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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,448243 + ,1920 + ,79420 + ,152486400 + ,165404 + ,965 + ,73490 + ,70917850 + ,204325 + ,3256 + ,35250 + ,114774000 + ,407159 + ,1135 + ,62285 + ,70693475 + ,290476 + ,1270 + ,69206 + ,87891620 + ,275311 + ,661 + ,65920 + ,43573120 + ,246541 + ,1013 + ,69770 + ,70677010 + ,253468 + ,2844 + ,72683 + ,206710452 + ,240897 + ,11528 + ,-14545 + ,-167674760 + ,-83265 + ,6526 + ,55830 + ,364346580 + ,-42143 + ,2264 + ,55174 + ,124913936 + ,272713 + ,5109 + ,67038 + ,342497142 + ,215362 + ,3999 + ,51252 + ,204956748 + ,42754 + ,35624 + ,157278 + ,5602871472 + ,306275 + ,9252 + ,79510 + ,735626520 + ,253537 + ,15236 + ,77440 + ,1179875840 + ,372631 + ,18073 + ,27284 + ,493103732 + ,-7170) + ,dim=c(4 + ,431) + ,dimnames=list(c('Costs' + ,'Dividends' + ,'C_D' + ,'Wealth ') + ,1:431)) > y <- array(NA,dim=c(4,431),dimnames=list(c('Costs','Dividends','C_D','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 = 'No Linear Trend' > par2 = 'Do not include Seasonal Dummies' > par1 = '4' > #'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 Wealth\r Costs Dividends C_D 1 6282154 162556 213118 34643609608 2 4321023 29790 81767 2435838930 3 4111912 87550 153198 13412484900 4 223193 84738 -26007 -2203781166 5 1491348 54660 126942 6938649720 6 1629616 42634 157214 6702661676 7 1398893 40949 129352 5296835048 8 1926517 45187 234817 10610675779 9 983660 37704 60448 2279131392 10 1443586 16275 47818 778237950 11 1073089 25830 245546 6342453180 12 984885 12679 48020 608845580 13 1405225 18014 -1710 -30803940 14 227132 43556 32648 1422016288 15 929118 24811 95350 2365728850 16 1071292 6575 151352 995139400 17 638830 7123 288170 2052634910 18 856956 21950 114337 2509697150 19 992426 37597 37884 1424324748 20 444477 17821 122844 2189202924 21 857217 12988 82340 1069431920 22 711969 22330 79801 1781956330 23 702380 13326 165548 2206092648 24 358589 16189 116384 1884140576 25 297978 7146 134028 957764088 26 585715 15824 63838 1010172512 27 657954 27664 74996 2074689344 28 209458 11920 31080 370473600 29 786690 8568 32168 275615424 30 439798 14416 49857 718738512 31 688779 3369 87161 293645409 32 574339 11819 106113 1254149547 33 741409 6984 80570 562700880 34 597793 4519 102129 461520951 35 644190 2220 301670 669707400 36 377934 18562 102313 1899133906 37 640273 10327 88577 914734679 38 697458 5336 112477 600177272 39 550608 2365 191778 453554970 40 207393 4069 79804 324722476 41 301607 8636 128294 1107946984 42 345783 13718 96448 1323073664 43 501749 4525 93811 424494775 44 379983 6869 117520 807244880 45 387475 4628 69159 320067852 46 377305 3689 101792 375510688 47 370837 4891 210568 1029888088 48 430866 7489 136996 1025963044 49 469107 4901 121920 597529920 50 194493 2284 76403 174504452 51 530670 3160 108094 341577040 52 518365 4150 134759 559249850 53 491303 7285 188873 1375939805 54 527021 1134 146216 165808944 55 233773 4658 156608 729480064 56 405972 2384 61348 146253632 57 652925 3748 50350 188711800 58 446211 5371 87720 471144120 59 341340 1285 99489 127843365 60 387699 9327 87419 815357013 61 493408 5565 94355 525085575 62 146494 1528 60326 92178128 63 414462 3122 94670 295559740 64 364304 7561 82425 623215425 65 355178 2675 59017 157870475 66 357760 13253 90829 1203756737 67 261216 880 80791 71096080 68 397144 2053 100423 206168419 69 374943 1424 131116 186709184 70 424898 4036 100269 404685684 71 202055 3045 27330 83219850 72 378525 5119 39039 199840641 73 310768 1431 106885 152952435 74 325738 554 79285 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60720 0 376 315380 0 60720 0 377 295370 121 56178 6797538 378 322340 607 60436 36684652 379 319864 2212 60720 134312640 380 315380 0 60720 0 381 315380 0 60720 0 382 317291 530 73433 38919490 383 280398 571 41477 23683367 384 315380 0 60720 0 385 317330 78 62700 4890600 386 238125 2489 67804 168764156 387 327071 131 59661 7815591 388 309038 923 58620 54106260 389 314210 72 60398 4348656 390 307930 572 58580 33507760 391 322327 397 62710 24895870 392 292136 450 59325 26696250 393 263276 622 60950 37910900 394 367655 694 68060 47233640 395 283910 3425 83620 286398500 396 283587 562 58456 32852272 397 243650 4917 52811 259671687 398 438493 1442 121173 174731466 399 296261 529 63870 33787230 400 230621 2126 21001 44648126 401 304252 1061 70415 74710315 402 333505 776 64230 49842480 403 296919 611 59190 36165090 404 278990 1526 69351 105829626 405 276898 592 64270 38047840 406 327007 1182 70694 83560308 407 317046 621 68005 42231105 408 304555 989 58930 58281770 409 298096 438 58320 25544160 410 231861 726 69980 50805480 411 309422 1303 69863 91031489 412 286963 7419 63255 469288845 413 269753 1164 57320 66720480 414 448243 3310 75230 249011300 415 165404 1920 79420 152486400 416 204325 965 73490 70917850 417 407159 3256 35250 114774000 418 290476 1135 62285 70693475 419 275311 1270 69206 87891620 420 246541 661 65920 43573120 421 253468 1013 69770 70677010 422 240897 2844 72683 206710452 423 -83265 11528 -14545 -167674760 424 -42143 6526 55830 364346580 425 272713 2264 55174 124913936 426 215362 5109 67038 342497142 427 42754 3999 51252 204956748 428 306275 35624 157278 5602871472 429 253537 9252 79510 735626520 430 372631 15236 77440 1179875840 431 -7170 18073 27284 493103732 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) Costs Dividends C_D 3.109e+05 8.950e+00 -5.554e-02 1.382e-04 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -1089227 -15812 7886 7886 3411356 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 3.109e+05 2.933e+04 10.598 < 2e-16 *** Costs 8.950e+00 1.791e+00 4.997 8.49e-07 *** Dividends -5.554e-02 3.826e-01 -0.145 0.885 C_D 1.382e-04 1.138e-05 12.144 < 2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 220700 on 427 degrees of freedom Multiple R-squared: 0.739, Adjusted R-squared: 0.7372 F-statistic: 403.1 on 3 and 427 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,] 1.0000000 7.558739e-55 3.779370e-55 [2,] 1.0000000 1.634946e-59 8.174728e-60 [3,] 1.0000000 3.024277e-79 1.512138e-79 [4,] 1.0000000 4.762220e-93 2.381110e-93 [5,] 1.0000000 3.753788e-94 1.876894e-94 [6,] 1.0000000 3.630726e-102 1.815363e-102 [7,] 1.0000000 1.268983e-117 6.344917e-118 [8,] 1.0000000 2.504837e-129 1.252418e-129 [9,] 1.0000000 2.276825e-132 1.138412e-132 [10,] 1.0000000 8.948970e-140 4.474485e-140 [11,] 1.0000000 6.240380e-139 3.120190e-139 [12,] 1.0000000 1.918912e-142 9.594560e-143 [13,] 1.0000000 8.871789e-146 4.435895e-146 [14,] 1.0000000 6.379859e-148 3.189929e-148 [15,] 1.0000000 1.526249e-153 7.631243e-154 [16,] 1.0000000 1.205595e-156 6.027975e-157 [17,] 1.0000000 1.164456e-157 5.822281e-158 [18,] 1.0000000 2.697554e-159 1.348777e-159 [19,] 1.0000000 4.650409e-160 2.325205e-160 [20,] 