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Diff for /imach/src/imach.c between versions 1.309 and 1.318

version 1.309, 2021/05/20 12:39:14 version 1.318, 2022/05/24 08:10:59
Line 1 Line 1
 /* $Id$  /* $Id$
   $State$    $State$
   $Log$    $Log$
     Revision 1.318  2022/05/24 08:10:59  brouard
     * imach.c (Module): Some attempts to find a bug of wrong estimates
     of confidencce intervals with product in the equation modelC
   
     Revision 1.317  2022/05/15 15:06:23  brouard
     * imach.c (Module):  Some minor improvements
   
     Revision 1.316  2022/05/11 15:11:31  brouard
     Summary: r27
   
     Revision 1.315  2022/05/11 15:06:32  brouard
     *** empty log message ***
   
     Revision 1.314  2022/04/13 17:43:09  brouard
     * imach.c (Module): Adding link to text data files
   
     Revision 1.313  2022/04/11 15:57:42  brouard
     * imach.c (Module): Error in rewriting the 'r' file with yearsfproj or yearsbproj fixed
   
     Revision 1.312  2022/04/05 21:24:39  brouard
     *** empty log message ***
   
     Revision 1.311  2022/04/05 21:03:51  brouard
     Summary: Fixed quantitative covariates
   
             Fixed covariates (dummy or quantitative)
           with missing values have never been allowed but are ERRORS and
           program quits. Standard deviations of fixed covariates were
           wrongly computed. Mean and standard deviations of time varying
           covariates are still not computed.
   
     Revision 1.310  2022/03/17 08:45:53  brouard
     Summary: 99r25
   
     Improving detection of errors: result lines should be compatible with
     the model.
   
   Revision 1.309  2021/05/20 12:39:14  brouard    Revision 1.309  2021/05/20 12:39:14  brouard
   Summary: Version 0.99r24    Summary: Version 0.99r24
   
Line 1129  typedef struct { Line 1166  typedef struct {
 #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, including generated covariates V1*V2 */  #define NCOVMAX 30  /**< Maximum number of covariates, including generated covariates V1*V2 */
 #define codtabm(h,k)  (1 & (h-1) >> (k-1))+1  #define codtabm(h,k)  (1 & (h-1) >> (k-1))+1
 /*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/  /*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/
 #define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1   #define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 
Line 1157  typedef struct { Line 1194  typedef struct {
 /* $State$ */  /* $State$ */
 #include "version.h"  #include "version.h"
 char version[]=__IMACH_VERSION__;  char version[]=__IMACH_VERSION__;
 char copyright[]="March 2021,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021, INED 2000-2021";  char copyright[]="May 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022";
 char fullversion[]="$Revision$ $Date$";   char fullversion[]="$Revision$ $Date$"; 
 char strstart[80];  char strstart[80];
 char optionfilext[10], optionfilefiname[FILENAMELENGTH];  char optionfilext[10], optionfilefiname[FILENAMELENGTH];
Line 1339  double ***cotvar; /* Time varying covari Line 1376  double ***cotvar; /* Time varying covari
 double ***cotqvar; /* Time varying quantitative covariate itqv */  double ***cotqvar; /* Time varying quantitative covariate itqv */
 double  idx;   double  idx; 
 int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */  int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */
   /* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1
     # States 1=Coresidence, 2 Living alone, 3 Institution
     # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi
   */
 /*           V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */  /*           V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
 /*k          1  2   3   4     5    6    7     8    9 */  /*k          1  2   3   4     5    6    7     8    9 */
 /*Tvar[k]=   5  4   3   6     5    2    7     1    1 */  /*Tvar[k]=   5  4   3   6     5    2    7     1    1 */
Line 1362  int *TvarsDind; Line 1403  int *TvarsDind;
 int *TvarsQ;  int *TvarsQ;
 int *TvarsQind;  int *TvarsQind;
   
 #define MAXRESULTLINES 10  #define MAXRESULTLINESPONE 10+1
 int nresult=0;  int nresult=0;
 int parameterline=0; /* # of the parameter (type) line */  int parameterline=0; /* # of the parameter (type) line */
 int TKresult[MAXRESULTLINES];  int TKresult[MAXRESULTLINESPONE];
 int Tresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */  int Tresult[MAXRESULTLINESPONE][NCOVMAX];/* For dummy variable , value (output) */
 int Tinvresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */  int Tinvresult[MAXRESULTLINESPONE][NCOVMAX];/* For dummy variable , value (output) */
 int Tvresult[MAXRESULTLINES][NCOVMAX]; /* For dummy variable , variable # (output) */  int Tvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For dummy variable , variable # (output) */
 double Tqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */  double Tqresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */
 double Tqinvresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */  double Tqinvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */
 int Tvqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , variable # (output) */  int Tvqresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , variable # (output) */
   
