R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i686-pc-linux-gnu (32-bit) 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. 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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,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,1 + ,0 + ,0) + ,dim=c(23 + ,521) + ,dimnames=list(c('y' + ,'c2' + ,'scha05' + ,'sch06' + ,'sch31' + ,'sch00' + ,'sch53' + ,'sch16' + ,'sch41' + ,'sch17' + ,'sch40' + ,'sch10' + ,'sch01' + ,'hak3' + ,'hak5' + ,'hak0' + ,'hak6' + ,'hak8' + ,'hak7' + ,'hak4' + ,'type0' + ,'type1' + ,'type3') + ,1:521)) > y <- array(NA,dim=c(23,521),dimnames=list(c('y','c2','scha05','sch06','sch31','sch00','sch53','sch16','sch41','sch17','sch40','sch10','sch01','hak3','hak5','hak0','hak6','hak8','hak7','hak4','type0','type1','type3'),1:521)) > 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 = '1' > library(lattice) > library(lmtest) Loading required package: zoo Attaching package: 'zoo' The following object(s) are masked from 'package:base': as.Date, 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 y c2 scha05 sch06 sch31 sch00 sch53 sch16 sch41 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0 393 0 0 0 1 0 0 0 1 0 0 394 0 1 0 0 0 0 0 1 0 0 395 0 1 0 0 0 0 0 1 0 0 396 0 1 0 0 0 0 0 1 0 0 397 0 0 0 1 0 0 0 1 0 0 398 0 0 0 0 0 0 0 1 0 0 399 0 0 0 0 0 0 0 1 0 0 400 0 1 0 0 0 0 0 1 0 0 401 0 0 0 0 0 0 0 1 0 0 402 0 0 0 0 0 0 0 1 0 0 403 0 0 0 1 0 0 0 0 0 1 404 0 1 0 0 0 0 0 1 0 0 405 0 1 0 0 0 0 0 1 0 0 406 0 0 0 1 0 0 0 0 0 1 407 0 0 0 1 0 0 0 0 0 1 408 0 0 0 1 0 0 0 0 0 1 409 0 0 0 1 0 0 0 0 0 1 410 0 0 1 0 0 0 0 1 0 0 411 0 0 0 0 0 0 0 0 0 1 412 0 0 0 0 0 0 0 0 0 1 413 0 1 0 0 0 0 0 1 0 0 414 0 1 0 0 0 0 0 1 0 0 415 0 0 0 0 0 0 0 0 0 1 416 0 0 0 0 0 0 0 0 0 1 417 0 1 0 0 0 0 0 1 0 0 418 0 1 0 0 0 0 0 1 0 0 419 0 1 0 0 0 0 0 1 0 0 420 0 1 0 0 0 0 0 1 0 0 421 0 1 0 0 0 0 0 1 0 0 422 0 1 0 0 0 0 0 1 0 0 423 0 0 0 0 0 0 1 1 0 0 424 1 0 0 0 0 0 0 0 1 0 425 0 1 0 0 0 0 0 1 0 0 426 0 0 0 0 0 0 1 1 0 0 427 0 1 0 0 0 0 0 1 0 0 428 0 0 0 0 0 0 1 1 0 0 429 0 0 0 0 0 0 1 1 0 0 430 0 0 0 0 0 1 0 0 0 1 431 0 0 0 0 0 0 1 1 0 0 432 0 1 0 0 0 0 0 1 0 0 433 0 0 0 1 0 0 0 0 1 0 434 0 1 0 0 0 0 0 1 0 0 435 1 0 0 0 0 0 0 1 0 0 436 0 1 0 0 0 0 0 1 0 0 437 1 0 0 0 0 0 0 1 0 0 438 1 0 0 0 0 0 0 1 0 0 439 0 0 0 1 0 0 0 1 0 0 440 0 0 0 1 0 0 0 0 1 0 441 0 0 0 0 0 1 0 0 0 1 442 0 0 0 0 0 1 0 0 0 1 443 0 0 0 0 1 0 0 1 0 0 444 0 0 0 0 0 0 0 1 0 0 445 0 0 0 1 0 0 0 0 1 0 446 0 0 0 1 0 0 0 0 0 1 447 0 1 0 0 0 0 0 1 0 0 448 0 1 0 0 0 0 0 1 0 0 449 1 0 0 0 0 0 0 1 0 0 450 0 1 0 0 0 0 0 1 0 0 451 0 0 0 1 0 0 0 0 1 0 452 0 0 0 0 0 1 0 0 0 1 453 0 0 0 1 0 0 0 1 0 0 454 0 1 0 0 0 0 0 1 0 0 455 0 0 0 1 0 0 0 1 0 0 456 0 0 0 0 0 0 1 1 0 0 457 0 0 0 1 0 0 0 1 0 0 458 0 0 0 0 0 1 0 1 0 0 459 1 0 0 0 0 0 0 0 1 0 460 0 1 0 0 0 0 0 1 0 0 461 0 0 0 0 0 1 0 0 0 1 462 0 0 0 1 0 0 0 1 0 0 463 0 0 0 0 0 0 1 1 0 0 464 0 0 0 0 0 0 1 1 0 0 465 0 0 0 1 0 0 0 0 1 0 466 0 0 0 1 0 0 0 0 0 1 467 0 0 0 1 0 0 0 1 0 0 468 1 0 0 0 0 0 0 1 0 0 469 1 0 0 0 0 0 0 1 0 0 470 0 0 0 0 0 0 1 1 0 0 471 0 0 0 0 0 0 0 1 0 0 472 0 1 0 0 0 0 0 1 0 0 473 0 1 0 0 0 0 0 1 0 0 474 0 0 0 0 1 0 0 1 0 0 475 0 1 0 0 0 0 0 1 0 0 476 0 1 0 0 0 0 0 1 0 0 477 0 0 0 0 0 0 1 1 0 0 478 0 0 0 1 0 0 0 1 0 0 479 0 1 0 0 0 0 0 1 0 0 480 0 1 0 0 0 0 0 1 0 0 481 0 0 0 0 0 1 0 0 0 1 482 0 0 0 0 0 0 1 1 0 0 483 0 0 0 0 0 0 0 1 0 0 484 0 1 0 0 0 0 0 1 0 0 485 0 0 0 1 0 0 0 0 1 0 486 0 0 0 0 0 0 1 1 0 0 487 0 0 0 0 0 0 1 1 0 0 488 0 1 0 0 0 0 0 1 0 0 489 0 1 0 0 0 0 0 1 0 0 490 0 0 0 0 0 0 1 1 0 0 491 1 0 0 0 0 0 0 1 0 0 492 0 1 0 0 0 0 0 1 0 0 493 0 1 0 0 0 0 0 1 0 0 494 0 1 0 0 0 0 0 1 0 0 495 0 0 0 1 0 0 0 1 0 0 496 0 0 0 1 0 0 0 0 0 1 497 0 0 0 1 0 0 0 0 1 0 498 0 0 0 0 0 0 1 1 0 0 499 0 0 0 0 0 0 1 1 0 0 500 0 1 0 0 0 0 0 0 1 0 501 0 1 0 0 0 0 0 1 0 0 502 0 1 0 0 0 0 0 1 0 0 503 0 1 0 0 0 0 0 1 0 0 504 0 0 0 1 0 0 0 1 0 0 505 0 1 0 0 0 0 0 1 0 0 506 0 0 0 0 0 1 0 0 0 1 507 0 1 0 0 0 0 0 1 0 0 508 0 1 0 0 0 0 0 1 0 0 509 0 0 0 0 0 0 1 1 0 0 510 0 1 0 0 0 0 0 1 0 0 511 0 1 0 0 0 0 0 1 0 0 512 0 0 0 0 0 0 1 1 0 0 513 0 0 0 0 0 0 0 1 0 0 514 0 0 0 0 0 0 0 1 0 0 515 0 0 0 0 0 0 0 1 0 0 516 0 0 0 0 0 0 0 1 0 0 517 0 0 0 0 1 0 0 0 0 1 518 0 0 0 0 1 0 0 0 0 1 519 0 0 0 0 1 0 0 0 0 1 520 0 0 0 0 1 0 0 0 0 1 521 0 0 0 0 0 0 0 1 0 0 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) c2 scha05 sch06 sch31 sch00 16.30861 1.35805 -1.40227 0.38365 1.35454 3.21474 sch53 sch16 sch41 sch17 sch40 sch10 0.86151 -1.30791 -0.08346 0.49249 3.43057 -1.79357 sch01 hak3 hak5 hak0 hak6 hak8 -1.01436 2.01008 0.71353 -0.54748 0.76131 -2.00790 hak7 hak4 type0 type1 type3 -0.41459 0.27616 -11.49264 -12.90756 -12.46843 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -9.1023 -3.3085 -0.6667 2.6579 24.6012 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 16.30861 1.50469 10.839 < 2e-16 *** c2 1.35805 0.69365 1.958 0.05081 . scha05 -1.40227 1.24348 -1.128 0.25999 sch06 0.38365 1.01276 0.379 0.70499 sch31 1.35454 1.18499 1.143 0.25355 sch00 3.21474 0.97871 3.285 0.00109 ** sch53 0.86151 1.16036 0.742 0.45816 sch16 -1.30791 1.92429 -0.680 0.49702 sch41 -0.08346 0.75354 -0.111 0.91186 sch17 0.49249 1.45444 0.339 0.73505 sch40 3.43057 0.75197 4.562 6.38e-06 *** sch10 -1.79357 1.06290 -1.687 0.09215 . sch01 -1.01436 0.91095 -1.114 0.26602 hak3 2.01008 0.94009 2.138 0.03299 * hak5 0.71353 0.70287 1.015 0.31052 hak0 -0.54748 1.26644 -0.432 0.66571 hak6 0.76131 0.79154 0.962 0.33661 hak8 -2.00790 1.04253 -1.926 0.05467 . hak7 -0.41459 0.73717 -0.562 0.57409 hak4 0.27616 0.89024 0.310 0.75653 type0 -11.49264 1.62376 -7.078 5.00e-12 *** type1 -12.90756 1.59871 -8.074 5.16e-15 *** type3 -12.46843 1.78664 -6.979 9.55e-12 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 4.626 on 498 degrees of freedom Multiple R-squared: 0.2729, Adjusted R-squared: 0.2408 F-statistic: 8.498 on 22 and 498 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,] 2.855704e-01 5.711408e-01 0.714429590 [2,] 1.508870e-01 3.017741e-01 0.849112972 [3,] 7.273369e-02 1.454674e-01 0.927266308 [4,] 3.333758e-02 6.667516e-02 0.966662422 [5,] 1.400562e-02 2.801125e-02 0.985994375 [6,] 5.702719e-03 1.140544e-02 0.994297281 [7,] 2.243749e-03 4.487499e-03 0.997756251 [8,] 8.087672e-04 1.617534e-03 0.999191233 [9,] 1.931847e-03 3.863695e-03 0.998068153 [10,] 8.417721e-04 1.683544e-03 0.999158228 [11,] 3.352194e-04 6.704387e-04 0.999664781 [12,] 1.315709e-04 2.631418e-04 0.999868429 [13,] 6.297253e-05 1.259451e-04 0.999937027 [14,] 3.474310e-05 6.948620e-05 0.999965257 [15,] 2.275277e-05 4.550553e-05 0.999977247 [16,] 9.025683e-06 1.805137e-05 0.999990974 [17,] 3.767738e-06 7.535477e-06 0.999996232 [18,] 1.333683e-06 2.667365e-06 0.999998666 [19,] 4.612259e-07 9.224518e-07 0.999999539 [20,] 1.558681e-07 3.117362e-07 0.999999844 [21,] 1.469032e-05 2.938064e-05 0.999985310 [22,] 6.568107e-06 1.313621e-05 0.999993432 [23,] 2.971094e-06 5.942188e-06 0.999997029 [24,] 1.266748e-06 2.533496e-06 0.999998733 [25,] 5.281441e-07 1.056288e-06 0.999999472 [26,] 3.432650e-07 6.865300e-07 0.999999657 [27,] 6.362815e-06 1.272563e-05 0.999993637 [28,] 5.117542e-06 1.023508e-05 0.999994882 [29,] 2.414443e-06 4.828886e-06 0.999997586 [30,] 9.127693e-06 1.825539e-05 0.999990872 [31,] 8.695772e-05 1.739154e-04 0.999913042 [32,] 1.760883e-04 3.521766e-04 0.999823912 [33,] 1.050564e-04 2.101128e-04 0.999894944 [34,] 6.377706e-05 1.275541e-04 0.999936223 [35,] 3.557566e-05 7.115132e-05 0.999964424 [36,] 2.069559e-05 4.139119e-05 0.999979304 [37,] 1.345767e-05 2.691534e-05 0.999986542 [38,] 7.821830e-06 1.564366e-05 0.999992178 [39,] 4.353275e-06 8.706550e-06 0.999995647 [40,] 3.164468e-06 6.328935e-06 0.999996836 [41,] 7.130949e-06 1.426190e-05 0.999992869 [42,] 3.999568e-06 7.999136e-06 0.999996000 [43,] 2.605417e-06 5.210834e-06 0.999997395 [44,] 1.408843e-06 2.817687e-06 0.999998591 [45,] 9.391059e-07 1.878212e-06 0.999999061 [46,] 8.979393e-07 1.795879e-06 0.999999102 [47,] 4.946524e-07 9.893047e-07 0.999999505 [48,] 2.834677e-07 5.669354e-07 0.999999717 [49,] 1.638076e-07 3.276153e-07 0.999999836 [50,] 1.285803e-07 2.571607e-07 0.999999871 [51,] 2.067476e-07 4.134951e-07 0.999999793 [52,] 1.192941e-07 2.385882e-07 0.999999881 [53,] 7.023751e-08 1.404750e-07 0.999999930 [54,] 4.193118e-08 8.386236e-08 0.999999958 [55,] 2.171767e-07 4.343534e-07 0.999999783 [56,] 1.935499e-06 3.870998e-06 0.999998065 [57,] 9.500578e-02 1.900116e-01 0.904994222 [58,] 1.384411e-01 2.768821e-01 0.861558931 [59,] 1.210403e-01 2.420805e-01 0.878959746 [60,] 1.422162e-01 2.844323e-01 0.857783830 [61,] 1.247826e-01 2.495652e-01 0.875217381 [62,] 1.519315e-01 3.038630e-01 0.848068475 [63,] 1.329890e-01 2.659780e-01 0.867011013 [64,] 1.626890e-01 3.253781e-01 0.837310973 [65,] 1.438314e-01 2.876628e-01 0.856168582 [66,] 1.240435e-01 2.480871e-01 0.875956468 [67,] 1.886264e-01 3.772529e-01 0.811373568 [68,] 1.660061e-01 3.320122e-01 0.833993876 [69,] 1.503328e-01 3.006657e-01 0.849667174 [70,] 1.469846e-01 2.939692e-01 0.853015386 [71,] 1.317206e-01 2.634412e-01 0.868279415 [72,] 1.186857e-01 2.373713e-01 0.881314326 [73,] 