1.0000000 8.462954e-162 4.231477e-162 [21,] 1.0000000 5.562963e-165 2.781481e-165 [22,] 1.0000000 8.265555e-167 4.132777e-167 [23,] 1.0000000 1.674151e-176 8.370754e-177 [24,] 1.0000000 8.793400e-178 4.396700e-178 [25,] 1.0000000 5.965908e-182 2.982954e-182 [26,] 1.0000000 2.487706e-183 1.243853e-183 [27,] 1.0000000 2.447110e-191 1.223555e-191 [28,] 1.0000000 2.205342e-193 1.102671e-193 [29,] 1.0000000 3.531335e-193 1.765667e-193 [30,] 1.0000000 8.341821e-194 4.170910e-194 [31,] 1.0000000 2.350140e-199 1.175070e-199 [32,] 1.0000000 2.427829e-205 1.213914e-205 [33,] 1.0000000 1.700204e-204 8.501019e-205 [34,] 1.0000000 3.727426e-205 1.863713e-205 [35,] 1.0000000 3.345291e-205 1.672646e-205 [36,] 1.0000000 3.585482e-205 1.792741e-205 [37,] 1.0000000 5.042446e-206 2.521223e-206 [38,] 1.0000000 3.112342e-205 1.556171e-205 [39,] 1.0000000 5.741230e-205 2.870615e-205 [40,] 1.0000000 4.480651e-204 2.240325e-204 [41,] 1.0000000 6.860258e-205 3.430129e-205 [42,] 1.0000000 5.184691e-204 2.592346e-204 [43,] 1.0000000 1.713328e-203 8.566640e-204 [44,] 1.0000000 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5.533836e-21 [360,] 1.0000000 3.624978e-20 1.812489e-20 [361,] 1.0000000 1.176011e-19 5.880053e-20 [362,] 1.0000000 3.778459e-19 1.889229e-19 [363,] 1.0000000 1.202138e-18 6.010691e-19 [364,] 1.0000000 3.757288e-18 1.878644e-18 [365,] 1.0000000 1.171640e-17 5.858201e-18 [366,] 1.0000000 3.408895e-17 1.704447e-17 [367,] 1.0000000 1.050848e-16 5.254238e-17 [368,] 1.0000000 3.248350e-16 1.624175e-16 [369,] 1.0000000 9.722489e-16 4.861245e-16 [370,] 1.0000000 2.878293e-15 1.439146e-15 [371,] 1.0000000 8.598528e-15 4.299264e-15 [372,] 1.0000000 2.357267e-14 1.178634e-14 [373,] 1.0000000 5.835260e-14 2.917630e-14 [374,] 1.0000000 1.654031e-13 8.270153e-14 [375,] 1.0000000 4.632287e-13 2.316144e-13 [376,] 1.0000000 1.319653e-12 6.598263e-13 [377,] 1.0000000 3.516607e-12 1.758304e-12 [378,] 1.0000000 9.485563e-12 4.742781e-12 [379,] 1.0000000 2.532512e-11 1.266256e-11 [380,] 1.0000000 6.061433e-11 3.030716e-11 [381,] 1.0000000 1.492052e-10 7.460262e-11 [382,] 1.0000000 3.743283e-10 1.871641e-10 [383,] 1.0000000 9.495643e-10 4.747822e-10 [384,] 1.0000000 2.353804e-09 1.176902e-09 [385,] 1.0000000 5.656970e-09 2.828485e-09 [386,] 1.0000000 1.424074e-08 7.120370e-09 [387,] 1.0000000 3.504551e-08 1.752275e-08 [388,] 1.0000000 6.521758e-08 3.260879e-08 [389,] 0.9999999 1.564404e-07 7.822018e-08 [390,] 0.9999998 3.764172e-07 1.882086e-07 [391,] 0.9999996 8.549540e-07 4.274770e-07 [392,] 0.9999991 1.786796e-06 8.933981e-07 [393,] 0.9999979 4.106415e-06 2.053208e-06 [394,] 0.9999958 8.340300e-06 4.170150e-06 [395,] 0.9999907 1.855249e-05 9.276247e-06 [396,] 0.9999820 3.604372e-05 1.802186e-05 [397,] 0.9999624 7.529082e-05 3.764541e-05 [398,] 0.9999197 1.605082e-04 8.025408e-05 [399,] 0.9998323 3.353303e-04 1.676652e-04 [400,] 0.9996773 6.454466e-04 3.227233e-04 [401,] 0.9993797 1.240696e-03 6.203481e-04 [402,] 0.9988706 2.258706e-03 1.129353e-03 [403,] 0.9979484 4.103177e-03 2.051589e-03 [404,] 0.9963258 7.348326e-03 3.674163e-03 [405,] 0.9934303 1.313937e-02 6.569685e-03 [406,] 0.9897730 2.045392e-02 1.022696e-02 [407,] 0.9823029 3.539422e-02 1.769711e-02 [408,] 0.9861369 2.772617e-02 1.386308e-02 [409,] 0.9803969 3.920630e-02 1.960315e-02 [410,] 0.9684618 6.307648e-02 3.153824e-02 [411,] 0.9945327 1.093459e-02 5.467297e-03 [412,] 0.9907649 1.847019e-02 9.235095e-03 [413,] 0.9808068 3.838647e-02 1.919323e-02 [414,] 0.9610995 7.780094e-02 3.890047e-02 [415,] 0.9235743 1.528513e-01 7.642566e-02 [416,] 0.8551765 2.896469e-01 1.448235e-01 [417,] 0.8224317 3.551366e-01 1.775683e-01 [418,] 0.8561185 2.877631e-01 1.438815e-01 > postscript(file="/var/www/html/rcomp/tmp/12hau1292955824.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$resid) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/22hau1292955824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$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/3v89f1292955824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4v89f1292955824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5v89f1292955824.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 -2.608799e+05 3.411356e+06 1.171853e+06 -5.428272e+05 -2.608628e+05 6 7 8 9 10 1.933686e+04 -3.509149e+03 -2.425525e+05 2.364602e+04 8.821366e+05 11 12 13 14 15 -3.321008e+05 4.790465e+05 9.373054e+05 -6.683091e+05 7.445716e+04 16 17 18 19 20 5.724179e+05 -3.540487e+03 9.051730e+03 1.502868e+05 -3.216965e+05 21 22 23 24 25 2.868466e+05 -4.064967e+04 -2.352861e+04 -3.511651e+05 -2.018015e+05 26 27 28 29 30 -2.871585e+03 -1.831363e+05 -2.575756e+05 3.628291e+05 -9.667566e+04 31 32 33 34 35 3.120082e+05 -9.784852e+03 2.947249e+05 1.883540e+05 2.376275e+05 36 37 38 39 40 -3.559115e+05 1.154494e+05 2.621138e+05 1.665263e+05 -1.803472e+05 41 42 43 44 45 -2.325873e+05 -2.654010e+05 9.691298e+04 -9.742618e+04 -5.215692e+03 46 47 48 49 50 -1.283432e+04 -1.144812e+05 -8.124632e+04 3.854628e+04 -1.566947e+05 51 52 53 54 55 1.503060e+05 1.005303e+05 -6.448411e+04 1.912044e+05 -2.109276e+05 56 57 58 59 60 5.695869e+04 2.852243e+05 2.701651e+04 6.825481e+03 -1.145012e+05 61 62 63 64 65 6.538881e+04 -1.874398e+05 4.005412e+04 -9.580666e+04 1.824990e+03 66 67 68 69 70 -2.330799e+05 -6.286751e+04 4.498030e+04 3.280319e+04 2.753540e+04 71 72 73 74 75 -1.460492e+05 -3.612186e+03 -2.811354e+04 8.244743e+03 4.011274e+04 76 77 78 79 80 -9.423110e+04 3.847241e+04 -8.553179e+04 -1.837766e+04 1.870321e+04 81 82 83 84 85 1.592131e+04 2.028738e+04 2.503243e+04 -1.852851e+04 6.045534e+04 86 87 88 89 90 -5.147537e+04 7.445046e+04 3.654182e+04 -4.602990e+04 6.791020e+04 91 92 93 94 95 4.344371e+04 1.205713e+04 1.051645e+05 -1.120634e+05 2.316142e+04 96 97 98 99 100 1.633573e+04 1.178379e+05 -2.796317e+03 3.084612e+04 -1.528409e+04 101 102 103 104 105 -2.366499e+04 -9.163387e+04 -8.620064e+04 -4.688865e+03 3.003454e+04 106 107 108 109 110 -5.128738e+04 -2.371219e+05 1.594284e+05 -1.143577e+05 -9.369199e+04 111 112 113 114 115 8.462011e+04 -2.032839e+05 -1.209303e+05 -6.322223e+04 4.690003e+04 116 117 118 119 120 1.056765e+04 1.827586e+04 8.947695e+04 -1.361990e+05 -6.355304e+03 121 122 123 124 125 -1.855450e+05 1.119938e+04 1.558382e+04 1.359708e+05 -1.027438e+03 126 127 128 129 130 -1.534732e+05 7.885890e+03 5.411699e+03 3.250702e+03 7.885890e+03 131 132 133 134 135 6.264633e+03 3.574508e+04 7.885890e+03 4.614398e+03 -6.605722e+03 136 137 138 139 140 2.031769e+03 9.423296e+03 7.306172e+03 -8.138305e+03 7.885890e+03 141 142 143 144 145 1.126219e+04 7.885890e+03 -2.597494e+04 7.724318e+03 1.429069e+04 146 147 148 149 150 -2.892442e+01 7.885890e+03 7.343041e+03 1.305478e+04 8.155946e+03 151 152 153 154 155 -2.482893e+04 -3.211069e+04 7.885890e+03 -1.765617e+04 7.415522e+03 156 157 158 159 160 