   /* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1
     # States 1=Coresidence, 2 Living alone, 3 Institution
     # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi
   */
 /* int *TDvar; /\**< TDvar[1]=4,  TDvarF[2]=3, TDvar[3]=6  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */  /* int *TDvar; /\**< TDvar[1]=4,  TDvarF[2]=3, TDvar[3]=6  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */
 int *TvarF; /**< TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */  int *TvarF; /**< TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
 int *TvarFind; /**< TvarFind[1]=6,  TvarFind[2]=7, Tvarind[3]=9  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */  int *TvarFind; /**< TvarFind[1]=6,  TvarFind[2]=7, Tvarind[3]=9  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
Line 1574  char *cutl(char *blocc, char *alocc, cha Line 1619  char *cutl(char *blocc, char *alocc, cha
 {  {
   /* cuts string in into blocc and alocc where blocc ends before FIRST occurence of 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')       and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
      gives blocc="abcdef" and alocc="ghi2j".       gives alocc="abcdef" and blocc="ghi2j".
      If occ is not found blocc is null and alocc is equal to in. Returns blocc       If occ is not found blocc is null and alocc is equal to in. Returns blocc
   */    */
   char *s, *t;    char *s, *t;
Line 1856  char *subdirf(char fileres[]) Line 1901  char *subdirf(char fileres[])
 /*************** function subdirf2 ***********/  /*************** function subdirf2 ***********/
 char *subdirf2(char fileres[], char *preop)  char *subdirf2(char fileres[], char *preop)
 {  {
       /* Example subdirf2(optionfilefiname,"FB_") with optionfilefiname="texte", result="texte/FB_texte"
    Errors in subdirf, 2, 3 while printing tmpout is
    rewritten within the same printf. Workaround: many printfs */
   /* Caution optionfilefiname is hidden */    /* Caution optionfilefiname is hidden */
   strcpy(tmpout,optionfilefiname);    strcpy(tmpout,optionfilefiname);
   strcat(tmpout,"/");    strcat(tmpout,"/");
Line 2227  void linmin(double p[], double xi[], int Line 2274  void linmin(double p[], double xi[], int
 #endif  #endif
 #ifdef LINMINORIGINAL  #ifdef LINMINORIGINAL
 #else  #else
         if(fb == fx){ /* Flat function in the direction */    if(fb == fx){ /* Flat function in the direction */
                 xmin=xx;      xmin=xx;
     *flat=1;      *flat=1;
         }else{    }else{
     *flat=0;      *flat=0;
 #endif  #endif
                 /*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */                  /*Flat mnbrak2 shift (*ax=0.000000000000, *fa=51626.272983130431), (*bx=-1.618034000000, *fb=51590.149499362531), (*cx=-4.236068025156, *fc=51590.149499362531) */
Line 2288  void linmin(double p[], double xi[], int Line 2335  void linmin(double p[], double xi[], int
   
 /*************** powell ************************/  /*************** powell ************************/
 /*  /*
 Minimization of a function func of n variables. Input consists of an initial starting point  Minimization of a function func of n variables. Input consists in an initial starting point
 p[1..n] ; an initial matrix xi[1..n][1..n] , whose columns contain the initial set of di-  p[1..n] ; an initial matrix xi[1..n][1..n]  whose columns contain the initial set of di-
 rections (usually the n unit vectors); and ftol , the fractional tolerance in the function value  rections (usually the n unit vectors); and ftol, the fractional tolerance in the function value
 such that failure to decrease by more than this amount on one iteration signals doneness. On  such that failure to decrease by more than this amount in one iteration signals doneness. On
 output, p is set to the best point found, xi is the then-current direction set, fret is the returned  output, p is set to the best point found, xi is the then-current direction set, fret is the returned
 function value at p , and iter is the number of iterations taken. The routine linmin is used.  function value at p , and iter is the number of iterations taken. The routine linmin is used.
  */   */
Line 2772  void powell(double p[], double **xi, int Line 2819  void powell(double p[], double **xi, int
   if(!first){    if(!first){
     first=1;      first=1;
     printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM),  (int)(age-stepm/YEARM), (int)delaymax);      printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM),  (int)(age-stepm/YEARM), (int)delaymax);
       fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM),  (int)(age-stepm/YEARM), (int)delaymax);
     }else if (first >=1 && first <10){
       fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM),  (int)(age-stepm/YEARM), (int)delaymax);
       first++;
     }else if (first ==10){
       fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM),  (int)(age-stepm/YEARM), (int)delaymax);
       printf("Warning: the stable prevalence dit not converge. This warning came too often, IMaCh will stop notifying, even in its log file. Look at the graphs to appreciate the non convergence.\n");
       fprintf(ficlog,"Warning: the stable prevalence no convergence; too many cases, giving up noticing, even in log file\n");
       first++;
   }    }
   fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM),  (int)(age-stepm/YEARM), (int)delaymax);  
   
