R version 2.8.0 (2008-10-20) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. Natural language support but running in an English locale R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. 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,56.330 + ,17 + ,1 + ,31.220 + ,15 + ,1 + ,33.300 + ,15 + ,1 + ,26.080 + ,16 + ,0 + ,36.450 + ,16 + ,1 + ,37.990 + ,15 + ,1 + ,40.860 + ,18 + ,0 + ,28.870 + ,15 + ,1 + ,40.700 + ,16 + ,0 + ,39.600 + ,17 + ,0 + ,42.990 + ,16 + ,0 + ,29.810 + ,16 + ,1 + ,22.640 + ,15 + ,1 + ,44.040 + ,18 + ,1 + ,22.780 + ,15 + ,0 + ,45.040 + ,16 + ,0 + ,56.380 + ,17 + ,1 + ,48.720 + ,16 + ,1 + ,42.700 + ,16 + ,1 + ,37.270 + ,15 + ,0 + ,28.530 + ,18 + ,1 + ,27.950 + ,16 + ,0 + ,32.110 + ,15) + ,dim=c(3 + ,654) + ,dimnames=list(c('Smoke' + ,'FEV' + ,'Age') + ,1:654)) > y <- array(NA,dim=c(3,654),dimnames=list(c('Smoke','FEV','Age'),1:654)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = 'No Linear Trend' > par2 = 'Do not include Seasonal Dummies' > par1 = '2' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > library(lattice) > library(lmtest) Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from package:base : as.Date.numeric > n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test > par1 <- as.numeric(par1) > x <- t(y) > k <- length(x[1,]) > n <- length(x[,1]) > x1 <- cbind(x[,par1], x[,1:k!=par1]) > mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1]) > colnames(x1) <- mycolnames #colnames(x)[par1] > x <- x1 > if (par3 == 'First Differences'){ + x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep=''))) + for (i in 1:n-1) { + for (j in 1:k) { + x2[i,j] <- x[i+1,j] - x[i,j] + } + } + x <- x2 + } > if (par2 == 'Include Monthly Dummies'){ + x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep =''))) + for (i in 1:11){ + x2[seq(i,n,12),i] <- 1 + } + x <- cbind(x, x2) + } > if (par2 == 'Include Quarterly Dummies'){ + x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep =''))) + for (i in 1:3){ + x2[seq(i,n,4),i] <- 1 + } + x <- cbind(x, x2) + } > k <- length(x[1,]) > if (par3 == 'Linear Trend'){ + x <- cbind(x, c(1:n)) + colnames(x)[k+1] <- 't' + } > x FEV Smoke Age 1 17.080 0 9 2 17.240 0 8 3 17.200 0 7 4 15.580 0 9 5 18.950 0 9 6 23.360 0 8 7 19.190 0 6 8 14.150 0 6 9 19.870 0 8 10 19.420 0 9 11 16.020 0 6 12 17.350 0 8 13 21.930 0 8 14 21.180 0 8 15 22.580 0 8 16 19.320 0 7 17 14.720 0 5 18 18.780 0 6 19 23.520 0 9 20 26.040 0 9 21 14.000 0 5 22 12.560 0 5 23 0.839 0 4 24 25.780 0 7 25 29.880 0 9 26 14.040 0 3 27 23.480 0 9 28 17.550 0 5 29 29.800 0 8 30 21.000 0 9 31 12.820 0 5 32 30.000 0 9 33 26.730 0 8 34 20.930 0 7 35 16.120 0 5 36 21.750 0 8 37 27.250 0 9 38 20.710 0 8 39 15.470 0 8 40 20.040 0 8 41 31.350 0 9 42 24.200 0 8 43 17.760 0 5 44 19.310 0 8 45 13.430 0 5 46 20.760 0 9 47 16.240 0 7 48 13.440 0 8 49 16.500 0 6 50 27.320 0 8 51 20.170 0 5 52 27.970 0 9 53 35.560 0 9 54 17.030 0 8 55 16.340 0 6 56 25.700 0 9 57 30.160 0 9 58 24.190 0 7 59 15.690 0 4 60 16.980 0 8 61 21.230 0 8 62 24.810 0 8 63 14.810 0 6 64 15.770 0 4 65 19.400 0 8 66 17.470 0 6 67 20.690 0 9 68 16.310 0 7 69 15.360 0 5 70 25.600 0 9 71 19.620 0 8 72 25.310 0 8 73 27.150 0 9 74 24.570 0 9 75 20.900 0 9 76 17.890 0 7 77 18.580 0 5 78 14.520 0 5 79 38.420 0 9 80 17.190 0 6 81 21.110 0 7 82 16.950 0 6 83 22.110 0 8 84 17.940 0 8 85 19.170 0 7 86 21.440 0 8 87 12.530 0 7 88 26.590 0 9 89 15.800 0 5 90 21.260 0 9 91 30.290 0 9 92 29.640 0 9 93 16.110 0 7 94 22.150 0 8 95 23.880 0 8 96 21.960 0 9 97 17.510 0 9 98 21.650 0 9 99 16.820 0 7 100 15.230 0 8 101 12.920 0 8 102 16.490 0 7 103 25.880 0 9 104 0.796 0 4 105 25.740 0 9 106 19.790 0 6 107 23.540 0 8 108 17.180 0 6 109 17.420 0 7 110 16.030 0 7 111 26.390 0 8 112 18.290 0 7 113 20.840 0 7 114 22.200 0 7 115 14.730 0 7 116 23.410 0 8 117 16.980 0 7 118 11.960 0 5 119 18.720 0 8 120 22.190 0 7 121 24.200 0 9 122 18.270 0 7 123 14.610 0 7 124 13.380 0 6 125 20.900 0 8 126 16.970 0 8 127 15.620 0 8 128 20.400 0 9 129 16.090 0 7 130 24.580 0 8 131 26.500 0 9 132 14.290 0 8 133 16.750 0 8 134 19.470 0 9 135 20.690 0 8 136 15.720 0 6 137 13.480 0 6 138 22.880 0 8 139 17.730 0 9 140 0.791 0 5 141 19.050 0 7 142 24.630 0 9 143 14.310 0 6 144 26.310 0 9 145 31.140 0 9 146 21.350 0 9 147 15.270 0 6 148 22.930 0 8 149 30.420 0 9 150 29.270 0 8 151 26.650 0 8 152 23.010 0 9 153 24.600 0 9 154 25.920 0 9 155 17.500 0 7 156 17.590 0 8 157 15.360 0 6 158 22.590 0 9 159 20.480 0 9 160 25.710 0 9 161 20.460 0 7 162 17.800 0 8 163 15.520 0 5 164 19.530 0 8 165 28.930 0 9 166 17.130 0 6 167 28.510 0 9 168 16.240 0 6 169 26.310 0 8 170 18.190 0 5 171 16.580 0 7 172 21.580 0 7 173 17.890 0 4 174 30.040 0 9 175 25.030 0 8 176 19.330 0 9 177 20.910 0 9 178 23.160 0 9 179 17.040 0 5 180 16.060 0 9 181 11.650 0 7 182 21.020 0 6 183 23.200 0 9 184 22.300 0 9 185 17.160 0 9 186 17.900 0 7 187 11.460 0 5 188 21.870 0 8 189 27.170 0 9 190 17.960 0 7 191 19.530 1 9 192 13.350 0 8 193 21.190 0 9 194 16.660 0 6 195 18.260 0 6 196 27.090 0 8 197 28.710 0 9 198 10.920 0 5 199 22.620 0 6 200 21.040 0 6 201 21.660 0 9 202 16.900 0 7 203 29.730 0 9 204 21.450 0 8 205 19.710 0 5 206 20.950 0 7 207 16.970 0 6 208 24.550 0 9 209 19.200 0 7 210 21.640 0 9 211 21.300 0 9 212 29.930 0 8 213 25.290 0 9 214 17.260 0 7 215 24.420 0 9 216 11.020 0 4 217 20.560 0 9 218 18.080 0 5 219 23.050 0 8 220 19.690 0 9 221 15.560 0 8 222 10.720 0 3 223 20.420 0 9 224 15.120 0 8 225 14.230 0 6 226 36.810 0 9 227 19.910 0 8 228 18.970 0 8 229 13.700 0 7 230 13.380 0 6 231 20.160 0 8 232 26.390 0 9 233 13.890 0 4 234 16.120 0 7 235 21.350 0 8 236 26.810 0 8 237 32.230 0 9 238 17.960 0 6 239 20.100 0 8 240 15.230 0 6 241 17.440 0 8 242 24.850 0 9 243 23.350 0 8 244 14.150 0 7 245 20.760 0 9 246 24.350 0 8 247 17.280 0 7 248 28.500 0 9 249 18.440 0 8 250 17.540 0 9 251 13.430 0 6 252 23.030 0 8 253 22.460 0 9 254 24.760 0 8 255 32.390 0 9 256 24.570 0 9 257 23.820 0 8 258 16.400 0 7 259 15.890 0 5 260 20.560 0 7 261 22.260 0 8 262 18.860 0 9 263 28.330 0 9 264 17.150 0 6 265 26.310 0 8 266 25.500 0 7 267 19.120 0 9 268 18.770 0 7 269 19.350 0 7 270 15.390 0 5 271 28.030 0 9 272 29.230 0 9 273 23.580 0 8 274 20.940 0 8 275 18.550 0 9 276 15.350 0 6 277 21.350 0 7 278 19.300 0 5 279 21.820 0 9 280 13.590 0 5 281 20.020 0 7 282 16.990 0 6 283 25.000 0 8 284 23.660 0 7 285 20.690 0 8 286 14.180 0 4 287 23.330 0 8 288 15.140 0 5 289 17.580 0 8 290 25.350 0 7 291 25.640 0 7 292 24.870 0 9 293 15.910 0 9 294 16.240 0 8 295 27.980 0 9 296 16.910 0 6 297 19.990 0 8 298 18.690 0 9 299 10.040 0 4 300 14.270 0 6 301 18.260 0 7 302 26.880 0 9 303 16.570 0 8 304 16.720 0 6 305 20.150 0 8 306 23.710 0 7 307 21.150 0 5 308 23.280 0 8 309 14.950 0 7 310 28.840 0 11 311 23.280 0 10 312 33.810 0 14 313 21.700 0 11 314 34.700 0 11 315 30.580 0 12 316 18.110 0 10 317 25.240 0 11 318 26.420 0 10 319 37.410 0 14 320 43.360 0 13 321 48.420 0 14 322 45.500 0 12 323 28.410 0 12 324 31.660 0 10 325 38.160 0 13 326 25.610 0 10 327 36.540 0 11 328 24.810 0 10 329 26.650 0 11 330 32.030 0 10 331 35.490 0 13 332 22.360 1 14 333 32.220 0 11 334 31.110 0 10 335 34.900 0 11 336 31.470 0 13 337 25.200 0 10 338 22.920 0 10 339 28.890 0 12 340 22.460 0 10 341 19.370 0 10 342 26.460 0 10 343 29.570 0 11 344 40.070 0 11 345 23.860 0 11 346 32.510 0 10 347 27.620 0 11 348 30.110 0 11 349 43.050 0 13 350 39.060 0 13 351 35.830 0 11 352 32.360 0 11 353 34.360 0 14 354 30.580 0 11 355 30.070 0 10 356 34.890 0 10 357 28.640 0 10 358 34.280 1 14 359 28.190 0 13 360 22.500 0 10 361 46.830 0 14 362 23.520 0 10 363 31.080 0 11 364 39.940 0 13 365 43.930 0 12 366 32.080 1 13 367 25.920 0 10 368 31.930 0 13 369 16.940 1 11 370 39.570 1 14 371 23.460 0 11 372 47.890 1 13 373 35.150 0 11 374 27.540 0 11 375 27.200 0 10 376 24.630 0 11 377 26.330 0 11 378 30.480 0 10 379 31.110 0 11 380 37.450 0 13 381 23.840 1 12 382 20.940 0 10 383 31.830 0 10 384 30.740 1 14 385 39.770 0 11 386 33.540 0 10 387 34.110 0 11 388 23.870 1 10 389 31.710 0 11 390 38.870 0 13 391 26.460 0 13 392 25.040 0 10 393 35.870 0 11 394 38.450 0 11 395 29.710 0 12 396 28.910 0 10 397 18.230 0 10 398 24.170 0 11 399 21.750 0 10 400 27.350 0 11 401 42.730 0 14 402 29.760 0 13 403 38.350 1 12 404 40.650 0 11 405 23.180 0 11 406 35.960 0 11 407 33.950 0 14 408 27.510 0 12 409 26.730 0 10 410 25.560 0 12 411 25.420 0 11 412 26.080 0 10 413 23.540 0 11 414 25.990 1 13 415 14.580 0 10 416 37.950 0 10 417 24.910 0 11 418 30.600 0 13 419 25.450 0 10 420 29.930 0 11 421 33.050 0 10 422 47.560 1 13 423 37.740 0 11 424 28.550 0 10 425 29.880 0 11 426 24.980 0 11 427 31.690 0 14 428 28.870 0 11 429 27.040 0 13 430 35.150 0 11 431 34.250 0 11 432 22.870 0 10 433 24.340 0 13 434 23.650 0 10 435 30.860 1 13 436 26.960 0 10 437 28.680 0 12 438 28.130 0 10 439 43.090 1 14 440 32.550 0 12 441 34.130 1 10 442 45.930 0 11 443 41.110 0 14 444 19.160 0 12 445 18.580 0 10 446 29.750 1 10 447 33.500 0 10 448 29.010 0 10 449 22.410 0 12 450 42.250 0 13 451 32.230 0 11 452 52.240 0 12 453 40.730 0 11 454 40.800 0 12 455 26.060 0 11 456 31.690 1 11 457 44.110 0 12 458 37.910 0 12 459 30.890 0 13 460 24.650 0 11 461 33.430 1 12 462 32.000 0 10 463 29.130 0 12 464 48.770 0 13 465 23.580 0 10 466 32.790 0 12 467 25.810 0 10 468 23.470 0 12 469 26.910 0 10 470 28.270 0 11 471 18.730 0 10 472 37.510 1 12 473 25.380 0 14 474 27.580 0 10 475 30.500 0 10 476 30.790 0 12 477 22.010 0 10 478 18.580 0 10 479 22.160 1 13 480 34.030 0 12 481 35.010 0 12 482 25.780 0 11 483 30.780 1 13 484 31.860 1 12 485 16.650 0 10 486 20.810 0 11 487 29.740 0 11 488 32.970 1 13 489 40.730 0 12 490 44.480 0 13 491 39.840 0 13 492 22.500 0 10 493 27.520 0 12 494 23.040 1 12 495 36.800 0 14 496 31.020 1 11 497 28.620 0 10 498 26.770 1 13 499 30.230 0 11 500 36.810 0 11 501 32.550 0 13 502 36.920 0 12 503 23.560 0 10 504 45.910 0 10 505 30.820 0 12 506 32.970 1 13 507 32.580 0 11 508 22.160 0 10 509 32.470 0 11 510 43.240 0 11 511 23.620 0 11 512 25.630 0 11 513 32.060 0 11 514 35.850 0 14 515 47.200 0 12 516 33.310 0 13 517 50.830 0 13 518 34.980 1 10 519 24.170 0 12 520 23.640 0 10 521 23.410 0 10 522 27.590 1 12 523 29.530 1 11 524 32.310 0 12 525 30.780 0 11 526 33.690 0 11 527 35.290 0 12 528 28.660 0 12 529 28.910 0 14 530 30.220 0 11 531 31.270 0 10 532 28.660 0 11 533 26.050 0 12 534 30.560 0 13 535 25.690 0 12 536 25.010 0 11 537 33.200 0 11 538 21.230 0 11 539 37.800 0 14 540 38.470 0 11 541 37.850 1 13 542 39.240 0 12 543 21.320 0 10 544 27.520 0 12 545 24.490 0 13 546 34.560 0 10 547 30.730 0 10 548 26.880 0 10 549 33.290 0 10 550 42.710 0 14 551 35.300 0 12 552 29.280 0 11 553 26.890 0 11 554 23.320 0 12 555 29.340 0 14 556 22.760 1 14 557 31.100 0 10 558 28.940 0 11 559 46.370 1 11 560 24.350 0 10 561 28.380 0 10 562 30.350 0 12 563 48.310 0 12 564 28.120 0 11 565 27.140 0 12 566 30.860 0 10 567 35.190 0 12 568 42.320 0 13 569 27.700 0 10 570 33.410 0 12 571 30.900 0 10 572 25.310 0 13 573 28.220 0 12 574 30.380 1 10 575 29.350 0 12 576 25.680 0 10 577 23.870 0 11 578 24.990 0 12 579 41.300 0 11 580 30.010 0 12 581 31.320 0 10 582 35.770 0 13 583 32.220 0 12 584 32.800 0 11 585 26.590 0 11 586 28.220 0 11 587 21.400 0 11 588 42.030 0 12 589 29.970 0 14 590 31.200 1 11 591 25.620 0 11 592 30.820 0 12 593 38.060 0 14 594 33.390 1 11 595 31.520 1 13 596 24.580 0 11 597 23.910 0 10 598 31.410 0 13 599 25.790 0 12 600 31.040 1 11 601 40.450 1 13 602 47.630 1 14 603 21.000 0 10 604 30.690 1 11 605 27.850 0 11 606 42.840 0 15 607 45.060 1 15 608 29.060 0 18 609 51.020 0 19 610 35.190 1 19 611 36.880 1 16 612 44.290 0 17 613 42.790 0 15 614 45.000 0 15 615 26.350 0 15 616 26.790 1 15 617 21.980 1 15 618 33.450 1 19 619 30.820 0 18 620 33.870 0 16 621 30.820 1 17 622 29.030 1 16 623 30.040 1 15 624 57.930 0 15 625 39.850 0 15 626 42.200 0 18 627 47.240 0 17 628 37.310 0 15 629 34.060 1 17 630 35.000 0 17 631 36.740 0 16 632 56.330 0 17 633 31.220 1 15 634 33.300 1 15 635 26.080 1 16 636 36.450 0 16 637 37.990 1 15 638 40.860 1 18 639 28.870 0 15 640 40.700 1 16 641 39.600 0 17 642 42.990 0 16 643 29.810 0 16 644 22.640 1 15 645 44.040 1 18 646 22.780 1 15 647 45.040 0 16 648 56.380 0 17 649 48.720 1 16 650 42.700 1 16 651 37.270 1 15 652 28.530 0 18 653 27.950 1 16 654 32.110 0 15 