1 /*-
2 * SPDX-License-Identifier: Beerware
3 *
4 * ----------------------------------------------------------------------------
5 * "THE BEER-WARE LICENSE" (Revision 42):
6 * <phk@FreeBSD.ORG> wrote this file. As long as you retain this notice you
7 * can do whatever you want with this stuff. If we meet some day, and you think
8 * this stuff is worth it, you can buy me a beer in return. Poul-Henning Kamp
9 * ----------------------------------------------------------------------------
10 *
11 */
12
13 #include <sys/cdefs.h>
14
15 #include <sys/ioctl.h>
16 #include <sys/queue.h>
17
18 #include <assert.h>
19 #include <ctype.h>
20 #include <err.h>
21 #include <errno.h>
22 #include <math.h>
23 #include <stdio.h>
24 #include <stdlib.h>
25 #include <string.h>
26 #include <unistd.h>
27
28 #define NSTUDENT 100
29 #define NCONF 6
30 static double const studentpct[] = { 80, 90, 95, 98, 99, 99.5 };
31 static double const student[NSTUDENT + 1][NCONF] = {
32 /* inf */ { 1.282, 1.645, 1.960, 2.326, 2.576, 3.090 },
33 /* 1. */ { 3.078, 6.314, 12.706, 31.821, 63.657, 318.313 },
34 /* 2. */ { 1.886, 2.920, 4.303, 6.965, 9.925, 22.327 },
35 /* 3. */ { 1.638, 2.353, 3.182, 4.541, 5.841, 10.215 },
36 /* 4. */ { 1.533, 2.132, 2.776, 3.747, 4.604, 7.173 },
37 /* 5. */ { 1.476, 2.015, 2.571, 3.365, 4.032, 5.893 },
38 /* 6. */ { 1.440, 1.943, 2.447, 3.143, 3.707, 5.208 },
39 /* 7. */ { 1.415, 1.895, 2.365, 2.998, 3.499, 4.782 },
40 /* 8. */ { 1.397, 1.860, 2.306, 2.896, 3.355, 4.499 },
41 /* 9. */ { 1.383, 1.833, 2.262, 2.821, 3.250, 4.296 },
42 /* 10. */ { 1.372, 1.812, 2.228, 2.764, 3.169, 4.143 },
43 /* 11. */ { 1.363, 1.796, 2.201, 2.718, 3.106, 4.024 },
44 /* 12. */ { 1.356, 1.782, 2.179, 2.681, 3.055, 3.929 },
45 /* 13. */ { 1.350, 1.771, 2.160, 2.650, 3.012, 3.852 },
46 /* 14. */ { 1.345, 1.761, 2.145, 2.624, 2.977, 3.787 },
47 /* 15. */ { 1.341, 1.753, 2.131, 2.602, 2.947, 3.733 },
48 /* 16. */ { 1.337, 1.746, 2.120, 2.583, 2.921, 3.686 },
49 /* 17. */ { 1.333, 1.740, 2.110, 2.567, 2.898, 3.646 },
50 /* 18. */ { 1.330, 1.734, 2.101, 2.552, 2.878, 3.610 },
51 /* 19. */ { 1.328, 1.729, 2.093, 2.539, 2.861, 3.579 },
52 /* 20. */ { 1.325, 1.725, 2.086, 2.528, 2.845, 3.552 },
53 /* 21. */ { 1.323, 1.721, 2.080, 2.518, 2.831, 3.527 },
54 /* 22. */ { 1.321, 1.717, 2.074, 2.508, 2.819, 3.505 },
55 /* 23. */ { 1.319, 1.714, 2.069, 2.500, 2.807, 3.485 },
56 /* 24. */ { 1.318, 1.711, 2.064, 2.492, 2.797, 3.467 },
57 /* 25. */ { 1.316, 1.708, 2.060, 2.485, 2.787, 3.450 },
58 /* 26. */ { 1.315, 1.706, 2.056, 2.479, 2.779, 3.435 },
59 /* 27. */ { 1.314, 1.703, 2.052, 2.473, 2.771, 3.421 },
60 /* 28. */ { 1.313, 1.701, 2.048, 2.467, 2.763, 3.408 },
61 /* 29. */ { 1.311, 1.699, 2.045, 2.462, 2.756, 3.396 },
62 /* 30. */ { 1.310, 1.697, 2.042, 2.457, 2.750, 3.385 },
