R version 2.9.0 (2009-04-17) Copyright (C) 2009 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. 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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,69863 + ,318765 + ,1 + ,6341 + ,24 + ,63255 + ,286146 + ,1 + ,1164 + ,17 + ,57320 + ,306844 + ,1 + ,3310 + ,33 + ,75230 + ,307705 + ,0 + ,1366 + ,7 + ,79420 + ,312448 + ,0 + ,965 + ,3 + ,73490 + ,299715 + ,0 + ,3256 + ,66 + ,35250 + ,373399 + ,1 + ,1135 + ,17 + ,62285 + ,299446 + ,0 + ,1270 + ,26 + ,69206 + ,325586 + ,0 + ,661 + ,3 + ,65920 + ,291221 + ,0 + ,1013 + ,2 + ,69770 + ,261173 + ,0 + ,2844 + ,67 + ,72683 + ,255027 + ,1 + ,11528 + ,70 + ,-14545 + ,-78375 + ,0 + ,6526 + ,26 + ,55830 + ,-58143 + ,0 + ,2264 + ,24 + ,55174 + ,227033 + ,1 + ,4461 + ,94 + ,67038 + ,235098 + ,0 + ,3999 + ,30 + ,51252 + ,21267 + ,0 + ,35624 + ,223 + ,157278 + ,238675 + ,0 + ,9252 + ,48 + ,79510 + ,197687 + ,0 + ,15236 + ,90 + ,77440 + ,418341 + ,0 + ,18073 + ,180 + ,27284 + ,-297706) + ,dim=c(5 + ,431) + ,dimnames=list(c('Group' + ,'Costs' + ,'Trades' + ,'Dividends' + ,'Wealth ') + ,1:431)) > y <- array(NA,dim=c(5,431),dimnames=list(c('Group','Costs','Trades','Dividends','Wealth '),1:431)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = 'Linear Trend' > par2 = 'Do not include Seasonal Dummies' > par1 = '1' > #'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 Group Costs Trades Dividends Wealth\r t 1 1 162556 1081 213118 6282929 1 2 1 29790 309 81767 4324047 2 3 1 87550 458 153198 4108272 3 4 0 84738 588 -26007 -1212617 4 5 1 54660 299 126942 1485329 5 6 1 42634 156 157214 1779876 6 7 0 40949 481 129352 1367203 7 8 1 42312 323 234817 2519076 8 9 1 37704 452 60448 912684 9 10 1 16275 109 47818 1443586 10 11 0 25830 115 245546 1220017 11 12 0 12679 110 48020 984885 12 13 1 18014 239 -1710 1457425 13 14 0 43556 247 32648 -572920 14 15 1 24524 497 95350 929144 15 16 0 6532 103 151352 1151176 16 17 0 7123 109 288170 790090 17 18 1 20813 502 114337 774497 18 19 1 37597 248 37884 990576 19 20 0 17821 373 122844 454195 20 21 1 12988 119 82340 876607 21 22 1 22330 84 79801 711969 22 23 0 13326 102 165548 702380 23 24 0 16189 295 116384 264449 24 25 0 7146 105 134028 450033 25 26 0 15824 64 63838 541063 26 27 1 26088 267 74996 588864 27 28 0 11326 129 31080 -37216 28 29 0 8568 37 32168 783310 29 30 0 14416 361 49857 467359 30 31 1 3369 28 87161 688779 31 32 1 11819 85 106113 608419 32 33 1 6620 44 80570 696348 33 34 1 4519 49 102129 597793 34 35 0 2220 22 301670 821730 35 36 0 18562 155 102313 377934 36 37 0 10327 91 88577 651939 37 38 1 5336 81 112477 697458 38 39 1 2365 79 191778 700368 39 40 0 4069 145 79804 225986 40 41 0 7710 816 128294 348695 41 42 0 13718 61 96448 373683 42 43 0 4525 226 93811 501709 43 44 0 6869 105 117520 413743 44 45 0 4628 62 69159 379825 45 46 1 3653 24 101792 336260 46 47 1 1265 26 210568 636765 47 48 1 7489 322 136996 481231 48 49 0 4901 84 121920 469107 49 50 0 2284 33 76403 211928 50 51 1 3160 108 108094 563925 51 52 1 4150 150 134759 511939 52 53 1 7285 115 188873 521016 53 54 1 1134 162 146216 543856 54 55 1 4658 158 156608 329304 55 56 0 2384 97 61348 423262 56 57 0 3748 9 50350 509665 57 58 0 5371 66 87720 455881 58 59 0 1285 107 99489 367772 59 60 1 9327 101 87419 406339 60 61 1 5565 47 94355 493408 61 62 0 1528 38 60326 232942 62 63 1 3122 34 94670 416002 63 64 1 7317 84 82425 337430 64 65 0 2675 79 59017 361517 65 66 0 13253 947 90829 360962 66 67 0 880 74 80791 235561 67 68 1 2053 53 100423 408247 68 69 0 1424 94 131116 450296 69 70 1 4036 63 100269 418799 70 71 1 3045 58 27330 247405 71 72 0 5119 49 39039 378519 72 73 0 1431 34 106885 326638 73 74 0 554 11 79285 328233 74 75 0 1975 35 118881 386225 75 76 1 1286 17 77623 283662 76 77 0 1012 47 114768 370225 77 78 0 810 43 74015 269236 78 79 0 1280 117 69465 365732 79 80 1 666 171 117869 420383 80 81 0 1380 26 60982 345811 81 82 1 4608 73 90131 431809 82 83 0 876 59 138971 418876 83 84 0 814 18 39625 297476 84 85 0 514 15 102725 416776 85 86 1 5692 72 64239 357257 86 87 0 3642 86 90262 458343 87 88 0 540 14 103960 388386 88 89 0 2099 64 106611 358934 89 90 0 567 11 103345 407560 90 91 0 2001 52 95551 392558 91 92 1 2949 41 82903 373177 92 93 0 2253 99 63593 428370 93 94 1 6533 75 126910 369419 94 95 0 1889 45 37527 358649 95 96 1 3055 43 60247 376641 96 97 0 272 8 112995 467427 97 98 1 1414 198 70184 364885 98 99 0 2564 22 130140 436230 99 100 1 1383 11 73221 329118 100 101 1 1261 33 76114 317365 101 102 0 975 23 90534 286849 102 103 0 3366 80 108479 376685 103 104 0 576 18 113761 407198 104 105 0 1306 28 68696 377772 105 106 0 746 23 71561 271483 106 107 1 3192 60 59831 153661 107 108 1 2045 20 97890 513294 108 109 0 5477 59 101481 324881 109 110 1 1932 36 72954 264512 110 111 0 936 30 67939 420968 111 112 1 3437 47 48022 129302 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279230 395 396 0 562 13 58456 298731 396 397 0 4917 42 52811 243650 397 398 1 1442 118 121173 532682 398 399 0 529 9 63870 319771 399 400 1 2126 138 21001 171493 400 401 0 1061 5 70415 347262 401 402 0 776 9 64230 343945 402 403 0 611 8 59190 311874 403 404 1 1526 25 69351 302211 404 405 0 592 7 64270 316708 405 406 0 1182 13 70694 333463 406 407 0 621 16 68005 344282 407 408 0 989 11 58930 319635 408 409 0 438 11 58320 301186 409 410 0 726 3 69980 300381 410 411 0 1303 61 69863 318765 411 412 1 6341 24 63255 286146 412 413 1 1164 17 57320 306844 413 414 1 3310 33 75230 307705 414 415 0 1366 7 79420 312448 415 416 0 965 3 73490 299715 416 417 0 3256 66 35250 373399 417 418 1 1135 17 62285 299446 418 419 0 1270 26 69206 325586 419 420 0 661 3 65920 291221 420 421 0 1013 2 69770 261173 421 422 0 2844 67 72683 255027 422 423 1 11528 70 -14545 -78375 423 424 0 6526 26 55830 -58143 424 425 0 2264 24 55174 227033 425 426 1 4461 94 67038 235098 426 427 0 3999 30 51252 21267 427 428 0 35624 223 157278 238675 428 429 0 9252 48 79510 197687 429 430 0 15236 90 77440 418341 430 431 0 18073 180 27284 -297706 431 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) Costs Trades Dividends `Wealth\r` t 3.136e-01 1.112e-06 -2.500e-05 1.933e-07 1.514e-07 -5.201e-04 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -0.5755 -0.2901 -0.2072 0.5415 0.9100 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.136e-01 8.150e-02 3.848 0.000137 *** Costs 1.112e-06 3.352e-06 0.332 0.740243 Trades -2.500e-05 3.085e-04 -0.081 0.935451 Dividends 1.933e-07 7.790e-07 0.248 0.804097 `Wealth\r` 1.514e-07 7.012e-08 2.159 0.031416 * t -5.201e-04 1.952e-04 -2.664 0.008017 ** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4356 on 425 degrees of freedom Multiple R-squared: 0.06866, Adjusted R-squared: 0.05771 F-statistic: 6.267 on 5 and 425 DF, p-value: 1.265e-05 > 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,] 0.3233481 6.466963e-01 6.766519e-01 [2,] 0.3703134 7.406269e-01 6.296866e-01 [3,] 0.6480321 7.039358e-01 3.519679e-01 [4,] 0.7843802 4.312396e-01 2.156198e-01 [5,] 0.7467897 5.064206e-01 2.532103e-01 [6,] 0.6849041 6.301918e-01 3.150959e-01 [7,] 0.7098326 5.803348e-01 2.901674e-01 [8,] 0.7270237 5.459527e-01 2.729763e-01 [9,] 0.6594181 6.811638e-01 3.405819e-01 [10,] 0.6615103 6.769793e-01 3.384897e-01 [11,] 0.6405096 7.189807e-01 3.594904e-01 [12,] 0.6565726 6.868548e-01 3.434274e-01 [13,] 0.6360209 7.279583e-01 3.639791e-01 [14,] 0.5994811 8.010379e-01 4.005189e-01 [15,] 0.6152204 7.695592e-01 3.847796e-01 [16,] 0.6103895 7.792210e-01 3.896105e-01 [17,] 0.5926807 8.146385e-01 4.073193e-01 [18,] 0.6000551 7.998898e-01 3.999449e-01 [19,] 0.6316060 7.367880e-01 3.683940e-01 [20,] 0.6286854 7.426292e-01 3.713146e-01 [21,] 0.6430453 7.139095e-01 3.569547e-01 [22,] 0.6297479 7.405043e-01 3.702521e-01 [23,] 0.6971903 6.056195e-01 3.028097e-01 [24,] 0.7455319 5.089362e-01 2.544681e-01 [25,] 0.7533783 4.932433e-01 2.466217e-01 [26,] 0.7601302 4.797396e-01 2.398698e-01 [27,] 0.7354824 5.290352e-01 2.645176e-01 [28,] 0.7329943 5.340113e-01 2.670057e-01 [29,] 0.7388769 5.222461e-01 2.611231e-01 [30,] 0.7589383 4.821234e-01 2.410617e-01 [31,] 0.7912549 4.174901e-01 2.087451e-01 [32,] 0.7936485 4.127030e-01 2.063515e-01 [33,] 0.7667059 4.665882e-01 2.332941e-01 [34,] 0.7629536 4.740928e-01 2.370464e-01 [35,] 0.7509223 4.981554e-01 2.490777e-01 [36,] 0.7327777 5.344446e-01 2.672223e-01 [37,] 0.7178804 5.642391e-01 2.821196e-01 [38,] 0.7671209 4.657582e-01 2.328791e-01 [39,] 0.8117021 3.765958e-01 1.882979e-01 [40,] 0.8431499 3.137002e-01 1.568501e-01 [41,] 0.8407498 3.185003e-01 1.592502e-01 [42,] 0.8345857 3.308286e-01 1.654143e-01 [43,] 0.8504082 2.991836e-01 1.495918e-01 [44,] 0.8644483 2.711035e-01 1.355517e-01 [45,] 0.8757699 2.484601e-01 1.242301e-01 [46,] 0.8805024 2.389953e-01 1.194976e-01 [47,] 0.8852697 2.294607e-01 1.147303e-01 [48,] 0.8985174 2.029653e-01 1.014826e-01 [49,] 0.9083783 1.832433e-01 9.162167e-02 [50,] 0.9108929 1.782143e-01 8.910713e-02 [51,] 0.9089286 1.821429e-01 9.107144e-02 [52,] 0.9156431 1.687139e-01 8.435693e-02 [53,] 0.9188438 1.623124e-01 8.115618e-02 [54,] 0.9197319 1.605362e-01 8.026812e-02 [55,] 0.9238900 1.522201e-01 7.611003e-02 [56,] 0.9263228 1.473544e-01 7.367721e-02 [57,] 0.9301507 1.396986e-01 6.984928e-02 [58,] 0.9260584 1.478833e-01 7.394165e-02 [59,] 0.9261892 1.476217e-01 7.381084e-02 [60,] 0.9308410 1.383179e-01 6.915896e-02 [61,] 0.9318680 1.362639e-01 6.813197e-02 [62,] 0.9360436 1.279128e-01 6.395642e-02 [63,] 0.9381730 1.236540e-01 6.182699e-02 [64,] 0.9419708 1.160583e-01 5.802917e-02 [65,] 0.9426954 1.146091e-01 5.730456e-02 [66,] 0.9426692 1.146616e-01 5.733082e-02 [67,] 0.9413538 1.172925e-01 5.864624e-02 [68,] 0.9475605 1.048790e-01 5.243952e-02 [69,] 0.9464571 1.070858e-01 5.354288e-02 [70,] 0.9445788 1.108423e-01 5.542117e-02 [71,] 0.9423447 1.153107e-01 5.765533e-02 [72,] 0.9495435 1.009130e-01 5.045649e-02 [73,] 0.9475070 1.049860e-01 5.249302e-02 [74,] 0.9541816 9.163676e-02 4.581838e-02 [75,] 0.9522904 9.541914e-02 4.770957e-02 [76,] 0.9498733 1.002534e-01 5.012668e-02 [77,] 0.9468396 1.063208e-01 5.316041e-02 [78,] 0.9551923 8.961531e-02 4.480766e-02 [79,] 0.9526059 9.478821e-02 4.739411e-02 [80,] 0.9494707 1.010586e-01 5.052928e-02 [81,] 0.9458049 1.083903e-01 5.419514e-02 [82,] 0.9415261 1.169478e-01 5.847391e-02 [83,] 0.9365740 1.268521e-01 6.342604e-02 [84,] 0.9486801 1.026398e-01 5.131991e-02 [85,] 0.9443814 1.112372e-01 5.561862e-02 [86,] 0.9546204 9.075927e-02 4.537964e-02 [87,] 0.9508234 9.835315e-02 4.917658e-02 [88,] 0.9600133 7.997344e-02 3.998672e-02 [89,] 0.9570435 8.591299e-02 4.295650e-02 [90,] 0.9646267 7.074667e-02 3.537334e-02 [91,] 0.9621914 7.561723e-02 3.780862e-02 [92,] 0.9688065 6.238705e-02 3.119353e-02 [93,] 0.9739102 5.217952e-02 2.608976e-02 [94,] 0.9723908 5.521841e-02 2.760920e-02 [95,] 0.9705162 5.896767e-02 2.948383e-02 [96,] 0.9686628 6.267444e-02 3.133722e-02 [97,] 0.9660228 6.795435e-02 3.397717e-02 [98,] 0.9632438 7.351234e-02 3.675617e-02 [99,] 0.9703333 5.933331e-02 2.966666e-02 [100,] 0.9759223 4.815530e-02 2.407765e-02 [101,] 0.9741760 5.164808e-02 2.582404e-02 [102,] 0.9786952 4.260959e-02 2.130479e-02 [103,] 0.9770798 4.584040e-02 2.292020e-02 [104,] 0.9813392 3.732157e-02 1.866079e-02 [105,] 0.9800796 3.984089e-02 1.992044e-02 [106,] 0.9835348 3.293041e-02 1.646520e-02 [107,] 0.9866714 2.665720e-02 1.332860e-02 [108,] 0.9858210 2.835799e-02 1.417899e-02 [109,] 0.9849367 3.012667e-02 1.506333e-02 [110,] 0.9838364 3.232720e-02 1.616360e-02 [111,] 0.9867482 2.650364e-02 1.325182e-02 [112,] 0.9857307 2.853862e-02 1.426931e-02 [113,] 0.9845514 3.089726e-02 1.544863e-02 [114,] 0.9832359 3.352823e-02 1.676412e-02 [115,] 0.9819631 3.607387e-02 1.803694e-02 [116,] 0.9853840 2.923198e-02 1.461599e-02 [117,] 0.9884627 2.307464e-02 1.153732e-02 [118,] 0.9908589 1.828218e-02 9.141088e-03 [119,] 0.9901557 1.968861e-02 9.844305e-03 [120,] 0.9893291 2.134182e-02 1.067091e-02 [121,] 0.9883679 2.326420e-02 1.163210e-02 [122,] 0.9872602 2.547965e-02 1.273982e-02 [123,] 0.9859917 2.801653e-02 1.400826e-02 [124,] 0.9845846 3.083075e-02 1.541538e-02 [125,] 0.9829346 3.413086e-02 1.706543e-02 [126,] 0.9810650 3.787003e-02 1.893501e-02 [127,] 0.9789503 4.209932e-02 2.104966e-02 [128,] 0.9765760 4.684791e-02 2.342396e-02 [129,] 0.9739211 5.215786e-02 2.607893e-02 [130,] 0.9709251 5.814983e-02 2.907492e-02 [131,] 0.9675785 6.484307e-02 3.242154e-02 [132,] 0.9638514 7.229730e-02 3.614865e-02 [133,] 0.9597317 8.053650e-02 4.026825e-02 [134,] 0.9551535 8.969309e-02 4.484655e-02 [135,] 0.9500903 9.981936e-02 4.990968e-02 [136,] 0.9445461 1.109079e-01 5.545394e-02 [137,] 0.9385274 1.229453e-01 6.147264e-02 [138,] 0.9318923 1.362153e-01 6.810766e-02 [139,] 0.9246534 1.506933e-01 7.534663e-02 [140,] 0.9168442 1.663116e-01 8.315579e-02 [141,] 0.9083574 1.832853e-01 9.164265e-02 [142,] 0.8992265 2.015470e-01 1.007735e-01 [143,] 0.8894559 2.210881e-01 1.105441e-01 [144,] 0.8797991 2.404019e-01 1.202009e-01 [145,] 0.8686816 2.626368e-01 1.313184e-01 [146,] 0.8570379 2.859242e-01 1.429621e-01 [147,] 0.8446249 3.107501e-01 1.553751e-01 [148,] 0.8314912 3.370177e-01 1.685088e-01 [149,] 0.8177041 3.645919e-01 1.822959e-01 [150,] 0.8033284 3.933431e-01 1.966716e-01 [151,] 0.7883530 4.232939e-01 2.116470e-01 [152,] 0.7727607 4.544785e-01 2.272393e-01 [153,] 0.7566365 4.867270e-01 2.433635e-01 [154,] 0.7400241 5.199519e-01 2.599759e-01 [155,] 0.7229719 5.540563e-01 2.770281e-01 [156,] 0.7061971 5.876058e-01 2.938029e-01 [157,] 0.6903068 6.193863e-01 3.096932e-01 [158,] 0.6723069 6.553862e-01 3.276931e-01 [159,] 0.6540847 6.918305e-01 3.459153e-01 [160,] 0.6355884 7.288233e-01 3.644116e-01 [161,] 0.6170743 7.658515e-01 3.829257e-01 [162,] 0.5985237 8.029527e-01 4.014763e-01 [163,] 0.5799992 8.400017e-01 4.200008e-01 [164,] 0.5617549 8.764901e-01 4.382451e-01 [165,] 0.5434664 9.130671e-01 4.565336e-01 [166,] 0.5257770 9.484461e-01 4.742230e-01 [167,] 0.5079508 9.840984e-01 4.920492e-01 [168,] 0.4908156 9.816312e-01 5.091844e-01 [169,] 0.4736553 9.473107e-01 5.263447e-01 [170,] 0.5524986 8.950027e-01 4.475014e-01 [171,] 0.5354327 9.291346e-01 4.645673e-01 [172,] 0.5186413 9.627174e-01 4.813587e-01 [173,] 0.5033232 9.933536e-01 4.966768e-01 [174,] 0.5781981 8.436038e-01 4.218019e-01 [175,] 0.5642016 8.715969e-01 4.357984e-01 [176,] 0.6341540 7.316919e-01 3.658460e-01 [177,] 0.6956977 6.086046e-01 3.043023e-01 [178,] 0.7488409 5.023183e-01 2.511591e-01 [179,] 0.7942182 4.115637e-01 2.057818e-01 [180,] 0.7819988 4.360024e-01 2.180012e-01 [181,] 0.7695360 4.609281e-01 2.304640e-01 [182,] 0.7567323 4.865354e-01 2.432677e-01 [183,] 0.7439694 5.120613e-01 2.560306e-01 [184,] 0.7309074 5.381853e-01 2.690926e-01 [185,] 0.7180089 5.639822e-01 2.819911e-01 [186,] 0.7048652 5.902697e-01 2.951348e-01 [187,] 0.6918399 6.163202e-01 3.081601e-01 [188,] 0.7433711 5.132579e-01 2.566289e-01 [189,] 0.7872505 4.254990e-01 2.127495e-01 [190,] 0.8253955 3.492089e-01 1.746045e-01 [191,] 0.8578286 2.843428e-01 1.421714e-01 [192,] 0.8863198 2.273604e-01 1.136802e-01 [193,] 0.9089630 1.820740e-01 9.103700e-02 [194,] 0.9277310 1.445380e-01 7.226902e-02 [195,] 0.9431714 1.136571e-01 5.682855e-02 [196,] 0.9548884 9.022317e-02 4.511158e-02 [197,] 0.9663450 6.731007e-02 3.365504e-02 [198,] 0.9744633 5.107334e-02 2.553667e-02 [199,] 0.9810699 3.786017e-02 1.893009e-02 [200,] 0.9860763 2.784736e-02 1.392368e-02 [201,] 0.9892856 2.142886e-02 1.071443e-02 [202,] 0.9923805 1.523901e-02 7.619507e-03 [203,] 0.9914534 1.709330e-02 8.546650e-03 [204,] 0.9904203 1.915934e-02 9.579670e-03 [205,] 0.9893532 2.129368e-02 1.064684e-02 [206,] 0.9881094 2.378127e-02 1.189064e-02 [207,] 0.9867192 2.656166e-02 1.328083e-02 [208,] 0.9851757 2.964868e-02 1.482434e-02 [209,] 0.9834975 3.300491e-02 1.650246e-02 [210,] 0.9817412 3.651764e-02 1.825882e-02 [211,] 0.9797079 4.058411e-02 2.029205e-02 [212,] 0.9777226 4.455477e-02 2.227738e-02 [213,] 0.9753039 4.939216e-02 2.469608e-02 [214,] 0.9727028 5.459437e-02 2.729719e-02 [215,] 0.9698982 6.020365e-02 3.010183e-02 [216,] 0.9668602 6.627953e-02 3.313977e-02 [217,] 0.9636042 7.279161e-02 3.639581e-02 [218,] 0.9602958 7.940839e-02 3.970420e-02 [219,] 0.9565660 8.686806e-02 4.343403e-02 [220,] 0.9525939 9.481221e-02 4.740610e-02 [221,] 0.9482163 1.035674e-01 5.178368e-02 [222,] 0.9437443 1.125115e-01 5.625574e-02 [223,] 0.9389867 1.220266e-01 6.101328e-02 [224,] 0.9340376 1.319247e-01 6.596237e-02 [225,] 0.9288647 1.422706e-01 7.113532e-02 [226,] 0.9237161 1.525677e-01 7.628387e-02 [227,] 0.9181424 1.637152e-01 8.185759e-02 [228,] 0.9123995 1.752010e-01 8.760051e-02 [229,] 0.9064858 1.870285e-01 9.351424e-02 [230,] 0.9005655 1.988689e-01 9.943447e-02 [231,] 0.8944110 2.111781e-01 1.055890e-01 [232,] 0.8881773 2.236454e-01 1.118227e-01 [233,] 0.8818978 2.362044e-01 1.181022e-01 [234,] 0.8756371 2.487258e-01 1.243629e-01 [235,] 0.8693740 2.612521e-01 1.306260e-01 [236,] 0.8633999 2.732002e-01 1.366001e-01 [237,] 0.8572088 2.855824e-01 1.427912e-01 [238,] 0.8817385 2.365229e-01 1.182615e-01 [239,] 0.9031314 1.937373e-01 9.686863e-02 [240,] 0.8978894 2.042213e-01 1.021106e-01 [241,] 0.9170161 1.659678e-01 8.298388e-02 [242,] 0.9334818 1.330363e-01 6.651817e-02 [243,] 0.9297263 1.405475e-01 7.027375e-02 [244,] 0.9442460 1.115080e-01 5.575401e-02 [245,] 0.9400878 1.198245e-01 5.991225e-02 [246,] 0.9364104 1.271792e-01 6.358959e-02 [247,] 0.9330536 1.338929e-01 6.694645e-02 [248,] 0.9287937 1.424126e-01 7.120629e-02 [249,] 0.9251842 1.496316e-01 7.481582e-02 [250,] 0.9233494 1.533012e-01 7.665062e-02 [251,] 0.9385289 1.229421e-01 6.147106e-02 [252,] 0.9347384 1.305232e-01 6.526161e-02 [253,] 0.9482263 1.035475e-01 5.177373e-02 [254,] 0.9596851 8.062989e-02 4.031494e-02 [255,] 0.9564027 8.719457e-02 4.359729e-02 [256,] 0.9537456 9.250871e-02 4.625436e-02 [257,] 0.9642982 7.140362e-02 3.570181e-02 [258,] 0.9614536 7.709280e-02 3.854640e-02 [259,] 0.9707237 5.855257e-02 2.927629e-02 [260,] 0.9679623 6.407538e-02 3.203769e-02 [261,] 0.9761356 4.772884e-02 2.386442e-02 [262,] 0.9737655 5.246909e-02 2.623454e-02 [263,] 0.9808783 3.824343e-02 1.912171e-02 [264,] 0.9865346 2.693090e-02 1.346545e-02 [265,] 0.9908945 1.821106e-02 9.105529e-03 [266,] 0.9897901 2.041978e-02 1.020989e-02 [267,] 0.9884842 2.303151e-02 1.151575e-02 [268,] 0.9873712 2.525763e-02 1.262881e-02 [269,] 0.9862378 2.752433e-02 1.376217e-02 [270,] 0.9846334 3.073317e-02 1.536659e-02 [271,] 0.9879857 2.402853e-02 1.201427e-02 [272,] 0.9866681 2.666380e-02 1.333190e-02 [273,] 0.9910662 1.786769e-02 