.148 2014/06/17 17:38:48 brouard
	Summary: Nothing new
	Author: Brouard

	Just a new packaging for OS/X version 0.98nS

	Revision 1.147 2014/06/16 10:33:11 brouard
	* empty log message *

	Revision 1.146 2014/06/16 10:20:28 brouard
	Summary: Merge
	Author: Brouard

	Merge, before building revised version.

	Revision 1.145 2014/06/10 21:23:15 brouard
	Summary: Debugging with valgrind
	Author: Nicolas Brouard

	Lot of changes in order to output the results with some covariates
	After the Edimburgh REVES conference 2014, it seems mandatory to
	improve the code.
	No more memory valgrind error but a lot has to be done in order to
	continue the work of splitting the code into subroutines.
	Also, decodemodel has been improved. Tricode is still not
	optimal. nbcode should be improved. Documentation has been added in
	the source code.

	Revision 1.143 2014/01/26 09:45:38 brouard
	Summary: Version 0.98nR (to be improved, but gives same optimization results as 0.98k. Nice, promising

	* imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
	(Module): Version 0.98nR Running ok, but output format still only works for three covariates.

Revision 1.142 2014/01/26 03:57:36 brouard	Revision 1.142 2014/01/26 03:57:36 brouard
Summary: gnuplot changed plot w l 1 has to be changed to plot w l lt 2	Summary: gnuplot changed plot w l 1 has to be changed to plot w l lt 2

Line 368	Line 440
begin-prev-date,...	begin-prev-date,...
open gnuplot file	open gnuplot file
open html file	open html file
period (stable) prevalence	period (stable) prevalence \| pl_nom 1-1 2-2 etc by covariate
for age prevalim()	for age prevalim() \| #**** V1=0 V2=1 V3=1 V4=0 ****
h Pij x	\| 65 1 0 2 1 3 1 4 0 0.96326 0.03674
variance of p varprob	freexexit2 possible for memory heap.

	h Pij x \| pij_nom ficrestpij
	# Cov Agex agex+h hpijx with i,j= 1-1 1-2 1-3 2-1 2-2 2-3
	1 85 85 1.00000 0.00000 0.00000 0.00000 1.00000 0.00000
	1 85 86 0.68299 0.22291 0.09410 0.71093 0.00000 0.28907

	1 65 99 0.00364 0.00322 0.99314 0.00350 0.00310 0.99340
	1 65 100 0.00214 0.00204 0.99581 0.00206 0.00196 0.99597
	variance of p one-step probabilities varprob \| prob_nom ficresprob #One-step probabilities and stand. devi in ()
	Standard deviation of one-step probabilities \| probcor_nom ficresprobcor #One-step probabilities and correlation matrix
	Matrix of variance covariance of one-step probabilities \| probcov_nom ficresprobcov #One-step probabilities and covariance matrix

forecasting if prevfcast==1 prevforecast call prevalence()	forecasting if prevfcast==1 prevforecast call prevalence()
health expectancies	health expectancies
Variance-covariance of DFLE	Variance-covariance of DFLE
Line 399	Line 483
#include <errno.h>	#include <errno.h>
extern int errno;	extern int errno;

#ifdef LINUX	/* #ifdef LINUX */
	/* #include <time.h> */
	/* #include "timeval.h" */
	/* #else */
	/* #include <sys/time.h> */
	/* #endif */

#include <time.h>	#include <time.h>
#include "timeval.h"
#else
#include <sys/time.h>
#endif

#ifdef GSL	#ifdef GSL
#include <gsl/gsl_errno.h>	#include <gsl/gsl_errno.h>
Line 423 extern int errno;	Line 509 extern int errno;
#define GLOCK_ERROR_NOPATH -1 /* empty path */	#define GLOCK_ERROR_NOPATH -1 /* empty path */
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */	#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */

#define MAXPARM 128 /* Maximum number of parameters for the optimization */	#define MAXPARM 128 /*< Maximum number of parameters for the optimization /
#define NPARMAX 64 /* (nlstate+ndeath-1)nlstatencovmodel */	#define NPARMAX 64 /*< (nlstate+ndeath-1)nlstatencovmodel /

#define NINTERVMAX 8	#define NINTERVMAX 8
#define NLSTATEMAX 8 /* Maximum number of live states (for func) */	#define NLSTATEMAX 8 /*< Maximum number of live states (for func) /
#define NDEATHMAX 8 /* Maximum number of dead states (for func) */	#define NDEATHMAX 8 /*< Maximum number of dead states (for func) /
#define NCOVMAX 20 /* Maximum number of covariates */	#define NCOVMAX 20 /*< Maximum number of covariates, including generated covariates V1V2 */
	#define codtabm(h,k) 1 & (h-1) >> (k-1) ;
#define MAXN 20000	#define MAXN 20000
#define YEARM 12. /* Number of months per year */	#define YEARM 12. /*< Number of months per year /
#define AGESUP 130	#define AGESUP 130
#define AGEBASE 40	#define AGEBASE 40
#define AGEGOMP 10. /* Minimal age for Gompertz adjustment */	#define AGEGOMP 10. /*< Minimal age for Gompertz adjustment /
#ifdef UNIX	#ifdef _WIN32
#define DIRSEPARATOR '/'
#define CHARSEPARATOR "/"
#define ODIRSEPARATOR '\\'
#else
#define DIRSEPARATOR '\\'	#define DIRSEPARATOR '\\'
#define CHARSEPARATOR "\\"	#define CHARSEPARATOR "\\"
#define ODIRSEPARATOR '/'	#define ODIRSEPARATOR '/'
	#else
	#define DIRSEPARATOR '/'
	#define CHARSEPARATOR "/"
	#define ODIRSEPARATOR '\\'
#endif	#endif

/* $Id$ */	/* $Id$ */
/* $State$ */	/* $State$ */

char version[]="Imach version 0.98nR, January 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121)";	char version[]="Imach version 0.98nX, August 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121)";
char fullversion[]="$Revision$ $Date$";	char fullversion[]="$Revision$ $Date$";
char strstart[80];	char strstart[80];
char optionfilext[10], optionfilefiname[FILENAMELENGTH];	char optionfilext[10], optionfilefiname[FILENAMELENGTH];
int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */	int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */
int nvar=0, nforce=0; /* Number of variables, number of forces */	int nvar=0, nforce=0; /* Number of variables, number of forces */
int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov=0; /* Number of covariates, of covariates with 'age' /	/* Number of covariates model=V2+V1+ V3age+V2V4 */
	int cptcovn=0; /*< cptcovn number of covariates added in the model (excepting constant and age and ageproduct) */
	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 cptcovage=0; /*< Number of covariates with age: V3age only =1 */
	int cptcovprodnoage=0; /*< Number of covariate products without age /
	int cptcoveff=0; /* Total number of covariates to vary for printing results */
	int cptcov=0; /* Working variable */
int npar=NPARMAX;	int npar=NPARMAX;
int nlstate=2; /* Number of live states */	int nlstate=2; /* Number of live states */
int ndeath=1; /* Number of dead states */	int ndeath=1; /* Number of dead states */
Line 473 int *dh; / dh[mi][i] is number of step	Line 567 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	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. */	* wave mi and wave mi+1 is not an exact multiple of stepm. */
double jmean=1; /* Mean space between 2 waves */	double jmean=1; /* Mean space between 2 waves */
	double *matprod2(); / test */
double oldm, newm, *savm; / Working pointers to matrices */	double oldm, newm, *savm; / Working pointers to matrices */
double oldms, newms, *savms; / Fixed working pointers to matrices */	double oldms, newms, *savms; / Fixed working pointers to matrices */
/FILE fic ; / / Used in readdata only */	/FILE fic ; / / Used in readdata only */
Line 514 char popfile[FILENAMELENGTH];	Line 609 char popfile[FILENAMELENGTH];

char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH], optionfilehtmcov[FILENAMELENGTH] ;	char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH], optionfilehtmcov[FILENAMELENGTH] ;

struct timeval start_time, end_time, curr_time, last_time, forecast_time;	/* struct timeval start_time, end_time, curr_time, last_time, forecast_time; */
struct timezone tzp;	/* struct timezone tzp; */
extern int gettimeofday();	/* extern int gettimeofday(); */
struct tm tmg, tm, tmf, gmtime(), localtime();	struct tm tml, gmtime(), localtime();
long time_value;
extern long time();	extern time_t time();

	struct tm start_time, end_time, curr_time, last_time, forecast_time;
	time_t rstart_time, rend_time, rcurr_time, rlast_time, rforecast_time; /* raw time */
	struct tm tm;

char strcurr[80], strfor[80];	char strcurr[80], strfor[80];

char *endptr;	char *endptr;
Line 573 double dateintmean=0;	Line 673 double dateintmean=0;
double *weight;	double *weight;
int *s; / Status */	int *s; / Status */
double *agedc;	double *agedc;
double covar; /< covar[i,j], value of jth covariate for individual i,	double covar; /< covar[j,i], value of jth covariate for individual i,
* covar=matrix(0,NCOVMAX,1,n);	* covar=matrix(0,NCOVMAX,1,n);
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]cov[2]; /	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]cov[2]; /
double idx;	double idx;
int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /	int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /
	int Ndum; /* Freq of modality (tricode */
int codtab; /< codtab=imatrix(1,100,1,10); */	int codtab; /< codtab=imatrix(1,100,1,10); */
int *Tvard, Tprod, cptcovprod, *Tvaraff;	int *Tvard, Tprod, cptcovprod, *Tvaraff;
double lsurv, lpop, *tpop;	double lsurv, lpop, *tpop;

double ftol=FTOL; /* Tolerance for computing Max Likelihood */	double ftol=FTOL; /*< Tolerance for computing Max Likelihood /
double ftolhess; /* Tolerance for computing hessian */	double ftolhess; /*< Tolerance for computing hessian /