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) Smoke Age 3.409 -2.148 2.330 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -16.8175 -3.4785 -0.3986 3.5367 20.8720 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.40917 0.82212 4.147 3.82e-05 *** Smoke -2.14803 0.81515 -2.635 0.00861 ** Age 2.32990 0.08262 28.199 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 5.704 on 651 degrees of freedom Multiple R-squared: 0.5767, Adjusted R-squared: 0.5754 F-statistic: 443.5 on 2 and 651 DF, p-value: < 2.2e-16 > if (n > n25) { + kp3 <- k + 3 + nmkm3 <- n - k - 3 + gqarr <- array(NA, dim=c(nmkm3-kp3+1,3)) + numgqtests <- 0 + numsignificant1 <- 0 + numsignificant5 <- 0 + numsignificant10 <- 0 + for (mypoint in kp3:nmkm3) { + j <- 0 + numgqtests <- numgqtests + 1 + for (myalt in c('greater', 'two.sided', 'less')) { + j <- j + 1 + gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value + } + if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1 + if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1 + if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1 + } + gqarr + } [,1] [,2] [,3] [1,] 2.240053e-01 4.480106e-01 0.7759947 [2,] 1.067402e-01 2.134805e-01 0.8932598 [3,] 1.003764e-01 2.007529e-01 0.8996236 [4,] 5.610237e-02 1.122047e-01 0.9438976 [5,] 2.710777e-02 5.421554e-02 0.9728922 [6,] 1.298102e-02 2.596203e-02 0.9870190 [7,] 5.741566e-03 1.148313e-02 0.9942584 [8,] 5.568981e-03 1.113796e-02 0.9944310 [9,] 3.679815e-03 7.359630e-03 0.9963202 [10,] 3.652987e-03 7.305974e-03 0.9963470 [11,] 1.763253e-03 3.526506e-03 0.9982367 [12,] 9.527218e-04 1.905444e-03 0.9990473 [13,] 4.772629e-04 9.545258e-04 0.9995227 [14,] 4.363683e-04 8.727367e-04 0.9995636 [15,] 9.461192e-04 1.892238e-03 0.9990539 [16,] 5.170542e-04 1.034108e-03 0.9994829 [17,] 3.441240e-04 6.882480e-04 0.9996559 [18,] 1.079865e-02 2.159730e-02 0.9892014 [19,] 2.779234e-02 5.558468e-02 0.9722077 [20,] 4.530268e-02 9.060536e-02 0.9546973 [21,] 4.657194e-02 9.314387e-02 0.9534281 [22,] 3.312640e-02 6.625280e-02 0.9668736 [23,] 2.763733e-02 5.527467e-02 0.9723627 [24,] 6.109014e-02 1.221803e-01 0.9389099 [25,] 4.685239e-02 9.370479e-02 0.9531476 [26,] 3.485327e-02 6.970655e-02 0.9651467 [27,] 4.600920e-02 9.201839e-02 0.9539908 [28,] 4.896015e-02 9.792031e-02 0.9510398 [29,] 3.788722e-02 7.577444e-02 0.9621128 [30,] 2.872116e-02 5.744232e-02 0.9712788 [31,] 2.076280e-02 4.152560e-02 0.9792372 [32,] 1.755010e-02 3.510021e-02 0.9824499 [33,] 1.254061e-02 2.508122e-02 0.9874594 [34,] 1.447556e-02 2.895111e-02 0.9855244 [35,] 1.048599e-02 2.097197e-02 0.9895140 [36,] 1.644110e-02 3.288220e-02 0.9835589 [37,] 1.301540e-02 2.603079e-02 0.9869846 [38,] 1.085886e-02 2.171772e-02 0.9891411 [39,] 8.314486e-03 1.662897e-02 0.9916855 [40,] 5.968345e-03 1.193669e-02 0.9940317 [41,] 4.812733e-03 9.625465e-03 0.9951873 [42,] 3.792656e-03 7.585311e-03 0.9962073 [43,] 6.500997e-03 1.300199e-02 0.9934990 [44,] 4.624180e-03 9.248360e-03 0.9953758 [45,] 5.457054e-03 1.091411e-02 0.9945429 [46,] 5.984355e-03 1.196871e-02 0.9940156 [47,] 5.475276e-03 1.095055e-02 0.9945247 [48,] 1.917817e-02 3.835635e-02 0.9808218 [49,] 1.839950e-02 3.679900e-02 0.9816005 [50,] 1.401304e-02 2.802609e-02 0.9859870 [51,] 1.082465e-02 2.164929e-02 0.9891754 [52,] 1.187321e-02 2.374642e-02 0.9881268 [53,] 1.140385e-02 2.280770e-02 0.9885962 [54,] 9.787986e-03 1.957597e-02 0.9902120 [55,] 9.606214e-03 1.921243e-02 0.9903938 [56,] 7.244244e-03 1.448849e-02 0.9927558 [57,] 5.948148e-03 1.189630e-02 0.9940519 [58,] 4.692311e-03 9.384623e-03 0.9953077 [59,] 3.961586e-03 7.923172e-03 0.9960384 [60,] 3.136204e-03 6.272407e-03 0.9968638 [61,] 2.291847e-03 4.583694e-03 0.9977082 [62,] 1.935734e-03 3.871467e-03 0.9980643 [63,] 1.592899e-03 3.185797e-03 0.9984071 [64,] 1.150221e-03 2.300442e-03 0.9988498 [65,] 8.481607e-04 1.696321e-03 0.9991518 [66,] 6.421303e-04 1.284261e-03 0.9993579 [67,] 5.412869e-04 1.082574e-03 0.9994587 [68,] 4.332715e-04 8.665431e-04 0.9995667 [69,] 3.043456e-04 6.086913e-04 0.9996957 [70,] 2.488936e-04 4.977871e-04 0.9997511 [71,] 1.795929e-04 3.591857e-04 0.9998204 [72,] 1.527798e-04 3.055597e-04 0.9998472 [73,] 1.055340e-04 2.110680e-04 0.9998945 [74,] 1.188926e-03 2.377851e-03 0.9988111 [75,] 8.697350e-04 1.739470e-03 0.9991303 [76,] 6.488329e-04 1.297666e-03 0.9993512 [77,] 4.692708e-04 9.385416e-04 0.9995307 [78,] 3.366838e-04 6.733676e-04 0.9996633 [79,] 3.015989e-04 6.031979e-04 0.9996984 [80,] 2.154303e-04 4.308606e-04 0.9997846 [81,] 1.531417e-04 3.062835e-04 0.9998469 [82,] 2.160937e-04 4.321873e-04 0.9997839 [83,] 1.645868e-04 3.291737e-04 0.9998354 [84,] 1.181857e-04 2.363713e-04 0.9998818 [85,] 9.517793e-05 1.903559e-04 0.9999048 [86,] 1.100988e-04 2.201976e-04 0.9998899 [87,] 1.127240e-04 2.254480e-04 0.9998873 [88,] 9.470139e-05 1.894028e-04 0.9999053 [89,] 6.677775e-05 1.335555e-04 0.9999332 [90,] 4.908316e-05 9.816632e-05 0.9999509 [91,] 3.768945e-05 7.537890e-05 0.9999623 [92,] 5.258641e-05 1.051728e-04 0.9999474 [93,] 4.088610e-05 8.177220e-05 0.9999591 [94,] 3.179547e-05 6.359094e-05 0.9999682 [95,] 4.192467e-05 8.384935e-05 0.9999581 [96,] 8.721229e-05 1.744246e-04 0.9999128 [97,] 6.967241e-05 1.393448e-04 0.9999303 [98,] 5.179989e-05 1.035998e-04 0.9999482 [99,] 1.878889e-04 3.757778e-04 0.9998121 [100,] 1.408561e-04 2.817121e-04 0.9998591 [101,] 1.148581e-04 2.297162e-04 0.9998851 [102,] 8.648950e-05 1.729790e-04 0.9999135 [103,] 6.248800e-05 1.249760e-04 0.9999375 [104,] 4.692151e-05 9.384302e-05 0.9999531 [105,] 3.855043e-05 7.710085e-05 0.9999614 [106,] 3.652845e-05 7.305691e-05 0.9999635 [107,] 2.637748e-05 5.275496e-05 0.9999736 [108,] 1.933321e-05 3.866642e-05 0.9999807 [109,] 1.533797e-05 3.067594e-05 0.9999847 [110,] 1.447295e-05 2.894590e-05 0.9999855 [111,] 1.056359e-05 2.112717e-05 0.9999894 [112,] 7.991947e-06 1.598389e-05 0.9999920 [113,] 6.019359e-06 1.203872e-05 0.9999940 [114,] 4.804952e-06 9.609904e-06 0.9999952 [115,] 3.791250e-06 7.582501e-06 0.9999962 [116,] 2.623161e-06 5.246322e-06 0.9999974 [117,] 1.834441e-06 3.668882e-06 0.9999982 [118,] 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6.667960e-10 1.333592e-09 1.0000000 [188,] 5.089296e-10 1.017859e-09 1.0000000 [189,] 3.414016e-10 6.828031e-10 1.0000000 [190,] 2.373705e-10 4.747410e-10 1.0000000 [191,] 2.573343e-10 5.146687e-10 1.0000000 [192,] 2.411486e-10 4.822971e-10 1.0000000 [193,] 1.940259e-10 3.880518e-10 1.0000000 [194,] 2.281388e-10 4.562776e-10 1.0000000 [195,] 2.047769e-10 4.095538e-10 1.0000000 [196,] 1.500946e-10 3.001893e-10 1.0000000 [197,] 1.091410e-10 2.182819e-10 1.0000000 [198,] 1.203590e-10 2.407180e-10 1.0000000 [199,] 7.976895e-11 1.595379e-10 1.0000000 [200,] 8.487321e-11 1.697464e-10 1.0000000 [201,] 5.878695e-11 1.175739e-10 1.0000000 [202,] 3.890484e-11 7.780968e-11 1.0000000 [203,] 2.555698e-11 5.111395e-11 1.0000000 [204,] 1.675842e-11 3.351685e-11 1.0000000 [205,] 1.216418e-11 2.432836e-11 1.0000000 [206,] 9.082824e-12 1.816565e-11 1.0000000 [207,] 1.862691e-11 3.725382e-11 1.0000000 [208,] 1.241987e-11 2.483974e-11 1.0000000 [209,] 8.733826e-12 1.746765e-11 1.0000000 [210,] 5.675321e-12 1.135064e-11 1.0000000 [211,] 3.795122e-12 7.590244e-12 1.0000000 [212,] 3.081162e-12 6.162324e-12 1.0000000 [213,] 2.508443e-12 5.016886e-12 1.0000000 [214,] 1.666106e-12 3.332213e-12 1.0000000 [215,] 1.521589e-12 3.043178e-12 1.0000000 [216,] 1.918526e-12 3.837051e-12 1.0000000 [217,] 1.275767e-12 2.551534e-12 1.0000000 [218,] 1.040851e-12 2.081703e-12 1.0000000 [219,] 1.441461e-12 2.882921e-12 1.0000000 [220,] 1.070114e-12 2.140227e-12 1.0000000 [221,] 1.075027e-11 2.150054e-11 1.0000000 [222,] 7.492032e-12 1.498406e-11 1.0000000 [223,] 5.602160e-12 1.120432e-11 1.0000000 [224,] 6.292004e-12 1.258401e-11 1.0000000 [225,] 5.162965e-12 1.032593e-11 1.0000000 [226,] 3.537620e-12 7.075240e-12 1.0000000 [227,] 2.511296e-12 5.022591e-12 1.0000000 [228,] 1.753208e-12 3.506415e-12 1.0000000 [229,] 1.375260e-12 2.750519e-12 1.0000000 [230,] 8.976779e-13 1.795356e-12 1.0000000 [231,] 8.994439e-13 1.798888e-12 1.0000000 [232,] 1.734311e-12 3.468623e-12 1.0000000 [233,] 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4.625471e-15 9.250942e-15 1.0000000 [257,] 5.020982e-15 1.004196e-14 1.0000000 [258,] 4.240752e-15 8.481505e-15 1.0000000 [259,] 2.725819e-15 5.451639e-15 1.0000000 [260,] 2.439674e-15 4.879349e-15 1.0000000 [261,] 2.949467e-15 5.898934e-15 1.0000000 [262,] 3.052817e-15 6.105633e-15 1.0000000 [263,] 1.968140e-15 3.936280e-15 1.0000000 [264,] 1.252195e-15 2.504390e-15 1.0000000 [265,] 8.131297e-16 1.626259e-15 1.0000000 [266,] 6.513661e-16 1.302732e-15 1.0000000 [267,] 6.268912e-16 1.253782e-15 1.0000000 [268,] 4.112578e-16 8.225155e-16 1.0000000 [269,] 2.627753e-16 5.255505e-16 1.0000000 [270,] 3.098079e-16 6.196159e-16 1.0000000 [271,] 2.109186e-16 4.218371e-16 1.0000000 [272,] 1.402076e-16 2.804153e-16 1.0000000 [273,] 1.290651e-16 2.581302e-16 1.0000000 [274,] 9.052780e-17 1.810556e-16 1.0000000 [275,] 6.000216e-17 1.200043e-16 1.0000000 [276,] 3.761910e-17 7.523819e-17 1.0000000 [277,] 2.378131e-17 4.756263e-17 1.0000000 [278,] 1.735404e-17 3.470808e-17 1.0000000 [279,] 1.457673e-17 2.915346e-17 1.0000000 [280,] 9.318117e-18 1.863623e-17 1.0000000 [281,] 6.244802e-18 1.248960e-17 1.0000000 [282,] 3.945971e-18 7.891941e-18 1.0000000 [283,] 2.491737e-18 4.983473e-18 1.0000000 [284,] 2.288355e-18 4.576711e-18 1.0000000 [285,] 2.602343e-18 5.204685e-18 1.0000000 [286,] 3.136442e-18 6.272884e-18 1.0000000 [287,] 1.911871e-18 3.823743e-18 1.0000000 [288,] 4.824789e-18 9.649579e-18 1.0000000 [289,] 5.823705e-18 1.164741e-17 1.0000000 [290,] 4.539162e-18 9.078325e-18 1.0000000 [291,] 2.882887e-18 5.765773e-18 1.0000000 [292,] 1.947285e-18 3.894569e-18 1.0000000 [293,] 2.277023e-18 4.554047e-18 1.0000000 [294,] 1.781459e-18 3.562919e-18 1.0000000 [295,] 1.418913e-18 2.837825e-18 1.0000000 [296,] 9.427096e-19 1.885419e-18 1.0000000 [297,] 6.417888e-19 1.283578e-18 1.0000000 [298,] 7.527626e-19 1.505525e-18 1.0000000 [299,] 4.929595e-19 9.859190e-19 1.0000000 [300,] 3.346547e-19 6.693094e-19 1.0000000 [301,] 2.753113e-19 5.506226e-19 1.0000000 [302,] 3.360050e-19 6.720099e-19 1.0000000 [303,] 2.114676e-19 4.229352e-19 1.0000000 [304,] 2.252829e-19 4.505658e-19 1.0000000 [305,] 1.350046e-19 2.700091e-19 1.0000000 [306,] 1.046653e-19 2.093305e-19 1.0000000 [307,] 6.657550e-20 1.331510e-19 1.0000000 [308,] 1.141087e-19 2.282175e-19 1.0000000 [309,] 1.321068e-19 2.642137e-19 1.0000000 [310,] 7.925220e-20 1.585044e-19 1.0000000 [311,] 2.108444e-19 4.216888e-19 1.0000000 [312,] 1.654201e-19 3.308402e-19 1.0000000 [313,] 1.007548e-19 2.015096e-19 1.0000000 [314,] 6.459766e-20 1.291953e-19 1.0000000 [315,] 2.667491e-19 5.334982e-19 1.0000000 [316,] 3.013311e-18 6.026621e-18 1.0000000 [317,] 5.586698e-17 1.117340e-16 1.0000000 [318,] 4.264728e-17 8.529456e-17 1.0000000 [319,] 3.772526e-17 7.545052e-17 1.0000000 [320,] 3.079071e-17 6.158143e-17 1.0000000 [321,] 2.015829e-17 4.031659e-17 1.0000000 [322,] 2.895620e-17 5.791240e-17 1.0000000 [323,] 2.016457e-17 4.032914e-17 1.0000000 [324,] 1.459479e-17 2.918958e-17 1.0000000 [325,] 1.344102e-17 2.688205e-17 1.0000000 [326,] 8.503756e-18 1.700751e-17 1.0000000 [327,] 1.921525e-17 3.843050e-17 1.0000000 [328,] 1.335480e-17 2.670960e-17 1.0000000 [329,] 1.067512e-17 2.135023e-17 1.0000000 [330,] 1.062332e-17 2.124664e-17 1.0000000 [331,] 7.629286e-18 1.525857e-17 1.0000000 [332,] 5.116640e-18 1.023328e-17 1.0000000 [333,] 4.475244e-18 8.950488e-18 1.0000000 [334,] 3.237084e-18 6.474169e-18 1.0000000 [335,] 3.042167e-18 6.084334e-18 1.0000000 [336,] 5.767240e-18 1.153448e-17 1.0000000 [337,] 3.618650e-18 7.237300e-18 1.0000000 [338,] 2.216833e-18 4.433666e-18 1.0000000 [339,] 9.446372e-18 1.889274e-17 1.0000000 [340,] 1.043691e-17 2.087381e-17 1.0000000 [341,] 1.034735e-17 2.069470e-17 1.0000000 [342,] 6.854741e-18 1.370948e-17 1.0000000 [343,] 4.233547e-18 8.467094e-18 1.0000000 [344,] 9.974402e-18 1.994880e-17 1.0000000 [345,] 9.040189e-18 1.808038e-17 1.0000000 [346,] 1.047916e-17 2.095831e-17 1.0000000 [347,] 7.224567e-18 1.444913e-17 1.0000000 [348,] 5.043269e-18 1.008654e-17 1.0000000 [349,] 3.128196e-18 6.256391e-18 1.0000000 [350,] 2.169585e-18 4.339170e-18 1.0000000 [351,] 