63 /* 31. */ { 1.309, 1.696, 2.040, 2.453, 2.744, 3.375 },
64 /* 32. */ { 1.309, 1.694, 2.037, 2.449, 2.738, 3.365 },
65 /* 33. */ { 1.308, 1.692, 2.035, 2.445, 2.733, 3.356 },
66 /* 34. */ { 1.307, 1.691, 2.032, 2.441, 2.728, 3.348 },
67 /* 35. */ { 1.306, 1.690, 2.030, 2.438, 2.724, 3.340 },
68 /* 36. */ { 1.306, 1.688, 2.028, 2.434, 2.719, 3.333 },
69 /* 37. */ { 1.305, 1.687, 2.026, 2.431, 2.715, 3.326 },
70 /* 38. */ { 1.304, 1.686, 2.024, 2.429, 2.712, 3.319 },
71 /* 39. */ { 1.304, 1.685, 2.023, 2.426, 2.708, 3.313 },
72 /* 40. */ { 1.303, 1.684, 2.021, 2.423, 2.704, 3.307 },
73 /* 41. */ { 1.303, 1.683, 2.020, 2.421, 2.701, 3.301 },
74 /* 42. */ { 1.302, 1.682, 2.018, 2.418, 2.698, 3.296 },
75 /* 43. */ { 1.302, 1.681, 2.017, 2.416, 2.695, 3.291 },
76 /* 44. */ { 1.301, 1.680, 2.015, 2.414, 2.692, 3.286 },
77 /* 45. */ { 1.301, 1.679, 2.014, 2.412, 2.690, 3.281 },
78 /* 46. */ { 1.300, 1.679, 2.013, 2.410, 2.687, 3.277 },
79 /* 47. */ { 1.300, 1.678, 2.012, 2.408, 2.685, 3.273 },
80 /* 48. */ { 1.299, 1.677, 2.011, 2.407, 2.682, 3.269 },
81 /* 49. */ { 1.299, 1.677, 2.010, 2.405, 2.680, 3.265 },
82 /* 50. */ { 1.299, 1.676, 2.009, 2.403, 2.678, 3.261 },
83 /* 51. */ { 1.298, 1.675, 2.008, 2.402, 2.676, 3.258 },
84 /* 52. */ { 1.298, 1.675, 2.007, 2.400, 2.674, 3.255 },
85 /* 53. */ { 1.298, 1.674, 2.006, 2.399, 2.672, 3.251 },
86 /* 54. */ { 1.297, 1.674, 2.005, 2.397, 2.670, 3.248 },
87 /* 55. */ { 1.297, 1.673, 2.004, 2.396, 2.668, 3.245 },
88 /* 56. */ { 1.297, 1.673, 2.003, 2.395, 2.667, 3.242 },
89 /* 57. */ { 1.297, 1.672, 2.002, 2.394, 2.665, 3.239 },
90 /* 58. */ { 1.296, 1.672, 2.002, 2.392, 2.663, 3.237 },
91 /* 59. */ { 1.296, 1.671, 2.001, 2.391, 2.662, 3.234 },
92 /* 60. */ { 1.296, 1.671, 2.000, 2.390, 2.660, 3.232 },
93 /* 61. */ { 1.296, 1.670, 2.000, 2.389, 2.659, 3.229 },
94 /* 62. */ { 1.295, 1.670, 1.999, 2.388, 2.657, 3.227 },
95 /* 63. */ { 1.295, 1.669, 1.998, 2.387, 2.656, 3.225 },
96 /* 64. */ { 1.295, 1.669, 1.998, 2.386, 2.655, 3.223 },
97 /* 65. */ { 1.295, 1.669, 1.997, 2.385, 2.654, 3.220 },
98 /* 66. */ { 1.295, 1.668, 1.997, 2.384, 2.652, 3.218 },
99 /* 67. */ { 1.294, 1.668, 1.996, 2.383, 2.651, 3.216 },
100 /* 68. */ { 1.294, 1.668, 1.995, 2.382, 2.650, 3.214 },
101 /* 69. */ { 1.294, 1.667, 1.995, 2.382, 2.649, 3.213 },
102 /* 70. */ { 1.294, 1.667, 1.994, 2.381, 2.648, 3.211 },
103 /* 71. */ { 1.294, 1.667, 1.994, 2.380, 2.647, 3.209 },
104 /* 72. */ { 1.293, 1.666, 1.993, 2.379, 2.646, 3.207 },
105 /* 73. */ { 1.293, 1.666, 1.993, 2.379, 2.645, 3.206 },
106 /* 74. */ { 1.293, 1.666, 1.993, 2.378, 2.644, 3.204 },
107 /* 75. */ { 1.293, 1.665, 1.992, 2.377, 2.643, 3.202 },
108 /* 76. */ { 1.293, 1.665, 1.992, 2.376, 2.642, 3.201 },
109 /* 77. */ { 1.293, 1.665, 1.991, 2.376, 2.641, 3.199 },
