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📄 xzero.c

📁 an analysis software with souce code for the time series with methods based on the theory of nonline
💻 C
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/*Author: Rainer Hegger. Last modified: Sep 4, 1999 */#include <stdio.h>#include <stdlib.h>#include <string.h>#include <limits.h>#include "routines/tsa.h"#define WID_STR "Estimates the average cross forecast error for a zeroth\n\t\order fit between two series given as two columns of one file."#ifndef _MATH_H#include <math.h>#endif/*number of boxes for the neighbor search algorithm*/#define NMAX 128unsigned int nmax=(NMAX-1);long **box,*list;unsigned long *found;double *series1,*series2;double interval,min,epsilon;char epsset=0;char *infile=NULL;char *outfile=NULL,stdo=1;char *COLUMNS=NULL;unsigned int DIM=3,DELAY=1;unsigned int verbosity=0xff;int MINN=30,STEP=1;double EPS0=1.e-3,EPSF=1.2;unsigned long LENGTH=ULONG_MAX,exclude=0,CLENGTH=ULONG_MAX;void show_options(char *progname){  what_i_do(progname,WID_STR);  fprintf(stderr," Usage: %s [options]\n",progname);  fprintf(stderr," Options:\n");  fprintf(stderr,"Everything not being a valid option will be interpreted"          " as a possible"          " datafile.\nIf no datafile is given stdin is read. Just - also"          " means stdin\n");  fprintf(stderr,"\t-l # of data to use [default: whole file]\n");  fprintf(stderr,"\t-x # of lines to be ignored [default: 0]\n");  fprintf(stderr,"\t-c columns to read [default: 1,2]\n");  fprintf(stderr,"\t-m embedding dimension [default: 3]\n");  fprintf(stderr,"\t-d delay [default: 1]\n");  fprintf(stderr,"\t-n # of reference points [default: length]\n");  fprintf(stderr,"\t-k minimal number of neighbors for the fit "	  "[default: 30]\n");  fprintf(stderr,"\t-r neighborhoud size to start with "	  "[default: (data interval)/1000]\n");  fprintf(stderr,"\t-f factor to increase size [default: 1.2]\n");  fprintf(stderr,"\t-s steps to forecast [default: 1]\n");  fprintf(stderr,"\t-o output file [default: 'datafile.cze',"	  " without -o: stdout]\n");  fprintf(stderr,"\t-V verbosity level [default: 1]\n\t\t"          "0='only panic messages'\n\t\t"          "1='+ input/output messages'\n");  fprintf(stderr,"\t-h show these options\n");  exit(0);}void scan_options(int n,char **in){  char *out;  if ((out=check_option(in,n,'l','u')) != NULL)    sscanf(out,"%lu",&LENGTH);  if ((out=check_option(in,n,'x','u')) != NULL)    sscanf(out,"%lu",&exclude);  if ((out=check_option(in,n,'c','s')) != NULL)    COLUMNS=out;  if ((out=check_option(in,n,'m','u')) != NULL)    sscanf(out,"%u",&DIM);  if ((out=check_option(in,n,'d','u')) != NULL)    sscanf(out,"%u",&DELAY);  if ((out=check_option(in,n,'n','u')) != NULL)    sscanf(out,"%lu",&CLENGTH);  if ((out=check_option(in,n,'k','u')) != NULL)    sscanf(out,"%u",&MINN);  if ((out=check_option(in,n,'r','f')) != NULL) {    epsset=1;    sscanf(out,"%lf",&EPS0);  }  if ((out=check_option(in,n,'f','f')) != NULL)    sscanf(out,"%lf",&EPSF);  if ((out=check_option(in,n,'s','u')) != NULL)    sscanf(out,"%u",&STEP);  if ((out=check_option(in,n,'V','u')) != NULL)    sscanf(out,"%u",&verbosity);  if ((out=check_option(in,n,'o','o')) != NULL) {    stdo=0;    if (strlen(out) > 0)      outfile=out;  }}double make_fit(unsigned long act,unsigned long number,unsigned long istep){  double casted=0.0;  int i;    for (i=0;i<number;i++)    casted += series1[found[i]+istep];  casted /= number;  return (casted-series2[act+istep])*(casted-series2[act+istep]);}int main(int argc,char **argv){  char stdi=0;  char alldone,*done;  unsigned long i,j,actfound;  unsigned long clength;  unsigned int dummy=2;  double rms2,av2,*error;  double **both,hinter;  FILE *file;  if (scan_help(argc,argv))    show_options(argv[0]);    scan_options(argc,argv);#ifndef OMIT_WHAT_I_DO  if (verbosity&VER_INPUT)    what_i_do(argv[0],WID_STR);#endif  infile=search_datafile(argc,argv,0L,verbosity);  if (infile == NULL)    stdi=1;  if (outfile == NULL) {    if (!stdi) {      check_alloc(outfile=(char*)calloc(strlen(infile)+5,(size_t)1));      sprintf(outfile,"%s.cze",infile);    }    else {      check_alloc(outfile=(char*)calloc((size_t)10,(size_t)1));      sprintf(outfile,"stdin.cze");    }  }  if (!stdo)    test_outfile(outfile);  if (COLUMNS == NULL)    both=(double**)get_multi_series(infile,&LENGTH,exclude,&dummy,"",				    (char)1,verbosity);  else    both=(double**)get_multi_series(infile,&LENGTH,exclude,&dummy,COLUMNS,				    (char)0,verbosity);  series1=both[0];  series2=both[1];  rescale_data(series1,LENGTH,&min,&hinter);  interval=hinter;  rescale_data(series2,LENGTH,&min,&hinter);  interval=(interval+hinter)/2.0;  variance(series2,LENGTH,&av2,&rms2);    check_alloc(list=(long*)malloc(sizeof(long)*LENGTH));  check_alloc(found=(unsigned long*)malloc(sizeof(long)*LENGTH));  check_alloc(done=(char*)malloc(sizeof(char)*LENGTH));  check_alloc(box=(long**)malloc(sizeof(long*)*NMAX));  check_alloc(error=(double*)malloc(sizeof(double)*STEP));  for (i=0;i<STEP;i++)    error[i]=0.0;  for (i=0;i<NMAX;i++)    check_alloc(box[i]=(long*)malloc(sizeof(long)*NMAX));      for (i=0;i<LENGTH;i++)    done[i]=0;  alldone=0;  if (epsset)    EPS0 /= interval;  epsilon=EPS0/EPSF;  clength=(CLENGTH <= LENGTH) ? CLENGTH-STEP : LENGTH-STEP;  while (!alldone) {    alldone=1;    epsilon*=EPSF;    make_box(series1,box,list,LENGTH-STEP,NMAX,DIM,DELAY,epsilon);    for (i=(DIM-1)*DELAY;i<clength;i++)      if (!done[i]) {	actfound=find_neighbors(series1,box,list,series2+i,LENGTH,NMAX,				DIM,DELAY,epsilon,found);	if (actfound >= MINN) {	  for (j=1;j<=STEP;j++)	    error[j-1] += make_fit(i,actfound,j);	  done[i]=1;	}	alldone &= done[i];      }  }  if (stdo) {    if (verbosity&VER_INPUT)      fprintf(stderr,"Writing to stdout\n");    for (i=0;i<STEP;i++)      fprintf(stdout,"%lu %e\n",i+1,	      sqrt(error[i]/(clength-(DIM-1)*DELAY))/rms2);  }  else {    file=fopen(outfile,"w");    if (verbosity&VER_INPUT)      fprintf(stderr,"Opened %s for writing\n",outfile);    for (i=0;i<STEP;i++)      fprintf(file,"%lu %e\n",i+1,	      sqrt(error[i]/(clength-(DIM-1)*DELAY))/rms2);    fclose(file);  }    return 0;}

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