--- imach/src/imach.c 2017/06/27 10:22:40 1.272
+++ imach/src/imach.c 2018/02/21 07:58:13 1.280
@@ -1,6 +1,32 @@
-/* $Id: imach.c,v 1.272 2017/06/27 10:22:40 brouard Exp $
+/* $Id: imach.c,v 1.280 2018/02/21 07:58:13 brouard Exp $
$State: Exp $
$Log: imach.c,v $
+ Revision 1.280 2018/02/21 07:58:13 brouard
+ Summary: 0.99r15
+
+ New Makefile with recent VirtualBox 5.26. Bug in sqrt negatve in imach.c
+
+ Revision 1.279 2017/07/20 13:35:01 brouard
+ Summary: temporary working
+
+ Revision 1.278 2017/07/19 14:09:02 brouard
+ Summary: Bug for mobil_average=0 and prevforecast fixed(?)
+
+ Revision 1.277 2017/07/17 08:53:49 brouard
+ Summary: BOM files can be read now
+
+ Revision 1.276 2017/06/30 15:48:31 brouard
+ Summary: Graphs improvements
+
+ Revision 1.275 2017/06/30 13:39:33 brouard
+ Summary: Saito's color
+
+ Revision 1.274 2017/06/29 09:47:08 brouard
+ Summary: Version 0.99r14
+
+ Revision 1.273 2017/06/27 11:06:02 brouard
+ Summary: More documentation on projections
+
Revision 1.272 2017/06/27 10:22:40 brouard
Summary: Color of backprojection changed from 6 to 5(yellow)
@@ -1019,12 +1045,12 @@ typedef struct {
#define ODIRSEPARATOR '\\'
#endif
-/* $Id: imach.c,v 1.272 2017/06/27 10:22:40 brouard Exp $ */
+/* $Id: imach.c,v 1.280 2018/02/21 07:58:13 brouard Exp $ */
/* $State: Exp $ */
#include "version.h"
char version[]=__IMACH_VERSION__;
char copyright[]="February 2016,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2018";
-char fullversion[]="$Revision: 1.272 $ $Date: 2017/06/27 10:22:40 $";
+char fullversion[]="$Revision: 1.280 $ $Date: 2018/02/21 07:58:13 $";
char strstart[80];
char optionfilext[10], optionfilefiname[FILENAMELENGTH];
int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */
@@ -2498,15 +2524,18 @@ void powell(double p[], double **xi, int
double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij, int nres)
{
- /* Computes the prevalence limit in each live state at age x and for covariate combination ij
- (and selected quantitative values in nres)
- by left multiplying the unit
- matrix by transitions matrix until convergence is reached with precision ftolpl */
- /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */
- /* Wx is row vector: population in state 1, population in state 2, population dead */
- /* or prevalence in state 1, prevalence in state 2, 0 */
- /* newm is the matrix after multiplications, its rows are identical at a factor */
- /* Initial matrix pimij */
+ /**< Computes the prevalence limit in each live state at age x and for covariate combination ij
+ * (and selected quantitative values in nres)
+ * by left multiplying the unit
+ * matrix by transitions matrix until convergence is reached with precision ftolpl
+ * Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I
+ * Wx is row vector: population in state 1, population in state 2, population dead
+ * or prevalence in state 1, prevalence in state 2, 0
+ * newm is the matrix after multiplications, its rows are identical at a factor.
+ * Inputs are the parameter, age, a tolerance for the prevalence limit ftolpl.
+ * Output is prlim.