1.098341e-01 2.196681e-01 0.890165935 [74,] 9.623919e-02 1.924784e-01 0.903760812 [75,] 9.341653e-02 1.868331e-01 0.906583466 [76,] 8.039679e-02 1.607936e-01 0.919603212 [77,] 1.285756e-01 2.571511e-01 0.871424441 [78,] 1.587939e-01 3.175877e-01 0.841206149 [79,] 1.387427e-01 2.774855e-01 0.861257257 [80,] 1.259012e-01 2.518025e-01 0.874098752 [81,] 1.250433e-01 2.500867e-01 0.874956671 [82,] 1.171313e-01 2.342626e-01 0.882868716 [83,] 1.298087e-01 2.596175e-01 0.870191255 [84,] 1.198714e-01 2.397428e-01 0.880128597 [85,] 1.216816e-01 2.433631e-01 0.878318432 [86,] 1.103426e-01 2.206852e-01 0.889657413 [87,] 9.780768e-02 1.956154e-01 0.902192319 [88,] 8.866216e-02 1.773243e-01 0.911337836 [89,] 7.834547e-02 1.566909e-01 0.921654531 [90,] 7.259545e-02 1.451909e-01 0.927404550 [91,] 6.959508e-02 1.391902e-01 0.930404918 [92,] 6.627859e-02 1.325572e-01 0.933721408 [93,] 5.642533e-02 1.128507e-01 0.943574670 [94,] 4.773310e-02 9.546621e-02 0.952266897 [95,] 4.016503e-02 8.033007e-02 0.959834965 [96,] 3.422031e-02 6.844062e-02 0.965779690 [97,] 2.977716e-02 5.955433e-02 0.970222837 [98,] 2.492287e-02 4.984574e-02 0.975077132 [99,] 2.070907e-02 4.141813e-02 0.979290934 [100,] 1.721775e-02 3.443551e-02 0.982782247 [101,] 1.402972e-02 2.805944e-02 0.985970280 [102,] 1.159731e-02 2.319462e-02 0.988402692 [103,] 9.405157e-03 1.881031e-02 0.990594843 [104,] 7.586977e-03 1.517395e-02 0.992413023 [105,] 6.195602e-03 1.239120e-02 0.993804398 [106,] 4.935411e-03 9.870822e-03 0.995064589 [107,] 3.945625e-03 7.891250e-03 0.996054375 [108,] 4.590961e-03 9.181922e-03 0.995409039 [109,] 4.607037e-03 9.214075e-03 0.995392963 [110,] 4.956181e-03 9.912362e-03 0.995043819 [111,] 4.708432e-03 9.416864e-03 0.995291568 [112,] 5.091089e-03 1.018218e-02 0.994908911 [113,] 4.388753e-03 8.777505e-03 0.995611247 [114,] 4.033719e-03 8.067437e-03 0.995966281 [115,] 3.624634e-03 7.249267e-03 0.996375366 [116,] 3.048139e-03 6.096279e-03 0.996951861 [117,] 2.446661e-03 4.893323e-03 0.997553339 [118,] 2.047252e-03 4.094504e-03 0.997952748 [119,] 3.611027e-03 7.222054e-03 0.996388973 [120,] 4.023721e-03 8.047442e-03 0.995976279 [121,] 3.983216e-03 7.966431e-03 0.996016784 [122,] 4.605405e-03 9.210810e-03 0.995394595 [123,] 3.763638e-03 7.527276e-03 0.996236362 [124,] 3.249920e-03 6.499840e-03 0.996750080 [125,] 2.611310e-03 5.222619e-03 0.997388690 [126,] 2.403417e-03 4.806833e-03 0.997596583 [127,] 1.988042e-03 3.976083e-03 0.998011958 [128,] 2.027847e-03 4.055694e-03 0.997972153 [129,] 1.368170e-02 2.736339e-02 0.986318304 [130,] 1.334357e-02 2.668715e-02 0.986656426 [131,] 1.237241e-02 2.474483e-02 0.987627586 [132,] 1.064440e-02 2.128880e-02 0.989355600 [133,] 1.147558e-02 2.295116e-02 0.988524422 [134,] 1.044469e-02 2.088939e-02 0.989555305 [135,] 1.115144e-02 2.230288e-02 0.988848561 [136,] 2.934637e-02 5.869273e-02 0.970653633 [137,] 2.565060e-02 5.130120e-02 0.974349402 [138,] 2.193667e-02 4.387333e-02 0.978063333 [139,] 2.143038e-02 4.286077e-02 0.978569615 [140,] 2.119815e-02 4.239629e-02 0.978801855 [141,] 1.922984e-02 3.845967e-02 0.980770163 [142,] 2.167554e-02 4.335108e-02 0.978324462 [143,] 1.984607e-02 3.969213e-02 0.980153933 [144,] 2.388099e-02 4.776197e-02 0.976119015 [145,] 1.766749e-01 3.533499e-01 0.823325068 [146,] 1.920486e-01 3.840973e-01 0.807951374 [147,] 1.792507e-01 3.585014e-01 0.820749300 [148,] 1.658831e-01 3.317663e-01 0.834116857 [149,] 2.270857e-01 4.541713e-01 0.772914349 [150,] 3.553732e-01 7.107464e-01 0.644626803 [151,] 3.829674e-01 7.659347e-01 0.617032629 [152,] 4.178996e-01 8.357991e-01 0.582100435 [153,] 3.939515e-01 7.879030e-01 0.606048514 [154,] 3.692763e-01 7.385525e-01 0.630723749 [155,] 4.223130e-01 8.446259e-01 0.577687037 [156,] 6.654114e-01 6.691772e-01 0.334588617 [157,] 6.440485e-01 7.119030e-01 0.355951501 [158,] 6.891482e-01 6.217036e-01 0.310851822 [159,] 6.656681e-01 6.686638e-01 0.334331901 [160,] 6.428462e-01 7.143076e-01 0.357153814 [161,] 6.404628e-01 7.190744e-01 0.359537190 [162,] 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1.084684e-01 2.169369e-01 0.891531564 [383,] 1.407050e-01 2.814100e-01 0.859294981 [384,] 1.282768e-01 2.565535e-01 0.871723246 [385,] 1.124721e-01 2.249442e-01 0.887527924 [386,] 1.052641e-01 2.105282e-01 0.894735888 [387,] 9.179682e-02 1.835936e-01 0.908203180 [388,] 8.518244e-02 1.703649e-01 0.914817556 [389,] 9.219058e-02 1.843812e-01 0.907809415 [390,] 9.384178e-02 1.876836e-01 0.906158215 [391,] 1.239265e-01 2.478531e-01 0.876073460 [392,] 1.248071e-01 2.496143e-01 0.875192860 [393,] 1.277798e-01 2.555597e-01 0.872220150 [394,] 1.337709e-01 2.675418e-01 0.866229097 [395,] 1.393450e-01 2.786900e-01 0.860655016 [396,] 1.685099e-01 3.370197e-01 0.831490129 [397,] 1.739266e-01 3.478533e-01 0.826073363 [398,] 2.030582e-01 4.061163e-01 0.796941830 [399,] 1.827059e-01 3.654117e-01 0.817294148 [400,] 1.972477e-01 3.944953e-01 0.802752336 [401,] 1.927204e-01 3.854408e-01 0.807279579 [402,] 2.125757e-01 4.251514e-01 0.787424322 [403,] 1.898959e-01 3.797917e-01 0.810104128 [404,] 2.207007e-01 4.414015e-01 0.779299273 [405,] 2.492140e-01 4.984280e-01 0.750785993 [406,] 2.265588e-01 4.531176e-01 0.773441214 [407,] 2.013998e-01 4.027995e-01 0.798600247 [408,] 1.900553e-01 3.801106e-01 0.809944707 [409,] 1.697160e-01 3.394319e-01 0.830284045 [410,] 1.497528e-01 2.995057e-01 0.850247160 [411,] 1.796232e-01 3.592463e-01 0.820376833 [412,] 2.391566e-01 4.783132e-01 0.760843386 [413,] 2.163727e-01 4.327454e-01 0.783627311 [414,] 1.912427e-01 3.824855e-01 0.808757259 [415,] 1.917262e-01 3.834524e-01 0.808273812 [416,] 1.790101e-01 3.580201e-01 0.820989927 [417,] 1.819997e-01 3.639995e-01 0.818000269 [418,] 1.609120e-01 3.218240e-01 0.839088003 [419,] 1.472700e-01 2.945400e-01 0.852730021 [420,] 1.340490e-01 2.680980e-01 0.865951013 [421,] 1.275368e-01 2.550736e-01 0.872463211 [422,] 1.083333e-01 2.166666e-01 0.891666680 [423,] 9.299015e-02 1.859803e-01 0.907009845 [424,] 8.718082e-02 1.743616e-01 0.912819176 [425,] 7.734386e-02 1.546877e-01 0.922656138 [426,] 6.535444e-02 1.307089e-01 0.934645562 [427,] 5.660027e-02 1.132005e-01 0.943399726 [428,] 6.455434e-02 1.291087e-01 0.935445665 [429,] 6.568351e-02 1.313670e-01 0.934316490 [430,] 9.055145e-02 1.811029e-01 0.909448552 [431,] 8.057182e-02 1.611436e-01 0.919428178 [432,] 7.625807e-02 1.525161e-01 0.923741928 [433,] 1.579927e-01 3.159853e-01 0.842007340 [434,] 1.617690e-01 3.235379e-01 0.838231036 [435,] 1.635242e-01 3.270484e-01 0.836475792 [436,] 1.481653e-01 2.963306e-01 0.851834712 [437,] 1.289293e-01 2.578587e-01 0.871070669 [438,] 1.107330e-01 2.214661e-01 0.889266968 [439,] 9.577227e-02 1.915445e-01 0.904227725 [440,] 9.616988e-02 1.923398e-01 0.903830120 [441,] 1.042415e-01 2.084830e-01 0.895758518 [442,] 2.945856e-01 5.891711e-01 0.705414433 [443,] 2.635565e-01 5.271129e-01 0.736443548 [444,] 2.454304e-01 4.908609e-01 0.754569560 [445,] 2.246348e-01 4.492697e-01 0.775365162 [446,] 2.591406e-01 5.182812e-01 0.740859401 [447,] 4.949003e-01 9.898005e-01 0.505099729 [448,] 5.572815e-01 8.854370e-01 0.442718522 [449,] 5.289213e-01 9.421574e-01 0.471078690 [450,] 4.687432e-01 9.374863e-01 0.531256833 [451,] 7.052259e-01 5.895483e-01 0.294774141 [452,] 7.157445e-01 5.685110e-01 0.284255488 [453,] 7.522360e-01 4.955279e-01 0.247763975 [454,] 6.966223e-01 6.067554e-01 0.303377705 [455,] 6.670309e-01 6.659382e-01 0.332969124 [456,] 6.609008e-01 6.781984e-01 0.339099224 [457,] 5.963822e-01 8.072356e-01 0.403617775 [458,] 5.228669e-01 9.542663e-01 0.477133134 [459,] 4.994210e-01 9.988420e-01 0.500578977 [460,] 4.411713e-01 8.823426e-01 0.558828706 [461,] 3.761309e-01 7.522618e-01 0.623869112 [462,] 3.093544e-01 6.187087e-01 0.690645645 [463,] 2.853860e-01 5.707720e-01 0.714613983 [464,] 2.762149e-01 5.524298e-01 0.723785088 [465,] 2.192877e-01 4.385754e-01 0.780712289 [466,] 1.517515e-01 3.035030e-01 0.848248492 [467,] 1.021325e-01 2.042650e-01 0.897867497 [468,] 8.834444e-02 1.766889e-01 0.911655563 [469,] 4.951669e-02 9.903339e-02 0.950483307 [470,] 2.349114e-02 4.698228e-02 0.976508862 > postscript(file="/var/fisher/rcomp/tmp/15ykm1356108802.