#ifndef lint static const char RCSid[] = "$Id: muc_randvar.c,v 2.1 2016/07/14 17:32:12 greg Exp $"; #endif #include #include #include "fvect.h" #include "muc_randvar.h" int muc_rvar_init(struct muc_rvar* rv) { rv->n = 0; rv->w = 0.0; if (!(rv->samples = g3fl_create(1))) return 0; rv->sum = NULL; rv->sum_sqr = NULL; rv->min = NULL; rv->max = NULL; rv->save_samp = 1; return muc_rvar_set_dim(rv,1); } struct muc_rvar* muc_rvar_create() { struct muc_rvar* res; if (!(res = (struct muc_rvar*) malloc(sizeof(struct muc_rvar)))) return NULL; if (!(muc_rvar_init(res))) { free(res); return NULL; } return res; } void muc_rvar_free(struct muc_rvar* rv) { free(rv->sum); free(rv->sum_sqr); free(rv->min); free(rv->max); g3fl_free(rv->samples); free(rv); } int muc_rvar_set_dim(struct muc_rvar* rv,int dim) { if (rv->n != 0) { fprintf(stderr,"muc_rvar_set_dim: variable not cleared\n"); return 0; } if (!(rv->sum = realloc(rv->sum,dim*sizeof(double)))) return 0; if (!(rv->sum_sqr = realloc(rv->sum_sqr,dim*sizeof(double)))) return 0; if (!(rv->min = realloc(rv->min,dim*sizeof(double)))) return 0; if (!(rv->max = realloc(rv->max,dim*sizeof(double)))) return 0; rv->samples->comp_size = dim; muc_rvar_clear(rv); return 1; } void muc_rvar_clear(struct muc_rvar* rv) { int i; rv->samples->size=0; rv->w = 0.0; rv->n = 0; for(i=0;isum[i] = 0.0; rv->sum_sqr[i] = 0.0; rv->min[i] = FHUGE; rv->max[i] = -FHUGE; } } void muc_rvar_no_samples(struct muc_rvar* rv) { rv->samples->size = 0; rv->save_samp = 0; } int muc_rvar_store_sample(struct muc_rvar* rv, int on) { if (rv->n != 0) { fprintf(stderr,"muc_rvar_store_sample: clear samples first\n"); return 0; } rv->save_samp = on; return 1; } int muc_rvar_add_sample(struct muc_rvar* rv,double* s) { return muc_rvar_add_weighted_sample(rv,1.0,s); } int muc_rvar_add_weighted_sample(struct muc_rvar* rv,double w,double* s) { int i; double val; if (rv->save_samp) if (!(g3fl_append(rv->samples,s))) return 0; for(i=0;isum[i] += val; rv->sum_sqr[i] += s[i]*s[i]*w; if (rv->min[i] > val) rv->min[i] = val; if (rv->max[i] < val) rv->max[i] = val; } rv->w += w; rv->n++; return 1; } int muc_rvar_get_vx(struct muc_rvar* rv,double* vx) { int i; double ex,ex2; if (rv->w == 0.0) { return 0; } for(i=0;isum[i]/rv->w; ex2 = rv->sum_sqr[i]/rv->w; vx[i] = ex2 - ex*ex; } return 1; } int muc_rvar_get_ex(struct muc_rvar* rv,double* ex) { int i; if (rv->w == 0.0) { return 0; } for(i=0;isum[i]/rv->w; } return 1; } int muc_rvar_get_sum(struct muc_rvar* rv,double* sum2) { int i; for(i=0;isum[i]; } return 1; } int muc_rvar_get_median(struct muc_rvar* rv, double* median) { double val; int i; if (!(rv->save_samp)) { fprintf(stderr,"muc_rvar_get_median: samples are not stored\n"); return 0; } for(i=0;isamples, i); val = g3fl_get(rv->samples, rv->n/2)[i]; if (rv->n % 2 == 0) { val += g3fl_get(rv->samples,rv->n/2 - 1)[i]; val /= 2.0; } median[i] = val; } return 1; } int muc_rvar_get_percentile(struct muc_rvar* rv, double* median, double percentile) { double val; int i; if (!(rv->save_samp)) { fprintf(stderr,"muc_rvar_get_median: samples are not stored\n"); return 0; } for(i=0;isamples, i); val = g3fl_get(rv->samples, rv->n*percentile)[i]; if (rv->n % 1/percentile == 0) { val += g3fl_get(rv->samples,rv->n*percentile - 1)[i]; val /= 2.0; } median[i] = val; } return 1; } int muc_rvar_get_bounding_box(struct muc_rvar* rv, double* bounds) { int i; if (rv->n == 0) return 0; for(i=0;imin[i]; bounds[2*i + 1] = rv->max[i]; } return 1; }