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 * $FreeBSD: head/usr.bin/ministat/ministat.c 335395 2018-06-19 23:43:14Z oshogbo $ 12 */ 13 14 #include <sys/ioctl.h> 15 #include <sys/queue.h> 16 #include <sys/ttycom.h> 17 18 #include <ctype.h> 19 #include <err.h> 20 #include <errno.h> 21 #include <math.h> 22 #include <stdio.h> 23 #include <stdlib.h> 24 #include <string.h> 25 #include <unistd.h> 26 27 #define NSTUDENT 100 28 #define NCONF 6 29 static double const studentpct[] = { 80, 90, 95, 98, 99, 99.5 }; 30 static double student[NSTUDENT + 1][NCONF] = { 31 /* inf */ { 1.282, 1.645, 1.960, 2.326, 2.576, 3.090 }, 32 /* 1. */ { 3.078, 6.314, 12.706, 31.821, 63.657, 318.313 }, 33 /* 2. */ { 1.886, 2.920, 4.303, 6.965, 9.925, 22.327 }, 34 /* 3. */ { 1.638, 2.353, 3.182, 4.541, 5.841, 10.215 }, 35 /* 4. */ { 1.533, 2.132, 2.776, 3.747, 4.604, 7.173 }, 36 /* 5. */ { 1.476, 2.015, 2.571, 3.365, 4.032, 5.893 }, 37 /* 6. */ { 1.440, 1.943, 2.447, 3.143, 3.707, 5.208 }, 38 /* 7. */ { 1.415, 1.895, 2.365, 2.998, 3.499, 4.782 }, 39 /* 8. */ { 1.397, 1.860, 2.306, 2.896, 3.355, 4.499 }, 40 /* 9. */ { 1.383, 1.833, 2.262, 2.821, 3.250, 4.296 }, 41 /* 10. */ { 1.372, 1.812, 2.228, 2.764, 3.169, 4.143 }, 42 /* 11. */ { 1.363, 1.796, 2.201, 2.718, 3.106, 4.024 }, 43 /* 12. */ { 1.356, 1.782, 2.179, 2.681, 3.055, 3.929 }, 44 /* 13. */ { 1.350, 1.771, 2.160, 2.650, 3.012, 3.852 }, 45 /* 14. */ { 1.345, 1.761, 2.145, 2.624, 2.977, 3.787 }, 46 /* 15. */ { 1.341, 1.753, 2.131, 2.602, 2.947, 3.733 }, 47 /* 16. */ { 1.337, 1.746, 2.120, 2.583, 2.921, 3.686 }, 48 /* 17. */ { 1.333, 1.740, 2.110, 2.567, 2.898, 3.646 }, 49 /* 18. */ { 1.330, 1.734, 2.101, 2.552, 2.878, 3.610 }, 50 /* 19. */ { 1.328, 1.729, 2.093, 2.539, 2.861, 3.579 }, 51 /* 20. */ { 1.325, 1.725, 2.086, 2.528, 2.845, 3.552 }, 52 /* 21. */ { 1.323, 1.721, 2.080, 2.518, 2.831, 3.527 }, 53 /* 22. */ { 1.321, 1.717, 2.074, 2.508, 2.819, 3.505 }, 54 /* 23. */ { 1.319, 1.714, 2.069, 2.500, 2.807, 3.485 }, 55 /* 24. */ { 1.318, 1.711, 2.064, 2.492, 2.797, 3.467 }, 56 /* 25. */ { 1.316, 1.708, 2.060, 2.485, 2.787, 3.450 }, 57 /* 26. */ { 1.315, 1.706, 2.056, 2.479, 2.779, 3.435 }, 58 /* 27. */ { 1.314, 1.703, 2.052, 2.473, 2.771, 3.421 }, 59 /* 28. */ { 1.313, 1.701, 2.048, 2.467, 2.763, 3.408 }, 60 /* 29. */ { 1.311, 1.699, 2.045, 2.462, 2.756, 3.396 }, 61 /* 30. */ { 1.310, 1.697, 2.042, 2.457, 2.750, 3.385 }, 62 /* 31. */ { 1.309, 1.696, 2.040, 2.453, 2.744, 3.375 }, 63 /* 32. */ { 1.309, 1.694, 2.037, 2.449, 2.738, 3.365 }, 64 /* 33. */ { 1.308, 1.692, 2.035, 2.445, 2.733, 3.356 }, 65 /* 34. */ { 1.307, 1.691, 2.032, 2.441, 2.728, 3.348 }, 66 /* 35. */ { 1.306, 1.690, 2.030, 2.438, 2.724, 3.340 }, 67 /* 36. */ { 1.306, 1.688, 2.028, 2.434, 2.719, 3.333 }, 68 /* 37. */ { 1.305, 1.687, 2.026, 2.431, 2.715, 3.326 }, 69 /* 38. */ { 1.304, 1.686, 2.024, 2.429, 2.712, 3.319 }, 70 /* 39. */ { 1.304, 1.685, 2.023, 2.426, 2.708, 3.313 }, 71 /* 40. */ { 1.303, 1.684, 