version 1.7, 2000/06/30 21:36:16
|
version 1.11, 2000/09/14 20:25:12
|
Line 2
|
Line 2
|
Copyright (C) 1992-2000 Michigan State University |
Copyright (C) 1992-2000 Michigan State University |
|
|
The CAPA system is free software; you can redistribute it and/or |
The CAPA system is free software; you can redistribute it and/or |
modify it under the terms of the GNU Library General Public License as |
modify it under the terms of the GNU General Public License as |
published by the Free Software Foundation; either version 2 of the |
published by the Free Software Foundation; either version 2 of the |
License, or (at your option) any later version. |
License, or (at your option) any later version. |
|
|
The CAPA system is distributed in the hope that it will be useful, |
The CAPA system is distributed in the hope that it will be useful, |
but WITHOUT ANY WARRANTY; without even the implied warranty of |
but WITHOUT ANY WARRANTY; without even the implied warranty of |
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
Library General Public License for more details. |
General Public License for more details. |
|
|
You should have received a copy of the GNU Library General Public |
You should have received a copy of the GNU General Public |
License along with the CAPA system; see the file COPYING. If not, |
License along with the CAPA system; see the file COPYING. If not, |
write to the Free Software Foundation, Inc., 59 Temple Place - Suite 330, |
write to the Free Software Foundation, Inc., 59 Temple Place - Suite 330, |
Boston, MA 02111-1307, USA. */ |
Boston, MA 02111-1307, USA. |
|
|
|
As a special exception, you have permission to link this program |
|
with the TtH/TtM library and distribute executables, as long as you |
|
follow the requirements of the GNU GPL in regard to all of the |
|
software in the executable aside from TtH/TtM. |
|
*/ |
|
|
/* =||>>================================================================<<||= */ |
/* =||>>================================================================<<||= */ |
/* 45678901234567890123456789012345678901234567890123456789012345678901234567 */ |
/* 45678901234567890123456789012345678901234567890123456789012345678901234567 */ |
/* copyrighted by Isaac Tsai, 1996, 1997, 1998, 1999, 2000 */ |
/* by Isaac Tsai, 1996, 1997, 1998, 1999, 2000 */ |
/* =||>>================================================================<<||= */ |
/* =||>>================================================================<<||= */ |
|
|
#include <stdlib.h> |
#include <stdlib.h> |
Line 60 match_function(func, argc) char *func; i
|
Line 66 match_function(func, argc) char *func; i
|
{ |
{ |
if( !strcmp(func,"random") ) return (((argc==2 || argc==3)? RANDOM_F : MIS_ARG_COUNT)); |
if( !strcmp(func,"random") ) return (((argc==2 || argc==3)? RANDOM_F : MIS_ARG_COUNT)); |
if( !strcmp(func,"random_normal") ) return ((argc==5)? RANDOM_NORMAL_F : MIS_ARG_COUNT); |
if( !strcmp(func,"random_normal") ) return ((argc==5)? RANDOM_NORMAL_F : MIS_ARG_COUNT); |
|
if( !strcmp(func,"random_multivariate_normal") ) return ((argc==6)? RANDOM_MULTIVARIATE_NORMAL_F : MIS_ARG_COUNT); |
if( !strcmp(func,"random_beta") ) return ((argc==5)? RANDOM_BETA_F : MIS_ARG_COUNT); |
if( !strcmp(func,"random_beta") ) return ((argc==5)? RANDOM_BETA_F : MIS_ARG_COUNT); |