3.484332e-18 6.968665e-18 1.0000000 [352,] 2.194485e-18 4.388970e-18 1.0000000 [353,] 1.921281e-18 3.842562e-18 1.0000000 [354,] 2.375049e-18 4.750098e-18 1.0000000 [355,] 2.246567e-18 4.493135e-18 1.0000000 [356,] 7.929885e-18 1.585977e-17 1.0000000 [357,] 6.480048e-18 1.296010e-17 1.0000000 [358,] 4.084536e-18 8.169072e-18 1.0000000 [359,] 4.166509e-18 8.333017e-18 1.0000000 [360,] 2.539135e-17 5.078269e-17 1.0000000 [361,] 1.922697e-17 3.845394e-17 1.0000000 [362,] 1.256639e-17 2.513278e-17 1.0000000 [363,] 8.942245e-18 1.788449e-17 1.0000000 [364,] 1.753282e-17 3.506563e-17 1.0000000 [365,] 3.051472e-17 6.102945e-17 1.0000000 [366,] 3.823691e-17 7.647382e-17 1.0000000 [367,] 2.316111e-15 4.632222e-15 1.0000000 [368,] 2.221447e-15 4.442893e-15 1.0000000 [369,] 1.557565e-15 3.115131e-15 1.0000000 [370,] 1.002609e-15 2.005217e-15 1.0000000 [371,] 9.912987e-16 1.982597e-15 1.0000000 [372,] 7.733021e-16 1.546604e-15 1.0000000 [373,] 5.583079e-16 1.116616e-15 1.0000000 [374,] 3.608494e-16 7.216988e-16 1.0000000 [375,] 2.627916e-16 5.255832e-16 1.0000000 [376,] 2.649934e-16 5.299868e-16 1.0000000 [377,] 3.428508e-16 6.857016e-16 1.0000000 [378,] 2.842435e-16 5.684870e-16 1.0000000 [379,] 2.032187e-16 4.064373e-16 1.0000000 [380,] 5.609866e-16 1.121973e-15 1.0000000 [381,] 6.000663e-16 1.200133e-15 1.0000000 [382,] 4.901115e-16 9.802229e-16 1.0000000 [383,] 3.405888e-16 6.811776e-16 1.0000000 [384,] 2.243140e-16 4.486280e-16 1.0000000 [385,] 1.894119e-16 3.788237e-16 1.0000000 [386,] 3.427800e-16 6.855600e-16 1.0000000 [387,] 2.428881e-16 4.857762e-16 1.0000000 [388,] 2.592016e-16 5.184033e-16 1.0000000 [389,] 4.827301e-16 9.654603e-16 1.0000000 [390,] 3.412420e-16 6.824840e-16 1.0000000 [391,] 2.207030e-16 4.414059e-16 1.0000000 [392,] 5.558724e-16 1.111745e-15 1.0000000 [393,] 5.913022e-16 1.182604e-15 1.0000000 [394,] 6.491265e-16 1.298253e-15 1.0000000 [395,] 4.579279e-16 9.158558e-16 1.0000000 [396,] 5.127331e-16 1.025466e-15 1.0000000 [397,] 4.659205e-16 9.318410e-16 1.0000000 [398,] 1.004719e-15 2.009437e-15 1.0000000 [399,] 3.374884e-15 6.749767e-15 1.0000000 [400,] 4.260957e-15 8.521914e-15 1.0000000 [401,] 4.552499e-15 9.104997e-15 1.0000000 [402,] 3.402120e-15 6.804241e-15 1.0000000 [403,] 3.016904e-15 6.033808e-15 1.0000000 [404,] 1.969706e-15 3.939413e-15 1.0000000 [405,] 2.394960e-15 4.789921e-15 1.0000000 [406,] 2.064183e-15 4.128367e-15 1.0000000 [407,] 1.380510e-15 2.761020e-15 1.0000000 [408,] 1.605349e-15 3.210697e-15 1.0000000 [409,] 1.660324e-15 3.320648e-15 1.0000000 [410,] 1.297971e-14 2.595942e-14 1.0000000 [411,] 3.546742e-14 7.093484e-14 1.0000000 [412,] 3.286566e-14 6.573132e-14 1.0000000 [413,] 2.602906e-14 5.205812e-14 1.0000000 [414,] 1.839908e-14 3.679815e-14 1.0000000 [415,] 1.190362e-14 2.380724e-14 1.0000000 [416,] 1.137849e-14 2.275698e-14 1.0000000 [417,] 2.018682e-13 4.037364e-13 1.0000000 [418,] 2.935215e-13 5.870430e-13 1.0000000 [419,] 1.962649e-13 3.925299e-13 1.0000000 [420,] 1.289634e-13 2.579268e-13 1.0000000 [421,] 1.180865e-13 2.361730e-13 1.0000000 [422,] 1.070410e-13 2.140819e-13 1.0000000 [423,] 7.113451e-14 1.422690e-13 1.0000000 [424,] 9.354320e-14 1.870864e-13 1.0000000 [425,] 8.762785e-14 1.752557e-13 1.0000000 [426,] 7.316996e-14 1.463399e-13 1.0000000 [427,] 6.670905e-14 1.334181e-13 1.0000000 [428,] 1.595290e-13 3.190581e-13 1.0000000 [429,] 1.328925e-13 2.657849e-13 1.0000000 [430,] 8.885544e-14 1.777109e-13 1.0000000 [431,] 5.915276e-14 1.183055e-13 1.0000000 [432,] 4.480245e-14 8.960489e-14 1.0000000 [433,] 2.940201e-14 5.880402e-14 1.0000000 [434,] 5.324699e-14 1.064940e-13 1.0000000 [435,] 3.458305e-14 6.916610e-14 1.0000000 [436,] 5.306194e-14 1.061239e-13 1.0000000 [437,] 9.499042e-13 1.899808e-12 1.0000000 [438,] 8.575067e-13 1.715013e-12 1.0000000 [439,] 4.509175e-12 9.018350e-12 1.0000000 [440,] 8.752934e-12 1.750587e-11 1.0000000 [441,] 6.793054e-12 1.358611e-11 1.0000000 [442,] 6.738078e-12 1.347616e-11 1.0000000 [443,] 4.633098e-12 9.266197e-12 1.0000000 [444,] 9.566243e-12 1.913249e-11 1.0000000 [445,] 1.419576e-11 2.839151e-11 1.0000000 [446,] 1.017123e-11 2.034246e-11 1.0000000 [447,] 7.200108e-10 1.440022e-09 1.0000000 [448,] 1.737336e-09 3.474671e-09 1.0000000 [449,] 2.740246e-09 5.480492e-09 1.0000000 [450,] 2.266682e-09 4.533365e-09 1.0000000 [451,] 1.781930e-09 3.563860e-09 1.0000000 [452,] 5.747965e-09 1.149593e-08 1.0000000 [453,] 5.822174e-09 1.164435e-08 1.0000000 [454,] 4.635110e-09 9.270219e-09 1.0000000 [455,] 4.378252e-09 8.756504e-09 1.0000000 [456,] 3.391545e-09 6.783091e-09 1.0000000 [457,] 2.866033e-09 5.732065e-09 1.0000000 [458,] 2.200800e-09 4.401599e-09 1.0000000 [459,] 1.443774e-08 2.887549e-08 1.0000000 [460,] 1.242333e-08 2.484667e-08 1.0000000 [461,] 8.908097e-09 1.781619e-08 1.0000000 [462,] 6.618694e-09 1.323739e-08 1.0000000 [463,] 9.907631e-09 1.981526e-08 1.0000000 [464,] 7.124038e-09 1.424808e-08 1.0000000 [465,] 5.183360e-09 1.036672e-08 1.0000000 [466,] 8.847582e-09 1.769516e-08 1.0000000 [467,] 1.032958e-08 2.065916e-08 1.0000000 [468,] 2.370867e-08 4.741734e-08 1.0000000 [469,] 1.703253e-08 3.406507e-08 1.0000000 [470,] 1.296402e-08 2.592803e-08 1.0000000 [471,] 9.330875e-09 1.866175e-08 1.0000000 [472,] 9.576963e-09 1.915393e-08 1.0000000 [473,] 1.701060e-08 3.402119e-08 1.0000000 [474,] 3.541853e-08 7.083705e-08 1.0000000 [475,] 2.623987e-08 5.247973e-08 1.0000000 [476,] 2.032753e-08 4.065507e-08 1.0000000 [477,] 1.742556e-08 3.485111e-08 1.0000000 [478,] 1.279566e-08 2.559132e-08 1.0000000 [479,] 9.233798e-09 1.846760e-08 1.0000000 [480,] 2.525780e-08 5.051561e-08 1.0000000 [481,] 4.323203e-08 8.646407e-08 1.0000000 [482,] 3.097237e-08 6.194475e-08 1.0000000 [483,] 2.227355e-08 4.454710e-08 1.0000000 [484,] 3.272455e-08 6.544910e-08 1.0000000 [485,] 6.771350e-08 1.354270e-07 0.9999999 [486,] 6.746752e-08 1.349350e-07 0.9999999 [487,] 6.754793e-08 1.350959e-07 0.9999999 [488,] 5.948113e-08 1.189623e-07 0.9999999 [489,] 7.261469e-08 1.452294e-07 0.9999999 [490,] 5.307143e-08 1.061429e-07 0.9999999 [491,] 4.004364e-08 8.008728e-08 1.0000000 [492,] 2.867299e-08 5.734598e-08 1.0000000 [493,] 2.779011e-08 5.558023e-08 1.0000000 [494,] 1.961644e-08 3.923288e-08 1.0000000 [495,] 2.127007e-08 4.254013e-08 1.0000000 [496,] 1.534137e-08 3.068273e-08 1.0000000 [497,] 1.356642e-08 2.713283e-08 1.0000000 [498,] 1.212256e-08 2.424512e-08 1.0000000 [499,] 1.811129e-07 3.622258e-07 0.9999998 [500,] 1.316127e-07 2.632255e-07 0.9999999 [501,] 9.463028e-08 1.892606e-07 0.9999999 [502,] 7.118843e-08 1.423769e-07 0.9999999 [503,] 7.326089e-08 1.465218e-07 0.9999999 [504,] 5.453345e-08 1.090669e-07 0.9999999 [505,] 2.024274e-07 4.048547e-07 0.9999998 [506,] 2.163318e-07 4.326636e-07 0.9999998 [507,] 1.881231e-07 3.762463e-07 0.9999998 [508,] 1.386536e-07 2.773071e-07 0.9999999 [509,] 1.002790e-07 2.005579e-07 0.9999999 [510,] 6.343515e-07 1.268703e-06 0.9999994 [511,] 4.620787e-07 9.241575e-07 0.9999995 [512,] 4.578784e-06 9.157569e-06 0.9999954 [513,] 6.238220e-06 1.247644e-05 0.9999938 [514,] 7.623590e-06 1.524718e-05 0.9999924 [515,] 6.740315e-06 1.348063e-05 0.9999933 [516,] 6.099415e-06 1.219883e-05 0.9999939 [517,] 4.804586e-06 9.609171e-06 0.9999952 [518,] 3.565127e-06 7.130254e-06 0.9999964 [519,] 2.614083e-06 5.228166e-06 0.9999974 [520,] 1.911298e-06 3.822597e-06 0.9999981 [521,] 1.558160e-06 3.116320e-06 0.9999984 [522,] 1.251844e-06 2.503688e-06 0.9999987 [523,] 9.929755e-07 1.985951e-06 0.9999990 [524,] 1.095647e-06 2.191293e-06 0.9999989 [525,] 7.859857e-07 1.571971e-06 0.9999992 [526,] 6.148098e-07 1.229620e-06 0.9999994 [527,] 4.450772e-07 8.901545e-07 0.9999996 [528,] 4.372931e-07 8.745862e-07 0.9999996 [529,] 3.434385e-07 6.868770e-07 0.9999997 [530,] 3.531257e-07 7.062514e-07 0.9999996 [531,] 3.220551e-07 6.441103e-07 0.9999997 [532,] 2.465349e-07 4.930697e-07 0.9999998 [533,] 3.790859e-07 7.581718e-07 0.9999996 [534,] 2.820160e-07 5.640320e-07 0.9999997 [535,] 3.791097e-07 7.582194e-07 0.9999996 [536,] 3.687689e-07 7.375378e-07 0.9999996 [537,] 4.302548e-07 8.605096e-07 0.9999996 [538,] 4.881928e-07 9.763855e-07 0.9999995 [539,] 4.162518e-07 8.325036e-07 0.9999996 [540,] 6.792687e-07 1.358537e-06 0.9999993 [541,] 6.799691e-07 1.359938e-06 0.9999993 [542,] 5.041105e-07 1.008221e-06 0.9999995 [543,] 3.625883e-07 7.251767e-07 0.9999996 [544,] 3.186158e-07 6.372316e-07 0.9999997 [545,] 3.686766e-07 7.373531e-07 0.9999996 [546,] 2.856536e-07 5.713071e-07 0.9999997 [547,] 1.981753e-07 3.963506e-07 0.9999998 [548,] 1.509833e-07 3.019667e-07 0.9999998 [549,] 2.196512e-07 4.393024e-07 0.9999998 [550,] 2.255875e-07 4.511751e-07 0.9999998 [551,] 5.221898e-07 1.044380e-06 0.9999995 [552,] 3.861646e-07 7.723292e-07 0.9999996 [553,] 2.703253e-07 5.406506e-07 0.9999997 [554,] 4.163077e-06 8.326154e-06 0.9999958 [555,] 3.432100e-06 6.864199e-06 0.9999966 [556,] 2.427430e-06 4.854861e-06 0.9999976 [557,] 1.743676e-06 3.487353e-06 0.9999983 [558,] 1.412541e-05 2.825082e-05 0.9999859 [559,] 1.043210e-05 2.086419e-05 0.9999896 [560,] 9.088961e-06 1.817792e-05 0.9999909 [561,] 6.855168e-06 1.371034e-05 0.9999931 [562,] 5.348457e-06 1.069691e-05 0.9999947 [563,] 7.618201e-06 1.523640e-05 0.9999924 [564,] 5.373104e-06 1.074621e-05 0.9999946 [565,] 3.861757e-06 7.723514e-06 0.9999961 [566,] 2.911943e-06 5.823886e-06 0.9999971 [567,] 3.815681e-06 7.631362e-06 0.9999962 [568,] 2.972394e-06 5.944788e-06 0.9999970 [569,] 2.463327e-06 4.926654e-06 0.9999975 [570,] 1.782893e-06 3.565785e-06 0.9999982 [571,] 1.291229e-06 2.582458e-06 0.9999987 [572,] 1.287965e-06 2.575931e-06 0.9999987 [573,] 1.435833e-06 2.871667e-06 0.9999986 [574,] 3.201148e-06 6.402295e-06 0.9999968 [575,] 2.254873e-06 4.509746e-06 0.9999977 [576,] 1.677506e-06 3.355012e-06 0.9999983 [577,] 1.184183e-06 2.368366e-06 0.9999988 [578,] 7.910574e-07 1.582115e-06 0.9999992 [579,] 5.720867e-07 1.144173e-06 0.9999994 [580,] 4.191123e-07 8.382246e-07 0.9999996 [581,] 2.821445e-07 5.642890e-07 0.9999997 [582,] 4.189034e-07 8.378067e-07 0.9999996 [583,] 7.719783e-07 1.543957e-06 0.9999992 [584,] 6.963970e-07 1.392794e-06 0.9999993 [585,] 5.154507e-07 1.030901e-06 0.9999995 [586,] 4.152325e-07 8.304649e-07 0.9999996 [587,] 2.713336e-07 5.426672e-07 0.9999997 [588,] 1.852116e-07 3.704232e-07 0.9999998 [589,] 1.700575e-07 3.401151e-07 0.9999998 [590,] 1.095945e-07 2.191889e-07 0.9999999 [591,] 9.695117e-08 1.939023e-07 0.9999999 [592,] 8.161652e-08 1.632330e-07 0.9999999 [593,] 5.587082e-08 1.117416e-07 0.9999999 [594,] 6.487308e-08 1.297462e-07 0.9999999 [595,] 4.226475e-08 8.452950e-08 1.0000000 [596,] 6.968886e-08 1.393777e-07 0.9999999 [597,] 6.746310e-07 1.349262e-06 0.9999993 [598,] 1.000682e-06 2.001365e-06 0.9999990 [599,] 7.060150e-07 1.412030e-06 0.9999993 [600,] 5.659589e-07 1.131918e-06 0.9999994 [601,] 4.287853e-07 8.575707e-07 0.9999996 [602,] 1.346728e-06 2.693456e-06 0.9999987 [603,] 8.130887e-06 1.626177e-05 0.9999919 [604,] 7.743994e-06 1.548799e-05 0.9999923 [605,] 7.062113e-06 1.412423e-05 0.9999929 [606,] 5.198588e-06 1.039718e-05 0.9999948 [607,] 3.575714e-06 7.151429e-06 0.9999964 [608,] 2.865227e-06 5.730454e-06 0.9999971 [609,] 3.293815e-06 6.587629e-06 0.9999967 [610,] 8.314640e-06 1.662928e-05 0.9999917 [611,] 7.947691e-06 1.589538e-05 0.9999921 [612,] 1.959485e-05 3.918969e-05 0.9999804 [613,] 1.940568e-05 3.881135e-05 0.9999806 [614,] 6.683553e-05 1.336711e-04 0.9999332 [615,] 6.347597e-05 1.269519e-04 0.9999365 [616,] 6.276405e-05 1.255281e-04 0.9999372 [617,] 6.026350e-05 1.205270e-04 0.9999397 [618,] 4.209552e-05 8.419103e-05 0.9999579 [619,] 2.051784e-03 4.103568e-03 0.9979482 [620,] 1.628384e-03 3.256769e-03 0.9983716 [621,] 1.165487e-03 2.330973e-03 0.9988345 [622,] 1.005421e-03 2.010842e-03 0.9989946 [623,] 6.855702e-04 1.371140e-03 0.9993144 [624,] 5.673310e-04 1.134662e-03 0.9994327 [625,] 5.766558e-04 1.153312e-03 0.9994233 [626,] 3.650191e-04 7.300382e-04 0.9996350 [627,] 2.182819e-03 4.365638e-03 0.9978172 [628,] 1.404696e-03 2.809393e-03 0.9985953 [629,] 8.657444e-04 1.731489e-03 0.9991343 [630,] 1.574490e-03 3.148979e-03 0.9984255 [631,] 9.467942e-04 1.893588e-03 0.9990532 [632,] 7.209183e-04 1.441837e-03 0.9992791 [633,] 4.417472e-04 8.834944e-04 0.9995583 [634,] 3.205196e-04 6.410391e-04 0.9996795 [635,] 