/************** split ***********************/	/************** split ***********************/
static int split( char path, char dirc, char name, char ext, char *finame )	static int split( char path, char dirc, char name, char ext, char *finame )
Line 666 char trimbb(char out, char *in)	Line 767 char trimbb(char out, char *in)
return s;	return s;
}	}

	char cutl(char blocc, char alocc, char in, char occ)
	{
	/* cuts string in into blocc and alocc where blocc ends before first occurence of char 'occ'
	and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
	gives blocc="abcdef2ghi" and alocc="j".
	If occ is not found blocc is null and alocc is equal to in. Returns blocc
	*/
	char s, t, *bl;
	t=in;s=in;
	while ((in != occ) && (in != '\0')){
	alocc++ = in++;
	}
	if( *in == occ){
	*(alocc)='\0';
	s=++in;
	}

	if (s == t) {/* occ not found */
	*(alocc-(in-s))='\0';
	in=s;
	}
	while ( *in != '\0'){
	blocc++ = in++;
	}

	*blocc='\0';
	return t;
	}
char cutv(char blocc, char alocc, char in, char occ)	char cutv(char blocc, char alocc, char in, char occ)
{	{
/* cuts string in into blocc and alocc where blocc ends before last occurence of char 'occ'	/* cuts string in into blocc and alocc where blocc ends before last occurence of char 'occ'
Line 836 double **matrix(long nrl, long nrh, long	Line 965 double **matrix(long nrl, long nrh, long

for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;	for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
return m;	return m;
/* print ((m+1)+70) or print m[1][70]; print m+1 or print &(m[1])	/* print ((m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) or &(m[1][0])
	m[i] = address of ith row of the table. &(m[i]) is its value which is another adress
	that of m[i][0]. In order to get the value p m[i][0] but it is unitialized.
*/	*/
}	}

Line 1132 void powell(double p[], double **xi, int	Line 1263 void powell(double p[], double **xi, int
xits=vector(1,n);	xits=vector(1,n);
fret=(func)(p);	fret=(func)(p);
for (j=1;j<=n;j++) pt[j]=p[j];	for (j=1;j<=n;j++) pt[j]=p[j];
	rcurr_time = time(NULL);
for (iter=1;;++(iter)) {	for (iter=1;;++(iter)) {
fp=(*fret);	fp=(*fret);
ibig=0;	ibig=0;
del=0.0;	del=0.0;
last_time=curr_time;	rlast_time=rcurr_time;
(void) gettimeofday(&curr_time,&tzp);	/* (void) gettimeofday(&curr_time,&tzp); */
printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);fflush(stdout);	rcurr_time = time(NULL);
fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec); fflush(ficlog);	curr_time = *localtime(&rcurr_time);
/* fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tv_sec-start_time.tv_sec); */	printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);
	fprintf(ficlog,"\nPowell iter=%d -2LL=%.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++) {	for (i=1;i<=n;i++) {
printf(" %d %.12f",i, p[i]);	printf(" %d %.12f",i, p[i]);
fprintf(ficlog," %d %.12lf",i, p[i]);	fprintf(ficlog," %d %.12lf",i, p[i]);
Line 1150 void powell(double p[], double **xi, int	Line 1284 void powell(double p[], double **xi, int
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficrespow,"\n");fflush(ficrespow);	fprintf(ficrespow,"\n");fflush(ficrespow);
if(*iter <=3){	if(*iter <=3){
tm = *localtime(&curr_time.tv_sec);	tml = *localtime(&rcurr_time);
strcpy(strcurr,asctime(&tm));	strcpy(strcurr,asctime(&tml));
/* asctime_r(&tm,strcurr); */	/* asctime_r(&tm,strcurr); */
forecast_time=curr_time;	rforecast_time=rcurr_time;
itmp = strlen(strcurr);	itmp = strlen(strcurr);
if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */	if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */
strcurr[itmp-1]='\0';	strcurr[itmp-1]='\0';
printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);	printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);	fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
for(niterf=10;niterf<=30;niterf+=10){	for(niterf=10;niterf<=30;niterf+=10){
forecast_time.tv_sec=curr_time.tv_sec+(niterf-iter)(curr_time.tv_sec-last_time.tv_sec);	rforecast_time=rcurr_time+(niterf-iter)(rcurr_time-rlast_time);
tmf = *localtime(&forecast_time.tv_sec);	forecast_time = *localtime(&rforecast_time);
/* asctime_r(&tmf,strfor); */	/* asctime_r(&tmf,strfor); */
strcpy(strfor,asctime(&tmf));	strcpy(strfor,asctime(&forecast_time));
itmp = strlen(strfor);	itmp = strlen(strfor);
if(strfor[itmp-1]=='\n')	if(strfor[itmp-1]=='\n')
strfor[itmp-1]='\0';	strfor[itmp-1]='\0';
printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);	printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);	fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
}	}
}	}
for (i=1;i<=n;i++) {	for (i=1;i<=n;i++) {
Line 1271 double prevalim(double prlim, int nl	Line 1405 double prevalim(double prlim, int nl

int i, ii,j,k;	int i, ii,j,k;
double min, max, maxmin, maxmax,sumnew=0.;	double min, max, maxmin, maxmax,sumnew=0.;
double **matprod2();	/* double *matprod2(); / /* test */
double out, cov[NCOVMAX+1], pmij();	double out, cov[NCOVMAX+1], pmij();
double **newm;	double **newm;
double agefin, delaymax=50 ; /* Max number of years to converge */	double agefin, delaymax=50 ; /* Max number of years to converge */
Line 1291 double prevalim(double prlim, int nl	Line 1425 double prevalim(double prlim, int nl

for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
/* printf("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/	/printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtab[%d][Tvar[%d]]=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], ij, k, codtab[ij][Tvar[k]]);/
}	}
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]]=cov[2+Tage[k]]cov[2]; /
for (k=1; k<=cptcovprod;k++)	/* for (k=1; k<=cptcovprod;k++) /\* Useless \/ /
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]] * nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	/* cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]] * nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; */

/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/	/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 cov[4]=%lf \n",ij, cov[3],cov[4]);/
/printf("ij=%d cov[3]=%lf \n",ij, cov[3]);/	/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 \/ /
out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */	out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */

savm=oldm;	savm=oldm;
Line 1312 double prevalim(double prlim, int nl	Line 1448 double prevalim(double prlim, int nl
sumnew=0;	sumnew=0;
for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];	for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
prlim[i][j]= newm[i][j]/(1-sumnew);	prlim[i][j]= newm[i][j]/(1-sumnew);
	/printf(" prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d \n", i, j, i, j, prlim[i][j],(int)agefin);/
max=FMAX(max,prlim[i][j]);	max=FMAX(max,prlim[i][j]);
min=FMIN(min,prlim[i][j]);	min=FMIN(min,prlim[i][j]);
}	}
Line 1392 double pmij(double ps, double *cov,	Line 1529 double pmij(double ps, double *cov,
}	}
}	}


/* for(ii=1; ii<= nlstate+ndeath; ii++){ */	/* for(ii=1; ii<= nlstate+ndeath; ii++){ */
/* for(jj=1; jj<= nlstate+ndeath; jj++){ */	/* for(jj=1; jj<= nlstate+ndeath; jj++){ */
/* printf("ddd %lf ",ps[ii][jj]); */	/* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */
/* } */	/* } */
/* printf("\n "); */	/* printf("\n "); */
/* } */	/* } */
/* printf("\n ");printf("%lf ",cov[2]); */	/* printf("\n ");printf("%lf ",cov[2]);*/
/*	/*
for(i=1; i<= npar; i++) printf("%f ",x[i]);	for(i=1; i<= npar; i++) printf("%f ",x[i]);
goto end;*/	goto end;*/
return ps;	return ps;
Line 1408 double pmij(double ps, double *cov,	Line 1545 double pmij(double ps, double *cov,

/************** Product of 2 matrices ****************/	/************** Product of 2 matrices ****************/

double matprod2(double out, double in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double b)	double matprod2(double out, double in,int nrl, int nrh, int ncl, int nch, int ncolol, int ncoloh, double b)
{	{
/* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times	/* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */	b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
/* in, b, out are matrice of pointers which should have been initialized	/* in, b, out are matrice of pointers which should have been initialized
before: only the contents of out is modified. The function returns	before: only the contents of out is modified. The function returns
a pointer to pointers identical to out */	a pointer to pointers identical to out */
long i, j, k;	int i, j, k;
for(i=nrl; i<= nrh; i++)	for(i=nrl; i<= nrh; i++)
for(k=ncolol; k<=ncoloh; k++)	for(k=ncolol; k<=ncoloh; k++){
for(j=ncl,out[i][k]=0.; j<=nch; j++)	out[i][k]=0.;
out[i][k] +=in[i][j]*b[j][k];	for(j=ncl; j<=nch; j++)
	out[i][k] +=in[i][j]*b[j][k];
	}
return out;	return out;
}	}

Line 1462 double *hpxij(double *po, int nhstep	Line 1600 double *hpxij(double *po, int nhstep
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
for (k=1; k<=cptcovage;k++)	for (k=1; k<=cptcovage;k++)
cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];	cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
for (k=1; k<=cptcovprod;k++)	for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];