+ * Initial matrix pimij
+ */
/* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */
/* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */
/* 0, 0 , 1} */
@@ -3851,7 +3880,7 @@ void likelione(FILE *ficres,double p[],
else if(mle >=1)
fprintf(fichtm,"\n
File of contributions to the likelihood computed with optimized parameters mle = %d.",mle);
fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: %s
\n",subdirf(fileresilk),subdirf(fileresilk));
-
+ fprintf(fichtm,"\n
Equation of the model: model=1+age+%s
\n",model);
for (k=1; k<= nlstate ; k++) {
fprintf(fichtm,"
- Probability p%dj by origin %d and destination j. Dot's sizes are related to corresponding weight: %s-p%dj.png
\
@@ -5754,10 +5783,11 @@ void concatwav(int wav[], int **dh, int
/************ Variance ******************/
void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[], int nres)
{
- /* Variance of health expectancies */
- /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
- /* double **newm;*/
- /* int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav)*/
+ /** Variance of health expectancies
+ * double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);
+ * double **newm;
+ * int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav)
+ */
/* int movingaverage(); */
double **dnewm,**doldm;
@@ -5765,11 +5795,11 @@ void concatwav(int wav[], int **dh, int
int i, j, nhstepm, hstepm, h, nstepm ;
int k;
double *xp;
- double **gp, **gm; /* for var eij */
- double ***gradg, ***trgradg; /*for var eij */
- double **gradgp, **trgradgp; /* for var p point j */
- double *gpp, *gmp; /* for var p point j */
- double **varppt; /* for var p point j nlstate to nlstate+ndeath */
+ double **gp, **gm; /**< for var eij */
+ double ***gradg, ***trgradg; /**< for var eij */
+ double **gradgp, **trgradgp; /**< for var p point j */
+ double *gpp, *gmp; /**< for var p point j */
+ double **varppt; /**< for var p point j nlstate to nlstate+ndeath */
double ***p3mat;
double age,agelim, hf;
/* double ***mobaverage; */
@@ -5830,7 +5860,7 @@ void concatwav(int wav[], int **dh, int
/* fprintf(fichtm, "#Local time at start: %s", strstart);*/
fprintf(fichtm,"\n
Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)
\n");
fprintf(fichtm,"\n
%s
\n",digitp);
- /* } */
+
varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
pstamp(ficresvij);
fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are ");
@@ -5885,9 +5915,12 @@ void concatwav(int wav[], int **dh, int
for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
xp[i] = x[i] + (i==theta ?delti[theta]:0);
}
-
+ /**< Computes the prevalence limit with parameter theta shifted of delta up to ftolpl precision and
+ * returns into prlim .
+ */
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij, nres);
-
+
+ /* If popbased = 1 we use crossection prevalences. Previous step is useless but prlim is created */
if (popbased==1) {
if(mobilav ==0){
for(i=1; i<=nlstate;i++)
@@ -5897,23 +5930,28 @@ void concatwav(int wav[], int **dh, int
prlim[i][i]=mobaverage[(int)age][i][ij];
}
}
-
- hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); /* Returns p3mat[i][j][h] for h=1 to nhstepm */
+ /**< Computes the shifted transition matrix \f$ {}{h}_p^{ij}_x\f$ at horizon h.
+ */
+ hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres); /* Returns p3mat[i][j][h] for h=0 to nhstepm */
+ /**< And for each alive state j, sums over i \f$ w^i_x {}{h}_p^{ij}_x\f$, which are the probability
+ * at horizon h in state j including mortality.
+ */
for(j=1; j<= nlstate; j++){
for(h=0; h<=nhstepm; h++){
for(i=1, gp[h][j]=0.;i<=nlstate;i++)
gp[h][j] += prlim[i][i]*p3mat[i][j][h];
}
}
- /* Next for computing probability of death (h=1 means
+ /* Next for computing shifted+ probability of death (h=1 means
computed over hstepm matrices product = hstepm*stepm months)
- as a weighted average of prlim.
+ as a weighted average of prlim(i) * p(i,j) p.3=w1*p13 + w2*p23 .
