2 * ----------------------------------------------------------------------------
3 * "THE BEER-WARE LICENSE" (Revision 42):
4 * <phk@FreeBSD.ORG> wrote this file. As long as you retain this notice you
5 * can do whatever you want with this stuff. If we meet some day, and you think
6 * this stuff is worth it, you can buy me a beer in return. Poul-Henning Kamp
7 * ----------------------------------------------------------------------------
11 #include <sys/cdefs.h>
13 __FBSDID("$FreeBSD$");
22 #include <sys/ioctl.h>
23 #include <sys/queue.h>
24 #include <sys/ttycom.h>
28 double const studentpct
[] = { 80, 90, 95, 98, 99, 99.5 };
29 double student
[NSTUDENT
+ 1][NCONF
] = {
30 /* inf */ { 1.282, 1.645, 1.960, 2.326, 2.576, 3.090 },
31 /* 1. */ { 3.078, 6.314, 12.706, 31.821, 63.657, 318.313 },
32 /* 2. */ { 1.886, 2.920, 4.303, 6.965, 9.925, 22.327 },
33 /* 3. */ { 1.638, 2.353, 3.182, 4.541, 5.841, 10.215 },
34 /* 4. */ { 1.533, 2.132, 2.776, 3.747, 4.604, 7.173 },
35 /* 5. */ { 1.476, 2.015, 2.571, 3.365, 4.032, 5.893 },
36 /* 6. */ { 1.440, 1.943, 2.447, 3.143, 3.707, 5.208 },
37 /* 7. */ { 1.415, 1.895, 2.365, 2.998, 3.499, 4.782 },
38 /* 8. */ { 1.397, 1.860, 2.306, 2.896, 3.355, 4.499 },
39 /* 9. */ { 1.383, 1.833, 2.262, 2.821, 3.250, 4.296 },
40 /* 10. */ { 1.372, 1.812, 2.228, 2.764, 3.169, 4.143 },
41 /* 11. */ { 1.363, 1.796, 2.201, 2.718, 3.106, 4.024 },
42 /* 12. */ { 1.356, 1.782, 2.179, 2.681, 3.055, 3.929 },
43 /* 13. */ { 1.350, 1.771, 2.160, 2.650, 3.012, 3.852 },
44 /* 14. */ { 1.345, 1.761, 2.145, 2.624, 2.977, 3.787 },
45 /* 15. */ { 1.341, 1.753, 2.131, 2.602, 2.947, 3.733 },
46 /* 16. */ { 1.337, 1.746, 2.120, 2.583, 2.921, 3.686 },
47 /* 17. */ { 1.333, 1.740, 2.110, 2.567, 2.898, 3.646 },
48 /* 18. */ { 1.330, 1.734, 2.101, 2.552, 2.878, 3.610 },
49 /* 19. */ { 1.328, 1.729, 2.093, 2.539, 2.861, 3.579 },
50 /* 20. */ { 1.325, 1.725, 2.086, 2.528, 2.845, 3.552 },
51 /* 21. */ { 1.323, 1.721, 2.080, 2.518, 2.831, 3.527 },
52 /* 22. */ { 1.321, 1.717, 2.074, 2.508, 2.819, 3.505 },
53 /* 23. */ { 1.319, 1.714, 2.069, 2.500, 2.807, 3.485 },
54 /* 24. */ { 1.318, 1.711, 2.064, 2.492, 2.797, 3.467 },
55 /* 25. */ { 1.316, 1.708, 2.060, 2.485, 2.787, 3.450 },
56 /* 26. */ { 1.315, 1.706, 2.056, 2.479, 2.779, 3.435 },
57 /* 27. */ { 1.314, 1.703, 2.052, 2.473, 2.771, 3.421 },
58 /* 28. */ { 1.313, 1.701, 2.048, 2.467, 2.763, 3.408 },
59 /* 29. */ { 1.311, 1.699, 2.045, 2.462, 2.756, 3.396 },
60 /* 30. */ { 1.310, 1.697, 2.042, 2.457, 2.750, 3.385 },
61 /* 31. */ { 1.309, 1.696, 2.040, 2.453, 2.744, 3.375 },
62 /* 32. */ { 1.309, 1.694, 2.037, 2.449, 2.738, 3.365 },
63 /* 33. */ { 1.308, 1.692, 2.035, 2.445, 2.733, 3.356 },