8.933845e-03 [274,] 0.9898753 2.024937e-02 1.012468e-02 [275,] 0.9893866 2.122677e-02 1.061339e-02 [276,] 0.9880559 2.388823e-02 1.194411e-02 [277,] 0.9866264 2.674714e-02 1.337357e-02 [278,] 0.9850633 2.987341e-02 1.493671e-02 [279,] 0.9899264 2.014712e-02 1.007356e-02 [280,] 0.9886538 2.269236e-02 1.134618e-02 [281,] 0.9926489 1.470228e-02 7.351142e-03 [282,] 0.9923218 1.535647e-02 7.678234e-03 [283,] 0.9952686 9.462740e-03 4.731370e-03 [284,] 0.9946787 1.064262e-02 5.321308e-03 [285,] 0.9939085 1.218301e-02 6.091507e-03 [286,] 0.9930024 1.399522e-02 6.997611e-03 [287,] 0.9921522 1.569565e-02 7.847826e-03 [288,] 0.9947766 1.044687e-02 5.223433e-03 [289,] 0.9939574 1.208520e-02 6.042599e-03 [290,] 0.9964829 7.034137e-03 3.517068e-03 [291,] 0.9958685 8.263058e-03 4.131529e-03 [292,] 0.9951672 9.665616e-03 4.832808e-03 [293,] 0.9972798 5.440374e-03 2.720187e-03 [294,] 0.9967746 6.450828e-03 3.225414e-03 [295,] 0.9961822 7.635603e-03 3.817802e-03 [296,] 0.9980064 3.987123e-03 1.993562e-03 [297,] 0.9977939 4.412208e-03 2.206104e-03 [298,] 0.9973848 5.230390e-03 2.615195e-03 [299,] 0.9987312 2.537651e-03 1.268826e-03 [300,] 0.9994249 1.150236e-03 5.751178e-04 [301,] 0.9993035 1.392908e-03 6.964539e-04 [302,] 0.9997417 5.166062e-04 2.583031e-04 [303,] 0.9999225 1.550628e-04 7.753139e-05 [304,] 0.9999108 1.784058e-04 8.920292e-05 [305,] 0.9999787 4.250305e-05 2.125152e-05 [306,] 0.9999961 7.853319e-06 3.926659e-06 [307,] 0.9999944 1.111843e-05 5.559216e-06 [308,] 0.9999922 1.557390e-05 7.786948e-06 [309,] 0.9999890 2.191563e-05 1.095782e-05 [310,] 0.9999848 3.037103e-05 1.518551e-05 [311,] 0.9999789 4.224554e-05 2.112277e-05 [312,] 0.9999706 5.875319e-05 2.937660e-05 [313,] 0.9999593 8.136014e-05 4.068007e-05 [314,] 0.9999439 1.121682e-04 5.608410e-05 [315,] 0.9999230 1.539412e-04 7.697058e-05 [316,] 0.9999871 2.584590e-05 1.292295e-05 [317,] 0.9999816 3.675751e-05 1.837876e-05 [318,] 0.9999740 5.202383e-05 2.601192e-05 [319,] 0.9999971 5.767181e-06 2.883591e-06 [320,] 0.9999998 3.130390e-07 1.565195e-07 [321,] 0.9999998 4.795512e-07 2.397756e-07 [322,] 0.9999996 7.317807e-07 3.658904e-07 [323,] 0.9999994 1.112216e-06 5.561082e-07 [324,] 0.9999992 1.683501e-06 8.417506e-07 [325,] 0.9999987 2.537509e-06 1.268755e-06 [326,] 0.9999981 3.828144e-06 1.914072e-06 [327,] 0.9999971 5.733969e-06 2.866985e-06 [328,] 0.9999957 8.530748e-06 4.265374e-06 [329,] 0.9999936 1.270965e-05 6.354823e-06 [330,] 0.9999906 1.873667e-05 9.368334e-06 [331,] 0.9999862 2.751041e-05 1.375521e-05 [332,] 0.9999797 4.050873e-05 2.025437e-05 [333,] 0.9999704 5.929593e-05 2.964797e-05 [334,] 0.9999571 8.575634e-05 4.287817e-05 [335,] 0.9999383 1.233742e-04 6.168708e-05 [336,] 0.9999117 1.765450e-04 8.827249e-05 [337,] 0.9998744 2.512560e-04 1.256280e-04 [338,] 0.9998222 3.556020e-04 1.778010e-04 [339,] 0.9997489 5.022329e-04 2.511164e-04 [340,] 0.9996486 7.028115e-04 3.514058e-04 [341,] 0.9995111 9.777457e-04 4.888728e-04 [342,] 0.9993239 1.352143e-03 6.760713e-04 [343,] 0.9990668 1.866312e-03 9.331558e-04 [344,] 0.9987208 2.558304e-03 1.279152e-03 [345,] 0.9982582 3.483546e-03 1.741773e-03 [346,] 0.9976489 4.702156e-03 2.351078e-03 [347,] 0.9968473 6.305459e-03 3.152730e-03 [348,] 0.9958003 8.399475e-03 4.199738e-03 [349,] 0.9945524 1.089519e-02 5.447597e-03 [350,] 0.9928327 1.433456e-02 7.167279e-03 [351,] 0.9906363 1.872732e-02 9.363662e-03 [352,] 0.9878540 2.429192e-02 1.214596e-02 [353,] 0.9843571 3.128575e-02 1.564287e-02 [354,] 0.9800034 3.999316e-02 1.999658e-02 [355,] 0.9746285 5.074293e-02 2.537147e-02 [356,] 0.9941106 1.177890e-02 5.889448e-03 [357,] 0.9921555 1.568896e-02 7.844480e-03 [358,] 0.9896851 2.062978e-02 1.031489e-02 [359,] 0.9865366 2.692678e-02 1.346339e-02 [360,] 0.9825584 3.488318e-02 1.744159e-02 [361,] 0.9775761 4.484789e-02 2.242394e-02 [362,] 0.9713922 5.721562e-02 2.860781e-02 [363,] 0.9637877 7.242464e-02 3.621232e-02 [364,] 0.9549301 9.013979e-02 4.506990e-02 [365,] 0.9437897 1.124206e-01 5.621030e-02 [366,] 0.9305395 1.389211e-01 6.946054e-02 [367,] 0.9147713 1.704574e-01 8.522872e-02 [368,] 0.8963057 2.073885e-01 1.036943e-01 [369,] 0.8755642 2.488717e-01 1.244358e-01 [370,] 0.8511388 2.977225e-01 1.488612e-01 [371,] 0.8234519 3.530962e-01 1.765481e-01 [372,] 0.7924805 4.150389e-01 2.075195e-01 [373,] 0.7582645 4.834710e-01 2.417355e-01 [374,] 0.7313389 5.373223e-01 2.686611e-01 [375,] 0.7272735 5.454529e-01 2.727265e-01 [376,] 0.6879958 6.240084e-01 3.120042e-01 [377,] 0.6502894 6.994212e-01 3.497106e-01 [378,] 0.6123137 7.753726e-01 3.876863e-01 [379,] 0.5709082 8.581836e-01 4.290918e-01 [380,] 0.5289907 9.420186e-01 4.710093e-01 [381,] 0.4871973 9.743946e-01 5.128027e-01 [382,] 0.4519398 9.038795e-01 5.480602e-01 [383,] 0.4167773 8.335545e-01 5.832227e-01 [384,] 0.3838376 7.676752e-01 6.161624e-01 [385,] 0.3531900 7.063799e-01 6.468100e-01 [386,] 0.3278943 6.557885e-01 6.721057e-01 [387,] 0.4738960 9.477921e-01 5.261040e-01 [388,] 0.4361299 8.722598e-01 5.638701e-01 [389,] 0.4125216 8.250432e-01 5.874784e-01 [390,] 0.4518309 9.036617e-01 5.481691e-01 [391,] 0.4156365 8.312731e-01 5.843635e-01 [392,] 0.3975365 7.950729e-01 6.024635e-01 [393,] 0.3566845 7.133689e-01 6.433155e-01 [394,] 0.3270830 6.541660e-01 6.729170e-01 [395,] 0.3081270 6.162540e-01 6.918730e-01 [396,] 0.4055421 8.110842e-01 5.944579e-01 [397,] 0.3640120 7.280241e-01 6.359880e-01 [398,] 0.3249052 6.498105e-01 6.750948e-01 [399,] 0.2965655 5.931310e-01 7.034345e-01 [400,] 0.2929398 5.858796e-01 7.070602e-01 [401,] 0.3048224 6.096449e-01 6.951776e-01 [402,] 0.3167440 6.334880e-01 6.832560e-01 [403,] 0.3800872 7.601744e-01 6.199128e-01 [404,] 0.3503325 7.006650e-01 6.496675e-01 [405,] 0.3595833 7.191665e-01 6.404167e-01 [406,] 0.4862765 9.725529e-01 5.137235e-01 [407,] 0.4035244 8.070487e-01 5.964756e-01 [408,] 0.3286453 6.572907e-01 6.713547e-01 [409,] 0.5086080 9.827841e-01 4.913920e-01 [410,] 0.6466289 7.067421e-01 3.533711e-01 [411,] 0.5815634 8.368733e-01 4.184366e-01 [412,] 0.4880266 9.760532e-01 5.119734e-01 [413,] 0.3745943 7.491887e-01 6.254057e-01 [414,] 0.6125441 7.749117e-01 3.874559e-01 > postscript(file="/var/www/html/rcomp/tmp/1x09i1291362741.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$resid) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2x09i1291362741.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$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/rcomp/tmp/3x09i1291362741.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4q9831291362741.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5q9831291362741.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 = 431 Frequency = 1 1 2 3 4 5 6 -0.459227029 -0.008422217 -0.049553429 -0.202494451 0.386241923 0.346116566 7 8 9 10 11 12 -0.575504074 0.224780223 0.510550335 0.448395312 -0.565945185 -0.477138436 13 14 15 16 17 18 0.458752944 -0.268205933 0.520212238 -0.513550934 -0.485328045 0.545764607 19 20 21 22 23 24 0.503340900 -0.406248421 0.537179760 0.551851200 -0.452293486 -0.374329235 25 26 27 28 29 30 -0.400009612 -0.410374294 0.574413189 -0.308829635 -0.431969845 -0.385442083 31 32 33 34 35 36 0.578304632 0.579354193 0.576258108 0.589991073 -0.480089532 -0.388686745 37 38 39 40 41 42 -0.419434060 0.574874118 0.562874704 -0.343384796 -0.358090337 -0.380752128 43 44 45 46 47 48 -0.384755695 -0.381134489 -0.364712076 0.636227813 0.572929148 0.611698994 49 50 51 52 53 54 -0.386102764 -0.336213336 0.605792488 0.608976016 0.593297829 0.606623034 55 56 57 58 59 60 0.633595390 -0.360686368 -0.374836962 -0.373779951 -0.356628092 0.631294242 61 62 63 64 65 66 0.620125570 -0.329079491 0.635214747 0.646582219 -0.346981209 -0.342590568 67 68 69 70 71 72 -0.329211872 0.639540563 -0.370515011 0.637057911 0.678604504 -0.345519632 73 74 75 76 77 78 -0.346537275 -0.340521984 -0.357417171 0.666922978 -0.351788695 -0.327976021 79 80 81 82 83 84 -0.339857051 0.645063516 -0.336547184 0.642903385 -0.360261748 -0.323110907 85 86 87 88 89 90 -0.352593013 0.660045644 -0.357139236 -0.347027610 -0.343045085 -0.348876265 91 92 93 94 95 96 -0.345147748 0.659422631 -0.342455215 0.649387484 -0.326765624 0.665291180 97 98 99 100 101 102 -0.355911580 0.671889634 -0.355662345 0.673116626 0.675542270 -0.322037993 103 104 105 106 107 108 -0.339821390 -0.343389323 -0.330263029 -0.313708407 0.705121356 0.644114521 109 110 111 112 113 114 -0.330377929 0.688164022 -0.333074060 0.713095179 -0.304452127 0.688341194 115 116 117 118 119 120 0.680252424 -0.318597566 -0.324088923 -0.340503202 0.699176593 -0.313514684 121 122 123 124 125 126 -0.344869677 -0.316984722 -0.323110572 0.655418911 0.694901272 0.700970034 127 128 129 130 131 132 -0.308622687 -0.308009011 -0.306281345 -0.307062457 -0.306368689 -0.312988599 133 134 135 136 137 138 -0.305502228 -0.304728385 -0.304462075 -0.304928182 -0.303279203 -0.302901845 139 140 141 142 143 144 -0.302381769 -0.301861692 -0.300590874 -0.300821540 -0.300325491 -0.299844400 145 146 147 148 149 150 -0.303021870 -0.298051847 -0.298221157 -0.297552438 -0.297181004 -0.296764740 151 152 153 154 155 156 -0.294927411 -0.295830557 -0.295100698 -0.290983217 -0.294046907 -0.293540469 157 158 159 160 161 162 -0.293020392 -0.292886204 -0.294553607 -0.291460163 -0.290940087 -0.290420010 