2.021, 2.423, 2.704, 3.307 }, 72 /* 41. */ { 1.303, 1.683, 2.020, 2.421, 2.701, 3.301 }, 73 /* 42. */ { 1.302, 1.682, 2.018, 2.418, 2.698, 3.296 }, 74 /* 43. */ { 1.302, 1.681, 2.017, 2.416, 2.695, 3.291 }, 75 /* 44. */ { 1.301, 1.680, 2.015, 2.414, 2.692, 3.286 }, 76 /* 45. */ { 1.301, 1.679, 2.014, 2.412, 2.690, 3.281 }, 77 /* 46. */ { 1.300, 1.679, 2.013, 2.410, 2.687, 3.277 }, 78 /* 47. */ { 1.300, 1.678, 2.012, 2.408, 2.685, 3.273 }, 79 /* 48. */ { 1.299, 1.677, 2.011, 2.407, 2.682, 3.269 }, 80 /* 49. */ { 1.299, 1.677, 2.010, 2.405, 2.680, 3.265 }, 81 /* 50. */ { 1.299, 1.676, 2.009, 2.403, 2.678, 3.261 }, 82 /* 51. */ { 1.298, 1.675, 2.008, 2.402, 2.676, 3.258 }, 83 /* 52. */ { 1.298, 1.675, 2.007, 2.400, 2.674, 3.255 }, 84 /* 53. */ { 1.298, 1.674, 2.006, 2.399, 2.672, 3.251 }, 85 /* 54. */ { 1.297, 1.674, 2.005, 2.397, 2.670, 3.248 }, 86 /* 55. */ { 1.297, 1.673, 2.004, 2.396, 2.668, 3.245 }, 87 /* 56. */ { 1.297, 1.673, 2.003, 2.395, 2.667, 3.242 }, 88 /* 57. */ { 1.297, 1.672, 2.002, 2.394, 2.665, 3.239 }, 89 /* 58. */ { 1.296, 1.672, 2.002, 2.392, 2.663, 3.237 }, 90 /* 59. */ { 1.296, 1.671, 2.001, 2.391, 2.662, 3.234 }, 91 /* 60. */ { 1.296, 1.671, 2.000, 2.390, 2.660, 3.232 }, 92 /* 61. */ { 1.296, 1.670, 2.000, 2.389, 2.659, 3.229 }, 93 /* 62. */ { 1.295, 1.670, 1.999, 2.388, 2.657, 3.227 }, 94 /* 63. */ { 1.295, 1.669, 1.998, 2.387, 2.656, 3.225 }, 95 /* 64. */ { 1.295, 1.669, 1.998, 2.386, 2.655, 3.223 }, 96 /* 65. */ { 1.295, 1.669, 1.997, 2.385, 2.654, 3.220 }, 97 /* 66. */ { 1.295, 1.668, 1.997, 2.384, 2.652, 3.218 }, 98 /* 67. */ { 1.294, 1.668, 1.996, 2.383, 2.651, 3.216 }, 99 /* 68. */ { 1.294, 1.668, 1.995, 2.382, 2.650, 3.214 }, 100 /* 69. */ { 1.294, 1.667, 1.995, 2.382, 2.649, 3.213 }, 101 /* 70. */ { 1.294, 1.667, 1.994, 2.381, 2.648, 3.211 }, 102 /* 71. */ { 1.294, 1.667, 1.994, 2.380, 2.647, 3.209 }, 103 /* 72. */ { 1.293, 1.666, 1.993, 2.379, 2.646, 3.207 }, 104 /* 73. */ { 1.293, 1.666, 1.993, 2.379, 2.645, 3.206 }, 105 /* 74. */ { 1.293, 1.666, 1.993, 2.378, 2.644, 3.204 }, 106 /* 75. */ { 1.293, 1.665, 1.992, 2.377, 2.643, 3.202 }, 107 /* 76. */ { 1.293, 1.665, 1.992, 2.376, 2.642, 3.201 }, 108 /* 77. */ { 1.293, 1.665, 1.991, 2.376, 2.641, 3.199 }, 109 /* 78. */ { 1.292, 1.665, 1.991, 2.375, 2.640, 3.198 }, 110 /* 79. */ { 1.292, 1.664, 1.990, 2.374, 2.640, 3.197 }, 111 /* 80. */ { 1.292, 1.664, 1.990, 2.374, 2.639, 3.195 }, 112 /* 81. */ { 1.292, 1.664, 1.990, 2.373, 2.638, 3.194 }, 113 /* 82. */ { 1.292, 1.664, 1.989, 2.373, 2.637, 3.193 }, 114 /* 83. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.191 }, 115 /* 84. */ { 1.292, 1.663, 1.989, 2.372, 2.636, 3.190 }, 116 /* 85. */ { 1.292, 1.663, 1.988, 2.371, 2.635, 3.189 }, 117 /* 86. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.188 }, 118 /* 87. */ { 1.291, 1.663, 1.988, 2.370, 2.634, 3.187 }, 119 /* 88. */ { 1.291, 1.662, 1.987, 2.369, 2.633, 3.185 }, 120 /* 89. */ { 1.291, 1.662, 1.987, 2.369, 2.632, 3.184 }, 121 /* 90. */ { 1.291, 1.662, 1.987, 2.368, 2.632, 3.183 }, 122 /* 91. */ { 1.291, 1.662, 1.986, 2.368, 2.631, 3.182 }, 123 /* 92. */ { 1.291, 1.662, 1.986, 2.368, 2.630, 3.181 }, 124 /* 93. */ { 1.291, 1.661, 1.986, 2.367, 2.630, 3.180 }, 125 /* 94. */ { 1.291, 1.661, 1.986, 2.367, 2.629, 3.179 }, 126 /* 95. */ { 1.291, 1.661, 1.985, 2.366, 2.629, 3.178 }, 127 /* 96. */ { 1.290, 1.661, 1.985, 2.366, 2.628, 3.177 }, 128 /* 97. */ { 1.290, 1.661, 1.985, 2.365, 2.627, 3.176 }, 129 /* 98. */ { 1.290, 1.661, 1.984, 2.365, 2.627, 3.175 }, 130 /* 99. */ { 1.290, 1.660, 1.984, 2.365, 2.626, 3.175 }, 131 /* 100. */ { 1.290, 1.660, 1.984, 2.364, 2.626, 3.174 } 132 }; 133 134 #define MAX_DS 8 135 static char symbol[MAX_DS] = { ' ', 'x', '+', '*', '%', '#', '@', 'O' }; 136 137 struct dataset { 138 char *name; 139 double *points; 140 unsigned lpoints; 141 double sy, syy; 142 unsigned n; 143 }; 144 145 static struct dataset * 146 NewSet(void) 147 { 148 struct dataset *ds; 149 150 ds = calloc(1, sizeof *ds); 151 ds->lpoints = 100000; 152 ds->points = calloc(sizeof *ds->points, ds->lpoints); 153 return(ds); 154 } 155 156 static void 157 AddPoint(struct dataset *ds, double a) 158 { 159 double *dp; 160 161 if (ds->n >= ds->lpoints) { 162 dp = ds->points; 163 ds->lpoints *= 4; 164 ds->points = calloc(sizeof *ds->points, ds->lpoints); 165 memcpy(ds->points, dp, sizeof *dp * ds->n); 166 free(dp); 167 } 168 ds->points[ds->n++] = a; 169 ds->sy += a; 170 ds->syy += a * a; 171 } 172 173 static double 174 Min(struct dataset *ds) 175 { 176 177 return (ds->points[0]); 178 } 179 180 static double 181 Max(struct dataset *ds) 182 { 183 184 return (ds->points[ds->n - 1]); 185 } 186 187 static double 188 Avg(struct dataset *ds) 189 { 190 191 return(ds->sy / ds->n); 192 } 193 194 static double 195 Median(struct dataset *ds) 196 { 197 if ((ds->n % 2) == 0) 198 return ((ds->points[ds->n / 2] + (ds->points[(ds->n / 2) - 1])) / 2); 199 else 200 return (ds->points[ds->n / 2]); 201 } 202 203 static double 204 Var(struct dataset *ds) 205 { 206 207 /* 208 * Due to limited precision it is possible that sy^2/n > syy, 209 * but variance cannot actually be negative. 210 */ 211 if (ds->syy <= ds->sy * ds->sy / ds->n) 212 return (0); 213 return (ds->syy - ds->sy * ds->sy / ds->n) / (ds->n - 1.0); 214 } 215 216 static double 217 Stddev(struct dataset *ds) 218 { 219 220 return sqrt(Var(ds)); 221 } 222 223 static void 224 VitalsHead(void) 225 { 226 227 printf(" N Min Max Median Avg Stddev\n"); 228 } 229 230 static void 231 Vitals(struct dataset *ds, int flag) 232 { 233 234 printf("%c %3d %13.8g %13.8g %13.8g %13.8g %13.8g", symbol[flag], 235 ds->n, Min(ds), Max(ds), Median(ds), Avg(ds), Stddev(ds)); 236 printf("\n"); 237 } 238 239 static void 240 Relative(struct dataset *ds, struct dataset *rs, int confidx) 241 { 242 double spool, s, d, e, t; 243 double re; 244 int i; 245 246 i = ds->n + rs->n - 2; 247 if (i > NSTUDENT) 248 t = student[0][confidx]; 249 else 250 t = student[i][confidx]; 251 spool = (ds->n - 1) * Var(ds) + (rs->n - 1) * Var(rs); 252 spool /= ds->n + rs->n - 2; 253 spool = sqrt(spool); 254 s = spool * sqrt(1.0 / ds->n + 1.0 / rs->n); 255 d = Avg(ds) - Avg(rs); 256 e = t * s; 257 258 re = (ds->n - 1) * Var(ds) + (rs->n - 1) * Var(rs) * 259 (Avg(ds) * Avg(ds)) / (Avg(rs) * Avg(rs)); 260 re *= (ds->n + rs->n) / (ds->n * rs->n * (ds->n + rs->n - 2.0)); 261 re = t * sqrt(re); 262 263 if (fabs(d) > e) { 264 printf("Difference at %.1f%% confidence\n", studentpct[confidx]); 265 printf(" %g +/- %g\n", d, e); 266 printf(" %g%% +/- %g%%\n", d * 100 / Avg(rs), re * 100 / Avg(rs)); 267 printf(" (Student's t, pooled s = %g)\n", spool); 268 } else { 269 printf("No difference proven at %.1f%% confidence\n", 270 studentpct[confidx]); 271 } 272 } 273 274 struct plot { 275 double min; 276 double max; 277 double span; 278 int width; 279 280 double x0, dx; 281 int height; 282 char *data; 283 char **bar; 284 int separate_bars; 285 int num_datasets; 286 }; 287 288 static struct plot plot; 289 290 static void 291 SetupPlot(int width, int separate, int num_datasets) 292 { 293 struct plot *pl; 294 295 pl = &plot; 296 pl->width = width; 297 pl->height = 0; 298 pl->data = NULL; 299 pl->bar = NULL; 300 pl->separate_bars = separate; 301 pl->num_datasets = num_datasets; 302 pl->min = 999e99; 303 pl->max = -999e99; 304 } 305 306 static void 307 AdjPlot(double a) 308 { 309 struct plot *pl; 310 311 pl = &plot; 312 if (a < pl->min) 313 pl->min = a; 314 if (a > pl->max) 315 pl->max = a; 316 pl->span = pl->max - pl->min; 317 pl->dx = pl->span / (pl->width - 1.0); 318 pl->x0 = pl->min - .5 * pl->dx; 319 } 320 321 static void 322 DimPlot(struct dataset *ds) 323 { 324 AdjPlot(Min(ds)); 325 AdjPlot(Max(ds)); 326 AdjPlot(Avg(ds) - Stddev(ds)); 327 AdjPlot(Avg(ds) + Stddev(ds)); 328 } 329 330 static void 331 PlotSet(struct dataset *ds, int val) 332 { 333 struct plot *pl; 334 int i, j, m, x; 335 unsigned n; 336 int bar; 337 338 pl = &plot; 339 if (pl->span == 0) 340 return; 341 342 if (pl->separate_bars) 343 bar = val-1; 344 else 345 bar = 0; 346 347 if (pl->bar == NULL) 348 pl->bar = calloc(sizeof(char *), pl->num_datasets); 349 if (pl->bar[bar] == NULL) { 350 pl->bar[bar] = malloc(pl->width); 351 memset(pl->bar[bar], 0, pl->width); 352 } 353 354 m = 1; 355 i = -1; 356 j = 0; 357 for (n = 0; n < ds->n; n++) { 358 x = (ds->points[n] - pl->x0) / pl->dx; 359 if (x == i) { 360 j++; 361 if (j > m) 362 m = j; 363 } else { 364 j = 1; 365 i = x; 366 } 367 } 368 m += 1; 369 if (m > pl->height) { 370 pl->data = realloc(pl->data, pl->width * m); 371 memset(pl->data + pl->height * pl->width, 0, 372 (m - pl->height) * pl->width); 373 } 374 pl->height = m; 375 i = -1; 376 for (n = 0; n < ds->n; n++) { 377 x = (ds->points[n] - pl->x0) / pl->dx; 378 if (x == i) { 379 j++; 380 } else { 381 j = 1; 382 i = x; 383 } 384 pl->data[j * pl->width + x] |= val; 385 } 386 if (!isnan(Stddev(ds))) { 387 x = ((Avg(ds) - Stddev(ds)) - pl->x0) / pl->dx; 388 m = ((Avg(ds) + Stddev(ds)) - pl->x0) / pl->dx; 389 pl->bar[bar][m] = '|'; 390 pl->bar[bar][x] = '|'; 391 for (i = x + 1; i < m; i++) 392 if (pl->bar[bar][i] == 0) 393 pl->bar[bar][i] = '_'; 394 } 395 x = (Median(ds) - pl->x0) / pl->dx; 396 pl->bar[bar][x] = 'M'; 397 x = (Avg(ds) - pl->x0) / pl->dx; 398 pl->bar[bar][x] = 'A'; 399 } 400 401 static void 402 DumpPlot(void) 403 { 404 struct plot *pl; 405 int i, j, k; 406 407 pl = &plot; 408 if (pl->span == 0) { 409 printf("[no plot, span is zero width]\n"); 410 return; 411 } 412 413 putchar('+'); 414 for (i = 0; i < pl->width; i++) 415 putchar('-'); 416 putchar('+'); 417 putchar('\n'); 418 for (i = 1; i < pl->height; i++) { 419 putchar('|'); 420 for (j = 0; j < pl->width; j++) { 421 k = pl->data[(pl->height - i) * pl->width + j]; 422 if (k >= 0 && k < MAX_DS) 423 putchar(symbol[k]); 424 else 425 printf("[%02x]", k); 426 } 427 putchar('|'); 428 putchar('\n'); 429 } 430 for (i = 0; i < pl->num_datasets; i++) { 431 if (pl->bar[i] == NULL) 432 continue; 433 putchar('|'); 434 for (j = 0; j < pl->width; j++) { 435 k = pl->bar[i][j]; 436 if (k == 0) 437 k = ' '; 438 putchar(k); 439 } 440 putchar('|'); 441 putchar('\n'); 442 } 443 putchar('+'); 444 for (i = 0; i < pl->width; i++) 445 putchar('-'); 446 putchar('+'); 447 putchar('\n'); 448 } 449 450 static int 451 dbl_cmp(const void *a, const void *b) 452 { 453 const double *aa = a; 454 const double *bb = b; 455 456 if (*aa < *bb) 457 return (-1); 458 else if (*aa > *bb) 459 return (1); 460 else 461 return (0); 462 } 463 464 static struct dataset * 465 ReadSet(FILE *f, const char *n, int column, const char *delim) 466 { 467 char buf[BUFSIZ], *p, *t; 468 struct dataset *s; 469 double d; 470 int line; 471 int i; 472 473 s = NewSet(); 474 s->name = strdup(n); 475 line = 0; 476 while (fgets(buf, sizeof buf, f) != NULL) { 477 line++; 478 479 i = strlen(buf); 480 while (i > 0 && isspace(buf[i - 1])) 481 buf[--i] = '\0'; 482 for (i = 1, t = strtok(buf, delim); 483 t != NULL && *t != '#'; 484 i++, t = strtok(NULL, delim)) { 485 if (i == column) 486 break; 487 } 488 if (t == NULL || *t == '#') 489 continue; 490 491 d = strtod(t, &p); 492 if (p != NULL && *p != '\0') 493 errx(2, "Invalid data on line %d in %s", line, n); 494 if (*buf != '\0') 495 AddPoint(s, d); 496 } 497 if (s->n < 3) { 498 fprintf(stderr, 499 "Dataset %s must contain at least 3 data points\n", n); 500 exit (2); 501 } 502 qsort(s->points, s->n, sizeof *s->points, dbl_cmp); 503 return (s); 504 } 505 506 static void 507 usage(char const *whine) 508 { 509 int i; 510 511 fprintf(stderr, "%s\n", whine); 512 fprintf(stderr, 513 "Usage: ministat [-C column] [-c confidence] [-d delimiter(s)] [-Ans] [-w width] [file [file ...]]\n"); 514 fprintf(stderr, "\tconfidence = {"); 515 for (i = 0; i < NCONF; i++) { 516 fprintf(stderr, "%s%g%%", 517 i ? ", " : "", 518 studentpct[i]); 519 } 520 fprintf(stderr, "}\n"); 521 fprintf(stderr, "\t-A : print statistics only. suppress the graph.