*/
for(j=nlstate+1;j<=nlstate+ndeath;j++){
for(i=1,gpp[j]=0.; i<= nlstate; i++)
gpp[j] += prlim[i][i]*p3mat[i][j][1];
- }
- /* end probability of death */
+ }
+
+ /* Again with minus shift */
for(i=1; i<=npar; i++) /* Computes gradient x - delta */
xp[i] = x[i] - (i==theta ?delti[theta]:0);
@@ -5946,19 +5984,23 @@ void concatwav(int wav[], int **dh, int
for(i=1,gmp[j]=0.; i<= nlstate; i++)
gmp[j] += prlim[i][i]*p3mat[i][j][1];
}
- /* end probability of death */
-
+ /* end shifting computations */
+
+ /**< Computing gradient matrix at horizon h
+ */
for(j=1; j<= nlstate; j++) /* vareij */
for(h=0; h<=nhstepm; h++){
gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
}
-
- for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */
+ /**< Gradient of overall mortality p.3 (or p.j)
+ */
+ for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu mortality from j */
gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
}
} /* End theta */
-
+
+ /* We got the gradient matrix for each theta and state j */
trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */
for(h=0; h<=nhstepm; h++) /* veij */
@@ -5969,13 +6011,19 @@ void concatwav(int wav[], int **dh, int
for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
for(theta=1; theta <=npar; theta++)
trgradgp[j][theta]=gradgp[theta][j];
-
+ /**< as well as its transposed matrix
+ */
hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */
for(i=1;i<=nlstate;i++)
for(j=1;j<=nlstate;j++)
vareij[i][j][(int)age] =0.;
-
+
+ /* Computing trgradg by matcov by gradg at age and summing over h
+ * and k (nhstepm) formula 15 of article
+ * Lievre-Brouard-Heathcote
+ */
+
for(h=0;h<=nhstepm;h++){
for(k=0;k<=nhstepm;k++){
matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
@@ -5986,7 +6034,11 @@ void concatwav(int wav[], int **dh, int
}
}
- /* pptj */
+ /* pptj is p.3 or p.j = trgradgp by cov by gradgp, variance of
+ * p.j overall mortality formula 49 but computed directly because
+ * we compute the grad (wix pijx) instead of grad (pijx),even if
+ * wix is independent of theta.
+ */
matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);
matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
for(j=nlstate+1;j<=nlstate+ndeath;j++)
@@ -6595,7 +6647,12 @@ To be simple, these graphs help to under
}
/* Eigen vectors */
- v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
+ if(1+(v1-lc1)*(v1-lc1)/cv12/cv12 <1.e-5){
+ printf(" Error sqrt of a negative number: %lf\n",1+(v1-lc1)*(v1-lc1)/cv12/cv12);
+ fprintf(ficlog," Error sqrt of a negative number: %lf\n",1+(v1-lc1)*(v1-lc1)/cv12/cv12);
+ v11=(1./sqrt(fabs(1+(v1-lc1)*(v1-lc1)/cv12/cv12)));
+ }else
+ v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
/*v21=sqrt(1.-v11*v11); *//* error */
v21=(lc1-v1)/cv12*v11;
v12=-v21;
@@ -6626,8 +6683,8 @@ To be simple, these graphs help to under
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not", \
- mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)), \
- mu2,std,v21,sqrt(lc1),v22,sqrt(fabs(lc2))); /* For gnuplot only */
+ mu1,std,v11,sqrt(fabs(lc1)),v12,sqrt(fabs(lc2)), \
+ mu2,std,v21,sqrt(fabs(lc1)),v22,sqrt(fabs(lc2))); /* For gnuplot only */
}else{
first=0;
fprintf(fichtmcov," %d (%.3f),",(int) age, c12);
@@ -6664,8 +6721,8 @@ void printinghtml(char fileresu[], char
int lastpass, int stepm, int weightopt, char model[],\
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
int popforecast, int mobilav, int prevfcast, int mobilavproj, int backcast, int estepm , \
- double jprev1, double mprev1,double anprev1, double dateprev1, \
- double jprev2, double mprev2,double anprev2, double dateprev2){
+ double jprev1, double mprev1,double anprev1, double dateprev1, double dateproj1, double dateback1, \
+ double jprev2, double mprev2,double anprev2, double dateprev2, double dateproj2, double dateback2){
int jj1, k1, i1, cpt, k4, nres;
fprintf(fichtm,"- Result files (first order: no variance)\n \
