ministat.c revision 176106
1/* 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 * ---------------------------------------------------------------------------- 8 * 9 */ 10 11#include <sys/cdefs.h> 12__FBSDID("$FreeBSD: head/usr.bin/ministat/ministat.c 176106 2008-02-08 10:58:50Z dwmalone $"); 13 14#include <stdio.h> 15#include <math.h> 16#include <err.h> 17#include <string.h> 18#include <stdlib.h> 19#include <unistd.h> 20#include <sys/ioctl.h> 21#include <sys/queue.h> 22#include <sys/ttycom.h> 23 24#define NSTUDENT 100 25#define NCONF 6 26double const studentpct[] = { 80, 90, 95, 98, 99, 99.5 }; 27double student [NSTUDENT + 1][NCONF] = { 28/* inf */ { 1.282, 1.645, 1.960, 2.326, 2.576, 3.090 }, 29/* 1. */ { 3.078, 6.314, 12.706, 31.821, 63.657, 318.313 }, 30/* 2. */ { 1.886, 2.920, 4.303, 6.965, 9.925, 22.327 }, 31/* 3. */ { 1.638, 2.353, 3.182, 4.541, 5.841, 10.215 }, 32/* 4. */ { 1.533, 2.132, 2.776, 3.747, 4.604, 7.173 }, 33/* 5. */ { 1.476, 2.015, 2.571, 3.365, 4.032, 5.893 }, 34/* 6. */ { 1.440, 1.943, 2.447, 3.143, 3.707, 5.208 }, 35/* 7. */ { 1.415, 1.895, 2.365, 2.998, 3.499, 4.782 }, 36/* 8. */ { 1.397, 1.860, 2.306, 2.896, 3.355, 4.499 }, 37/* 9. */ { 1.383, 1.833, 2.262, 2.821, 3.250, 4.296 }, 38/* 10. */ { 1.372, 1.812, 2.228, 2.764, 3.169, 4.143 }, 39/* 11. */ { 1.363, 1.796, 2.201, 2.718, 3.106, 4.024 }, 40/* 12. */ { 1.356, 1.782, 2.179, 2.681, 3.055, 3.929 }, 41/* 13. */ { 1.350, 1.771, 2.160, 2.650, 3.012, 3.852 }, 42/* 14. */ { 1.345, 1.761, 2.145, 2.624, 2.977, 3.787 }, 43/* 15. */ { 1.341, 1.753, 2.131, 2.602, 2.947, 3.733 }, 44/* 16. */ { 1.337, 1.746, 2.120, 2.583, 2.921, 3.686 }, 45/* 17. */ { 1.333, 1.740, 2.110, 2.567, 2.898, 3.646 }, 46/* 18. */ { 1.330, 1.734, 2.101, 2.552, 2.878, 3.610 }, 47/* 19. */ { 1.328, 1.729, 2.093, 2.539, 2.861, 3.579 }, 48/* 20. */ { 1.325, 1.725, 2.086, 2.528, 2.845, 3.552 }, 49/* 21. */ { 1.323, 1.721, 2.080, 2.518, 2.831, 3.527 }, 50/* 22. */ { 1.321, 1.717, 2.074, 2.508, 2.819, 3.505 }, 51/* 23. */ { 1.319, 1.714, 2.069, 2.500, 2.807, 3.485 }, 52/* 24. */ { 1.318, 1.711, 2.064, 2.492, 2.797, 3.467 }, 53/* 25. */ { 1.316, 1.708, 2.060, 2.485, 2.787, 3.450 }, 54/* 26. */ { 1.315, 1.706, 2.056, 2.479, 2.779, 3.435 }, 55/* 27. */ { 1.314, 1.703, 2.052, 2.473, 2.771, 3.421 }, 56/* 28. */ { 1.313, 1.701, 2.048, 2.467, 2.763, 3.408 }, 57/* 29. */ { 1.311, 1.699, 2.045, 2.462, 2.756, 3.396 }, 58/* 30. */ { 1.310, 1.697, 2.042, 2.457, 2.750, 3.385 }, 59/* 31. */ { 1.309, 1.696, 2.040, 2.453, 2.744, 3.375 }, 60/* 32. */ { 1.309, 1.694, 2.037, 2.449, 2.738, 3.365 }, 61/* 33. */ { 1.308, 1.692, 2.035, 2.445, 2.733, 3.356 }, 62/* 34. */ { 1.307, 1.691, 2.032, 2.441, 2.728, 3.348 }, 63/* 35. */ { 1.306, 1.690, 2.030, 2.438, 2.724, 3.340 }, 64/* 36. */ { 1.306, 1.688, 2.028, 2.434, 2.719, 3.333 }, 65/* 37. */ { 1.305, 1.687, 2.026, 2.431, 2.715, 3.326 }, 66/* 38. */ { 1.304, 1.686, 2.024, 2.429, 2.712, 3.319 }, 67/* 39. */ { 1.304, 1.685, 2.023, 2.426, 2.708, 3.313 }, 68/* 40. */ { 1.303, 1.684, 2.021, 2.423, 2.704, 3.307 }, 69/* 41. */ { 1.303, 1.683, 2.020, 2.421, 2.701, 3.301 }, 70/* 42. */ { 1.302, 1.682, 2.018, 2.418, 2.698, 3.296 }, 71/* 43. */ { 1.302, 1.681, 2.017, 2.416, 2.695, 3.291 }, 72/* 44. */ { 1.301, 1.680, 2.015, 2.414, 2.692, 3.286 }, 73/* 45. */ { 1.301, 1.679, 2.014, 2.412, 2.690, 3.281 }, 74/* 46. */ { 1.300, 1.679, 2.013, 2.410, 2.687, 3.277 }, 75/* 47. */ { 1.300, 1.678, 2.012, 2.408, 2.685, 3.273 }, 76/* 48. */ { 1.299, 1.677, 2.011, 2.407, 2.682, 3.269 }, 77/* 49. */ { 1.299, 1.677, 2.010, 2.405, 2.680, 3.265 }, 78/* 50. */ { 1.299, 1.676, 2.009, 2.403, 2.678, 3.261 }, 79/* 51. */ { 1.298, 1.675, 2.008, 2.402, 2.676, 3.258 }, 80/* 52. */ { 1.298, 1.675, 2.007, 2.400, 2.674, 3.255 }, 81/* 53. */ { 1.298, 1.674, 2.006, 2.399, 2.672, 3.251 }, 82/* 54. */ { 1.297, 1.674, 2.005, 2.397, 2.670, 3.248 }, 83/* 55. */ { 1.297, 1.673, 2.004, 2.396, 2.668, 3.245 }, 84/* 56. */ { 1.297, 1.673, 2.003, 2.395, 2.667, 3.242 }, 85/* 57. */ { 1.297, 1.672, 2.002, 2.394, 2.665, 3.239 }, 86/* 58. */ { 1.296, 1.672, 2.002, 2.392, 2.663, 3.237 }, 87/* 59. */ { 1.296, 1.671, 2.001, 2.391, 2.662, 3.234 }, 88/* 60. */ { 1.296, 1.671, 2.000, 2.390, 2.660, 3.232 }, 89/* 61. */ { 1.296, 1.670, 2.000, 2.389, 2.659, 3.229 }, 90/* 62. */ { 1.295, 1.670, 1.999, 2.388, 2.657, 3.227 }, 91/* 63. */ { 1.295, 1.669, 1.998, 2.387, 2.656, 3.225 }, 92/* 64. */ { 1.295, 1.669, 1.998, 2.386, 2.655, 3.223 }, 93/* 65. */ { 1.295, 1.669, 1.997, 2.385, 2.654, 3.220 }, 94/* 66. */ { 1.295, 1.668, 1.997, 2.384, 2.652, 3.218 }, 95/* 67. */ { 1.294, 1.668, 1.996, 2.383, 2.651, 3.216 }, 96/* 68. */ { 1.294, 1.668, 1.995, 2.382, 2.650, 3.214 }, 97/* 69. */ { 1.294, 1.667, 1.995, 2.382, 2.649, 3.213 }, 98/* 70. */ { 1.294, 1.667, 1.994, 2.381, 2.648, 3.211 }, 99/* 71. */ { 1.294, 1.667, 1.994, 2.380, 2.647, 3.209 }, 100/* 72. */ { 1.293, 1.666, 1.993, 2.379, 2.646, 3.207 }, 101/* 73. */ { 1.293, 1.666, 1.993, 2.379, 2.645, 3.206 }, 102/* 74. */ { 1.293, 1.666, 1.993, 2.378, 2.644, 3.204 }, 103/* 75. */ { 1.293, 1.665, 1.992, 2.377, 2.643, 3.202 }, 104/* 76. */ { 1.293, 1.665, 1.992, 2.376, 2.642, 3.201 }, 105/* 77. */ { 1.293, 1.665, 1.991, 2.376, 2.641, 3.199 }, 106/* 78. */ { 1.292, 1.665, 1.991, 2.375, 2.640, 3.198 }, 107/* 79. */ { 1.292, 1.664, 1.990, 2.374, 2.640, 3.197 }, 108/* 80. */ { 1.292, 1.664, 1.990, 2.374, 2.639, 3.195 }, 109/* 81. */ { 1.292, 1.664, 1.990, 2.373, 2.638, 3.194 }, 110/* 82. */ { 1.292, 1.664, 1.989, 2.373, 2.637, 3.193 }, 111/* 83. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.191 }, 112/* 84. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.190 }, 113/* 85. */ { 1.292, 1.663, 1.988, 2.371, 2.635, 3.189 }, 114/* 86. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.188 }, 115/* 87. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.187 }, 116/* 88. */ { 1.291, 1.662, 1.987, 2.369, 2.633, 3.185 }, 117/* 89. */ { 1.291, 1.662, 1.987, 2.369, 2.632, 3.184 }, 118/* 90. */ { 1.291, 1.662, 1.987, 2.368, 2.632, 3.183 }, 119/* 91. */ { 1.291, 1.662, 1.986, 2.368, 2.631, 3.182 }, 120/* 92. */ { 1.291, 1.662, 1.986, 2.368, 2.630, 3.181 }, 121/* 93. */ { 1.291, 1.661, 1.986, 2.367, 2.630, 3.180 }, 122/* 94. */ { 1.291, 1.661, 1.986, 2.367, 2.629, 3.179 }, 123/* 95. */ { 1.291, 1.661, 1.985, 2.366, 2.629, 3.178 }, 124/* 96. */ { 1.290, 1.661, 1.985, 2.366, 2.628, 3.177 }, 125/* 97. */ { 1.290, 1.661, 1.985, 2.365, 2.627, 3.176 }, 126/* 98. */ { 1.290, 1.661, 1.984, 2.365, 2.627, 3.175 }, 127/* 99. */ { 1.290, 1.660, 1.984, 2.365, 2.626, 3.175 }, 128/* 100. */ { 1.290, 1.660, 1.984, 2.364, 2.626, 3.174 } 129}; 130 131#define MAX_DS 8 132static char symbol[MAX_DS] = { ' ', 'x', '+', '*', '%', '#', '@', 'O' }; 133 134TAILQ_HEAD(pointlist, point); 135 136struct dataset { 137 char *name; 138 struct pointlist list; 139 double sy, syy; 140 int n; 141}; 142 143static struct dataset * 144NewSet(void) 145{ 146 struct dataset *ds; 147 148 ds = calloc(1, sizeof *ds); 149 TAILQ_INIT(&ds->list); 150 return(ds); 151} 152 153struct point { 154 TAILQ_ENTRY(point) list; 155 double val; 156}; 157 158static void 159AddPoint(struct dataset *ds, double a) 160{ 161 struct point *pp, *pp2; 162 163 pp = calloc(1, sizeof *pp); 164 pp->val = a; 165 166 ds->n++; 167 ds->sy += a; 168 ds->syy += a * a; 169 if (TAILQ_EMPTY(&ds->list)) { 170 TAILQ_INSERT_HEAD(&ds->list, pp, list); 171 return; 172 } 173 TAILQ_FOREACH(pp2, &ds->list, list) { 174 if (pp->val < pp2->val) { 175 TAILQ_INSERT_BEFORE(pp2, pp, list); 176 return; 177 } 178 } 179 TAILQ_INSERT_TAIL(&ds->list, pp, list); 180} 181 182static double 183Min(struct dataset *ds) 184{ 185 186 return (TAILQ_FIRST(&ds->list)->val); 187} 188 189static double 190Max(struct dataset *ds) 191{ 192 193 return(TAILQ_LAST(&ds->list, pointlist)->val); 194} 195 196static double 197Avg(struct dataset *ds) 198{ 199 200 return(ds->sy / ds->n); 201} 202 203static double 204Median(struct dataset *ds) 205{ 206 int even, i; 207 struct point *p1, *p2; 208 209 if ((ds->n % 2) == 1) { 210 i = (ds->n / 2) + 1; 211 even = 0; 212 } else { 213 i = ds->n / 2; 214 even = 1; 215 } 216 TAILQ_FOREACH(p1, &ds->list, list) { 217 --i; 218 if (i == 0) 219 break; 220 } 221 if (even) { 222 p2 = TAILQ_NEXT(p1, list); 223 return ((p2->val + p1->val) / 2); 224 } 225 return (p1->val); 226} 227 228static double 229Var(struct dataset *ds) 230{ 231 232 return (ds->syy - ds->sy * ds->sy / ds->n) / (ds->n - 1.0); 233} 234 235static double 236Stddev(struct dataset *ds) 237{ 238 239 return sqrt(Var(ds)); 240} 241 242static void 243VitalsHead(void) 244{ 245 246 printf(" N Min Max Median Avg Stddev\n"); 247} 248 249static void 250Vitals(struct dataset *ds, int flag) 251{ 252 253 printf("%c %3d %13.8g %13.8g %13.8g %13.8g %13.8g", symbol[flag], 