From be94f32541bd1a0058ccc9e867a9d0a29ec354b5 Mon Sep 17 00:00:00 2001 From: "N. Brouard" Date: Mon, 8 May 2023 18:48:22 +0000 Subject: [PATCH] *** empty log message *** --- src/ChangeLog | 4 ++++ src/imach.c | 12 ++++++++---- 2 files changed, 12 insertions(+), 4 deletions(-) diff --git a/src/ChangeLog b/src/ChangeLog index aff98bc..ad708fa 100644 --- a/src/ChangeLog +++ b/src/ChangeLog @@ -1,3 +1,7 @@ +2023-05-08 Nicolas Brouard + + * (Module): Error V0 when result:. and model 1+age+V1: fixed + 2023-04-29 Nicolas Brouard * imach.c (Module): Inverting the model equation and fixingg bugs diff --git a/src/imach.c b/src/imach.c index 5187d71..bf41793 100644 --- a/src/imach.c +++ b/src/imach.c @@ -1,6 +1,9 @@ /* $Id$ $State$ $Log$ + Revision 1.352 2023/04/29 10:46:21 brouard + *** empty log message *** + Revision 1.351 2023/04/29 10:43:47 brouard Summary: 099r45 @@ -11119,14 +11122,15 @@ int decoderesult( char resultline[], int nres) if (strlen(resultsav) >1){ j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' in this resultline */ } - if(j == 0){ /* Resultline but no = */ + if(j == 0 && cptcovs== 0){ /* Resultline but no = and no covariate in the model */ TKresult[nres]=0; /* Combination for the nresult and the model */ return (0); } if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */ - printf("ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model); - fprintf(ficlog,"ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model); - /* return 1;*/ + fprintf(ficlog,"ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, 1+age+%s.\n",j, cptcovs, model);fflush(ficlog); + printf("ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, 1+age+%s.\n",j, cptcovs, model);fflush(stdout); + if(j==0) + return 1; } for(k=1; k<=j;k++){ /* Loop on any covariate of the RESULT LINE */ if(nbocc(resultsav,'=') >1){ -- 2.43.0