@@ -6819,15 +6876,18 @@ divided by h: hPij
if(prevfcast==1){
/* Projection of prevalence up to period (stable) prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){
- fprintf(fichtm,"
\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d) up to period (stable) prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). %s_%d-%d-%d.svg
\
-", dateprev1, dateprev2, mobilavproj, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
+ fprintf(fichtm,"
\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) prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). %s_%d-%d-%d.svg
\
+", dateprev1, dateprev2, mobilavproj, dateproj1, dateproj2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
}
}
if(backcast==1){
/* Back projection of prevalence up to stable (mixed) back-prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){
- fprintf(fichtm,"
\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d) up to stable (mixed) back prevalence in state %d. 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. %s_%d-%d-%d.svg
\
-", dateprev1, dateprev2, mobilavproj, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);
+ fprintf(fichtm,"
\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 \
+ 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. %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);
}
}
@@ -6957,6 +7017,20 @@ void printinggnuplot(char fileresu[], ch
/*#endif */
m=pow(2,cptcoveff);
+ /* diagram of the model */
+ fprintf(ficgp,"\n#Diagram of the model \n");
+ fprintf(ficgp,"\ndelta=0.03;delta2=0.07;unset arrow;\n");
+ fprintf(ficgp,"yoff=(%d > 2? 0:1);\n",nlstate);
+ fprintf(ficgp,"\n#Peripheral arrows\nset for [i=1:%d] for [j=1:%d] arrow i*10+j from cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.95*(cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) - cos(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta2:0)), -0.95*(sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) - sin(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d))+( i!=j?(i-j)/abs(i-j)*delta2:0)) ls (i < j? 1:2)\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate);
+
+ fprintf(ficgp,"\n#Centripete arrows (turning in other direction (1-i) instead of (i-1)) \nset for [i=1:%d] arrow (%d+1)*10+i from cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.80*(cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) ), -0.80*(sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) + yoff ) ls 4\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate);
+ fprintf(ficgp,"\n#show arrow\nunset label\n");
+ fprintf(ficgp,"\n#States labels, starting from 2 (2-i) instead of (1-i), was (i-1)\nset for [i=1:%d] label i sprintf(\"State %%d\",i) center at cos(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)), yoff+sin(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)) font \"helvetica, 16\" tc rgbcolor \"blue\"\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate);
+ fprintf(ficgp,"\nset label %d+1 sprintf(\"State %%d\",%d+1) center at 0.,0. font \"helvetica, 16\" tc rgbcolor \"red\"\n",nlstate,nlstate);
+ fprintf(ficgp,"\n#show label\nunset border;unset xtics; unset ytics;\n");
+ fprintf(ficgp,"\n\nset ter svg size 640, 480;set out \"%s_.svg\" \n",subdirf2(optionfilefiname,"D_"));
+ fprintf(ficgp,"unset log y; plot [-1.2:1.2][yoff-1.2:1.2] 1/0 not; set out;reset;\n");
+
/* Contribution to likelihood */
/* Plot the probability implied in the likelihood */
fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n");
@@ -7026,7 +7100,8 @@ void printinggnuplot(char fileresu[], ch
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres);
- fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
+ /* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */
+ fprintf(ficgp,"set title \"Alive state %d %s\" font \"Helvetica,12\"\n",cpt,gplotlabel);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */
/* k1-1 error should be nres-1*/
@@ -7111,15 +7186,16 @@ void printinggnuplot(char fileresu[], ch