2.148641e-04 4.297282e-04 0.9997851 [636,] 1.116257e-04 2.232514e-04 0.9998884 [637,] 7.707622e-05 1.541524e-04 0.9999229 [638,] 8.384015e-05 1.676803e-04 0.9999162 [639,] 1.788827e-04 3.577653e-04 0.9998211 [640,] 8.106760e-05 1.621352e-04 0.9999189 [641,] 4.620747e-04 9.241495e-04 0.9995379 [642,] 2.731672e-04 5.463344e-04 0.9997268 [643,] 6.059864e-02 1.211973e-01 0.9394014 > postscript(file="/var/www/html/freestat/rcomp/tmp/1tfvw1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index') > points(x[,1]-mysum$resid) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/2tfvw1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/346cz1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/446cz1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/546cz1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(mysum$resid, main='Residual Normal Q-Q Plot') > qqline(mysum$resid) > grid() > dev.off() null device 1 > (myerror <- as.ts(mysum$resid)) Time Series: Start = 1 End = 654 Frequency = 1 1 2 3 4 5 6 -7.29831264 -4.80840833 -2.51850401 -8.79831264 -5.42831264 1.31159167 7 8 9 10 11 12 1.80140030 -3.23859970 -2.17840833 -4.95831264 -1.36859970 -4.69840833 13 14 15 16 17 18 -0.11840833 -0.86840833 0.53159167 -0.39850401 -0.33869539 1.39140030 19 20 21 22 23 24 -0.85831264 1.66168736 -1.05869539 -2.49869539 -11.88979108 6.06149599 25 26 27 28 29 30 5.50168736 3.64111323 -0.89831264 2.49130461 7.75159167 -3.37831264 31 32 33 34 35 36 -2.23869539 5.62168736 4.68159167 1.21149599 1.06130461 -0.29840833 37 38 39 40 41 42 2.87168736 -1.33840833 -6.57840833 -2.00840833 6.97168736 2.15159167 43 44 45 46 47 48 2.70130461 -2.73840833 -1.62869539 -3.61831264 -3.47850401 -8.60840833 49 50 51 52 53 54 -0.88859970 5.27159167 5.11130461 3.59168736 11.18168736 -5.01840833 55 56 57 58 59 60 -1.04859970 1.32168736 5.78168736 4.47149599 2.96120892 -5.06840833 61 62 63 64 65 66 -0.81840833 2.76159167 -2.57859970 3.04120892 -2.64840833 0.08140030 67 68 69 70 71 72 -3.68831264 -3.40850401 0.30130461 1.22168736 -2.42840833 3.26159167 73 74 75 76 77 78 2.77168736 0.19168736 -3.47831264 -1.82850401 3.52130461 -0.53869539 79 80 81 82 83 84 14.04168736 -0.19859970 1.39149599 -0.43859970 0.06159167 -4.10840833 85 86 87 88 89 90 -0.54850401 -0.60840833 -7.18850401 2.21168736 0.74130461 -3.11831264 91 92 93 94 95 96 5.91168736 5.26168736 -3.60850401 0.10159167 1.83159167 -2.41831264 97 98 99 100 101 102 -6.86831264 -2.72831264 -2.89850401 -6.81840833 -9.12840833 -3.22850401 103 104 105 106 107 108 1.50168736 -11.93279108 1.36168736 2.40140030 1.49159167 -0.20859970 109 110 111 112 113 114 -2.29850401 -3.68850401 4.34159167 -1.42850401 1.12149599 2.48149599 115 116 117 118 119 120 -4.98850401 1.36159167 -2.73850401 -3.09869539 -3.32840833 2.47149599 121 122 123 124 125 126 -0.17831264 -1.44850401 -5.10850401 -4.00859970 -1.14840833 -5.07840833 127 128 129 130 131 132 -6.42840833 -3.97831264 -3.62850401 2.53159167 2.12168736 -7.75840833 133 134 135 136 137 138 -5.29840833 -4.90831264 -1.35840833 -1.66859970 -3.90859970 0.83159167 139 140 141 142 143 144 -6.64831264 -14.26769539 -0.66850401 0.25168736 -3.07859970 1.93168736 145 146 147 148 149 150 6.76168736 -3.02831264 -2.11859970 0.88159167 6.04168736 7.22159167 151 152 153 154 155 156 4.60159167 -1.36831264 0.22168736 1.54168736 -2.21850401 -4.45840833 157 158 159 160 161 162 -2.02859970 -1.78831264 -3.89831264 1.33168736 0.74149599 -4.24840833 163 164 165 166 167 168 0.46130461 -2.51840833 4.55168736 -0.25859970 4.13168736 -1.14859970 169 170 171 172 173 174 4.26159167 3.13130461 -3.13850401 1.86149599 5.16120892 5.66168736 175 176 177 178 179 180 2.98159167 -5.04831264 -3.46831264 -1.21831264 1.98130461 -8.31831264 181 182 183 184 185 186 -8.06850401 3.63140030 -1.17831264 -2.07831264 -7.21831264 -1.81850401 187 188 189 190 191 192 -3.59869539 -0.17840833 2.79168736 -1.75850401 -2.70027897 -8.69840833 193 194 195 196 197 198 -3.18831264 -0.72859970 0.87140030 5.04159167 4.33168736 -4.13869539 199 200 201 202 203 204 5.23140030 3.65140030 -2.71831264 -2.81850401 5.35168736 -0.59840833 205 206 207 208 209 210 4.65130461 1.23149599 -0.41859970 0.17168736 -0.51850401 -2.73831264 211 212 213 214 215 216 -3.07831264 7.88159167 0.91168736 -2.45850401 0.04168736 -1.70879108 217 218 219 220 221 222 -3.81831264 3.02130461 1.00159167 -4.68831264 -6.48840833 0.32111323 223 224 225 226 227 228 -3.95831264 -6.92840833 -3.15859970 12.43168736 -2.13840833 -3.07840833 229 230 231 232 233 234 -6.01850401 -4.00859970 -1.88840833 2.01168736 1.16120892 -3.59850401 235 236 237 238 239 240 -0.69840833 4.76159167 7.85168736 0.57140030 -1.94840833 -2.15859970 241 242 243 244 245 246 -4.60840833 0.47168736 1.30159167 -5.56850401 -3.61831264 2.30159167 247 248 249 250 251 252 -2.43850401 4.12168736 -3.60840833 -6.83831264 -3.95859970 0.98159167 253 254 255 256 257 258 -1.91831264 2.71159167 8.01168736 0.19168736 1.77159167 -3.31850401 259 260 261 262 263 264 0.83130461 0.84149599 0.21159167 -5.51831264 3.95168736 -0.23859970 265 266 267 268 269 270 4.26159167 5.78149599 -5.25831264 -0.94850401 -0.36850401 0.33130461 271 272 273 274 275 276 3.65168736 4.85168736 1.53159167 -1.10840833 -5.82831264 -2.03859970 277 278 279 280 281 282 1.63149599 4.24130461 -2.55831264 -1.46869539 0.30149599 -0.39859970 283 284 285 286 287 288 2.95159167 3.94149599 -1.35840833 1.45120892 1.28159167 0.08130461 289 290 291 292 293 294 -4.46840833 5.63149599 5.92149599 0.49168736 -8.46831264 -5.80840833 295 296 297 298 299 300 3.60168736 -0.47859970 -2.05840833 -5.68831264 -2.68879108 -3.11859970 301 302 303 304 305 306 -1.45850401 2.50168736 -5.47840833 -0.66859970 -1.89840833 3.99149599 307 308 309 310 311 312 6.09130461 1.23159167 -4.76850401 -0.19812126 -3.42821695 -2.21783419 313 314 315 316 317 318 -7.33812126 5.66187874 -0.78802557 -8.59821695 -3.79812126 -0.28821695 319 320 321 322 323 324 1.38216581 9.66207012 12.39216581 14.13197443 -2.95802557 4.95178305 325 326 327 328 329 330 4.46207012 -1.09821695 7.50187874 -1.89821695 -2.38812126 5.32178305 331 332 333 334 335 336 1.79207012 -11.51980052 3.18187874 4.40178305 5.86187874 -2.22792988 337 338 339 340 341 342 -1.50821695 -3.78821695 -2.47802557 -4.24821695 -7.33821695 -0.24821695 343 344 345 346 347 348 0.53187874 11.03187874 -5.17812126 5.80178305 -1.41812126 1.07187874 349 350 351 352 353 354 9.35207012 5.36207012 6.79187874 3.32187874 -1.66783419 1.54187874 355 356 357 358 359 360 3.36178305 8.18178305 1.93178305 0.40019948 -5.50792988 -4.20821695 361 362 363 364 365 366 10.80216581 -3.18821695 2.04187874 6.24207012 12.56197443 0.53010379 367 368 369 370 371 372 -0.78821695 -1.76792988 -9.95008759 5.69019948 -5.57812126 16.34010379 373 374 375 376 377 378 6.11187874 -1.49812126 0.49178305 -4.40812126 -2.70812126 3.77178305 379 380 381 382 383 384 2.07187874 3.75207012 -5.37999190 -5.76821695 5.12178305 -3.13980052 385 386 387 388 389 390 10.73187874 6.83178305 5.07187874 -0.69018328 2.67187874 5.17207012 391 392 393 394 395 396 -7.23792988 -1.66821695 6.83187874 9.41187874 -1.65802557 2.20178305 397 398 399 400 401 402 -8.47821695 -4.86812126 -4.95821695 -1.68812126 6.70216581 -3.93792988 403 404 405 406 407 408 9.13000810 11.61187874 -5.85812126 6.92187874 -2.07783419 -3.85802557 409 410 411 412 413 414 0.02178305 -5.80802557 -3.61812126 -0.62821695 -5.49812126 -5.55989621 415 416 417 418 419 420 -12.12821695 11.24178305 -4.12812126 -3.09792988 -1.25821695 0.89187874 421 422 423 424 425 426 6.34178305 16.01010379 8.70187874 1.84178305 0.84187874 -4.05812126 427 428 429 430 431 432 -4.33783419 -0.16812126 -6.65792988 6.11187874 5.21187874 -3.83821695 433 434 435 436 437 438 -9.35792988 -3.05821695 -0.68989621 0.25178305 -2.68802557 1.42178305 439 440 441 442 443 444 9.21019948 1.18197443 9.56981672 16.89187874 5.08216581 -12.20802557 445 446 447 448 449 450 -8.12821695 5.18981672 6.79178305 2.30178305 -8.95802557 8.55207012 451 452 453 454 455 456 3.19187874 20.87197443 11.69187874 9.43197443 -2.97812126 4.79991241 457 458 459 460 461 462 12.74197443 6.54197443 -2.80792988 -4.38812126 4.21000810 5.29178305 463 464 465 466 467 468 -2.23802557 15.07207012 -3.12821695 1.42197443 -0.89821695 -7.89802557 469 470 471 472 473 474 0.20178305 -0.76812126 -7.97821695 8.29000810 -10.64783419 0.87178305 475 476 477 478 479 480 3.79178305 -0.57802557 -4.69821695 -8.12821695 -9.38989621 2.66197443 481 482 483 484 485 486 3.64197443 -3.25812126 -0.76989621 2.64000810 -10.05821695 -8.22812126 487 488 489 490 491 492 0.70187874 1.42010379 9.36197443 10.78207012 6.14207012 -4.20821695 493 494 495 496 497 498 -3.84802557 -6.17999190 0.77216581 4.12991241 1.91178305 -4.77989621 499 500 501 502 503 504 1.19187874 7.77187874 -1.14792988 5.55197443 -3.14821695 19.20178305 505 506 507 508 509 510 -0.54802557 1.42010379 3.54187874 -4.54821695 3.43187874 14.20187874 511 512 513 514 515 516 -5.41812126 -3.40812126 3.02187874 -0.17783419 15.83197443 -0.38792988 517 518 519 520 521 522 17.13207012 10.41981672 -7.19802557 -3.06821695 -3.29821695 -1.62999190 523 524 525 526 527 528 2.63991241 0.94197443 1.74187874 4.65187874 3.92197443 -2.70802557 529 530 531 532 533 534 -7.11783419 1.18187874 4.56178305 -0.37812126 -5.31802557 -3.13792988 535 536 537 538 539 540 -5.67802557 -4.02812126 4.16187874 -7.80812126 1.77216581 9.43187874 541 542 543 544 545 546 6.30010379 7.87197443 -5.38821695 -3.84802557 -9.20792988 7.85178305 547 548 549 550 551 552 4.02178305 0.17178305 6.58178305 6.68216581 3.93197443 0.24187874 553 554 555 556 557 558 -2.14812126 -8.04802557 -6.68783419 -11.11980052 4.39178305 -0.09812126 559 560 561 562 563 564 19.47991241 -2.35821695 1.67178305 -1.01802557 16.94197443 -0.91812126 565 566 567 568 569 570 -4.22802557 4.15178305 3.82197443 8.62207012 0.99178305 2.04197443 571 572 573 574 575 576 4.19178305 -8.38792988 -3.14802557 5.81981672 -2.01802557 -1.02821695 577 578 579 580 581 582 -5.16812126 -6.37802557 12.26187874 -1.35802557 4.61178305 2.07207012 583 584 585 586 587 588 0.85197443 3.76187874 -2.44812126 -0.81812126 -7.63812126 10.66197443 589 590 591 592 593 594 -6.05783419 4.30991241 -3.41812126 -0.54802557 2.03216581 6.49991241 595 596 597 598 599 600 -0.02989621 -4.45812126 -2.79821695 -2.28792988 -5.57802557 4.14991241 601 602 603 604 605 606 8.90010379 13.75019948 -5.70821695 3.79991241 -1.18812126 4.48226150 607 608 609 610 611 612 8.85029517 -16.28745143 3.34264426 -10.33932207 -1.65960914 1.27245288 613 614 615 616 617 618 4.43226150 6.64226150 -12.00773850 -9.41970483 -14.22970483 -12.07932207 619 620 621 622 623 624 -14.52745143 -6.81764281 -10.04951345 -9.50960914 -6.16970483 19.57226150 625 626 627 628 629 630 1.49226150 -3.14745143 4.22245288 -1.04773850 -6.80951345 -8.01754712 631 632 633 634 635 636 -3.94764281 13.31245288 -4.98970483 -2.90970483 -12.45960914 -4.23764281 637 638 639 640 641 642 1.78029517 -2.33941776 -9.48773850 2.16039086 -3.41754712 2.30235719 643 644 645 646 647 648 -10.87764281 -13.56970483 0.84058224 -13.42970483 4.35235719 13.36245288 649 650 651 652 653 654 10.18039086 4.16039086 1.06029517 -16.81745143 -10.58960914 -6.24773850 > postscript(file="/var/www/html/freestat/rcomp/tmp/6110q1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > dum <- cbind(lag(myerror,k=1),myerror) > dum Time Series: Start = 0 End = 654 Frequency = 1 lag(myerror, k = 1) myerror 0 -7.29831264 NA 1 -4.80840833 -7.29831264 2 -2.51850401 -4.80840833 3 -8.79831264 -2.51850401 4 -5.42831264 -8.79831264 5 1.31159167 -5.42831264 6 1.80140030 1.31159167 7 -3.23859970 1.80140030 8 -2.17840833 -3.23859970 9 -4.95831264 -2.17840833 10 -1.36859970 -4.95831264 11 -4.69840833 -1.36859970 12 -0.11840833 -4.69840833 13 -0.86840833 -0.11840833 14 0.53159167 -0.86840833 15 -0.39850401 0.53159167 16 -0.33869539 -0.39850401 17 1.39140030 -0.33869539 18 -0.85831264 1.39140030 19 1.66168736 -0.85831264 20 -1.05869539 1.66168736 21 -2.49869539 -1.05869539 22 -11.88979108 -2.49869539 23 6.06149599 -11.88979108 24 5.50168736 6.06149599 25 3.64111323 5.50168736 26 -0.89831264 3.64111323 27 2.49130461 -0.89831264 28 7.75159167 2.49130461 29 -3.37831264 7.75159167 30 -2.23869539 -3.37831264 31 5.62168736 -2.23869539 32 4.68159167 5.62168736 33 1.21149599 4.68159167 