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/fisher/rcomp/tmp/2cx8r1356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/3yp761356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/423j51356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/fisher/rcomp/tmp/5tgj71356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > qqnorm(mysum$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 = 521 Frequency = 1 1 2 3 4 5 6 1.21816289 2.21816289 -0.56774887 -3.12372116 -7.10229544 -1.13000338 7 8 9 10 11 12 -3.13000338 -1.96058245 0.03941755 3.03941755 -1.96058245 -0.13000338 13 14 15 16 17 18 -5.49382596 -0.74882246 4.56998769 -4.06976845 1.65786652 -3.26285127 19 20 21 22 23 24 -4.85616230 -0.03871386 -0.34213348 -7.00785477 -4.06976845 -3.49382596 25 26 27 28 29 30 -3.57728251 -3.85616230 -3.26285127 -4.31792488 -0.74882246 1.95207950 31 32 33 34 35 36 -1.65662206 -2.65662206 -0.77175849 -3.04792050 -1.04792050 -5.43582981 37 38 39 40 41 42 -5.15966779 -3.43582981 -2.43582981 -2.15966779 9.73744192 8.73744192 43 44 45 46 47 48 -1.71508260 1.21530386 -1.71508260 1.76277934 -1.23722066 -0.71508260 49 50 51 52 53 54 -3.26285127 -3.26285127 -1.26285127 7.25117754 -4.83195370 -2.26285127 55 56 57 58 59 60 0.16804630 0.99214523 3.50617404 1.26748470 -0.74882246 -2.44604485 61 62 63 64 65 66 -3.26285127 -2.72461386 -5.96007366 -4.23864267 -4.31792488 3.55395515 67 68 69 70 71 72 0.65786652 1.55395515 -1.72461386 -6.23864267 -2.73251530 1.25117754 73 74 75 76 77 78 -3.31792488 -2.97384512 -4.48528803 5.03446074 -5.53864194 -4.12372116 79 80 81 82 83 84 2.63308367 0.75790713 4.56417019 24.60115549 2.61995933 -0.45018720 85 86 87 88 89 90 -5.76918302 -3.43582981 -3.66492791 1.23081698 2.88635746 3.63308367 91 92 93 94 95 96 -2.75910441 -9.10229544 3.02438212 -4.10229544 3.25525299 -4.10229544 97 98 99 100 101 102 -1.45018720 -7.28987398 -4.27119980 5.03446074 -2.43582981 -7.39884451 103 104 105 106 107 108 1.71012602 0.16616773 0.02438212 -3.97384512 -1.36691633 -6.39884451 109 110 111 112 113 114 2.24089559 -4.39053866 2.23081698 -3.27119980 2.88635746 1.10259406 115 116 117 118 119 120 2.55395515 -2.73251530 -4.44604485 -0.02240671 0.97759329 -0.02240671 121 122 123 124 125 126 -2.44604485 -1.41370516 -1.02240671 0.97759329 -2.31792488 -0.02240671 127 128 129 130 131 132 -1.31792488 -1.81597185 -1.81597185 0.95207950 1.58108851 0.58108851 133 134 135 136 137 138 3.12680266 -6.88755473 -6.80472534 2.12680266 2.11244527 -4.10229544 139 140 141 142 143 144 2.74999287 -3.83383227 -1.80472534 -0.89195379 1.16616773 6.47049860 145 146 147 148 149 150 -7.96007366 3.55395515 4.95207950 0.34337794 -3.88755473 -1.06976845 151 152 153 154 155 156 0.89770456 1.55395515 3.50617404 14.25740608 5.25740608 -0.75672390 157 158 159 160 161 162 1.15203234 7.15203234 0.15203234 2.75345588 9.75345588 -2.96007366 163 164 165 166 167 168 -0.96007366 0.16804630 3.03992634 -3.24654412 -6.24654412 -4.83195370 169 170 171 172 173 174 3.16804630 17.03992634 -6.24654412 -3.57728251 2.69154221 7.16804630 175 176 177 178 179 180 10.16804630 5.59861857 -6.96007366 -1.83195370 -1.24654412 7.75345588 181 182 183 184 185 186 14.75345588 -2.40138143 -7.24654412 -0.83195370 1.75345588 4.75345588 187 188 189 190 191 192 2.03992634 0.25740608 11.16804630 -0.40138143 -3.24654412 15.03992634 193 194 195 196 197 198 4.55395515 4.75345588 2.16804630 2.03992634 9.59861857 -0.83195370 199 200 201 202 203 204 3.75345588 1.25740608 0.55395515 -7.24654412 -2.24654412 -0.96007366 205 206 207 208 209 210 -2.24654412 -2.40138143 11.03992634 4.75345588 9.75345588 -5.24654412 211 212 213 214 215 216 6.75345588 -1.57728251 -2.96007366 3.16804630 -1.57728251 15.75345588 217 218 219 220 221 222 -1.96007366 5.75345588 7.75345588 0.75345588 -4.30845779 -3.30845779 223 224 225 226 227 228 -3.40105107 -3.40105107 -3.41370516 -6.74259392 -2.41370516 0.88541938 229 230 231 232 233 234 -3.40105107 -4.74259392 -2.30845779 -0.11458062 -2.40105107 5.88541938 235 236 237 238 239 240 -2.40105107 -3.40105107 -6.74259392 -3.68986717 -2.53226653 -2.09213387 241 242 243 244 245 246 -4.47577893 3.25117754 -4.47577893 -1.04701972 -1.53226653 -1.04701972 247 248 249 250 251 252 -0.40105107 7.33333333 -7.66666667 1.33333333 -1.66666667 -3.66666667 253 254 255 256 257 258 -7.66666667 -5.66666667 2.33333333 4.33333333 -4.66666667 -0.66666667 259 260 261 262 263 264 16.33333333 8.73150363 0.73150363 1.73150363 -3.26849637 0.16804630 265 266 267 268 269 270 -1.09213387 0.48485600 3.68207512 1.48485600 -0.24654412 -4.85616230 271 272 273 274 275 276 -6.85616230 -2.42559003 4.03907243 -5.96092757 -3.31792488 4.61297596 277 278 279 280 281 282 1.03907243 2.99132268 -0.51803456 -2.73593625 1.18376818 3.48485600 283 284 285 286 287 288 -5.96007366 -3.96007366 -7.83195370 -2.75672390 -6.83195370 0.39218371 289 290 291 292 293 294 -2.83195370 -0.83195370 -6.83195370 -5.83195370 4.03992634 -4.96007366 295 296 297 298 299 300 -3.38702404 0.61297596 -2.38702404 -1.81169307 -3.38702404 -5.81169307 301 302 303 304 305 306 -2.38702404 -1.38702404 -3.38702404 -1.38702404 -1.74882246 2.65786652 307 308 309 310 311 312 -1.04701972 3.19076490 0.95298028 -0.74882246 -3.34213348 3.67523506 313 314 315 316 317 318 -2.04701972 -3.04701972 -3.04701972 -0.32476494 -3.80923510 -3.40105107 319 320 321 322 323 324 0.59894893 -4.40138143 -0.40105107 -4.81597185 -3.73251530 -2.40105107 325 326 327 328 329 330 -1.40105107 3.59894893 -0.40105107 -3.40105107 -1.34213348 -0.74882246 331 332 333 334 335 336 0.25117754 1.57440997 -2.03206337 -0.51803456 -2.34213348 -1.51803456 337 338 339 340 341 342 -3.40105107 -3.49382596 -1.41112969 -5.83195370 -6.24654412 -0.11458062 343 344 345 346 347 348 -0.74882246 0.96128614 -0.40105107 8.59894893 -2.40105107 2.73744192 349 350 351 352 353 354 -2.53872009 -3.40105107 -4.97608762 3.56998769 1.01353935 1.25117754 355 356 357 358 359 360 2.59894893 -1.74882246 0.46127991 -3.40105107 0.01353935 4.90686285 361 362 363 364 365 366 7.09699590 3.09699590 2.97759329 -2.02240671 -2.26849637 4.73150363 367 368 369 370 371 372 -3.02240671 0.73150363 -2.02240671 -1.84796766 -3.53872009 -1.84796766 373 374 375 376 377 378 0.15203234 -1.84796766 3.46127991 -0.53872009 4.11244527 2.99214523 379 380 381 382 383 384 4.42271749 5.42271749 -0.57728251 0.47143668 0.47143668 3.82597481 385 386 387 388 389 390 -2.17402519 -2.49382596 1.75790713 2.11244527 5.42271749 3.42271749 391 392 393 394 395 396 -0.57728251 2.50617404 4.42271749 -2.27119980 0.72880020 1.75790713 397 398 399 400 401 402 1.50617404 -2.73251530 2.26748470 -3.44604485 0.26748470 0.26748470 403 404 405 406 407 408 -0.60149111 -3.52950140 -4.52950140 -1.60149111 -3.03206337 -6.03206337 409 410 411 412 413 414 0.96793663 -2.26849637 -4.22382552 -2.82582306 -2.51514400 -4.51514400 415 416 417 418 419 420 -4.22382552 -4.22382552 -5.44604485 -5.44604485 -5.44604485 -3.52950140 421 422 423 424 425 426 -4.52950140 -4.44604485 -5.43582981 -3.76918302 -3.87319734 -1.43582981 427 428 429 430 431 432 -7.10229544 -4.04792050 7.47729387 -0.64033074 3.56417019 2.11244527 433 434 435 436 437 438 -5.02386873 3.12680266 2.18830693 -5.44604485 -5.82605047 2.46135806 439 440 441 442 443 444 3.06466415 1.97613127 6.35966926 9.35966926 4.20628699 2.26748470 445 446 447 448 449 450 0.92109482 0.96793663 2.03992634 2.75790713 7.18830693 5.72880020 451 452 453 454 455 456 -5.02386873 5.35966926 6.50617404 -3.44604485 -4.93533585 5.16616773 457 458 459 460 461 462 1.42271749 -3.31792488 -5.75482563 0.55395515 7.35966926 3.06466415 463 464 465 466 467 468 4.05732686 -0.07777647 3.92109482 7.48196544 -9.00785477 4.18830693 469 470 471 472 473 474 4.46135806 5.16616773 -3.81597185 -8.74424211 3.47049860 10.20628699 475 476 477 478 479 480 0.75790713 -2.96007366 5.16616773 10.06466415 2.72880020 3.75790713 481 482 483 484 485 486 12.35966926 6.41538020 2.75345588 0.25575789 0.83763827 5.54981280 487 488 489 490 491 492 -1.83383227 -3.24209287 1.25575789 3.56417019 -1.04079118 9.48485600 493 494 495 496 497 498 13.03992634 8.25575789 6.06466415 3.48196544 -4.07890518 6.99132268 499 500 501 502 503 504 -5.43582981 -5.68737466 -4.24209287 1.75790713 1.75790713 2.99214523 505 506 507 508 509 510 5.75790713 7.35966926 -0.44604485 9.08685354 0.16616773 9.12680266 511 512 513 514 515 516 8.11244527 5.99132268 -1.02240671 -2.02240671 1.97759329 1.97759329 517 518 519 520 521 2.25117754 5.25117754 3.25117754 2.25117754 -1.02240671 > postscript(file="/var/fisher/rcomp/tmp/6ek7i1356108802.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 = 521 Frequency = 1 lag(myerror, k = 1) myerror 0 1.21816289 NA 1 2.21816289 1.21816289 2 -0.56774887 2.21816289 3 -3.12372116 -0.56774887 4 -7.10229544 -3.12372116 5 -1.13000338 -7.10229544 6 -3.13000338 -1.13000338 7 -1.96058245 -3.13000338 8 0.03941755 -1.96058245 9 3.03941755 0.03941755 10 -1.96058245 3.03941755 11 -0.13000338 -1.96058245 12 -5.49382596 -0.13000338 13 -0.74882246 -5.49382596 14 4.56998769 -0.74882246 15 -4.06976845 4.56998769 16 1.65786652 -4.06976845 17 -3.26285127 1.65786652 18 -4.85616230 -3.26285127 19 -0.03871386 -4.85616230 20 -0.34213348 -0.03871386 21 -7.00785477 -0.34213348 22 -4.06976845 -7.00785477 23 -3.49382596 -4.06976845 24 -3.57728251 -3.49382596 25 -3.85616230 -3.57728251 26 -3.26285127 -3.85616230 27 -4.31792488 -3.26285127 28 -0.74882246 -4.31792488 29 1.95207950 -0.74882246 30 -1.65662206 1.95207950 31 -2.65662206 -1.65662206 32 -0.77175849 -2.65662206 33 -3.04792050 -0.77175849 34 -1.04792050 -3.04792050 35 -5.43582981 -1.04792050 36 -5.15966779 -5.43582981 37 -3.43582981 -5.15966779 38 -2.43582981 -3.43582981 39 -2.15966779 -2.43582981 40 9.73744192 -2.15966779 41 8.73744192 9.73744192 42 -1.71508260 8.73744192 43 1.21530386 -1.71508260 44 -1.71508260 1.21530386 45 1.76277934 -1.71508260 46 -1.23722066 1.76277934 47 -0.71508260 -1.23722066 48 -3.26285127 -0.71508260 49 -3.26285127 -3.26285127 50 -1.26285127 -3.26285127 51 7.25117754 -1.26285127 52 -4.83195370 7.25117754 53 -2.26285127 -4.83195370 54 0.16804630 -2.26285127 55 0.99214523 0.16804630 56 3.50617404 0.99214523 57 