\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"); 527 exit (2); 528 } 529 530 int 531 main(int argc, char **argv) 532 { 533 const char *setfilenames[MAX_DS - 1]; 534 struct dataset *ds[MAX_DS - 1]; 535 FILE *setfiles[MAX_DS - 1]; 536 int nds; 537 double a; 538 const char *delim = " \t"; 539 char *p; 540 int c, i, ci; 541 int column = 1; 542 int flag_s = 0; 543 int flag_n = 0; 544 int termwidth = 76; 545 int suppress_plot = 0; 546 547 if (isatty(STDOUT_FILENO)) { 548 struct winsize wsz; 549 550 if ((p = getenv("COLUMNS")) != NULL && *p != '\0') 551 termwidth = atoi(p); 552 else if (ioctl(STDOUT_FILENO, TIOCGWINSZ, &wsz) != -1 && 553 wsz.ws_col > 0) 554 termwidth = wsz.ws_col; 555 } 556 557 ci = -1; 558 while ((c = getopt(argc, argv, "AC:c:d:snw:")) != -1) 559 switch (c) { 560 case 'A': 561 suppress_plot = 1; 562 break; 563 case 'C': 564 column = strtol(optarg, &p, 10); 565 if (p != NULL && *p != '\0') 566 usage("Invalid column number."); 567 if (column <= 0) 568 usage("Column number should be positive."); 569 break; 570 case 'c': 571 a = strtod(optarg, &p); 572 if (p != NULL && *p != '\0') 573 usage("Not a floating point number"); 574 for (i = 0; i < NCONF; i++) 575 if (a == studentpct[i]) 576 ci = i; 577 if (ci == -1) 578 usage("No support for confidence level"); 579 break; 580 case 'd': 581 if (*optarg == '\0') 582 usage("Can't use empty delimiter string"); 583 delim = optarg; 584 break; 585 case 'n': 586 flag_n = 1; 587 break; 588 case 's': 589 flag_s = 1; 590 break; 591 case 'w': 592 termwidth = strtol(optarg, &p, 10); 593 if (p != NULL && *p != '\0') 594 usage("Invalid width, not a number."); 595 if (termwidth < 0) 596 usage("Unable to move beyond left margin."); 597 break; 598 default: 599 usage("Unknown option"); 600 break; 601 } 602 if (ci == -1) 603 ci = 2; 604 argc -= optind; 605 argv += optind; 606 607 if (argc == 0) { 608 setfilenames[0] = "<stdin>"; 609 setfiles[0] = stdin; 610 nds = 1; 611 } else { 612 if (argc > (MAX_DS - 1)) 613 usage("Too many datasets."); 614 nds = argc; 615 for (i = 0; i < nds; i++) { 616 setfilenames[i] = argv[i]; 617 setfiles[i] = fopen(argv[i], "r"); 618 if (setfiles[i] == NULL) 619 err(2, "Cannot open %s", argv[i]); 620 } 621 } 622 623 for (i = 0; i < nds; i++) { 624 ds[i] = ReadSet(setfiles[i], setfilenames[i], column, delim); 625 fclose(setfiles[i]); 626 } 627 628 for (i = 0; i < nds; i++) 629 printf("%c %s\n", symbol[i+1], ds[i]->name); 630 631 if (!flag_n && !suppress_plot) { 632 /* The plot frame will occupy 2 columns. */ 633 SetupPlot(termwidth - 2, flag_s, nds); 634 for (i = 0; i < nds; i++) 635 DimPlot(ds[i]); 636 for (i = 0; i < nds; i++) 637 PlotSet(ds[i], i + 1); 638 DumpPlot(); 639 } 640 VitalsHead(); 641 Vitals(ds[0], 1); 642 for (i = 1; i < nds; i++) { 643 Vitals(ds[i], i + 1); 644 if (!flag_n) 645 Relative(ds[i], ds[0], ci); 646 } 647 exit(0); 648 } 649