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"95%% CI\" w l lt 5,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres);
+ fprintf(ficgp,"\" t\"95%% CI\" w l lt 4,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres);
for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%*lf (%%*lf)");
}
- fprintf(ficgp,"\" t\"\" w l lt 5");
+ fprintf(ficgp,"\" t\"\" w l lt 4");
} /* end if backprojcast */
} /* end if backcast */
- fprintf(ficgp,"\nset out ;unset label;\n");
+ /* fprintf(ficgp,"\nset out ;unset label;\n"); */
+ fprintf(ficgp,"\nset out ;unset title;\n");
} /* nres */
} /* k1 */
} /* cpt */
@@ -7733,7 +7809,7 @@ set ter svg size 640, 480\nunset log y\n
continue;
fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1);
strcpy(gplotlabel,"(");
- sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);
+ /*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
@@ -7750,7 +7826,9 @@ set ter svg size 640, 480\nunset log y\n
strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres);
- fprintf(ficgp,"\nset label \"%s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel);
+ fprintf(ficgp,"\nset key outside ");
+ /* fprintf(ficgp,"\nset label \"%s\" at graph 1.2,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel); */
+ fprintf(ficgp,"\nset title \"%s\" font \"Helvetica,12\"\n",gplotlabel);
fprintf(ficgp,"\nset ter svg size 640, 480 ");
if (ng==1){
fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */
@@ -7870,12 +7948,12 @@ set ter svg size 640, 480\nunset log y\n
}
fprintf(ficgp,")");
if(ng ==2)
- fprintf(ficgp," t \"p%d%d\" ", k2,k);
+ fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);
else /* ng= 3 */
- fprintf(ficgp," t \"i%d%d\" ", k2,k);
+ fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);
}else{ /* end ng <> 1 */
if( k !=k2) /* logit p11 is hard to draw */
- fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k);
+ fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);
}
if ((k+k2)!= (nlstate*2+ndeath) && ng != 1)
fprintf(ficgp,",");
@@ -7884,7 +7962,8 @@ set ter svg size 640, 480\nunset log y\n
i=i+ncovmodel;
} /* end k */
} /* end k2 */
- fprintf(ficgp,"\n set out; unset label;\n");
+ /* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */
+ fprintf(ficgp,"\n set out; unset title;set key default;\n");
} /* end k1 */
} /* end ng */
/* avoid: */
@@ -7908,8 +7987,8 @@ set ter svg size 640, 480\nunset log y\n
double *agemingoodr, *agemaxgoodr;
- /* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */
- /* a covariate has 2 modalities, should be equal to ncovcombmax *\/ */
+ /* modcovmax=2*cptcoveff; Max number of modalities. We suppose */
+ /* a covariate has 2 modalities, should be equal to ncovcombmax */
sumnewp = vector(1,ncovcombmax);
sumnewm = vector(1,ncovcombmax);
@@ -8233,11 +8312,11 @@ set ter svg size 640, 480\nunset log y\n
for(j=1; j<=nlstate+ndeath;j++) {
ppij=0.;
for(i=1; i<=nlstate;i++) {
- /* if (mobilav>=1) */
- ppij=ppij+p3mat[i][j][h]*prev[(int)agec][i][k];
- /* else { */ /* even if mobilav==-1 we use mobaverage */
- /* ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; */
- /* } */
+ if (mobilav>=1)
+ ppij=ppij+p3mat[i][j][h]*prev[(int)agec][i][k];
+ else { /* even if mobilav==-1 we use mobaverage, probs may not sums to 1 */
+ ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k];
+ }
fprintf(ficresf," %.3f", p3mat[i][j][h]);
} /* end i */
fprintf(ficresf," %.3f", ppij);
@@ -8351,7 +8430,7 @@ set ter svg size 640, 480\nunset log y\n
/* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { */
fprintf(ficresfb,"\n");
fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp);
- printf("\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp);
+ /* printf("\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); */
/* for (agec=bage; agec<=agemax-1; agec++){ /\* testing *\/ */
for (agec=bage; agec<=fage; agec++){ /* testing */