   /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */    /* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */
   free_vector(min,1,nlstate);    free_vector(min,1,nlstate);
Line 2942  void powell(double p[], double **xi, int Line 2997  void powell(double p[], double **xi, int
                                   
     maxmax=0.;      maxmax=0.;
     for(i=1; i<=nlstate; i++){      for(i=1; i<=nlstate; i++){
       meandiff[i]=(max[i]-min[i])/(max[i]+min[i])*2.; /* mean difference for each column */        meandiff[i]=(max[i]-min[i])/(max[i]+min[i])*2.; /* mean difference for each column, could be nan! */
       maxmax=FMAX(maxmax,meandiff[i]);        maxmax=FMAX(maxmax,meandiff[i]);
       /* printf("Back age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, i, meandiff[i],(int)agefin, i, max[i], i, min[i],maxmax); */        /* printf("Back age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, i, meandiff[i],(int)agefin, i, max[i], i, min[i],maxmax); */
     } /* i loop */      } /* i loop */
Line 3076  double **pmij(double **ps, double *cov, Line 3131  double **pmij(double **ps, double *cov,
   doldm=ddoldms; /* global pointers */    doldm=ddoldms; /* global pointers */
   dnewm=ddnewms;    dnewm=ddnewms;
   dsavm=ddsavms;    dsavm=ddsavms;
     
     /* Debug */
     /* printf("Bmij ij=%d, cov[2}=%f\n", ij, cov[2]); */
   agefin=cov[2];    agefin=cov[2];
   /* Bx = Diag(w_x) P_x Diag(Sum_i w^i_x p^ij_x */    /* Bx = Diag(w_x) P_x Diag(Sum_i w^i_x p^ij_x */
   /* bmij *//* age is cov[2], ij is included in cov, but we need for    /* bmij *//* age is cov[2], ij is included in cov, but we need for
Line 3400  double ***hbxij(double ***po, int nhstep Line 3457  double ***hbxij(double ***po, int nhstep
       cov[1]=1.;        cov[1]=1.;
       agexact=age-( (h-1)*hstepm + (d)  )*stepm/YEARM; /* age just before transition, d or d-1? */        agexact=age-( (h-1)*hstepm + (d)  )*stepm/YEARM; /* age just before transition, d or d-1? */
       /* agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /\* age just before transition *\/ */        /* agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /\* age just before transition *\/ */
           /* Debug */
         /* printf("hBxij age=%lf, agexact=%lf\n", age, agexact); */
       cov[2]=agexact;        cov[2]=agexact;
       if(nagesqr==1)        if(nagesqr==1)
         cov[3]= agexact*agexact;          cov[3]= agexact*agexact;
Line 3551  double func( double *x) Line 3610  double func( double *x)
           if(nagesqr==1)            if(nagesqr==1)
             cov[3]= agexact*agexact;  /* Should be changed here */              cov[3]= agexact*agexact;  /* Should be changed here */
           for (kk=1; kk<=cptcovage;kk++) {            for (kk=1; kk<=cptcovage;kk++) {
           if(!FixedV[Tvar[Tage[kk]]])              if(!FixedV[Tvar[Tage[kk]]])
             cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */                cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */
           else              else
             cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact;                cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact;
           }            }
           out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,            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));
Line 3841  double funcone( double *x) Line 3900  double funcone( double *x)
     /* Fixed */      /* Fixed */
     /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */      /* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */
     /* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */      /* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products *\/ */
     for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */      for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products *//* Missing values are set to -1 but should be dropped */
       cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/        cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/
 /*    cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i];  */  /*    cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i];  */
 /*    cov[2+6]=covar[Tvar[6]][i];  */  /*    cov[2+6]=covar[Tvar[6]][i];  */
Line 4696  Title=%s <br>Datafile=%s Firstpass=%d La Line 4755  Title=%s <br>Datafile=%s Firstpass=%d La
                   if(s[m][iind]==-1)                    if(s[m][iind]==-1)
                     printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.));                      printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.));
                   freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */                    freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */
                   for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean */                    for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean on known values only */
                     idq[z1]=idq[z1]+weight[iind];                      if(!isnan(covar[ncovcol+z1][iind])){
                     meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind];  /* Computes mean of quantitative with selected filter */                          idq[z1]=idq[z1]+weight[iind];
                     stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; /* *weight[iind];*/  /* Computes mean of quantitative with selected filter */                          meanq[z1]+=covar[ncovcol+z1][iind]*weight[iind];  /* Computes mean of quantitative with selected filter */
                           /* stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]*weight[iind]; *//*error*/
                           stdq[z1]+=covar[ncovcol+z1][iind]*covar[ncovcol+z1][iind]*weight[iind]; /* *weight[iind];*/  /* Computes mean of quantitative with selected filter */
                       }
                   }                    }
                   /* if((int)agev[m][iind] == 55) */                    /* if((int)agev[m][iind] == 55) */
                   /*   printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */                    /*   printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */
Line 4762  Title=%s <br>Datafile=%s Firstpass=%d La Line 4824  Title=%s <br>Datafile=%s Firstpass=%d La
         Printing means of quantitative variables if any          Printing means of quantitative variables if any
       */        */
       for (z1=1; z1<= nqfveff; z1++) {        for (z1=1; z1<= nqfveff; z1++) {
         fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.0f individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]);          fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.3g (weighted) individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]);
         fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]);          fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]);
         if(weightopt==1){          if(weightopt==1){
           printf(" Weighted mean and standard deviation of");            printf(" Weighted mean and standard deviation of");
           fprintf(ficlog," Weighted mean and standard deviation of");            fprintf(ficlog," Weighted mean and standard deviation of");
           fprintf(ficresphtmfr," Weighted mean and standard deviation of");            fprintf(ficresphtmfr," Weighted mean and standard deviation of");
         }          }
         printf(" fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));          /* mu = \frac{w x}{\sum w}
         fprintf(ficlog," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));             var = \frac{\sum w (x-mu)^2}{\sum w} = \frac{w x^2}{\sum w} - mu^2 
         fprintf(ficresphtmfr," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));          */
           printf(" fixed quantitative variable V%d on  %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1]));
           fprintf(ficlog," fixed quantitative variable V%d on  %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1]));
           fprintf(ficresphtmfr," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1]));
       }        }
       /* for (z1=1; z1<= nqtveff; z1++) { */        /* for (z1=1; z1<= nqtveff; z1++) { */
       /*        for(m=1;m<=lastpass;m++){ */        /*        for(m=1;m<=lastpass;m++){ */
Line 5289  void  concatwav(int wav[], int **dh, int Line 5354  void  concatwav(int wav[], int **dh, int
 #ifdef UNKNOWNSTATUSNOTCONTRIBUTING  #ifdef UNKNOWNSTATUSNOTCONTRIBUTING
         break;          break;
 #else  #else
         if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ /* case -2 (vital status unknown is warned later */          if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ /* no death date and known date of interview, case -2 (vital status unknown is warned later */
           if(firsthree == 0){            if(firsthree == 0){
             printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);              printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);
             firsthree=1;              firsthree=1;
             }else if(firsthree >=1 && firsthree < 10){
               fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);
               firsthree++;
             }else if(firsthree == 10){
               printf("Information, too many Information flags: no more reported to log either\n");
               fprintf(ficlog,"Information, too many Information flags: no more reported to log either\n");
               firsthree++;
             }else{
               firsthree++;
           }            }
           fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);  
           mw[++mi][i]=m; /* Valid transition with unknown status */            mw[++mi][i]=m; /* Valid transition with unknown status */
           mli=m;            mli=m;
         }          }
Line 5367  void  concatwav(int wav[], int **dh, int Line 5440  void  concatwav(int wav[], int **dh, int
   } /* End individuals */    } /* End individuals */
   /* wav and mw are no more changed */    /* wav and mw are no more changed */
                   