110 /* 78. */ { 1.292, 1.665, 1.991, 2.375, 2.640, 3.198 },
111 /* 79. */ { 1.292, 1.664, 1.990, 2.374, 2.640, 3.197 },
112 /* 80. */ { 1.292, 1.664, 1.990, 2.374, 2.639, 3.195 },
113 /* 81. */ { 1.292, 1.664, 1.990, 2.373, 2.638, 3.194 },
114 /* 82. */ { 1.292, 1.664, 1.989, 2.373, 2.637, 3.193 },
115 /* 83. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.191 },
116 /* 84. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.190 },
117 /* 85. */ { 1.292, 1.663, 1.988, 2.371, 2.635, 3.189 },
118 /* 86. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.188 },
119 /* 87. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.187 },
120 /* 88. */ { 1.291, 1.662, 1.987, 2.369, 2.633, 3.185 },
121 /* 89. */ { 1.291, 1.662, 1.987, 2.369, 2.632, 3.184 },
122 /* 90. */ { 1.291, 1.662, 1.987, 2.368, 2.632, 3.183 },
123 /* 91. */ { 1.291, 1.662, 1.986, 2.368, 2.631, 3.182 },
124 /* 92. */ { 1.291, 1.662, 1.986, 2.368, 2.630, 3.181 },
125 /* 93. */ { 1.291, 1.661, 1.986, 2.367, 2.630, 3.180 },
126 /* 94. */ { 1.291, 1.661, 1.986, 2.367, 2.629, 3.179 },
127 /* 95. */ { 1.291, 1.661, 1.985, 2.366, 2.629, 3.178 },
128 /* 96. */ { 1.290, 1.661, 1.985, 2.366, 2.628, 3.177 },
129 /* 97. */ { 1.290, 1.661, 1.985, 2.365, 2.627, 3.176 },
130 /* 98. */ { 1.290, 1.661, 1.984, 2.365, 2.627, 3.175 },
131 /* 99. */ { 1.290, 1.660, 1.984, 2.365, 2.626, 3.175 },
132 /* 100. */ { 1.290, 1.660, 1.984, 2.364, 2.626, 3.174 }
133 };
134
135 #define MAX_DS 8
136 static char symbol[MAX_DS] = { ' ', 'x', '+', '*', '%', '#', '@', 'O' };
137
138 struct dataset {
139 char *name;
140 double *points;
141 size_t lpoints;
142 double sy, syy;
143 size_t n;
144 };
145
146 static struct dataset *
NewSet(void)147 NewSet(void)
148 {
149 struct dataset *ds;
150
151 ds = calloc(1, sizeof *ds);
152 assert(ds != NULL);
153 ds->lpoints = 100000;
154 ds->points = calloc(sizeof *ds->points, ds->lpoints);
155 assert(ds->points != NULL);
156 ds->syy = NAN;
157 return(ds);
158 }
159
160 static void
AddPoint(struct dataset * ds,double a)161 AddPoint(struct dataset *ds, double a)
162 {
163 double *dp;
164
165 if (ds->n >= ds->lpoints) {
166 dp = ds->points;
167 ds->lpoints *= 4;
168 ds->points = calloc(sizeof *ds->points, ds->lpoints);
169 assert(ds->points != NULL);
170 memcpy(ds->points, dp, sizeof *dp * ds->n);
171 free(dp);
172 }
173 ds->points[ds->n++] = a;
174 ds->sy += a;
175 }
176
177 static double
Min(const struct dataset * ds)178 Min(const struct dataset *ds)
179 {
180
181 return (ds->points[0]);
182 }
183
184 static double
Max(const struct dataset * ds)185 Max(const struct dataset *ds)
186 {
187
188 return (ds->points[ds->n -1]);
189 }
190
191 static double
Avg(const struct dataset * ds)192 Avg(const struct dataset *ds)
193 {
194
195 return(ds->sy / ds->n);
196 }
197