163 164 165 166 167 168 -0.289899934 -0.290212115 -0.288238632 -0.288339704 -0.287819628 -0.294170625 169 170 171 172 173 174 -0.286779475 -0.286259398 -0.285739322 -0.285176829 -0.284699169 -0.284894620 175 176 177 178 179 180 -0.283659016 -0.283005415 -0.282618863 0.717805185 -0.281578710 -0.281058634 181 182 183 184 185 186 -0.292293217 0.713870601 -0.279272738 0.721846150 0.720684313 0.721543707 187 188 189 190 191 192 0.716756317 -0.277631785 -0.274675487 -0.275857869 -0.276183485 -0.274817716 193 194 195 196 197 198 -0.275428668 -0.273777563 -0.273290415 0.727262590 0.704772756 0.728302743 199 200 201 202 203 204 0.728822820 0.726678503 0.729862972 0.730383049 0.730903125 0.735871747 205 206 207 208 209 210 0.724818626 0.732189403 0.731750648 0.733503508 0.731181915 0.734543661 211 212 213 214 215 216 -0.264936263 -0.264416186 -0.262370731 -0.261427137 -0.263450636 -0.262335880 217 218 219 220 221 222 -0.261744169 -0.261234823 -0.260775651 -0.261254860 -0.255706754 -0.259215422 223 224 225 226 227 228 -0.258640793 -0.258175269 -0.257674447 -0.257289373 -0.256615039 -0.256094963 229 230 231 232 233 234 -0.255503681 -0.255054810 -0.254404220 -0.254014657 -0.253494580 -0.254139807 235 236 237 238 239 240 -0.252454427 -0.251904819 -0.251414274 -0.250773486 -0.250374122 -0.249854045 241 242 243 244 245 246 -0.249333969 -0.249906823 -0.248293816 -0.247269035 -0.254244636 0.753266414 247 248 249 250 251 252 0.753786490 -0.244869477 0.754826643 0.755346720 -0.239893239 0.756386873 253 254 255 256 257 258 -0.242760834 -0.244712725 -0.246665526 -0.241532821 -0.241383431 -0.235636816 259 260 261 262 263 264 0.760027408 -0.239452516 0.761067561 0.761587637 -0.243685786 -0.237457634 265 266 267 268 269 270 0.763147867 -0.236332057 0.764188020 -0.247949594 0.765228173 -0.237701161 271 272 273 274 275 276 0.766268326 0.766788402 0.767308479 -0.231498092 -0.231651368 -0.232348633 277 278 279 280 281 282 -0.232739827 -0.230091139 0.770962281 -0.229463582 0.771469090 -0.228010833 283 284 285 286 287 288 -0.224860968 -0.226970680 -0.228778225 -0.225930527 0.774589549 -0.225473073 289 290 291 292 293 294 0.775629702 -0.219225964 0.776669855 -0.224378362 -0.233308919 -0.221769915 295 296 297 298 299 300 -0.219858717 0.775051172 -0.220209686 0.780310390 -0.219169533 -0.218649457 301 302 303 304 305 306 0.782151228 -0.215374678 -0.217089227 0.783430849 -0.219558600 -0.215313659 307 308 309 310 311 312 0.784991079 0.784509886 -0.212764212 0.786551308 0.787071385 -0.222490898 313 314 315 316 317 318 0.788111538 0.787145355 -0.210806652 -0.213658856 -0.209587437 -0.207734647 319 320 321 322 323 324 -0.208618465 -0.208247927 -0.207727851 -0.207207774 -0.206687698 0.793832379 325 326 327 328 329 330 -0.205647545 -0.204661631 0.795392608 0.795912685 -0.203567239 -0.203047162 331 332 333 334 335 336 -0.202527086 -0.202007009 -0.201486933 -0.200737043 -0.200400304 -0.199926704 337 338 339 340 341 342 -0.199125928 -0.198886551 -0.198432877 -0.197140486 -0.196187485 -0.196806245 343 344 345 346 347 348 -0.196286168 -0.195766092 -0.195246015 -0.194725939 -0.191867271 -0.193685786 349 350 351 352 353 354 -0.193165709 -0.192645633 -0.190957703 -0.191452775 -0.192341054 -0.190539468 355 356 357 358 359 360 -0.190045250 -0.189525174 -0.194749805 -0.188485021 -0.187964945 -0.187444868 361 362 363 364 365 366 -0.186826137 -0.186404715 -0.185884639 0.815372913 -0.183710733 -0.184324409 367 368 369 370 371 372 -0.183804333 -0.183284256 -0.182764180 -0.182244103 -0.181724027 -0.179454651 373 374 375 376 377 378 -0.186463988 -0.179864575 -0.179643721 -0.179123645 -0.175513673 -0.177624561 379 380 381 382 383 384 -0.177563415 -0.177043339 -0.176523262 -0.181154346 -0.164892540 -0.174963033 385 386 387 388 389 390 -0.175070379 -0.164239280 -0.173439269 -0.172896769 -0.171935618 -0.168756889 391 392 393 394 395 396 -0.173348565 -0.168215780 -0.167236095 -0.180359387 0.829835174 -0.164522768 397 398 399 400 401 402 -0.158690563 0.790620458 -0.167257816 0.865447441 -0.172336510 -0.169701489 403 404 405 406 407 408 -0.163193320 0.836232488 -0.163871057 -0.167635637 -0.167534650 -0.162062925 409 410 411 412 413 414 -0.158019243 -0.160152020 -0.161584030 0.838624373 0.842740536 0.837680980 415 416 417 418 419 420 -0.161815335 -0.157875168 -0.162088832 0.845533149 -0.159167317 -0.152707271 421 422 423 424 425 426 -0.148799151 -0.148322971 0.909953407 -0.101733986 -0.139569509 0.856742644 427 428 429 430 431 -0.108400138 -0.191635613 -0.144922791 -0.183010952 -0.065297927 > postscript(file="/var/www/html/rcomp/tmp/6q9831291362741.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 = 431 Frequency = 1 lag(myerror, k = 1) myerror 0 -0.459227029 NA 1 -0.008422217 -0.459227029 2 -0.049553429 -0.008422217 3 -0.202494451 -0.049553429 4 0.386241923 -0.202494451 5 0.346116566 0.386241923 6 -0.575504074 0.346116566 7 0.224780223 -0.575504074 8 0.510550335 0.224780223 9 0.448395312 0.510550335 10 -0.565945185 0.448395312 11 -0.477138436 -0.565945185 12 0.458752944 -0.477138436 13 -0.268205933 0.458752944 14 0.520212238 -0.268205933 15 -0.513550934 0.520212238 16 -0.485328045 -0.513550934 17 0.545764607 -0.485328045 18 0.503340900 0.545764607 19 -0.406248421 0.503340900 20 0.537179760 -0.406248421 21 0.551851200 0.537179760 22 -0.452293486 0.551851200 23 -0.374329235 -0.452293486 24 -0.400009612 -0.374329235 25 -0.410374294 -0.400009612 26 0.574413189 -0.410374294 27 -0.308829635 0.574413189 28 -0.431969845 -0.308829635 29 -0.385442083 -0.431969845 30 0.578304632 -0.385442083 31 0.579354193 0.578304632 32 0.576258108 0.579354193 33 0.589991073 0.576258108 34 -0.480089532 0.589991073 35 -0.388686745 -0.480089532 36 -0.419434060 -0.388686745 37 0.574874118 -0.419434060 38 0.562874704 0.574874118 39 -0.343384796 0.562874704 40 -0.358090337 -0.343384796 41 -0.380752128 -0.358090337 42 -0.384755695 -0.380752128 43 -0.381134489 -0.384755695 44 -0.364712076 -0.381134489 45 0.636227813 -0.364712076 46 0.572929148 0.636227813 47 0.611698994 0.572929148 48 -0.386102764 0.611698994 49 -0.336213336 -0.386102764 50 0.605792488 -0.336213336 51 0.608976016 0.605792488 52 0.593297829 0.608976016 53 0.606623034 0.593297829 54 0.633595390 0.606623034 55 -0.360686368 0.633595390 56 -0.374836962 -0.360686368 57 -0.373779951 -0.374836962 58 -0.356628092 -0.373779951 59 0.631294242 -0.356628092 60 0.620125570 0.631294242 61 -0.329079491 0.620125570 62 0.635214747 -0.329079491 63 0.646582219 0.635214747 64 -0.346981209 0.646582219 65 -0.342590568 -0.346981209 66 -0.329211872 -0.342590568 67 0.639540563 -0.329211872 68 -0.370515011 0.639540563 69 0.637057911 -0.370515011 70 0.678604504 0.637057911 71 -0.345519632 0.678604504 72 -0.346537275 -0.345519632 73 -0.340521984 -0.346537275 74 -0.357417171 -0.340521984 75 0.666922978 -0.357417171 76 -0.351788695 0.666922978 77 -0.327976021 -0.351788695 78 -0.339857051 -0.327976021 79 0.645063516 -0.339857051 80 -0.336547184 0.645063516 81 0.642903385 -0.336547184 82 -0.360261748 0.642903385 83 -0.323110907 -0.360261748 84 -0.352593013 -0.323110907 85 0.660045644 -0.352593013 86 -0.357139236 0.660045644 87 -0.347027610 -0.357139236 88 -0.343045085 -0.347027610 89 -0.348876265 -0.343045085 90 -0.345147748 -0.348876265 91 0.659422631 -0.345147748 92 -0.342455215 0.659422631 93 0.649387484 -0.342455215 94 -0.326765624 0.649387484 95 0.665291180 -0.326765624 96 -0.355911580 0.665291180 97 0.671889634 -0.355911580 98 -0.355662345 0.671889634 99 0.673116626 -0.355662345 100 0.675542270 0.673116626 101 -0.322037993 0.675542270 102 -0.339821390 -0.322037993 103 -0.343389323 -0.339821390 104 -0.330263029 -0.343389323 105 -0.313708407 -0.330263029 106 0.705121356 -0.313708407 107 0.644114521 0.705121356 108 -0.330377929 0.644114521 109 0.688164022 -0.330377929 110 -0.333074060 0.688164022 111 0.713095179 -0.333074060 112 -0.304452127 0.713095179 113 0.688341194 -0.304452127 114 0.680252424 0.688341194 115 -0.318597566 0.680252424 116 -0.324088923 -0.318597566 117 -0.340503202 -0.324088923 118 0.699176593 -0.340503202 119 -0.313514684 0.699176593 120 -0.344869677 -0.313514684 121 -0.316984722 -0.344869677 122 -0.323110572 -0.316984722 123 0.655418911 -0.323110572 124 0.694901272 0.655418911 125 0.700970034 0.694901272 126 -0.308622687 0.700970034 127 -0.308009011 -0.308622687 128 -0.306281345 -0.308009011 129 -0.307062457 -0.306281345 130 -0.306368689 -0.307062457 131 -0.312988599 -0.306368689 132 -0.305502228 -0.312988599 133 -0.304728385 -0.305502228 134 -0.304462075 -0.304728385 135 -0.304928182 -0.304462075 136 -0.303279203 -0.304928182 137 -0.302901845 -0.303279203 138 -0.302381769 -0.302901845 139 -0.301861692 -0.302381769 140 -0.300590874 -0.301861692 141 -0.300821540 -0.300590874 142 -0.300325491 -0.300821540 143 -0.299844400 -0.300325491 144 -0.303021870 -0.299844400 145 -0.298051847 -0.303021870 146 -0.298221157 -0.298051847 147 -0.297552438 -0.298221157 148 -0.297181004 -0.297552438 149 -0.296764740 -0.297181004 150 -0.294927411 -0.296764740 151 -0.295830557 -0.294927411 152 -0.295100698 -0.295830557 153 -0.290983217 -0.295100698 154 -0.294046907 -0.290983217 155 -0.293540469 -0.294046907 156 -0.293020392 -0.293540469 157 -0.292886204 -0.293020392 158 -0.294553607 -0.292886204 159 -0.291460163 -0.294553607 160 -0.290940087 -0.291460163 161 -0.290420010 -0.290940087 162 -0.289899934 -0.290420010 163 -0.290212115 -0.289899934 164 -0.288238632 -0.290212115 165 -0.288339704 -0.288238632 166 -0.287819628 -0.288339704 167 -0.294170625 -0.287819628 168 -0.286779475 -0.294170625 169 -0.286259398 -0.286779475 170 -0.285739322 -0.286259398 171 -0.285176829 -0.285739322 172 -0.284699169 -0.285176829 173 -0.284894620 -0.284699169 174 -0.283659016 -0.284894620 175 -0.283005415 -0.283659016 176 -0.282618863 -0.283005415 177 0.717805185 -0.282618863 178 -0.281578710 0.717805185 179 -0.281058634 -0.281578710 180 -0.292293217 -0.281058634 181 0.713870601 -0.292293217 182 -0.279272738 0.713870601 183 0.721846150 -0.279272738 184 0.720684313 0.721846150 185 0.721543707 0.720684313 186 0.716756317 0.721543707 187 -0.277631785 0.716756317 188 -0.274675487 -0.277631785 189 -0.275857869 -0.274675487 190 -0.276183485 -0.275857869 191 -0.274817716 -0.276183485 192 -0.275428668 -0.274817716 193 -0.273777563 -0.275428668 194 -0.273290415 -0.273777563 195 0.727262590 -0.273290415 196 0.704772756 0.727262590 197 0.728302743 0.704772756 198 0.728822820 0.728302743 199 0.726678503 0.728822820 200 0.729862972 0.726678503 201 0.730383049 0.729862972 202 0.730903125 0.730383049 203 0.735871747 0.730903125 204 0.724818626 0.735871747 205 0.732189403 0.724818626 206 0.731750648 0.732189403 207 0.733503508 0.731750648 208 0.731181915 0.733503508 209 0.734543661 0.731181915 210 -0.264936263 0.734543661 211 -0.264416186 -0.264936263 212 -0.262370731 -0.264416186 213 -0.261427137 -0.262370731 214 -0.263450636 -0.261427137 215 -0.262335880 -0.263450636 216 -0.261744169 -0.262335880 217 -0.261234823 -0.261744169 218 -0.260775651 -0.261234823 219 -0.261254860 -0.260775651 220 -0.255706754 -0.261254860 221 -0.259215422 -0.255706754 222 -0.258640793 -0.259215422 223 -0.258175269 -0.258640793 224 -0.257674447 -0.258175269 225 -0.257289373 -0.257674447 226 -0.256615039 -0.257289373 227 -0.256094963 -0.256615039 228 -0.255503681 -0.256094963 229 -0.255054810 -0.255503681 230 -0.254404220 -0.255054810 231 -0.254014657 -0.254404220 232 -0.253494580 -0.254014657 233 -0.254139807 -0.253494580 234 -0.252454427 -0.254139807 235 -0.251904819 -0.252454427 236 -0.251414274 -0.251904819 237 -0.250773486 -0.251414274 238 -0.250374122 -0.250773486 239 -0.249854045 -0.250374122 240 -0.249333969 -0.249854045 241 -0.249906823 -0.249333969 242 -0.248293816 -0.249906823 243 -0.247269035 -0.248293816 244 -0.254244636 -0.247269035 245 0.753266414 -0.254244636 246 0.753786490 0.753266414 247 -0.244869477 0.753786490 248 0.754826643 -0.244869477 249 0.755346720 0.754826643 250 -0.239893239 0.755346720 251 0.756386873 -0.239893239 252 -0.242760834 0.756386873 253 -0.244712725 -0.242760834 254 -0.246665526 -0.244712725 255 -0.241532821 -0.246665526 256 -0.241383431 -0.241532821 257 -0.235636816 -0.241383431 258 0.760027408 -0.235636816 259 -0.239452516 0.760027408 260 0.761067561 -0.239452516 261 0.761587637 0.761067561 262 -0.243685786 0.761587637 263 -0.237457634 -0.243685786 264 0.763147867 -0.237457634 265 -0.236332057 0.763147867 266 0.764188020 -0.236332057 267 -0.247949594 0.764188020 268 0.765228173 -0.247949594 269 -0.237701161 0.765228173 270 0.766268326 -0.237701161 271 0.766788402 0.766268326 272 0.767308479 0.766788402 273 -0.231498092 0.767308479 274 -0.231651368 -0.231498092 275 -0.232348633 -0.231651368 276 -0.232739827 -0.232348633 277 -0.230091139 -0.232739827 278 0.770962281 -0.230091139 279 -0.229463582 0.770962281 280 0.771469090 -0.229463582 281 -0.228010833 0.771469090 282 -0.224860968 -0.228010833 283 -0.226970680 -0.224860968 284 -0.228778225 -0.226970680 285 -0.225930527 -0.228778225 286 0.774589549 -0.225930527 287 -0.225473073 0.774589549 288 0.775629702 -0.225473073 289 -0.219225964 0.775629702 290 0.776669855 -0.219225964 291 -0.224378362 0.776669855 292 -0.233308919 -0.224378362 293 -0.221769915 -0.233308919 294 -0.219858717 -0.221769915 295 0.775051172 -0.219858717 296 -0.220209686 0.775051172 297 0.780310390 -0.220209686 298 -0.219169533 0.780310390 299 -0.218649457 -0.219169533 300 0.782151228 -0.218649457 301 -0.215374678 0.782151228 302 -0.217089227 -0.215374678 303 0.783430849 -0.217089227 304 -0.219558600 0.783430849 305 -0.215313659 -0.219558600 306 0.784991079 -0.215313659 307 0.784509886 0.784991079 308 -0.212764212 0.784509886 309 0.786551308 -0.212764212 310 0.787071385 0.786551308 311 -0.222490898 0.787071385 312 0.788111538 -0.222490898 313 0.787145355 0.788111538 314 -0.210806652 0.787145355 315 -0.213658856 -0.210806652 316 -0.209587437 -0.213658856 317 -0.207734647 -0.209587437 318 -0.208618465 -0.207734647 319 -0.208247927 -0.208618465 320 -0.207727851 -0.208247927 321 -0.207207774 -0.207727851 322 -0.206687698 -0.207207774 323 0.793832379 -0.206687698 324 -0.205647545 0.793832379 325 -0.204661631 -0.205647545 326 0.795392608 -0.204661631 327 0.795912685 0.795392608 328 -0.203567239 0.795912685 329 -0.203047162 -0.203567239 330 -0.202527086 -0.203047162 331 -0.202007009 -0.202527086 332 -0.201486933 -0.202007009 333 -0.200737043 -0.201486933 334 -0.200400304 -0.200737043 335 -0.199926704 -0.200400304 336 -0.199125928 -0.199926704 337 -0.198886551 -0.199125928 338 -0.198432877 -0.198886551 339 -0.197140486 -0.198432877 340 -0.196187485 -0.197140486 341 -0.196806245 -0.196187485 342 -0.196286168 -0.196806245 343 -0.195766092 -0.196286168 344 -0.195246015 -0.195766092 345 -0.194725939 -0.195246015 346 -0.191867271 -0.194725939 347 -0.193685786 -0.191867271 348 -0.193165709 -0.193685786 349 -0.192645633 -0.193165709 350 -0.190957703 -0.192645633 351 -0.191452775 -0.190957703 352 -0.192341054 -0.191452775 353 -0.190539468 -0.192341054 354 -0.190045250 -0.190539468 355 -0.189525174 -0.190045250 356 -0.194749805 -0.189525174 357 -0.188485021 -0.194749805 358 -0.187964945 -0.188485021 359 -0.187444868 -0.187964945 360 -0.186826137 -0.187444868 361 -0.186404715 -0.186826137 362 -0.185884639 -0.186404715 363 0.815372913 -0.185884639 364 -0.183710733 0.815372913 365 -0.184324409 -0.183710733 366 -0.183804333 -0.184324409 367 -0.183284256 -0.183804333 368 -0.182764180 -0.183284256 369 -0.182244103 -0.182764180 370 -0.181724027 -0.182244103 371 -0.179454651 -0.181724027 372 -0.186463988 -0.179454651 373 -0.179864575 -0.186463988 374 -0.179643721 -0.179864575 375 -0.179123645 -0.179643721 376 -0.175513673 -0.179123645 377 -0.177624561 -0.175513673 378 -0.177563415 -0.177624561 379 -0.177043339 -0.177563415 380 -0.176523262 -0.177043339 381 -0.181154346 -0.176523262 382 -0.164892540 -0.181154346 383 -0.174963033 -0.164892540 384 -0.175070379 -0.174963033 385 -0.164239280 -0.175070379 386 -0.173439269 -0.164239280 387 -0.172896769 -0.173439269 388 -0.171935618 -0.172896769 389 -0.168756889 -0.171935618 390 -0.173348565 -0.168756889 391 -0.168215780 -0.173348565 392 -0.167236095 -0.168215780 393 -0.180359387 -0.167236095 394 0.829835174 -0.180359387 395 -0.164522768 0.829835174 396 -0.158690563 -0.164522768 397 0.790620458 -0.158690563 398 -0.167257816 0.790620458 399 0.865447441 -0.167257816 400 -0.172336510 0.865447441 401 -0.169701489 -0.172336510 402 -0.163193320 -0.169701489 403 0.836232488 -0.163193320 404 -0.163871057 0.836232488 405 -0.167635637 -0.163871057 406 -0.167534650 -0.167635637 407 -0.162062925 -0.167534650 408 -0.158019243 -0.162062925 409 -0.160152020 -0.158019243 410 -0.161584030 -0.160152020 411 0.838624373 -0.161584030 412 0.842740536 0.838624373 413 0.837680980 0.842740536 414 -0.161815335 0.837680980 415 -0.157875168 -0.161815335 416 -0.162088832 -0.157875168 417 0.845533149 -0.162088832 418 -0.159167317 0.845533149 419 -0.152707271 -0.159167317 420 -0.148799151 -0.152707271 421 -0.148322971 -0.148799151 422 0.909953407 -0.148322971 423 -0.101733986 0.909953407 424 -0.139569509 -0.101733986 425 0.856742644 -0.139569509 426 -0.108400138 0.856742644 427 -0.191635613 -0.108400138 428 -0.144922791 -0.191635613 429 -0.183010952 -0.144922791 430 -0.065297927 -0.183010952 431 NA -0.065297927 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] -0.008422217 -0.459227029 [2,] -0.049553429 -0.008422217 [3,] -0.202494451 -0.049553429 [4,] 0.386241923 -0.202494451 [5,] 0.346116566 0.386241923 [6,] -0.575504074 0.346116566 [7,] 0.224780223 -0.575504074 [8,] 0.510550335 0.224780223 [9,] 0.448395312 0.510550335 [10,] -0.565945185 0.448395312 [11,] -0.477138436 -0.565945185 [12,] 0.458752944 -0.477138436 [13,] -0.268205933 0.458752944 [14,] 0.520212238 -0.268205933 [15,] -0.513550934 0.520212238 [16,] -0.485328045 -0.513550934 [17,] 0.545764607 -0.485328045 [18,] 0.503340900 0.545764607 [19,] -0.406248421 0.503340900 [20,] 0.537179760 -0.406248421 [21,] 0.551851200 0.537179760 [22,] -0.452293486 0.551851200 [23,] -0.374329235 -0.452293486 [24,] -0.400009612 -0.374329235 [25,] -0.410374294 -0.400009612 [26,] 0.574413189 -0.410374294 [27,] -0.308829635 0.574413189 [28,] -0.431969845 -0.308829635 [29,] -0.385442083 -0.431969845 [30,] 0.578304632 -0.385442083 [31,] 0.579354193 0.578304632 [32,] 0.576258108 0.579354193 [33,] 0.589991073 0.576258108 [34,] -0.480089532 0.589991073 [35,] -0.388686745 -0.480089532 [36,] -0.419434060 -0.388686745 [37,] 0.574874118 -0.419434060 [38,] 0.562874704 0.574874118 [39,] -0.343384796 0.562874704 [40,] -0.358090337 -0.343384796 [41,] -0.380752128 -0.358090337 [42,] -0.384755695 -0.380752128 [43,] -0.381134489 -0.384755695 [44,] -0.364712076 -0.381134489 [45,] 0.636227813 -0.364712076 [46,] 0.572929148 0.636227813 [47,] 0.611698994 0.572929148 [48,] -0.386102764 0.611698994 [49,] -0.336213336 -0.386102764 [50,] 0.605792488 -0.336213336 [51,] 0.608976016 0.605792488 [52,] 0.593297829 0.608976016 [53,] 0.606623034 0.593297829 [54,] 0.633595390 0.606623034 [55,] -0.360686368 0.633595390 [56,] -0.374836962 -0.360686368 [57,] -0.373779951 -0.374836962 [58,] -0.356628092 -0.373779951 [59,] 0.631294242 -0.356628092 [60,] 0.620125570 0.631294242 [61,] -0.329079491 0.620125570 [62,] 0.635214747 -0.329079491 [63,] 0.646582219 0.635214747 [64,] -0.346981209 0.646582219 [65,] -0.342590568 -0.346981209 [66,] -0.329211872 -0.342590568 [67,] 0.639540563 -0.329211872 [68,] -0.370515011 0.639540563 [69,] 0.637057911 -0.370515011 [70,] 0.678604504 0.637057911 [71,] -0.345519632 0.678604504 [72,] -0.346537275 -0.345519632 [73,] -0.340521984 -0.346537275 [74,] -0.357417171 -0.340521984 [75,] 0.666922978 -0.357417171 [76,] -0.351788695 0.666922978 [77,] -0.327976021 -0.351788695 [78,] -0.339857051 -0.327976021 [79,] 0.645063516 -0.339857051 [80,] -0.336547184 0.645063516 [81,] 0.642903385 -0.336547184 [82,] -0.360261748 0.642903385 [83,] -0.323110907 -0.360261748 [84,] -0.352593013 -0.323110907 [85,] 0.660045644 -0.352593013 [86,] -0.357139236 0.660045644 [87,] -0.347027610 -0.357139236 [88,] -0.343045085 -0.347027610 [89,] -0.348876265 -0.343045085 [90,] -0.345147748 -0.348876265 [91,] 0.659422631 -0.345147748 [92,] -0.342455215 0.659422631 [93,] 0.649387484 -0.342455215 [94,] -0.326765624 0.649387484 [95,] 0.665291180 -0.326765624 [96,] -0.355911580 0.665291180 [97,] 0.671889634 -0.355911580 [98,] -0.355662345 0.671889634 [99,] 0.673116626 -0.355662345 [100,] 0.675542270 0.673116626 [101,] -0.322037993 0.675542270 [102,] -0.339821390 -0.322037993 [103,] -0.343389323 -0.339821390 [104,] -0.330263029 -0.343389323 [105,] -0.313708407 -0.330263029 [106,] 0.705121356 -0.313708407 [107,] 0.644114521 0.705121356 [108,] -0.330377929 0.644114521 [109,] 0.688164022 -0.330377929 [110,] -0.333074060 0.688164022 [111,] 0.713095179 -0.333074060 [112,] -0.304452127 0.713095179 [113,] 0.688341194 -0.304452127 [114,] 0.680252424 0.688341194 [115,] -0.318597566 0.680252424 [116,] -0.324088923 -0.318597566 [117,] -0.340503202 -0.324088923 [118,] 0.699176593 -0.340503202 [119,] -0.313514684 0.699176593 [120,] -0.344869677 -0.313514684 [121,] -0.316984722 -0.344869677 [122,] -0.323110572 -0.316984722 [123,] 0.655418911 -0.323110572 [124,] 0.694901272 0.655418911 [125,] 0.700970034 0.694901272 [126,] -0.308622687 0.700970034 [127,] -0.308009011 -0.308622687 [128,] -0.306281345 -0.308009011 [129,] -0.307062457 -0.306281345 [130,] -0.306368689 -0.307062457 [131,] -0.312988599 -0.306368689 [132,] -0.305502228 -0.312988599 [133,] -0.304728385 -0.305502228 [134,] -0.304462075 -0.304728385 [135,] -0.304928182 -0.304462075 [136,] -0.303279203 -0.304928182 [137,] -0.302901845 -0.303279203 [138,] -0.302381769 -0.302901845 [139,] -0.301861692 -0.302381769 [140,] -0.300590874 -0.301861692 [141,] -0.300821540 -0.300590874 [142,] -0.300325491 -0.300821540 [143,] -0.299844400 -0.300325491 [144,] -0.303021870 -0.299844400 [145,] -0.298051847 -0.303021870 [146,] -0.298221157 -0.298051847 [147,] -0.297552438 -0.298221157 [148,] -0.297181004 -0.297552438 [149,] -0.296764740 -0.297181004 [150,] -0.294927411 -0.296764740 [151,] -0.295830557 -0.294927411 [152,] -0.295100698 -0.295830557 [153,] -0.290983217 -0.295100698 [154,] -0.294046907 -0.290983217 [155,] -0.293540469 -0.294046907 [156,] -0.293020392 -0.293540469 [157,] -0.292886204 -0.293020392 [158,] -0.294553607 -0.292886204 [159,] -0.291460163 -0.294553607 [160,] -0.290940087 -0.291460163 [161,] -0.290420010 -0.290940087 [162,] -0.289899934 -0.290420010 [163,] -0.290212115 -0.289899934 [164,] -0.288238632 -0.290212115 [165,] -0.288339704 -0.288238632 [166,] -0.287819628 -0.288339704 [167,] -0.294170625 -0.287819628 [168,] -0.286779475 -0.294170625 [169,] -0.286259398 -0.286779475 [170,] -0.285739322 -0.286259398 [171,] -0.285176829 -0.285739322 [172,] -0.284699169 -0.285176829 [173,] -0.284894620 -0.284699169 [174,] -0.283659016 -0.284894620 [175,] -0.283005415 -0.283659016 [176,] -0.282618863 -0.283005415 [177,] 0.717805185 -0.282618863 [178,] -0.281578710 0.717805185 [179,] -0.281058634 -0.281578710 [180,] -0.292293217 -0.281058634 [181,] 0.713870601 -0.292293217 [182,] -0.279272738 0.713870601 [183,] 0.721846150 -0.279272738 [184,] 0.720684313 0.721846150 [185,] 0.721543707 0.720684313 [186,] 0.716756317 0.721543707 [187,] -0.277631785 0.716756317 [188,] -0.274675487 -0.277631785 [189,] -0.275857869 -0.274675487 [190,] -0.276183485 -0.275857869 [191,] -0.274817716 -0.276183485 [192,] -0.275428668 -0.274817716 [193,] -0.273777563 -0.275428668 [194,] -0.273290415 -0.273777563 [195,] 0.727262590 -0.273290415 [196,] 0.704772756 0.727262590 [197,] 0.728302743 0.704772756 [198,] 0.728822820 0.728302743 [199,] 0.726678503 0.728822820 [200,] 0.729862972 0.726678503 [201,] 0.730383049 0.729862972 [202,] 0.730903125 0.730383049 [203,] 0.735871747 0.730903125 [204,] 0.724818626 0.735871747 [205,] 0.732189403 0.724818626 [206,] 0.731750648 0.732189403 [207,] 0.733503508 0.731750648 [208,] 0.731181915 0.733503508 [209,] 0.734543661 0.731181915 [210,] -0.264936263 0.734543661 [211,] -0.264416186 -0.264936263 [212,] -0.262370731 -0.264416186 [213,] -0.261427137 -0.262370731 [214,] -0.263450636 -0.261427137 [215,] -0.262335880 -0.263450636 [216,] -0.261744169 -0.262335880 [217,] -0.261234823 -0.261744169 [218,] -0.260775651 -0.261234823 [219,] -0.261254860 -0.260775651 [220,] -0.255706754 -0.261254860 [221,] -0.259215422 -0.255706754 [222,] -0.258640793 -0.259215422 [223,] -0.258175269 -0.258640793 [224,] -0.257674447 -0.258175269 [225,] -0.257289373 -0.257674447 [226,] -0.256615039 -0.257289373 [227,] -0.256094963 -0.256615039 [228,] -0.255503681 -0.256094963 [229,] -0.255054810 -0.255503681 [230,] -0.254404220 -0.255054810 [231,] -0.254014657 -0.254404220 [232,] -0.253494580 -0.254014657 [233,] -0.254139807 -0.253494580 [234,] -0.252454427 -0.254139807 [235,] -0.251904819 -0.252454427 [236,] -0.251414274 -0.251904819 [237,] -0.250773486 -0.251414274 [238,] -0.250374122 -0.250773486 [239,] -0.249854045 -0.250374122 [240,] -0.249333969 -0.249854045 [241,] -0.249906823 -0.249333969 [242,] -0.248293816 -0.249906823 [243,] -0.247269035 -0.248293816 [244,] -0.254244636 -0.247269035 [245,] 0.753266414 -0.254244636 [246,] 0.753786490 0.753266414 [247,] -0.244869477 0.753786490 [248,] 0.754826643 -0.244869477 [249,] 0.755346720 0.754826643 [250,] -0.239893239 0.755346720 [251,] 0.756386873 -0.239893239 [252,] -0.242760834 0.756386873 [253,] -0.244712725 -0.242760834 [254,] -0.246665526 -0.244712725 [255,] -0.241532821 -0.246665526 [256,] -0.241383431 -0.241532821 [257,] -0.235636816 -0.241383431 [258,] 0.760027408 -0.235636816 [259,] -0.239452516 0.760027408 [260,] 0.761067561 -0.239452516 [261,] 0.761587637 0.761067561 [262,] -0.243685786 0.761587637 [263,] -0.237457634 -0.243685786 [264,] 0.763147867 -0.237457634 [265,] -0.236332057 0.763147867 [266,] 0.764188020 -0.236332057 [267,] -0.247949594 0.764188020 [268,] 0.765228173 -0.247949594 [269,] -0.237701161 0.765228173 [270,] 0.766268326 -0.237701161 [271,] 0.766788402 0.766268326 [272,] 0.767308479 0.766788402 [273,] -0.231498092 0.767308479 [274,] -0.231651368 -0.231498092 [275,] -0.232348633 -0.231651368 [276,] -0.232739827 -0.232348633 [277,] -0.230091139 -0.232739827 [278,] 0.770962281 -0.230091139 [279,] -0.229463582 0.770962281 [280,] 0.771469090 -0.229463582 [281,] -0.228010833 0.771469090 [282,] -0.224860968 -0.228010833 [283,] -0.226970680 -0.224860968 [284,] -0.228778225 -0.226970680 [285,] -0.225930527 -0.228778225 [286,] 0.774589549 -0.225930527 [287,] -0.225473073 0.774589549 [288,] 0.775629702 -0.225473073 [289,] -0.219225964 0.775629702 [290,] 0.776669855 -0.219225964 [291,] -0.224378362 0.776669855 [292,] -0.233308919 -0.224378362 [293,] -0.221769915 -0.233308919 [294,] -0.219858717 -0.221769915 [295,] 0.775051172 -0.219858717 [296,] -0.220209686 0.775051172 [297,] 0.780310390 -0.220209686 [298,] -0.219169533 0.780310390 [299,] -0.218649457 -0.219169533 [300,] 0.782151228 -0.218649457 [301,] -0.215374678 0.782151228 [302,] -0.217089227 -0.215374678 [303,] 0.783430849 -0.217089227 [304,] -0.219558600 0.783430849 [305,] -0.215313659 -0.219558600 [306,] 0.784991079 -0.215313659 [307,] 0.784509886 0.784991079 [308,] -0.212764212 0.784509886 [309,] 0.786551308 -0.212764212 [310,] 0.787071385 0.786551308 [311,] -0.222490898 0.787071385 [312,] 0.788111538 -0.222490898 [313,] 0.787145355 0.788111538 [314,] -0.210806652 0.787145355 [315,] -0.213658856 -0.210806652 [316,] -0.209587437 -0.213658856 [317,] -0.207734647 -0.209587437 [318,] -0.208618465 -0.207734647 [319,] -0.208247927 -0.208618465 [320,] -0.207727851 -0.208247927 [321,] -0.207207774 -0.207727851 [322,] -0.206687698 -0.207207774 [323,] 0.793832379 -0.206687698 [324,] -0.205647545 0.793832379 [325,] -0.204661631 -0.205647545 [326,] 0.795392608 -0.204661631 [327,] 0.795912685 0.795392608 [328,] -0.203567239 0.795912685 [329,] -0.203047162 -0.203567239 [330,] -0.202527086 -0.203047162 [331,] -0.202007009 -0.202527086 [332,] -0.201486933 -0.202007009 [333,] -0.200737043 -0.201486933 [334,] -0.200400304 -0.200737043 [335,] -0.199926704 -0.200400304 [336,] -0.199125928 -0.199926704 [337,] -0.198886551 -0.199125928 [338,] -0.198432877 -0.198886551 [339,] -0.197140486 -0.198432877 [340,] -0.196187485 -0.197140486 [341,] -0.196806245 -0.196187485 [342,] -0.196286168 -0.196806245 [343,] -0.195766092 -0.196286168 [344,] -0.195246015 -0.195766092 [345,] -0.194725939 -0.195246015 [346,] -0.191867271 -0.194725939 [347,] -0.193685786 -0.191867271 [348,] -0.193165709 -0.193685786 [349,] -0.192645633 -0.193165709 [350,] -0.190957703 -0.192645633 [351,] -0.191452775 -0.190957703 [352,] -0.192341054 -0.191452775 [353,] -0.190539468 -0.192341054 [354,] -0.190045250 -0.190539468 [355,] -0.189525174 -0.190045250 [356,] -0.194749805 -0.189525174 [357,] -0.188485021 -0.194749805 [358,] -0.187964945 -0.188485021 [359,] -0.187444868 -0.187964945 [360,] -0.186826137 -0.187444868 [361,] -0.186404715 -0.186826137 [362,] -0.185884639 -0.186404715 [363,] 0.815372913 -0.185884639 [364,] -0.183710733 0.815372913 [365,] -0.184324409 -0.183710733 [366,] -0.183804333 -0.184324409 [367,] -0.183284256 -0.183804333 [368,] -0.182764180 -0.183284256 [369,] -0.182244103 -0.182764180 [370,] -0.181724027 -0.182244103 [371,] -0.179454651 -0.181724027 [372,] -0.186463988 -0.179454651 [373,] -0.179864575 -0.186463988 [374,] -0.179643721 -0.179864575 [375,] -0.179123645 -0.179643721 [376,] -0.175513673 -0.179123645 [377,] -0.177624561 -0.175513673 [378,] -0.177563415 -0.177624561 [379,] -0.177043339 -0.177563415 [380,] -0.176523262 -0.177043339 [381,] -0.181154346 -0.176523262 [382,] -0.164892540 -0.181154346 [383,] -0.174963033 -0.164892540 [384,] -0.175070379 -0.174963033 [385,] -0.164239280 -0.175070379 [386,] -0.173439269 -0.164239280 [387,] -0.172896769 -0.173439269 [388,] -0.171935618 -0.172896769 [389,] -0.168756889 -0.171935618 [390,] -0.173348565 -0.168756889 [391,] -0.168215780 -0.173348565 [392,] -0.167236095 -0.168215780 [393,] -0.180359387 -0.167236095 [394,] 0.829835174 -0.180359387 [395,] -0.164522768 0.829835174 [396,] -0.158690563 -0.164522768 [397,] 0.790620458 -0.158690563 [398,] -0.167257816 0.790620458 [399,] 0.865447441 -0.167257816 [400,] -0.172336510 0.865447441 [401,] -0.169701489 -0.172336510 [402,] -0.163193320 -0.169701489 [403,] 0.836232488 -0.163193320 [404,] -0.163871057 0.836232488 [405,] -0.167635637 -0.163871057 [406,] -0.167534650 -0.167635637 [407,] -0.162062925 -0.167534650 [408,] -0.158019243 -0.162062925 [409,] -0.160152020 -0.158019243 [410,] -0.161584030 -0.160152020 [411,] 0.838624373 -0.161584030 [412,] 0.842740536 0.838624373 [413,] 0.837680980 0.842740536 [414,] -0.161815335 0.837680980 [415,] -0.157875168 -0.161815335 [416,] -0.162088832 -0.157875168 [417,] 0.845533149 -0.162088832 [418,] -0.159167317 0.845533149 [419,] -0.152707271 -0.159167317 [420,] -0.148799151 -0.152707271 [421,] -0.148322971 -0.148799151 [422,] 0.909953407 -0.148322971 [423,] -0.101733986 0.909953407 [424,] -0.139569509 -0.101733986 [425,] 0.856742644 -0.139569509 [426,] -0.108400138 0.856742644 [427,] -0.191635613 -0.108400138 [428,] -0.144922791 -0.191635613 [429,] -0.183010952 -0.144922791 [430,] -0.065297927 -0.183010952 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 -0.008422217 -0.459227029 2 -0.049553429 -0.008422217 3 -0.202494451 -0.049553429 4 0.386241923 -0.202494451 5 0.346116566 0.386241923 6 -0.575504074 0.346116566 7 0.224780223 -0.575504074 8 0.510550335 0.224780223 9 0.448395312 0.510550335 10 -0.565945185 0.448395312 11 -0.477138436 -0.565945185 12 0.458752944 -0.477138436 13 -0.268205933 0.458752944 14 0.520212238 -0.268205933 15 -0.513550934 0.520212238 16 -0.485328045 -0.513550934 17 0.545764607 -0.485328045 18 0.503340900 0.545764607 19 -0.406248421 0.503340900 20 0.537179760 -0.406248421 21 0.551851200 0.537179760 22 -0.452293486 0.551851200 23 -0.374329235 -0.452293486 24 -0.400009612 -0.374329235 25 -0.410374294 -0.400009612 26 0.574413189 -0.410374294 27 -0.308829635 0.574413189 28 -0.431969845 -0.308829635 29 -0.385442083 -0.431969845 30 0.578304632 -0.385442083 31 0.579354193 0.578304632 32 0.576258108 0.579354193 33 0.589991073 0.576258108 34 -0.480089532 0.589991073 35 -0.388686745 -0.480089532 36 -0.419434060 -0.388686745 37 0.574874118 -0.419434060 38 0.562874704 0.574874118 39 -0.343384796 0.562874704 40 -0.358090337 -0.343384796 41 -0.380752128 -0.358090337 42 -0.384755695 -0.380752128 43 -0.381134489 -0.384755695 44 -0.364712076 -0.381134489 45 0.636227813 -0.364712076 46 0.572929148 0.636227813 47 0.611698994 0.572929148 48 -0.386102764 0.611698994 49 -0.336213336 -0.386102764 50 0.605792488 -0.336213336 51 0.608976016 0.605792488 52 0.593297829 0.608976016 53 0.606623034 0.593297829 54 0.633595390 0.606623034 55 -0.360686368 0.633595390 56 -0.374836962 -0.360686368 57 -0.373779951 -0.374836962 58 -0.356628092 -0.373779951 59 0.631294242 -0.356628092 60 0.620125570 0.631294242 61 -0.329079491 0.620125570 62 0.635214747 -0.329079491 63 0.646582219 0.635214747 64 -0.346981209 0.646582219 65 -0.342590568 -0.346981209 66 -0.329211872 -0.342590568 67 0.639540563 -0.329211872 68 -0.370515011 0.639540563 69 0.637057911 -0.370515011 70 0.678604504 0.637057911 71 -0.345519632 0.678604504 72 -0.346537275 -0.345519632 73 -0.340521984 -0.346537275 74 -0.357417171 -0.340521984 75 0.666922978 -0.357417171 76 -0.351788695 0.666922978 77 -0.327976021 -0.351788695 78 -0.339857051 -0.327976021 79 0.645063516 -0.339857051 80 -0.336547184 0.645063516 81 0.642903385 -0.336547184 82 -0.360261748 0.642903385 83 -0.323110907 -0.360261748 84 -0.352593013 -0.323110907 85 0.660045644 -0.352593013 86 -0.357139236 0.660045644 87 -0.347027610 -0.357139236 88 -0.343045085 -0.347027610 89 -0.348876265 -0.343045085 90 -0.345147748 -0.348876265 91 0.659422631 -0.345147748 92 -0.342455215 0.659422631 93 0.649387484 -0.342455215 94 -0.326765624 0.649387484 95 0.665291180 -0.326765624 96 -0.355911580 0.665291180 97 0.671889634 -0.355911580 98 -0.355662345 0.671889634 99 0.673116626 -0.355662345 100 0.675542270 0.673116626 101 -0.322037993 0.675542270 102 -0.339821390 -0.322037993 103 -0.343389323 -0.339821390 104 -0.330263029 -0.343389323 105 -0.313708407 -0.330263029 106 0.705121356 -0.313708407 107 0.644114521 0.705121356 108 -0.330377929 0.644114521 109 0.688164022 -0.330377929 110 -0.333074060 0.688164022 111 0.713095179 -0.333074060 112 -0.304452127 0.713095179 113 0.688341194 -0.304452127 114 0.680252424 0.688341194 115 -0.318597566 0.680252424 116 -0.324088923 -0.318597566 117 -0.340503202 -0.324088923 118 0.699176593 -0.340503202 119 -0.313514684 0.699176593 120 -0.344869677 -0.313514684 121 -0.316984722 -0.344869677 122 -0.323110572 -0.316984722 123 0.655418911 -0.323110572 124 0.694901272 0.655418911 125 0.700970034 0.694901272 126 -0.308622687 0.700970034 127 -0.308009011 -0.308622687 128 -0.306281345 -0.308009011 129 -0.307062457 -0.306281345 130 -0.306368689 -0.307062457 131 -0.312988599 -0.306368689 132 -0.305502228 -0.312988599 133 -0.304728385 -0.305502228 134 -0.304462075 -0.304728385 135 -0.304928182 -0.304462075 136 -0.303279203 -0.304928182 137 -0.302901845 -0.303279203 138 -0.302381769 -0.302901845 139 -0.301861692 -0.302381769 140 -0.300590874 -0.301861692 141 -0.300821540 -0.300590874 142 -0.300325491 -0.300821540 143 -0.299844400 -0.300325491 144 -0.303021870 -0.299844400 145 -0.298051847 -0.303021870 146 -0.298221157 -0.298051847 147 -0.297552438 -0.298221157 148 -0.297181004 -0.297552438 149 -0.296764740 -0.297181004 150 -0.294927411 -0.296764740 151 -0.295830557 -0.294927411 152 -0.295100698 -0.295830557 153 -0.290983217 -0.295100698 154 -0.294046907 -0.290983217 155 -0.293540469 -0.294046907 156 -0.293020392 -0.293540469 157 -0.292886204 -0.293020392 158 -0.294553607 -0.292886204 159 -0.291460163 -0.294553607 160 -0.290940087 -0.291460163 161 -0.290420010 -0.290940087 162 -0.289899934 -0.290420010 163 -0.290212115 -0.289899934 164 -0.288238632 -0.290212115 165 -0.288339704 -0.288238632 166 -0.287819628 -0.288339704 167 -0.294170625 -0.287819628 168 -0.286779475 -0.294170625 169 -0.286259398 -0.286779475 170 -0.285739322 -0.286259398 171 -0.285176829 -0.285739322 172 -0.284699169 -0.285176829 173 -0.284894620 -0.284699169 174 -0.283659016 -0.284894620 175 -0.283005415 -0.283659016 176 -0.282618863 -0.283005415 177 0.717805185 -0.282618863 178 -0.281578710 0.717805185 179 -0.281058634 -0.281578710 180 -0.292293217 -0.281058634 181 0.713870601 -0.292293217 182 -0.279272738 0.713870601 183 0.721846150 -0.279272738 184 0.720684313 0.721846150 185 0.721543707 0.720684313 186 0.716756317 0.721543707 187 -0.277631785 0.716756317 188 -0.274675487 -0.277631785 189 -0.275857869 -0.274675487 190 -0.276183485 -0.275857869 191 -0.274817716 -0.276183485 192 -0.275428668 -0.274817716 193 -0.273777563 -0.275428668 194 -0.273290415 -0.273777563 195 0.727262590 -0.273290415 196 0.704772756 0.727262590 197 0.728302743 0.704772756 198 0.728822820 0.728302743 199 0.726678503 0.728822820 200 0.729862972 0.726678503 201 0.730383049 0.729862972 202 0.730903125 0.730383049 203 0.735871747 0.730903125 204 0.724818626 0.735871747 205 0.732189403 0.724818626 206 0.731750648 0.732189403 207 0.733503508 0.731750648 208 0.731181915 0.733503508 209 0.734543661 0.731181915 210 -0.264936263 0.734543661 211 -0.264416186 -0.264936263 212 -0.262370731 -0.264416186 213 -0.261427137 -0.262370731 214 -0.263450636 -0.261427137 215 -0.262335880 -0.263450636 216 -0.261744169 -0.262335880 217 -0.261234823 -0.261744169 218 -0.260775651 -0.261234823 219 -0.261254860 -0.260775651 220 -0.255706754 -0.261254860 221 -0.259215422 -0.255706754 222 -0.258640793 -0.259215422 223 -0.258175269 -0.258640793 224 -0.257674447 -0.258175269 225 -0.257289373 -0.257674447 226 -0.256615039 -0.257289373 227 -0.256094963 -0.256615039 228 -0.255503681 -0.256094963 229 -0.255054810 -0.255503681 230 -0.254404220 -0.255054810 231 -0.254014657 -0.254404220 232 -0.253494580 -0.254014657 233 -0.254139807 -0.253494580 234 -0.252454427 -0.254139807 235 -0.251904819 -0.252454427 236 -0.251414274 -0.251904819 237 -0.250773486 -0.251414274 238 -0.250374122 -0.250773486 239 -0.249854045 -0.250374122 240 -0.249333969 -0.249854045 241 -0.249906823 -0.249333969 242 -0.248293816 -0.249906823 243 -0.247269035 -0.248293816 244 -0.254244636 -0.247269035 245 0.753266414 -0.254244636 246 0.753786490 0.753266414 247 -0.244869477 0.753786490 248 0.754826643 -0.244869477 249 0.755346720 0.754826643 250 -0.239893239 0.755346720 251 0.756386873 -0.239893239 252 -0.242760834 0.756386873 253 -0.244712725 -0.242760834 254 -0.246665526 -0.244712725 255 -0.241532821 -0.246665526 256 -0.241383431 -0.241532821 257 -0.235636816 -0.241383431 258 0.760027408 -0.235636816 259 -0.239452516 0.760027408 260 0.761067561 -0.239452516 261 0.761587637 0.761067561 262 -0.243685786 0.761587637 263 -0.237457634 -0.243685786 264 0.763147867 -0.237457634 265 -0.236332057 0.763147867 266 0.764188020 -0.236332057 267 -0.247949594 0.764188020 268 0.765228173 -0.247949594 269 -0.237701161 0.765228173 270 0.766268326 -0.237701161 271 0.766788402 0.766268326 272 0.767308479 0.766788402 273 -0.231498092 0.767308479 274 -0.231651368 -0.231498092 275 -0.232348633 -0.231651368 276 -0.232739827 -0.232348633 277 -0.230091139 -0.232739827 278 0.770962281 -0.230091139 279 -0.229463582 0.770962281 280 0.771469090 -0.229463582 281 -0.228010833 0.771469090 282 -0.224860968 -0.228010833 283 -0.226970680 -0.224860968 284 -0.228778225 -0.226970680 285 -0.225930527 -0.228778225 286 0.774589549 -0.225930527 287 -0.225473073 0.774589549 288 0.775629702 -0.225473073 289 -0.219225964 0.775629702 290 0.776669855 -0.219225964 291 -0.224378362 0.776669855 292 -0.233308919 -0.224378362 293 -0.221769915 -0.233308919 294 -0.219858717 -0.221769915 295 0.775051172 -0.219858717 296 -0.220209686 0.775051172 297 0.780310390 -0.220209686 298 -0.219169533 0.780310390 299 -0.218649457 -0.219169533 300 0.782151228 -0.218649457 301 -0.215374678 0.782151228 302 -0.217089227 -0.215374678 303 0.783430849 -0.217089227 304 -0.219558600 0.783430849 305 -0.215313659 -0.219558600 306 0.784991079 -0.215313659 307 0.784509886 0.784991079 308 -0.212764212 0.784509886 309 0.786551308 -0.212764212 310 0.787071385 0.786551308 311 -0.222490898 0.787071385 312 0.788111538 -0.222490898 313 0.787145355 0.788111538 314 -0.210806652 0.787145355 315 -0.213658856 -0.210806652 316 -0.209587437 -0.213658856 317 -0.207734647 -0.209587437 318 -0.208618465 -0.207734647 319 -0.208247927 -0.208618465 320 -0.207727851 -0.208247927 321 -0.207207774 -0.207727851 322 -0.206687698 -0.207207774 323 0.793832379 -0.206687698 324 -0.205647545 0.793832379 325 -0.204661631 -0.205647545 326 0.795392608 -0.204661631 327 0.795912685 0.795392608 328 -0.203567239 0.795912685 329 -0.203047162 -0.203567239 330 -0.202527086 -0.203047162 331 -0.202007009 -0.202527086 332 -0.201486933 -0.202007009 333 -0.200737043 -0.201486933 334 -0.200400304 -0.200737043 335 -0.199926704 -0.200400304 336 -0.199125928 -0.199926704 337 -0.198886551 -0.199125928 338 -0.198432877 -0.198886551 339 -0.197140486 -0.198432877 340 -0.196187485 -0.197140486 341 -0.196806245 -0.196187485 342 -0.196286168 -0.196806245 343 -0.195766092 -0.196286168 344 -0.195246015 -0.195766092 345 -0.194725939 -0.195246015 346 -0.191867271 -0.194725939 347 -0.193685786 -0.191867271 348 -0.193165709 -0.193685786 349 -0.192645633 -0.193165709 350 -0.190957703 -0.192645633 351 -0.191452775 -0.190957703 352 -0.192341054 -0.191452775 353 -0.190539468 -0.192341054 354 -0.190045250 -0.190539468 355 -0.189525174 -0.190045250 356 -0.194749805 -0.189525174 357 -0.188485021 -0.194749805 358 -0.187964945 -0.188485021 359 -0.187444868 -0.187964945 360 -0.186826137 -0.187444868 361 -0.186404715 -0.186826137 362 -0.185884639 -0.186404715 363 0.815372913 -0.185884639 364 -0.183710733 0.815372913 365 -0.184324409 -0.183710733 366 -0.183804333 -0.184324409 367 -0.183284256 -0.183804333 368 -0.182764180 -0.183284256 369 -0.182244103 -0.182764180 370 -0.181724027 -0.182244103 371 -0.179454651 -0.181724027 372 -0.186463988 -0.179454651 373 -0.179864575 -0.186463988 374 -0.179643721 -0.179864575 375 -0.179123645 -0.179643721 376 -0.175513673 -0.179123645 377 -0.177624561 -0.175513673 378 -0.177563415 -0.177624561 379 -0.177043339 -0.177563415 380 -0.176523262 -0.177043339 381 -0.181154346 -0.176523262 382 -0.164892540 -0.181154346 383 -0.174963033 -0.164892540 384 -0.175070379 -0.174963033 385 -0.164239280 -0.175070379 386 -0.173439269 -0.164239280 387 -0.172896769 -0.173439269 388 -0.171935618 -0.172896769 389 -0.168756889 -0.171935618 390 -0.173348565 -0.168756889 391 -0.168215780 -0.173348565 392 -0.167236095 -0.168215780 393 -0.180359387 -0.167236095 394 0.829835174 -0.180359387 395 -0.164522768 0.829835174 396 -0.158690563 -0.164522768 397 0.790620458 -0.158690563 398 -0.167257816 0.790620458 399 0.865447441 -0.167257816 400 -0.172336510 0.865447441 401 -0.169701489 -0.172336510 402 -0.163193320 -0.169701489 403 0.836232488 -0.163193320 404 -0.163871057 0.836232488 405 -0.167635637 -0.163871057 406 -0.167534650 -0.167635637 407 -0.162062925 -0.167534650 408 -0.158019243 -0.162062925 409 -0.160152020 -0.158019243 410 -0.161584030 -0.160152020 411 0.838624373 -0.161584030 412 0.842740536 0.838624373 413 0.837680980 0.842740536 414 -0.161815335 0.837680980 415 -0.157875168 -0.161815335 416 -0.162088832 -0.157875168 417 0.845533149 -0.162088832 418 -0.159167317 0.845533149 419 -0.152707271 -0.159167317 420 -0.148799151 -0.152707271 421 -0.148322971 -0.148799151 422 0.909953407 -0.148322971 423 -0.101733986 0.909953407 424 -0.139569509 -0.101733986 425 0.856742644 -0.139569509 426 -0.108400138 0.856742644 427 -0.191635613 -0.108400138 428 -0.144922791 -0.191635613 429 -0.183010952 -0.144922791 430 -0.065297927 -0.183010952 > 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/rcomp/tmp/7tsa11291362742.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/8429l1291362742.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/9429l1291362742.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) > plot(mylm, las = 1, sub='Residual Diagnostics') > par(opar) > dev.off() null device 1 > if (n > n25) { + postscript(file="/var/www/html/rcomp/tmp/10429l1291362742.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') + grid() + dev.off() + } null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) > a<-table.row.end(a) > myeq <- colnames(x)[1] > myeq <- paste(myeq, '[t] = ', sep='') > for (i in 1:k){ + if (mysum$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/rcomp/tmp/11iupv1291362742.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/rcomp/tmp/12blof1291362742.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/rcomp/tmp/13zm3r1291362742.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/rcomp/tmp/14avku1291362742.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/rcomp/tmp/15dwj01291362742.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/rcomp/tmp/16rnh91291362742.tab") + } > > try(system("convert tmp/1x09i1291362741.ps tmp/1x09i1291362741.png",intern=TRUE)) character(0) > try(system("convert tmp/2x09i1291362741.ps tmp/2x09i1291362741.png",intern=TRUE)) character(0) > try(system("convert tmp/3x09i1291362741.ps tmp/3x09i1291362741.png",intern=TRUE)) character(0) > try(system("convert tmp/4q9831291362741.ps tmp/4q9831291362741.png",intern=TRUE)) character(0) > try(system("convert tmp/5q9831291362741.ps tmp/5q9831291362741.png",intern=TRUE)) character(0) > try(system("convert tmp/6q9831291362741.ps tmp/6q9831291362741.png",intern=TRUE)) character(0) > try(system("convert tmp/7tsa11291362742.ps tmp/7tsa11291362742.png",intern=TRUE)) character(0) > try(system("convert tmp/8429l1291362742.ps tmp/8429l1291362742.png",intern=TRUE)) character(0) > try(system("convert tmp/9429l1291362742.ps tmp/9429l1291362742.png",intern=TRUE)) character(0) > try(system("convert tmp/10429l1291362742.ps tmp/10429l1291362742.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 12.437 2.253 25.585