       printf("Information, you have to check %d informations which haven't been logged!\n",firsthree);
     fprintf(ficlog,"Information, you have to check %d informations which haven't been logged!\n",firsthree);
   
   
   for(i=1; i<=imx; i++){    for(i=1; i<=imx; i++){
     for(mi=1; mi<wav[i];mi++){      for(mi=1; mi<wav[i];mi++){
       if (stepm <=0)        if (stepm <=0)
Line 5488  void  concatwav(int wav[], int **dh, int Line 5564  void  concatwav(int wav[], int **dh, int
      if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */        if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */ 
        switch(Fixed[k]) {         switch(Fixed[k]) {
        case 0: /* Testing on fixed dummy covariate, simple or product of fixed */         case 0: /* Testing on fixed dummy covariate, simple or product of fixed */
            modmaxcovj=0;
            modmincovj=0;
          for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the  modality of this covariate Vj*/           for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the  modality of this covariate Vj*/
            ij=(int)(covar[Tvar[k]][i]);             ij=(int)(covar[Tvar[k]][i]);
            /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i             /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
Line 5501  void  concatwav(int wav[], int **dh, int Line 5579  void  concatwav(int wav[], int **dh, int
            else if (ij < modmincovj)              else if (ij < modmincovj) 
              modmincovj=ij;                modmincovj=ij; 
            if (ij <0 || ij >1 ){             if (ij <0 || ij >1 ){
              printf("Information, IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i);               printf("ERROR, IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i);
              fprintf(ficlog,"Information, currently IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i);               fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i);
                fflush(ficlog);
                exit(1);
            }             }
            if ((ij < -1) || (ij > NCOVMAX)){             if ((ij < -1) || (ij > NCOVMAX)){
              printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );               printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
Line 5577  void  concatwav(int wav[], int **dh, int Line 5657  void  concatwav(int wav[], int **dh, int
          break;           break;
        } /* end switch */         } /* end switch */
      } /* end dummy test */       } /* end dummy test */
        if(Dummy[k]==1 && Typevar[k] !=1){ /* Dummy covariate and not age product */ 
          for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the  modality of this covariate Vj*/
            if(isnan(covar[Tvar[k]][i])){
              printf("ERROR, IMaCh doesn't treat fixed quantitative covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i);
              fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i);
              fflush(ficlog);
              exit(1);
            }
          }
        }
    } /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/       } /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/  
       
    for (k=-1; k< maxncov; k++) Ndum[k]=0;      for (k=-1; k< maxncov; k++) Ndum[k]=0; 
Line 6685  To be simple, these graphs help to under Line 6775  To be simple, these graphs help to under
          /* nbcode[1][1]=0 nbcode[1][2]=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<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];         for (k=1; k<=cptcovage;k++) cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
        for (k=1; k<=cptcovprod;k++)         for (k=1; k<=cptcovprod;k++)
          cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];           cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];
                                                   
