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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,3999 + ,30 + ,21 + ,51252 + ,42754 + ,1 + ,35624 + ,223 + ,244 + ,157278 + ,306275 + ,1 + ,9252 + ,48 + ,32 + ,79510 + ,253537 + ,1 + ,15236 + ,90 + ,86 + ,77440 + ,372631 + ,1 + ,18073 + ,180 + ,69 + ,27284 + ,-7170) + ,dim=c(6 + ,431) + ,dimnames=list(c('Group' + ,'Costs' + ,'Trades' + ,'Orders' + ,'Dividends' + ,'Wealth') + ,1:431)) > y <- array(NA,dim=c(6,431),dimnames=list(c('Group','Costs','Trades','Orders','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 = 'No 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 Orders Dividends Wealth 1 0 162556 1081 807 213118 6282154 2 0 29790 309 444 81767 4321023 3 0 87550 458 412 153198 4111912 4 1 84738 588 428 -26007 223193 5 0 54660 302 315 126942 1491348 6 0 42634 156 168 157214 1629616 7 1 40949 481 263 129352 1398893 8 0 45187 353 267 234817 1926517 9 0 37704 452 228 60448 983660 10 0 16275 109 129 47818 1443586 11 1 25830 115 104 245546 1073089 12 1 12679 110 122 48020 984885 13 0 18014 239 393 -1710 1405225 14 1 43556 247 190 32648 227132 15 0 24811 505 280 95350 929118 16 1 6575 159 63 151352 1071292 17 1 7123 109 102 288170 638830 18 0 21950 519 265 114337 856956 19 0 37597 248 234 37884 992426 20 1 17821 373 277 122844 444477 21 0 12988 119 73 82340 857217 22 0 22330 84 67 79801 711969 23 1 13326 102 103 165548 702380 24 1 16189 295 290 116384 358589 25 1 7146 105 83 134028 297978 26 1 15824 64 56 63838 585715 27 0 27664 282 236 74996 657954 28 1 11920 182 73 31080 209458 29 1 8568 37 34 32168 786690 30 1 14416 361 139 49857 439798 31 0 3369 28 26 87161 688779 32 0 11819 85 70 106113 574339 33 0 6984 45 40 80570 741409 34 0 4519 49 42 102129 597793 35 1 2220 22 12 301670 644190 36 1 18562 155 211 102313 377934 37 1 10327 91 74 88577 640273 38 0 5336 81 80 112477 697458 39 0 2365 79 83 191778 550608 40 1 4069 145 131 79804 207393 41 1 8636 855 203 128294 301607 42 1 13718 61 56 96448 345783 43 1 4525 226 89 93811 501749 44 1 6869 105 88 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174 1 3 64820 307424 375 1 0 0 0 60720 315380 376 1 0 0 0 60720 315380 377 1 121 24 11 56178 295370 378 1 607 11 7 60436 322340 379 1 2212 14 10 60720 319864 380 1 0 0 0 60720 315380 381 1 0 0 0 60720 315380 382 1 530 60 18 73433 317291 383 1 571 80 14 41477 280398 384 1 0 0 0 60720 315380 385 1 78 16 12 62700 317330 386 1 2489 40 29 67804 238125 387 1 131 6 3 59661 327071 388 1 923 8 6 58620 309038 389 1 72 3 3 60398 314210 390 1 572 16 8 58580 307930 391 1 397 10 10 62710 322327 392 1 450 8 6 59325 292136 393 1 622 7 8 60950 263276 394 1 694 8 6 68060 367655 395 0 3425 12 9 83620 283910 396 1 562 13 8 58456 283587 397 1 4917 42 26 52811 243650 398 0 1442 118 239 121173 438493 399 1 529 9 7 63870 296261 400 0 2126 138 41 21001 230621 401 1 1061 5 3 70415 304252 402 1 776 9 8 64230 333505 403 1 611 8 6 59190 296919 404 0 1526 25 21 69351 278990 405 1 592 7 7 64270 276898 406 1 1182 13 11 70694 327007 407 1 621 16 11 68005 317046 408 1 989 11 12 58930 304555 409 1 438 11 9 58320 298096 410 1 726 3 3 69980 231861 411 1 1303 61 57 69863 309422 412 0 7419 29 21 63255 286963 413 0 1164 17 15 57320 269753 414 0 3310 33 32 75230 448243 415 1 1920 15 11 79420 165404 416 1 965 3 2 73490 204325 417 1 3256 66 23 35250 407159 418 0 1135 17 20 62285 290476 419 1 1270 26 24 69206 275311 420 1 661 3 1 65920 246541 421 1 1013 2 1 69770 253468 422 1 2844 67 74 72683 240897 423 0 11528 70 68 -14545 -83265 424 1 6526 26 20 55830 -42143 425 1 2264 24 20 55174 272713 426 0 5109 97 82 67038 215362 427 1 3999 30 21 51252 42754 428 1 35624 223 244 157278 306275 429 1 9252 48 32 79510 253537 430 1 15236 90 86 77440 372631 431 1 18073 180 69 27284 -7170 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) Costs Trades Orders Dividends Wealth 8.582e-01 3.305e-06 3.963e-04 -1.632e-03 -9.164e-07 -1.184e-07 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -0.8362 -0.5269 0.2348 0.2474 0.5940 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 8.582e-01 5.467e-02 15.698 <2e-16 *** Costs 3.305e-06 4.166e-06 0.793 0.4281 Trades 3.963e-04 3.840e-04 1.032 0.3026 Orders -1.632e-03 8.091e-04 -2.018 0.0443 * Dividends -9.164e-07 7.264e-07 -1.262 0.2078 Wealth -1.184e-07 8.658e-08 -1.368 0.1721 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4373 on 425 degrees of freedom Multiple R-squared: 0.06138, Adjusted R-squared: 0.05033 F-statistic: 5.558 on 5 and 425 DF, p-value: 5.668e-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,] 0.7056360 5.887279e-01 2.943640e-01 [2,] 0.5570343 8.859315e-01 4.429657e-01 [3,] 0.7773859 4.452283e-01 2.226141e-01 [4,] 0.8569903 2.860194e-01 1.430097e-01 [5,] 0.8146467 3.707066e-01 1.853533e-01 [6,] 0.7857493 4.285014e-01 2.142507e-01 [7,] 0.7756332 4.487336e-01 2.243668e-01 [8,] 0.7935156 4.129689e-01 2.064844e-01 [9,] 0.7798065 4.403870e-01 2.201935e-01 [10,] 0.7625889 4.748221e-01 2.374111e-01 [11,] 0.7618083 4.763834e-01 2.381917e-01 [12,] 0.7757835 4.484329e-01 2.242165e-01 [13,] 0.7706985 4.586031e-01 2.293015e-01 [14,] 0.7650809 4.698381e-01 2.349191e-01 [15,] 0.7568272 4.863457e-01 2.431728e-01 [16,] 0.7269607 5.460787e-01 2.730393e-01 [17,] 0.7051935 5.896130e-01 2.948065e-01 [18,] 0.7282006 5.435989e-01 2.717994e-01 [19,] 0.7479358 5.041284e-01 2.520642e-01 [20,] 0.7570631 4.858738e-01 2.429369e-01 [21,] 0.7732055 4.535890e-01 2.267945e-01 [22,] 0.7665527 4.668946e-01 2.334473e-01 [23,] 0.7926680 4.146640e-01 2.073320e-01 [24,] 0.8179267 3.641466e-01 1.820733e-01 [25,] 0.8221741 3.556517e-01 1.778259e-01 [26,] 0.8305459 3.389082e-01 