34 1.06130461 1.21149599 35 -0.29840833 1.06130461 36 2.87168736 -0.29840833 37 -1.33840833 2.87168736 38 -6.57840833 -1.33840833 39 -2.00840833 -6.57840833 40 6.97168736 -2.00840833 41 2.15159167 6.97168736 42 2.70130461 2.15159167 43 -2.73840833 2.70130461 44 -1.62869539 -2.73840833 45 -3.61831264 -1.62869539 46 -3.47850401 -3.61831264 47 -8.60840833 -3.47850401 48 -0.88859970 -8.60840833 49 5.27159167 -0.88859970 50 5.11130461 5.27159167 51 3.59168736 5.11130461 52 11.18168736 3.59168736 53 -5.01840833 11.18168736 54 -1.04859970 -5.01840833 55 1.32168736 -1.04859970 56 5.78168736 1.32168736 57 4.47149599 5.78168736 58 2.96120892 4.47149599 59 -5.06840833 2.96120892 60 -0.81840833 -5.06840833 61 2.76159167 -0.81840833 62 -2.57859970 2.76159167 63 3.04120892 -2.57859970 64 -2.64840833 3.04120892 65 0.08140030 -2.64840833 66 -3.68831264 0.08140030 67 -3.40850401 -3.68831264 68 0.30130461 -3.40850401 69 1.22168736 0.30130461 70 -2.42840833 1.22168736 71 3.26159167 -2.42840833 72 2.77168736 3.26159167 73 0.19168736 2.77168736 74 -3.47831264 0.19168736 75 -1.82850401 -3.47831264 76 3.52130461 -1.82850401 77 -0.53869539 3.52130461 78 14.04168736 -0.53869539 79 -0.19859970 14.04168736 80 1.39149599 -0.19859970 81 -0.43859970 1.39149599 82 0.06159167 -0.43859970 83 -4.10840833 0.06159167 84 -0.54850401 -4.10840833 85 -0.60840833 -0.54850401 86 -7.18850401 -0.60840833 87 2.21168736 -7.18850401 88 0.74130461 2.21168736 89 -3.11831264 0.74130461 90 5.91168736 -3.11831264 91 5.26168736 5.91168736 92 -3.60850401 5.26168736 93 0.10159167 -3.60850401 94 1.83159167 0.10159167 95 -2.41831264 1.83159167 96 -6.86831264 -2.41831264 97 -2.72831264 -6.86831264 98 -2.89850401 -2.72831264 99 -6.81840833 -2.89850401 100 -9.12840833 -6.81840833 101 -3.22850401 -9.12840833 102 1.50168736 -3.22850401 103 -11.93279108 1.50168736 104 1.36168736 -11.93279108 105 2.40140030 1.36168736 106 1.49159167 2.40140030 107 -0.20859970 1.49159167 108 -2.29850401 -0.20859970 109 -3.68850401 -2.29850401 110 4.34159167 -3.68850401 111 -1.42850401 4.34159167 112 1.12149599 -1.42850401 113 2.48149599 1.12149599 114 -4.98850401 2.48149599 115 1.36159167 -4.98850401 116 -2.73850401 1.36159167 117 -3.09869539 -2.73850401 118 -3.32840833 -3.09869539 119 2.47149599 -3.32840833 120 -0.17831264 2.47149599 121 -1.44850401 -0.17831264 122 -5.10850401 -1.44850401 123 -4.00859970 -5.10850401 124 -1.14840833 -4.00859970 125 -5.07840833 -1.14840833 126 -6.42840833 -5.07840833 127 -3.97831264 -6.42840833 128 -3.62850401 -3.97831264 129 2.53159167 -3.62850401 130 2.12168736 2.53159167 131 -7.75840833 2.12168736 132 -5.29840833 -7.75840833 133 -4.90831264 -5.29840833 134 -1.35840833 -4.90831264 135 -1.66859970 -1.35840833 136 -3.90859970 -1.66859970 137 0.83159167 -3.90859970 138 -6.64831264 0.83159167 139 -14.26769539 -6.64831264 140 -0.66850401 -14.26769539 141 0.25168736 -0.66850401 142 -3.07859970 0.25168736 143 1.93168736 -3.07859970 144 6.76168736 1.93168736 145 -3.02831264 6.76168736 146 -2.11859970 -3.02831264 147 0.88159167 -2.11859970 148 6.04168736 0.88159167 149 7.22159167 6.04168736 150 4.60159167 7.22159167 151 -1.36831264 4.60159167 152 0.22168736 -1.36831264 153 1.54168736 0.22168736 154 -2.21850401 1.54168736 155 -4.45840833 -2.21850401 156 -2.02859970 -4.45840833 157 -1.78831264 -2.02859970 158 -3.89831264 -1.78831264 159 1.33168736 -3.89831264 160 0.74149599 1.33168736 161 -4.24840833 0.74149599 162 0.46130461 -4.24840833 163 -2.51840833 0.46130461 164 4.55168736 -2.51840833 165 -0.25859970 4.55168736 166 4.13168736 -0.25859970 167 -1.14859970 4.13168736 168 4.26159167 -1.14859970 169 3.13130461 4.26159167 170 -3.13850401 3.13130461 171 1.86149599 -3.13850401 172 5.16120892 1.86149599 173 5.66168736 5.16120892 174 2.98159167 5.66168736 175 -5.04831264 2.98159167 176 -3.46831264 -5.04831264 177 -1.21831264 -3.46831264 178 1.98130461 -1.21831264 179 -8.31831264 1.98130461 180 -8.06850401 -8.31831264 181 3.63140030 -8.06850401 182 -1.17831264 3.63140030 183 -2.07831264 -1.17831264 184 -7.21831264 -2.07831264 185 -1.81850401 -7.21831264 186 -3.59869539 -1.81850401 187 -0.17840833 -3.59869539 188 2.79168736 -0.17840833 189 -1.75850401 2.79168736 190 -2.70027897 -1.75850401 191 -8.69840833 -2.70027897 192 -3.18831264 -8.69840833 193 -0.72859970 -3.18831264 194 0.87140030 -0.72859970 195 5.04159167 0.87140030 196 4.33168736 5.04159167 197 -4.13869539 4.33168736 198 5.23140030 -4.13869539 199 3.65140030 5.23140030 200 -2.71831264 3.65140030 201 -2.81850401 -2.71831264 202 5.35168736 -2.81850401 203 -0.59840833 5.35168736 204 4.65130461 -0.59840833 205 1.23149599 4.65130461 206 -0.41859970 1.23149599 207 0.17168736 -0.41859970 208 -0.51850401 0.17168736 209 -2.73831264 -0.51850401 210 -3.07831264 -2.73831264 211 7.88159167 -3.07831264 212 0.91168736 7.88159167 213 -2.45850401 0.91168736 214 0.04168736 -2.45850401 215 -1.70879108 0.04168736 216 -3.81831264 -1.70879108 217 3.02130461 -3.81831264 218 1.00159167 3.02130461 219 -4.68831264 1.00159167 220 -6.48840833 -4.68831264 221 0.32111323 -6.48840833 222 -3.95831264 0.32111323 223 -6.92840833 -3.95831264 224 -3.15859970 -6.92840833 225 12.43168736 -3.15859970 226 -2.13840833 12.43168736 227 -3.07840833 -2.13840833 228 -6.01850401 -3.07840833 229 -4.00859970 -6.01850401 230 -1.88840833 -4.00859970 231 2.01168736 -1.88840833 232 1.16120892 2.01168736 233 -3.59850401 1.16120892 234 -0.69840833 -3.59850401 235 4.76159167 -0.69840833 236 7.85168736 4.76159167 237 0.57140030 7.85168736 238 -1.94840833 0.57140030 239 -2.15859970 -1.94840833 240 -4.60840833 -2.15859970 241 0.47168736 -4.60840833 242 1.30159167 0.47168736 243 -5.56850401 1.30159167 244 -3.61831264 -5.56850401 245 2.30159167 -3.61831264 246 -2.43850401 2.30159167 247 4.12168736 -2.43850401 248 -3.60840833 4.12168736 249 -6.83831264 -3.60840833 250 -3.95859970 -6.83831264 251 0.98159167 -3.95859970 252 -1.91831264 0.98159167 253 2.71159167 -1.91831264 254 8.01168736 2.71159167 255 0.19168736 8.01168736 256 1.77159167 0.19168736 257 -3.31850401 1.77159167 258 0.83130461 -3.31850401 259 0.84149599 0.83130461 260 0.21159167 0.84149599 261 -5.51831264 0.21159167 262 3.95168736 -5.51831264 263 -0.23859970 3.95168736 264 4.26159167 -0.23859970 265 5.78149599 4.26159167 266 -5.25831264 5.78149599 267 -0.94850401 -5.25831264 268 -0.36850401 -0.94850401 269 0.33130461 -0.36850401 270 3.65168736 0.33130461 271 4.85168736 3.65168736 272 1.53159167 4.85168736 273 -1.10840833 1.53159167 274 -5.82831264 -1.10840833 275 -2.03859970 -5.82831264 276 1.63149599 -2.03859970 277 4.24130461 1.63149599 278 -2.55831264 4.24130461 279 -1.46869539 -2.55831264 280 0.30149599 -1.46869539 281 -0.39859970 0.30149599 282 2.95159167 -0.39859970 283 3.94149599 2.95159167 284 -1.35840833 3.94149599 285 1.45120892 -1.35840833 286 1.28159167 1.45120892 287 0.08130461 1.28159167 288 -4.46840833 0.08130461 289 5.63149599 -4.46840833 290 5.92149599 5.63149599 291 0.49168736 5.92149599 292 -8.46831264 0.49168736 293 -5.80840833 -8.46831264 294 3.60168736 -5.80840833 295 -0.47859970 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3.18187874 -11.51980052 333 4.40178305 3.18187874 334 5.86187874 4.40178305 335 -2.22792988 5.86187874 336 -1.50821695 -2.22792988 337 -3.78821695 -1.50821695 338 -2.47802557 -3.78821695 339 -4.24821695 -2.47802557 340 -7.33821695 -4.24821695 341 -0.24821695 -7.33821695 342 0.53187874 -0.24821695 343 11.03187874 0.53187874 344 -5.17812126 11.03187874 345 5.80178305 -5.17812126 346 -1.41812126 5.80178305 347 1.07187874 -1.41812126 348 9.35207012 1.07187874 349 5.36207012 9.35207012 350 6.79187874 5.36207012 351 3.32187874 6.79187874 352 -1.66783419 3.32187874 353 1.54187874 -1.66783419 354 3.36178305 1.54187874 355 8.18178305 3.36178305 356 1.93178305 8.18178305 357 0.40019948 1.93178305 358 -5.50792988 0.40019948 359 -4.20821695 -5.50792988 360 10.80216581 -4.20821695 361 -3.18821695 10.80216581 362 2.04187874 -3.18821695 363 6.24207012 2.04187874 364 12.56197443 6.24207012 365 0.53010379 12.56197443 366 -0.78821695 0.53010379 367 -1.76792988 -0.78821695 368 -9.95008759 -1.76792988 369 5.69019948 -9.95008759 370 -5.57812126 5.69019948 371 16.34010379 -5.57812126 372 6.11187874 16.34010379 373 -1.49812126 6.11187874 374 0.49178305 -1.49812126 375 -4.40812126 0.49178305 376 -2.70812126 -4.40812126 377 3.77178305 -2.70812126 378 2.07187874 3.77178305 379 3.75207012 2.07187874 380 -5.37999190 3.75207012 381 -5.76821695 -5.37999190 382 5.12178305 -5.76821695 383 -3.13980052 5.12178305 384 10.73187874 -3.13980052 385 6.83178305 10.73187874 386 5.07187874 6.83178305 387 -0.69018328 5.07187874 388 2.67187874 -0.69018328 389 5.17207012 2.67187874 390 -7.23792988 5.17207012 391 -1.66821695 -7.23792988 392 6.83187874 -1.66821695 393 9.41187874 6.83187874 394 -1.65802557 9.41187874 395 2.20178305 -1.65802557 396 -8.47821695 2.20178305 397 -4.86812126 -8.47821695 398 -4.95821695 -4.86812126 399 -1.68812126 -4.95821695 400 6.70216581 -1.68812126 401 -3.93792988 6.70216581 402 9.13000810 -3.93792988 403 11.61187874 9.13000810 404 -5.85812126 11.61187874 405 6.92187874 -5.85812126 406 -2.07783419 6.92187874 407 -3.85802557 -2.07783419 408 0.02178305 -3.85802557 409 -5.80802557 0.02178305 410 -3.61812126 -5.80802557 411 -0.62821695 -3.61812126 412 -5.49812126 -0.62821695 413 -5.55989621 -5.49812126 414 -12.12821695 -5.55989621 415 11.24178305 -12.12821695 416 -4.12812126 11.24178305 417 -3.09792988 -4.12812126 418 -1.25821695 -3.09792988 419 0.89187874 -1.25821695 420 6.34178305 0.89187874 421 16.01010379 6.34178305 422 8.70187874 16.01010379 423 1.84178305 8.70187874 424 0.84187874 1.84178305 425 -4.05812126 0.84187874 426 -4.33783419 -4.05812126 427 -0.16812126 -4.33783419 428 -6.65792988 -0.16812126 429 6.11187874 -6.65792988 430 5.21187874 6.11187874 431 -3.83821695 5.21187874 432 -9.35792988 -3.83821695 433 -3.05821695 -9.35792988 434 -0.68989621 -3.05821695 435 0.25178305 -0.68989621 436 -2.68802557 0.25178305 437 1.42178305 -2.68802557 438 9.21019948 1.42178305 439 1.18197443 9.21019948 440 9.56981672 1.18197443 441 16.89187874 9.56981672 442 5.08216581 16.89187874 443 -12.20802557 5.08216581 444 -8.12821695 -12.20802557 445 5.18981672 -8.12821695 446 6.79178305 5.18981672 447 2.30178305 6.79178305 448 -8.95802557 2.30178305 449 8.55207012 -8.95802557 450 3.19187874 8.55207012 451 20.87197443 3.19187874 452 11.69187874 20.87197443 453 9.43197443 11.69187874 454 -2.97812126 9.43197443 455 4.79991241 -2.97812126 456 12.74197443 4.79991241 457 6.54197443 12.74197443 458 -2.80792988 6.54197443 459 -4.38812126 -2.80792988 460 4.21000810 -4.38812126 461 5.29178305 4.21000810 462 -2.23802557 5.29178305 463 15.07207012 -2.23802557 464 -3.12821695 15.07207012 465 1.42197443 -3.12821695 466 -0.89821695 1.42197443 467 -7.89802557 -0.89821695 468 0.20178305 -7.89802557 469 -0.76812126 0.20178305 470 -7.97821695 -0.76812126 471 8.29000810 -7.97821695 472 -10.64783419 8.29000810 473 0.87178305 -10.64783419 474 3.79178305 0.87178305 475 -0.57802557 3.79178305 476 -4.69821695 -0.57802557 477 -8.12821695 -4.69821695 478 -9.38989621 -8.12821695 479 2.66197443 -9.38989621 480 3.64197443 2.66197443 481 -3.25812126 3.64197443 482 -0.76989621 -3.25812126 483 2.64000810 -0.76989621 484 -10.05821695 2.64000810 485 -8.22812126 -10.05821695 486 0.70187874 -8.22812126 487 1.42010379 0.70187874 488 9.36197443 1.42010379 489 10.78207012 9.36197443 490 6.14207012 10.78207012 491 -4.20821695 6.14207012 492 -3.84802557 -4.20821695 493 -6.17999190 -3.84802557 494 0.77216581 -6.17999190 495 4.12991241 0.77216581 496 1.91178305 4.12991241 497 -4.77989621 1.91178305 498 1.19187874 -4.77989621 499 7.77187874 1.19187874 500 -1.14792988 7.77187874 501 5.55197443 -1.14792988 502 -3.14821695 5.55197443 503 19.20178305 -3.14821695 504 -0.54802557 19.20178305 505 1.42010379 -0.54802557 506 3.54187874 1.42010379 507 -4.54821695 3.54187874 508 3.43187874 -4.54821695 509 14.20187874 3.43187874 510 -5.41812126 14.20187874 511 -3.40812126 -5.41812126 512 3.02187874 -3.40812126 513 -0.17783419 3.02187874 514 15.83197443 -0.17783419 515 -0.38792988 15.83197443 516 17.13207012 -0.38792988 517 10.41981672 17.13207012 518 -7.19802557 10.41981672 519 -3.06821695 -7.19802557 520 -3.29821695 -3.06821695 521 -1.62999190 -3.29821695 522 2.63991241 -1.62999190 523 0.94197443 2.63991241 524 1.74187874 0.94197443 525 4.65187874 1.74187874 526 3.92197443 4.65187874 527 -2.70802557 3.92197443 528 -7.11783419 -2.70802557 529 1.18187874 -7.11783419 530 4.56178305 1.18187874 531 -0.37812126 4.56178305 532 -5.31802557 -0.37812126 533 -3.13792988 -5.31802557 534 -5.67802557 -3.13792988 535 -4.02812126 -5.67802557 536 4.16187874 -4.02812126 537 -7.80812126 4.16187874 538 1.77216581 -7.80812126 539 9.43187874 1.77216581 540 6.30010379 9.43187874 541 7.87197443 6.30010379 542 -5.38821695 7.87197443 543 -3.84802557 -5.38821695 544 -9.20792988 -3.84802557 545 7.85178305 -9.20792988 546 4.02178305 7.85178305 547 0.17178305 4.02178305 548 6.58178305 0.17178305 549 6.68216581 6.58178305 550 3.93197443 6.68216581 551 0.24187874 3.93197443 552 -2.14812126 0.24187874 553 -8.04802557 -2.14812126 554 -6.68783419 -8.04802557 555 -11.11980052 -6.68783419 556 4.39178305 -11.11980052 557 -0.09812126 4.39178305 558 19.47991241 -0.09812126 559 -2.35821695 19.47991241 560 1.67178305 -2.35821695 561 -1.01802557 1.67178305 562 16.94197443 -1.01802557 563 -0.91812126 16.94197443 564 -4.22802557 -0.91812126 565 4.15178305 -4.22802557 566 3.82197443 4.15178305 567 8.62207012 3.82197443 568 0.99178305 8.62207012 569 2.04197443 0.99178305 570 4.19178305 2.04197443 571 -8.38792988 4.19178305 572 -3.14802557 -8.38792988 573 5.81981672 -3.14802557 574 -2.01802557 5.81981672 575 -1.02821695 -2.01802557 576 -5.16812126 -1.02821695 577 -6.37802557 -5.16812126 578 12.26187874 -6.37802557 579 -1.35802557 12.26187874 580 4.61178305 -1.35802557 581 2.07207012 4.61178305 582 0.85197443 2.07207012 583 3.76187874 0.85197443 584 -2.44812126 3.76187874 585 -0.81812126 -2.44812126 586 -7.63812126 -0.81812126 587 10.66197443 -7.63812126 588 -6.05783419 10.66197443 589 4.30991241 -6.05783419 590 -3.41812126 4.30991241 591 -0.54802557 -3.41812126 592 2.03216581 -0.54802557 593 6.49991241 2.03216581 594 -0.02989621 6.49991241 595 -4.45812126 -0.02989621 596 -2.79821695 -4.45812126 597 -2.28792988 -2.79821695 598 -5.57802557 -2.28792988 599 4.14991241 -5.57802557 600 8.90010379 4.14991241 601 13.75019948 8.90010379 602 -5.70821695 13.75019948 603 3.79991241 -5.70821695 604 -1.18812126 3.79991241 605 4.48226150 -1.18812126 606 8.85029517 4.48226150 607 -16.28745143 8.85029517 608 3.34264426 -16.28745143 609 -10.33932207 3.34264426 610 -1.65960914 -10.33932207 611 1.27245288 -1.65960914 612 4.43226150 1.27245288 613 6.64226150 4.43226150 614 -12.00773850 6.64226150 615 -9.41970483 -12.00773850 616 -14.22970483 -9.41970483 617 -12.07932207 -14.22970483 618 -14.52745143 -12.07932207 619 -6.81764281 -14.52745143 620 -10.04951345 -6.81764281 621 -9.50960914 -10.04951345 622 -6.16970483 -9.50960914 623 19.57226150 -6.16970483 624 1.49226150 19.57226150 625 -3.14745143 1.49226150 626 4.22245288 -3.14745143 627 -1.04773850 4.22245288 628 -6.80951345 -1.04773850 629 -8.01754712 -6.80951345 630 -3.94764281 -8.01754712 631 13.31245288 -3.94764281 632 -4.98970483 13.31245288 633 -2.90970483 -4.98970483 634 -12.45960914 -2.90970483 635 -4.23764281 -12.45960914 636 1.78029517 -4.23764281 637 -2.33941776 1.78029517 638 -9.48773850 -2.33941776 639 2.16039086 -9.48773850 640 -3.41754712 2.16039086 641 2.30235719 -3.41754712 642 -10.87764281 2.30235719 643 -13.56970483 -10.87764281 644 0.84058224 -13.56970483 645 -13.42970483 0.84058224 646 4.35235719 -13.42970483 647 13.36245288 4.35235719 648 10.18039086 13.36245288 649 4.16039086 10.18039086 650 1.06029517 4.16039086 651 -16.81745143 1.06029517 652 -10.58960914 -16.81745143 653 -6.24773850 -10.58960914 654 NA -6.24773850 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] -4.80840833 -7.29831264 [2,] -2.51850401 -4.80840833 [3,] -8.79831264 -2.51850401 [4,] -5.42831264 -8.79831264 [5,] 1.31159167 -5.42831264 [6,] 1.80140030 1.31159167 [7,] -3.23859970 1.80140030 [8,] -2.17840833 -3.23859970 [9,] -4.95831264 -2.17840833 [10,] -1.36859970 -4.95831264 [11,] -4.69840833 -1.36859970 [12,] -0.11840833 -4.69840833 [13,] -0.86840833 -0.11840833 [14,] 0.53159167 -0.86840833 [15,] -0.39850401 0.53159167 [16,] -0.33869539 -0.39850401 [17,] 1.39140030 -0.33869539 [18,] -0.85831264 1.39140030 [19,] 1.66168736 -0.85831264 [20,] -1.05869539 1.66168736 [21,] -2.49869539 -1.05869539 [22,] -11.88979108 -2.49869539 [23,] 6.06149599 -11.88979108 [24,] 5.50168736 6.06149599 [25,] 3.64111323 5.50168736 [26,] -0.89831264 3.64111323 [27,] 2.49130461 -0.89831264 [28,] 7.75159167 2.49130461 [29,] -3.37831264 7.75159167 [30,] -2.23869539 -3.37831264 [31,] 5.62168736 -2.23869539 [32,] 4.68159167 5.62168736 [33,] 1.21149599 4.68159167 [34,] 1.06130461 1.21149599 [35,] -0.29840833 1.06130461 [36,] 2.87168736 -0.29840833 [37,] -1.33840833 2.87168736 [38,] -6.57840833 -1.33840833 [39,] -2.00840833 -6.57840833 [40,] 6.97168736 -2.00840833 [41,] 2.15159167 6.97168736 [42,] 2.70130461 2.15159167 [43,] -2.73840833 2.70130461 [44,] -1.62869539 -2.73840833 [45,] -3.61831264 -1.62869539 [46,] -3.47850401 -3.61831264 [47,] -8.60840833 -3.47850401 [48,] -0.88859970 -8.60840833 [49,] 5.27159167 -0.88859970 [50,] 5.11130461 5.27159167 [51,] 3.59168736 5.11130461 [52,] 11.18168736 3.59168736 [53,] -5.01840833 11.18168736 [54,] -1.04859970 -5.01840833 [55,] 1.32168736 -1.04859970 [56,] 5.78168736 1.32168736 [57,] 4.47149599 5.78168736 [58,] 2.96120892 4.47149599 [59,] -5.06840833 2.96120892 [60,] -0.81840833 -5.06840833 [61,] 2.76159167 -0.81840833 [62,] -2.57859970 2.76159167 [63,] 3.04120892 -2.57859970 [64,] -2.64840833 3.04120892 [65,] 0.08140030 -2.64840833 [66,] -3.68831264 0.08140030 [67,] -3.40850401 -3.68831264 [68,] 0.30130461 -3.40850401 [69,] 1.22168736 0.30130461 [70,] -2.42840833 1.22168736 [71,] 3.26159167 -2.42840833 [72,] 2.77168736 3.26159167 [73,] 0.19168736 2.77168736 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1.49159167 [108,] -2.29850401 -0.20859970 [109,] -3.68850401 -2.29850401 [110,] 4.34159167 -3.68850401 [111,] -1.42850401 4.34159167 [112,] 1.12149599 -1.42850401 [113,] 2.48149599 1.12149599 [114,] -4.98850401 2.48149599 [115,] 1.36159167 -4.98850401 [116,] -2.73850401 1.36159167 [117,] -3.09869539 -2.73850401 [118,] -3.32840833 -3.09869539 [119,] 2.47149599 -3.32840833 [120,] -0.17831264 2.47149599 [121,] -1.44850401 -0.17831264 [122,] -5.10850401 -1.44850401 [123,] -4.00859970 -5.10850401 [124,] -1.14840833 -4.00859970 [125,] -5.07840833 -1.14840833 [126,] -6.42840833 -5.07840833 [127,] -3.97831264 -6.42840833 [128,] -3.62850401 -3.97831264 [129,] 2.53159167 -3.62850401 [130,] 2.12168736 2.53159167 [131,] -7.75840833 2.12168736 [132,] -5.29840833 -7.75840833 [133,] -4.90831264 -5.29840833 [134,] -1.35840833 -4.90831264 [135,] -1.66859970 -1.35840833 [136,] -3.90859970 -1.66859970 [137,] 0.83159167 -3.90859970 [138,] -6.64831264 0.83159167 [139,] -14.26769539 -6.64831264 [140,] 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1.23149599 [207,] 0.17168736 -0.41859970 [208,] -0.51850401 0.17168736 [209,] -2.73831264 -0.51850401 [210,] -3.07831264 -2.73831264 [211,] 7.88159167 -3.07831264 [212,] 0.91168736 7.88159167 [213,] -2.45850401 0.91168736 [214,] 0.04168736 -2.45850401 [215,] -1.70879108 0.04168736 [216,] -3.81831264 -1.70879108 [217,] 3.02130461 -3.81831264 [218,] 1.00159167 3.02130461 [219,] -4.68831264 1.00159167 [220,] -6.48840833 -4.68831264 [221,] 0.32111323 -6.48840833 [222,] -3.95831264 0.32111323 [223,] -6.92840833 -3.95831264 [224,] -3.15859970 -6.92840833 [225,] 12.43168736 -3.15859970 [226,] -2.13840833 12.43168736 [227,] -3.07840833 -2.13840833 [228,] -6.01850401 -3.07840833 [229,] -4.00859970 -6.01850401 [230,] -1.88840833 -4.00859970 [231,] 2.01168736 -1.88840833 [232,] 1.16120892 2.01168736 [233,] -3.59850401 1.16120892 [234,] -0.69840833 -3.59850401 [235,] 4.76159167 -0.69840833 [236,] 7.85168736 4.76159167 [237,] 0.57140030 7.85168736 [238,] -1.94840833 0.57140030 [239,] -2.15859970 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[273,] -1.10840833 1.53159167 [274,] -5.82831264 -1.10840833 [275,] -2.03859970 -5.82831264 [276,] 1.63149599 -2.03859970 [277,] 4.24130461 1.63149599 [278,] -2.55831264 4.24130461 [279,] -1.46869539 -2.55831264 [280,] 0.30149599 -1.46869539 [281,] -0.39859970 0.30149599 [282,] 2.95159167 -0.39859970 [283,] 3.94149599 2.95159167 [284,] -1.35840833 3.94149599 [285,] 1.45120892 -1.35840833 [286,] 1.28159167 1.45120892 [287,] 0.08130461 1.28159167 [288,] -4.46840833 0.08130461 [289,] 5.63149599 -4.46840833 [290,] 5.92149599 5.63149599 [291,] 0.49168736 5.92149599 [292,] -8.46831264 0.49168736 [293,] -5.80840833 -8.46831264 [294,] 3.60168736 -5.80840833 [295,] -0.47859970 3.60168736 [296,] -2.05840833 -0.47859970 [297,] -5.68831264 -2.05840833 [298,] -2.68879108 -5.68831264 [299,] -3.11859970 -2.68879108 [300,] -1.45850401 -3.11859970 [301,] 2.50168736 -1.45850401 [302,] -5.47840833 2.50168736 [303,] -0.66859970 -5.47840833 [304,] -1.89840833 -0.66859970 [305,] 3.99149599 -1.89840833 [306,] 6.09130461 3.99149599 [307,] 1.23159167 6.09130461 [308,] -4.76850401 1.23159167 [309,] -0.19812126 -4.76850401 [310,] -3.42821695 -0.19812126 [311,] -2.21783419 -3.42821695 [312,] -7.33812126 -2.21783419 [313,] 5.66187874 -7.33812126 [314,] -0.78802557 5.66187874 [315,] -8.59821695 -0.78802557 [316,] -3.79812126 -8.59821695 [317,] -0.28821695 -3.79812126 [318,] 1.38216581 -0.28821695 [319,] 9.66207012 1.38216581 [320,] 12.39216581 9.66207012 [321,] 14.13197443 12.39216581 [322,] -2.95802557 14.13197443 [323,] 4.95178305 -2.95802557 [324,] 4.46207012 4.95178305 [325,] -1.09821695 4.46207012 [326,] 7.50187874 -1.09821695 [327,] -1.89821695 7.50187874 [328,] -2.38812126 -1.89821695 [329,] 5.32178305 -2.38812126 [330,] 1.79207012 5.32178305 [331,] -11.51980052 1.79207012 [332,] 3.18187874 -11.51980052 [333,] 4.40178305 3.18187874 [334,] 5.86187874 4.40178305 [335,] -2.22792988 5.86187874 [336,] -1.50821695 -2.22792988 [337,] -3.78821695 -1.50821695 [338,] -2.47802557 -3.78821695 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6.11187874 16.34010379 [373,] -1.49812126 6.11187874 [374,] 0.49178305 -1.49812126 [375,] -4.40812126 0.49178305 [376,] -2.70812126 -4.40812126 [377,] 3.77178305 -2.70812126 [378,] 2.07187874 3.77178305 [379,] 3.75207012 2.07187874 [380,] -5.37999190 3.75207012 [381,] -5.76821695 -5.37999190 [382,] 5.12178305 -5.76821695 [383,] -3.13980052 5.12178305 [384,] 10.73187874 -3.13980052 [385,] 6.83178305 10.73187874 [386,] 5.07187874 6.83178305 [387,] -0.69018328 5.07187874 [388,] 2.67187874 -0.69018328 [389,] 5.17207012 2.67187874 [390,] -7.23792988 5.17207012 [391,] -1.66821695 -7.23792988 [392,] 6.83187874 -1.66821695 [393,] 9.41187874 6.83187874 [394,] -1.65802557 9.41187874 [395,] 2.20178305 -1.65802557 [396,] -8.47821695 2.20178305 [397,] -4.86812126 -8.47821695 [398,] -4.95821695 -4.86812126 [399,] -1.68812126 -4.95821695 [400,] 6.70216581 -1.68812126 [401,] -3.93792988 6.70216581 [402,] 9.13000810 -3.93792988 [403,] 11.61187874 9.13000810 [404,] -5.85812126 11.61187874 [405,] 6.92187874 -5.85812126 [406,] -2.07783419 6.92187874 [407,] -3.85802557 -2.07783419 [408,] 0.02178305 -3.85802557 [409,] -5.80802557 0.02178305 [410,] -3.61812126 -5.80802557 [411,] -0.62821695 -3.61812126 [412,] -5.49812126 -0.62821695 [413,] -5.55989621 -5.49812126 [414,] -12.12821695 -5.55989621 [415,] 11.24178305 -12.12821695 [416,] -4.12812126 11.24178305 [417,] -3.09792988 -4.12812126 [418,] -1.25821695 -3.09792988 [419,] 0.89187874 -1.25821695 [420,] 6.34178305 0.89187874 [421,] 16.01010379 6.34178305 [422,] 8.70187874 16.01010379 [423,] 1.84178305 8.70187874 [424,] 0.84187874 1.84178305 [425,] -4.05812126 0.84187874 [426,] -4.33783419 -4.05812126 [427,] -0.16812126 -4.33783419 [428,] -6.65792988 -0.16812126 [429,] 6.11187874 -6.65792988 [430,] 5.21187874 6.11187874 [431,] -3.83821695 5.21187874 [432,] -9.35792988 -3.83821695 [433,] -3.05821695 -9.35792988 [434,] -0.68989621 -3.05821695 [435,] 0.25178305 -0.68989621 [436,] -2.68802557 0.25178305 [437,] 1.42178305 -2.68802557 [438,] 9.21019948 1.42178305 [439,] 1.18197443 9.21019948 [440,] 9.56981672 1.18197443 [441,] 16.89187874 9.56981672 [442,] 5.08216581 16.89187874 [443,] -12.20802557 5.08216581 [444,] -8.12821695 -12.20802557 [445,] 5.18981672 -8.12821695 [446,] 6.79178305 5.18981672 [447,] 2.30178305 6.79178305 [448,] -8.95802557 2.30178305 [449,] 8.55207012 -8.95802557 [450,] 3.19187874 8.55207012 [451,] 20.87197443 3.19187874 [452,] 11.69187874 20.87197443 [453,] 9.43197443 11.69187874 [454,] -2.97812126 9.43197443 [455,] 4.79991241 -2.97812126 [456,] 12.74197443 4.79991241 [457,] 6.54197443 12.74197443 [458,] -2.80792988 6.54197443 [459,] -4.38812126 -2.80792988 [460,] 4.21000810 -4.38812126 [461,] 5.29178305 4.21000810 [462,] -2.23802557 5.29178305 [463,] 15.07207012 -2.23802557 [464,] -3.12821695 15.07207012 [465,] 1.42197443 -3.12821695 [466,] -0.89821695 1.42197443 [467,] -7.89802557 -0.89821695 [468,] 0.20178305 -7.89802557 [469,] -0.76812126 0.20178305 [470,] -7.97821695 -0.76812126 [471,] 8.29000810 -7.97821695 [472,] -10.64783419 8.29000810 [473,] 0.87178305 -10.64783419 [474,] 3.79178305 0.87178305 [475,] -0.57802557 3.79178305 [476,] -4.69821695 -0.57802557 [477,] -8.12821695 -4.69821695 [478,] -9.38989621 -8.12821695 [479,] 2.66197443 -9.38989621 [480,] 3.64197443 2.66197443 [481,] -3.25812126 3.64197443 [482,] -0.76989621 -3.25812126 [483,] 2.64000810 -0.76989621 [484,] -10.05821695 2.64000810 [485,] -8.22812126 -10.05821695 [486,] 0.70187874 -8.22812126 [487,] 1.42010379 0.70187874 [488,] 9.36197443 1.42010379 [489,] 10.78207012 9.36197443 [490,] 6.14207012 10.78207012 [491,] -4.20821695 6.14207012 [492,] -3.84802557 -4.20821695 [493,] -6.17999190 -3.84802557 [494,] 0.77216581 -6.17999190 [495,] 4.12991241 0.77216581 [496,] 1.91178305 4.12991241 [497,] -4.77989621 1.91178305 [498,] 1.19187874 -4.77989621 [499,] 7.77187874 1.19187874 [500,] -1.14792988 7.77187874 [501,] 5.55197443 -1.14792988 [502,] -3.14821695 5.55197443 [503,] 19.20178305 -3.14821695 [504,] -0.54802557 19.20178305 [505,] 1.42010379 -0.54802557 [506,] 3.54187874 1.42010379 [507,] -4.54821695 3.54187874 [508,] 3.43187874 -4.54821695 [509,] 14.20187874 3.43187874 [510,] -5.41812126 14.20187874 [511,] -3.40812126 -5.41812126 [512,] 3.02187874 -3.40812126 [513,] -0.17783419 3.02187874 [514,] 15.83197443 -0.17783419 [515,] -0.38792988 15.83197443 [516,] 17.13207012 -0.38792988 [517,] 10.41981672 17.13207012 [518,] -7.19802557 10.41981672 [519,] -3.06821695 -7.19802557 [520,] -3.29821695 -3.06821695 [521,] -1.62999190 -3.29821695 [522,] 2.63991241 -1.62999190 [523,] 0.94197443 2.63991241 [524,] 1.74187874 0.94197443 [525,] 4.65187874 1.74187874 [526,] 3.92197443 4.65187874 [527,] -2.70802557 3.92197443 [528,] -7.11783419 -2.70802557 [529,] 1.18187874 -7.11783419 [530,] 4.56178305 1.18187874 [531,] -0.37812126 4.56178305 [532,] -5.31802557 -0.37812126 [533,] -3.13792988 -5.31802557 [534,] -5.67802557 -3.13792988 [535,] -4.02812126 -5.67802557 [536,] 4.16187874 -4.02812126 [537,] -7.80812126 4.16187874 [538,] 1.77216581 -7.80812126 [539,] 9.43187874 1.77216581 [540,] 6.30010379 9.43187874 [541,] 7.87197443 6.30010379 [542,] -5.38821695 7.87197443 [543,] -3.84802557 -5.38821695 [544,] -9.20792988 -3.84802557 [545,] 7.85178305 -9.20792988 [546,] 4.02178305 7.85178305 [547,] 0.17178305 4.02178305 [548,] 6.58178305 0.17178305 [549,] 6.68216581 6.58178305 [550,] 3.93197443 6.68216581 [551,] 0.24187874 3.93197443 [552,] -2.14812126 0.24187874 [553,] -8.04802557 -2.14812126 [554,] -6.68783419 -8.04802557 [555,] -11.11980052 -6.68783419 [556,] 4.39178305 -11.11980052 [557,] -0.09812126 4.39178305 [558,] 19.47991241 -0.09812126 [559,] -2.35821695 19.47991241 [560,] 1.67178305 -2.35821695 [561,] -1.01802557 1.67178305 [562,] 16.94197443 -1.01802557 [563,] -0.91812126 16.94197443 [564,] -4.22802557 -0.91812126 [565,] 4.15178305 -4.22802557 [566,] 3.82197443 4.15178305 [567,] 8.62207012 3.82197443 [568,] 0.99178305 8.62207012 [569,] 2.04197443 0.99178305 [570,] 4.19178305 2.04197443 [571,] -8.38792988 4.19178305 [572,] -3.14802557 -8.38792988 [573,] 5.81981672 -3.14802557 [574,] -2.01802557 5.81981672 [575,] -1.02821695 -2.01802557 [576,] -5.16812126 -1.02821695 [577,] -6.37802557 -5.16812126 [578,] 12.26187874 -6.37802557 [579,] -1.35802557 12.26187874 [580,] 4.61178305 -1.35802557 [581,] 2.07207012 4.61178305 [582,] 0.85197443 2.07207012 [583,] 3.76187874 0.85197443 [584,] -2.44812126 3.76187874 [585,] -0.81812126 -2.44812126 [586,] -7.63812126 -0.81812126 [587,] 10.66197443 -7.63812126 [588,] -6.05783419 10.66197443 [589,] 4.30991241 -6.05783419 [590,] -3.41812126 4.30991241 [591,] -0.54802557 -3.41812126 [592,] 2.03216581 -0.54802557 [593,] 6.49991241 2.03216581 [594,] -0.02989621 6.49991241 [595,] -4.45812126 -0.02989621 [596,] -2.79821695 -4.45812126 [597,] -2.28792988 -2.79821695 [598,] -5.57802557 -2.28792988 [599,] 4.14991241 -5.57802557 [600,] 8.90010379 4.14991241 [601,] 13.75019948 8.90010379 [602,] -5.70821695 13.75019948 [603,] 3.79991241 -5.70821695 [604,] -1.18812126 3.79991241 [605,] 4.48226150 -1.18812126 [606,] 8.85029517 4.48226150 [607,] -16.28745143 8.85029517 [608,] 3.34264426 -16.28745143 [609,] -10.33932207 3.34264426 [610,] -1.65960914 -10.33932207 [611,] 1.27245288 -1.65960914 [612,] 4.43226150 1.27245288 [613,] 6.64226150 4.43226150 [614,] -12.00773850 6.64226150 [615,] -9.41970483 -12.00773850 [616,] -14.22970483 -9.41970483 [617,] -12.07932207 -14.22970483 [618,] -14.52745143 -12.07932207 [619,] -6.81764281 -14.52745143 [620,] -10.04951345 -6.81764281 [621,] -9.50960914 -10.04951345 [622,] -6.16970483 -9.50960914 [623,] 19.57226150 -6.16970483 [624,] 1.49226150 19.57226150 [625,] -3.14745143 1.49226150 [626,] 4.22245288 -3.14745143 [627,] -1.04773850 4.22245288 [628,] -6.80951345 -1.04773850 [629,] -8.01754712 -6.80951345 [630,] -3.94764281 -8.01754712 [631,] 13.31245288 -3.94764281 [632,] -4.98970483 13.31245288 [633,] -2.90970483 -4.98970483 [634,] -12.45960914 -2.90970483 [635,] -4.23764281 -12.45960914 [636,] 1.78029517 -4.23764281 [637,] -2.33941776 1.78029517 [638,] -9.48773850 -2.33941776 [639,] 2.16039086 -9.48773850 [640,] -3.41754712 2.16039086 [641,] 2.30235719 -3.41754712 [642,] -10.87764281 2.30235719 [643,] -13.56970483 -10.87764281 [644,] 0.84058224 -13.56970483 [645,] -13.42970483 0.84058224 [646,] 4.35235719 -13.42970483 [647,] 13.36245288 4.35235719 [648,] 10.18039086 13.36245288 [649,] 4.16039086 10.18039086 [650,] 1.06029517 4.16039086 [651,] -16.81745143 1.06029517 [652,] -10.58960914 -16.81745143 [653,] -6.24773850 -10.58960914 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 -4.80840833 -7.29831264 2 -2.51850401 -4.80840833 3 -8.79831264 -2.51850401 4 -5.42831264 -8.79831264 5 1.31159167 -5.42831264 6 1.80140030 1.31159167 7 -3.23859970 1.80140030 8 -2.17840833 -3.23859970 9 -4.95831264 -2.17840833 10 -1.36859970 -4.95831264 11 -4.69840833 -1.36859970 12 -0.11840833 -4.69840833 13 -0.86840833 -0.11840833 14 0.53159167 -0.86840833 15 -0.39850401 0.53159167 16 -0.33869539 -0.39850401 17 1.39140030 -0.33869539 18 -0.85831264 1.39140030 19 1.66168736 -0.85831264 20 -1.05869539 1.66168736 21 -2.49869539 -1.05869539 22 -11.88979108 -2.49869539 23 6.06149599 -11.88979108 24 5.50168736 6.06149599 25 3.64111323 5.50168736 26 -0.89831264 3.64111323 27 2.49130461 -0.89831264 28 7.75159167 2.49130461 29 -3.37831264 7.75159167 30 -2.23869539 -3.37831264 31 5.62168736 -2.23869539 32 4.68159167 5.62168736 33 1.21149599 4.68159167 34 1.06130461 1.21149599 35 -0.29840833 1.06130461 36 2.87168736 -0.29840833 37 -1.33840833 2.87168736 38 -6.57840833 -1.33840833 39 -2.00840833 -6.57840833 40 6.97168736 -2.00840833 41 2.15159167 6.97168736 42 2.70130461 2.15159167 43 -2.73840833 2.70130461 44 -1.62869539 -2.73840833 45 -3.61831264 -1.62869539 46 -3.47850401 -3.61831264 47 -8.60840833 -3.47850401 48 -0.88859970 -8.60840833 49 5.27159167 -0.88859970 50 5.11130461 5.27159167 51 3.59168736 5.11130461 52 11.18168736 3.59168736 53 -5.01840833 11.18168736 54 -1.04859970 -5.01840833 55 1.32168736 -1.04859970 56 5.78168736 1.32168736 57 4.47149599 5.78168736 58 2.96120892 4.47149599 59 -5.06840833 2.96120892 60 -0.81840833 -5.06840833 61 2.76159167 -0.81840833 62 -2.57859970 2.76159167 63 3.04120892 -2.57859970 64 -2.64840833 3.04120892 65 0.08140030 -2.64840833 66 -3.68831264 0.08140030 67 -3.40850401 -3.68831264 68 0.30130461 -3.40850401 69 1.22168736 0.30130461 70 -2.42840833 1.22168736 71 3.26159167 -2.42840833 72 2.77168736 3.26159167 73 0.19168736 2.77168736 74 -3.47831264 0.19168736 75 -1.82850401 -3.47831264 76 3.52130461 -1.82850401 77 -0.53869539 3.52130461 78 14.04168736 -0.53869539 79 -0.19859970 14.04168736 80 1.39149599 -0.19859970 81 -0.43859970 1.39149599 82 0.06159167 -0.43859970 83 -4.10840833 0.06159167 84 -0.54850401 -4.10840833 85 -0.60840833 -0.54850401 86 -7.18850401 -0.60840833 87 2.21168736 -7.18850401 88 0.74130461 2.21168736 89 -3.11831264 0.74130461 90 5.91168736 -3.11831264 91 5.26168736 5.91168736 92 -3.60850401 5.26168736 93 0.10159167 -3.60850401 94 1.83159167 0.10159167 95 -2.41831264 1.83159167 96 -6.86831264 -2.41831264 97 -2.72831264 -6.86831264 98 -2.89850401 -2.72831264 99 -6.81840833 -2.89850401 100 -9.12840833 -6.81840833 101 -3.22850401 -9.12840833 102 1.50168736 -3.22850401 103 -11.93279108 1.50168736 104 1.36168736 -11.93279108 105 2.40140030 1.36168736 106 1.49159167 2.40140030 107 -0.20859970 1.49159167 108 -2.29850401 -0.20859970 109 -3.68850401 -2.29850401 110 4.34159167 -3.68850401 111 -1.42850401 4.34159167 112 1.12149599 -1.42850401 113 2.48149599 1.12149599 114 -4.98850401 2.48149599 115 1.36159167 -4.98850401 116 -2.73850401 1.36159167 117 -3.09869539 -2.73850401 118 -3.32840833 -3.09869539 119 2.47149599 -3.32840833 120 -0.17831264 2.47149599 121 -1.44850401 -0.17831264 122 -5.10850401 -1.44850401 123 -4.00859970 -5.10850401 124 -1.14840833 -4.00859970 125 -5.07840833 -1.14840833 126 -6.42840833 -5.07840833 127 -3.97831264 -6.42840833 128 -3.62850401 -3.97831264 129 2.53159167 -3.62850401 130 2.12168736 2.53159167 131 -7.75840833 2.12168736 132 -5.29840833 -7.75840833 133 -4.90831264 -5.29840833 134 -1.35840833 -4.90831264 135 -1.66859970 -1.35840833 136 -3.90859970 -1.66859970 137 0.83159167 -3.90859970 138 -6.64831264 0.83159167 139 -14.26769539 -6.64831264 140 -0.66850401 -14.26769539 141 0.25168736 -0.66850401 142 -3.07859970 0.25168736 143 1.93168736 -3.07859970 144 6.76168736 1.93168736 145 -3.02831264 6.76168736 146 -2.11859970 -3.02831264 147 0.88159167 -2.11859970 148 6.04168736 0.88159167 149 7.22159167 6.04168736 150 4.60159167 7.22159167 151 -1.36831264 4.60159167 152 0.22168736 -1.36831264 153 1.54168736 0.22168736 154 -2.21850401 1.54168736 155 -4.45840833 -2.21850401 156 -2.02859970 -4.45840833 157 -1.78831264 -2.02859970 158 -3.89831264 -1.78831264 159 1.33168736 -3.89831264 160 0.74149599 1.33168736 161 -4.24840833 0.74149599 162 0.46130461 -4.24840833 163 -2.51840833 0.46130461 164 4.55168736 -2.51840833 165 -0.25859970 4.55168736 166 4.13168736 -0.25859970 167 -1.14859970 4.13168736 168 4.26159167 -1.14859970 169 3.13130461 4.26159167 170 -3.13850401 3.13130461 171 1.86149599 -3.13850401 172 5.16120892 1.86149599 173 5.66168736 5.16120892 174 2.98159167 5.66168736 175 -5.04831264 2.98159167 176 -3.46831264 -5.04831264 177 -1.21831264 -3.46831264 178 1.98130461 -1.21831264 179 -8.31831264 1.98130461 180 -8.06850401 -8.31831264 181 3.63140030 -8.06850401 182 -1.17831264 3.63140030 183 -2.07831264 -1.17831264 184 -7.21831264 -2.07831264 185 -1.81850401 -7.21831264 186 -3.59869539 -1.81850401 187 -0.17840833 -3.59869539 188 2.79168736 -0.17840833 189 -1.75850401 2.79168736 190 -2.70027897 -1.75850401 191 -8.69840833 -2.70027897 192 -3.18831264 -8.69840833 193 -0.72859970 -3.18831264 194 0.87140030 -0.72859970 195 5.04159167 0.87140030 196 4.33168736 5.04159167 197 -4.13869539 4.33168736 198 5.23140030 -4.13869539 199 3.65140030 5.23140030 200 -2.71831264 3.65140030 201 -2.81850401 -2.71831264 202 5.35168736 -2.81850401 203 -0.59840833 5.35168736 204 4.65130461 -0.59840833 205 1.23149599 4.65130461 206 -0.41859970 1.23149599 207 0.17168736 -0.41859970 208 -0.51850401 0.17168736 209 -2.73831264 -0.51850401 210 -3.07831264 -2.73831264 211 7.88159167 -3.07831264 212 0.91168736 7.88159167 213 -2.45850401 0.91168736 214 0.04168736 -2.45850401 215 -1.70879108 0.04168736 216 -3.81831264 -1.70879108 217 3.02130461 -3.81831264 