Line 6934  void printinghtml(char fileresu[], char Line 7024  void printinghtml(char fileresu[], char
    m=pow(2,cptcoveff);     m=pow(2,cptcoveff);
    if (cptcovn < 1) {m=1;ncodemax[1]=1;}     if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
    fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");     fprintf(fichtm," \n<ul><li><b>Graphs (first order)</b></li><p>");
   
    jj1=0;     jj1=0;
   
Line 6969  void printinghtml(char fileresu[], char Line 7059  void printinghtml(char fileresu[], char
        fprintf(fichtm,"</a></li>");         fprintf(fichtm,"</a></li>");
      } /* cptcovn >0 */       } /* cptcovn >0 */
    }     }
      fprintf(fichtm," \n</ul>");     fprintf(fichtm," \n</ul>");
   
    jj1=0;     jj1=0;
   
Line 7048  divided by h: <sub>h</sub>P<sub>ij</sub> Line 7138  divided by h: <sub>h</sub>P<sub>ij</sub>
      if(prevfcast==1){       if(prevfcast==1){
        /* Projection of prevalence up to period (forward stable) prevalence in each health state */         /* Projection of prevalence up to period (forward stable) prevalence in each health state */
        for(cpt=1; cpt<=nlstate;cpt++){         for(cpt=1; cpt<=nlstate;cpt++){
          fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \           fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
 <img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);           fprintf(fichtm," (data from text file  <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"F_"),subdirf2(optionfilefiname,"F_"));
            fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",
                    subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
        }         }
      }       }
      if(prevbcast==1){       if(prevbcast==1){
Line 7058  divided by h: <sub>h</sub>P<sub>ij</sub> Line 7150  divided by h: <sub>h</sub>P<sub>ij</sub>
          fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \           fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \
  from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \   from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \
  account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \   account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \
 with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \  with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);
  <img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);           fprintf(fichtm," (data from text file  <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"FB_"),subdirf2(optionfilefiname,"FB_"));
            fprintf(fichtm," <img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);
        }         }
      }       }
                     
      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 in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</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) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres);
 <img src=\"%s_%d-%d-%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres);         fprintf(fichtm," (data from text file  <a href=\"%s.txt\"> %s.txt</a>)\n<br>",subdirf2(optionfilefiname,"E_"),subdirf2(optionfilefiname,"E_"));
          fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres );
      }       }
      /* } /\* end i1 *\/ */       /* } /\* end i1 *\/ */
    }/* End k1 */     }/* End k1 */
Line 7117  See page 'Matrix of variance-covariance Line 7211  See page 'Matrix of variance-covariance
 /*  else  */  /*  else  */
 /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */  /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
    fflush(fichtm);     fflush(fichtm);
    fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");  
   
    m=pow(2,cptcoveff);     m=pow(2,cptcoveff);
    if (cptcovn < 1) {m=1;ncodemax[1]=1;}     if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
      fprintf(fichtm," <ul><li><b>Graphs (second order)</b></li><p>");
   
     jj1=0;
   
      fprintf(fichtm," \n<ul>");
      for(nres=1; nres <= nresult; nres++) /* For each resultline */
      for(k1=1; k1<=m;k1++){ /* For each combination of covariate */
        if(m != 1 && TKresult[nres]!= k1)
          continue;
        jj1++;
        if (cptcovn > 0) {
          fprintf(fichtm,"\n<li><a  size=\"1\" color=\"#EC5E5E\" href=\"#rescovsecond");
          for (cpt=1; cpt<=cptcoveff;cpt++){ 
            fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);
          }
          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
            fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]);
          }
          fprintf(fichtm,"\">");
          