1.694541e-01 [27,] 0.8120179 3.759643e-01 1.879821e-01 [28,] 0.8024680 3.950641e-01 1.975320e-01 [29,] 0.8082406 3.835188e-01 1.917594e-01 [30,] 0.8183567 3.632866e-01 1.816433e-01 [31,] 0.8458854 3.082292e-01 1.541146e-01 [32,] 0.8402686 3.194627e-01 1.597314e-01 [33,] 0.8150962 3.698077e-01 1.849038e-01 [34,] 0.8098223 3.803554e-01 1.901777e-01 [35,] 0.8031964 3.936072e-01 1.968036e-01 [36,] 0.7939970 4.120060e-01 2.060030e-01 [37,] 0.7890946 4.218107e-01 2.109054e-01 [38,] 0.8136760 3.726480e-01 1.863240e-01 [39,] 0.8562821 2.874359e-01 1.437179e-01 [40,] 0.8778355 2.443290e-01 1.221645e-01 [41,] 0.8752199 2.495603e-01 1.247801e-01 [42,] 0.8684346 2.631307e-01 1.315654e-01 [43,] 0.8786289 2.427423e-01 1.213711e-01 [44,] 0.8875958 2.248083e-01 1.124042e-01 [45,] 0.8976334 2.047333e-01 1.023666e-01 [46,] 0.9057327 1.885346e-01 9.426730e-02 [47,] 0.9159305 1.681391e-01 8.406953e-02 [48,] 0.9160847 1.678306e-01 8.391529e-02 [49,] 0.9166360 1.667281e-01 8.336404e-02 [50,] 0.9140689 1.718622e-01 8.593111e-02 [51,] 0.9096541 1.806917e-01 9.034587e-02 [52,] 0.9194115 1.611770e-01 8.058849e-02 [53,] 0.9269588 1.460824e-01 7.304120e-02 [54,] 0.9218430 1.563140e-01 7.815701e-02 [55,] 0.9309053 1.381894e-01 6.909468e-02 [56,] 0.9379902 1.240197e-01 6.200983e-02 [57,] 0.9359926 1.280147e-01 6.400737e-02 [58,] 0.9268462 1.463075e-01 7.315376e-02 [59,] 0.9221140 1.557719e-01 7.788596e-02 [60,] 0.9302615 1.394770e-01 6.973851e-02 [61,] 0.9295750 1.408500e-01 7.042502e-02 [62,] 0.9349175 1.301650e-01 6.508252e-02 [63,] 0.9435288 1.129425e-01 5.647123e-02 [64,] 0.9417001 1.165998e-01 5.829990e-02 [65,] 0.9400332 1.199336e-01 5.996678e-02 [66,] 0.9372235 1.255531e-01 6.277653e-02 [67,] 0.9353104 1.293791e-01 6.468955e-02 [68,] 0.9449893 1.100214e-01 5.501068e-02 [69,] 0.9428550 1.142901e-01 5.714504e-02 [70,] 0.9386629 1.226741e-01 6.133707e-02 [71,] 0.9348331 1.303338e-01 6.516692e-02 [72,] 0.9473498 1.053004e-01 5.265021e-02 [73,] 0.9445708 1.108584e-01 5.542921e-02 [74,] 0.9511335 9.773299e-02 4.886649e-02 [75,] 0.9488627 1.022747e-01 5.113733e-02 [76,] 0.9452036 1.095929e-01 5.479643e-02 [77,] 0.9421035 1.157931e-01 5.789654e-02 [78,] 0.9501882 9.962365e-02 4.981182e-02 [79,] 0.9495057 1.009885e-01 5.049427e-02 [80,] 0.9463901 1.072198e-01 5.360990e-02 [81,] 0.9432187 1.135626e-01 5.678132e-02 [82,] 0.9397085 1.205830e-01 6.029149e-02 [83,] 0.9359874 1.280253e-01 6.401263e-02 [84,] 0.9458296 1.083407e-01 5.417036e-02 [85,] 0.9428504 1.142992e-01 5.714960e-02 [86,] 0.9528291 9.434180e-02 4.717090e-02 [87,] 0.9495013 1.009974e-01 5.049870e-02 [88,] 0.9584596 8.308081e-02 4.154040e-02 [89,] 0.9558095 8.838102e-02 4.419051e-02 [90,] 0.9668554 6.628914e-02 3.314457e-02 [91,] 0.9646211 7.075781e-02 3.537890e-02 [92,] 0.9713155 5.736908e-02 2.868454e-02 [93,] 0.9763222 4.735552e-02 2.367776e-02 [94,] 0.9744470 5.110599e-02 2.555300e-02 [95,] 0.9726583 5.468346e-02 2.734173e-02 [96,] 0.9705642 5.887161e-02 2.943580e-02 [97,] 0.9683735 6.325303e-02 3.162652e-02 [98,] 0.9660287 6.794266e-02 3.397133e-02 [99,] 0.9725127 5.497453e-02 2.748727e-02 [100,] 0.9775028 4.499439e-02 2.249719e-02 [101,] 0.9757839 4.843219e-02 2.421610e-02 [102,] 0.9806601 3.867984e-02 1.933992e-02 [103,] 0.9792965 4.140700e-02 2.070350e-02 [104,] 0.9836417 3.271661e-02 1.635831e-02 [105,] 0.9822635 3.547294e-02 1.773647e-02 [106,] 0.9859131 2.817389e-02 1.408695e-02 [107,] 0.9887382 2.252354e-02 1.126177e-02 [108,] 0.9880046 2.399074e-02 1.199537e-02 [109,] 0.9870156 2.596884e-02 1.298442e-02 [110,] 0.9860997 2.780069e-02 1.390035e-02 [111,] 0.9892762 2.144759e-02 1.072379e-02 [112,] 0.9883002 2.339957e-02 1.169978e-02 [113,] 0.9875898 2.482045e-02 1.241022e-02 [114,] 0.9865752 2.684959e-02 1.342480e-02 [115,] 0.9861530 2.769401e-02 1.384701e-02 [116,] 0.9888309 2.233811e-02 1.116905e-02 [117,] 0.9913585 1.728291e-02 8.641453e-03 [118,] 0.9934247 1.315058e-02 6.575292e-03 [119,] 0.9928675 1.426498e-02 7.132490e-03 [120,] 0.9922768 1.544647e-02 7.723234e-03 [121,] 0.9916538 1.669236e-02 8.346178e-03 [122,] 0.9908722 1.825553e-02 9.127766e-03 [123,] 0.9900241 1.995172e-02 9.975859e-03 [124,] 0.9891036 2.179286e-02 1.089643e-02 [125,] 0.9880163 2.396735e-02 1.198367e-02 [126,] 0.9870066 2.598682e-02 1.299341e-02 [127,] 0.9856802 2.863952e-02 1.431976e-02 [128,] 0.9842024 3.159529e-02 1.579765e-02 [129,] 0.9826364 3.472719e-02 1.736359e-02 [130,] 0.9808241 3.835175e-02 1.917588e-02 [131,] 0.9788184 4.236315e-02 2.118157e-02 [132,] 0.9765940 4.681205e-02 2.340602e-02 [133,] 0.9742173 5.156541e-02 2.578270e-02 [134,] 0.9715162 5.696755e-02 2.848378e-02 [135,] 0.9686201 6.275976e-02 3.137988e-02 [136,] 0.9654401 6.911982e-02 3.455991e-02 [137,] 0.9621755 7.564907e-02 3.782454e-02 [138,] 0.9584715 8.305703e-02 4.152852e-02 [139,] 0.9542510 9.149794e-02 4.574897e-02 [140,] 0.9498352 1.003296e-01 5.016482e-02 [141,] 0.9449117 1.101767e-01 5.508835e-02 [142,] 0.9394781 1.210438e-01 6.052188e-02 [143,] 0.9336520 1.326959e-01 6.634795e-02 [144,] 0.9283468 1.433064e-01 7.165322e-02 [145,] 0.9218494 1.563012e-01 7.815062e-02 [146,] 0.9146696 1.706608e-01 8.533040e-02 [147,] 0.9069227 1.861546e-01 9.307729e-02 [148,] 0.8985545 2.028911e-01 1.014455e-01 [149,] 0.8896031 2.207938e-01 1.103969e-01 [150,] 0.8801303 2.397394e-01 1.198697e-01 [151,] 0.8702814 2.594372e-01 1.297186e-01 [152,] 0.8595085 2.809830e-01 1.404915e-01 [153,] 0.8480976 3.038048e-01 1.519024e-01 [154,] 0.8360418 3.279165e-01 1.639582e-01 [155,] 0.8233373 3.533253e-01 1.766627e-01 [156,] 0.8096827 3.806346e-01 1.903173e-01 [157,] 0.7963394 4.073213e-01 2.036606e-01 [158,] 0.7817054 4.365892e-01 2.182946e-01 [159,] 0.7664471 4.671058e-01 2.335529e-01 [160,] 0.7535768 4.928465e-01 2.464232e-01 [161,] 0.7330994 5.338012e-01 2.669006e-01 [162,] 0.7160969 5.678061e-01 2.839031e-01 [163,] 0.6985608 6.028784e-01 3.014392e-01 [164,] 0.6806758 6.386484e-01 3.193242e-01 [165,] 0.6621755 6.756491e-01 3.378245e-01 [166,] 0.6439955 7.120090e-01 3.560045e-01 [167,] 0.6246993 7.506014e-01 3.753007e-01 [168,] 0.6057609 7.884781e-01 3.942391e-01 [169,] 0.6005112 7.989776e-01 3.994888e-01 [170,] 0.6557533 6.884935e-01 3.442467e-01 [171,] 0.6367193 7.265613e-01 3.632807e-01 [172,] 0.6173215 7.653570e-01 3.826785e-01 [173,] 0.5989703 8.020594e-01 4.010297e-01 [174,] 0.6512192 6.975616e-01 3.487808e-01 [175,] 0.6333421 7.333159e-01 3.666579e-01 [176,] 0.6897730 6.204539e-01 3.102270e-01 [177,] 0.7367337 5.265326e-01 2.632663e-01 [178,] 0.7770063 4.459873e-01 2.229937e-01 [179,] 0.8118354 3.763293e-01 1.881646e-01 [180,] 0.7986999 4.026003e-01 2.013001e-01 [181,] 0.7843672 4.312655e-01 2.156328e-01 [182,] 0.7696028 4.607944e-01 2.303972e-01 [183,] 0.7552404 4.895192e-01 2.447596e-01 [184,] 0.7393904 5.212191e-01 2.606096e-01 [185,] 0.7237353 5.525295e-01 2.762647e-01 [186,] 0.7068700 5.862601e-01 2.931300e-01 [187,] 0.6899230 6.201541e-01 3.100770e-01 [188,] 0.7376297 5.247406e-01 2.623703e-01 [189,] 0.7709097 4.581806e-01 2.290903e-01 [190,] 0.8109040 3.781920e-01 1.890960e-01 [191,] 0.8461403 3.077193e-01 1.538597e-01 [192,] 0.8799962 2.400076e-01 1.200038e-01 [193,] 0.9055043 1.889914e-01 9.449568e-02 [194,] 0.9267838 1.464323e-01 7.321615e-02 [195,] 0.9442236 1.115528e-01 5.577638e-02 [196,] 0.9567797 8.644066e-02 4.322033e-02 [197,] 0.9711563 5.768744e-02 2.884372e-02 [198,] 0.9789801 4.203987e-02 2.101993e-02 [199,] 0.9855775 2.884495e-02 1.442247e-02 [200,] 0.9900882 1.982368e-02 9.911840e-03 [201,] 0.9923015 1.539703e-02 7.698517e-03 [202,] 0.9952107 9.578533e-03 4.789267e-03 [203,] 0.9945227 1.095458e-02 5.477292e-03 [204,] 0.9937452 1.250950e-02 6.254751e-03 [205,] 0.9928846 1.423083e-02 7.115416e-03 [206,] 0.9918733 1.625333e-02 8.126667e-03 [207,] 0.9907478 1.850449e-02 9.252247e-03 [208,] 0.9895315 2.093698e-02 1.046849e-02 [209,] 0.9881845 2.363093e-02 1.181547e-02 [210,] 0.9865499 2.690024e-02 1.345012e-02 [211,] 0.9848561 3.028783e-02 1.514391e-02 [212,] 0.9834955 3.300899e-02 1.650449e-02 [213,] 0.9814097 3.718056e-02 1.859028e-02 [214,] 0.9791090 4.178205e-02 2.089102e-02 [215,] 0.9765720 4.685603e-02 2.342802e-02 [216,] 0.9741837 5.163261e-02 2.581630e-02 [217,] 0.9711429 5.771412e-02 2.885706e-02 [218,] 0.9682820 6.343604e-02 3.171802e-02 [219,] 0.9648127 7.037457e-02 3.518729e-02 [220,] 0.9608698 7.826035e-02 3.913017e-02 [221,] 0.9563286 8.734270e-02 4.367135e-02 [222,] 0.9516239 9.675223e-02 4.837612e-02 [223,] 0.9464043 1.071913e-01 5.359566e-02 [224,] 0.9412176 1.175648e-01 5.878238e-02 [225,] 0.9352570 1.294861e-01 6.474304e-02 [226,] 0.9291269 1.417461e-01 7.087305e-02 [227,] 0.9222368 1.555265e-01 7.776324e-02 [228,] 0.9148010 1.703981e-01 8.519903e-02 [229,] 0.9068881 1.862239e-01 9.311193e-02 [230,] 0.8988915 2.022170e-01 1.011085e-01 [231,] 0.8899279 2.201442e-01 1.100721e-01 [232,] 0.8804072 2.391857e-01 1.195928e-01 [233,] 0.8703201 2.593597e-01 1.296799e-01 [234,] 0.8597607 2.804786e-01 1.402393e-01 [235,] 0.8485277 3.029447e-01 1.514723e-01 [236,] 0.8374700 3.250600e-01 1.625300e-01 [237,] 0.8232790 3.534419e-01 1.767210e-01 [238,] 0.8585539 2.828922e-01 1.414461e-01 [239,] 0.8890873 2.218254e-01 1.109127e-01 [240,] 0.8806207 2.387585e-01 1.193793e-01 [241,] 0.9078983 1.842033e-01 9.210165e-02 [242,] 0.9305964 1.388071e-01 6.940355e-02 [243,] 0.9249311 1.501378e-01 7.506888e-02 [244,] 0.9445165 1.109671e-01 5.548353e-02 [245,] 0.9382846 1.234308e-01 6.171540e-02 [246,] 0.9315174 1.369652e-01 6.848260e-02 [247,] 0.9240259 1.519483e-01 7.597414e-02 [248,] 0.9164570 1.670860e-01 8.354299e-02 [249,] 0.9094831 1.810338e-01 9.051688e-02 [250,] 0.9048766 1.902468e-01 9.512342e-02 [251,] 0.9288095 1.423810e-01 7.119052e-02 [252,] 0.9215512 1.568977e-01 7.844885e-02 [253,] 0.9424524 1.150952e-01 5.754761e-02 [254,] 0.9590349 8.193027e-02 4.096514e-02 [255,] 0.9541315 9.173698e-02 4.586849e-02 [256,] 0.9494871 1.010258e-01 5.051290e-02 [257,] 0.9646320 7.073592e-02 3.536796e-02 [258,] 0.9603074 7.938519e-02 3.969260e-02 [259,] 0.9729209 5.415829e-02 2.707914e-02 [260,] 0.9691546 6.169085e-02 3.084542e-02 [261,] 0.9795438 4.091247e-02 2.045623e-02 [262,] 0.9774016 4.519685e-02 2.259842e-02 [263,] 0.9855036 2.899282e-02 1.449641e-02 [264,] 0.9911146 1.777088e-02 8.885440e-03 [265,] 0.9948224 1.035528e-02 5.177640e-03 [266,] 0.9941376 1.172489e-02 5.862445e-03 [267,] 0.9931359 1.372828e-02 6.864138e-03 [268,] 0.9920229 1.595418e-02 7.977090e-03 [269,] 0.9909245 1.815104e-02 9.075519e-03 [270,] 0.9894510 2.109803e-02 1.054902e-02 [271,] 0.9951806 9.638775e-03 4.819388e-03 [272,] 0.9942177 1.156454e-02 5.782268e-03 [273,] 0.9967782 6.443577e-03 3.221788e-03 [274,] 0.9961847 7.630584e-03 3.815292e-03 [275,] 0.9954830 9.034100e-03 4.517050e-03 [276,] 0.9946779 1.064414e-02 5.322068e-03 [277,] 0.9936685 1.266296e-02 6.331479e-03 [278,] 0.9925820 1.483601e-02 7.418005e-03 [279,] 0.9957550 8.490098e-03 4.245049e-03 [280,] 0.9949797 1.004069e-02 5.020343e-03 [281,] 0.9973349 5.330287e-03 2.665143e-03 [282,] 0.9967665 6.466923e-03 3.233462e-03 [283,] 0.9983837 3.232637e-03 1.616318e-03 [284,] 0.9980506 3.898885e-03 1.949443e-03 [285,] 0.9976179 4.764188e-03 2.382094e-03 [286,] 0.9971322 5.735694e-03 2.867847e-03 [287,] 0.9966098 6.780357e-03 3.390179e-03 [288,] 0.9982545 3.491045e-03 1.745523e-03 [289,] 0.9978808 