Line 1513 double func( double *x)	Line 1651 double func( double *x)
Then computes with function pmij which return a matrix p[i][j] giving the elementary probability	Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
to be observed in j being in i according to the model.	to be observed in j being in i according to the model.
*/	*/
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */
	cov[2+k]=covar[Tvar[k]][i];
	}
/* In model V2+V1V4+ageV3+V3V2 Tvar[1] is V2, Tvar[2=V1V4]	/* In model V2+V1V4+ageV3+V3V2 Tvar[1] is V2, Tvar[2=V1V4]
is 6, Tvar[3=ageV3] should not be computed because of age Tvar[4=V3V2]	is 6, Tvar[3=ageV3] should not be computed because of age Tvar[4=V3V2]
has been calculated etc */	has been calculated etc */
Line 1781 double funcone( double *x)	Line 1921 double funcone( double *x)
for (kk=1; kk<=cptcovage;kk++) {	for (kk=1; kk<=cptcovage;kk++) {
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];	cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
}	}
	/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));	1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
	/* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */
	/* 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */
savm=oldm;	savm=oldm;
oldm=newm;	oldm=newm;
} /* end mult */	} /* end mult */
Line 2028 double hessii(double x[], double delta,	Line 2171 double hessii(double x[], double delta,

fx=func(x);	fx=func(x);
for (i=1;i<=npar;i++) p2[i]=x[i];	for (i=1;i<=npar;i++) p2[i]=x[i];
for(l=0 ; l <=lmax; l++){	for(l=0 ; l <=lmax; l++){ /* Enlarging the zone around the Maximum */
l1=pow(10,l);	l1=pow(10,l);
delts=delt;	delts=delt;
for(k=1 ; k <kmax; k=k+1){	for(k=1 ; k <kmax; k=k+1){
delt = delta(l1k);	delt = delta(l1k);
p2[theta]=x[theta] +delt;	p2[theta]=x[theta] +delt;
k1=func(p2)-fx;	k1=func(p2)-fx; /* Might be negative if too close to the theoretical maximum */
p2[theta]=x[theta]-delt;	p2[theta]=x[theta]-delt;
k2=func(p2)-fx;	k2=func(p2)-fx;
/res= (k1-2.0fx+k2)/delt/delt; */	/res= (k1-2.0fx+k2)/delt/delt; */
Line 2203 void freqsummary(char fileres[], int ia	Line 2346 void freqsummary(char fileres[], int ia

first=1;	first=1;

for(k1=1; k1<=j;k1++){	/* for(k1=1; k1<=j ; k1++){ /* Loop on covariates */
for(i1=1; i1<=ncodemax[k1];i1++){	/* for(i1=1; i1<=ncodemax[k1];i1++){ /* Now it is 2 */
j1++;	/* j1++;
	*/
	for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);	/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
scanf("%d", i);*/	scanf("%d", i);*/
for (i=-5; i<=nlstate+ndeath; i++)	for (i=-5; i<=nlstate+ndeath; i++)
for (jk=-5; jk<=nlstate+ndeath; jk++)	for (jk=-5; jk<=nlstate+ndeath; jk++)
for(m=iagemin; m <= iagemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
freq[i][jk][m]=0;	freq[i][jk][m]=0;

for (i=1; i<=nlstate; i++)	for (i=1; i<=nlstate; i++)
for(m=iagemin; m <= iagemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
prop[i][m]=0;	prop[i][m]=0;

dateintsum=0;	dateintsum=0;
k2cpt=0;	k2cpt=0;
for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
bool=1;	bool=1;
if (cptcovn>0) {	if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]){
bool=0;	/* 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, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n",
	bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1],
	j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);*/
	/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/
	}
}	}

if (bool==1){	if (bool==1){
for(m=firstpass; m<=lastpass; m++){	for(m=firstpass; m<=lastpass; m++){
k2=anint[m][i]+(mint[m][i]/12.);	k2=anint[m][i]+(mint[m][i]/12.);
Line 2245 void freqsummary(char fileres[], int ia	Line 2397 void freqsummary(char fileres[], int ia
/}/	/}/
}	}
}	}
}	} /* end i */

/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/	/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
pstamp(ficresp);	pstamp(ficresp);
Line 2253 void freqsummary(char fileres[], int ia	Line 2405 void freqsummary(char fileres[], int ia
fprintf(ficresp, "\n#********** Variable ");	fprintf(ficresp, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficresp, "**********\n#");	fprintf(ficresp, "**********\n#");
	fprintf(ficlog, "\n#********** Variable ");
	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
	fprintf(ficlog, "**********\n#");
}	}
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);	fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
Line 2329 void freqsummary(char fileres[], int ia	Line 2484 void freqsummary(char fileres[], int ia
printf("Others in log...\n");	printf("Others in log...\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
}	}
}	/}/
}	}
dateintmean=dateintsum/k2cpt;	dateintmean=dateintsum/k2cpt;

Line 2354 void prevalence(double ***probs, double	Line 2509 void prevalence(double ***probs, double
double pos,posprop;	double pos,posprop;
double y2; /* in fractional years */	double y2; /* in fractional years */
int iagemin, iagemax;	int iagemin, iagemax;
	int first; /** to stop verbosity which is redirected to log file */

iagemin= (int) agemin;	iagemin= (int) agemin;
iagemax= (int) agemax;	iagemax= (int) agemax;
Line 2362 void prevalence(double ***probs, double	Line 2518 void prevalence(double ***probs, double
/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/	/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
j1=0;	j1=0;

j=cptcoveff;	/j=cptcoveff;/
if (cptcovn<1) {j=1;ncodemax[1]=1;}	if (cptcovn<1) {j=1;ncodemax[1]=1;}

for(k1=1; k1<=j;k1++){	first=1;
for(i1=1; i1<=ncodemax[k1];i1++){	for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){
j1++;	/*for(i1=1; i1<=ncodemax[k1];i1++){
	j1++;*/

for (i=1; i<=nlstate; i++)	for (i=1; i<=nlstate; i++)
for(m=iagemin; m <= iagemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
Line 2397 void prevalence(double ***probs, double	Line 2554 void prevalence(double ***probs, double
}	}
}	}
for(i=iagemin; i <= iagemax+3; i++){	for(i=iagemin; i <= iagemax+3; i++){

for(jk=1,posprop=0; jk <=nlstate ; jk++) {	for(jk=1,posprop=0; jk <=nlstate ; jk++) {
posprop += prop[jk][i];	posprop += prop[jk][i];
}	}

for(jk=1; jk <=nlstate ; jk++){	for(jk=1; jk <=nlstate ; jk++){
if( i <= iagemax){	if( i <= iagemax){
if(posprop>=1.e-5){	if(posprop>=1.e-5){
probs[i][jk][j1]= prop[jk][i]/posprop;	probs[i][jk][j1]= prop[jk][i]/posprop;
} else	} else{
printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\n",jk,i,j1,probs[i][jk][j1]);	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]);
	}
	}
}	}
}/* end jk */	}/* end jk */
}/* end i */	}/* end i */
} /* end i1 */	/} //* end i1 */
} /* end k1 */	} /* end j1 */

/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/	/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
/free_vector(pp,1,nlstate);/	/free_vector(pp,1,nlstate);/
Line 2562 void concatwav(int wav[], int **dh, int	Line 2722 void concatwav(int wav[], int **dh, int
}	}

/********* Tricode **************************/	/********* Tricode **************************/
void tricode(int Tvar, int *nbcode, int imx)	void tricode(int Tvar, int nbcode, int imx, int Ndum)
{	{
/* Uses cptcovn+2cptcovprod as the number of covariates /	/*< Uses cptcovn+2cptcovprod 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 */	/* 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+V3age+V2V4 is 2 (V2)
	/* nbcode[Tvar[j]][1]=
	*/

int Ndum[20],ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;	int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
int modmaxcovj=0; /* Modality max of covariates j */	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;

for (k=0; k<maxncov; k++) Ndum[k]=0;	for (k=-1; k < maxncov; k++) Ndum[k]=0;
for (k=1; k<=7; k++) ncodemax[k]=0; /* Horrible constant again */	for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */

for (j=1; j<=(cptcovn+2cptcovprod); j++) { / For each covariate j */	/* Loop on covariates without age and products */
for (i=1; i<=imx; i++) { /*reads the data file to get the maximum value of the	for (j=1; j<=(cptcovs); j++) { /* model V1 + V2age+ V3 + V3V4 : V1 + V3 = 2 only */
	for (i=1; i<=imx; i++) { /* Lopp on individuals: reads the data file to get the maximum value of the
modality of this covariate Vj*/	modality of this covariate Vj*/
ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Finds for covariate j, n=Tvar[j] of Vn . ij is the	ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
	* If product of VnVm, 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. */	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/	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);/	/printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);/
if (ij > modmaxcovj) modmaxcovj=ij;
/* getting the maximum value of the modality of the covariate	/* 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	(should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and
female is 1, then modmaxcovj=1.*/	female is 1, then modmaxcovj=1.*/
}	}
	printf(" 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. */	/* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
for (i=0; i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1// For each modality of model-cov j */	/for (i=0; i<=cptcode; i++) {/
if( Ndum[i] != 0 )	for (i=modmincovj; i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1// For each value of the modality of model-cov j */
ncodemax[j]++;	printf("Frequencies of covariates %d V%d %d\n", j, Tvar[j], Ndum[i]);
/* Number of modalities of the j th covariate. In fact	if( Ndum[i] != 0 ){ /* Counts if nobody answered, empty modality */
ncodemax[j]=2 (dichotom. variables only) but it could be more for	ncodemax[j]++; /* ncodemax[j]= Number of non-null modalities of the j th covariate. */
historical reasons */	}
	/* 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 */	} /* Ndum[-1] number of undefined modalities */