254 ds->n, Min(ds), Max(ds), Median(ds), Avg(ds), Stddev(ds)); 255 printf("\n"); 256} 257 258static void 259Relative(struct dataset *ds, struct dataset *rs, int confidx) 260{ 261 double spool, s, d, e, t; 262 int i; 263 264 i = ds->n + rs->n - 2; 265 if (i > NSTUDENT) 266 t = student[0][confidx]; 267 else 268 t = student[i][confidx]; 269 spool = (ds->n - 1) * Var(ds) + (rs->n - 1) * Var(rs); 270 spool /= ds->n + rs->n - 2; 271 spool = sqrt(spool); 272 s = spool * sqrt(1.0 / ds->n + 1.0 / rs->n); 273 d = Avg(ds) - Avg(rs); 274 e = t * s; 275 276 if (fabs(d) > e) { 277 278 printf("Difference at %.1f%% confidence\n", studentpct[confidx]); 279 printf(" %g +/- %g\n", d, e); 280 printf(" %g%% +/- %g%%\n", d * 100 / Avg(rs), e * 100 / Avg(rs)); 281 printf(" (Student's t, pooled s = %g)\n", spool); 282 } else { 283 printf("No difference proven at %.1f%% confidence\n", 284 studentpct[confidx]); 285 } 286} 287 288struct plot { 289 double min; 290 double max; 291 double span; 292 int width; 293 294 double x0, dx; 295 int height; 296 char *data; 297 char **bar; 298 int separate_bars; 299 int num_datasets; 300}; 301 302static struct plot plot; 303 304static void 305SetupPlot(int width, int separate, int num_datasets) 306{ 307 struct plot *pl; 308 309 pl = &plot; 310 pl->width = width; 311 pl->height = 0; 312 pl->data = NULL; 313 pl->bar = NULL; 314 pl->separate_bars = separate; 315 pl->num_datasets = num_datasets; 316 pl->min = 999e99; 317 pl->max = -999e99; 318} 319 320static void 321AdjPlot(double a) 322{ 323 struct plot *pl; 324 325 pl = &plot; 326 if (a < pl->min) 327 pl->min = a; 328 if (a > pl->max) 329 pl->max = a; 330 pl->span = pl->max - pl->min; 331 pl->dx = pl->span / (pl->width - 1.0); 332 pl->x0 = pl->min - .5 * pl->dx; 333} 334 335static void 336DimPlot(struct dataset *ds) 337{ 338 AdjPlot(Min(ds)); 339 AdjPlot(Max(ds)); 340 AdjPlot(Avg(ds) - Stddev(ds)); 341 AdjPlot(Avg(ds) + Stddev(ds)); 342} 343 344static void 345PlotSet(struct dataset *ds, int val) 346{ 347 struct plot *pl; 348 struct point *pp; 349 int i, j, m, x; 350 int bar; 351 352 pl = &plot; 353 if (pl->span == 0) 354 return; 355 356 if (pl->separate_bars) 357 bar = val-1; 358 else 359 bar = 0; 360 361 if (pl->bar == NULL) { 362 pl->bar = malloc(sizeof(char *) * pl->num_datasets); 363 memset(pl->bar, 0, sizeof(char*) * pl->num_datasets); 364 } 365 if (pl->bar[bar] == NULL) { 366 pl->bar[bar] = malloc(pl->width); 367 memset(pl->bar[bar], 0, pl->width); 368 } 369 370 m = 1; 371 i = -1; 372 j = 0; 373 TAILQ_FOREACH(pp, &ds->list, list) { 374 x = (pp->val - pl->x0) / pl->dx; 375 if (x == i) { 376 j++; 377 if (j > m) 378 m = j; 379 } else { 380 j = 1; 381 i = x; 382 } 383 } 384 m += 1; 385 if (m > pl->height) { 386 pl->data = realloc(pl->data, pl->width * m); 387 memset(pl->data + pl->height * pl->width, 0, 388 (m - pl->height) * pl->width); 389 } 390 pl->height = m; 391 i = -1; 392 