4.238466e-03 2.119233e-03 [290,] 0.9990263 1.947488e-03 9.737441e-04 [291,] 0.9988013 2.397429e-03 1.198714e-03 [292,] 0.9985720 2.855994e-03 1.427997e-03 [293,] 0.9993598 1.280371e-03 6.401854e-04 [294,] 0.9992060 1.588008e-03 7.940039e-04 [295,] 0.9990179 1.964204e-03 9.821022e-04 [296,] 0.9996040 7.920943e-04 3.960471e-04 [297,] 0.9994951 1.009828e-03 5.049138e-04 [298,] 0.9993849 1.230220e-03 6.151101e-04 [299,] 0.9997725 4.549800e-04 2.274900e-04 [300,] 0.9999081 1.838831e-04 9.194155e-05 [301,] 0.9998878 2.243433e-04 1.121716e-04 [302,] 0.9999679 6.415857e-05 3.207929e-05 [303,] 0.9999924 1.511891e-05 7.559454e-06 [304,] 0.9999895 2.107204e-05 1.053602e-05 [305,] 0.9999980 4.051899e-06 2.025949e-06 [306,] 0.9999996 7.813511e-07 3.906756e-07 [307,] 0.9999994 1.105512e-06 5.527560e-07 [308,] 0.9999992 1.617642e-06 8.088208e-07 [309,] 0.9999988 2.331371e-06 1.165685e-06 [310,] 0.9999984 3.123875e-06 1.561938e-06 [311,] 0.9999978 4.416212e-06 2.208106e-06 [312,] 0.9999969 6.297446e-06 3.148723e-06 [313,] 0.9999955 8.940832e-06 4.470416e-06 [314,] 0.9999937 1.263775e-05 6.318875e-06 [315,] 0.9999911 1.778359e-05 8.891796e-06 [316,] 0.9999986 2.700422e-06 1.350211e-06 [317,] 0.9999980 3.931241e-06 1.965620e-06 [318,] 0.9999972 5.687950e-06 2.843975e-06 [319,] 0.9999997 6.470672e-07 3.235336e-07 [320,] 1.0000000 4.596317e-08 2.298158e-08 [321,] 1.0000000 7.282579e-08 3.641289e-08 [322,] 0.9999999 1.148189e-07 5.740945e-08 [323,] 0.9999999 1.801224e-07 9.006119e-08 [324,] 0.9999999 2.811391e-07 1.405696e-07 [325,] 0.9999998 4.365632e-07 2.182816e-07 [326,] 0.9999997 6.669655e-07 3.334827e-07 [327,] 0.9999995 1.022999e-06 5.114995e-07 [328,] 0.9999992 1.551186e-06 7.755931e-07 [329,] 0.9999988 2.308018e-06 1.154009e-06 [330,] 0.9999983 3.494050e-06 1.747025e-06 [331,] 0.9999974 5.251293e-06 2.625647e-06 [332,] 0.9999962 7.598105e-06 3.799052e-06 [333,] 0.9999945 1.104293e-05 5.521466e-06 [334,] 0.9999918 1.636080e-05 8.180401e-06 [335,] 0.9999879 2.410050e-05 1.205025e-05 [336,] 0.9999824 3.529559e-05 1.764779e-05 [337,] 0.9999747 5.061577e-05 2.530789e-05 [338,] 0.9999633 7.330384e-05 3.665192e-05 [339,] 0.9999478 1.044632e-04 5.223158e-05 [340,] 0.9999253 1.494888e-04 7.474440e-05 [341,] 0.9998937 2.126111e-04 1.063055e-04 [342,] 0.9998515 2.969205e-04 1.484602e-04 [343,] 0.9997929 4.142819e-04 2.071409e-04 [344,] 0.9997152 5.696573e-04 2.848286e-04 [345,] 0.9996156 7.687655e-04 3.843828e-04 [346,] 0.9994685 1.062944e-03 5.314720e-04 [347,] 0.9992717 1.456505e-03 7.282524e-04 [348,] 0.9990087 1.982649e-03 9.913247e-04 [349,] 0.9986377 2.724583e-03 1.362291e-03 [350,] 0.9981697 3.660601e-03 1.830301e-03 [351,] 0.9975576 4.884887e-03 2.442444e-03 [352,] 0.9967630 6.474076e-03 3.237038e-03 [353,] 0.9957771 8.445877e-03 4.222938e-03 [354,] 0.9944798 1.104049e-02 5.520244e-03 [355,] 0.9928346 1.433080e-02 7.165402e-03 [356,] 0.9971114 5.777179e-03 2.888590e-03 [357,] 0.9962287 7.542623e-03 3.771311e-03 [358,] 0.9949957 1.000851e-02 5.004255e-03 [359,] 0.9934099 1.318011e-02 6.590057e-03 [360,] 0.9913879 1.722419e-02 8.612094e-03 [361,] 0.9888323 2.233550e-02 1.116775e-02 [362,] 0.9857224 2.855529e-02 1.427765e-02 [363,] 0.9817657 3.646851e-02 1.823426e-02 [364,] 0.9768955 4.620907e-02 2.310453e-02 [365,] 0.9704872 5.902560e-02 2.951280e-02 [366,] 0.9630149 7.397010e-02 3.698505e-02 [367,] 0.9542157 9.156869e-02 4.578435e-02 [368,] 0.9437836 1.124329e-01 5.621644e-02 [369,] 0.9332733 1.334535e-01 6.672673e-02 [370,] 0.9200214 1.599573e-01 7.997864e-02 [371,] 0.9045822 1.908355e-01 9.541777e-02 [372,] 0.8864679 2.270641e-01 1.135321e-01 [373,] 0.8660338 2.679325e-01 1.339662e-01 [374,] 0.8408458 3.183083e-01 1.591542e-01 [375,] 0.8248154 3.503692e-01 1.751846e-01 [376,] 0.7973036 4.053927e-01 2.026964e-01 [377,] 0.7706138 4.587724e-01 2.293862e-01 [378,] 0.7408099 5.183801e-01 2.591901e-01 [379,] 0.7085939 5.828121e-01 2.914061e-01 [380,] 0.6752046 6.495909e-01 3.247954e-01 [381,] 0.6396707 7.206587e-01 3.603293e-01 [382,] 0.6057325 7.885351e-01 3.942675e-01 [383,] 0.5707726 8.584548e-01 4.292274e-01 [384,] 0.5345039 9.309922e-01 4.654961e-01 [385,] 0.4963204 9.926407e-01 5.036796e-01 [386,] 0.4574908 9.149817e-01 5.425092e-01 [387,] 0.6799367 6.401266e-01 3.200633e-01 [388,] 0.6450563 7.098875e-01 3.549437e-01 [389,] 0.6157480 7.685041e-01 3.842520e-01 [390,] 0.5665791 8.668419e-01 4.334209e-01 [391,] 0.5230604 9.538793e-01 4.769396e-01 [392,] 0.5608803 8.782393e-01 4.391197e-01 [393,] 0.5083019 9.833963e-01 4.916981e-01 [394,] 0.4690639 9.381278e-01 5.309361e-01 [395,] 0.4340420 8.680841e-01 5.659580e-01 [396,] 0.5860884 8.278231e-01 4.139116e-01 [397,] 0.5373235 9.253530e-01 4.626765e-01 [398,] 0.4847728 9.695457e-01 5.152272e-01 [399,] 0.4331903 8.663806e-01 5.668097e-01 [400,] 0.4096764 8.193528e-01 5.903236e-01 [401,] 0.3860032 7.720064e-01 6.139968e-01 [402,] 0.3293756 6.587512e-01 6.706244e-01 [403,] 0.3119451 6.238901e-01 6.880549e-01 [404,] 0.4577870 9.155741e-01 5.422130e-01 [405,] 0.5692825 8.614349e-01 4.307175e-01 [406,] 0.7821115 4.357771e-01 2.178885e-01 [407,] 0.7060240 5.879520e-01 2.939760e-01 [408,] 0.6156869 7.686263e-01 3.843131e-01 [409,] 0.5786610 8.426780e-01 4.213390e-01 [410,] 0.8528958 2.942084e-01 1.471042e-01 [411,] 0.7727166 4.545667e-01 2.272834e-01 [412,] 0.6577749 6.844503e-01 3.422251e-01 [413,] 0.5233202 9.533595e-01 4.766798e-01 [414,] 0.7330536 5.338927e-01 2.669464e-01 > postscript(file="/var/www/html/rcomp/tmp/13tdy1291208775.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$resid) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/23tdy1291208775.