/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */	/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
ij=1;	/* For covariate j, modalities could be 1, 2, 3, 4. If Ndum[2]=0 ncodemax[j] is not 4 but 3 */
for (i=1; i<=ncodemax[j]; i++) { /* i= 1 to 2 for dichotomous */	/* If Ndum[3}= 635; Ndum[4]=0; Ndum[5]=0; Ndum[6]=27; Ndum[7]=125;
for (k=0; k<= modmaxcovj; k++) { /* k=-1 ? NCOVMAX// maxncov or modmaxcovj */	modmincovj=3; modmaxcovj = 7;
	There are only 3 modalities non empty (or 2 if 27 is too few) : ncodemax[j]=3;
	which will be coded 0, 1, 2 which in binary on 3-1 digits are 0=00 1=01, 2=10; defining two dummy
	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;
	*/
	ij=1; /* ij is similar to i but can jumps over null modalities */
	for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 */
	for (k=0; k<= cptcode; k++) { /* k=-1 ? k=0 to 1 // Could be 1 to 4 */
	/recode from 0 /
if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */	if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */
nbcode[Tvar[j]][ij]=k; /* stores the modality in an array nbcode.	nbcode[Tvar[j]][ij]=k; /* stores the modality in an array nbcode.
k is a modality. If we have model=V1+V1*sex	k is a modality. If we have model=V1+V1*sex
Line 2610 void tricode(int Tvar, int *nbcode, in	Line 2807 void tricode(int Tvar, int *nbcode, in
} /* end of loop on modality */	} /* end of loop on modality */
} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/	} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/

for (k=0; k< maxncov; k++) Ndum[k]=0;	for (k=-1; k< maxncov; k++) Ndum[k]=0;

for (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */	for (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */
/* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1V2./	/* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1V2./
ij=Tvar[i]; /* Tvar might be -1 if status was unknown */	ij=Tvar[i]; /* Tvar might be -1 if status was unknown */
Ndum[ij]++;	Ndum[ij]++;
}	}

ij=1;	ij=1;
for (i=1; i<= maxncov; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(ageV3), 5(V3V2) 6(V1V4) /	for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(ageV3), 5(V3V2) 6(V1V4) /
	/printf("Ndum[%d]=%d\n",i, Ndum[i]);/
if((Ndum[i]!=0) && (i<=ncovcol)){	if((Ndum[i]!=0) && (i<=ncovcol)){
Tvaraff[ij]=i; /For printing /	/printf("diff Ndum[%d]=%d\n",i, Ndum[i]);/
	Tvaraff[ij]=i; /For printing (unclear) /
ij++;	ij++;
}	}else
	Tvaraff[ij]=0;
}	}
ij--;	ij--;
cptcoveff=ij; /Number of simple covariates/	cptcoveff=ij; /Number of total covariates/

}	}


/********* Health Expectancies **************/	/********* 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[] )
Line 3224 void varevsij(char optionfilefiname[], d	Line 3426 void varevsij(char optionfilefiname[], d
free_vector(gmp,nlstate+1,nlstate+ndeath);	free_vector(gmp,nlstate+1,nlstate+ndeath);
free_matrix(gradgp,1,npar,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*/	free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
fprintf(ficgp,"\nunset parametric;unset label; set ter png small;set size 0.65, 0.65");	fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240");
/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */	/* 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,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
/* fprintf(ficgp,"\n plot \"%s\" u 1:($3%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); /	/* 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) 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 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 2 ",subdirf(fileresprobmorprev));	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 3 ",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 3 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));	fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);	fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
/* fprintf(fichtm,"\n<br> 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 <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);	/* fprintf(fichtm,"\n<br> 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 <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);
Line 3342 void varprob(char optionfilefiname[], do	Line 3544 void varprob(char optionfilefiname[], do
int i, j=0, i1, k1, l1, t, tj;	int i, j=0, i1, k1, l1, t, tj;
int k2, l2, j1, z1;	int k2, l2, j1, z1;
int k=0,l, cptcode;	int k=0,l, cptcode;
int first=1, first1;	int first=1, first1, first2;
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;	double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
double dnewm,doldm;	double dnewm,doldm;
double *xp;	double *xp;
double gp, gm;	double gp, gm;
double gradg, trgradg;	double gradg, trgradg;
double **mu;	double **mu;
double age,agelim, cov[NCOVMAX];	double age,agelim, cov[NCOVMAX+1];
double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */	double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
int theta;	int theta;
char fileresprob[FILENAMELENGTH];	char fileresprob[FILENAMELENGTH];
char fileresprobcov[FILENAMELENGTH];	char fileresprobcov[FILENAMELENGTH];
char fileresprobcor[FILENAMELENGTH];	char fileresprobcor[FILENAMELENGTH];

double ***varpij;	double ***varpij;

strcpy(fileresprob,"prob");	strcpy(fileresprob,"prob");
Line 3428 standard deviations wide on each axis. <	Line 3629 standard deviations wide on each axis. <
To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");	To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");

cov[1]=1;	cov[1]=1;
tj=cptcoveff;	/* tj=cptcoveff; */
	tj = (int) pow(2,cptcoveff);
if (cptcovn<1) {tj=1;ncodemax[1]=1;}	if (cptcovn<1) {tj=1;ncodemax[1]=1;}
j1=0;	j1=0;
for(t=1; t<=tj;t++){	for(j1=1; j1<=tj;j1++){
for(i1=1; i1<=ncodemax[t];i1++){	/for(i1=1; i1<=ncodemax[t];i1++){ /
j1++;	/j1++;/
if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresprob, "\n#********** Variable ");	fprintf(ficresprob, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
Line 3456 To be simple, these graphs help to under	Line 3658 To be simple, these graphs help to under
fprintf(ficresprobcor, "**********\n#");	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 ++){	for (age=bage; age<=fage; age ++){
cov[2]=age;	cov[2]=age;
for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];	cov[2+k]=nbcode[Tvar[k]][codtab[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]]=cov[2+Tage[k]]*cov[2];
for (k=1; k<=cptcovprod;k++)	for (k=1; k<=cptcovprod;k++)
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];

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(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++)	for(i=1; i<=npar; i++)
Line 3506 To be simple, these graphs help to under	Line 3713 To be simple, these graphs help to under

matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov);	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);	matprod2(doldm,dnewm,1,(nlstate)(nlstate+ndeath),1,npar,1,(nlstate)(nlstate+ndeath),gradg);
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);

pmij(pmmij,cov,ncovmodel,x,nlstate);	pmij(pmmij,cov,ncovmodel,x,nlstate);

Line 3543 To be simple, these graphs help to under	Line 3746 To be simple, these graphs help to under
i=0;	i=0;
for (k=1; k<=(nlstate);k++){	for (k=1; k<=(nlstate);k++){
for (l=1; l<=(nlstate+ndeath);l++){	for (l=1; l<=(nlstate+ndeath);l++){
i=i++;	i++;
fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);	fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);	fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
for (j=1; j<=i;j++){	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(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]));	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 state */
} /* end of loop for age */	} /* 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 */	/* Confidence intervalle of pij */
/*	/*
fprintf(ficgp,"\nunset parametric;unset label");	fprintf(ficgp,"\nunset parametric;unset label");
Line 3566 To be simple, these graphs help to under	Line 3774 To be simple, these graphs help to under
*/	*/

/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/	/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
first1=1;	first1=1;first2=2;
for (k2=1; k2<=(nlstate);k2++){	for (k2=1; k2<=(nlstate);k2++){
for (l2=1; l2<=(nlstate+ndeath);l2++){	for (l2=1; l2<=(nlstate+ndeath);l2++){
if(l2==k2) continue;	if(l2==k2) continue;
Line 3588 To be simple, these graphs help to under	Line 3796 To be simple, these graphs help to under
lc1=((v1+v2)+sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;	lc1=((v1+v2)+sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
lc2=((v1+v2)-sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;	lc2=((v1+v2)-sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
if ((lc2 <0) \|\| (lc1 <0) ){	if ((lc2 <0) \|\| (lc1 <0) ){
printf("Error: 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. Continuing by making them positive: WRONG RESULTS.\n", lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);	if(first2==1){
fprintf(ficlog,"Error: 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", lc1, lc2, v1, v2, cv12);fflush(ficlog);	first1=0;
lc1=fabs(lc1);	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);
lc2=fabs(lc2);	}
	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 */	/* Eigen vectors */
Line 3613 To be simple, these graphs help to under	Line 3824 To be simple, these graphs help to under
first=0;	first=0;
fprintf(ficgp,"\nset parametric;unset label");	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 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 png small\nset size 0.65,0.65");	fprintf(ficgp,"\nset ter png small size 320, 240");
fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\	fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
:<a href=\"%s%d%1d%1d-%1d%1d.png\">\	:<a href=\"%s%d%1d%1d-%1d%1d.png\">\
%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\	%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\
Line 3644 To be simple, these graphs help to under	Line 3855 To be simple, these graphs help to under
} /* k12 */	} /* k12 */
} /l1 /	} /l1 /
}/* k1 */	}/* k1 */
} /* loop covariates */	/* } /* loop covariates */
}	}
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);	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(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
Line 3690 void printinghtml(char fileres[], char t	Line 3901 void printinghtml(char fileres[], char t

fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");	fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");

m=cptcoveff;	m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}	if (cptcovn < 1) {m=1;ncodemax[1]=1;}

jj1=0;	jj1=0;
Line 3704 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 3915 fprintf(fichtm," \n<ul><li><b>Graphs</b>
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
/* Pij */	/* Pij */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d1.png\">%s%d1.png</a><br> \	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d_1.png\">%s%d_1.png</a><br> \
<img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s%d_1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
/* Quasi-incidences */	/* Quasi-incidences */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d2.png\">%s%d2.png</a><br> \	before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d_2.png\">%s%d_2.png</a><br> \
<img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s%d_2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
/* Period (stable) prevalence in each health state */	/* Period (stable) prevalence in each health state */
for(cpt=1; cpt<nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d%d.png\">%s%d%d.png</a><br> \	fprintf(fichtm,"<br>- Convergence from each state (1 to %d) to period (stable) prevalence in state %d <a href=\"%s%d_%d.png\">%s%d_%d.png</a><br> \
<img src=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);	<img src=\"%s%d_%d.png\">",nlstate, cpt, subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \	fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \
<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);	<img src=\"%s%d%d.png\">",cpt,nlstate,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
}	}
} /* end i1 */	} /* end i1 */
}/* End k1 */	}/* End k1 */
Line 3764 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 3975 fprintf(fichtm," \n<ul><li><b>Graphs</b>
fflush(fichtm);	fflush(fichtm);
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");	fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");

m=cptcoveff;	m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}	if (cptcovn < 1) {m=1;ncodemax[1]=1;}