64 /* 34. */ { 1.307, 1.691, 2.032, 2.441, 2.728, 3.348 },
65 /* 35. */ { 1.306, 1.690, 2.030, 2.438, 2.724, 3.340 },
66 /* 36. */ { 1.306, 1.688, 2.028, 2.434, 2.719, 3.333 },
67 /* 37. */ { 1.305, 1.687, 2.026, 2.431, 2.715, 3.326 },
68 /* 38. */ { 1.304, 1.686, 2.024, 2.429, 2.712, 3.319 },
69 /* 39. */ { 1.304, 1.685, 2.023, 2.426, 2.708, 3.313 },
70 /* 40. */ { 1.303, 1.684, 2.021, 2.423, 2.704, 3.307 },
71 /* 41. */ { 1.303, 1.683, 2.020, 2.421, 2.701, 3.301 },
72 /* 42. */ { 1.302, 1.682, 2.018, 2.418, 2.698, 3.296 },
73 /* 43. */ { 1.302, 1.681, 2.017, 2.416, 2.695, 3.291 },
74 /* 44. */ { 1.301, 1.680, 2.015, 2.414, 2.692, 3.286 },
75 /* 45. */ { 1.301, 1.679, 2.014, 2.412, 2.690, 3.281 },
76 /* 46. */ { 1.300, 1.679, 2.013, 2.410, 2.687, 3.277 },
77 /* 47. */ { 1.300, 1.678, 2.012, 2.408, 2.685, 3.273 },
78 /* 48. */ { 1.299, 1.677, 2.011, 2.407, 2.682, 3.269 },
79 /* 49. */ { 1.299, 1.677, 2.010, 2.405, 2.680, 3.265 },
80 /* 50. */ { 1.299, 1.676, 2.009, 2.403, 2.678, 3.261 },
81 /* 51. */ { 1.298, 1.675, 2.008, 2.402, 2.676, 3.258 },
82 /* 52. */ { 1.298, 1.675, 2.007, 2.400, 2.674, 3.255 },
83 /* 53. */ { 1.298, 1.674, 2.006, 2.399, 2.672, 3.251 },
84 /* 54. */ { 1.297, 1.674, 2.005, 2.397, 2.670, 3.248 },
85 /* 55. */ { 1.297, 1.673, 2.004, 2.396, 2.668, 3.245 },
86 /* 56. */ { 1.297, 1.673, 2.003, 2.395, 2.667, 3.242 },
87 /* 57. */ { 1.297, 1.672, 2.002, 2.394, 2.665, 3.239 },
88 /* 58. */ { 1.296, 1.672, 2.002, 2.392, 2.663, 3.237 },
89 /* 59. */ { 1.296, 1.671, 2.001, 2.391, 2.662, 3.234 },
90 /* 60. */ { 1.296, 1.671, 2.000, 2.390, 2.660, 3.232 },
91 /* 61. */ { 1.296, 1.670, 2.000, 2.389, 2.659, 3.229 },
92 /* 62. */ { 1.295, 1.670, 1.999, 2.388, 2.657, 3.227 },
93 /* 63. */ { 1.295, 1.669, 1.998, 2.387, 2.656, 3.225 },
94 /* 64. */ { 1.295, 1.669, 1.998, 2.386, 2.655, 3.223 },
95 /* 65. */ { 1.295, 1.669, 1.997, 2.385, 2.654, 3.220 },
96 /* 66. */ { 1.295, 1.668, 1.997, 2.384, 2.652, 3.218 },
97 /* 67. */ { 1.294, 1.668, 1.996, 2.383, 2.651, 3.216 },
98 /* 68. */ { 1.294, 1.668, 1.995, 2.382, 2.650, 3.214 },
99 /* 69. */ { 1.294, 1.667, 1.995, 2.382, 2.649, 3.213 },
100 /* 70. */ { 1.294, 1.667, 1.994, 2.381, 2.648, 3.211 },
101 /* 71. */ { 1.294, 1.667, 1.994, 2.380, 2.647, 3.209 },
102 /* 72. */ { 1.293, 1.666, 1.993, 2.379, 2.646, 3.207 },
103 /* 73. */ { 1.293, 1.666, 1.993, 2.379, 2.645, 3.206 },
104 /* 74. */ { 1.293, 1.666, 1.993, 2.378, 2.644, 3.204 },
105 /* 75. */ { 1.293, 1.665, 1.992, 2.377, 2.643, 3.202 },
106 /* 76. */ { 1.293, 1.665, 1.992, 2.376, 2.642, 3.201 },
107 /* 77. */ { 1.293, 1.665, 1.991, 2.376, 2.641, 3.199 },
108 /* 78. */ { 1.292, 1.665, 1.991, 2.375, 2.640, 3.198 },