TAILQ_FOREACH(pp, &ds->list, list) { 393 x = (pp->val - pl->x0) / pl->dx; 394 if (x == i) { 395 j++; 396 } else { 397 j = 1; 398 i = x; 399 } 400 pl->data[j * pl->width + x] |= val; 401 } 402 if (!isnan(Stddev(ds))) { 403 x = ((Avg(ds) - Stddev(ds)) - pl->x0) / pl->dx; 404 m = ((Avg(ds) + Stddev(ds)) - pl->x0) / pl->dx; 405 pl->bar[bar][m] = '|'; 406 pl->bar[bar][x] = '|'; 407 for (i = x + 1; i < m; i++) 408 if (pl->bar[bar][i] == 0) 409 pl->bar[bar][i] = '_'; 410 } 411 x = (Median(ds) - pl->x0) / pl->dx; 412 pl->bar[bar][x] = 'M'; 413 x = (Avg(ds) - pl->x0) / pl->dx; 414 pl->bar[bar][x] = 'A'; 415} 416 417static void 418DumpPlot(void) 419{ 420 struct plot *pl; 421 int i, j, k; 422 423 pl = &plot; 424 if (pl->span == 0) { 425 printf("[no plot, span is zero width]\n"); 426 return; 427 } 428 429 putchar('+'); 430 for (i = 0; i < pl->width; i++) 431 putchar('-'); 432 putchar('+'); 433 putchar('\n'); 434 for (i = 1; i < pl->height; i++) { 435 putchar('|'); 436 for (j = 0; j < pl->width; j++) { 437 k = pl->data[(pl->height - i) * pl->width + j]; 438 if (k >= 0 && k < MAX_DS) 439 putchar(symbol[k]); 440 else 441 printf("[%02x]", k); 442 } 443 putchar('|'); 444 putchar('\n'); 445 } 446 for (i = 0; i < pl->num_datasets; i++) { 447 if (pl->bar[i] == NULL) 448 continue; 449 putchar('|'); 450 for (j = 0; j < pl->width; j++) { 451 k = pl->bar[i][j]; 452 if (k == 0) 453 k = ' '; 454 putchar(k); 455 } 456 putchar('|'); 457 putchar('\n'); 458 } 459 putchar('+'); 460 for (i = 0; i < pl->width; i++) 461 putchar('-'); 462 putchar('+'); 463 putchar('\n'); 464} 465 466 467static struct dataset * 468ReadSet(const char *n, int column, const char *delim) 469{ 470 FILE *f; 471 char buf[BUFSIZ], *p, *t; 472 struct dataset *s; 473 double d; 474 int line; 475 int i; 476 477 if (n == NULL) { 478 f = stdin; 479 n = "<stdin>"; 480 } else if (!strcmp(n, "-")) { 481 f = stdin; 482 n = "<stdin>"; 483 } else { 484 f = fopen(n, "r"); 485 } 486 if (f == NULL) 487 err(1, "Cannot open %s", n); 488 s = NewSet(); 489 s->name = strdup(n); 490 line = 0; 491 while (fgets(buf, sizeof buf, f) != NULL) { 492 line++; 493 494 i = strlen(buf); 495 if (buf[i-1] == '\n') 496 buf[i-1] = '\0'; 497 for (i = 1, t = strtok(buf, delim); 498 t != NULL && *t != '#'; 499 i++, t = strtok(NULL, delim)) { 500 if (i == column) 501 break; 502 } 503 if (t == NULL || *t == '#') 504 continue; 505 506 d = strtod(t, &p); 507 if (p != NULL && *p != '\0') 508 err(2, "Invalid data on line %d in %s\n", line, n); 509 if (*buf != '\0') 510 AddPoint(s, d); 511 } 512 fclose(f); 513 if (s->n < 3) { 514 fprintf(stderr, 515 "Dataset %s must contain at least 3 data points\n", n); 516 exit (2); 517 } 518 return (s); 519} 520 521static void 522usage(char const *whine) 523{ 524 int i; 525 526 fprintf(stderr, "%s\n", whine); 527 fprintf(stderr, 528 "Usage: ministat [-C column] [-c confidence] [-d delimiter(s)] [-ns] [-w width] [file [file ...]]