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$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/33tdy1291208775.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4wkcj1291208775.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5wkcj1291208775.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 0.43293581 0.23239332 -0.02906483 0.33008759 -0.35131265 -0.44957037 7 8 9 10 11 12 0.52943665 -0.26818786 -0.61779874 -0.52978349 0.53276565 0.41613882 13 14 15 16 17 18 -0.20601138 0.26699770 -0.48578614 0.42550073 0.58132657 -0.49751323 19 20 21 22 23 24 -0.54645068 0.55252200 -0.65210778 -0.69843164 0.46039586 0.59395424 25 26 27 28 29 30 0.37020477 0.28345647 -0.52943794 0.20277225 0.27699963 0.27581767 31 32 33 34 35 36 -0.67651550 -0.65138491 -0.67215069 -0.65957760 0.49809064 0.50202496 37 38 39 40 41 42 0.34943671 -0.59164014 -0.52085581 0.38246263 0.25914808 0.29307248 43 44 45 46 47 48 0.32799116 0.37386669 0.27489395 -0.70149628 -0.64346182 -0.59072091 49 50 51 52 53 54 0.35430531 0.28118013 -0.60259299 -0.52443854 -0.53821088 -0.62687094 55 56 57 58 59 60 -0.57888273 0.32550517 0.25913457 0.30787744 0.31002748 -0.66423740 61 62 63 64 65 66 -0.68009488 0.24658854 -0.70531491 -0.67326022 0.28597908 0.25811008 67 68 69 70 71 72 0.23905231 -0.67507442 0.38359411 -0.61551461 -0.76225453 0.24812997 73 74 75 76 77 78 0.31551042 0.26156090 0.33259396 -0.73889110 0.31595963 0.23593282 79 80 81 82 83 84 0.27677127 -0.75865595 0.27132753 -0.66253050 0.33855867 0.22855453 85 86 87 88 89 90 0.29751384 -0.69332482 0.39595052 0.29293311 0.31723574 0.29888932 91 92 93 94 95 96 0.30751962 -0.69807119 0.31801737 -0.70263724 0.26481137 -0.73652044 97 98 99 100 101 102 0.30681413 -0.80193158 0.32270161 -0.74766448 -0.71864211 0.27131681 103 104 105 106 107 108 0.32363232 0.28729268 0.27266835 0.27510089 -0.74446203 -0.69653640 109 110 111 112 113 114 0.30665270 -0.74972558 0.27344052 -0.77150768 0.28207300 -0.74830300 115 116 117 118 119 120 -0.75904337 0.27086835 0.26054414 0.28748925 -0.75782506 0.23952578 121 122 123 124 125 126 0.36611330 0.25396284 0.40447888 -0.67886500 -0.75435964 -0.74541345 127 128 129 130 131 132 0.23481989 0.24802628 0.25764067 0.23481989 0.24276031 0.24726269 133 134 135 136 137 138 0.23481989 0.26599053 0.23684546 0.23649803 0.24623610 0.23558488 139 140 141 142 143 144 0.23634882 0.23481989 0.24066004 0.23481989 0.23789258 0.24025505 145 146 147 148 149 150 0.25595443 0.24000048 0.23481989 0.24389839 0.23756545 0.23470745 151 152 153 154 155 156 0.23585876 0.27377432 0.24298203 0.23636865 0.23701363 0.23481989 157 158 159 160 161 162 0.23481989 0.23765691 0.24147668 0.23481989 0.23481989 0.23481989 163 164 165 166 167 168 0.23481989 0.23297331 0.25305441 0.23504923 0.23481989 0.24837324 169 170 171 172 173 174 0.15658986 0.23481989 0.23481989 0.23843506 0.23481989 0.24570568 175 176 177 178 179 180 0.23481989 0.24373175 0.35747989 -0.76569382 0.23481989 0.23481989 181 182 183 184 185 186 0.26436488 -0.74119379 0.24026604 -0.75282388 -0.75746177 -0.75308857 187 188 189 190 191 192 -0.73857113 0.24310873 0.24206452 0.23481989 0.24303364 0.23481989 193 194 195 196 197 198 0.24423558 0.23481989 0.23902437 -0.76518011 -0.61286300 -0.76518011 199 200 201 202 203 204 -0.76518011 -0.73136359 -0.76518011 -0.76518011 -0.76518011 -0.76775502 205 206 207 208 209 210 -0.72833137 -0.75689406 -0.75877780 -0.76518011 -0.74700553 -0.77444136 211 212 213 214 215 216 0.23481989 0.23481989 0.23812980 0.23967849 0.23889437 0.23808475 217 218 219 220 221 222 0.24153295 0.23405074 0.23808475 0.25957415 0.23477055 0.23481989 223 224 225 226 227 228 0.23562663 0.25721916 0.23569479 0.26008430 0.24366427 0.23481989 229 230 231 232 233 234 0.23967999 0.23481989 0.24258536 0.24382045 0.23481989 0.24753519 235 236 237 238 239 240 0.23481989 0.23445076 0.23481989 0.24177067 0.23481989 0.23481989 241 242 243 244 245 246 0.23481989 0.23850898 0.23481989 0.24220134 0.24081959 -0.76518011 247 248 249 250 251 252 -0.76518011 0.25475464 -0.76518011 -0.76518011 0.23607919 -0.76518011 253 254 255 256 257 258 0.23738379 0.27582543 0.29577938 0.23481989 0.23577488 0.24826147 259 260 261 262 263 264 -0.76518011 0.23481989 -0.76518011 -0.76518011 0.26502205 0.24444054 265 266 267 268 269 270 -0.76518011 0.23481989 -0.76518011 0.26784252 -0.76518011 0.28466508 271 272 273 274 275 276 -0.76518011 -0.76518011 -0.76518011 0.26012593 0.23481989 0.24372533 277 278 279 280 281 282 0.26194223 0.23481989 -0.76520776 0.24244016 -0.76518011 0.23481989 283 284 285 286 287 288 0.24402542 0.23481989 0.25439490 0.23481989 -0.76092800 0.23956903 289 290 291 292 293 294 -0.76518011 0.22210868 -0.76518011 0.24745710 0.28070563 0.23481989 295 296 297 298 299 300 0.24277274 -0.75828352 0.23481989 -0.76518011 0.23481989 0.24951175 301 302 303 304 305 306 -0.76052556 0.23124935 0.23645232 -0.76518011 0.23989902 0.25085144 307 308 309 310 311 312 -0.76518011 -0.73683571 0.24639581 -0.76518011 -0.76518011 0.28091768 313 314 315 316 317 318 -0.76518011 -0.74176680 0.24635460 0.24304150 0.23359784 0.25776551 319 320 321 322 323 324 0.24059927 0.23481989 0.23481989 0.23481989 0.23481989 -0.76518011 325 326 327 328 329 330 0.23481989 0.23524808 -0.76518011 -0.76518011 0.23481989 0.23481989 331 332 333 334 335 336 0.23481989 0.23481989 0.23481989 0.23854304 0.23566384 0.23832959 337 338 339 340 341 342 0.23167988 0.23481989 0.23595377 0.24495064 0.24717650 0.23481989 343 344 345 346 347 348 0.23481989 0.23481989 0.23412490 0.23481989 0.23409239 0.23481989 349 350 351 352 353 354 0.23481989 0.23960937 0.23158593 0.24229854 0.24464039 0.23630761 355 356 357 