198 static double
Median(const struct dataset * ds)199 Median(const struct dataset *ds)
200 {
201 const size_t m = ds->n / 2;
202
203 if ((ds->n % 2) == 0)
204 return ((ds->points[m] + (ds->points[m - 1])) / 2);
205 return (ds->points[m]);
206 }
207
208 static double
Var(struct dataset * ds)209 Var(struct dataset *ds)
210 {
211 size_t z;
212 const double a = Avg(ds);
213
214 if (isnan(ds->syy)) {
215 ds->syy = 0.0;
216 for (z = 0; z < ds->n; z++)
217 ds->syy += (ds->points[z] - a) * (ds->points[z] - a);
218 }
219
220 return (ds->syy / (ds->n - 1.0));
221 }
222
223 static double
Stddev(struct dataset * ds)224 Stddev(struct dataset *ds)
225 {
226
227 return sqrt(Var(ds));
228 }
229
230 static void
VitalsHead(void)231 VitalsHead(void)
232 {
233
234 printf(" N Min Max Median Avg Stddev\n");
235 }
236
237 static void
Vitals(struct dataset * ds,int flag)238 Vitals(struct dataset *ds, int flag)
239 {
240
241 printf("%c %3zu %13.8g %13.8g %13.8g %13.8g %13.8g", symbol[flag],
242 ds->n, Min(ds), Max(ds), Median(ds), Avg(ds), Stddev(ds));
243 printf("\n");
244 }
245
246 static void
Relative(struct dataset * ds,struct dataset * rs,int confidx)247 Relative(struct dataset *ds, struct dataset *rs, int confidx)
248 {
249 double spool, s, d, e, t;
250 double re;
251 size_t z;
252
253 z = ds->n + rs->n - 2;
254 if (z > NSTUDENT)
255 t = student[0][confidx];
256 else
257 t = student[z][confidx];
258 spool = (ds->n - 1) * Var(ds) + (rs->n - 1) * Var(rs);
259 spool /= ds->n + rs->n - 2;
260 spool = sqrt(spool);
261 s = spool * sqrt(1.0 / ds->n + 1.0 / rs->n);
262 d = Avg(ds) - Avg(rs);
263 e = t * s;
264
265 re = (ds->n - 1) * Var(ds) + (rs->n - 1) * Var(rs) *
266 (Avg(ds) * Avg(ds)) / (Avg(rs) * Avg(rs));
267 re *= (ds->n + rs->n) / (ds->n * rs->n * (ds->n + rs->n - 2.0));
268 re = t * sqrt(re);
269
270 if (fabs(d) > e) {
271 printf("Difference at %.1f%% confidence\n", studentpct[confidx]);
272 printf(" %g +/- %g\n", d, e);
273 printf(" %g%% +/- %g%%\n", d * 100 / Avg(rs), re * 100 / Avg(rs));
274 printf(" (Student's t, pooled s = %g)\n", spool);
275 } else {
276 printf("No difference proven at %.1f%% confidence\n",
277 studentpct[confidx]);
278 }
279 }
280
281 struct plot {
282 double min;
283 double max;
284 double span;
285 int width;
286
287 double x0, dx;
288 size_t height;
289 char *data;
290 char **bar;
291 int separate_bars;
292 int num_datasets;
293 };
294
295 static struct plot plot;
296
297 static void
SetupPlot(int width,int separate,int num_datasets)298 SetupPlot(int width, int separate, int num_datasets)
299 {
300 struct plot *pl;
301
302 pl = &plot;
303 pl->width = width;
304 pl->height = 0;
305 pl->data = NULL;
306 pl->bar = NULL;
307 pl->separate_bars = separate;
308 pl->num_datasets = num_datasets;
309 pl->min = 999e99;
310 pl->max = -999e99;