218 1.00159167 3.02130461 219 -4.68831264 1.00159167 220 -6.48840833 -4.68831264 221 0.32111323 -6.48840833 222 -3.95831264 0.32111323 223 -6.92840833 -3.95831264 224 -3.15859970 -6.92840833 225 12.43168736 -3.15859970 226 -2.13840833 12.43168736 227 -3.07840833 -2.13840833 228 -6.01850401 -3.07840833 229 -4.00859970 -6.01850401 230 -1.88840833 -4.00859970 231 2.01168736 -1.88840833 232 1.16120892 2.01168736 233 -3.59850401 1.16120892 234 -0.69840833 -3.59850401 235 4.76159167 -0.69840833 236 7.85168736 4.76159167 237 0.57140030 7.85168736 238 -1.94840833 0.57140030 239 -2.15859970 -1.94840833 240 -4.60840833 -2.15859970 241 0.47168736 -4.60840833 242 1.30159167 0.47168736 243 -5.56850401 1.30159167 244 -3.61831264 -5.56850401 245 2.30159167 -3.61831264 246 -2.43850401 2.30159167 247 4.12168736 -2.43850401 248 -3.60840833 4.12168736 249 -6.83831264 -3.60840833 250 -3.95859970 -6.83831264 251 0.98159167 -3.95859970 252 -1.91831264 0.98159167 253 2.71159167 -1.91831264 254 8.01168736 2.71159167 255 0.19168736 8.01168736 256 1.77159167 0.19168736 257 -3.31850401 1.77159167 258 0.83130461 -3.31850401 259 0.84149599 0.83130461 260 0.21159167 0.84149599 261 -5.51831264 0.21159167 262 3.95168736 -5.51831264 263 -0.23859970 3.95168736 264 4.26159167 -0.23859970 265 5.78149599 4.26159167 266 -5.25831264 5.78149599 267 -0.94850401 -5.25831264 268 -0.36850401 -0.94850401 269 0.33130461 -0.36850401 270 3.65168736 0.33130461 271 4.85168736 3.65168736 272 1.53159167 4.85168736 273 -1.10840833 1.53159167 274 -5.82831264 -1.10840833 275 -2.03859970 -5.82831264 276 1.63149599 -2.03859970 277 4.24130461 1.63149599 278 -2.55831264 4.24130461 279 -1.46869539 -2.55831264 280 0.30149599 -1.46869539 281 -0.39859970 0.30149599 282 2.95159167 -0.39859970 283 3.94149599 2.95159167 284 -1.35840833 3.94149599 285 1.45120892 -1.35840833 286 1.28159167 1.45120892 287 0.08130461 1.28159167 288 -4.46840833 0.08130461 289 5.63149599 -4.46840833 290 5.92149599 5.63149599 291 0.49168736 5.92149599 292 -8.46831264 0.49168736 293 -5.80840833 -8.46831264 294 3.60168736 -5.80840833 295 -0.47859970 3.60168736 296 -2.05840833 -0.47859970 297 -5.68831264 -2.05840833 298 -2.68879108 -5.68831264 299 -3.11859970 -2.68879108 300 -1.45850401 -3.11859970 301 2.50168736 -1.45850401 302 -5.47840833 2.50168736 303 -0.66859970 -5.47840833 304 -1.89840833 -0.66859970 305 3.99149599 -1.89840833 306 6.09130461 3.99149599 307 1.23159167 6.09130461 308 -4.76850401 1.23159167 309 -0.19812126 -4.76850401 310 -3.42821695 -0.19812126 311 -2.21783419 -3.42821695 312 -7.33812126 -2.21783419 313 5.66187874 -7.33812126 314 -0.78802557 5.66187874 315 -8.59821695 -0.78802557 316 -3.79812126 -8.59821695 317 -0.28821695 -3.79812126 318 1.38216581 -0.28821695 319 9.66207012 1.38216581 320 12.39216581 9.66207012 321 14.13197443 12.39216581 322 -2.95802557 14.13197443 323 4.95178305 -2.95802557 324 4.46207012 4.95178305 325 -1.09821695 4.46207012 326 7.50187874 -1.09821695 327 -1.89821695 7.50187874 328 -2.38812126 -1.89821695 329 5.32178305 -2.38812126 330 1.79207012 5.32178305 331 -11.51980052 1.79207012 332 3.18187874 -11.51980052 333 4.40178305 3.18187874 334 5.86187874 4.40178305 335 -2.22792988 5.86187874 336 -1.50821695 -2.22792988 337 -3.78821695 -1.50821695 338 -2.47802557 -3.78821695 339 -4.24821695 -2.47802557 340 -7.33821695 -4.24821695 341 -0.24821695 -7.33821695 342 0.53187874 -0.24821695 343 11.03187874 0.53187874 344 -5.17812126 11.03187874 345 5.80178305 -5.17812126 346 -1.41812126 5.80178305 347 1.07187874 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568 0.99178305 8.62207012 569 2.04197443 0.99178305 570 4.19178305 2.04197443 571 -8.38792988 4.19178305 572 -3.14802557 -8.38792988 573 5.81981672 -3.14802557 574 -2.01802557 5.81981672 575 -1.02821695 -2.01802557 576 -5.16812126 -1.02821695 577 -6.37802557 -5.16812126 578 12.26187874 -6.37802557 579 -1.35802557 12.26187874 580 4.61178305 -1.35802557 581 2.07207012 4.61178305 582 0.85197443 2.07207012 583 3.76187874 0.85197443 584 -2.44812126 3.76187874 585 -0.81812126 -2.44812126 586 -7.63812126 -0.81812126 587 10.66197443 -7.63812126 588 -6.05783419 10.66197443 589 4.30991241 -6.05783419 590 -3.41812126 4.30991241 591 -0.54802557 -3.41812126 592 2.03216581 -0.54802557 593 6.49991241 2.03216581 594 -0.02989621 6.49991241 595 -4.45812126 -0.02989621 596 -2.79821695 -4.45812126 597 -2.28792988 -2.79821695 598 -5.57802557 -2.28792988 599 4.14991241 -5.57802557 600 8.90010379 4.14991241 601 13.75019948 8.90010379 602 -5.70821695 13.75019948 603 3.79991241 -5.70821695 604 -1.18812126 3.79991241 605 4.48226150 -1.18812126 606 8.85029517 4.48226150 607 -16.28745143 8.85029517 608 3.34264426 -16.28745143 609 -10.33932207 3.34264426 610 -1.65960914 -10.33932207 611 1.27245288 -1.65960914 612 4.43226150 1.27245288 613 6.64226150 4.43226150 614 -12.00773850 6.64226150 615 -9.41970483 -12.00773850 616 -14.22970483 -9.41970483 617 -12.07932207 -14.22970483 618 -14.52745143 -12.07932207 619 -6.81764281 -14.52745143 620 -10.04951345 -6.81764281 621 -9.50960914 -10.04951345 622 -6.16970483 -9.50960914 623 19.57226150 -6.16970483 624 1.49226150 19.57226150 625 -3.14745143 1.49226150 626 4.22245288 -3.14745143 627 -1.04773850 4.22245288 628 -6.80951345 -1.04773850 629 -8.01754712 -6.80951345 630 -3.94764281 -8.01754712 631 13.31245288 -3.94764281 632 -4.98970483 13.31245288 633 -2.90970483 -4.98970483 634 -12.45960914 -2.90970483 635 -4.23764281 -12.45960914 636 1.78029517 -4.23764281 637 -2.33941776 1.78029517 638 -9.48773850 -2.33941776 639 2.16039086 -9.48773850 640 -3.41754712 2.16039086 641 2.30235719 -3.41754712 642 -10.87764281 2.30235719 643 -13.56970483 -10.87764281 644 0.84058224 -13.56970483 645 -13.42970483 0.84058224 646 4.35235719 -13.42970483 647 13.36245288 4.35235719 648 10.18039086 13.36245288 649 4.16039086 10.18039086 650 1.06029517 4.16039086 651 -16.81745143 1.06029517 652 -10.58960914 -16.81745143 653 -6.24773850 -10.58960914 > plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals') > lines(lowess(z)) > abline(lm(z)) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/7ca0b1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/8ca0b1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/freestat/rcomp/tmp/9ca0b1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) > plot(mylm, las = 1, sub='Residual Diagnostics') > par(opar) > dev.off() null device 1 > if (n > n25) { + postscript(file="/var/www/html/freestat/rcomp/tmp/10iyaq1292683540.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') + grid() + dev.off() + } null device 1 > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) > a<-table.row.end(a) > myeq <- colnames(x)[1] > myeq <- paste(myeq, '[t] = ', sep='') > for (i in 1:k){ + if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '') + myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ') + if (rownames(mysum$coefficients)[i] != '(Intercept)') { + myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='') + if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='') + } + } > myeq <- paste(myeq, ' + e[t]') > a<-table.row.start(a) > a<-table.element(a, myeq) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/freestat/rcomp/tmp/11lhqe1292683540.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',header=TRUE) > a<-table.element(a,'Parameter',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE) > a<-table.element(a,'2-tail p-value',header=TRUE) > a<-table.element(a,'1-tail p-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:k){ + a<-table.row.start(a) + a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE) + a<-table.element(a,mysum$coefficients[i,1]) + a<-table.element(a, round(mysum$coefficients[i,2],6)) + a<-table.element(a, round(mysum$coefficients[i,3],4)) + a<-table.element(a, round(mysum$coefficients[i,4],6)) + a<-table.element(a, round(mysum$coefficients[i,4]/2,6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/freestat/rcomp/tmp/12pzpk1292683540.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple R',1,TRUE) > a<-table.element(a, sqrt(mysum$r.squared)) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'R-squared',1,TRUE) > a<-table.element(a, mysum$r.squared) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Adjusted R-squared',1,TRUE) > a<-table.element(a, mysum$adj.r.squared) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (value)',1,TRUE) > a<-table.element(a, mysum$fstatistic[1]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE) > a<-table.element(a, mysum$fstatistic[2]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE) > a<-table.element(a, mysum$fstatistic[3]) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'p-value',1,TRUE) > a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3])) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Residual Standard Deviation',1,TRUE) > a<-table.element(a, mysum$sigma) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Sum Squared Residuals',1,TRUE) > a<-table.element(a, sum(myerror*myerror)) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/freestat/rcomp/tmp/13lr5a1292683540.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Time or Index', 1, TRUE) > a<-table.element(a, 'Actuals', 1, TRUE) > a<-table.element(a, 'Interpolation
Forecast', 1, TRUE) > a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE) > a<-table.row.end(a) > for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,i, 1, TRUE) + a<-table.element(a,x[i]) + a<-table.element(a,x[i]-mysum$resid[i]) + a<-table.element(a,mysum$resid[i]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/freestat/rcomp/tmp/1469lg1292683540.tab") > if (n > n25) { + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'p-values',header=TRUE) + a<-table.element(a,'Alternative Hypothesis',3,header=TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'breakpoint index',header=TRUE) + a<-table.element(a,'greater',header=TRUE) + a<-table.element(a,'2-sided',header=TRUE) + a<-table.element(a,'less',header=TRUE) + a<-table.row.end(a) + for (mypoint in kp3:nmkm3) { + a<-table.row.start(a) + a<-table.element(a,mypoint,header=TRUE) + a<-table.element(a,gqarr[mypoint-kp3+1,1]) + a<-table.element(a,gqarr[mypoint-kp3+1,2]) + a<-table.element(a,gqarr[mypoint-kp3+1,3]) + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/www/html/freestat/rcomp/tmp/159a141292683540.tab") + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'Description',header=TRUE) + a<-table.element(a,'# significant tests',header=TRUE) + a<-table.element(a,'% significant tests',header=TRUE) + a<-table.element(a,'OK/NOK',header=TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'1% type I error level',header=TRUE) + a<-table.element(a,numsignificant1) + a<-table.element(a,numsignificant1/numgqtests) + if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'5% type I error level',header=TRUE) + a<-table.element(a,numsignificant5) + a<-table.element(a,numsignificant5/numgqtests) + if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'10% type I error level',header=TRUE) + a<-table.element(a,numsignificant10) + a<-table.element(a,numsignificant10/numgqtests) + if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK' + a<-table.element(a,dum) + a<-table.row.end(a) + a<-table.end(a) + table.save(a,file="/var/www/html/freestat/rcomp/tmp/16daia1292683540.tab") + } > > try(system("convert tmp/1tfvw1292683540.ps tmp/1tfvw1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/2tfvw1292683540.ps tmp/2tfvw1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/346cz1292683540.ps tmp/346cz1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/446cz1292683540.ps tmp/446cz1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/546cz1292683540.ps tmp/546cz1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/6110q1292683540.ps tmp/6110q1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/7ca0b1292683540.ps tmp/7ca0b1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/8ca0b1292683540.ps tmp/8ca0b1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/9ca0b1292683540.ps tmp/9ca0b1292683540.png",intern=TRUE)) character(0) > try(system("convert tmp/10iyaq1292683540.ps tmp/10iyaq1292683540.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 22.757 3.589 23.614