1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
/*
* Experimental data distribution table generator
* Taken from the uncopyrighted NISTnet code (public domain).
*
* Rread in a series of "random" data values, either
* experimentally or generated from some probability distribution.
* From this, report statistics.
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <malloc.h>
#include <sys/types.h>
#include <sys/stat.h>
void
stats(FILE *fp)
{
struct stat info;
double *x;
int limit;
int n=0, i;
double mu=0.0, sigma=0.0, sumsquare=0.0, sum=0.0, top=0.0, rho=0.0;
double sigma2=0.0;
fstat(fileno(fp), &info);
if (info.st_size > 0) {
limit = 2*info.st_size/sizeof(double); /* @@ approximate */
} else {
limit = 10000;
}
x = (double *)malloc(limit*sizeof(double));
for (i=0; i<limit; ++i){
fscanf(fp, "%lf", &x[i]);
if (feof(fp))
break;
sumsquare += x[i]*x[i];
sum += x[i];
++n;
}
mu = sum/(double)n;
sigma = sqrt((sumsquare - (double)n*mu*mu)/(double)(n-1));
for (i=1; i < n; ++i){
top += ((double)x[i]-mu)*((double)x[i-1]-mu);
sigma2 += ((double)x[i-1] - mu)*((double)x[i-1] - mu);
}
rho = top/sigma2;
printf("mu = %12.6f\n", mu);
printf("sigma = %12.6f\n", sigma);
printf("rho = %12.6f\n", rho);
/*printf("sigma2 = %10.4f\n", sqrt(sigma2/(double)(n-1)));*/
/*printf("correlation rho = %10.6f\n", top/((double)(n-1)*sigma*sigma));*/
}
int
main(int argc, char **argv)
{
FILE *fp;
if (argc > 1) {
fp = fopen(argv[1], "r");
if (!fp) {
perror(argv[1]);
exit(1);
}
} else {
fp = stdin;
}
stats(fp);
return 0;
}
|