358 359 360 0.23481989 0.23481989 0.25438006 0.23481989 0.23481989 0.23481989 361 362 363 364 365 366 0.23976520 0.23481989 0.23481989 -0.73483613 0.24368290 0.23481989 367 368 369 370 371 372 0.23481989 0.23481989 0.23481989 0.23722540 0.23481989 0.22900052 373 374 375 376 377 378 0.25904003 0.24156077 0.23481989 0.23481989 0.23633457 0.24044613 379 380 381 382 383 384 0.23881790 0.23481989 0.23481989 0.25055216 0.20230949 0.23481989 385 386 387 388 389 390 0.24985634 0.25542715 0.23732079 0.23571886 0.23785683 0.23680560 391 392 393 394 395 396 0.24851588 0.23592627 0.23709030 0.25206781 -0.74930377 0.23503095 397 398 399 400 401 402 0.22862939 -0.35657770 0.24155472 -0.80639508 0.24179596 0.24711152 403 404 405 406 407 408 0.23583698 -0.74224893 0.24021251 0.25423588 0.25125719 0.24385971 409 410 411 412 413 414 0.23945931 0.23472385 0.30706299 -0.76794935 -0.75979571 -0.70792623 415 416 417 418 419 420 0.23986259 0.23225704 0.22298226 -0.74453388 0.26252948 0.22969189 421 422 423 424 425 426 0.23327328 0.32181336 -0.83618760 0.18877903 0.24034166 -0.69269676 427 428 429 430 431 0.20303590 0.51444855 0.24735795 0.31129886 0.14756937 > postscript(file="/var/www/html/rcomp/tmp/6wkcj1291208775.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 0.43293581 NA 1 0.23239332 0.43293581 2 -0.02906483 0.23239332 3 0.33008759 -0.02906483 4 -0.35131265 0.33008759 5 -0.44957037 -0.35131265 6 0.52943665 -0.44957037 7 -0.26818786 0.52943665 8 -0.61779874 -0.26818786 9 -0.52978349 -0.61779874 10 0.53276565 -0.52978349 11 0.41613882 0.53276565 12 -0.20601138 0.41613882 13 0.26699770 -0.20601138 14 -0.48578614 0.26699770 15 0.42550073 -0.48578614 16 0.58132657 0.42550073 17 -0.49751323 0.58132657 18 -0.54645068 -0.49751323 19 0.55252200 -0.54645068 20 -0.65210778 0.55252200 21 -0.69843164 -0.65210778 22 0.46039586 -0.69843164 23 0.59395424 0.46039586 24 0.37020477 0.59395424 25 0.28345647 0.37020477 26 -0.52943794 0.28345647 27 0.20277225 -0.52943794 28 0.27699963 0.20277225 29 0.27581767 0.27699963 30 -0.67651550 0.27581767 31 -0.65138491 -0.67651550 32 -0.67215069 -0.65138491 33 -0.65957760 -0.67215069 34 0.49809064 -0.65957760 35 0.50202496 0.49809064 36 0.34943671 0.50202496 37 -0.59164014 0.34943671 38 -0.52085581 -0.59164014 39 0.38246263 -0.52085581 40 0.25914808 0.38246263 41 0.29307248 0.25914808 42 0.32799116 0.29307248 43 0.37386669 0.32799116 44 0.27489395 0.37386669 45 -0.70149628 0.27489395 46 -0.64346182 -0.70149628 47 -0.59072091 -0.64346182 48 0.35430531 -0.59072091 49 0.28118013 0.35430531 50 -0.60259299 0.28118013 51 -0.52443854 -0.60259299 52 -0.53821088 -0.52443854 53 -0.62687094 -0.53821088 54 -0.57888273 -0.62687094 55 0.32550517 -0.57888273 56 0.25913457 0.32550517 57 0.30787744 0.25913457 58 0.31002748 0.30787744 59 -0.66423740 0.31002748 60 -0.68009488 -0.66423740 61 0.24658854 -0.68009488 62 -0.70531491 0.24658854 63 -0.67326022 -0.70531491 64 0.28597908 -0.67326022 65 0.25811008 0.28597908 66 0.23905231 0.25811008 67 -0.67507442 0.23905231 68 0.38359411 -0.67507442 69 -0.61551461 0.38359411 70 -0.76225453 -0.61551461 71 0.24812997 -0.76225453 72 0.31551042 0.24812997 73 0.26156090 0.31551042 74 0.33259396 0.26156090 75 -0.73889110 0.33259396 76 0.31595963 -0.73889110 77 0.23593282 0.31595963 78 0.27677127 0.23593282 79 -0.75865595 0.27677127 80 0.27132753 -0.75865595 81 -0.66253050 0.27132753 82 0.33855867 -0.66253050 83 0.22855453 0.33855867 84 0.29751384 0.22855453 85 -0.69332482 0.29751384 86 0.39595052 -0.69332482 87 0.29293311 0.39595052 88 0.31723574 0.29293311 89 0.29888932 0.31723574 90 0.30751962 0.29888932 91 -0.69807119 0.30751962 92 0.31801737 -0.69807119 93 -0.70263724 0.31801737 94 0.26481137 -0.70263724 95 -0.73652044 0.26481137 96 0.30681413 -0.73652044 97 -0.80193158 0.30681413 98 0.32270161 -0.80193158 99 -0.74766448 0.32270161 100 -0.71864211 -0.74766448 101 0.27131681 -0.71864211 102 0.32363232 0.27131681 103 0.28729268 0.32363232 104 0.27266835 0.28729268 105 0.27510089 0.27266835 106 -0.74446203 0.27510089 107 -0.69653640 -0.74446203 108 0.30665270 -0.69653640 109 -0.74972558 0.30665270 110 0.27344052 -0.74972558 111 -0.77150768 0.27344052 112 0.28207300 -0.77150768 113 -0.74830300 0.28207300 114 -0.75904337 -0.74830300 115 0.27086835 -0.75904337 116 0.26054414 0.27086835 117 0.28748925 0.26054414 118 -0.75782506 0.28748925 119 0.23952578 -0.75782506 120 0.36611330 0.23952578 121 0.25396284 0.36611330 122 0.40447888 0.25396284 123 -0.67886500 0.40447888 124 -0.75435964 -0.67886500 125 -0.74541345 -0.75435964 126 0.23481989 -0.74541345 127 0.24802628 0.23481989 128 0.25764067 0.24802628 129 0.23481989 0.25764067 130 0.24276031 0.23481989 131 0.24726269 0.24276031 132 0.23481989 0.24726269 133 0.26599053 0.23481989 134 0.23684546 0.26599053 135 0.23649803 0.23684546 136 0.24623610 0.23649803 137 0.23558488 0.24623610 138 0.23634882 0.23558488 139 0.23481989 0.23634882 140 0.24066004 0.23481989 141 0.23481989 0.24066004 142 0.23789258 0.23481989 143 0.24025505 0.23789258 144 0.25595443 0.24025505 145 0.24000048 0.25595443 146 0.23481989 0.24000048 147 0.24389839 0.23481989 148 0.23756545 0.24389839 149 0.23470745 0.23756545 150 0.23585876 0.23470745 151 0.27377432 0.23585876 152 0.24298203 0.27377432 153 0.23636865 0.24298203 154 0.23701363 0.23636865 155 0.23481989 0.23701363 156 0.23481989 0.23481989 157 0.23765691 0.23481989 158 0.24147668 0.23765691 159 0.23481989 0.24147668 160 0.23481989 0.23481989 161 0.23481989 0.23481989 162 0.23481989 0.23481989 163 0.23297331 0.23481989 164 0.25305441 0.23297331 165 0.23504923 0.25305441 166 0.23481989 0.23504923 167 0.24837324 