jj1=0;	jj1=0;
Line 3779 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 3990 fprintf(fichtm," \n<ul><li><b>Graphs</b>
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \	fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br>\	prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.png <br>\
<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);	<img src=\"%s%d_%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);
}	}
fprintf(fichtm,"\n<br>- Total life expectancy by age and \	fprintf(fichtm,"\n<br>- Total life expectancy by age and \
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \	health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
Line 3813 void printinggnuplot(char fileres[], cha	Line 4024 void printinggnuplot(char fileres[], cha
strcpy(dirfileres,optionfilefiname);	strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
/* 1eme*/	/* 1eme*/
	fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'vpl' files\n");
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);
fprintf(ficgp,"\n#set out \"v%s%d%d.png\" \n",optionfilefiname,cpt,k1);	fprintf(ficgp,"\n#set out \"v%s%d_%d.png\" \n",optionfilefiname,cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \n\	fprintf(ficgp,"set xlabel \"Age\" \n\
set ylabel \"Probability\" \n\	set ylabel \"Probability\" \n\
set ter png small\n\	set ter png small size 320, 240\n\
set size 0.65,0.65\n\
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);

for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 1,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"95\%% CI\" w l lt 2,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"95\%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l lt 2,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 3",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));	fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
}	}
}	}
/2 eme/	/2 eme/
	fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n");
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);	fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);
fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);	fprintf(ficgp,"set ylabel \"Years\" \nset ter png small size 320, 240\nplot [%.f:%.f] ",ageminpar,fage);

for (i=1; i<= nlstate+1 ; i ++) {	for (i=1; i<= nlstate+1 ; i ++) {
k=2*i;	k=2*i;
Line 3860 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4071 plot [%.f:%.f] \"%s\" every :::%d::%d u
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l lt 1,");	fprintf(ficgp,"\" t\"\" w l lt 0,");
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
for (j=1; j<= nlstate+1 ; j ++) {	for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 1");	if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
else fprintf(ficgp,"\" t\"\" w l lt 1,");	else fprintf(ficgp,"\" t\"\" w l lt 0,");
}	}
}	}

Line 3878 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4089 plot [%.f:%.f] \"%s\" every :::%d::%d u
/* k=2+nlstate(2cpt-2); */	/* k=2+nlstate(2cpt-2); */
k=2+(nlstate+1)*(cpt-1);	k=2+(nlstate+1)*(cpt-1);
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
fprintf(ficgp,"set ter png small\n\	fprintf(ficgp,"set ter png small size 320, 240\n\
set size 0.65,0.65\n\
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);
/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);	/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");	for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
Line 3899 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4109 plot [%.f:%.f] \"%s\" every :::%d::%d u
}	}

/* CV preval stable (period) */	/* CV preval stable (period) */
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */
for (cpt=1; cpt<=nlstate ; cpt ++) {	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
k=3;	k=3;
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);	fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt);
	fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\	fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
set ter png small\nset size 0.65,0.65\n\	set ter png small size 320, 240\n\
unset log y\n\	unset log y\n\
plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,subdirf2(fileres,"pij"),k1,k+cpt+1,k+1);	plot [%.f:%.f] ", ageminpar, agemaxpar);
	for (i=1; i<= nlstate ; i ++){
for (i=1; i< nlstate ; i ++)	if(i==1)
fprintf(ficgp,"+$%d",k+i+1);	fprintf(ficgp,"\"%s\"",subdirf2(fileres,"pij"));
fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);	else
	fprintf(ficgp,", '' ");
l=3+(nlstate+ndeath)*cpt;	l=(nlstate+ndeath)*(i-1)+1;
fprintf(ficgp,",\"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",subdirf2(fileres,"pij"),k1,l+cpt+1,l+1);	fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
for (i=1; i< nlstate ; i ++) {	for (j=1; j<= (nlstate-1) ; j ++)
l=3+(nlstate+ndeath)*cpt;	fprintf(ficgp,"+$%d",k+l+j);
fprintf(ficgp,"+$%d",l+i+1);	fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
}	} /* nlstate */
fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);	fprintf(ficgp,"\n");
}	} /* end cpt state*/
}	} /* end covariate */

/* proba elementaires */	/* proba elementaires */
for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
Line 3934 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4145 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
}	}
}	}
}	}
	/goto avoid;/
for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/	for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
for(jk=1; jk <=m; jk++) {	for(jk=1; jk <=m; jk++) {
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng);	fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng);
if (ng==2)	if (ng==2)
fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");	fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
else	else
fprintf(ficgp,"\nset title \"Probability\"\n");	fprintf(ficgp,"\nset title \"Probability\"\n");
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);	fprintf(ficgp,"\nset ter png small size 320, 240\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);
i=1;	i=1;
for(k2=1; k2<=nlstate; k2++) {	for(k2=1; k2<=nlstate; k2++) {
k3=i;	k3=i;
Line 3954 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4165 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
fprintf(ficgp," exp(p%d+p%d*x",i,i+1);	fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
ij=1;/* To be checked else nbcode[0][0] wrong */	ij=1;/* To be checked else nbcode[0][0] wrong */
for(j=3; j <=ncovmodel; j++) {	for(j=3; j <=ncovmodel; j++) {
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /* Bug valgrind */	/* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /\* Bug valgrind \/ /
fprintf(ficgp,"+p%d%dx",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	/* /\fprintf(ficgp,"+p%d%dx",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);\/ */
ij++;	/* ij++; */
}	/* } */
else	/* else */
fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
}	}
fprintf(ficgp,")/(1");	fprintf(ficgp,")/(1");
Line 3967 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4178 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);	fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);
ij=1;	ij=1;
for(j=3; j <=ncovmodel; j++){	for(j=3; j <=ncovmodel; j++){
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {	/* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { */
fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	/* fprintf(ficgp,"+p%d%dx",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); /
ij++;	/* ij++; */
}	/* } */
else	/* else */
fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
}	}
fprintf(ficgp,")");	fprintf(ficgp,")");
Line 3984 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4195 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
} /* end k2 */	} /* end k2 */
} /* end jk */	} /* end jk */
} /* end ng */	} /* end ng */
	avoid:
fflush(ficgp);	fflush(ficgp);
} /* end gnuplot */	} /* end gnuplot */

Line 4567 void printinggnuplotmort(char fileres[],	Line 4779 void printinggnuplotmort(char fileres[],
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
fprintf(ficgp,"set out \"graphmort.png\"\n ");	fprintf(ficgp,"set out \"graphmort.png\"\n ");
fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");	fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");
fprintf(ficgp, "set ter png small\n set log y\n");	fprintf(ficgp, "set ter png small size 320, 240\n set log y\n");
fprintf(ficgp, "set size 0.65,0.65\n");	/* fprintf(ficgp, "set size 0.65,0.65\n"); */
fprintf(ficgp,"plot [%d:100] %lfexp(%lf(x-%d))",agegomp,p[1],p[2],agegomp);	fprintf(ficgp,"plot [%d:100] %lfexp(%lf(x-%d))",agegomp,p[1],p[2],agegomp);

}	}
Line 4635 int readdata(char datafile[], int firsto	Line 4847 int readdata(char datafile[], int firsto
cutv(stra, strb,line,' ');	cutv(stra, strb,line,' ');
if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){	if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
}	}
else if(iout=sscanf(strb,"%s.") != 0){	else if(iout=sscanf(strb,"%s.",dummy) != 0){
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
Line 4666 int readdata(char datafile[], int firsto	Line 4878 int readdata(char datafile[], int firsto
cutv(stra, strb,line,' ');	cutv(stra, strb,line,' ');
if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){	if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
}	}
else if(iout=sscanf(strb,"%s.") != 0){	else if(iout=sscanf(strb,"%s.", dummy) != 0){
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
Line 4759 int readdata(char datafile[], int firsto	Line 4971 int readdata(char datafile[], int firsto


}	}
	void removespace(char *str) {
int decodemodel ( char model[], int lastobs)	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+V7V8+V5V6+V8age+V3age
	* - cptcovt total number of covariates of the model nbocc(+)+1 = 8
	* - cptcovn or number of covariates k of the models excluding age*products =6
	* - 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 V7V8 is 5, and second V5V6 is 6.
	* - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7V8 and V5V6 .
	*/
{	{
int i, j, k;	int i, j, k, ks;
int i1, j1, k1, k2;	int i1, j1, k1, k2;
char modelsav[80];	char modelsav[80];
char stra[80], strb[80], strc[80], strd[80],stre[80];	char stra[80], strb[80], strc[80], strd[80],stre[80];

	/removespace(model);/
if (strlen(model) >1){ /* If there is at least 1 covariate */	if (strlen(model) >1){ /* If there is at least 1 covariate */
j=0, j1=0, k1=1, k2=1;	j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0;
j=nbocc(model,'+'); /* j=Number of '+' */	j=nbocc(model,'+'); /*< j=Number of '+' /
j1=nbocc(model,''); / j1=Number of '' /	j1=nbocc(model,''); /< j1=Number of '' */
cptcovn=j+1; /* Number of covariates V1+V2*age+V3 =>(2 plus signs) + 1=3	cptcovs=j+1-j1; /*< Number of simple covariates V1+V2age+V3 +V3V4=> V1 + V3 =2 /
but the covariates which are product must be computed and stored. */	cptcovt= j+1; /* Number of total covariates in the model V1 + V2age+ V3 + V3V4=> 4*/
cptcovprod=j1; /Number of products V1V2 +v3age = 2 /	/* 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 V1V2 +v3age = 2 /
	cptcovprodnoage=0; /*< Number of covariate products without age: V3V4 =1 */
strcpy(modelsav,model);	strcpy(modelsav,model);
if (strstr(model,"AGE") !=0){	if (strstr(model,"AGE") !=0){
printf("Error. AGE must be in lower case 'age' model=%s ",model);	printf("Error. AGE must be in lower case 'age' model=%s ",model);
Line 4787 int decodemodel ( char model[], int last	Line 5021 int decodemodel ( char model[], int last
return 1;	return 1;
}	}