311 }
312
313 static void
AdjPlot(double a)314 AdjPlot(double a)
315 {
316 struct plot *pl;
317
318 pl = &plot;
319 if (a < pl->min)
320 pl->min = a;
321 if (a > pl->max)
322 pl->max = a;
323 pl->span = pl->max - pl->min;
324 pl->dx = pl->span / (pl->width - 1.0);
325 pl->x0 = pl->min - .5 * pl->dx;
326 }
327
328 static void
DimPlot(struct dataset * ds)329 DimPlot(struct dataset *ds)
330 {
331 AdjPlot(Min(ds));
332 AdjPlot(Max(ds));
333 AdjPlot(Avg(ds) - Stddev(ds));
334 AdjPlot(Avg(ds) + Stddev(ds));
335 }
336
337 static void
PlotSet(struct dataset * ds,int val)338 PlotSet(struct dataset *ds, int val)
339 {
340 struct plot *pl;
341 int i, x;
342 size_t m, j, z;
343 size_t n;
344 int bar;
345 double av, sd;
346
347 pl = &plot;
348 if (pl->span == 0)
349 return;
350
351 if (pl->separate_bars)
352 bar = val-1;
353 else
354 bar = 0;
355
356 if (pl->bar == NULL) {
357 pl->bar = calloc(sizeof(char *), pl->num_datasets);
358 assert(pl->bar != NULL);
359 }
360
361 if (pl->bar[bar] == NULL) {
362 pl->bar[bar] = malloc(pl->width);
363 assert(pl->bar[bar] != NULL);
364 memset(pl->bar[bar], 0, pl->width);
365 }
366
367 m = 1;
368 i = -1;
369 j = 0;
370 /* Set m to max(j) + 1, to allocate required memory */
371 for (n = 0; n < ds->n; n++) {
372 x = (ds->points[n] - pl->x0) / pl->dx;
373 if (x == i) {
374 j++;
375 if (j > m)
376 m = j;
377 } else {
378 j = 1;
379 i = x;
380 }
381 }
382 m += 1;
383 if (m > pl->height) {
384 pl->data = realloc(pl->data, pl->width * m);
385 assert(pl->data != NULL);
386 memset(pl->data + pl->height * pl->width, 0,
387 (m - pl->height) * pl->width);
388 }
389 pl->height = m;
390 i = -1;
391 for (n = 0; n < ds->n; n++) {
392 x = (ds->points[n] - pl->x0) / pl->dx;
393 if (x == i) {
394 j++;
395 } else {
396 j = 1;
397 i = x;
398 }
399 pl->data[j * pl->width + x] |= val;
400 }
401 av = Avg(ds);
402 sd = Stddev(ds);
403 if (!isnan(sd)) {
404 x = ((av - sd) - pl->x0) / pl->dx;
405 m = ((av + sd) - pl->x0) / pl->dx;
406 pl->bar[bar][m] = '|';
407 pl->bar[bar][x] = '|';
408 for (z = x + 1; z < m; z++)
409 if (pl->bar[bar][z] == 0)
410 pl->bar[bar][z] = '_';
411 }
412 x = (Median(ds) - pl->x0) / pl->dx;
413 pl->bar[bar][x] = 'M';
414 x = (av - pl->x0) / pl->dx;
415 pl->bar[bar][x] = 'A';
416 }
417
418 static void
DumpPlot(void)419 DumpPlot(void)
420 {
421 struct plot *pl;
422 int i, j, k;
423 size_t z;
424
425 pl = &plot;
426 if (pl->span == 0) {
427 printf("[no plot, span is zero width]\n");
428 return;
429 }
430
431 putchar('+');
432 for (i = 0; i < pl->width; i++)
433 putchar('-');
434 putchar('+');
435 putchar('\n');
436 for (z = 1; z < pl->height; z++) {
437 putchar('|');
438 for (j = 0; j < pl->width; j++) {
439 k = pl->data[(pl->height - z) * pl->width + j];
440 if (k >= 0 && k < MAX_DS)
441 putchar(symbol[k]);
442 else