109 /* 79. */ { 1.292, 1.664, 1.990, 2.374, 2.640, 3.197 },
110 /* 80. */ { 1.292, 1.664, 1.990, 2.374, 2.639, 3.195 },
111 /* 81. */ { 1.292, 1.664, 1.990, 2.373, 2.638, 3.194 },
112 /* 82. */ { 1.292, 1.664, 1.989, 2.373, 2.637, 3.193 },
113 /* 83. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.191 },
114 /* 84. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.190 },
115 /* 85. */ { 1.292, 1.663, 1.988, 2.371, 2.635, 3.189 },
116 /* 86. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.188 },
117 /* 87. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.187 },
118 /* 88. */ { 1.291, 1.662, 1.987, 2.369, 2.633, 3.185 },
119 /* 89. */ { 1.291, 1.662, 1.987, 2.369, 2.632, 3.184 },
120 /* 90. */ { 1.291, 1.662, 1.987, 2.368, 2.632, 3.183 },
121 /* 91. */ { 1.291, 1.662, 1.986, 2.368, 2.631, 3.182 },
122 /* 92. */ { 1.291, 1.662, 1.986, 2.368, 2.630, 3.181 },
123 /* 93. */ { 1.291, 1.661, 1.986, 2.367, 2.630, 3.180 },
124 /* 94. */ { 1.291, 1.661, 1.986, 2.367, 2.629, 3.179 },
125 /* 95. */ { 1.291, 1.661, 1.985, 2.366, 2.629, 3.178 },
126 /* 96. */ { 1.290, 1.661, 1.985, 2.366, 2.628, 3.177 },
127 /* 97. */ { 1.290, 1.661, 1.985, 2.365, 2.627, 3.176 },
128 /* 98. */ { 1.290, 1.661, 1.984, 2.365, 2.627, 3.175 },
129 /* 99. */ { 1.290, 1.660, 1.984, 2.365, 2.626, 3.175 },
130 /* 100. */ { 1.290, 1.660, 1.984, 2.364, 2.626, 3.174 }
134 static char symbol
[MAX_DS
] = { ' ', 'x', '+', '*', '%', '#', '@', 'O' };
144 static struct dataset
*
149 ds
= calloc(1, sizeof *ds
);
150 ds
->lpoints
= 100000;
151 ds
->points
= calloc(sizeof *ds
->points
, ds
->lpoints
);
156 AddPoint(struct dataset
*ds
, double a
)
160 if (ds
->n
>= ds
->lpoints
) {
163 ds
->points
= calloc(sizeof *ds
->points
, ds
->lpoints
);
164 memcpy(ds
->points
, dp
, sizeof *dp
* ds
->n
);
167 ds
->points
[ds
->n
++] = a
;
173 Min(struct dataset
*ds
)
176 return (ds
->points
[0]);
180 Max(struct dataset
*ds
)
183 return (ds
->points
[ds
->n
-1]);
187 Avg(struct dataset
*ds
)
190 return(ds
->sy
/ ds
->n
);
194 Median(struct dataset
*ds
)
197 return (ds
->points
[ds
->n
/ 2]);
201 Var(struct dataset
*ds
)
204 return (ds
->syy
- ds
->sy
* ds
->sy
/ ds
->n
) / (ds
->n
- 1.0);
208 Stddev(struct dataset
*ds
)
211 return sqrt(Var(ds
));
218 printf(" N Min Max Median Avg Stddev\n");
222 Vitals(struct dataset
*ds
, int flag
)
225 printf("%c %3d %17.12g %17.12g %17.12g %17.12g %17.12g", symbol
[flag
],
226 ds
->n
, Min(ds
), Max(ds
), Median(ds
), Avg(ds
), Stddev(ds
));
231 Relative(struct dataset
*ds
, struct dataset
*rs
, int confidx
)
233 double spool
, s
, d
, e
, t
;
236 i
= ds
->n
+ rs
->n
- 2;
238 t
= student
[0][confidx
];
240 t
= student
[i
][confidx
];
241 spool
= (ds
->n
- 1) * Var(ds
) + (rs
->n