	/* Design
	* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight
	* < ncovcol=8 >
	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8
	* 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
	* if multiplied by age: V3age Tvar[3=V3age]=3 (V3) Tvar[7]=8 and
	* Tage[++cptcovage]=k
	* if products, new covar are created after ncovcol with k1
	* Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11
	* Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product
	* Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8
	* Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2];
	* Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted
	* V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11
	* < ncovcol=8 >
	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8 d1 d1 d2 d2
	* k= 1 2 3 4 5 6 7 8 9 10 11 12
	* Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8
	* p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
	* p Tprod[1]@2={ 6, 5}
	*p Tvard[1][1]@4= {7, 8, 5, 6}
	* covar[k][i]= V2 V1 ? V3 V5V6? V7V8? ? V8
	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
	*How to reorganize?
	* Model V1 + V2 + V3 + V8 + V5V6 + V7V8 + V3age + V8age
	* Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
	* {2, 1, 4, 8, 5, 6, 3, 7}
	* Struct []
	*/

/* This loop fills the array Tvar from the string 'model'.*/	/* 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 */	/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */	/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */
Line 4799 int decodemodel ( char model[], int last	Line 5067 int decodemodel ( char model[], int last
/* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */	/* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */
/* } */	/* } */
/* 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]]=cov[2+Tage[k]]cov[2]; /
for(k=cptcovn; k>=1;k--){	/*
cutv(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'	* Treating invertedly V2+V1+V3age+V2V4 is as if written V2V4 +V3age + V1 + V2 */
modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4	for(k=cptcovt; k>=1;k--) /*< Number of covariates /
*/	Tvar[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 '+'
	modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4 */
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */	if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/	/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
/scanf("%d",i);/	/scanf("%d",i);/
if (strchr(strb,'')) { / Model includes a product V2+V1+V4+V3age strb=V3age */	if (strchr(strb,'')) { /< Model includes a product V2+V1+V4+V3age strb=V3age /
cutv(strd,strc,strb,''); / strdstrc VmVn: strb=V3age strc=age strd=V3 ; V3V2 strc=V2, strd=V3 */	cutl(strc,strd,strb,''); /< strdstrc VmVn: strb=V3age(input) strc=age strd=V3 ; V3V2 strc=V2, strd=V3 /
if (strcmp(strc,"age")==0) { /* Vnage /	if (strcmp(strc,"age")==0) { /*< Model includes age: Vnage */
	/* covar is not filled and then is empty */
cptcovprod--;	cptcovprod--;
cutv(strb,stre,strd,'V'); /* stre="V3" */	cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */
Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=2 ; V1+V2age Tvar[2]=2 */	Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=3 ; V1+V2age Tvar[2]=2 */
cptcovage++; /* Sums the number of covariates which include age as a product */	cptcovage++; /* Sums the number of covariates which include age as a product */
Tage[cptcovage]=k; /* Tage[1] = 4 */	Tage[cptcovage]=k; /* Tage[1] = 4 */
/printf("stre=%s ", stre);/	/printf("stre=%s ", stre);/
} else if (strcmp(strd,"age")==0) { /* or ageVn /	} else if (strcmp(strd,"age")==0) { /* or ageVn /
cptcovprod--;	cptcovprod--;
cutv(strb,stre,strc,'V');	cutl(stre,strb,strc,'V');
Tvar[k]=atoi(stre);	Tvar[k]=atoi(stre);
cptcovage++;	cptcovage++;
Tage[cptcovage]=k;	Tage[cptcovage]=k;
} else { /* Age is not in the model product V2+V1+V1V4+V3age+V3V2 strb=V3V2*/	} else { /* Age is not in the model product V2+V1+V1V4+V3age+V3V2 strb=V3V2*/
/* loops on k1=1 (V3V2) and k1=2 V4V3 */	/* loops on k1=1 (V3V2) and k1=2 V4V3 */
cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/	cptcovn++;
Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but	cptcovprodnoage++;k1++;
	cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 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	because this model-covariate is a construction we invent a new column
ncovcol + k1	ncovcol + k1
If already ncovcol=4 and model=V2+V1+V1V4+ageV3+V3*V2	If already ncovcol=4 and model=V2+V1+V1V4+ageV3+V3*V2
Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */	Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */
cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */	cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */
Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */	Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */
Tvard[k1][1]=atoi(strc); /* m 1 for V1*/	Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
Tvard[k1][2]=atoi(stre); /* n 4 for V4*/	Tvard[k1][2] =atoi(stre); /* n 4 for V4*/
Tvar[cptcovn+k2]=Tvard[k1][1]; /* Tvar[(cptcovn=4+k2=1)=5]= 1 (V1) */	k2=k2+2;
Tvar[cptcovn+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovn=4+(k2=1)+1)=6]= 4 (V4) */	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) */
for (i=1; i<=lastobs;i++){	for (i=1; i<=lastobs;i++){
/* Computes the new covariate which is a product of	/* Computes the new covariate which is a product of
covar[n][i]* covar[m][i] and stores it at ncovol+k1 */	covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];	covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
}	}
k1++;
k2=k2+2;
} /* End age is not in the model */	} /* End age is not in the model */
} /* End if model includes a product */	} /* End if model includes a product */
else { /* no more sum */	else { /* no more sum */
/printf("d=%s c=%s b=%s\n", strd,strc,strb);/	/printf("d=%s c=%s b=%s\n", strd,strc,strb);/
/* scanf("%d",i);*/	/* scanf("%d",i);*/
cutv(strd,strc,strb,'V');	cutl(strd,strc,strb,'V');
Tvar[k]=atoi(strc);	ks++; /*< Number of simple covariates /
	cptcovn++;
	Tvar[k]=atoi(strd);
}	}
strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */	strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);	/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
Line 4926 calandcheckages(int imx, int maxwav, dou	Line 5202 calandcheckages(int imx, int maxwav, dou
}	}
else if(agev[m][i] >*agemax){	else if(agev[m][i] >*agemax){
*agemax=agev[m][i];	*agemax=agev[m][i];
printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], *agemax);	/* printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], agemax);/
}	}
/agev[m][i]=anint[m][i]-annais[i];/	/agev[m][i]=anint[m][i]-annais[i];/
/* agev[m][i] = age[i]+2m;/	/* agev[m][i] = age[i]+2m;/
Line 5038 int main(int argc, char *argv[])	Line 5314 int main(int argc, char *argv[])
double kk1, kk2;	double kk1, kk2;
double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;	double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
double **ximort;	double **ximort;
char *alph[]={"a","a","b","c","d","e"}, str[4];	char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
int *dcwave;	int *dcwave;

char z[1]="c", occ;	char z[1]="c", occ;
Line 5055 int main(int argc, char *argv[])	Line 5331 int main(int argc, char *argv[])
/* setlocale (LC_MESSAGES, ""); */	/* setlocale (LC_MESSAGES, ""); */

/* gettimeofday(&start_time, (struct timezone)0); / /* at first time */	/* gettimeofday(&start_time, (struct timezone)0); / /* at first time */
(void) gettimeofday(&start_time,&tzp);	rstart_time = time(NULL);
	/* (void) gettimeofday(&start_time,&tzp);*/
	start_time = *localtime(&rstart_time);
curr_time=start_time;	curr_time=start_time;
tm = *localtime(&start_time.tv_sec);	/tml = localtime(&start_time.tm_sec);*/
tmg = *gmtime(&start_time.tv_sec);	/* strcpy(strstart,asctime(&tml)); */
strcpy(strstart,asctime(&tm));	strcpy(strstart,asctime(&start_time));

/* printf("Localtime (at start)=%s",strstart); */	/* printf("Localtime (at start)=%s",strstart); */
/* tp.tv_sec = tp.tv_sec +86400; */	/* tp.tm_sec = tp.tm_sec +86400; */
/* tm = localtime(&start_time.tv_sec); /	/* tm = localtime(&start_time.tm_sec); /
/* tmg.tm_year=tmg.tm_year +dsigndyear; /	/* tmg.tm_year=tmg.tm_year +dsigndyear; /
/* tmg.tm_mon=tmg.tm_mon +dsigndmonth; /	/* tmg.tm_mon=tmg.tm_mon +dsigndmonth; /
/* tmg.tm_hour=tmg.tm_hour + 1; */	/* tmg.tm_hour=tmg.tm_hour + 1; */
/* tp.tv_sec = mktime(&tmg); */	/* tp.tm_sec = mktime(&tmg); */
/* strt=asctime(&tmg); */	/* strt=asctime(&tmg); */
/* printf("Time(after) =%s",strstart); */	/* printf("Time(after) =%s",strstart); */
/* (void) time (&time_value);	/* (void) time (&time_value);
Line 5088 int main(int argc, char *argv[])	Line 5366 int main(int argc, char *argv[])
i=strlen(pathr);	i=strlen(pathr);
if(pathr[i-1]=='\n')	if(pathr[i-1]=='\n')
pathr[i-1]='\0';	pathr[i-1]='\0';
	i=strlen(pathr);
	if(pathr[i-1]==' ') /* This may happen when dragging on oS/X! */
	pathr[i-1]='\0';
for (tok = pathr; tok != NULL; ){	for (tok = pathr; tok != NULL; ){
printf("Pathr \|%s\|\n",pathr);	printf("Pathr \|%s\|\n",pathr);
while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');	while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');
Line 5143 int main(int argc, char *argv[])	Line 5424 int main(int argc, char *argv[])
path=%s \n\	path=%s \n\
optionfile=%s\n\	optionfile=%s\n\
optionfilext=%s\n\	optionfilext=%s\n\
optionfilefiname=%s\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);	optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);

printf("Local time (at start):%s",strstart);	printf("Local time (at start):%s",strstart);
fprintf(ficlog,"Local time (at start): %s",strstart);	fprintf(ficlog,"Local time (at start): %s",strstart);
fflush(ficlog);	fflush(ficlog);
/* (void) gettimeofday(&curr_time,&tzp); */	/* (void) gettimeofday(&curr_time,&tzp); */
/* printf("Elapsed time %d\n", asc_diff_time(curr_time.tv_sec-start_time.tv_sec,tmpout)); */	/* printf("Elapsed time %d\n", asc_diff_time(curr_time.tm_sec-start_time.tm_sec,tmpout)); */