0.23481989 168 0.15658986 0.24837324 169 0.23481989 0.15658986 170 0.23481989 0.23481989 171 0.23843506 0.23481989 172 0.23481989 0.23843506 173 0.24570568 0.23481989 174 0.23481989 0.24570568 175 0.24373175 0.23481989 176 0.35747989 0.24373175 177 -0.76569382 0.35747989 178 0.23481989 -0.76569382 179 0.23481989 0.23481989 180 0.26436488 0.23481989 181 -0.74119379 0.26436488 182 0.24026604 -0.74119379 183 -0.75282388 0.24026604 184 -0.75746177 -0.75282388 185 -0.75308857 -0.75746177 186 -0.73857113 -0.75308857 187 0.24310873 -0.73857113 188 0.24206452 0.24310873 189 0.23481989 0.24206452 190 0.24303364 0.23481989 191 0.23481989 0.24303364 192 0.24423558 0.23481989 193 0.23481989 0.24423558 194 0.23902437 0.23481989 195 -0.76518011 0.23902437 196 -0.61286300 -0.76518011 197 -0.76518011 -0.61286300 198 -0.76518011 -0.76518011 199 -0.73136359 -0.76518011 200 -0.76518011 -0.73136359 201 -0.76518011 -0.76518011 202 -0.76518011 -0.76518011 203 -0.76775502 -0.76518011 204 -0.72833137 -0.76775502 205 -0.75689406 -0.72833137 206 -0.75877780 -0.75689406 207 -0.76518011 -0.75877780 208 -0.74700553 -0.76518011 209 -0.77444136 -0.74700553 210 0.23481989 -0.77444136 211 0.23481989 0.23481989 212 0.23812980 0.23481989 213 0.23967849 0.23812980 214 0.23889437 0.23967849 215 0.23808475 0.23889437 216 0.24153295 0.23808475 217 0.23405074 0.24153295 218 0.23808475 0.23405074 219 0.25957415 0.23808475 220 0.23477055 0.25957415 221 0.23481989 0.23477055 222 0.23562663 0.23481989 223 0.25721916 0.23562663 224 0.23569479 0.25721916 225 0.26008430 0.23569479 226 0.24366427 0.26008430 227 0.23481989 0.24366427 228 0.23967999 0.23481989 229 0.23481989 0.23967999 230 0.24258536 0.23481989 231 0.24382045 0.24258536 232 0.23481989 0.24382045 233 0.24753519 0.23481989 234 0.23481989 0.24753519 235 0.23445076 0.23481989 236 0.23481989 0.23445076 237 0.24177067 0.23481989 238 0.23481989 0.24177067 239 0.23481989 0.23481989 240 0.23481989 0.23481989 241 0.23850898 0.23481989 242 0.23481989 0.23850898 243 0.24220134 0.23481989 244 0.24081959 0.24220134 245 -0.76518011 0.24081959 246 -0.76518011 -0.76518011 247 0.25475464 -0.76518011 248 -0.76518011 0.25475464 249 -0.76518011 -0.76518011 250 0.23607919 -0.76518011 251 -0.76518011 0.23607919 252 0.23738379 -0.76518011 253 0.27582543 0.23738379 254 0.29577938 0.27582543 255 0.23481989 0.29577938 256 0.23577488 0.23481989 257 0.24826147 0.23577488 258 -0.76518011 0.24826147 259 0.23481989 -0.76518011 260 -0.76518011 0.23481989 261 -0.76518011 -0.76518011 262 0.26502205 -0.76518011 263 0.24444054 0.26502205 264 -0.76518011 0.24444054 265 0.23481989 -0.76518011 266 -0.76518011 0.23481989 267 0.26784252 -0.76518011 268 -0.76518011 0.26784252 269 0.28466508 -0.76518011 270 -0.76518011 0.28466508 271 -0.76518011 -0.76518011 272 -0.76518011 -0.76518011 273 0.26012593 -0.76518011 274 0.23481989 0.26012593 275 0.24372533 0.23481989 276 0.26194223 0.24372533 277 0.23481989 0.26194223 278 -0.76520776 0.23481989 279 0.24244016 -0.76520776 280 -0.76518011 0.24244016 281 0.23481989 -0.76518011 282 0.24402542 0.23481989 283 0.23481989 0.24402542 284 0.25439490 0.23481989 285 0.23481989 0.25439490 286 -0.76092800 0.23481989 287 0.23956903 -0.76092800 288 -0.76518011 0.23956903 289 0.22210868 -0.76518011 290 -0.76518011 0.22210868 291 0.24745710 -0.76518011 292 0.28070563 0.24745710 293 0.23481989 0.28070563 294 0.24277274 0.23481989 295 -0.75828352 0.24277274 296 0.23481989 -0.75828352 297 -0.76518011 0.23481989 298 0.23481989 -0.76518011 299 0.24951175 0.23481989 300 -0.76052556 0.24951175 301 0.23124935 -0.76052556 302 0.23645232 0.23124935 303 -0.76518011 0.23645232 304 0.23989902 -0.76518011 305 0.25085144 0.23989902 306 -0.76518011 0.25085144 307 -0.73683571 -0.76518011 308 0.24639581 -0.73683571 309 -0.76518011 0.24639581 310 -0.76518011 -0.76518011 311 0.28091768 -0.76518011 312 -0.76518011 0.28091768 313 -0.74176680 -0.76518011 314 0.24635460 -0.74176680 315 0.24304150 0.24635460 316 0.23359784 0.24304150 317 0.25776551 0.23359784 318 0.24059927 0.25776551 319 0.23481989 0.24059927 320 0.23481989 0.23481989 321 0.23481989 0.23481989 322 0.23481989 0.23481989 323 -0.76518011 0.23481989 324 0.23481989 -0.76518011 325 0.23524808 0.23481989 326 -0.76518011 0.23524808 327 -0.76518011 -0.76518011 328 0.23481989 -0.76518011 329 0.23481989 0.23481989 330 0.23481989 0.23481989 331 0.23481989 0.23481989 332 0.23481989 0.23481989 333 0.23854304 0.23481989 334 0.23566384 0.23854304 335 0.23832959 0.23566384 336 0.23167988 0.23832959 337 0.23481989 0.23167988 338 0.23595377 0.23481989 339 0.24495064 0.23595377 340 0.24717650 0.24495064 341 0.23481989 0.24717650 342 0.23481989 0.23481989 343 0.23481989 0.23481989 344 0.23412490 0.23481989 345 0.23481989 0.23412490 346 0.23409239 0.23481989 347 0.23481989 0.23409239 348 0.23481989 0.23481989 349 0.23960937 0.23481989 350 0.23158593 0.23960937 351 0.24229854 0.23158593 352 0.24464039 0.24229854 353 0.23630761 0.24464039 354 0.23481989 0.23630761 355 0.23481989 0.23481989 356 0.25438006 0.23481989 357 0.23481989 0.25438006 358 0.23481989 0.23481989 359 0.23481989 0.23481989 360 0.23976520 0.23481989 361 0.23481989 0.23976520 362 0.23481989 0.23481989 363 -0.73483613 0.23481989 364 0.24368290 -0.73483613 365 0.23481989 0.24368290 366 0.23481989 0.23481989 367 0.23481989 0.23481989 368 0.23481989 0.23481989 369 0.23722540 0.23481989 370 0.23481989 0.23722540 371 0.22900052 0.23481989 372 0.25904003 0.22900052 373 0.24156077 0.25904003 374 0.23481989 0.24156077 375 0.23481989 0.23481989 376 0.23633457 0.23481989 377 0.24044613 0.23633457 378 0.23881790 0.24044613 379 