7.885890e+03 7.885890e+03 6.074550e+03 2.190668e+04 7.885890e+03 161 162 163 164 165 7.885890e+03 7.885890e+03 7.885890e+03 -9.604297e+03 -1.319946e+04 166 167 168 169 170 6.572742e+03 7.885890e+03 6.282702e+04 -4.665849e+04 7.885890e+03 171 172 173 174 175 7.885890e+03 4.336193e+03 7.885890e+03 -1.385396e+03 7.885890e+03 176 177 178 179 180 5.876404e+03 -1.164544e+03 7.451639e+03 7.885890e+03 7.885890e+03 181 182 183 184 185 3.412188e+04 1.316928e+04 -3.448478e+04 -1.660040e+04 7.009061e+03 186 187 188 189 190 1.466212e+04 3.633812e+03 3.299849e+03 -1.950469e+04 7.885890e+03 191 192 193 194 195 6.460031e+03 7.885890e+03 5.459244e+03 7.885890e+03 7.717053e+03 196 197 198 199 200 7.885890e+03 -1.764143e+04 7.885890e+03 7.885890e+03 -4.628102e+04 201 202 203 204 205 7.885890e+03 7.885890e+03 7.885890e+03 -1.032528e+04 9.034898e+03 206 207 208 209 210 8.538142e+03 1.021988e+04 7.885890e+03 1.765476e+04 -5.142160e+03 211 212 213 214 215 7.885890e+03 7.885890e+03 1.787679e+04 -2.674253e+04 -1.230533e+04 216 217 218 219 220 7.885890e+03 7.939671e+03 3.356439e+03 7.885890e+03 -1.661634e+04 221 222 223 224 225 -1.583636e+04 7.885890e+03 7.806647e+03 -3.449907e+03 7.739504e+03 226 227 228 229 230 2.618073e+03 5.998931e+03 7.885890e+03 1.647015e+03 7.885890e+03 231 232 233 234 235 -1.425460e+04 1.082325e+03 7.885890e+03 -1.064204e+04 7.885890e+03 236 237 238 239 240 7.959474e+03 7.885890e+03 7.361795e+03 7.885890e+03 7.885890e+03 241 242 243 244 245 7.885890e+03 3.789819e+03 7.885890e+03 7.679544e+03 -2.674581e+04 246 247 248 249 250 7.885890e+03 7.885890e+03 -7.364000e+02 7.885890e+03 7.885890e+03 251 252 253 254 255 -1.457080e+04 7.885890e+03 -2.954105e+03 -1.427997e+04 -1.001436e+05 256 257 258 259 260 7.885890e+03 -4.294474e+03 -1.540906e+04 7.885890e+03 7.885890e+03 261 262 263 264 265 7.885890e+03 7.885890e+03 3.280955e+04 1.911200e+04 7.885890e+03 266 267 268 269 270 7.885890e+03 7.885890e+03 7.092566e+04 7.885890e+03 2.186414e+04 271 272 273 274 275 7.885890e+03 7.885890e+03 7.885890e+03 5.419260e+02 7.885890e+03 276 277 278 279 280 7.659666e+03 7.125660e+03 7.885890e+03 -3.947279e+04 3.548361e+02 281 282 283 284 285 7.885890e+03 7.885890e+03 1.594011e+03 7.885890e+03 1.814935e+04 286 287 288 289 290 7.885890e+03 1.292396e+03 1.015167e+04 7.885890e+03 -1.919372e+04 291 292 293 294 295 7.885890e+03 1.488961e+04 5.046362e+04 7.885890e+03 -6.062845e+03 296 297 298 299 300 2.684495e+04 7.885890e+03 7.885890e+03 7.885890e+03 7.885890e+03 301 302 303 304 305 5.153591e+03 -1.138956e+04 7.885890e+03 7.885890e+03 3.058851e+04 306 307 308 309 310 7.866032e+03 7.885890e+03 5.615897e+03 -4.332841e+03 7.885890e+03 311 312 313 314 315 7.885890e+03 3.292089e+04 7.885890e+03 1.385221e+04 8.112119e+03 316 317 318 319 320 2.983997e+04 6.877481e+03 -1.673346e+04 7.860491e+03 7.885890e+03 321 322 323 324 325 7.885890e+03 7.885890e+03 7.885890e+03 7.885890e+03 7.885890e+03 326 327 328 329 330 4.626436e+03 7.885890e+03 7.885890e+03 7.885890e+03 7.885890e+03 331 332 333 334 335 7.885890e+03 7.885890e+03 7.885890e+03 4.555494e+03 7.876934e+03 336 337 338 339 340 2.431005e+03 -2.600563e+04 7.885890e+03 5.944099e+03 7.998222e+03 341 342 343 344 345 -1.715618e+04 7.885890e+03 7.885890e+03 7.885890e+03 -1.000848e+04 346 347 348 349 350 7.885890e+03 -5.943610e+03 7.885890e+03 7.885890e+03 -1.578813e+04 351 352 353 354 355 5.758370e+03 5.533360e+03 8.053020e+03 4.424100e+03 7.885890e+03 356 357 358 359 360 7.885890e+03 5.688983e+03 7.885890e+03 7.885890e+03 7.885890e+03 361 362 363 364 365 7.886657e+03 7.885890e+03 7.885890e+03 -2.990045e+04 5.736787e+03 366 367 368 369 370 7.885890e+03 7.885890e+03 7.885890e+03 7.885890e+03 4.277989e+03 371 372 373 374 375 7.885890e+03 8.102971e+03 2.559254e+04 -2.958819e+03 7.885890e+03 376 377 378 379 380 7.885890e+03 -1.439895e+04 4.326394e+03 -2.599412e+04 7.885890e+03 381 382 383 384 385 7.885890e+03 3.793556e+02 -3.654900e+04 7.885890e+03 8.571701e+03 386 387 388 389 390 -1.145814e+05 1.726525e+04 -1.431291e+04 5.452475e+03 -9.434267e+03 391 392 393 394 395 7.948788e+03 -2.315341e+04 -5.501282e+04 4.782787e+04 -9.255679e+04 396 397 398 399 400 -3.360404e+04 -1.441857e+05 9.729573e+04 -2.046329e+04 -1.042779e+05 401 402 403 404 405 -2.252725e+04 1.237066e+04 -2.112778e+04 -5.631186e+04 -4.095689e+04 406 407 408 409 410 -2.063086e+03 -1.439303e+03 -1.994659e+04 -1.698257e+04 -8.863966e+04 411 412 413 414 415 -2.180996e+04 -1.516623e+05 -5.757076e+04 7.750794e+04 -1.793147e+05 416 417 418 419 420 -1.209000e+05 5.324414e+04 -3.686172e+04 -5.522805e+04 -7.260360e+04 421 422 423 424 425 -7.235992e+04 -1.199613e+05 -4.749294e+05 -4.586813e+05 -7.261920e+04 426 427 428 429 430 -1.848519e+05 -3.293887e+05 -1.089227e+06 -2.374091e+05 -2.333980e+05 431 -5.464335e+05 > postscript(file="/var/www/html/rcomp/tmp/6o0801292955824.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 -2.608799e+05 NA 1 3.411356e+06 -2.608799e+05 2 1.171853e+06 3.411356e+06 3 -5.428272e+05 1.171853e+06 4 -2.608628e+05 -5.428272e+05 5 1.933686e+04 -2.608628e+05 6 -3.509149e+03 1.933686e+04 7 -2.425525e+05 -3.509149e+03 8 2.364602e+04 -2.425525e+05 9 8.821366e+05 2.364602e+04 10 -3.321008e+05 8.821366e+05 11 4.790465e+05 -3.321008e+05 12 9.373054e+05 4.790465e+05 13 -6.683091e+05 9.373054e+05 14 7.445716e+04 -6.683091e+05 15 5.724179e+05 7.445716e+04 16 -3.540487e+03 5.724179e+05 17 9.051730e+03 -3.540487e+03 18 1.502868e+05 9.051730e+03 19 -3.216965e+05 1.502868e+05 20 2.868466e+05 -3.216965e+05 21 -4.064967e+04 2.868466e+05 22 -2.352861e+04 -4.064967e+04 23 -3.511651e+05 -2.352861e+04 24 -2.018015e+05 -3.511651e+05 25 -2.871585e+03 -2.018015e+05 26 -1.831363e+05 -2.871585e+03 27 -2.575756e+05 -1.831363e+05 28 3.628291e+05 -2.575756e+05 29 -9.667566e+04 3.628291e+05 30 3.120082e+05 -9.667566e+04 31 -9.784852e+03 3.120082e+05 32 2.947249e+05 -9.784852e+03 33 1.883540e+05 2.947249e+05 34 2.376275e+05 1.883540e+05 35 -3.559115e+05 2.376275e+05 36 1.154494e+05 -3.559115e+05 37 2.621138e+05 1.154494e+05 38 1.665263e+05 2.621138e+05 39 -1.803472e+05 1.665263e+05 40 -2.325873e+05 -1.803472e+05 41 -2.654010e+05 -2.325873e+05 42 9.691298e+04 -2.654010e+05 43 -9.742618e+04 9.691298e+04 44 -5.215692e+03 -9.742618e+04 45 -1.283432e+04 -5.215692e+03 46 -1.144812e+05 -1.283432e+04 47 -8.124632e+04 -1.144812e+05 48 3.854628e+04 -8.124632e+04 49 -1.566947e+05 3.854628e+04 50 1.503060e+05 -1.566947e+05 51 1.005303e+05 1.503060e+05 52 -6.448411e+04 1.005303e+05 53 1.912044e+05 -6.448411e+04 54 -2.109276e+05 1.912044e+05 55 5.695869e+04 -2.109276e+05 56 2.852243e+05 5.695869e+04 57 2.701651e+04 2.852243e+05 58 6.825481e+03 2.701651e+04 59 -1.145012e+05 6.825481e+03 60 6.538881e+04 -1.145012e+05 61 -1.874398e+05 6.538881e+04 62 4.005412e+04 -1.874398e+05 63 -9.580666e+04 4.005412e+04 64 1.824990e+03 -9.580666e+04 65 -2.330799e+05 1.824990e+03 66 -6.286751e+04 -2.330799e+05 67 4.498030e+04 -6.286751e+04 68 3.280319e+04 4.498030e+04 69 2.753540e+04 3.280319e+04 70 -1.460492e+05 2.753540e+04 71 -3.612186e+03 -1.460492e+05 72 -2.811354e+04 -3.612186e+03 73 8.244743e+03 -2.811354e+04 74 4.011274e+04 8.244743e+03 75 -9.423110e+04 4.011274e+04 76 3.847241e+04 -9.423110e+04 77 -8.553179e+04 3.847241e+04 78 -1.837766e+04 -8.553179e+04 79 1.870321e+04 -1.837766e+04 80 1.592131e+04 1.870321e+04 81 2.028738e+04 1.592131e+04 82 2.503243e+04 2.028738e+04 83 -1.852851e+04 2.503243e+04 84 6.045534e+04 -1.852851e+04 85 -5.147537e+04 6.045534e+04 86 7.445046e+04 -5.147537e+04 87 3.654182e+04 7.445046e+04 88 -4.602990e+04 3.654182e+04 89 6.791020e+04 -4.602990e+04 90 4.344371e+04 6.791020e+04 91 1.205713e+04 4.344371e+04 92 1.051645e+05 1.205713e+04 93 -1.120634e+05 1.051645e+05 94 2.316142e+04 -1.120634e+05 95 1.633573e+04 2.316142e+04 96 1.178379e+05 1.633573e+04 97 -2.796317e+03 1.178379e+05 98 3.084612e+04 -2.796317e+03 99 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7.885890e+03 328 7.885890e+03 7.885890e+03 329 7.885890e+03 7.885890e+03 330 7.885890e+03 7.885890e+03 331 7.885890e+03 7.885890e+03 332 7.885890e+03 7.885890e+03 333 4.555494e+03 7.885890e+03 334 7.876934e+03 4.555494e+03 335 2.431005e+03 7.876934e+03 336 -2.600563e+04 2.431005e+03 337 7.885890e+03 -2.600563e+04 338 5.944099e+03 7.885890e+03 339 7.998222e+03 5.944099e+03 340 -1.715618e+04 7.998222e+03 341 7.885890e+03 -1.715618e+04 342 7.885890e+03 7.885890e+03 343 7.885890e+03 7.885890e+03 344 -1.000848e+04 7.885890e+03 345 7.885890e+03 -1.000848e+04 346 -5.943610e+03 7.885890e+03 347 7.885890e+03 -5.943610e+03 348 7.885890e+03 7.885890e+03 349 -1.578813e+04 7.885890e+03 350 5.758370e+03 -1.578813e+04 351 5.533360e+03 5.758370e+03 352 8.053020e+03 5.533360e+03 353 4.424100e+03 8.053020e+03 354 7.885890e+03 4.424100e+03 355 7.885890e+03 7.885890e+03 356 5.688983e+03 7.885890e+03 357 7.885890e+03 5.688983e+03 358 7.885890e+03 7.885890e+03 359 7.885890e+03 7.885890e+03 360 7.886657e+03 7.885890e+03 361 7.885890e+03 7.886657e+03 362 7.885890e+03 7.885890e+03 363 -2.990045e+04 7.885890e+03 364 5.736787e+03 -2.990045e+04 365 7.885890e+03 5.736787e+03 366 7.885890e+03 7.885890e+03 367 7.885890e+03 7.885890e+03 368 7.885890e+03 7.885890e+03 369 4.277989e+03 7.885890e+03 370 7.885890e+03 4.277989e+03 371 8.102971e+03 7.885890e+03 372 2.559254e+04 8.102971e+03 373 -2.958819e+03 2.559254e+04 374 7.885890e+03 -2.958819e+03 375 7.885890e+03 7.885890e+03 376 -1.439895e+04 7.885890e+03 377 4.326394e+03 -1.439895e+04 378 -2.599412e+04 4.326394e+03 379 7.885890e+03 -2.599412e+04 380 7.885890e+03 7.885890e+03 381 3.793556e+02 7.885890e+03 382 -3.654900e+04 3.793556e+02 383 7.885890e+03 -3.654900e+04 384 8.571701e+03 7.885890e+03 385 -1.145814e+05 8.571701e+03 386 1.726525e+04 -1.145814e+05 387 -1.431291e+04 1.726525e+04 388 5.452475e+03 -1.431291e+04 389 -9.434267e+03 5.452475e+03 390 7.948788e+03 -9.434267e+03 391 -2.315341e+04 7.948788e+03 392 -5.501282e+04 -2.315341e+04 393 4.782787e+04 -5.501282e+04 394 -9.255679e+04 4.782787e+04 395 -3.360404e+04 -9.255679e+04 396 -1.441857e+05 -3.360404e+04 397 9.729573e+04 -1.441857e+05 398 -2.046329e+04 9.729573e+04 399 -1.042779e+05 -2.046329e+04 400 -2.252725e+04 -1.042779e+05 401 1.237066e+04 -2.252725e+04 402 -2.112778e+04 1.237066e+04 403 -5.631186e+04 -2.112778e+04 404 -4.095689e+04 -5.631186e+04 405 -2.063086e+03 -4.095689e+04 406 -1.439303e+03 -2.063086e+03 407 -1.994659e+04 -1.439303e+03 408 -1.698257e+04 -1.994659e+04 409 -8.863966e+04 -1.698257e+04 410 -2.180996e+04 -8.863966e+04 411 -1.516623e+05 -2.180996e+04 412 -5.757076e+04 -1.516623e+05 413 7.750794e+04 -5.757076e+04 414 -1.793147e+05 7.750794e+04 415 -1.209000e+05 -1.793147e+05 416 5.324414e+04 -1.209000e+05 417 -3.686172e+04 5.324414e+04 418 -5.522805e+04 -3.686172e+04 419 -7.260360e+04 -5.522805e+04 420 -7.235992e+04 -7.260360e+04 421 -1.199613e+05 -7.235992e+04 422 -4.749294e+05 -1.199613e+05 423 -4.586813e+05 -4.749294e+05 424 -7.261920e+04 -4.586813e+05 425 -1.848519e+05 -7.261920e+04 426 -3.293887e+05 -1.848519e+05 427 -1.089227e+06 -3.293887e+05 428 -2.374091e+05 -1.089227e+06 429 -2.333980e+05 -2.374091e+05 430 -5.464335e+05 -2.333980e+05 431 NA -5.464335e+05 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] 3.411356e+06 -2.608799e+05 [2,] 1.171853e+06 3.411356e+06 [3,] -5.428272e+05 1.171853e+06 [4,] -2.608628e+05 -5.428272e+05 [5,] 1.933686e+04 -2.608628e+05 [6,] -3.509149e+03 1.933686e+04 [7,] -2.425525e+05 -3.509149e+03 [8,] 2.364602e+04 -2.425525e+05 [9,] 8.821366e+05 2.364602e+04 [10,] -3.321008e+05 8.821366e+05 [11,] 4.790465e+05 -3.321008e+05 [12,] 9.373054e+05 4.790465e+05 [13,] -6.683091e+05 9.373054e+05 [14,] 7.445716e+04 -6.683091e+05 [15,] 5.724179e+05 7.445716e+04 [16,] -3.540487e+03 5.724179e+05 [17,] 9.051730e+03 -3.540487e+03 [18,] 1.502868e+05 9.051730e+03 [19,] -3.216965e+05 1.502868e+05 [20,] 2.868466e+05 -3.216965e+05 [21,] -4.064967e+04 2.868466e+05 [22,] -2.352861e+04 -4.064967e+04 [23,] -3.511651e+05 -2.352861e+04 [24,] -2.018015e+05 -3.511651e+05 [25,] -2.871585e+03 -2.018015e+05 [26,] -1.831363e+05 -2.871585e+03 [27,] -2.575756e+05 -1.831363e+05 [28,] 3.628291e+05 -2.575756e+05 [29,] -9.667566e+04 3.628291e+05 [30,] 3.120082e+05 -9.667566e+04 [31,] -9.784852e+03 3.120082e+05 [32,] 2.947249e+05 -9.784852e+03 [33,] 1.883540e+05 2.947249e+05 [34,] 2.376275e+05 1.883540e+05 [35,] -3.559115e+05 2.376275e+05 [36,] 1.154494e+05 -3.559115e+05 [37,] 2.621138e+05 1.154494e+05 [38,] 1.665263e+05 2.621138e+05 [39,] -1.803472e+05 1.665263e+05 [40,] -2.325873e+05 -1.803472e+05 [41,] -2.654010e+05 -2.325873e+05 [42,] 9.691298e+04 -2.654010e+05 [43,] -9.742618e+04 9.691298e+04 [44,] -5.215692e+03 -9.742618e+04 [45,] -1.283432e+04 -5.215692e+03 [46,] -1.144812e+05 -1.283432e+04 [47,] -8.124632e+04 -1.144812e+05 [48,] 3.854628e+04 -8.124632e+04 [49,] -1.566947e+05 3.854628e+04 [50,] 1.503060e+05 -1.566947e+05 [51,] 1.005303e+05 1.503060e+05 [52,] -6.448411e+04 1.005303e+05 [53,] 1.912044e+05 -6.448411e+04 [54,] -2.109276e+05 1.912044e+05 [55,] 5.695869e+04 -2.109276e+05 [56,] 2.852243e+05 5.695869e+04 [57,] 2.701651e+04 2.852243e+05 [58,] 6.825481e+03 2.701651e+04 [59,] -1.145012e+05 6.825481e+03 [60,] 6.538881e+04 -1.145012e+05 [61,] -1.874398e+05 6.538881e+04 [62,] 4.005412e+04 -1.874398e+05 [63,] -9.580666e+04 4.005412e+04 [64,] 1.824990e+03 -9.580666e+04 [65,] -2.330799e+05 1.824990e+03 [66,] -6.286751e+04 -2.330799e+05 [67,] 4.498030e+04 -6.286751e+04 [68,] 3.280319e+04 4.498030e+04 [69,] 2.753540e+04 3.280319e+04 [70,] -1.460492e+05 2.753540e+04 [71,] -3.612186e+03 -1.460492e+05 [72,] -2.811354e+04 -3.612186e+03 [73,] 8.244743e+03 -2.811354e+04 [74,] 4.011274e+04 8.244743e+03 [75,] -9.423110e+04 4.011274e+04 [76,] 3.847241e+04 -9.423110e+04 [77,] -8.553179e+04 3.847241e+04 [78,] -1.837766e+04 -8.553179e+04 [79,] 1.870321e+04 -1.837766e+04 [80,] 1.592131e+04 1.870321e+04 [81,] 2.028738e+04 1.592131e+04 [82,] 2.503243e+04 2.028738e+04 [83,] -1.852851e+04 2.503243e+04 [84,] 6.045534e+04 -1.852851e+04 [85,] -5.147537e+04 6.045534e+04 [86,] 7.445046e+04 -5.147537e+04 [87,] 3.654182e+04 7.445046e+04 [88,] -4.602990e+04 3.654182e+04 [89,] 6.791020e+04 -4.602990e+04 [90,] 4.344371e+04 6.791020e+04 [91,] 1.205713e+04 4.344371e+04 [92,] 1.051645e+05 1.205713e+04 [93,] -1.120634e+05 1.051645e+05 [94,] 2.316142e+04 -1.120634e+05 [95,] 1.633573e+04 2.316142e+04 [96,] 1.178379e+05 1.633573e+04 [97,] -2.796317e+03 1.178379e+05 [98,] 3.084612e+04 -2.796317e+03 [99,] -1.528409e+04 3.084612e+04 [100,] -2.366499e+04 -1.528409e+04 [101,] -9.163387e+04 -2.366499e+04 [102,] -8.620064e+04 -9.163387e+04 [103,] -4.688865e+03 -8.620064e+04 [104,] 3.003454e+04 -4.688865e+03 [105,] -5.128738e+04 3.003454e+04 [106,] -2.371219e+05 -5.128738e+04 [107,] 1.594284e+05 -2.371219e+05 [108,] -1.143577e+05 1.594284e+05 [109,] -9.369199e+04 -1.143577e+05 [110,] 8.462011e+04 -9.369199e+04 [111,] -2.032839e+05 8.462011e+04 [112,] -1.209303e+05 -2.032839e+05 [113,] -6.322223e+04 -1.209303e+05 [114,] 4.690003e+04 -6.322223e+04 [115,] 1.056765e+04 4.690003e+04 [116,] 1.827586e+04 1.056765e+04 [117,] 8.947695e+04 1.827586e+04 [118,] -1.361990e+05 8.947695e+04 [119,] -6.355304e+03 -1.361990e+05 [120,] -1.855450e+05 -6.355304e+03 [121,] 1.119938e+04 -1.855450e+05 [122,] 1.558382e+04 1.119938e+04 [123,] 1.359708e+05 1.558382e+04 [124,] -1.027438e+03 1.359708e+05 [125,] -1.534732e+05 -1.027438e+03 [126,] 7.885890e+03 -1.534732e+05 [127,] 5.411699e+03 7.885890e+03 [128,] 3.250702e+03 5.411699e+03 [129,] 7.885890e+03 3.250702e+03 [130,] 6.264633e+03 7.885890e+03 [131,] 3.574508e+04 6.264633e+03 [132,] 7.885890e+03 3.574508e+04 [133,] 4.614398e+03 7.885890e+03 [134,] -6.605722e+03 4.614398e+03 [135,] 2.031769e+03 -6.605722e+03 [136,] 9.423296e+03 2.031769e+03 [137,] 7.306172e+03 9.423296e+03 [138,] -8.138305e+03 7.306172e+03 [139,] 7.885890e+03 -8.138305e+03 [140,] 1.126219e+04 7.885890e+03 [141,] 7.885890e+03 1.126219e+04 [142,] -2.597494e+04 7.885890e+03 [143,] 7.724318e+03 -2.597494e+04 [144,] 1.429069e+04 7.724318e+03 [145,] -2.892442e+01 1.429069e+04 [146,] 7.885890e+03 -2.892442e+01 [147,] 7.343041e+03 7.885890e+03 [148,] 1.305478e+04 7.343041e+03 [149,] 8.155946e+03 1.305478e+04 [150,] -2.482893e+04 8.155946e+03 [151,] -3.211069e+04 -2.482893e+04 [152,] 7.885890e+03 -3.211069e+04 [153,] -1.765617e+04 7.885890e+03 [154,] 7.415522e+03 -1.765617e+04 [155,] 7.885890e+03 7.415522e+03 [156,] 7.885890e+03 7.885890e+03 [157,] 6.074550e+03 7.885890e+03 [158,] 2.190668e+04 6.074550e+03 [159,] 7.885890e+03 2.190668e+04 [160,] 7.885890e+03 7.885890e+03 [161,] 7.885890e+03 7.885890e+03 [162,] 7.885890e+03 7.885890e+03 [163,] -9.604297e+03 7.885890e+03 [164,] -1.319946e+04 -9.604297e+03 [165,] 6.572742e+03 -1.319946e+04 [166,] 7.885890e+03 6.572742e+03 [167,] 6.282702e+04 7.885890e+03 [168,] -4.665849e+04 6.282702e+04 [169,] 7.885890e+03 -4.665849e+04 [170,] 7.885890e+03 7.885890e+03 [171,] 4.336193e+03 7.885890e+03 [172,] 7.885890e+03 4.336193e+03 [173,] -1.385396e+03 7.885890e+03 [174,] 7.885890e+03 -1.385396e+03 [175,] 5.876404e+03 7.885890e+03 [176,] -1.164544e+03 5.876404e+03 [177,] 7.451639e+03 -1.164544e+03 [178,] 7.885890e+03 7.451639e+03 [179,] 7.885890e+03 7.885890e+03 [180,] 3.412188e+04 7.885890e+03 [181,] 1.316928e+04 3.412188e+04 [182,] -3.448478e+04 1.316928e+04 [183,] -1.660040e+04 -3.448478e+04 [184,] 7.009061e+03 -1.660040e+04 [185,] 1.466212e+04 7.009061e+03 [186,] 3.633812e+03 1.466212e+04 [187,] 3.299849e+03 3.633812e+03 [188,] -1.950469e+04 3.299849e+03 [189,] 7.885890e+03 -1.950469e+04 [190,] 6.460031e+03 7.885890e+03 [191,] 7.885890e+03 6.460031e+03 [192,] 5.459244e+03 7.885890e+03 [193,] 7.885890e+03 5.459244e+03 [194,] 7.717053e+03 7.885890e+03 [195,] 7.885890e+03 7.717053e+03 [196,] -1.764143e+04 7.885890e+03 [197,] 7.885890e+03 -1.764143e+04 [198,] 7.885890e+03 7.885890e+03 [199,] -4.628102e+04 7.885890e+03 [200,] 7.885890e+03 -4.628102e+04 [201,] 7.885890e+03 7.885890e+03 [202,] 7.885890e+03 7.885890e+03 [203,] -1.032528e+04 7.885890e+03 [204,] 9.034898e+03 -1.032528e+04 [205,] 8.538142e+03 9.034898e+03 [206,] 1.021988e+04 8.538142e+03 [207,] 7.885890e+03 1.021988e+04 [208,] 1.765476e+04 7.885890e+03 [209,] -5.142160e+03 1.765476e+04 [210,] 7.885890e+03 -5.142160e+03 [211,] 7.885890e+03 7.885890e+03 [212,] 1.787679e+04 7.885890e+03 [213,] -2.674253e+04 1.787679e+04 [214,] -1.230533e+04 -2.674253e+04 [215,] 7.885890e+03 -1.230533e+04 [216,] 7.939671e+03 7.885890e+03 [217,] 3.356439e+03 7.939671e+03 [218,] 7.885890e+03 3.356439e+03 [219,] -1.661634e+04 7.885890e+03 [220,] -1.583636e+04 -1.661634e+04 [221,] 7.885890e+03 -1.583636e+04 [222,] 7.806647e+03 7.885890e+03 [223,] -3.449907e+03 7.806647e+03 [224,] 7.739504e+03 -3.449907e+03 [225,] 2.618073e+03 7.739504e+03 [226,] 5.998931e+03 2.618073e+03 [227,] 7.885890e+03 5.998931e+03 [228,] 1.647015e+03 7.885890e+03 [229,] 7.885890e+03 1.647015e+03 [230,] -1.425460e+04 7.885890e+03 [231,] 1.082325e+03 -1.425460e+04 [232,] 7.885890e+03 1.082325e+03 [233,] -1.064204e+04 7.885890e+03 [234,] 7.885890e+03 -1.064204e+04 [235,] 7.959474e+03 7.885890e+03 [236,] 7.885890e+03 7.959474e+03 [237,] 7.361795e+03 7.885890e+03 [238,] 7.885890e+03 7.361795e+03 [239,] 7.885890e+03 7.885890e+03 [240,] 7.885890e+03 7.885890e+03 [241,] 3.789819e+03 7.885890e+03 [242,] 7.885890e+03 3.789819e+03 [243,] 7.679544e+03 7.885890e+03 [244,] -2.674581e+04 7.679544e+03 [245,] 7.885890e+03 -2.674581e+04 [246,] 7.885890e+03 7.885890e+03 [247,] -7.364000e+02 7.885890e+03 [248,] 7.885890e+03 -7.364000e+02 [249,] 7.885890e+03 7.885890e+03 [250,] -1.457080e+04 7.885890e+03 [251,] 7.885890e+03 -1.457080e+04 [252,] -2.954105e+03 7.885890e+03 [253,] -1.427997e+04 -2.954105e+03 [254,] -1.001436e+05 -1.427997e+04 [255,] 7.885890e+03 -1.001436e+05 [256,] -4.294474e+03 7.885890e+03 [257,] -1.540906e+04 -4.294474e+03 [258,] 7.885890e+03 -1.540906e+04 [259,] 7.885890e+03 7.885890e+03 [260,] 7.885890e+03 7.885890e+03 [261,] 7.885890e+03 7.885890e+03 [262,] 3.280955e+04 7.885890e+03 [263,] 1.911200e+04 3.280955e+04 [264,] 7.885890e+03 1.911200e+04 [265,] 7.885890e+03 7.885890e+03 [266,] 7.885890e+03 7.885890e+03 [267,] 7.092566e+04 7.885890e+03 [268,] 7.885890e+03 7.092566e+04 [269,] 2.186414e+04 7.885890e+03 [270,] 7.885890e+03 2.186414e+04 [271,] 7.885890e+03 7.885890e+03 [272,] 7.885890e+03 7.885890e+03 [273,] 5.419260e+02 7.885890e+03 [274,] 7.885890e+03 5.419260e+02 [275,] 7.659666e+03 7.885890e+03 [276,] 7.125660e+03 7.659666e+03 [277,] 7.885890e+03 