          /* if(nqfveff+nqtveff 0) */ /* Test to be done */
          fprintf(fichtm,"************ Results for covariates");
          for (cpt=1; cpt<=cptcoveff;cpt++){ 
            fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);
          }
          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
            fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
          }
          if(invalidvarcomb[k1]){
            fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); 
            continue;
          }
          fprintf(fichtm,"</a></li>");
        } /* cptcovn >0 */
      }
      fprintf(fichtm," \n</ul>");
   
    jj1=0;     jj1=0;
   
    for(nres=1; nres <= nresult; nres++){ /* For each resultline */     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
Line 7131  See page 'Matrix of variance-covariance Line 7261  See page 'Matrix of variance-covariance
      /* for(i1=1; i1<=ncodemax[k1];i1++){ */       /* for(i1=1; i1<=ncodemax[k1];i1++){ */
      jj1++;       jj1++;
      if (cptcovn > 0) {       if (cptcovn > 0) {
          fprintf(fichtm,"\n<p><a name=\"rescovsecond");
          for (cpt=1; cpt<=cptcoveff;cpt++){ 
            fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);
          }
          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
            fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]);
          }
          fprintf(fichtm,"\"</a>");
          
        fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");         fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
        for (cpt=1; cpt<=cptcoveff;cpt++)  /**< cptcoveff number of variables */         for (cpt=1; cpt<=cptcoveff;cpt++){  /**< cptcoveff number of variables */
          fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);           fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);
            printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout);
          /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */           /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */
          }
        for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
         fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);          fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
       }        }
Line 7148  See page 'Matrix of variance-covariance Line 7289  See page 'Matrix of variance-covariance
      }       }
      for(cpt=1; cpt<=nlstate;cpt++) {       for(cpt=1; cpt<=nlstate;cpt++) {
        fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \         fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \
 prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>\n <br>\  prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
 <img src=\"%s_%d-%d-%d.svg\">",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres);           fprintf(fichtm," (data from text file  <a href=\"%s\">%s</a>)\n <br>",subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_"));
          fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"V_"), cpt,k1,nres);
      }       }
      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 each live states (1 to %d). If popbased=1 the smooth (due to the model) \
 true period expectancies (those weighted with period prevalences are also\  true period expectancies (those weighted with period prevalences are also\
  drawn in addition to the population based expectancies computed using\   drawn in addition to the population based expectancies computed using\
  observed and cahotic prevalences:  <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>\n<br>\   observed and cahotic prevalences:  <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>",nlstate, subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres);
 <img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres);       fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>) \n<br>",subdirf2(optionfilefiname,"T_"),subdirf2(optionfilefiname,"T_"));
        fprintf(fichtm,"<img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres);
      /* } /\* end i1 *\/ */       /* } /\* end i1 *\/ */
    }/* End k1 */     }/* End k1 */
   }/* End nres */    }/* End nres */
Line 9501  int readdata(char datafile[], int firsto Line 9644  int readdata(char datafile[], int firsto
       cutv(stra, strb, line, ' ');         cutv(stra, strb, line, ' '); 
       if(strb[0]=='.') { /* Missing value */        if(strb[0]=='.') { /* Missing value */
         lval=-1;          lval=-1;
           coqvar[iv][i]=NAN; 
           covar[ncovcol+iv][i]=NAN; /* including qvar in standard covar for performance reasons */ 
       }else{        }else{
         errno=0;          errno=0;
         /* what_kind_of_number(strb); */          /* what_kind_of_number(strb); */
Line 9619  int decoderesult ( char resultline[], in Line 9764  int decoderesult ( char resultline[], in
     return (0);      return (0);
   }    }
   if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */    if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */
     printf("ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs);      printf("ERROR: the number of variables in this result line, %d, differs from the number of variables used in the model line, %d.\n",j, cptcovs);
     fprintf(ficlog,"ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs);      fprintf(ficlog,"ERROR: the number of variables in the resultline, %d, differs from the number of variables used in the model line, %d.\n",j, cptcovs);
   }    }
   for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */    for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */
     if(nbocc(resultsav,'=') >1){      if(nbocc(resultsav,'=') >1){
        cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' '         cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' (stra is the rest of the resultline to be analyzed in the next loop *//*     resultsav= "V4=1 V5=25.1 V3=0" stra= "V5=25.1 V3=0" strb= "V4=1" */
                                       resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */        cutl(strc,strd,strb,'=');  /* strb:"V4=1" strc="1" strd="V4" */
        cutl(strc,strd,strb,'=');  /* strb:V4=1 strc=1 strd=V4 */  
     }else      }else
       cutl(strc,strd,resultsav,'=');        cutl(strc,strd,resultsav,'=');
     Tvalsel[k]=atof(strc); /* 1 */      Tvalsel[k]=atof(strc); /* 1 */ /* Tvalsel of k is the float value of the kth covariate appearing in this result line */
           
     cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */;      cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */;
     Tvarsel[k]=atoi(strc);      Tvarsel[k]=atoi(strc);  /* 4 */ /* Tvarsel is the id of the kth covariate in the result line Tvarsel[1] in "V4=1.." is 4.*/
     /* Typevarsel[k]=1;  /\* 1 for age product *\/ */      /* Typevarsel[k]=1;  /\* 1 for age product *\/ */
     /* cptcovsel++;     */      /* cptcovsel++;     */
     if (nbocc(stra,'=') >0)      if (nbocc(stra,'=') >0)
       strcpy(resultsav,stra); /* and analyzes it */        strcpy(resultsav,stra); /* and analyzes it */
   }    }
   /* Checking for missing or useless values in comparison of current model needs */    /* Checking for missing or useless values in comparison of current model needs */
   for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */    for(k1=1; k1<= cptcovt ;k1++){ /* Loop on model. model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
     if(Typevar[k1]==0){ /* Single covariate in model */      if(Typevar[k1]==0){ /* Single covariate in model *//*0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for  product */
       match=0;        match=0;
       for(k2=1; k2 <=j;k2++){/* result line V4=1 V5=24.1 V3=1  V2=8 V1=0 */        for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1  V2=8 V1=0 */
         if(Tvar[k1]==Tvarsel[k2]) {/* Tvar[1]=5 == Tvarsel[2]=5   */          if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5   */
           modelresult[k2]=k1;/* modelresult[2]=1 modelresult[1]=2  modelresult[3]=3  modelresult[6]=4 modelresult[9]=5 */            modelresult[k2]=k1;/* modelresult[2]=1 modelresult[1]=2  modelresult[3]=3  modelresult[6]=4 modelresult[9]=5 */
           match=1;            match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */
           break;            break;
         }          }
       }        }
       if(match == 0){        if(match == 0){
         printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);          printf("Error in result line: V%d is missing in result: %s according to model=%s\n",k1, resultline, model);
           fprintf(ficlog,"Error in result line: V%d is missing in result: %s according to model=%s\n",k1, resultline, model);
           return 1;
       }        }
     }      }
   }    }
   /* Checking for missing or useless values in comparison of current model needs */    /* Checking for missing or useless values in comparison of current model needs */
   for(k2=1; k2 <=j;k2++){ /* result line V4=1 V5=24.1 V3=1  V2=8 V1=0 */    for(k2=1; k2 <=j;k2++){ /* Loop on resultline variables: result line V4=1 V5=24.1 V3=1  V2=8 V1=0 */
     match=0;      match=0;
     for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */      for(k1=1; k1<= cptcovt ;k1++){ /* loop on model: model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
       if(Typevar[k1]==0){ /* Single */        if(Typevar[k1]==0){ /* Single */
         if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4   */          if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4   */
           resultmodel[k1]=k2;  /* resultmodel[2]=1 resultmodel[1]=2  resultmodel[3]=3  resultmodel[6]=4 resultmodel[9]=5 */            resultmodel[k1]=k2;  /* k2th variable of the model corresponds to k1 variable of the model. resultmodel[2]=1 resultmodel[1]=2  resultmodel[3]=3  resultmodel[6]=4 resultmodel[9]=5 */
           ++match;            ++match;
         }          }
       }        }
     }      }
     if(match == 0){      if(match == 0){
       printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);        printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);
         fprintf(ficlog,"Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);
         return 1;
     }else if(match > 1){      }else if(match > 1){
       printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model);        printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model);
         fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model);
         return 1;
     }      }
   }    }
               
Line 9690  int decoderesult ( char resultline[], in Line 9840  int decoderesult ( char resultline[], in
   /* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */    /* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */
   /* V5*age V5 known which value for nres?  */    /* V5*age V5 known which value for nres?  */
   /* Tqinvresult[2]=8 Tqinvresult[1]=25.1  */    /* Tqinvresult[2]=8 Tqinvresult[1]=25.1  */
   for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* model line */    for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* loop on model line */
     if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */      if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */
       k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */        k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */
       k2=(int)Tvarsel[k3]; /*  Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */        k2=(int)Tvarsel[k3]; /*  Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */
Line 9701  int decoderesult ( char resultline[], in Line 9851  int decoderesult ( char resultline[], in
       printf("Decoderesult Dummy k=%d, V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k2, k3, (int)Tvalsel[k3], k4);        printf("Decoderesult Dummy k=%d, V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k2, k3, (int)Tvalsel[k3], k4);
       k4++;;        k4++;;
     }  else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Single quantitative */      }  else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Single quantitative */
       k3q= resultmodel[k1]; /* resultmodel[2] = 1=k3 */        k3q= resultmodel[k1]; /* resultmodel[1(V5)] = 25.1=k3q */
       k2q=(int)Tvarsel[k3q]; /*  Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */        k2q=(int)Tvarsel[k3q]; /*  Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */
       Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */        Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */
       Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */        Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */
       Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */        Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */
Line 9929  int decodemodel( char model[], int lasto Line 10079  int decodemodel( char model[], int lasto
   /* If Tvar[k] >ncovcol it is a product */    /* If Tvar[k] >ncovcol it is a product */
   /* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p  Vp=Vn*Vm for product */    /* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p  Vp=Vn*Vm for product */
         /* Computing effective variables, ie used by the model, that is from the cptcovt variables */          /* Computing effective variables, ie used by the model, that is from the cptcovt variables */
   printf("Model=%s\n\    printf("Model=1+age+%s\n\
 Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for  product \n\  Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for  product \n\
 Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\  Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\
 Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);  Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);
   fprintf(ficlog,"Model=%s\n\    fprintf(ficlog,"Model=1+age+%s\n\
 Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for  product \n\  Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for  product \n\
 Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\  Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\
 Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);  Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);
Line 10968  int main(int argc, char *argv[]) Line 11118  int main(int argc, char *argv[])
   double ftolpl=FTOL;    double ftolpl=FTOL;
   double **prlim;    double **prlim;
   double **bprlim;    double **bprlim;
   double ***param; /* Matrix of parameters */    double ***param; /* Matrix of parameters, param[i][j][k] param=ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel) 
                       state of origin, state of destination including death, for each covariate: constante, age, and V1 V2 etc. */
   double ***paramstart; /* Matrix of starting parameter values */    double ***paramstart; /* Matrix of starting parameter values */
   double  *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */    double  *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */
   double **matcov; /* Matrix of covariance */    double **matcov; /* Matrix of covariance */
Line 11895  Title=%s <br>Datafile=%s Firstpass=%d La Line 12046  Title=%s <br>Datafile=%s Firstpass=%d La
 <img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"));  <img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"));
   