443 printf("[%02x]", k);
444 }
445 putchar('|');
446 putchar('\n');
447 }
448 for (i = 0; i < pl->num_datasets; i++) {
449 if (pl->bar[i] == NULL)
450 continue;
451 putchar('|');
452 for (j = 0; j < pl->width; j++) {
453 k = pl->bar[i][j];
454 if (k == 0)
455 k = ' ';
456 putchar(k);
457 }
458 putchar('|');
459 putchar('\n');
460 }
461 putchar('+');
462 for (i = 0; i < pl->width; i++)
463 putchar('-');
464 putchar('+');
465 putchar('\n');
466 }
467
468 static int
dbl_cmp(const void * a,const void * b)469 dbl_cmp(const void *a, const void *b)
470 {
471 const double *aa = a;
472 const double *bb = b;
473
474 if (*aa < *bb)
475 return (-1);
476 else if (*aa > *bb)
477 return (1);
478 else
479 return (0);
480 }
481
482 static struct dataset *
ReadSet(FILE * f,const char * n,int column,const char * delim)483 ReadSet(FILE *f, const char *n, int column, const char *delim)
484 {
485 char buf[BUFSIZ], *p, *t;
486 struct dataset *s;
487 double d;
488 int line;
489 int i;
490
491 s = NewSet();
492 s->name = strdup(n);
493 assert(s->name != NULL);
494 line = 0;
495 while (fgets(buf, sizeof buf, f) != NULL) {
496 line++;
497
498 i = strlen(buf);
499 while (i > 0 && isspace(buf[i - 1]))
500 buf[--i] = '\0';
501 for (i = 1, t = strtok(buf, delim);
502 t != NULL && *t != '#';
503 i++, t = strtok(NULL, delim)) {
504 if (i == column)
505 break;
506 }
507 if (t == NULL || *t == '#')
508 continue;
509
510 d = strtod(t, &p);
511 if (p != NULL && *p != '\0')
512 errx(2, "Invalid data on line %d in %s", line, n);
513 if (*buf != '\0')
514 AddPoint(s, d);
515 }
516 if (s->n < 3) {
517 fprintf(stderr,
518 "Dataset %s must contain at least 3 data points\n", n);
519 exit (2);
520 }
521 qsort(s->points, s->n, sizeof *s->points, dbl_cmp);
522 return (s);
523 }
524
525 static void
usage(char const * whine)526 usage(char const *whine)
527 {
528 int i;
529
530 fprintf(stderr, "%s\n", whine);
531 fprintf(stderr,
532 "Usage: ministat [-C column] [-c confidence] [-d delimiter(s)] [-Ans] [-w width] [file [file ...]]\n");
533 fprintf(stderr, "\tconfidence = {");
534 for (i = 0; i < NCONF; i++) {
535 fprintf(stderr, "%s%g%%",
536 i ? ", " : "",
537 studentpct[i]);
538 }
539 fprintf(stderr, "}\n");
540 fprintf(stderr, "\t-A : print statistics only. suppress the graph.\n");
541 fprintf(stderr, "\t-C : column number to extract (starts and defaults to 1)\n");
542 fprintf(stderr, "\t-d : delimiter(s) string, default to \" \\t\"\n");
543 fprintf(stderr, "\t-n : print summary statistics only, no graph/test\n");
544 fprintf(stderr, "\t-s : print avg/median/stddev bars on separate lines\n");
545 fprintf(stderr, "\t-w : width of graph/test output (default 74 or terminal width)\n");
546 exit (2);
547 }
548
549 int
main(int argc,char ** argv)550 main(int argc, char **argv)
551 {