7.125660e+03 [278,] -3.947279e+04 7.885890e+03 [279,] 3.548361e+02 -3.947279e+04 [280,] 7.885890e+03 3.548361e+02 [281,] 7.885890e+03 7.885890e+03 [282,] 1.594011e+03 7.885890e+03 [283,] 7.885890e+03 1.594011e+03 [284,] 1.814935e+04 7.885890e+03 [285,] 7.885890e+03 1.814935e+04 [286,] 1.292396e+03 7.885890e+03 [287,] 1.015167e+04 1.292396e+03 [288,] 7.885890e+03 1.015167e+04 [289,] -1.919372e+04 7.885890e+03 [290,] 7.885890e+03 -1.919372e+04 [291,] 1.488961e+04 7.885890e+03 [292,] 5.046362e+04 1.488961e+04 [293,] 7.885890e+03 5.046362e+04 [294,] -6.062845e+03 7.885890e+03 [295,] 2.684495e+04 -6.062845e+03 [296,] 7.885890e+03 2.684495e+04 [297,] 7.885890e+03 7.885890e+03 [298,] 7.885890e+03 7.885890e+03 [299,] 7.885890e+03 7.885890e+03 [300,] 5.153591e+03 7.885890e+03 [301,] -1.138956e+04 5.153591e+03 [302,] 7.885890e+03 -1.138956e+04 [303,] 7.885890e+03 7.885890e+03 [304,] 3.058851e+04 7.885890e+03 [305,] 7.866032e+03 3.058851e+04 [306,] 7.885890e+03 7.866032e+03 [307,] 5.615897e+03 7.885890e+03 [308,] -4.332841e+03 5.615897e+03 [309,] 7.885890e+03 -4.332841e+03 [310,] 7.885890e+03 7.885890e+03 [311,] 3.292089e+04 7.885890e+03 [312,] 7.885890e+03 3.292089e+04 [313,] 1.385221e+04 7.885890e+03 [314,] 8.112119e+03 1.385221e+04 [315,] 2.983997e+04 8.112119e+03 [316,] 6.877481e+03 2.983997e+04 [317,] -1.673346e+04 6.877481e+03 [318,] 7.860491e+03 -1.673346e+04 [319,] 7.885890e+03 7.860491e+03 [320,] 7.885890e+03 7.885890e+03 [321,] 7.885890e+03 7.885890e+03 [322,] 7.885890e+03 7.885890e+03 [323,] 7.885890e+03 7.885890e+03 [324,] 7.885890e+03 7.885890e+03 [325,] 4.626436e+03 7.885890e+03 [326,] 7.885890e+03 4.626436e+03 [327,] 7.885890e+03 7.885890e+03 [328,] 7.885890e+03 7.885890e+03 [329,] 7.885890e+03 7.885890e+03 [330,] 7.885890e+03 7.885890e+03 [331,] 7.885890e+03 7.885890e+03 [332,] 7.885890e+03 7.885890e+03 [333,] 4.555494e+03 7.885890e+03 [334,] 7.876934e+03 4.555494e+03 [335,] 2.431005e+03 7.876934e+03 [336,] -2.600563e+04 2.431005e+03 [337,] 7.885890e+03 -2.600563e+04 [338,] 5.944099e+03 7.885890e+03 [339,] 7.998222e+03 5.944099e+03 [340,] -1.715618e+04 7.998222e+03 [341,] 7.885890e+03 -1.715618e+04 [342,] 7.885890e+03 7.885890e+03 [343,] 7.885890e+03 7.885890e+03 [344,] -1.000848e+04 7.885890e+03 [345,] 7.885890e+03 -1.000848e+04 [346,] -5.943610e+03 7.885890e+03 [347,] 7.885890e+03 -5.943610e+03 [348,] 7.885890e+03 7.885890e+03 [349,] -1.578813e+04 7.885890e+03 [350,] 5.758370e+03 -1.578813e+04 [351,] 5.533360e+03 5.758370e+03 [352,] 8.053020e+03 5.533360e+03 [353,] 4.424100e+03 8.053020e+03 [354,] 7.885890e+03 4.424100e+03 [355,] 7.885890e+03 7.885890e+03 [356,] 5.688983e+03 7.885890e+03 [357,] 7.885890e+03 5.688983e+03 [358,] 7.885890e+03 7.885890e+03 [359,] 7.885890e+03 7.885890e+03 [360,] 7.886657e+03 7.885890e+03 [361,] 7.885890e+03 7.886657e+03 [362,] 7.885890e+03 7.885890e+03 [363,] -2.990045e+04 7.885890e+03 [364,] 5.736787e+03 -2.990045e+04 [365,] 7.885890e+03 5.736787e+03 [366,] 7.885890e+03 7.885890e+03 [367,] 7.885890e+03 7.885890e+03 [368,] 7.885890e+03 7.885890e+03 [369,] 4.277989e+03 7.885890e+03 [370,] 7.885890e+03 4.277989e+03 [371,] 8.102971e+03 7.885890e+03 [372,] 2.559254e+04 8.102971e+03 [373,] -2.958819e+03 2.559254e+04 [374,] 7.885890e+03 -2.958819e+03 [375,] 7.885890e+03 7.885890e+03 [376,] -1.439895e+04 7.885890e+03 [377,] 4.326394e+03 -1.439895e+04 [378,] -2.599412e+04 4.326394e+03 [379,] 7.885890e+03 -2.599412e+04 [380,] 7.885890e+03 7.885890e+03 [381,] 3.793556e+02 7.885890e+03 [382,] -3.654900e+04 3.793556e+02 [383,] 7.885890e+03 -3.654900e+04 [384,] 8.571701e+03 7.885890e+03 [385,] -1.145814e+05 8.571701e+03 [386,] 1.726525e+04 -1.145814e+05 [387,] -1.431291e+04 1.726525e+04 [388,] 5.452475e+03 -1.431291e+04 [389,] -9.434267e+03 5.452475e+03 [390,] 7.948788e+03 -9.434267e+03 [391,] -2.315341e+04 7.948788e+03 [392,] -5.501282e+04 -2.315341e+04 [393,] 4.782787e+04 -5.501282e+04 [394,] -9.255679e+04 4.782787e+04 [395,] -3.360404e+04 -9.255679e+04 [396,] -1.441857e+05 -3.360404e+04 [397,] 9.729573e+04 -1.441857e+05 [398,] -2.046329e+04 9.729573e+04 [399,] -1.042779e+05 -2.046329e+04 [400,] -2.252725e+04 -1.042779e+05 [401,] 1.237066e+04 -2.252725e+04 [402,] -2.112778e+04 1.237066e+04 [403,] -5.631186e+04 -2.112778e+04 [404,] -4.095689e+04 -5.631186e+04 [405,] -2.063086e+03 -4.095689e+04 [406,] -1.439303e+03 -2.063086e+03 [407,] -1.994659e+04 -1.439303e+03 [408,] -1.698257e+04 -1.994659e+04 [409,] -8.863966e+04 -1.698257e+04 [410,] -2.180996e+04 -8.863966e+04 [411,] -1.516623e+05 -2.180996e+04 [412,] -5.757076e+04 -1.516623e+05 [413,] 7.750794e+04 -5.757076e+04 [414,] -1.793147e+05 7.750794e+04 [415,] -1.209000e+05 -1.793147e+05 [416,] 5.324414e+04 -1.209000e+05 [417,] -3.686172e+04 5.324414e+04 [418,] -5.522805e+04 -3.686172e+04 [419,] -7.260360e+04 -5.522805e+04 [420,] -7.235992e+04 -7.260360e+04 [421,] -1.199613e+05 -7.235992e+04 [422,] -4.749294e+05 -1.199613e+05 [423,] -4.586813e+05 -4.749294e+05 [424,] -7.261920e+04 -4.586813e+05 [425,] -1.848519e+05 -7.261920e+04 [426,] -3.293887e+05 -1.848519e+05 [427,] -1.089227e+06 -3.293887e+05 [428,] -2.374091e+05 -1.089227e+06 [429,] -2.333980e+05 -2.374091e+05 [430,] -5.464335e+05 -2.333980e+05 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 3.411356e+06 -2.608799e+05 2 1.171853e+06 3.411356e+06 3 -5.428272e+05 1.171853e+06 4 -2.608628e+05 -5.428272e+05 5 1.933686e+04 -2.608628e+05 6 -3.509149e+03 1.933686e+04 7 -2.425525e+05 -3.509149e+03 8 2.364602e+04 -2.425525e+05 9 8.821366e+05 2.364602e+04 10 -3.321008e+05 8.821366e+05 11 4.790465e+05 -3.321008e+05 12 9.373054e+05 4.790465e+05 13 -6.683091e+05 9.373054e+05 14 7.445716e+04 -6.683091e+05 15 5.724179e+05 7.445716e+04 16 -3.540487e+03 5.724179e+05 17 9.051730e+03 -3.540487e+03 18 1.502868e+05 9.051730e+03 19 -3.216965e+05 1.502868e+05 20 2.868466e+05 -3.216965e+05 21 -4.064967e+04 2.868466e+05 22 -2.352861e+04 -4.064967e+04 23 -3.511651e+05 -2.352861e+04 24 -2.018015e+05 -3.511651e+05 25 -2.871585e+03 -2.018015e+05 26 -1.831363e+05 -2.871585e+03 27 -2.575756e+05 -1.831363e+05 28 3.628291e+05 -2.575756e+05 29 -9.667566e+04 3.628291e+05 30 3.120082e+05 -9.667566e+04 31 -9.784852e+03 3.120082e+05 32 2.947249e+05 -9.784852e+03 33 1.883540e+05 2.947249e+05 34 2.376275e+05 1.883540e+05 35 -3.559115e+05 2.376275e+05 36 1.154494e+05 -3.559115e+05 37 2.621138e+05 1.154494e+05 38 1.665263e+05 2.621138e+05 39 -1.803472e+05 1.665263e+05 40 -2.325873e+05 -1.803472e+05 41 -2.654010e+05 -2.325873e+05 42 9.691298e+04 -2.654010e+05 43 -9.742618e+04 9.691298e+04 44 -5.215692e+03 -9.742618e+04 45 -1.283432e+04 -5.215692e+03 46 -1.144812e+05 -1.283432e+04 47 -8.124632e+04 -1.144812e+05 48 3.854628e+04 -8.124632e+04 49 -1.566947e+05 3.854628e+04 50 1.503060e+05 -1.566947e+05 51 1.005303e+05 1.503060e+05 52 -6.448411e+04 1.005303e+05 53 