--- imach/src/imach.c 2003/06/25 16:33:55 1.93 +++ imach/src/imach.c 2003/07/08 07:54:34 1.95 @@ -1,6 +1,14 @@ -/* $Id: imach.c,v 1.93 2003/06/25 16:33:55 brouard Exp $ +/* $Id: imach.c,v 1.95 2003/07/08 07:54:34 brouard Exp $ $State: Exp $ $Log: imach.c,v $ + Revision 1.95 2003/07/08 07:54:34 brouard + * imach.c (Repository): + (Repository): Using imachwizard code to output a more meaningful covariance + matrix (cov(a12,c31) instead of numbers. + + Revision 1.94 2003/06/27 13:00:02 brouard + Just cleaning + Revision 1.93 2003/06/25 16:33:55 brouard (Module): On windows (cygwin) function asctime_r doesn't exist so I changed back to asctime which exists. @@ -162,6 +170,9 @@ #include #include "timeval.h" +/* #include */ +/* #define _(String) gettext (String) */ + #define MAXLINE 256 #define GNUPLOTPROGRAM "gnuplot" /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ @@ -190,11 +201,11 @@ #define ODIRSEPARATOR '/' #endif -/* $Id: imach.c,v 1.93 2003/06/25 16:33:55 brouard Exp $ */ +/* $Id: imach.c,v 1.95 2003/07/08 07:54:34 brouard Exp $ */ /* $State: Exp $ */ char version[]="Imach version 0.96b, June 2003, INED-EUROREVES "; -char fullversion[]="$Revision: 1.93 $ $Date: 2003/06/25 16:33:55 $"; +char fullversion[]="$Revision: 1.95 $ $Date: 2003/07/08 07:54:34 $"; int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */ int nvar; int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov; @@ -242,7 +253,7 @@ char command[FILENAMELENGTH]; int outcmd=0; char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH]; -char lfileres[FILENAMELENGTH]; + char filelog[FILENAMELENGTH]; /* Log file */ char filerest[FILENAMELENGTH]; char fileregp[FILENAMELENGTH]; @@ -562,6 +573,41 @@ void free_ma3x(double ***m, long nrl, lo free((FREE_ARG)(m+nrl-NR_END)); } +/*************** function subdirf ***********/ +char *subdirf(char fileres[]) +{ + /* Caution optionfilefiname is hidden */ + strcpy(tmpout,optionfilefiname); + strcat(tmpout,"/"); /* Add to the right */ + strcat(tmpout,fileres); + return tmpout; +} + +/*************** function subdirf2 ***********/ +char *subdirf2(char fileres[], char *preop) +{ + + /* Caution optionfilefiname is hidden */ + strcpy(tmpout,optionfilefiname); + strcat(tmpout,"/"); + strcat(tmpout,preop); + strcat(tmpout,fileres); + return tmpout; +} + +/*************** function subdirf3 ***********/ +char *subdirf3(char fileres[], char *preop, char *preop2) +{ + + /* Caution optionfilefiname is hidden */ + strcpy(tmpout,optionfilefiname); + strcat(tmpout,"/"); + strcat(tmpout,preop); + strcat(tmpout,preop2); + strcat(tmpout,fileres); + return tmpout; +} + /***************** f1dim *************************/ extern int ncom; extern double *pcom,*xicom; @@ -1219,31 +1265,10 @@ double func( double *x) oldm=newm; } /* end mult */ - /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ - /* But now since version 0.9 we anticipate for bias and large stepm. - * If stepm is larger than one month (smallest stepm) and if the exact delay - * (in months) between two waves is not a multiple of stepm, we rounded to - * the nearest (and in case of equal distance, to the lowest) interval but now - * we keep into memory the bias bh[mi][i] and also the previous matrix product - * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the - * probability in order to take into account the bias as a fraction of the way - * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies - * -stepm/2 to stepm/2 . - * For stepm=1 the results are the same as for previous versions of Imach. - * For stepm > 1 the results are less biased than in previous versions. - */ s1=s[mw[mi][i]][i]; s2=s[mw[mi+1][i]][i]; bbh=(double)bh[mi][i]/(double)stepm; - /* bias is positive if real duration - * is higher than the multiple of stepm and negative otherwise. - */ lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */ - /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/ - /*lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.-+bh)*out[s1][s2])); */ /* exponential interpolation */ - /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ - /*if(lli ==000.0)*/ - /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ ipmx +=1; sw += weight[i]; ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; @@ -1270,30 +1295,10 @@ double func( double *x) oldm=newm; } /* end mult */ - /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */ - /* But now since version 0.9 we anticipate for bias and large stepm. - * If stepm is larger than one month (smallest stepm) and if the exact delay - * (in months) between two waves is not a multiple of stepm, we rounded to - * the nearest (and in case of equal distance, to the lowest) interval but now - * we keep into memory the bias bh[mi][i] and also the previous matrix product - * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the - * probability in order to take into account the bias as a fraction of the way - * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies - * -stepm/2 to stepm/2 . - * For stepm=1 the results are the same as for previous versions of Imach. - * For stepm > 1 the results are less biased than in previous versions. - */ s1=s[mw[mi][i]][i]; s2=s[mw[mi+1][i]][i]; bbh=(double)bh[mi][i]/(double)stepm; - /* bias is positive if real duration - * is higher than the multiple of stepm and negative otherwise. - */ - /* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); */ /* linear interpolation */ lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */ - /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/ - /*if(lli ==000.0)*/ - /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */ ipmx +=1; sw += weight[i]; ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; @@ -1459,35 +1464,8 @@ double funcone( double *x) return -l; } -char *subdirf(char fileres[]) -{ - /* Caution optionfilefiname is hidden */ - strcpy(tmpout,optionfilefiname); - strcat(tmpout,"/"); /* Add to the right */ - strcat(tmpout,fileres); - return tmpout; -} - -char *subdirf2(char fileres[], char *preop) -{ - - strcpy(tmpout,optionfilefiname); - strcat(tmpout,"/"); - strcat(tmpout,preop); - strcat(tmpout,fileres); - return tmpout; -} -char *subdirf3(char fileres[], char *preop, char *preop2) -{ - - strcpy(tmpout,optionfilefiname); - strcat(tmpout,"/"); - strcat(tmpout,preop); - strcat(tmpout,preop2); - strcat(tmpout,fileres); - return tmpout; -} +/*************** function likelione ***********/ void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*funcone)(double [])) { /* This routine should help understanding what is done with @@ -2321,7 +2299,7 @@ void evsij(char fileres[], double ***eij hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ - /* Computing Variances of health expectancies */ + /* Computing Variances of health expectancies */ for(theta=1; theta <=npar; theta++){ for(i=1; i<=npar; i++){ @@ -2875,8 +2853,8 @@ void varprob(char optionfilefiname[], do fprintf(fichtm,"\n

  • Computing and drawing one step probabilities with their confidence intervals

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

  • Computing matrix of variance-covariance of step probabilities

    • \n",optionfilehtmcov); - fprintf(fichtmcov,"\n

    Computing matrix of variance-covariance of step probabilities

    \n\ + fprintf(fichtm,"\n

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

    • \n",optionfilehtmcov); + fprintf(fichtmcov,"\n

    Matrix of variance-covariance of pairs of step probabilities

    \n\ file %s
    \n",optionfilehtmcov); fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated\ and drawn. It helps understanding how is the covariance between two incidences.\ @@ -3214,8 +3192,8 @@ fprintf(fichtm,"