/* We compute bij at age agec over nhstepm, nhstepm decreases when agec increases because of agemax;*/
@@ -10579,7 +10658,9 @@ int main(int argc, char *argv[])
int vpopbased=0;
int nres=0;
int endishere=0;
-
+ int noffset=0;
+ int ncurrv=0; /* Temporary variable */
+
char ca[32], cb[32];
/* FILE *fichtm; *//* Html File */
/* FILE *ficgp;*/ /*Gnuplot File */
@@ -10634,8 +10715,9 @@ int main(int argc, char *argv[])
double *epj, vepp;
- double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
- double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000;
+ double dateprev1, dateprev2;
+ double jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000, dateproj1=0, dateproj2=0;
+ double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000, dateback1=0, dateback2=0;
double **ximort;
char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
@@ -10802,17 +10884,52 @@ int main(int argc, char *argv[])
fflush(ficlog);
goto end;
}
+ /*-------- Rewriting parameter file ----------*/
+ strcpy(rfileres,"r"); /* "Rparameterfile */
+ strcat(rfileres,optionfilefiname); /* Parameter file first name */
+ strcat(rfileres,"."); /* */
+ strcat(rfileres,optionfilext); /* Other files have txt extension */
+ if((ficres =fopen(rfileres,"w"))==NULL) {
+ printf("Problem writing new parameter file: %s\n", rfileres);goto end;
+ fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end;
+ fflush(ficlog);
+ goto end;
+ }
+ fprintf(ficres,"#IMaCh %s\n",version);
+
/* Reads comments: lines beginning with '#' */
numlinepar=0;
-
- /* First parameter line */
+ /* Is it a BOM UTF-8 Windows file? */
+ /* First parameter line */
while(fgets(line, MAXLINE, ficpar)) {
+ noffset=0;
+ if( line[0] == (char)0xEF && line[1] == (char)0xBB) /* EF BB BF */
+ {
+ noffset=noffset+3;
+ printf("# File is an UTF8 Bom.\n"); // 0xBF
+ }
+ else if( line[0] == (char)0xFE && line[1] == (char)0xFF)
+ {
+ noffset=noffset+2;
+ printf("# File is an UTF16BE BOM file\n");
+ }
+ else if( line[0] == 0 && line[1] == 0)
+ {
+ if( line[2] == (char)0xFE && line[3] == (char)0xFF){
+ noffset=noffset+4;
+ printf("# File is an UTF16BE BOM file\n");
+ }
+ } else{
+ ;/*printf(" Not a BOM file\n");*/
+ }
+
/* If line starts with a # it is a comment */
- if (line[0] == '#') {
+ if (line[noffset] == '#') {
numlinepar++;
fputs(line,stdout);
fputs(line,ficparo);
+ fputs(line,ficres);
fputs(line,ficlog);
continue;
}else
@@ -10833,6 +10950,7 @@ int main(int argc, char *argv[])
numlinepar++;
fputs(line,stdout);
fputs(line,ficparo);
+ fputs(line,ficres);
fputs(line,ficlog);
continue;
}else
@@ -10855,20 +10973,16 @@ int main(int argc, char *argv[])
numlinepar++;
fputs(line,stdout);
fputs(line,ficparo);
+ fputs(line,ficres);
fputs(line,ficlog);
continue;
}else
break;
}
if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){
- if (num_filled == 0){
- printf("ERROR %d: Model should be at minimum 'model=1+age.' WITHOUT space:'%s'\n",num_filled, line);
- fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' WITHOUT space:'%s'\n",num_filled, line);
- model[0]='\0';
- goto end;
- } else if (num_filled != 1){
- printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
- fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
+ if (num_filled != 1){
+ printf("ERROR %d: Model should be at minimum 'model=1+age' %s\n",num_filled, line);
+ fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age' %s\n",num_filled, line);
model[0]='\0';
goto end;
}
@@ -10890,11 +11004,11 @@ int main(int argc, char *argv[])
fflush(ficlog);
/* if(model[0]=='#'|| model[0]== '\0'){ */
if(model[0]=='#'){
- printf("Error in 'model' line: model should start with 'model=1+age+' and end with '.' \n \
- 'model=1+age+.' or 'model=1+age+V1.' or 'model=1+age+age*age+V1+V1*age.' or \n \
- 'model=1+age+V1+V2.' or 'model=1+age+V1+V2+V1*V2.' etc. \n"); \
+ printf("Error in 'model' line: model should start with 'model=1+age+' and end without space \n \
+ 'model=1+age+' or 'model=1+age+V1.' or 'model=1+age+age*age+V1+V1*age' or \n \