- 1) * Var(rs
);
242 spool
/= ds
->n
+ rs
->n
- 2;
244 s
= spool
* sqrt(1.0 / ds
->n
+ 1.0 / rs
->n
);
245 d
= Avg(ds
) - Avg(rs
);
250 printf("Difference at %.1f%% confidence\n", studentpct
[confidx
]);
251 printf(" %g +/- %g\n", d
, e
);
252 printf(" %g%% +/- %g%%\n", d
* 100 / Avg(rs
), e
* 100 / Avg(rs
));
253 printf(" (Student's t, pooled s = %g)\n", spool
);
255 printf("No difference proven at %.1f%% confidence\n",
256 studentpct
[confidx
]);
274 static struct plot plot
;
277 SetupPlot(int width
, int separate
, int num_datasets
)
286 pl
->separate_bars
= separate
;
287 pl
->num_datasets
= num_datasets
;
302 pl
->span
= pl
->max
- pl
->min
;
303 pl
->dx
= pl
->span
/ (pl
->width
- 1.0);
304 pl
->x0
= pl
->min
- .5 * pl
->dx
;
308 DimPlot(struct dataset
*ds
)
312 AdjPlot(Avg(ds
) - Stddev(ds
));
313 AdjPlot(Avg(ds
) + Stddev(ds
));
317 PlotSet(struct dataset
*ds
, int val
)
328 if (pl
->separate_bars
)
333 if (pl
->bar
== NULL
) {
334 pl
->bar
= malloc(sizeof(char *) * pl
->num_datasets
);
335 memset(pl
->bar
, 0, sizeof(char*) * pl
->num_datasets
);
337 if (pl
->bar
[bar
] == NULL
) {
338 pl
->bar
[bar
] = malloc(pl
->width
);
339 memset(pl
->bar
[bar
], 0, pl
->width
);
345 for (n
= 0; n
< ds
->n
; n
++) {
346 x
= (ds
->points
[n
] - pl
->x0
) / pl
->dx
;
357 if (m
> pl
->height
) {
358 pl
->data
= realloc(pl
->data
, pl
->width
* m
);
359 memset(pl
->data
+ pl
->height
* pl
->width
, 0,
360 (m
- pl
->height
) * pl
->width
);
364 for (n
= 0; n
< ds
->n
; n
++) {
365 x
= (ds
->points
[n
] - pl
->x0
) / pl
->dx
;
372 pl
->data
[j
* pl
->width
+ x
] |= val
;
374 if (!isnan(Stddev(ds
))) {
375 x
= ((Avg(ds
) - Stddev(ds
)) - pl
->x0
) / pl
->dx
;
376 m
= ((Avg(ds
) + Stddev(ds
)) - pl
->x0
) / pl
->dx
;
377 pl
->bar
[bar
][m
] = '|';
378 pl
->bar
[bar
][x
] = '|';
379 for (i
= x
+ 1; i
< m
; i
++)
380 if (pl
->bar
[bar
][i
] == 0)
381 pl
->bar
[bar
][i
] = '_';
383 x
= (Median(ds
) - pl
->x0
) / pl
->dx
;
384 pl
->bar
[bar
][x
] = 'M';
385 x
= (Avg(ds
) - pl
->x0
) / pl
->dx
;
386 pl
->bar
[bar
][x
] = 'A';
397 printf("[no plot, span is zero width]\n");
402 for (i
= 0; i
< pl
->width
; i
++)
406 for (i
= 1; i
< pl
->height
; i
++) {
408 for (j
= 0; j
< pl
->width
; j
++) {
409 k
= pl
->data
[(pl
->height
- i
) * pl
->width
+ j
];
410 if (k
>= 0 && k
< MAX_DS
)
418 for (i
= 0; i
< pl
->num_datasets
; i
++) {
419 if (pl
->bar
[i
] == NULL
)
422 for (j
= 0; j
< pl
->width
; j
++) {
432 for (i
= 0; i
< pl
->width
; i
++)
439 dbl_cmp(const void *a
, const void *b
)
441 const double *aa
= a
;
442 const double *bb
= b
;
452 static struct dataset
*
453 ReadSet(const char *n
, int column
, const char *delim
)
456 char buf
[BUFSIZ
], *p
, *t
;