1.26748470 3.50617404 58 -0.74882246 1.26748470 59 -2.44604485 -0.74882246 60 -3.26285127 -2.44604485 61 -2.72461386 -3.26285127 62 -5.96007366 -2.72461386 63 -4.23864267 -5.96007366 64 -4.31792488 -4.23864267 65 3.55395515 -4.31792488 66 0.65786652 3.55395515 67 1.55395515 0.65786652 68 -1.72461386 1.55395515 69 -6.23864267 -1.72461386 70 -2.73251530 -6.23864267 71 1.25117754 -2.73251530 72 -3.31792488 1.25117754 73 -2.97384512 -3.31792488 74 -4.48528803 -2.97384512 75 5.03446074 -4.48528803 76 -5.53864194 5.03446074 77 -4.12372116 -5.53864194 78 2.63308367 -4.12372116 79 0.75790713 2.63308367 80 4.56417019 0.75790713 81 24.60115549 4.56417019 82 2.61995933 24.60115549 83 -0.45018720 2.61995933 84 -5.76918302 -0.45018720 85 -3.43582981 -5.76918302 86 -3.66492791 -3.43582981 87 1.23081698 -3.66492791 88 2.88635746 1.23081698 89 3.63308367 2.88635746 90 -2.75910441 3.63308367 91 -9.10229544 -2.75910441 92 3.02438212 -9.10229544 93 -4.10229544 3.02438212 94 3.25525299 -4.10229544 95 -4.10229544 3.25525299 96 -1.45018720 -4.10229544 97 -7.28987398 -1.45018720 98 -4.27119980 -7.28987398 99 5.03446074 -4.27119980 100 -2.43582981 5.03446074 101 -7.39884451 -2.43582981 102 1.71012602 -7.39884451 103 0.16616773 1.71012602 104 0.02438212 0.16616773 105 -3.97384512 0.02438212 106 -1.36691633 -3.97384512 107 -6.39884451 -1.36691633 108 2.24089559 -6.39884451 109 -4.39053866 2.24089559 110 2.23081698 -4.39053866 111 -3.27119980 2.23081698 112 2.88635746 -3.27119980 113 1.10259406 2.88635746 114 2.55395515 1.10259406 115 -2.73251530 2.55395515 116 -4.44604485 -2.73251530 117 -0.02240671 -4.44604485 118 0.97759329 -0.02240671 119 -0.02240671 0.97759329 120 -2.44604485 -0.02240671 121 -1.41370516 -2.44604485 122 -1.02240671 -1.41370516 123 0.97759329 -1.02240671 124 -2.31792488 0.97759329 125 -0.02240671 -2.31792488 126 -1.31792488 -0.02240671 127 -1.81597185 -1.31792488 128 -1.81597185 -1.81597185 129 0.95207950 -1.81597185 130 1.58108851 0.95207950 131 0.58108851 1.58108851 132 3.12680266 0.58108851 133 -6.88755473 3.12680266 134 -6.80472534 -6.88755473 135 2.12680266 -6.80472534 136 2.11244527 2.12680266 137 -4.10229544 2.11244527 138 2.74999287 -4.10229544 139 -3.83383227 2.74999287 140 -1.80472534 -3.83383227 141 -0.89195379 -1.80472534 142 1.16616773 -0.89195379 143 6.47049860 1.16616773 144 -7.96007366 6.47049860 145 3.55395515 -7.96007366 146 4.95207950 3.55395515 147 0.34337794 4.95207950 148 -3.88755473 0.34337794 149 -1.06976845 -3.88755473 150 0.89770456 -1.06976845 151 1.55395515 0.89770456 152 3.50617404 1.55395515 153 14.25740608 3.50617404 154 5.25740608 14.25740608 155 -0.75672390 5.25740608 156 1.15203234 -0.75672390 157 7.15203234 1.15203234 158 0.15203234 7.15203234 159 2.75345588 0.15203234 160 9.75345588 2.75345588 161 -2.96007366 9.75345588 162 -0.96007366 -2.96007366 163 0.16804630 -0.96007366 164 3.03992634 0.16804630 165 -3.24654412 3.03992634 166 -6.24654412 -3.24654412 167 -4.83195370 -6.24654412 168 3.16804630 -4.83195370 169 17.03992634 3.16804630 170 -6.24654412 17.03992634 171 -3.57728251 -6.24654412 172 2.69154221 -3.57728251 173 7.16804630 2.69154221 174 10.16804630 7.16804630 175 5.59861857 10.16804630 176 -6.96007366 5.59861857 177 -1.83195370 -6.96007366 178 -1.24654412 -1.83195370 179 7.75345588 -1.24654412 180 14.75345588 7.75345588 181 -2.40138143 14.75345588 182 -7.24654412 -2.40138143 183 -0.83195370 -7.24654412 184 1.75345588 -0.83195370 185 4.75345588 1.75345588 186 2.03992634 4.75345588 187 0.25740608 2.03992634 188 11.16804630 0.25740608 189 -0.40138143 11.16804630 190 -3.24654412 -0.40138143 191 15.03992634 -3.24654412 192 4.55395515 15.03992634 193 4.75345588 4.55395515 194 2.16804630 4.75345588 195 2.03992634 2.16804630 196 9.59861857 2.03992634 197 -0.83195370 9.59861857 198 3.75345588 -0.83195370 199 1.25740608 3.75345588 200 0.55395515 1.25740608 201 -7.24654412 0.55395515 202 -2.24654412 -7.24654412 203 -0.96007366 -2.24654412 204 -2.24654412 -0.96007366 205 -2.40138143 -2.24654412 206 11.03992634 -2.40138143 207 4.75345588 11.03992634 208 9.75345588 4.75345588 209 -5.24654412 9.75345588 210 6.75345588 -5.24654412 211 -1.57728251 6.75345588 212 -2.96007366 -1.57728251 213 3.16804630 -2.96007366 214 -1.57728251 3.16804630 215 15.75345588 -1.57728251 216 -1.96007366 15.75345588 217 5.75345588 -1.96007366 218 7.75345588 5.75345588 219 0.75345588 7.75345588 220 -4.30845779 0.75345588 221 -3.30845779 -4.30845779 222 -3.40105107 -3.30845779 223 -3.40105107 -3.40105107 224 -3.41370516 -3.40105107 225 -6.74259392 -3.41370516 226 -2.41370516 -6.74259392 227 0.88541938 -2.41370516 228 -3.40105107 0.88541938 229 -4.74259392 -3.40105107 230 -2.30845779 -4.74259392 231 -0.11458062 -2.30845779 232 -2.40105107 -0.11458062 233 5.88541938 -2.40105107 234 -2.40105107 5.88541938 235 -3.40105107 -2.40105107 236 -6.74259392 -3.40105107 237 -3.68986717 -6.74259392 238 -2.53226653 -3.68986717 239 -2.09213387 -2.53226653 240 -4.47577893 -2.09213387 241 3.25117754 -4.47577893 242 -4.47577893 3.25117754 243 -1.04701972 -4.47577893 244 -1.53226653 -1.04701972 245 -1.04701972 -1.53226653 246 -0.40105107 -1.04701972 247 7.33333333 -0.40105107 248 -7.66666667 7.33333333 249 1.33333333 -7.66666667 250 -1.66666667 1.33333333 251 -3.66666667 -1.66666667 252 -7.66666667 -3.66666667 253 -5.66666667 -7.66666667 254 2.33333333 -5.66666667 255 4.33333333 2.33333333 256 -4.66666667 4.33333333 257 -0.66666667 -4.66666667 258 16.33333333 -0.66666667 259 8.73150363 16.33333333 260 0.73150363 8.73150363 261 1.73150363 0.73150363 262 -3.26849637 1.73150363 263 0.16804630 -3.26849637 264 -1.09213387 0.16804630 265 0.48485600 -1.09213387 266 3.68207512 0.48485600 267 1.48485600 3.68207512 268 -0.24654412 1.48485600 269 -4.85616230 -0.24654412 270 -6.85616230 -4.85616230 271 -2.42559003 -6.85616230 272 4.03907243 -2.42559003 273 -5.96092757 4.03907243 274 -3.31792488 -5.96092757 275 4.61297596 -3.31792488 276 1.03907243 4.61297596 277 2.99132268 1.03907243 278 -0.51803456 2.99132268 279 -2.73593625 -0.51803456 280 1.18376818 -2.73593625 281 3.48485600 1.18376818 282 -5.96007366 3.48485600 283 -3.96007366 -5.96007366 284 -7.83195370 -3.96007366 285 -2.75672390 -7.83195370 286 -6.83195370 -2.75672390 287 0.39218371 -6.83195370 288 -2.83195370 0.39218371 289 -0.83195370 -2.83195370 290 -6.83195370 -0.83195370 291 -5.83195370 -6.83195370 292 4.03992634 -5.83195370 293 -4.96007366 4.03992634 294 -3.38702404 -4.96007366 295 0.61297596 -3.38702404 296 -2.38702404 0.61297596 297 -1.81169307 -2.38702404 298 -3.38702404 -1.81169307 299 -5.81169307 -3.38702404 300 -2.38702404 -5.81169307 301 -1.38702404 -2.38702404 302 -3.38702404 -1.38702404 303 -1.38702404 -3.38702404 304 -1.74882246 -1.38702404 305 2.65786652 -1.74882246 306 -1.04701972 2.65786652 307 3.19076490 -1.04701972 308 0.95298028 3.19076490 309 -0.74882246 0.95298028 310 -3.34213348 -0.74882246 311 3.67523506 -3.34213348 312 -2.04701972 3.67523506 313 -3.04701972 -2.04701972 314 -3.04701972 -3.04701972 315 -0.32476494 -3.04701972 316 -3.80923510 -0.32476494 317 -3.40105107 -3.80923510 318 0.59894893 -3.40105107 319 -4.40138143 0.59894893 320 -0.40105107 -4.40138143 321 -4.81597185 -0.40105107 322 -3.73251530 -4.81597185 323 -2.40105107 -3.73251530 324 -1.40105107 -2.40105107 325 3.59894893 -1.40105107 326 -0.40105107 3.59894893 327 -3.40105107 -0.40105107 328 -1.34213348 -3.40105107 329 -0.74882246 -1.34213348 330 0.25117754 -0.74882246 331 1.57440997 0.25117754 332 -2.03206337 1.57440997 333 -0.51803456 -2.03206337 334 -2.34213348 -0.51803456 335 -1.51803456 -2.34213348 336 -3.40105107 -1.51803456 337 -3.49382596 -3.40105107 338 -1.41112969 -3.49382596 339 -5.83195370 -1.41112969 340 -6.24654412 -5.83195370 341 -0.11458062 -6.24654412 342 -0.74882246 -0.11458062 343 0.96128614 -0.74882246 344 -0.40105107 0.96128614 345 8.59894893 -0.40105107 346 -2.40105107 8.59894893 347 2.73744192 -2.40105107 348 -2.53872009 2.73744192 349 -3.40105107 -2.53872009 350 -4.97608762 -3.40105107 351 3.56998769 -4.97608762 352 1.01353935 3.56998769 353 1.25117754 1.01353935 354 2.59894893 1.25117754 355 -1.74882246 2.59894893 356 0.46127991 -1.74882246 357 -3.40105107 0.46127991 358 0.01353935 -3.40105107 359 4.90686285 0.01353935 360 7.09699590 4.90686285 361 3.09699590 7.09699590 362 2.97759329 3.09699590 363 -2.02240671 2.97759329 364 -2.26849637 -2.02240671 365 4.73150363 -2.26849637 366 -3.02240671 4.73150363 367 0.73150363 -3.02240671 368 -2.02240671 0.73150363 369 -1.84796766 -2.02240671 370 -3.53872009 -1.84796766 371 -1.84796766 -3.53872009 372 0.15203234 -1.84796766 373 -1.84796766 0.15203234 374 3.46127991 -1.84796766 375 -0.53872009 3.46127991 376 4.11244527 -0.53872009 377 2.99214523 4.11244527 378 4.42271749 2.99214523 379 5.42271749 4.42271749 380 -0.57728251 5.42271749 381 0.47143668 -0.57728251 382 0.47143668 0.47143668 383 3.82597481 0.47143668 384 -2.17402519 3.82597481 385 -2.49382596 -2.17402519 386 1.75790713 -2.49382596 387 2.11244527 1.75790713 388 5.42271749 2.11244527 389 3.42271749 5.42271749 390 -0.57728251 3.42271749 391 2.50617404 -0.57728251 392 4.42271749 