/* */	/* */
strcpy(fileres,"r");	strcpy(fileres,"r");
Line 5159 int main(int argc, char *argv[])	Line 5440 int main(int argc, char *argv[])
/---------arguments file --------/	/---------arguments file --------/

if((ficpar=fopen(optionfile,"r"))==NULL) {	if((ficpar=fopen(optionfile,"r"))==NULL) {
printf("Problem with optionfile %s\n",optionfile);	printf("Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
fprintf(ficlog,"Problem with optionfile %s\n",optionfile);	fprintf(ficlog,"Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
fflush(ficlog);	fflush(ficlog);
goto end;	/* goto end; */
	exit(70);
}	}


Line 5206 int main(int argc, char *argv[])	Line 5488 int main(int argc, char *argv[])
ungetc(c,ficpar);	ungetc(c,ficpar);


covar=matrix(0,NCOVMAX,1,n);	covar=matrix(0,NCOVMAX,1,n); /*< used in readdata /
cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/	cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/
/* v1+v2+v3+v2v4+v5age makes cptcovn = 5	/* v1+v2+v3+v2v4+v5age makes cptcovn = 5
v1+v2age+v2v3 makes cptcovn = 3	v1+v2age+v2v3 makes cptcovn = 3
*/	*/
if (strlen(model)>1)	if (strlen(model)>1)
cptcovn=nbocc(model,'+')+1;	ncovmodel=2+nbocc(model,'+')+1; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7/
/* ncovprod */	else
ncovmodel=2+cptcovn; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7/	ncovmodel=2;
nvar=ncovmodel-1; /* Suppressing age as a basic covariate */	nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
nforce= (nlstate+ndeath-1)nlstate; / Number of forces ij from state i to j */	nforce= (nlstate+ndeath-1)nlstate; / Number of forces ij from state i to j */
npar= nforcencovmodel; / Number of parameters like aij*/	npar= nforcencovmodel; / Number of parameters like aij*/
Line 5246 int main(int argc, char *argv[])	Line 5528 int main(int argc, char *argv[])
matcov=matrix(1,npar,1,npar);	matcov=matrix(1,npar,1,npar);
}	}
else{	else{
/* Read guess parameters */	/* Read guessed parameters */
/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5295 run imach with mle=-1 to get a correct t	Line 5577 run imach with mle=-1 to get a correct t
}	}
fflush(ficlog);	fflush(ficlog);

	/* Reads scales values */
p=param[1][1];	p=param[1][1];

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
Line 5333 run imach with mle=-1 to get a correct t	Line 5616 run imach with mle=-1 to get a correct t
}	}
fflush(ficlog);	fflush(ficlog);

	/* Reads covariance matrix */
delti=delti3[1][1];	delti=delti3[1][1];


Line 5354 run imach with mle=-1 to get a correct t	Line 5638 run imach with mle=-1 to get a correct t
for(j=1; j <=npar; j++) matcov[i][j]=0.;	for(j=1; j <=npar; j++) matcov[i][j]=0.;

for(i=1; i <=npar; i++){	for(i=1; i <=npar; i++){
fscanf(ficpar,"%s",&str);	fscanf(ficpar,"%s",str);
if(mle==1)	if(mle==1)
printf("%s",str);	printf("%s",str);
fprintf(ficlog,"%s",str);	fprintf(ficlog,"%s",str);
Line 5411 run imach with mle=-1 to get a correct t	Line 5695 run imach with mle=-1 to get a correct t
anint=matrix(1,maxwav,1,n);	anint=matrix(1,maxwav,1,n);
s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */	s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */
tab=ivector(1,NCOVMAX);	tab=ivector(1,NCOVMAX);
ncodemax=ivector(1,8); /* hard coded ? */	ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /

/* Reads data from file datafile */	/* Reads data from file datafile */
if (readdata(datafile, firstobs, lastobs, &imx)==1)	if (readdata(datafile, firstobs, lastobs, &imx)==1)
Line 5434 run imach with mle=-1 to get a correct t	Line 5718 run imach with mle=-1 to get a correct t
ncovcol + k1	ncovcol + k1
If already ncovcol=4 and model=V2+V1+V1V4+ageV3	If already ncovcol=4 and model=V2+V1+V1V4+ageV3
Tvar[3=V1V4]=4+1 etc /	Tvar[3=V1V4]=4+1 etc /
Tprod=ivector(1,15); /* Gives the position of a product */	Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */
/* Tprod[k1=1]=3(=V1V4) for V2+V1+V1V4+age*V3	/* Tprod[k1=1]=3(=V1V4) for V2+V1+V1V4+age*V3
if V2+V1+V1V4+ageV3+V3V2 TProd[k1=2]=5 (V3V2)	if V2+V1+V1V4+ageV3+V3V2 TProd[k1=2]=5 (V3V2)
*/	*/
Tvaraff=ivector(1,15);	Tvaraff=ivector(1,NCOVMAX); /* Unclear */
Tvard=imatrix(1,15,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm	Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.	* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.
* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */	* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
Tage=ivector(1,15); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age	Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age
4 covariates (3 plus signs)	4 covariates (3 plus signs)
Tage[1=V3age]= 4; Tage[2=ageV4] = 3	Tage[1=V3age]= 4; Tage[2=ageV4] = 3
*/	*/
Line 5474 run imach with mle=-1 to get a correct t	Line 5758 run imach with mle=-1 to get a correct t
free_matrix(anint,1,maxwav,1,n);*/	free_matrix(anint,1,maxwav,1,n);*/
free_vector(moisdc,1,n);	free_vector(moisdc,1,n);
free_vector(andc,1,n);	free_vector(andc,1,n);
	/* */

wav=ivector(1,imx);	wav=ivector(1,imx);
dh=imatrix(1,lastpass-firstpass+1,1,imx);	dh=imatrix(1,lastpass-firstpass+1,1,imx);
bh=imatrix(1,lastpass-firstpass+1,1,imx);	bh=imatrix(1,lastpass-firstpass+1,1,imx);
Line 5483 run imach with mle=-1 to get a correct t	Line 5767 run imach with mle=-1 to get a correct t

/* Concatenates waves */	/* Concatenates waves */
concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);	concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);
	/* */

/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */	/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */

nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);	nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);
ncodemax[1]=1;	ncodemax[1]=1;
if (cptcovn > 0) tricode(Tvar,nbcode,imx);	Ndum =ivector(-1,NCOVMAX);
	if (ncovmodel > 2)
codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of	tricode(Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; /
the estimations*/
	codtab=imatrix(1,100,1,10); /* codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2(k-1) */
	/printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtab[100][10]);/
h=0;	h=0;


	/if (cptcovn > 0) /


m=pow(2,cptcoveff);	m=pow(2,cptcoveff);

for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */	for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */
for(i=1; i <=(m/pow(2,k));i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */	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 */	for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate ncodemax=2*/
for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){ /* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 /	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++;	h++;
if (h>m)	if (h>m)
h=1;	h=1;
	/< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1) + 1
	* h 1 2 3 4
	*______________________________
	* 1 i=1 1 i=1 1 i=1 1 i=1 1
	* 2 2 1 1 1
	* 3 i=2 1 2 1 1
	* 4 2 2 1 1
	* 5 i=3 1 i=2 1 2 1
	* 6 2 1 2 1
	* 7 i=4 1 2 2 1
	* 8 2 2 2 1
	* 9 i=5 1 i=3 1 i=2 1 1
	* 10 2 1 1 1
	* 11 i=6 1 2 1 1
	* 12 2 2 1 1
	* 13 i=7 1 i=4 1 2 1
	* 14 2 1 2 1
	* 15 i=8 1 2 2 1
	* 16 2 2 2 1
	*/
codtab[h][k]=j;	codtab[h][k]=j;
codtab[h][Tvar[k]]=j;	/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("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]]);
}	}
}	}
Line 5518 run imach with mle=-1 to get a correct t	Line 5830 run imach with mle=-1 to get a correct t
printf("\n");	printf("\n");
}	}
scanf("%d",i);*/	scanf("%d",i);*/

	free_ivector(Ndum,-1,NCOVMAX);



/------------ gnuplot -------------/	/------------ gnuplot -------------/
strcpy(optionfilegnuplot,optionfilefiname);	strcpy(optionfilegnuplot,optionfilefiname);
Line 5641 Interval (in months) between two waves:	Line 5957 Interval (in months) between two waves:
ximort[i][j]=(i == j ? 1.0 : 0.0);	ximort[i][j]=(i == j ? 1.0 : 0.0);
}	}

p[1]=0.0268; p[NDIM]=0.083;	/p[1]=0.0268; p[NDIM]=0.083;/
/printf("%lf %lf", p[1], p[2]);/	/printf("%lf %lf", p[1], p[2]);/


Line 6035 Interval (in months) between two waves:	Line 6351 Interval (in months) between two waves:



/* 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);/	/* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */

replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */	replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);	printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
Line 6061 Interval (in months) between two waves:	Line 6377 Interval (in months) between two waves:


/--------------- Prevalence limit (period or stable prevalence) --------------/	/--------------- Prevalence limit (period or stable prevalence) --------------/
	#include "prevlim.h" /* Use ficrespl, ficlog */
strcpy(filerespl,"pl");
strcat(filerespl,fileres);
if((ficrespl=fopen(filerespl,"w"))==NULL) {
printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;
fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;
}
printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl);
fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl);
pstamp(ficrespl);
fprintf(ficrespl,"# Period (stable) prevalence \n");
fprintf(ficrespl,"#Age ");
for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
fprintf(ficrespl,"\n");

prlim=matrix(1,nlstate,1,nlstate);

agebase=ageminpar;
agelim=agemaxpar;
ftolpl=1.e-10;
i1=cptcoveff;
if (cptcovn < 1){i1=1;}

for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;
/* to clean */
printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,codtab[cptcod][cptcov],nbcode);
fprintf(ficrespl,"\n#******");
printf("\n#******");
fprintf(ficlog,"\n#******");
for(j=1;j<=cptcoveff;j++) {
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
}
fprintf(ficrespl,"******\n");
printf("******\n");
fprintf(ficlog,"******\n");

for (age=agebase; age<=agelim; age++){
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
fprintf(ficrespl,"%.0f ",age );
for(j=1;j<=cptcoveff;j++)
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
for(i=1; i<=nlstate;i++)
fprintf(ficrespl," %.5f", prlim[i][i]);
fprintf(ficrespl,"\n");
}
}
}
fclose(ficrespl);	fclose(ficrespl);