       
   fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Total number of observations=%d <br>\n\    fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Number of (used) observations=%d <br>\n\
 Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\  Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\
 Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\  Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\
   imx,agemin,agemax,jmin,jmax,jmean);    imx,agemin,agemax,jmin,jmax,jmean);
Line 12466  Please run with mle=-1 to get a correct Line 12617  Please run with mle=-1 to get a correct
           prvforecast = 1;            prvforecast = 1;
         }           } 
         else if((num_filled=sscanf(line,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",&prevfcast,&yrfproj,&mobilavproj)) !=EOF){/* && (num_filled == 3))*/          else if((num_filled=sscanf(line,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",&prevfcast,&yrfproj,&mobilavproj)) !=EOF){/* && (num_filled == 3))*/
           printf("prevforecast=%d yearsfproj=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);            printf("prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
           fprintf(ficlog,"prevforecast=%d yearsfproj=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);            fprintf(ficlog,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
           fprintf(ficres,"prevforecast=%d yearsfproj=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);            fprintf(ficres,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
           prvforecast = 2;            prvforecast = 2;
         }          }
         else {          else {
Line 12489  Please run with mle=-1 to get a correct Line 12640  Please run with mle=-1 to get a correct
           prvbackcast = 1;            prvbackcast = 1;
         }           } 
         else if((num_filled=sscanf(line,"prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",&prevbcast,&yrbproj,&mobilavproj)) ==3){/* && (num_filled == 3))*/          else if((num_filled=sscanf(line,"prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",&prevbcast,&yrbproj,&mobilavproj)) ==3){/* && (num_filled == 3))*/
           printf("prevbackcast=%d yearsbproj=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);            printf("prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
           fprintf(ficlog,"prevbackcast=%d yearsbproj=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);            fprintf(ficlog,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
           fprintf(ficres,"prevbackcast=%d yearsbproj=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);            fprintf(ficres,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
           prvbackcast = 2;            prvbackcast = 2;
         }          }
         else {          else {
Line 12504  Please run with mle=-1 to get a correct Line 12655  Please run with mle=-1 to get a correct
         num_filled=sscanf(line,"result:%[^\n]\n",resultline);          num_filled=sscanf(line,"result:%[^\n]\n",resultline);
         nresult++; /* Sum of resultlines */          nresult++; /* Sum of resultlines */
         printf("Result %d: result:%s\n",nresult, resultline);          printf("Result %d: result:%s\n",nresult, resultline);
         if(nresult > MAXRESULTLINES){          if(nresult > MAXRESULTLINESPONE-1){
           printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINES,nresult,rfileres);            printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINESPONE-1,nresult,rfileres);
           fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINES,nresult,rfileres);            fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINESPONE-1,nresult,rfileres);
           goto end;            goto end;
         }          }
         decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */          if(!decoderesult(resultline, nresult)){ /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */
         fprintf(ficparo,"result: %s\n",resultline);            fprintf(ficparo,"result: %s\n",resultline);
         fprintf(ficres,"result: %s\n",resultline);            fprintf(ficres,"result: %s\n",resultline);
         fprintf(ficlog,"result: %s\n",resultline);            fprintf(ficlog,"result: %s\n",resultline);
           } else
             goto end;
         break;          break;
       case 14:        case 14:
         printf("Error: Unknown command '%s'\n",line);          printf("Error: Unknown command '%s'\n",line);
         fprintf(ficlog,"Error: Unknown command '%s'\n",line);          fprintf(ficlog,"Error: Unknown command '%s'\n",line);
           if(line[0] == ' ' || line[0] == '\n'){
             printf("It should not be an empty line '%s'\n",line);
             fprintf(ficlog,"It should not be an empty line '%s'\n",line);
           }         
         if(ncovmodel >=2 && nresult==0 ){          if(ncovmodel >=2 && nresult==0 ){
           printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);            printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);
           fprintf(ficlog,"ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);            fprintf(ficlog,"ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);
Removed from v.1.309  
changed lines
  Added in v.1.318

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