2.50617404 393 -2.27119980 4.42271749 394 0.72880020 -2.27119980 395 1.75790713 0.72880020 396 1.50617404 1.75790713 397 -2.73251530 1.50617404 398 2.26748470 -2.73251530 399 -3.44604485 2.26748470 400 0.26748470 -3.44604485 401 0.26748470 0.26748470 402 -0.60149111 0.26748470 403 -3.52950140 -0.60149111 404 -4.52950140 -3.52950140 405 -1.60149111 -4.52950140 406 -3.03206337 -1.60149111 407 -6.03206337 -3.03206337 408 0.96793663 -6.03206337 409 -2.26849637 0.96793663 410 -4.22382552 -2.26849637 411 -2.82582306 -4.22382552 412 -2.51514400 -2.82582306 413 -4.51514400 -2.51514400 414 -4.22382552 -4.51514400 415 -4.22382552 -4.22382552 416 -5.44604485 -4.22382552 417 -5.44604485 -5.44604485 418 -5.44604485 -5.44604485 419 -3.52950140 -5.44604485 420 -4.52950140 -3.52950140 421 -4.44604485 -4.52950140 422 -5.43582981 -4.44604485 423 -3.76918302 -5.43582981 424 -3.87319734 -3.76918302 425 -1.43582981 -3.87319734 426 -7.10229544 -1.43582981 427 -4.04792050 -7.10229544 428 7.47729387 -4.04792050 429 -0.64033074 7.47729387 430 3.56417019 -0.64033074 431 2.11244527 3.56417019 432 -5.02386873 2.11244527 433 3.12680266 -5.02386873 434 2.18830693 3.12680266 435 -5.44604485 2.18830693 436 -5.82605047 -5.44604485 437 2.46135806 -5.82605047 438 3.06466415 2.46135806 439 1.97613127 3.06466415 440 6.35966926 1.97613127 441 9.35966926 6.35966926 442 4.20628699 9.35966926 443 2.26748470 4.20628699 444 0.92109482 2.26748470 445 0.96793663 0.92109482 446 2.03992634 0.96793663 447 2.75790713 2.03992634 448 7.18830693 2.75790713 449 5.72880020 7.18830693 450 -5.02386873 5.72880020 451 5.35966926 -5.02386873 452 6.50617404 5.35966926 453 -3.44604485 6.50617404 454 -4.93533585 -3.44604485 455 5.16616773 -4.93533585 456 1.42271749 5.16616773 457 -3.31792488 1.42271749 458 -5.75482563 -3.31792488 459 0.55395515 -5.75482563 460 7.35966926 0.55395515 461 3.06466415 7.35966926 462 4.05732686 3.06466415 463 -0.07777647 4.05732686 464 3.92109482 -0.07777647 465 7.48196544 3.92109482 466 -9.00785477 7.48196544 467 4.18830693 -9.00785477 468 4.46135806 4.18830693 469 5.16616773 4.46135806 470 -3.81597185 5.16616773 471 -8.74424211 -3.81597185 472 3.47049860 -8.74424211 473 10.20628699 3.47049860 474 0.75790713 10.20628699 475 -2.96007366 0.75790713 476 5.16616773 -2.96007366 477 10.06466415 5.16616773 478 2.72880020 10.06466415 479 3.75790713 2.72880020 480 12.35966926 3.75790713 481 6.41538020 12.35966926 482 2.75345588 6.41538020 483 0.25575789 2.75345588 484 0.83763827 0.25575789 485 5.54981280 0.83763827 486 -1.83383227 5.54981280 487 -3.24209287 -1.83383227 488 1.25575789 -3.24209287 489 3.56417019 1.25575789 490 -1.04079118 3.56417019 491 9.48485600 -1.04079118 492 13.03992634 9.48485600 493 8.25575789 13.03992634 494 6.06466415 8.25575789 495 3.48196544 6.06466415 496 -4.07890518 3.48196544 497 6.99132268 -4.07890518 498 -5.43582981 6.99132268 499 -5.68737466 -5.43582981 500 -4.24209287 -5.68737466 501 1.75790713 -4.24209287 502 1.75790713 1.75790713 503 2.99214523 1.75790713 504 5.75790713 2.99214523 505 7.35966926 5.75790713 506 -0.44604485 7.35966926 507 9.08685354 -0.44604485 508 0.16616773 9.08685354 509 9.12680266 0.16616773 510 8.11244527 9.12680266 511 5.99132268 8.11244527 512 -1.02240671 5.99132268 513 -2.02240671 -1.02240671 514 1.97759329 -2.02240671 515 1.97759329 1.97759329 516 2.25117754 1.97759329 517 5.25117754 2.25117754 518 3.25117754 5.25117754 519 2.25117754 3.25117754 520 -1.02240671 2.25117754 521 NA -1.02240671 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] 2.21816289 1.21816289 [2,] -0.56774887 2.21816289 [3,] -3.12372116 -0.56774887 [4,] -7.10229544 -3.12372116 [5,] -1.13000338 -7.10229544 [6,] -3.13000338 -1.13000338 [7,] -1.96058245 -3.13000338 [8,] 0.03941755 -1.96058245 [9,] 3.03941755 0.03941755 [10,] -1.96058245 3.03941755 [11,] -0.13000338 -1.96058245 [12,] -5.49382596 -0.13000338 [13,] -0.74882246 -5.49382596 [14,] 4.56998769 -0.74882246 [15,] -4.06976845 4.56998769 [16,] 1.65786652 -4.06976845 [17,] -3.26285127 1.65786652 [18,] -4.85616230 -3.26285127 [19,] -0.03871386 -4.85616230 [20,] -0.34213348 -0.03871386 [21,] -7.00785477 -0.34213348 [22,] -4.06976845 -7.00785477 [23,] -3.49382596 -4.06976845 [24,] -3.57728251 -3.49382596 [25,] -3.85616230 -3.57728251 [26,] -3.26285127 -3.85616230 [27,] -4.31792488 -3.26285127 [28,] -0.74882246 -4.31792488 [29,] 1.95207950 -0.74882246 [30,] -1.65662206 1.95207950 [31,] -2.65662206 -1.65662206 [32,] -0.77175849 -2.65662206 [33,] -3.04792050 -0.77175849 [34,] -1.04792050 -3.04792050 [35,] -5.43582981 -1.04792050 [36,] -5.15966779 -5.43582981 [37,] -3.43582981 -5.15966779 [38,] -2.43582981 -3.43582981 [39,] -2.15966779 -2.43582981 [40,] 9.73744192 -2.15966779 [41,] 8.73744192 9.73744192 [42,] -1.71508260 8.73744192 [43,] 1.21530386 -1.71508260 [44,] -1.71508260 1.21530386 [45,] 1.76277934 -1.71508260 [46,] -1.23722066 1.76277934 [47,] -0.71508260 -1.23722066 [48,] -3.26285127 -0.71508260 [49,] -3.26285127 -3.26285127 [50,] -1.26285127 -3.26285127 [51,] 7.25117754 -1.26285127 [52,] -4.83195370 7.25117754 [53,] -2.26285127 -4.83195370 [54,] 0.16804630 -2.26285127 [55,] 0.99214523 0.16804630 [56,] 3.50617404 0.99214523 [57,] 1.26748470 3.50617404 [58,] -0.74882246 1.26748470 [59,] -2.44604485 -0.74882246 [60,] -3.26285127 -2.44604485 [61,] -2.72461386 -3.26285127 [62,] -5.96007366 -2.72461386 [63,] -4.23864267 -5.96007366 [64,] -4.31792488 -4.23864267 [65,] 3.55395515 -4.31792488 [66,] 0.65786652 3.55395515 [67,] 1.55395515 0.65786652 [68,] -1.72461386 1.55395515 [69,] -6.23864267 -1.72461386 [70,] -2.73251530 -6.23864267 [71,] 1.25117754 -2.73251530 [72,] -3.31792488 1.25117754 [73,] -2.97384512 -3.31792488 [74,] -4.48528803 -2.97384512 [75,] 5.03446074 -4.48528803 [76,] -5.53864194 5.03446074 [77,] -4.12372116 -5.53864194 [78,] 2.63308367 -4.12372116 [79,] 0.75790713 2.63308367 [80,] 4.56417019 0.75790713 [81,] 24.60115549 4.56417019 [82,] 2.61995933 24.60115549 [83,] -0.45018720 2.61995933 [84,] -5.76918302 -0.45018720 [85,] -3.43582981 -5.76918302 [86,] -3.66492791 -3.43582981 [87,] 1.23081698 -3.66492791 [88,] 2.88635746 1.23081698 [89,] 3.63308367 2.88635746 [90,] -2.75910441 3.63308367 [91,] -9.10229544 -2.75910441 [92,] 3.02438212 -9.10229544 [93,] -4.10229544 3.02438212 [94,] 3.25525299 -4.10229544 [95,] -4.10229544 3.25525299 [96,] -1.45018720 -4.10229544 [97,] -7.28987398 -1.45018720 [98,] -4.27119980 -7.28987398 [99,] 5.03446074 -4.27119980 [100,] -2.43582981 5.03446074 [101,] -7.39884451 -2.43582981 [102,] 1.71012602 -7.39884451 [103,] 0.16616773 1.71012602 [104,] 0.02438212 0.16616773 [105,] -3.97384512 0.02438212 [106,] -1.36691633 -3.97384512 [107,] -6.39884451 -1.36691633 [108,] 2.24089559 -6.39884451 [109,] -4.39053866 2.24089559 [110,] 2.23081698 -4.39053866 [111,] -3.27119980 2.23081698 [112,] 2.88635746 -3.27119980 [113,] 1.10259406 2.88635746 [114,] 2.55395515 1.10259406 [115,] -2.73251530 2.55395515 [116,] -4.44604485 -2.73251530 [117,] -0.02240671 -4.44604485 [118,] 0.97759329 -0.02240671 [119,] -0.02240671 0.97759329 [120,] -2.44604485 -0.02240671 [121,] -1.41370516 -2.44604485 [122,] -1.02240671 -1.41370516 [123,] 0.97759329 -1.02240671 [124,] -2.31792488 0.97759329 [125,] -0.02240671 -2.31792488 [126,] -1.31792488 -0.02240671 [127,] -1.81597185 -1.31792488 [128,] -1.81597185 -1.81597185 [129,] 0.95207950 -1.81597185 [130,] 1.58108851 0.95207950 [131,] 0.58108851 1.58108851 [132,] 3.12680266 0.58108851 [133,] -6.88755473 3.12680266 [134,] -6.80472534 -6.88755473 [135,] 2.12680266 -6.80472534 [136,] 2.11244527 2.12680266 [137,] -4.10229544 2.11244527 [138,] 2.74999287 -4.10229544 [139,] -3.83383227 2.74999287 [140,] -1.80472534 -3.83383227 [141,] -0.89195379 -1.80472534 [142,] 1.16616773 -0.89195379 [143,] 6.47049860 1.16616773 [144,] -7.96007366 6.47049860 [145,] 3.55395515 -7.96007366 [146,] 4.95207950 3.55395515 [147,] 0.34337794 4.95207950 [148,] -3.88755473 0.34337794 [149,] -1.06976845 -3.88755473 [150,] 0.89770456 -1.06976845 [151,] 1.55395515 0.89770456 [152,] 3.50617404 1.55395515 [153,] 14.25740608 3.50617404 [154,] 5.25740608 14.25740608 [155,] -0.75672390 5.25740608 [156,] 1.15203234 -0.75672390 [157,] 7.15203234 1.15203234 [158,] 0.15203234 7.15203234 [159,] 2.75345588 0.15203234 [160,] 9.75345588 2.75345588 [161,] -2.96007366 9.75345588 [162,] -0.96007366 -2.96007366 [163,] 0.16804630 -0.96007366 [164,] 3.03992634 0.16804630 [165,] -3.24654412 3.03992634 [166,] -6.24654412 -3.24654412 [167,] -4.83195370 -6.24654412 [168,] 3.16804630 -4.83195370 [169,] 17.03992634 3.16804630 [170,] -6.24654412 17.03992634 [171,] -3.57728251 -6.24654412 [172,] 2.69154221 -3.57728251 [173,] 7.16804630 2.69154221 [174,] 10.16804630 7.16804630 [175,] 5.59861857 10.16804630 [176,] -6.96007366 5.59861857 [177,] -1.83195370 -6.96007366 [178,] -1.24654412 -1.83195370 [179,] 7.75345588 -1.24654412 [180,] 14.75345588 7.75345588 [181,] -2.40138143 14.75345588 [182,] -7.24654412 -2.40138143 [183,] -0.83195370 -7.24654412 [184,] 1.75345588 -0.83195370 [185,] 4.75345588 1.75345588 [186,] 2.03992634 4.75345588 [187,] 0.25740608 2.03992634 [188,] 11.16804630 