/------------- h Pij x at various ages ------------/	#ifdef FREEEXIT2
	#include "freeexit2.h"
strcpy(filerespij,"pij"); strcat(filerespij,fileres);	#endif
if((ficrespij=fopen(filerespij,"w"))==NULL) {
printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij);goto end;
}
printf("Computing pij: result on file '%s' \n", filerespij);
fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);

stepsize=(int) (stepm+YEARM-1)/YEARM;
/if (stepm<=24) stepsize=2;/

agelim=AGESUP;
hstepm=stepsizeYEARM; / 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 ");
for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;
fprintf(ficrespij,"\n#****** ");
for(j=1;j<=cptcoveff;j++)
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficrespij,"******\n");

for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
nhstepm=(int) rint((agelim-agedeb)YEARM/stepm); / Typically 20 years = 2012/6=40 /
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */

/* nhstepm=nhstepmYEARM; aff par mois/

p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	/------------- h Pij x at various ages ------------/
oldm=oldms;savm=savms;	#include "hpijx.h"
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	fclose(ficrespij);
fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespij," %1d-%1d",i,j);
fprintf(ficrespij,"\n");
for (h=0; h<=nhstepm; h++){
fprintf(ficrespij,"%d %3.f %3.f",k,agedeb, agedeb+ hhstepm/YEARMstepm );
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespij," %.5f", p3mat[i][j][h]);
fprintf(ficrespij,"\n");
}
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
fprintf(ficrespij,"\n");
}
}
}

	/-------------- Variance of one-step probabilities---/
	k=1;
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);	varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);

fclose(ficrespij);

probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);	probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
for(i=1;i<=AGESUP;i++)	for(i=1;i<=AGESUP;i++)
Line 6220 Interval (in months) between two waves:	Line 6440 Interval (in months) between two waves:
}	}
printf("Computing Health Expectancies: result on file '%s' \n", filerese);	printf("Computing Health Expectancies: result on file '%s' \n", filerese);
fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);	fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
k=k+1;
	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficreseij,"\n#****** ");	fprintf(ficreseij,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
Line 6234 Interval (in months) between two waves:	Line 6455 Interval (in months) between two waves:
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);	evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);

free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
}	/}/
}	}
fclose(ficreseij);	fclose(ficreseij);

Line 6279 Interval (in months) between two waves:	Line 6500 Interval (in months) between two waves:
printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);

for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
k=k+1;
fprintf(ficrest,"\n#****** ");	for (k=1; k <= (int) pow(2,cptcoveff); k++){
	fprintf(ficrest,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficrest,"******\n");	fprintf(ficrest,"******\n");
Line 6304 Interval (in months) between two waves:	Line 6526 Interval (in months) between two waves:
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);	eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);	cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);
	/*
	*/
	/* goto endfree; */

vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);	vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
pstamp(ficrest);	pstamp(ficrest);


for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/	for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
oldm=oldms;savm=savms;	oldm=oldms;savm=savms; /* Segmentation fault */
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); 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 ");	varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart);
	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)	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);	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);
else	else
Line 6353 Interval (in months) between two waves:	Line 6581 Interval (in months) between two waves:
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
free_ma3x(vareij,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);	free_vector(epj,1,nlstate+1);
}	/}/
}	}
free_vector(weight,1,n);	free_vector(weight,1,n);
free_imatrix(Tvard,1,15,1,2);	free_imatrix(Tvard,1,NCOVMAX,1,2);
free_imatrix(s,1,maxwav+1,1,n);	free_imatrix(s,1,maxwav+1,1,n);
free_matrix(anint,1,maxwav,1,n);	free_matrix(anint,1,maxwav,1,n);
free_matrix(mint,1,maxwav,1,n);	free_matrix(mint,1,maxwav,1,n);
Line 6378 Interval (in months) between two waves:	Line 6606 Interval (in months) between two waves:
}	}
printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);	printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);

for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
k=k+1;
fprintf(ficresvpl,"\n#****** ");	for (k=1; k <= (int) pow(2,cptcoveff); k++){
	fprintf(ficresvpl,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficresvpl,"******\n");	fprintf(ficresvpl,"******\n");
Line 6390 Interval (in months) between two waves:	Line 6619 Interval (in months) between two waves:
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);	varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);
free_matrix(varpl,1,nlstate,(int) bage, (int)fage);	free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
}	/}/
}	}

fclose(ficresvpl);	fclose(ficresvpl);
Line 6412 Interval (in months) between two waves:	Line 6641 Interval (in months) between two waves:
free_matrix(agev,1,maxwav,1,imx);	free_matrix(agev,1,maxwav,1,imx);
free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);

free_ivector(ncodemax,1,8);	free_ivector(ncodemax,1,NCOVMAX);
free_ivector(Tvar,1,15);	free_ivector(Tvar,1,NCOVMAX);
free_ivector(Tprod,1,15);	free_ivector(Tprod,1,NCOVMAX);
free_ivector(Tvaraff,1,15);	free_ivector(Tvaraff,1,NCOVMAX);
free_ivector(Tage,1,15);	free_ivector(Tage,1,NCOVMAX);

free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);	free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);
free_imatrix(codtab,1,100,1,10);	free_imatrix(codtab,1,100,1,10);
Line 6433 Interval (in months) between two waves:	Line 6662 Interval (in months) between two waves:
}	}
printf("See log file on %s\n",filelog);	printf("See log file on %s\n",filelog);
/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */	/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */
(void) gettimeofday(&end_time,&tzp);	/(void) gettimeofday(&end_time,&tzp);/
tm = *localtime(&end_time.tv_sec);	rend_time = time(NULL);
tmg = *gmtime(&end_time.tv_sec);	end_time = *localtime(&rend_time);
strcpy(strtend,asctime(&tm));	/* tml = localtime(&end_time.tm_sec); /
	strcpy(strtend,asctime(&end_time));
printf("Local time at start %s\nLocal time at end %s",strstart, strtend);	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);	fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);
printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));	printf("Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));

printf("Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);	printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));	fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));
fprintf(ficlog,"Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);	fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
/* printf("Total time was %d uSec.\n", total_usecs);*/	/* printf("Total time was %d uSec.\n", total_usecs);*/
/* if(fileappend(fichtm,optionfilehtm)){ */	/* if(fileappend(fichtm,optionfilehtm)){ */
fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);	fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);
Line 6462 Interval (in months) between two waves:	Line 6692 Interval (in months) between two waves:
printf("Current directory %s!\n",pathcd);	printf("Current directory %s!\n",pathcd);
/strcat(plotcmd,CHARSEPARATOR);/	/strcat(plotcmd,CHARSEPARATOR);/
sprintf(plotcmd,"gnuplot");	sprintf(plotcmd,"gnuplot");
#ifndef UNIX	#ifdef _WIN32
sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);	sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);
#endif	#endif
if(!stat(plotcmd,&info)){	if(!stat(plotcmd,&info)){
printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);	printf("Error or gnuplot program not found: %s\n",plotcmd);fflush(stdout);
if(!stat(getenv("GNUPLOTBIN"),&info)){	if(!stat(getenv("GNUPLOTBIN"),&info)){
printf("Error gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);	printf("Error or gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
}else	}else
strcpy(pplotcmd,plotcmd);	strcpy(pplotcmd,plotcmd);
#ifdef UNIX	#ifdef __unix
strcpy(plotcmd,GNUPLOTPROGRAM);	strcpy(plotcmd,GNUPLOTPROGRAM);
if(!stat(plotcmd,&info)){	if(!stat(plotcmd,&info)){
printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);	printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
Line 6485 Interval (in months) between two waves:	Line 6715 Interval (in months) between two waves:
printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);	printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);

if((outcmd=system(plotcmd)) != 0){	if((outcmd=system(plotcmd)) != 0){
printf("\n Problem with gnuplot\n");	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");
	sprintf(plotcmd,"%sgnuplot %s", pathimach, optionfilegnuplot);
	if((outcmd=system(plotcmd)) != 0)
	printf("\n Still a problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);
}	}
printf(" Wait...");	printf(" Successul, please wait...");
while (z[0] != 'q') {	while (z[0] != 'q') {
/* chdir(path); */	/* chdir(path); */
printf("\nType e to edit output files, g to graph again and q for exiting: ");	printf("\nType e to edit results with your browser, g to graph again and q for exit: ");
scanf("%s",z);	scanf("%s",z);
/* if (z[0] == 'c') system("./imach"); */	/* if (z[0] == 'c') system("./imach"); */
if (z[0] == 'e') {	if (z[0] == 'e') {
printf("Starting browser with: %s",optionfilehtm);fflush(stdout);	#ifdef _APPLE_
system(optionfilehtm);	sprintf(pplotcmd, "open %s", optionfilehtm);
	#elif __linux
	sprintf(pplotcmd, "xdg-open %s", optionfilehtm);
	#else
	sprintf(pplotcmd, "%s", optionfilehtm);
	#endif
	printf("Starting browser with: %s",pplotcmd);fflush(stdout);
	system(pplotcmd);
}	}
else if (z[0] == 'g') system(plotcmd);	else if (z[0] == 'g') system(plotcmd);
else if (z[0] == 'q') exit(0);	else if (z[0] == 'q') exit(0);

FreeBSD-CVSweb <freebsd-cvsweb@FreeBSD.org>

Removed from v.1.142
changed lines
	Added in v.1.157