552 const char *setfilenames[MAX_DS - 1];
553 struct dataset *ds[MAX_DS - 1];
554 FILE *setfiles[MAX_DS - 1];
555 int nds;
556 double a;
557 const char *delim = " \t";
558 char *p;
559 int c, i, ci;
560 int column = 1;
561 int flag_s = 0;
562 int flag_n = 0;
563 int termwidth = 74;
564 int suppress_plot = 0;
565
566 if (isatty(STDOUT_FILENO)) {
567 struct winsize wsz;
568
569 if ((p = getenv("COLUMNS")) != NULL && *p != '\0')
570 termwidth = atoi(p);
571 else if (ioctl(STDOUT_FILENO, TIOCGWINSZ, &wsz) != -1 &&
572 wsz.ws_col > 0)
573 termwidth = wsz.ws_col - 2;
574 }
575
576 ci = -1;
577 while ((c = getopt(argc, argv, "AC:c:d:snw:")) != -1)
578 switch (c) {
579 case 'A':
580 suppress_plot = 1;
581 break;
582 case 'C':
583 column = strtol(optarg, &p, 10);
584 if (p != NULL && *p != '\0')
585 usage("Invalid column number.");
586 if (column <= 0)
587 usage("Column number should be positive.");
588 break;
589 case 'c':
590 a = strtod(optarg, &p);
591 if (p != NULL && *p != '\0')
592 usage("Not a floating point number");
593 for (i = 0; i < NCONF; i++)
594 if (a == studentpct[i])
595 ci = i;
596 if (ci == -1)
597 usage("No support for confidence level");
598 break;
599 case 'd':
600 if (*optarg == '\0')
601 usage("Can't use empty delimiter string");
602 delim = optarg;
603 break;
604 case 'n':
605 flag_n = 1;
606 break;
607 case 's':
608 flag_s = 1;
609 break;
610 case 'w':
611 termwidth = strtol(optarg, &p, 10);
612 if (p != NULL && *p != '\0')
613 usage("Invalid width, not a number.");
614 if (termwidth < 0)
615 usage("Unable to move beyond left margin.");
616 break;
617 default:
618 usage("Unknown option");
619 break;
620 }
621 if (ci == -1)
622 ci = 2;
623 argc -= optind;
624 argv += optind;
625
626 if (argc == 0) {
627 setfilenames[0] = "<stdin>";
628 setfiles[0] = stdin;
629 nds = 1;
630 } else {
631 if (argc > (MAX_DS - 1))
632 usage("Too many datasets.");
633 nds = argc;
634 for (i = 0; i < nds; i++) {
635 setfilenames[i] = argv[i];
636 if (!strcmp(argv[i], "-"))
637 setfiles[0] = stdin;
638 else
639 setfiles[i] = fopen(argv[i], "r");
640 if (setfiles[i] == NULL)
641 err(2, "Cannot open %s", argv[i]);
642 }
643 }
644
645 for (i = 0; i < nds; i++) {
646 ds[i] = ReadSet(setfiles[i], setfilenames[i], column, delim);
647 if (setfiles[i] != stdin)
648 fclose(setfiles[i]);
649 }
650
651 for (i = 0; i < nds; i++)
652 printf("%c %s\n", symbol[i+1], ds[i]->name);
653
654 if (!flag_n && !suppress_plot) {
655 SetupPlot(termwidth, flag_s, nds);
656 for (i = 0; i < nds; i++)
657 DimPlot(ds[i]);
658 for (i = 0; i < nds; i++)
659 PlotSet(ds[i], i + 1);
660 DumpPlot();
661 }
662 VitalsHead();
663 Vitals(ds[0], 1);
664 for (i = 1; i < nds; i++) {
665 Vitals(ds[i], i + 1);
666 if (!flag_n)
667 Relative(ds[i], ds[0], ci);
668 }
669 exit(0);
670 }
671