+ 'model=1+age+V1+V2' or 'model=1+age+V1+V2+V1*V2' etc. \n"); \
if(mle != -1){
- printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter file.\n");
+ printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter vectors and subdiagonal covariance matrix.\n");
exit(1);
}
}
@@ -11116,16 +11230,6 @@ Please run with mle=-1 to get a correct
fflush(ficlog);
- /*-------- Rewriting parameter file ----------*/
- strcpy(rfileres,"r"); /* "Rparameterfile */
- strcat(rfileres,optionfilefiname); /* Parameter file first name*/
- strcat(rfileres,"."); /* */
- strcat(rfileres,optionfilext); /* Other files have txt extension */
- if((ficres =fopen(rfileres,"w"))==NULL) {
- printf("Problem writing new parameter file: %s\n", rfileres);goto end;
- fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end;
- }
- fprintf(ficres,"#%s\n",version);
} /* End of mle != -3 */
/* Main data
@@ -11463,10 +11567,31 @@ Title=%s
Datafile=%s Firstpass=%d La
firstpass, lastpass, stepm, weightopt, model);
fprintf(fichtm,"\n");
- fprintf(fichtm,"
Total number of observations=%d
\n\
+ fprintf(fichtm,"Parameter line 2
- Tolerance for the convergence of the likelihood: ftol=%f \n
- Interval for the elementary matrix (in month): stepm=%d",\
+ ftol, stepm);
+ fprintf(fichtm,"\n
- Number of fixed dummy covariates: ncovcol=%d ", ncovcol);
+ ncurrv=1;
+ for(i=ncurrv; i <=ncovcol; i++) fprintf(fichtm,"V%d ", i);
+ fprintf(fichtm,"\n
- Number of fixed quantitative variables: nqv=%d ", nqv);
+ ncurrv=i;
+ for(i=ncurrv; i <=ncurrv-1+nqv; i++) fprintf(fichtm,"V%d ", i);
+ fprintf(fichtm,"\n
- Number of time varying (wave varying) covariates: ntv=%d ", ntv);
+ ncurrv=i;
+ for(i=ncurrv; i <=ncurrv-1+ntv; i++) fprintf(fichtm,"V%d ", i);
+ fprintf(fichtm,"\n
- Number of quantitative time varying covariates: nqtv=%d ", nqtv);
+ ncurrv=i;
+ for(i=ncurrv; i <=ncurrv-1+nqtv; i++) fprintf(fichtm,"V%d ", i);
+ fprintf(fichtm,"\n
- Weights column \n
Number of alive states: nlstate=%d
Number of death states (not really implemented): ndeath=%d \n - Number of waves: maxwav=%d \n
- Parameter for maximization (1), using parameter values (0), for design of parameters and variance-covariance matrix: mle=%d \n
- Does the weight column be taken into account (1), or not (0): weight=%d
\n", \
+ nlstate, ndeath, maxwav, mle, weightopt);
+
+ fprintf(fichtm," Diagram of states %s_.svg
\n\
+", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"));
+
+
+ fprintf(fichtm,"\nSome descriptive statistics
\n
Total number of observations=%d
\n\
Youngest age at first (selected) pass %.2f, oldest age %.2f
\n\
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf
\n",\
- imx,agemin,agemax,jmin,jmax,jmean);
+ imx,agemin,agemax,jmin,jmax,jmean);
pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
@@ -12026,6 +12151,9 @@ Please run with mle=-1 to get a correct
fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
/* day and month of proj2 are not used but only year anproj2.*/
+ dateproj1=anproj1+(mproj1-1)/12.+(jproj1-1)/365.;
+ dateproj2=anproj2+(mproj2-1)/12.+(jproj2-1)/365.;
+
}
break;
case 12:
@@ -12041,6 +12169,8 @@ Please run with mle=-1 to get a correct
fprintf(ficlog,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
fprintf(ficres,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
/* day and month of proj2 are not used but only year anproj2.*/
+ dateback1=anback1+(mback1-1)/12.+(jback1-1)/365.;
+ dateback2=anback2+(mback2-1)/12.+(jback2-1)/365.;
}
break;
case 13:
@@ -12096,7 +12226,7 @@ Please run with mle=-1 to get a correct
}
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \
model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,backcast, estepm, \
- jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2);
+ jprev1,mprev1,anprev1,dateprev1, dateproj1, dateback1,jprev2,mprev2,anprev2,dateprev2,dateproj2, dateback2);
/*------------ free_vector -------------*/
/* chdir(path); */