1.912044e+05 -6.448411e+04 54 -2.109276e+05 1.912044e+05 55 5.695869e+04 -2.109276e+05 56 2.852243e+05 5.695869e+04 57 2.701651e+04 2.852243e+05 58 6.825481e+03 2.701651e+04 59 -1.145012e+05 6.825481e+03 60 6.538881e+04 -1.145012e+05 61 -1.874398e+05 6.538881e+04 62 4.005412e+04 -1.874398e+05 63 -9.580666e+04 4.005412e+04 64 1.824990e+03 -9.580666e+04 65 -2.330799e+05 1.824990e+03 66 -6.286751e+04 -2.330799e+05 67 4.498030e+04 -6.286751e+04 68 3.280319e+04 4.498030e+04 69 2.753540e+04 3.280319e+04 70 -1.460492e+05 2.753540e+04 71 -3.612186e+03 -1.460492e+05 72 -2.811354e+04 -3.612186e+03 73 8.244743e+03 -2.811354e+04 74 4.011274e+04 8.244743e+03 75 -9.423110e+04 4.011274e+04 76 3.847241e+04 -9.423110e+04 77 -8.553179e+04 3.847241e+04 78 -1.837766e+04 -8.553179e+04 79 1.870321e+04 -1.837766e+04 80 1.592131e+04 1.870321e+04 81 2.028738e+04 1.592131e+04 82 2.503243e+04 2.028738e+04 83 -1.852851e+04 2.503243e+04 84 6.045534e+04 -1.852851e+04 85 -5.147537e+04 6.045534e+04 86 7.445046e+04 -5.147537e+04 87 3.654182e+04 7.445046e+04 88 -4.602990e+04 3.654182e+04 89 6.791020e+04 -4.602990e+04 90 4.344371e+04 6.791020e+04 91 1.205713e+04 4.344371e+04 92 1.051645e+05 1.205713e+04 93 -1.120634e+05 1.051645e+05 94 2.316142e+04 -1.120634e+05 95 1.633573e+04 2.316142e+04 96 1.178379e+05 1.633573e+04 97 -2.796317e+03 1.178379e+05 98 3.084612e+04 -2.796317e+03 99 -1.528409e+04 3.084612e+04 100 -2.366499e+04 -1.528409e+04 101 -9.163387e+04 -2.366499e+04 102 -8.620064e+04 -9.163387e+04 103 -4.688865e+03 -8.620064e+04 104 3.003454e+04 -4.688865e+03 105 -5.128738e+04 3.003454e+04 106 -2.371219e+05 -5.128738e+04 107 1.594284e+05 -2.371219e+05 108 -1.143577e+05 1.594284e+05 109 -9.369199e+04 -1.143577e+05 110 8.462011e+04 -9.369199e+04 111 -2.032839e+05 8.462011e+04 112 -1.209303e+05 -2.032839e+05 113 -6.322223e+04 -1.209303e+05 114 4.690003e+04 -6.322223e+04 115 1.056765e+04 4.690003e+04 116 1.827586e+04 1.056765e+04 117 8.947695e+04 1.827586e+04 118 -1.361990e+05 8.947695e+04 119 -6.355304e+03 -1.361990e+05 120 -1.855450e+05 -6.355304e+03 121 1.119938e+04 -1.855450e+05 122 1.558382e+04 1.119938e+04 123 1.359708e+05 1.558382e+04 124 -1.027438e+03 1.359708e+05 125 -1.534732e+05 -1.027438e+03 126 7.885890e+03 -1.534732e+05 127 5.411699e+03 7.885890e+03 128 3.250702e+03 5.411699e+03 129 7.885890e+03 3.250702e+03 130 6.264633e+03 7.885890e+03 131 3.574508e+04 6.264633e+03 132 7.885890e+03 3.574508e+04 133 4.614398e+03 7.885890e+03 134 -6.605722e+03 4.614398e+03 135 2.031769e+03 -6.605722e+03 136 9.423296e+03 2.031769e+03 137 7.306172e+03 9.423296e+03 138 -8.138305e+03 7.306172e+03 139 7.885890e+03 -8.138305e+03 140 1.126219e+04 7.885890e+03 141 7.885890e+03 1.126219e+04 142 -2.597494e+04 7.885890e+03 143 7.724318e+03 -2.597494e+04 144 1.429069e+04 7.724318e+03 145 -2.892442e+01 1.429069e+04 146 7.885890e+03 -2.892442e+01 147 7.343041e+03 7.885890e+03 148 1.305478e+04 7.343041e+03 149 8.155946e+03 1.305478e+04 150 -2.482893e+04 8.155946e+03 151 -3.211069e+04 -2.482893e+04 152 7.885890e+03 -3.211069e+04 153 -1.765617e+04 7.885890e+03 154 7.415522e+03 -1.765617e+04 155 7.885890e+03 7.415522e+03 156 7.885890e+03 7.885890e+03 157 6.074550e+03 7.885890e+03 158 2.190668e+04 6.074550e+03 159 7.885890e+03 2.190668e+04 160 7.885890e+03 7.885890e+03 161 7.885890e+03 7.885890e+03 162 7.885890e+03 7.885890e+03 163 -9.604297e+03 7.885890e+03 164 -1.319946e+04 -9.604297e+03 165 6.572742e+03 -1.319946e+04 166 7.885890e+03 6.572742e+03 167 6.282702e+04 7.885890e+03 168 -4.665849e+04 6.282702e+04 169 7.885890e+03 -4.665849e+04 170 7.885890e+03 7.885890e+03 171 4.336193e+03 7.885890e+03 172 7.885890e+03 4.336193e+03 173 -1.385396e+03 7.885890e+03 174 7.885890e+03 -1.385396e+03 175 5.876404e+03 7.885890e+03 176 -1.164544e+03 5.876404e+03 177 7.451639e+03 -1.164544e+03 178 7.885890e+03 7.451639e+03 179 7.885890e+03 7.885890e+03 180 3.412188e+04 7.885890e+03 181 1.316928e+04 3.412188e+04 182 -3.448478e+04 1.316928e+04 183 -1.660040e+04 -3.448478e+04 184 7.009061e+03 -1.660040e+04 185 1.466212e+04 7.009061e+03 186 3.633812e+03 1.466212e+04 187 3.299849e+03 3.633812e+03 188 -1.950469e+04 3.299849e+03 189 7.885890e+03 -1.950469e+04 190 6.460031e+03 7.885890e+03 191 7.885890e+03 6.460031e+03 192 5.459244e+03 7.885890e+03 193 7.885890e+03 5.459244e+03 194 7.717053e+03 7.885890e+03 195 7.885890e+03 7.717053e+03 196 -1.764143e+04 7.885890e+03 197 7.885890e+03 -1.764143e+04 198 7.885890e+03 7.885890e+03 199 -4.628102e+04 7.885890e+03 200 7.885890e+03 -4.628102e+04 201 7.885890e+03 7.885890e+03 202 7.885890e+03 7.885890e+03 203 -1.032528e+04 7.885890e+03 204 9.034898e+03 -1.032528e+04 205 8.538142e+03 9.034898e+03 206 1.021988e+04 8.538142e+03 207 7.885890e+03 1.021988e+04 208 1.765476e+04 7.885890e+03 209 -5.142160e+03 1.765476e+04 210 7.885890e+03 -5.142160e+03 211 7.885890e+03 7.885890e+03 212 1.787679e+04 7.885890e+03 213 -2.674253e+04 1.787679e+04 214 -1.230533e+04 -2.674253e+04 215 7.885890e+03 -1.230533e+04 216 7.939671e+03 7.885890e+03 217 3.356439e+03 7.939671e+03 218 7.885890e+03 3.356439e+03 219 -1.661634e+04 7.885890e+03 220 -1.583636e+04 -1.661634e+04 221 7.885890e+03 -1.583636e+04 222 7.806647e+03 7.885890e+03 223 -3.449907e+03 7.806647e+03 224 7.739504e+03 -3.449907e+03 225 2.618073e+03 7.739504e+03 226 5.998931e+03 2.618073e+03 227 7.885890e+03 5.998931e+03 228 1.647015e+03 7.885890e+03 229 7.885890e+03 1.647015e+03 230 -1.425460e+04 7.885890e+03 231 1.082325e+03 -1.425460e+04 232 7.885890e+03 1.082325e+03 233 -1.064204e+04 7.885890e+03 234 7.885890e+03 -1.064204e+04 235 7.959474e+03 7.885890e+03 236 7.885890e+03 7.959474e+03 237 7.361795e+03 7.885890e+03 238 7.885890e+03 7.361795e+03 239 7.885890e+03 7.885890e+03 240 7.885890e+03 7.885890e+03 241 3.789819e+03 7.885890e+03 242 7.885890e+03 3.789819e+03 243 7.679544e+03 7.885890e+03 244 -2.674581e+04 7.679544e+03 245 7.885890e+03 -2.674581e+04 246 7.885890e+03 7.885890e+03 247 -7.364000e+02 7.885890e+03 248 7.885890e+03 -7.364000e+02 249 7.885890e+03 7.885890e+03 250 -1.457080e+04 7.885890e+03 251 7.885890e+03 -1.457080e+04 252 -2.954105e+03 7.885890e+03 253 -1.427997e+04 -2.954105e+03 254 -1.001436e+05 -1.427997e+04 255 7.885890e+03 -1.001436e+05 256 -4.294474e+03 7.885890e+03 257 -1.540906e+04 -4.294474e+03 258 7.885890e+03 -1.540906e+04 259 7.885890e+03 7.885890e+03 260 7.885890e+03 7.885890e+03 261 7.885890e+03 7.885890e+03 262 3.280955e+04 7.885890e+03 263 1.911200e+04 3.280955e+04 264 7.885890e+03 1.911200e+04 265 7.885890e+03 7.885890e+03 266 7.885890e+03 7.885890e+03 267 7.092566e+04 7.885890e+03 268 7.885890e+03 7.092566e+04 269 2.186414e+04 7.885890e+03 270 7.885890e+03 2.186414e+04 271 7.885890e+03 7.885890e+03 272 7.885890e+03 7.885890e+03 273 5.419260e+02 7.885890e+03 274 7.885890e+03 5.419260e+02 275 7.659666e+03 7.885890e+03 276 