if( !strcmp(func,"random_gamma") ) return ((argc==5)? RANDOM_GAMMA_F : MIS_ARG_COUNT); |
if( !strcmp(func,"random_gamma") ) return ((argc==5)? RANDOM_GAMMA_F : MIS_ARG_COUNT); |
if( !strcmp(func,"random_poisson") ) return ((argc==4)? RANDOM_POISSON_F : MIS_ARG_COUNT); |
if( !strcmp(func,"random_poisson") ) return ((argc==4)? RANDOM_POISSON_F : MIS_ARG_COUNT); |
Line 777 ArgNode_t *argp;
|
Line 784 ArgNode_t *argp;
|
resultp->s_int = 0; |
resultp->s_int = 0; |
} break; |
} break; |
/* generate random numbers according to a pre-defined distributions and a seed */ |
/* generate random numbers according to a pre-defined distributions and a seed */ |
|
case RANDOM_MULTIVARIATE_NORMAL_F: |
|
/* random_multivariate_normal(return_array,item_cnt,seed,dimen,mean_vector,covariance_vector) */ |
|
/* the dimension of both mean_vector and covariance_vector should be the same as item_cnt */ |
|
/* It will return item_cnt numbers in standard normal deviate in return_array */ |
|
/* item_cnt, seed, dimen, mean_vec, cov_vec |
|
are all destroyed after this function !!!*/ |
|
{ char *mean_vec_str, *cov_vec_str, *seed_str, *out_vec_str; |
|
int dimen, item_cnt, tmp_int; |
|
long tmp_long; |
|
Symbol *r_p; |
|
|
|
errCode = 0; |
|
switch( FIRST_ARGTYPE(argp) ) { /* parameter one covariance_matrix of size dimen*dimen */ |
|
case I_VAR: case I_CONSTANT: |
|
case R_VAR: case R_CONSTANT: |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<LAST ARG. OF THIS FUNCTION MUST BE AN ARRAY NAME>>"); |
|
sprintf(tmpS,"%s()'s last arg. must be an array name.\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
break; |
|
case S_VAR: case S_CONSTANT: |
|
cov_vec_str = strsave( FIRST_ARGSTR(argp) ); |
|
break; |
|
case IDENTIFIER: |
|
cov_vec_str = strsave( FIRST_ARGNAME(argp) ); |
|
/* |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<LAST ARG. OF THIS FUNCTION MUST BE AN ARRAY WITH DATA>>"); |
|
sprintf(tmpS,"%s()'s last arg. must be an array with data (covariance array).\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
*/ |
|
break; |
|
} |
|
if(errCode == 0) { |
|
switch( SECOND_ARGTYPE(argp) ) { /* parameter two mean_vector */ |
|
case I_VAR: case I_CONSTANT: |
|
case R_VAR: case R_CONSTANT: |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<THE FIFTH ARG. OF THIS FUNCTION MUST BE AN ARRAY NAME>>"); |
|
sprintf(tmpS,"%s()'s fifth arg. must be an array name.\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
break; |
|
case S_VAR: case S_CONSTANT: |
|
mean_vec_str = SECOND_ARGSTR(argp); |
|
break; |
|
case IDENTIFIER: |
|
mean_vec_str = SECOND_ARGNAME(argp); |
|
/* |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<THE FIFTH ARG. OF THIS FUNCTION MUST BE AN ARRAY WITH DATA>>"); |
|
sprintf(tmpS,"%s()'s fifth arg. must be an array with data (mean array).\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
*/ |
|
break; |
|
} |
|
if(errCode == 0 ) { |
|
switch( THIRD_ARGTYPE(argp) ) { /* parameter three dimen */ |
|
case I_VAR: case I_CONSTANT: |
|
dimen = THIRD_ARGINT(argp); |
|
break; |
|
case R_VAR: case R_CONSTANT: |
|
dimen = (int)THIRD_ARGREAL(argp); |
|
break; |
|
case S_VAR: case S_CONSTANT: |
|
case IDENTIFIER: |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<THE FOURTH ARG. OF THIS FUNCTION MUST BE A NUMBER>>"); |