\n"); 529 fprintf(stderr, "\tconfidence = {"); 530 for (i = 0; i < NCONF; i++) { 531 fprintf(stderr, "%s%g%%", 532 i ? ", " : "", 533 studentpct[i]); 534 } 535 fprintf(stderr, "}\n"); 536 fprintf(stderr, "\t-C : column number to extract (starts and defaults to 1)\n"); 537 fprintf(stderr, "\t-d : delimiter(s) string, default to \" \\t\"\n"); 538 fprintf(stderr, "\t-n : print summary statistics only, no graph/test\n"); 539 fprintf(stderr, "\t-s : print avg/median/stddev bars on separate lines\n"); 540 fprintf(stderr, "\t-w : width of graph/test output (default 74 or terminal width)\n"); 541 exit (2); 542} 543 544int 545main(int argc, char **argv) 546{ 547 struct dataset *ds[7]; 548 int nds; 549 double a; 550 const char *delim = " \t"; 551 char *p; 552 int c, i, ci; 553 int column = 1; 554 int flag_s = 0; 555 int flag_n = 0; 556 int termwidth = 74; 557 558 if (isatty(STDOUT_FILENO)) { 559 struct winsize wsz; 560 561 if ((p = getenv("COLUMNS")) != NULL && *p != '\0') 562 termwidth = atoi(p); 563 else if (ioctl(STDOUT_FILENO, TIOCGWINSZ, &wsz) != -1 && 564 wsz.ws_col > 0) 565 termwidth = wsz.ws_col - 2; 566 } 567 568 ci = -1; 569 while ((c = getopt(argc, argv, "C:c:d:snw:")) != -1) 570 switch (c) { 571 case 'C': 572 column = strtol(optarg, &p, 10); 573 if (p != NULL && *p != '\0') 574 usage("Invalid column number."); 575 if (column <= 0) 576 usage("Column number should be positive."); 577 break; 578 case 'c': 579 a = strtod(optarg, &p); 580 if (p != NULL && *p != '\0') 581 usage("Not a floating point number"); 582 for (i = 0; i < NCONF; i++) 583 if (a == studentpct[i]) 584 ci = i; 585 if (ci == -1) 586 usage("No support for confidence level"); 587 break; 588 case 'd': 589 if (*optarg == '\0') 590 usage("Can't use empty delimiter string"); 591 delim = optarg; 592 break; 593 case 'n': 594 flag_n = 1; 595 break; 596 case 's': 597 flag_s = 1; 598 break; 599 case 'w': 600 termwidth = strtol(optarg, &p, 10); 601 if (p != NULL && *p != '\0') 602 usage("Invalid width, not a number."); 603 if (termwidth < 0) 604 usage("Unable to move beyond left margin."); 605 break; 606 default: 607 usage("Unknown option"); 608 break; 609 } 610 if (ci == -1) 611 ci = 2; 612 argc -= optind; 613 argv += optind; 614 615 if (argc == 0) { 616 ds[0] = ReadSet("-", column, delim); 617 nds = 1; 618 } else { 619 if (argc > (MAX_DS - 1)) 620 usage("Too many datasets."); 621 nds = argc; 622 for (i = 0; i < nds; i++) 623 ds[i] = ReadSet(argv[i], column, delim); 624 } 625 626 for (i = 0; i < nds; i++) 627 printf("%c %s\n", symbol[i+1], ds[i]->name); 628 629 if (!flag_n) { 630 SetupPlot(termwidth, flag_s, nds); 631 for (i = 0; i < nds; i++) 632 DimPlot(ds[i]); 633 for (i = 0; i < nds; i++) 634 PlotSet(ds[i], i + 1); 635 DumpPlot(); 636 } 637 VitalsHead(); 638 Vitals(ds[0], 1); 639 for (i = 1; i < nds; i++) { 640 Vitals(ds[i], i + 1); 641 if (!flag_n) 642 Relative(ds[i], ds[0], ci); 643 } 644 exit(0); 645} 646