0.25740608 [189,] -0.40138143 11.16804630 [190,] -3.24654412 -0.40138143 [191,] 15.03992634 -3.24654412 [192,] 4.55395515 15.03992634 [193,] 4.75345588 4.55395515 [194,] 2.16804630 4.75345588 [195,] 2.03992634 2.16804630 [196,] 9.59861857 2.03992634 [197,] -0.83195370 9.59861857 [198,] 3.75345588 -0.83195370 [199,] 1.25740608 3.75345588 [200,] 0.55395515 1.25740608 [201,] -7.24654412 0.55395515 [202,] -2.24654412 -7.24654412 [203,] -0.96007366 -2.24654412 [204,] -2.24654412 -0.96007366 [205,] -2.40138143 -2.24654412 [206,] 11.03992634 -2.40138143 [207,] 4.75345588 11.03992634 [208,] 9.75345588 4.75345588 [209,] -5.24654412 9.75345588 [210,] 6.75345588 -5.24654412 [211,] -1.57728251 6.75345588 [212,] -2.96007366 -1.57728251 [213,] 3.16804630 -2.96007366 [214,] -1.57728251 3.16804630 [215,] 15.75345588 -1.57728251 [216,] -1.96007366 15.75345588 [217,] 5.75345588 -1.96007366 [218,] 7.75345588 5.75345588 [219,] 0.75345588 7.75345588 [220,] -4.30845779 0.75345588 [221,] -3.30845779 -4.30845779 [222,] -3.40105107 -3.30845779 [223,] -3.40105107 -3.40105107 [224,] -3.41370516 -3.40105107 [225,] -6.74259392 -3.41370516 [226,] -2.41370516 -6.74259392 [227,] 0.88541938 -2.41370516 [228,] -3.40105107 0.88541938 [229,] -4.74259392 -3.40105107 [230,] -2.30845779 -4.74259392 [231,] -0.11458062 -2.30845779 [232,] -2.40105107 -0.11458062 [233,] 5.88541938 -2.40105107 [234,] -2.40105107 5.88541938 [235,] -3.40105107 -2.40105107 [236,] -6.74259392 -3.40105107 [237,] -3.68986717 -6.74259392 [238,] -2.53226653 -3.68986717 [239,] -2.09213387 -2.53226653 [240,] -4.47577893 -2.09213387 [241,] 3.25117754 -4.47577893 [242,] -4.47577893 3.25117754 [243,] -1.04701972 -4.47577893 [244,] -1.53226653 -1.04701972 [245,] -1.04701972 -1.53226653 [246,] -0.40105107 -1.04701972 [247,] 7.33333333 -0.40105107 [248,] -7.66666667 7.33333333 [249,] 1.33333333 -7.66666667 [250,] -1.66666667 1.33333333 [251,] -3.66666667 -1.66666667 [252,] -7.66666667 -3.66666667 [253,] -5.66666667 -7.66666667 [254,] 2.33333333 -5.66666667 [255,] 4.33333333 2.33333333 [256,] -4.66666667 4.33333333 [257,] -0.66666667 -4.66666667 [258,] 16.33333333 -0.66666667 [259,] 8.73150363 16.33333333 [260,] 0.73150363 8.73150363 [261,] 1.73150363 0.73150363 [262,] -3.26849637 1.73150363 [263,] 0.16804630 -3.26849637 [264,] -1.09213387 0.16804630 [265,] 0.48485600 -1.09213387 [266,] 3.68207512 0.48485600 [267,] 1.48485600 3.68207512 [268,] -0.24654412 1.48485600 [269,] -4.85616230 -0.24654412 [270,] -6.85616230 -4.85616230 [271,] -2.42559003 -6.85616230 [272,] 4.03907243 -2.42559003 [273,] -5.96092757 4.03907243 [274,] -3.31792488 -5.96092757 [275,] 4.61297596 -3.31792488 [276,] 1.03907243 4.61297596 [277,] 2.99132268 1.03907243 [278,] -0.51803456 2.99132268 [279,] -2.73593625 -0.51803456 [280,] 1.18376818 -2.73593625 [281,] 3.48485600 1.18376818 [282,] -5.96007366 3.48485600 [283,] -3.96007366 -5.96007366 [284,] -7.83195370 -3.96007366 [285,] -2.75672390 -7.83195370 [286,] -6.83195370 -2.75672390 [287,] 0.39218371 -6.83195370 [288,] -2.83195370 0.39218371 [289,] -0.83195370 -2.83195370 [290,] -6.83195370 -0.83195370 [291,] -5.83195370 -6.83195370 [292,] 4.03992634 -5.83195370 [293,] -4.96007366 4.03992634 [294,] -3.38702404 -4.96007366 [295,] 0.61297596 -3.38702404 [296,] -2.38702404 0.61297596 [297,] -1.81169307 -2.38702404 [298,] -3.38702404 -1.81169307 [299,] -5.81169307 -3.38702404 [300,] -2.38702404 -5.81169307 [301,] -1.38702404 -2.38702404 [302,] -3.38702404 -1.38702404 [303,] -1.38702404 -3.38702404 [304,] -1.74882246 -1.38702404 [305,] 2.65786652 -1.74882246 [306,] -1.04701972 2.65786652 [307,] 3.19076490 -1.04701972 [308,] 0.95298028 3.19076490 [309,] -0.74882246 0.95298028 [310,] -3.34213348 -0.74882246 [311,] 3.67523506 -3.34213348 [312,] -2.04701972 3.67523506 [313,] -3.04701972 -2.04701972 [314,] -3.04701972 -3.04701972 [315,] -0.32476494 -3.04701972 [316,] -3.80923510 -0.32476494 [317,] -3.40105107 -3.80923510 [318,] 0.59894893 -3.40105107 [319,] -4.40138143 0.59894893 [320,] -0.40105107 -4.40138143 [321,] -4.81597185 -0.40105107 [322,] -3.73251530 -4.81597185 [323,] -2.40105107 -3.73251530 [324,] -1.40105107 -2.40105107 [325,] 3.59894893 -1.40105107 [326,] -0.40105107 3.59894893 [327,] -3.40105107 -0.40105107 [328,] -1.34213348 -3.40105107 [329,] -0.74882246 -1.34213348 [330,] 0.25117754 -0.74882246 [331,] 1.57440997 0.25117754 [332,] -2.03206337 1.57440997 [333,] -0.51803456 -2.03206337 [334,] -2.34213348 -0.51803456 [335,] -1.51803456 -2.34213348 [336,] -3.40105107 -1.51803456 [337,] -3.49382596 -3.40105107 [338,] -1.41112969 -3.49382596 [339,] -5.83195370 -1.41112969 [340,] -6.24654412 -5.83195370 [341,] -0.11458062 -6.24654412 [342,] -0.74882246 -0.11458062 [343,] 0.96128614 -0.74882246 [344,] -0.40105107 0.96128614 [345,] 8.59894893 -0.40105107 [346,] -2.40105107 8.59894893 [347,] 2.73744192 -2.40105107 [348,] -2.53872009 2.73744192 [349,] -3.40105107 -2.53872009 [350,] -4.97608762 -3.40105107 [351,] 3.56998769 -4.97608762 [352,] 1.01353935 3.56998769 [353,] 1.25117754 1.01353935 [354,] 2.59894893 1.25117754 [355,] -1.74882246 2.59894893 [356,] 0.46127991 -1.74882246 [357,] -3.40105107 0.46127991 [358,] 0.01353935 -3.40105107 [359,] 4.90686285 0.01353935 [360,] 7.09699590 4.90686285 [361,] 3.09699590 7.09699590 [362,] 2.97759329 3.09699590 [363,] -2.02240671 2.97759329 [364,] -2.26849637 -2.02240671 [365,] 4.73150363 -2.26849637 [366,] -3.02240671 4.73150363 [367,] 0.73150363 -3.02240671 [368,] -2.02240671 0.73150363 [369,] -1.84796766 -2.02240671 [370,] -3.53872009 -1.84796766 [371,] -1.84796766 -3.53872009 [372,] 0.15203234 -1.84796766 [373,] -1.84796766 0.15203234 [374,] 3.46127991 -1.84796766 [375,] -0.53872009 3.46127991 [376,] 4.11244527 -0.53872009 [377,] 2.99214523 4.11244527 [378,] 4.42271749 2.99214523 [379,] 5.42271749 4.42271749 [380,] -0.57728251 5.42271749 [381,] 0.47143668 -0.57728251 [382,] 0.47143668 0.47143668 [383,] 3.82597481 0.47143668 [384,] -2.17402519 3.82597481 [385,] -2.49382596 -2.17402519 [386,] 1.75790713 -2.49382596 [387,] 2.11244527 1.75790713 [388,] 5.42271749 2.11244527 [389,] 3.42271749 5.42271749 [390,] -0.57728251 3.42271749 [391,] 2.50617404 -0.57728251 [392,] 4.42271749 2.50617404 [393,] -2.27119980 4.42271749 [394,] 0.72880020 -2.27119980 [395,] 1.75790713 0.72880020 [396,] 1.50617404 1.75790713 [397,] -2.73251530 1.50617404 [398,] 2.26748470 -2.73251530 [399,] -3.44604485 2.26748470 [400,] 0.26748470 -3.44604485 [401,] 0.26748470 0.26748470 [402,] -0.60149111 0.26748470 [403,] -3.52950140 -0.60149111 [404,] -4.52950140 -3.52950140 [405,] -1.60149111 -4.52950140 [406,] -3.03206337 -1.60149111 [407,] -6.03206337 -3.03206337 [408,] 0.96793663 -6.03206337 [409,] -2.26849637 0.96793663 [410,] -4.22382552 -2.26849637 [411,] -2.82582306 -4.22382552 [412,] -2.51514400 -2.82582306 [413,] -4.51514400 -2.51514400 [414,] -4.22382552 -4.51514400 [415,] -4.22382552 -4.22382552 [416,] -5.44604485 -4.22382552 [417,] -5.44604485 -5.44604485 [418,] -5.44604485 -5.44604485 [419,] -3.52950140 -5.44604485 [420,] -4.52950140 -3.52950140 [421,] -4.44604485 -4.52950140 [422,] -5.43582981 -4.44604485 [423,] -3.76918302 -5.43582981 [424,] -3.87319734 -3.76918302 [425,] -1.43582981 -3.87319734 [426,] -7.10229544 -1.43582981 [427,] -4.04792050 -7.10229544 [428,] 7.47729387 -4.04792050 [429,] -0.64033074 7.47729387 [430,] 3.56417019 -0.64033074 [431,] 2.11244527 3.56417019 [432,] -5.02386873 2.11244527 [433,] 3.12680266 -5.02386873 [434,] 2.18830693 3.12680266 [435,] -5.44604485 2.18830693 [436,] -5.82605047 -5.44604485 [437,] 2.46135806 -5.82605047 [438,] 3.06466415 2.46135806 [439,] 1.97613127 3.06466415 [440,] 6.35966926 1.97613127 [441,] 9.35966926 6.35966926 [442,] 4.20628699 9.35966926 [443,] 2.26748470 4.20628699 [444,] 0.92109482 2.26748470 [445,] 0.96793663 0.92109482 [446,] 2.03992634 0.96793663 [447,] 2.75790713 2.03992634 [448,] 7.18830693 2.75790713 [449,] 5.72880020 7.18830693 [450,] -5.02386873 5.72880020 [451,] 5.35966926 -5.02386873 [452,] 6.50617404 5.35966926 [453,] -3.44604485 6.50617404 [454,] -4.93533585 -3.44604485 [455,] 5.16616773 -4.93533585 [456,] 1.42271749 5.16616773 [457,] -3.31792488 1.42271749 [458,] -5.75482563 -3.31792488 [459,] 0.55395515 -5.75482563 [460,] 7.35966926 0.55395515 [461,] 3.06466415 7.35966926 [462,] 4.05732686 3.06466415 [463,] -0.07777647 4.05732686 [464,] 3.92109482 -0.07777647 [465,] 7.48196544 3.92109482 [466,] -9.00785477 7.48196544 [467,] 4.18830693 -9.00785477 [468,] 4.46135806 4.18830693 [469,] 5.16616773 4.46135806 [470,] -3.81597185 5.16616773 [471,] -8.74424211 -3.81597185 [472,] 3.47049860 -8.74424211 [473,] 10.20628699 3.47049860 [474,] 0.75790713 10.20628699 [475,] -2.96007366 0.75790713 [476,] 5.16616773 -2.96007366 [477,] 10.06466415 5.16616773 [478,] 2.72880020 10.06466415 [479,] 3.75790713 2.72880020 [480,] 12.35966926 3.75790713 [481,] 6.41538020 12.35966926 [482,] 2.75345588 6.41538020 [483,] 0.25575789 2.75345588 [484,] 0.83763827 0.25575789 [485,] 5.54981280 0.83763827 [486,] -1.83383227 5.54981280 [487,] -3.24209287 -1.83383227 [488,] 1.25575789 -3.24209287 [489,] 3.56417019 1.25575789 [490,] -1.04079118 3.56417019 [491,] 9.48485600 -1.04079118 [492,] 13.03992634 9.48485600 [493,] 8.25575789 13.03992634 [494,] 6.06466415 8.25575789 [495,] 3.48196544 6.06466415 [496,] -4.07890518 3.48196544 [497,] 6.99132268 -4.07890518 [498,] -5.43582981 6.99132268 [499,] -5.68737466 -5.43582981 [500,] -4.24209287 -5.68737466 [501,] 1.75790713 -4.24209287 [502,] 1.75790713 1.75790713 [503,] 2.99214523 1.75790713 [504,] 5.75790713 2.99214523 [505,] 7.35966926 5.75790713 [506,] -0.44604485 7.35966926 [507,] 9.08685354 -0.44604485 [508,] 0.16616773 9.08685354 [509,] 9.12680266 0.16616773 [510,] 8.11244527 9.12680266 [511,] 5.99132268 8.11244527 [512,] -1.02240671 5.99132268 [513,] -2.02240671 -1.02240671 [514,] 1.97759329 -2.02240671 [515,] 1.97759329 1.97759329 [516,] 2.25117754 1.97759329 [517,] 5.25117754 2.25117754 [518,] 3.25117754 5.25117754 [519,] 2.25117754 3.25117754 [520,] -1.02240671 2.25117754 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 2.21816289 1.21816289 2 -0.56774887 2.21816289 3 -3.12372116 -0.56774887 4 -7.10229544 -3.12372116 5 -1.13000338 -7.10229544 6 -3.13000338 -1.13000338 7 -1.96058245 -3.13000338 8 0.03941755 -1.96058245 9 3.03941755 0.03941755 10 -1.96058245 3.03941755 11 -0.13000338 -1.96058245 12 -5.49382596 -0.13000338 13 -0.74882246 -5.49382596 14 4.56998769 -0.74882246 15 -4.06976845 4.56998769 16 1.65786652 -4.06976845 17 -3.26285127 1.65786652 18 -4.85616230 -3.26285127 19 -0.03871386 -4.85616230 20 -0.34213348 -0.03871386 21 -7.00785477 -0.34213348 22 -4.06976845 -7.00785477 23 -3.49382596 -4.06976845 24 -3.57728251 -3.49382596 25 -3.85616230 -3.57728251 26 -3.26285127 -3.85616230 27 -4.31792488 -3.26285127 28 -0.74882246 -4.31792488 29 1.95207950 -0.74882246 30 -1.65662206 1.95207950 31 -2.65662206 -1.65662206 32 -0.77175849 -2.65662206 33 -3.04792050 -0.77175849 34 -1.04792050 -3.04792050 35 -5.43582981 -1.04792050 36 -5.15966779 -5.43582981 37 -3.43582981 -5.15966779 38 -2.43582981 -3.43582981 39 -2.15966779 -2.43582981 40 9.73744192 -2.15966779 41 8.73744192 9.73744192 42 -1.71508260 8.73744192 43 1.21530386 -1.71508260 44 -1.71508260 1.21530386 45 1.76277934 -1.71508260 46 -1.23722066 1.76277934 47 -0.71508260 -1.23722066 48 -3.26285127 -0.71508260 49 -3.26285127 -3.26285127 50 -1.26285127 -3.26285127 51 7.25117754 -1.26285127 52 -4.83195370 7.25117754 53 -2.26285127 -4.83195370 54 0.16804630 -2.26285127 55 0.99214523 0.16804630 56 3.50617404 0.99214523 57 1.26748470 3.50617404 58 -0.74882246 1.26748470 59 -2.44604485 -0.74882246 60 -3.26285127 -2.44604485 61 -2.72461386 -3.26285127 62 -5.96007366 -2.72461386 63 -4.23864267 -5.96007366 64 -4.31792488 -4.23864267 65 3.55395515 -4.31792488 66 0.65786652 3.55395515 67 1.55395515 0.65786652 68 -1.72461386 1.55395515 69 -6.23864267 -1.72461386 70 -2.73251530 -6.23864267 71 1.25117754 -2.73251530 72 -3.31792488 1.25117754 73 -2.97384512 -3.31792488 74 -4.48528803 -2.97384512 75 5.03446074 -4.48528803 76 -5.53864194 5.03446074 77 -4.12372116 -5.53864194 78 2.63308367 -4.12372116 79 0.75790713 2.63308367 80 4.56417019 0.75790713 81 24.60115549 4.56417019 82 2.61995933 24.60115549 83 -0.45018720 2.61995933 84 -5.76918302 -0.45018720 85 -3.43582981 -5.76918302 86 -3.66492791 -3.43582981 87 1.23081698 -3.66492791 88 2.88635746 1.23081698 89 3.63308367 2.88635746 90 -2.75910441 3.63308367 91 -9.10229544 -2.75910441 92 3.02438212 -9.10229544 93 -4.10229544 3.02438212 94 3.25525299 -4.10229544 95 -4.10229544 3.25525299 96 -1.45018720 -4.10229544 97 -7.28987398 -1.45018720 98 -4.27119980 -7.28987398 99 5.03446074 -4.27119980 100 -2.43582981 5.03446074 101 -7.39884451 -2.43582981 102 1.71012602 -7.39884451 103 0.16616773 1.71012602 104 0.02438212 0.16616773 105 -3.97384512 0.02438212 106 -1.36691633 -3.97384512 107 -6.39884451 -1.36691633 108 2.24089559 -6.39884451 109 -4.39053866 2.24089559 110 2.23081698 -4.39053866 111 -3.27119980 2.23081698 112 2.88635746 -3.27119980 113 1.10259406 2.88635746 114 2.55395515 1.10259406 115 -2.73251530 2.55395515 116 -4.44604485 -2.73251530 117 -0.02240671 -4.44604485 118 0.97759329 -0.02240671 119 -0.02240671 0.97759329 120 -2.44604485 -0.02240671 121 -1.41370516 -2.44604485 122 -1.02240671 -1.41370516 123 0.97759329 -1.02240671 124 -2.31792488 0.97759329 125 -0.02240671 -2.31792488 126 -1.31792488 -0.02240671 127 -1.81597185 -1.31792488 128 -1.81597185 -1.81597185 129 0.95207950 -1.81597185 130 1.58108851 0.95207950 131 0.58108851 1.58108851 132 3.12680266 0.58108851 133 -6.88755473 3.12680266 134 -6.80472534 -6.88755473 135 2.12680266 -6.80472534 136 2.11244527 2.12680266 137 -4.10229544 2.11244527 138 2.74999287 -4.10229544 139 -3.83383227 2.74999287 140 -1.80472534 -3.83383227 141 -0.89195379 -1.80472534 142 1.16616773 -0.89195379 143 6.47049860 1.16616773 144 -7.96007366 6.47049860 145 3.55395515 -7.96007366 146 4.95207950 3.55395515 147 0.34337794 4.95207950 148 -3.88755473 0.34337794 149 -1.06976845 -3.88755473 150 0.89770456 -1.06976845 151 1.55395515 0.89770456 152 3.50617404 1.55395515 153 14.25740608 3.50617404 154 5.25740608 14.25740608 155 -0.75672390 5.25740608 156 1.15203234 -0.75672390 157 7.15203234 1.15203234 158 0.15203234 7.15203234 159 2.75345588 0.15203234 160 9.75345588 2.75345588 161 -2.96007366 9.75345588 162 -0.96007366 -2.96007366 163 0.16804630 -0.96007366 164 3.03992634 0.16804630 165 -3.24654412 3.03992634 166 -6.24654412 -3.24654412 167 -4.83195370 -6.24654412 168 3.16804630 -4.83195370 169 17.03992634 3.16804630 170 -6.24654412 17.03992634 171 -3.57728251 -6.24654412 172 2.69154221 -3.57728251 173 7.16804630 2.69154221 174 10.16804630 7.16804630 175 5.59861857 10.16804630 176 -6.96007366 5.59861857 177 -1.83195370 -6.96007366 178 -1.24654412 -1.83195370 179 7.75345588 -1.24654412 180 14.75345588 7.75345588 181 -2.40138143 14.75345588 182 -7.24654412 -2.40138143 183 -0.83195370 -7.24654412 184 1.75345588 -0.83195370 185 4.75345588 1.75345588 186 2.03992634 4.75345588 187 0.25740608 2.03992634 188 11.16804630 0.25740608 189 -0.40138143 11.16804630 190 -3.24654412 -0.40138143 191 15.03992634 -3.24654412 192 4.55395515 15.03992634 193 4.75345588 4.55395515 194 2.16804630 4.75345588 195 2.03992634 2.16804630 196 9.59861857 2.03992634 197 -0.83195370 9.59861857 198 3.75345588 -0.83195370 199 1.25740608 3.75345588 200 0.55395515 1.25740608 201 -7.24654412 0.55395515 202 -2.24654412 -7.24654412 203 -0.96007366 -2.24654412 204 -2.24654412 -0.96007366 205 -2.40138143 -2.24654412 206 11.03992634 -2.40138143 207 4.75345588 11.03992634 208 9.75345588 4.75345588 209 -5.24654412 9.75345588 210 6.75345588 -5.24654412 211 -1.57728251 6.75345588 212 -2.96007366 -1.57728251 213 3.16804630 -2.96007366 214 -1.57728251 3.16804630 215 15.75345588 -1.57728251 216 -1.96007366 15.75345588 217 5.75345588 -1.96007366 218 7.75345588 5.75345588 219 0.75345588 7.75345588 220 -4.30845779 0.75345588 221 -3.30845779 -4.30845779 222 -3.40105107 -3.30845779 223 -3.40105107 -3.40105107 224 -3.41370516 -3.40105107 225 -6.74259392 -3.41370516 226 -2.41370516 -6.74259392 227 0.88541938 -2.41370516 228 -3.40105107 0.88541938 229 -4.74259392 -3.40105107 230 -2.30845779 -4.74259392 231 -0.11458062 -2.30845779 232 -2.40105107 -0.11458062 233 5.88541938 -2.40105107 234 -2.40105107 5.88541938 235 -3.40105107 -2.40105107 236 -6.74259392 -3.40105107 237 -3.68986717 -6.74259392 238 -2.53226653 -3.68986717 239 -2.09213387 -2.53226653 240 -4.47577893 -2.09213387 241 3.25117754 -4.47577893 242 -4.47577893 3.25117754 243 -1.04701972 -4.47577893 244 -1.53226653 -1.04701972 245 -1.04701972 -1.53226653 246 -0.40105107 -1.04701972 247 7.33333333 -0.40105107 248 -7.66666667 7.33333333 249 1.33333333 -7.66666667 250 -1.66666667 1.33333333 251 -3.66666667 -1.66666667 252 -7.66666667 -3.66666667 253 -5.66666667 -7.66666667 254 2.33333333 -5.66666667 255 4.33333333 2.33333333 256 -4.66666667 4.33333333 257 -0.66666667 -4.66666667 258 16.33333333 -0.66666667 259 8.73150363 16.33333333 260 0.73150363 8.73150363 261 1.73150363 0.73150363 262 -3.26849637 1.73150363 263 0.16804630 -3.26849637 264 -1.09213387 0.16804630 265 0.48485600 -1.09213387 266 3.68207512 0.48485600 267 1.48485600 3.68207512 268 -0.24654412 1.48485600 269 -4.85616230 -0.24654412 270 -6.85616230 -4.85616230 271 -2.42559003 -6.85616230 272 4.03907243 -2.42559003 273 -5.96092757 4.03907243 274 -3.31792488 -5.96092757 275 4.61297596 -3.31792488 276 1.03907243 4.61297596 277 2.99132268 1.03907243 278 -0.51803456 2.99132268 279 -2.73593625 -0.51803456 280 1.18376818 -2.73593625 281 3.48485600 1.18376818 282 -5.96007366 3.48485600 283 -3.96007366 -5.96007366 284 -7.83195370 -3.96007366 285 -2.75672390 -7.83195370 286 -6.83195370 -2.75672390 287 0.39218371 -6.83195370 288 -2.83195370 0.39218371 289 -0.83195370 -2.83195370 290 -6.83195370 -0.83195370 291 -5.83195370 -6.83195370 292 4.03992634 -5.83195370 293 -4.96007366 4.03992634 294 -3.38702404 -4.96007366 295 0.61297596 -3.38702404 296 -2.38702404 0.61297596 297 -1.81169307 -2.38702404 298 -3.38702404 -1.81169307 299 -5.81169307 -3.38702404 300 -2.38702404 -5.81169307 301 -1.38702404 -2.38702404 302 -3.38702404 -1.38702404 303 -1.38702404 -3.38702404 304 -1.74882246 -1.38702404 305 2.65786652 -1.74882246 306 -1.04701972 2.65786652 307 3.19076490 -1.04701972 308 0.95298028 3.19076490 309 -0.74882246 0.95298028 310 -3.34213348 -0.74882246 311 3.67523506 -3.34213348 312 -2.04701972 3.67523506 313 -3.04701972 -2.04701972 314 -3.04701972 -3.04701972 315 -0.32476494 -3.04701972 316 -3.80923510 -0.32476494 317 -3.40105107 -3.80923510 318 0.59894893 -3.40105107 319 -4.40138143 0.59894893 320 -0.40105107 -4.40138143 321 -4.81597185 -0.40105107 322 -3.73251530 -4.81597185 323 -2.40105107 -3.73251530 324 -1.40105107 -2.40105107 325 3.59894893 -1.40105107 326 -0.40105107 3.59894893 327 -3.40105107 -0.40105107 328 -1.34213348 -3.40105107 329 -0.74882246 -1.34213348 330 0.25117754 -0.74882246 331 1.57440997 0.25117754 332 -2.03206337 1.57440997 333 -0.51803456 -2.03206337 334 -2.34213348 -0.51803456 335 -1.51803456 -2.34213348 336 -3.40105107 -1.51803456 337 -3.49382596 -3.40105107 338 -1.41112969 -3.49382596 339 -5.83195370 -1.41112969 340 -6.24654412 -5.83195370 341 -0.11458062 -6.24654412 342 -0.74882246 -0.11458062 343 0.96128614 -0.74882246 344 -0.40105107 0.96128614 345 8.59894893 -0.40105107 346 -2.40105107 8.59894893 347 2.73744192 -2.40105107 348 -2.53872009 2.73744192 349 -3.40105107 -2.53872009 350 -4.97608762 -3.40105107 351 3.56998769 -4.97608762 352 1.01353935 3.56998769 353 1.25117754 1.01353935 354 2.59894893 1.25117754 355 -1.74882246 2.59894893 356 0.46127991 -1.74882246 357 -3.40105107 0.46127991 358 0.01353935 -3.40105107 359 4.90686285 0.01353935 360 7.09699590 4.90686285 361 3.09699590 7.09699590 362 2.97759329 3.09699590 363 -2.02240671 2.97759329 364 -2.26849637 -2.02240671 365 4.73150363 -2.26849637 366 -3.02240671 4.73150363 367 0.73150363 -3.02240671 368 -2.02240671 0.73150363 369 -1.84796766 -2.02240671 370 -3.53872009 -1.84796766 371 -1.84796766 -3.53872009 372 0.15203234 -1.84796766 373 -1.84796766 0.15203234 374 3.46127991 -1.84796766 375 -0.53872009 3.46127991 376 4.11244527 -0.53872009 377 2.99214523 4.11244527 378 4.42271749 2.99214523 379 5.42271749 4.42271749 380 -0.57728251 5.42271749 381 0.47143668 -0.57728251 382 0.47143668 0.47143668 383 3.82597481 0.47143668 384 -2.17402519 3.82597481 385 -2.49382596 -2.17402519 386 1.75790713 -2.49382596 387 2.11244527 1.75790713 388 5.42271749 2.11244527 389 3.42271749 5.42271749 390 -0.57728251 3.42271749 391 2.50617404 -0.57728251 392 4.42271749 2.50617404 393 -2.27119980 4.42271749 394 0.72880020 -2.27119980 395 1.75790713 0.72880020 396 1.50617404 1.75790713 397 -2.73251530 1.50617404 398 2.26748470 -2.73251530 399 -3.44604485 2.26748470 400 0.26748470 -3.44604485 401 0.26748470 0.26748470 402 -0.60149111 0.26748470 403 -3.52950140 -0.60149111 404 -4.52950140 -3.52950140 405 -1.60149111 -4.52950140 406 -3.03206337 -1.60149111 407 -6.03206337 -3.03206337 408 0.96793663 -6.03206337 409 -2.26849637 0.96793663 410 -4.22382552 -2.26849637 411 -2.82582306 -4.22382552 412 -2.51514400 -2.82582306 413 -4.51514400 -2.51514400 414 -4.22382552 -4.51514400 415 -4.22382552 -4.22382552 416 -5.44604485 -4.22382552 417 -5.44604485 -5.44604485 418 -5.44604485 -5.44604485 419 -3.52950140 -5.44604485 420 -4.52950140 -3.52950140 421 -4.44604485 -4.52950140 422 -5.43582981 -4.44604485 423 -3.76918302 -5.43582981 424 -3.87319734 -3.76918302 425 -1.43582981 -3.87319734 426 -7.10229544 -1.43582981 427 -4.04792050 -7.10229544 428 7.47729387 -4.04792050 429 -0.64033074 7.47729387 430 3.56417019 -0.64033074 431 2.11244527 3.56417019 432 -5.02386873 2.11244527 433 3.12680266 -5.02386873 434 2.18830693 3.12680266 435 -5.44604485 2.18830693 436 -5.82605047 -5.44604485 437 2.46135806 -5.82605047 438 3.06466415 2.46135806 439 1.97613127 3.06466415 440 6.35966926 1.97613127 441 9.35966926 6.35966926 442 4.20628699 9.35966926 443 2.26748470 4.20628699 444 0.92109482 2.26748470 445 0.96793663 0.92109482 446 2.03992634 0.96793663 447 2.75790713 2.03992634 448 7.18830693 2.75790713 449 5.72880020 7.18830693 450 -5.02386873 5.72880020 451 5.35966926 -5.02386873 452 6.50617404 5.35966926 453 -3.44604485 6.50617404 454 -4.93533585 -3.44604485 455 5.16616773 -4.93533585 456 1.42271749 5.16616773 457 -3.31792488 1.42271749 458 -5.75482563 -3.31792488 459 0.55395515 -5.75482563 460 7.35966926 0.55395515 461 3.06466415 7.35966926 462 4.05732686 3.06466415 463 -0.07777647 4.05732686 464 3.92109482 -0.07777647 465 7.48196544 3.92109482 466 -9.00785477 7.48196544 467 4.18830693 -9.00785477 468 4.46135806 4.18830693 469 5.16616773 4.46135806 470 -3.81597185 5.16616773 471 -8.74424211 -3.81597185 472 3.47049860 -8.74424211 473 10.20628699 3.47049860 474 0.75790713 10.20628699 475 -2.96007366 0.75790713 476 5.16616773 -2.96007366 477 10.06466415 5.16616773 478 2.72880020 10.06466415 479 3.75790713 2.72880020 480 12.35966926 3.75790713 481 6.41538020 12.35966926 482 2.75345588 6.41538020 483 0.25575789 2.75345588 484 0.83763827 0.25575789 485 5.54981280 0.83763827 486 -1.83383227 5.54981280 487 -3.24209287 -1.83383227 488 1.25575789 -3.24209287 489 3.56417019 1.25575789 490 -1.04079118 3.56417019 491 9.48485600 -1.04079118 492 13.03992634 9.48485600 493 8.25575789 13.03992634 494 6.06466415 8.25575789 495 3.48196544 6.06466415 496 -4.07890518 3.48196544 497 6.99132268 -4.07890518 498 -5.43582981 6.99132268 499 -5.68737466 -5.43582981 500 -4.24209287 -5.68737466 501 1.75790713 -4.24209287 502 1.75790713 1.75790713 503 2.99214523 1.75790713 504 5.75790713 2.99214523 505 7.35966926 5.75790713 506 -0.44604485 7.35966926 507 9.08685354 -0.44604485 508 0.16616773 9.08685354 509 9.12680266 0.16616773 510 8.11244527 9.12680266 511 5.99132268 8.11244527 512 -1.02240671 5.99132268 513 -2.02240671 -1.02240671 514 1.97759329 -2.02240671 515 1.97759329 1.97759329 516 2.25117754 1.97759329 517 5.25117754 2.25117754 518 3.25117754 5.25117754 519 2.25117754 3.25117754 520 -1.02240671 2.25117754 > 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/fisher/rcomp/tmp/7fkzh1356108802.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/fisher/rcomp/tmp/8n3z81356108802.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/fisher/rcomp/tmp/9vuki1356108802.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/fisher/rcomp/tmp/10tdzh1356108802.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='') + } + } > myeq <- paste(myeq, ' + e[t]') > a<-table.row.start(a) > a<-table.element(a, myeq) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/fisher/rcomp/tmp/115pnc1356108802.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Variable',header=TRUE) > a<-table.element(a,'Parameter',header=TRUE) > a<-table.element(a,'S.D.',header=TRUE) > a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE) > a<-table.element(a,'2-tail p-value',header=TRUE) > a<-table.element(a,'1-tail p-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:k){ + a<-table.row.start(a) + a<-table.element(a,rownames(mysum$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$coefficients[i,4]/2,6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/fisher/rcomp/tmp/12lfpt1356108802.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Multiple R',1,TRUE) > a<-table.element(a, sqrt(mysum$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$sigma) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Sum Squared Residuals',1,TRUE) > a<-table.element(a, sum(myerror*myerror)) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/fisher/rcomp/tmp/13dexn1356108803.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Time or Index', 1, TRUE) > a<-table.element(a, 'Actuals', 1, TRUE) > a<-table.element(a, 'Interpolation
Forecast', 1, TRUE) > a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE) > a<-table.row.end(a) > for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,i, 1, TRUE) + a<-table.element(a,x[i]) + a<-table.element(a,x[i]-mysum$resid[i]) + a<-table.element(a,mysum$resid[i]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/fisher/rcomp/tmp/144qrs1356108803.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/fisher/rcomp/tmp/15l9tz1356108803.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/fisher/rcomp/tmp/16l11g1356108803.tab") + } > > try(system("convert tmp/15ykm1356108802.ps tmp/15ykm1356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/2cx8r1356108802.ps tmp/2cx8r1356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/3yp761356108802.ps tmp/3yp761356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/423j51356108802.ps tmp/423j51356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/5tgj71356108802.ps tmp/5tgj71356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/6ek7i1356108802.ps tmp/6ek7i1356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/7fkzh1356108802.ps tmp/7fkzh1356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/8n3z81356108802.ps tmp/8n3z81356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/9vuki1356108802.ps tmp/9vuki1356108802.png",intern=TRUE)) character(0) > try(system("convert tmp/10tdzh1356108802.ps tmp/10tdzh1356108802.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 57.881 2.089 59.997