|
sprintf(tmpS,"%s()'s fourth arg. must be a number.\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
break; |
|
} |
|
if(errCode == 0 ) { /* parameter four seed */ |
|
switch( FOURTH_ARGTYPE(argp) ) { /* seed */ |
|
case I_VAR: case I_CONSTANT: |
|
seed_str = (char *)capa_malloc(32,1); |
|
sprintf(seed_str,"%ld",FOURTH_ARGINT(argp) ); |
|
break; |
|
case R_VAR: case R_CONSTANT: |
|
tmp_long = (long)FOURTH_ARGREAL(argp); |
|
seed_str = (char *)capa_malloc(32,1); |
|
sprintf(seed_str,"%ld",tmp_long); |
|
break; |
|
case S_VAR: case S_CONSTANT: |
|
seed_str = strsave(FOURTH_ARGSTR(argp)); |
|
break; |
|
case IDENTIFIER: |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<THIRD ARG. OF THIS FUNCTION MUST BE A NUMBER OR STRING>>"); |
|
sprintf(tmpS,"%s()'s third arg. must be a number or a string.\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
break; |
|
} |
|
if(errCode == 0 ) { |
|
switch( FIFTH_ARGTYPE(argp) ) { /* parameter five item_cnt */ |
|
case I_VAR: case I_CONSTANT: |
|
item_cnt = FIFTH_ARGINT(argp); |
|
break; |
|
case R_VAR: case R_CONSTANT: |
|
item_cnt = (int)FIFTH_ARGREAL(argp); |
|
break; |
|
case S_VAR: case S_CONSTANT: |
|
case IDENTIFIER: |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<SECOND ARG. OF THIS FUNCTION MUST BE A NUMBER>>"); |
|
sprintf(tmpS,"%s()'s second arg. must be a number.\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
break; |
|
} |
|
if(errCode == 0 ) { /* array_name, clear the content of this array first */ |
|
switch( SIXTH_ARGTYPE(argp) ) { |
|
case I_VAR: case I_CONSTANT: |
|
case R_VAR: case R_CONSTANT: |
|
resultp->s_type = S_CONSTANT; |
|
resultp->s_str = strsave("<<FIRST ARG. OF THIS FUNCTION MUST BE AN ARRAY NAME>>"); |
|
sprintf(tmpS,"%s()'s first arg. must be a name of an array.\n",FuncStack[Func_idx].s_name); |
|
capa_msg(MESSAGE_ERROR,tmpS); |
|
errCode = 1; |
|
break; |
|
case S_VAR: case S_CONSTANT: |
|
tmp_int = free_array(SIXTH_ARGSTR(argp)); |
|
|
|
out_vec_str= strsave(SIXTH_ARGSTR(argp)); |
|
break; |
|
case IDENTIFIER: |
|
tmp_int = free_array(SIXTH_ARGNAME(argp)); |
|
|
|
out_vec_str= strsave(SIXTH_ARGNAME(argp)); |
|
|
|
break; |
|
} /* send switch */ |
|
} /* end if array_name check */ |
|
} /* end if (item_cnt) check */ |
|
} /* end if (seed) check */ |
|
} /* end if (dimen) check */ |
|
} /* end if (mean_vector) check */ |
|
if(errCode == 0 ) { /* all the parameter checks OK */ |
|
r_p = gen_multivariate_normal(out_vec_str,seed_str,item_cnt,dimen,mean_vec_str,cov_vec_str); |
|
capa_mfree((char *)resultp); |
|
resultp = r_p; |
|
|
|
} |
|
if( out_vec_str != NULL ) capa_mfree((char *)out_vec_str); |
|
if( seed_str != NULL ) capa_mfree((char *)seed_str); |
|
if( mean_vec_str != NULL ) capa_mfree((char *)mean_vec_str); |
|
if( cov_vec_str != NULL ) capa_mfree((char *)cov_vec_str); |
|
|
|
} break; |
case RANDOM_NORMAL_F: /* random_normal(return_array,item_cnt,seed,av,std_dev) */ |
case RANDOM_NORMAL_F: /* random_normal(return_array,item_cnt,seed,av,std_dev) */ |
case RANDOM_BETA_F: /* random_beta(return_array,item_cnt,seed,aa,bb) */ |
case RANDOM_BETA_F: /* random_beta(return_array,item_cnt,seed,aa,bb) */ |
case RANDOM_GAMMA_F: /* random_gamma(return_array,item_cnt,seed,a,r) */ |
case RANDOM_GAMMA_F: /* random_gamma(return_array,item_cnt,seed,a,r) */ |