465 } else if (!strcmp(n
, "-")) {
472 err(1, "Cannot open %s", n
);
476 while (fgets(buf
, sizeof buf
, f
) != NULL
) {
480 if (buf
[i
-1] == '\n')
482 for (i
= 1, t
= strtok(buf
, delim
);
483 t
!= NULL
&& *t
!= '#';
484 i
++, t
= strtok(NULL
, delim
)) {
488 if (t
== NULL
|| *t
== '#')
492 if (p
!= NULL
&& *p
!= '\0')
493 err(2, "Invalid data on line %d in %s\n", line
, n
);
500 "Dataset %s must contain at least 3 data points\n", n
);
503 qsort(s
->points
, s
->n
, sizeof *s
->points
, dbl_cmp
);
508 usage(char const *whine
)
512 fprintf(stderr
, "%s\n", whine
);
514 "Usage: ministat [-C column] [-c confidence] [-d delimiter(s)] [-ns] [-w width] [file [file ...]]\n");
515 fprintf(stderr
, "\tconfidence = {");
516 for (i
= 0; i
< NCONF
; i
++) {
517 fprintf(stderr
, "%s%g%%",
521 fprintf(stderr
, "}\n");
522 fprintf(stderr
, "\t-C : column number to extract (starts and defaults to 1)\n");
523 fprintf(stderr
, "\t-d : delimiter(s) string, default to \" \\t\"\n");
524 fprintf(stderr
, "\t-n : print summary statistics only, no graph/test\n");
525 fprintf(stderr
, "\t-s : print avg/median/stddev bars on separate lines\n");
526 fprintf(stderr
, "\t-w : width of graph/test output (default 74 or terminal width)\n");
531 main(int argc
, char **argv
)
533 struct dataset
*ds
[7];
536 const char *delim
= " \t";
544 if (isatty(STDOUT_FILENO
)) {
547 if ((p
= getenv("COLUMNS")) != NULL
&& *p
!= '\0')
549 else if (ioctl(STDOUT_FILENO
, TIOCGWINSZ
, &wsz
) != -1 &&
551 termwidth
= wsz
.ws_col
- 2;
555 while ((c
= getopt(argc
, argv
, "C:c:d:snw:")) != -1)
558 column
= strtol(optarg
, &p
, 10);
559 if (p
!= NULL
&& *p
!= '\0')
560 usage("Invalid column number.");
562 usage("Column number should be positive.");
565 a
= strtod(optarg
, &p
);
566 if (p
!= NULL
&& *p
!= '\0')
567 usage("Not a floating point number");
568 for (i
= 0; i
< NCONF
; i
++)
569 if (a
== studentpct
[i
])
572 usage("No support for confidence level");
576 usage("Can't use empty delimiter string");
586 termwidth
= strtol(optarg
, &p
, 10);
587 if (p
!= NULL
&& *p
!= '\0')
588 usage("Invalid width, not a number.");
590 usage("Unable to move beyond left margin.");
593 usage("Unknown option");
602 ds
[0] = ReadSet("-", column
, delim
);
605 if (argc
> (MAX_DS
- 1))
606 usage("Too many datasets.");
608 for (i
= 0; i
< nds
; i
++)
609 ds
[i
] = ReadSet(argv
[i
], column
, delim
);
612 for (i
= 0; i
< nds
; i
++)
613 printf("%c %s\n", symbol
[i
+1], ds
[i
]->name
);
616 SetupPlot(termwidth
, flag_s
, nds
);
617 for (i
= 0; i
< nds
; i
++)
619 for (i
= 0; i
< nds
; i
++)
620 PlotSet(ds
[i
], i
+ 1);
625 for (i
= 1; i
< nds
; i
++) {
626 Vitals(ds
[i
], i
+ 1);
628 Relative(ds
[i
], ds
[0], ci
);