7.125660e+03 7.659666e+03 277 7.885890e+03 7.125660e+03 278 -3.947279e+04 7.885890e+03 279 3.548361e+02 -3.947279e+04 280 7.885890e+03 3.548361e+02 281 7.885890e+03 7.885890e+03 282 1.594011e+03 7.885890e+03 283 7.885890e+03 1.594011e+03 284 1.814935e+04 7.885890e+03 285 7.885890e+03 1.814935e+04 286 1.292396e+03 7.885890e+03 287 1.015167e+04 1.292396e+03 288 7.885890e+03 1.015167e+04 289 -1.919372e+04 7.885890e+03 290 7.885890e+03 -1.919372e+04 291 1.488961e+04 7.885890e+03 292 5.046362e+04 1.488961e+04 293 7.885890e+03 5.046362e+04 294 -6.062845e+03 7.885890e+03 295 2.684495e+04 -6.062845e+03 296 7.885890e+03 2.684495e+04 297 7.885890e+03 7.885890e+03 298 7.885890e+03 7.885890e+03 299 7.885890e+03 7.885890e+03 300 5.153591e+03 7.885890e+03 301 -1.138956e+04 5.153591e+03 302 7.885890e+03 -1.138956e+04 303 7.885890e+03 7.885890e+03 304 3.058851e+04 7.885890e+03 305 7.866032e+03 3.058851e+04 306 7.885890e+03 7.866032e+03 307 5.615897e+03 7.885890e+03 308 -4.332841e+03 5.615897e+03 309 7.885890e+03 -4.332841e+03 310 7.885890e+03 7.885890e+03 311 3.292089e+04 7.885890e+03 312 7.885890e+03 3.292089e+04 313 1.385221e+04 7.885890e+03 314 8.112119e+03 1.385221e+04 315 2.983997e+04 8.112119e+03 316 6.877481e+03 2.983997e+04 317 -1.673346e+04 6.877481e+03 318 7.860491e+03 -1.673346e+04 319 7.885890e+03 7.860491e+03 320 7.885890e+03 7.885890e+03 321 7.885890e+03 7.885890e+03 322 7.885890e+03 7.885890e+03 323 7.885890e+03 7.885890e+03 324 7.885890e+03 7.885890e+03 325 4.626436e+03 7.885890e+03 326 7.885890e+03 4.626436e+03 327 7.885890e+03 7.885890e+03 328 7.885890e+03 7.885890e+03 329 7.885890e+03 7.885890e+03 330 7.885890e+03 7.885890e+03 331 7.885890e+03 7.885890e+03 332 7.885890e+03 7.885890e+03 333 4.555494e+03 7.885890e+03 334 7.876934e+03 4.555494e+03 335 2.431005e+03 7.876934e+03 336 -2.600563e+04 2.431005e+03 337 7.885890e+03 -2.600563e+04 338 5.944099e+03 7.885890e+03 339 7.998222e+03 5.944099e+03 340 -1.715618e+04 7.998222e+03 341 7.885890e+03 -1.715618e+04 342 7.885890e+03 7.885890e+03 343 7.885890e+03 7.885890e+03 344 -1.000848e+04 7.885890e+03 345 7.885890e+03 -1.000848e+04 346 -5.943610e+03 7.885890e+03 347 7.885890e+03 -5.943610e+03 348 7.885890e+03 7.885890e+03 349 -1.578813e+04 7.885890e+03 350 5.758370e+03 -1.578813e+04 351 5.533360e+03 5.758370e+03 352 8.053020e+03 5.533360e+03 353 4.424100e+03 8.053020e+03 354 7.885890e+03 4.424100e+03 355 7.885890e+03 7.885890e+03 356 5.688983e+03 7.885890e+03 357 7.885890e+03 5.688983e+03 358 7.885890e+03 7.885890e+03 359 7.885890e+03 7.885890e+03 360 7.886657e+03 7.885890e+03 361 7.885890e+03 7.886657e+03 362 7.885890e+03 7.885890e+03 363 -2.990045e+04 7.885890e+03 364 5.736787e+03 -2.990045e+04 365 7.885890e+03 5.736787e+03 366 7.885890e+03 7.885890e+03 367 7.885890e+03 7.885890e+03 368 7.885890e+03 7.885890e+03 369 4.277989e+03 7.885890e+03 370 7.885890e+03 4.277989e+03 371 8.102971e+03 7.885890e+03 372 2.559254e+04 8.102971e+03 373 -2.958819e+03 2.559254e+04 374 7.885890e+03 -2.958819e+03 375 7.885890e+03 7.885890e+03 376 -1.439895e+04 7.885890e+03 377 4.326394e+03 -1.439895e+04 378 -2.599412e+04 4.326394e+03 379 7.885890e+03 -2.599412e+04 380 7.885890e+03 7.885890e+03 381 3.793556e+02 7.885890e+03 382 -3.654900e+04 3.793556e+02 383 7.885890e+03 -3.654900e+04 384 8.571701e+03 7.885890e+03 385 -1.145814e+05 8.571701e+03 386 1.726525e+04 -1.145814e+05 387 -1.431291e+04 1.726525e+04 388 5.452475e+03 -1.431291e+04 389 -9.434267e+03 5.452475e+03 390 7.948788e+03 -9.434267e+03 391 -2.315341e+04 7.948788e+03 392 -5.501282e+04 -2.315341e+04 393 4.782787e+04 -5.501282e+04 394 -9.255679e+04 4.782787e+04 395 -3.360404e+04 -9.255679e+04 396 -1.441857e+05 -3.360404e+04 397 9.729573e+04 -1.441857e+05 398 -2.046329e+04 9.729573e+04 399 -1.042779e+05 -2.046329e+04 400 -2.252725e+04 -1.042779e+05 401 1.237066e+04 -2.252725e+04 402 -2.112778e+04 1.237066e+04 403 -5.631186e+04 -2.112778e+04 404 -4.095689e+04 -5.631186e+04 405 -2.063086e+03 -4.095689e+04 406 -1.439303e+03 -2.063086e+03 407 -1.994659e+04 -1.439303e+03 408 -1.698257e+04 -1.994659e+04 409 -8.863966e+04 -1.698257e+04 410 -2.180996e+04 -8.863966e+04 411 -1.516623e+05 -2.180996e+04 412 -5.757076e+04 -1.516623e+05 413 7.750794e+04 -5.757076e+04 414 -1.793147e+05 7.750794e+04 415 -1.209000e+05 -1.793147e+05 416 5.324414e+04 -1.209000e+05 417 -3.686172e+04 5.324414e+04 418 -5.522805e+04 -3.686172e+04 419 -7.260360e+04 -5.522805e+04 420 -7.235992e+04 -7.260360e+04 421 -1.199613e+05 -7.235992e+04 422 -4.749294e+05 -1.199613e+05 423 -4.586813e+05 -4.749294e+05 424 -7.261920e+04 -4.586813e+05 425 -1.848519e+05 -7.261920e+04 426 -3.293887e+05 -1.848519e+05 427 -1.089227e+06 -3.293887e+05 428 -2.374091e+05 -1.089227e+06 429 -2.333980e+05 -2.374091e+05 430 -5.464335e+05 -2.333980e+05 > 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/7g9ql1292955824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/8g9ql1292955824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/9g9ql1292955824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) > plot(mylm, las = 1, sub='Residual Diagnostics') > par(opar) > dev.off() null device 1 > if (n > n25) { + postscript(file="/var/www/html/rcomp/tmp/109ipo1292955824.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') + grid() + dev.off() + } null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) > a<-table.row.end(a) > myeq <- colnames(x)[1] > myeq <- paste(myeq, '[t] = ', sep='') > for (i in 1:k){ + if (mysum$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/11u05u1292955824.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/12yj401292955824.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/13ct281292955824.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/14421b1292955824.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/1583zh1292955824.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/164cx81292955824.tab") + } > > try(system("convert tmp/12hau1292955824.ps tmp/12hau1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/22hau1292955824.ps tmp/22hau1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/3v89f1292955824.ps tmp/3v89f1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/4v89f1292955824.ps tmp/4v89f1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/5v89f1292955824.ps tmp/5v89f1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/6o0801292955824.ps tmp/6o0801292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/7g9ql1292955824.ps tmp/7g9ql1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/8g9ql1292955824.ps tmp/8g9ql1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/9g9ql1292955824.ps tmp/9g9ql1292955824.png",intern=TRUE)) character(0) > try(system("convert tmp/109ipo1292955824.ps tmp/109ipo1292955824.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 11.682 2.237 25.068