0.23481989 0.23881790 380 0.23481989 0.23481989 381 0.25055216 0.23481989 382 0.20230949 0.25055216 383 0.23481989 0.20230949 384 0.24985634 0.23481989 385 0.25542715 0.24985634 386 0.23732079 0.25542715 387 0.23571886 0.23732079 388 0.23785683 0.23571886 389 0.23680560 0.23785683 390 0.24851588 0.23680560 391 0.23592627 0.24851588 392 0.23709030 0.23592627 393 0.25206781 0.23709030 394 -0.74930377 0.25206781 395 0.23503095 -0.74930377 396 0.22862939 0.23503095 397 -0.35657770 0.22862939 398 0.24155472 -0.35657770 399 -0.80639508 0.24155472 400 0.24179596 -0.80639508 401 0.24711152 0.24179596 402 0.23583698 0.24711152 403 -0.74224893 0.23583698 404 0.24021251 -0.74224893 405 0.25423588 0.24021251 406 0.25125719 0.25423588 407 0.24385971 0.25125719 408 0.23945931 0.24385971 409 0.23472385 0.23945931 410 0.30706299 0.23472385 411 -0.76794935 0.30706299 412 -0.75979571 -0.76794935 413 -0.70792623 -0.75979571 414 0.23986259 -0.70792623 415 0.23225704 0.23986259 416 0.22298226 0.23225704 417 -0.74453388 0.22298226 418 0.26252948 -0.74453388 419 0.22969189 0.26252948 420 0.23327328 0.22969189 421 0.32181336 0.23327328 422 -0.83618760 0.32181336 423 0.18877903 -0.83618760 424 0.24034166 0.18877903 425 -0.69269676 0.24034166 426 0.20303590 -0.69269676 427 0.51444855 0.20303590 428 0.24735795 0.51444855 429 0.31129886 0.24735795 430 0.14756937 0.31129886 431 NA 0.14756937 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] 0.23239332 0.43293581 [2,] -0.02906483 0.23239332 [3,] 0.33008759 -0.02906483 [4,] -0.35131265 0.33008759 [5,] -0.44957037 -0.35131265 [6,] 0.52943665 -0.44957037 [7,] -0.26818786 0.52943665 [8,] -0.61779874 -0.26818786 [9,] -0.52978349 -0.61779874 [10,] 0.53276565 -0.52978349 [11,] 0.41613882 0.53276565 [12,] -0.20601138 0.41613882 [13,] 0.26699770 -0.20601138 [14,] -0.48578614 0.26699770 [15,] 0.42550073 -0.48578614 [16,] 0.58132657 0.42550073 [17,] -0.49751323 0.58132657 [18,] -0.54645068 -0.49751323 [19,] 0.55252200 -0.54645068 [20,] -0.65210778 0.55252200 [21,] -0.69843164 -0.65210778 [22,] 0.46039586 -0.69843164 [23,] 0.59395424 0.46039586 [24,] 0.37020477 0.59395424 [25,] 0.28345647 0.37020477 [26,] -0.52943794 0.28345647 [27,] 0.20277225 -0.52943794 [28,] 0.27699963 0.20277225 [29,] 0.27581767 0.27699963 [30,] -0.67651550 0.27581767 [31,] -0.65138491 -0.67651550 [32,] -0.67215069 -0.65138491 [33,] -0.65957760 -0.67215069 [34,] 0.49809064 -0.65957760 [35,] 0.50202496 0.49809064 [36,] 0.34943671 0.50202496 [37,] -0.59164014 0.34943671 [38,] -0.52085581 -0.59164014 [39,] 0.38246263 -0.52085581 [40,] 0.25914808 0.38246263 [41,] 0.29307248 0.25914808 [42,] 0.32799116 0.29307248 [43,] 0.37386669 0.32799116 [44,] 0.27489395 0.37386669 [45,] -0.70149628 0.27489395 [46,] -0.64346182 -0.70149628 [47,] -0.59072091 -0.64346182 [48,] 0.35430531 -0.59072091 [49,] 0.28118013 0.35430531 [50,] -0.60259299 0.28118013 [51,] -0.52443854 -0.60259299 [52,] -0.53821088 -0.52443854 [53,] -0.62687094 -0.53821088 [54,] -0.57888273 -0.62687094 [55,] 0.32550517 -0.57888273 [56,] 0.25913457 0.32550517 [57,] 0.30787744 0.25913457 [58,] 0.31002748 0.30787744 [59,] -0.66423740 0.31002748 [60,] -0.68009488 -0.66423740 [61,] 0.24658854 -0.68009488 [62,] -0.70531491 0.24658854 [63,] -0.67326022 -0.70531491 [64,] 0.28597908 -0.67326022 [65,] 0.25811008 0.28597908 [66,] 0.23905231 0.25811008 [67,] -0.67507442 0.23905231 [68,] 0.38359411 -0.67507442 [69,] -0.61551461 0.38359411 [70,] -0.76225453 -0.61551461 [71,] 0.24812997 -0.76225453 [72,] 0.31551042 0.24812997 [73,] 0.26156090 0.31551042 [74,] 0.33259396 0.26156090 [75,] -0.73889110 0.33259396 [76,] 0.31595963 -0.73889110 [77,] 0.23593282 0.31595963 [78,] 0.27677127 0.23593282 [79,] -0.75865595 0.27677127 [80,] 0.27132753 -0.75865595 [81,] -0.66253050 0.27132753 [82,] 0.33855867 -0.66253050 [83,] 0.22855453 0.33855867 [84,] 0.29751384 0.22855453 [85,] -0.69332482 0.29751384 [86,] 0.39595052 -0.69332482 [87,] 0.29293311 0.39595052 [88,] 0.31723574 0.29293311 [89,] 0.29888932 0.31723574 [90,] 0.30751962 0.29888932 [91,] -0.69807119 0.30751962 [92,] 0.31801737 -0.69807119 [93,] -0.70263724 0.31801737 [94,] 0.26481137 -0.70263724 [95,] -0.73652044 0.26481137 [96,] 0.30681413 -0.73652044 [97,] -0.80193158 0.30681413 [98,] 0.32270161 -0.80193158 [99,] -0.74766448 0.32270161 [100,] -0.71864211 -0.74766448 [101,] 0.27131681 -0.71864211 [102,] 0.32363232 0.27131681 [103,] 0.28729268 0.32363232 [104,] 0.27266835 0.28729268 [105,] 0.27510089 0.27266835 [106,] -0.74446203 0.27510089 [107,] -0.69653640 -0.74446203 [108,] 0.30665270 -0.69653640 [109,] -0.74972558 0.30665270 [110,] 0.27344052 -0.74972558 [111,] -0.77150768 0.27344052 [112,] 0.28207300 -0.77150768 [113,] -0.74830300 0.28207300 [114,] -0.75904337 -0.74830300 [115,] 0.27086835 -0.75904337 [116,] 0.26054414 0.27086835 [117,] 0.28748925 0.26054414 [118,] -0.75782506 0.28748925 [119,] 0.23952578 -0.75782506 [120,] 0.36611330 0.23952578 [121,] 0.25396284 0.36611330 [122,] 0.40447888 0.25396284 [123,] -0.67886500 0.40447888 [124,] -0.75435964 -0.67886500 [125,] -0.74541345 -0.75435964 [126,] 0.23481989 -0.74541345 [127,] 0.24802628 0.23481989 [128,] 0.25764067 0.24802628 [129,] 0.23481989 0.25764067 [130,] 0.24276031 0.23481989 [131,] 0.24726269 0.24276031 [132,] 0.23481989 0.24726269 [133,] 0.26599053 0.23481989 [134,] 0.23684546 0.26599053 [135,] 0.23649803 0.23684546 [136,] 0.24623610 0.23649803 [137,] 0.23558488 0.24623610 [138,] 0.23634882 0.23558488 [139,] 0.23481989 0.23634882 [140,] 0.24066004 0.23481989 [141,] 0.23481989 0.24066004 [142,] 0.23789258 0.23481989 [143,] 0.24025505 0.23789258 [144,] 0.25595443 0.24025505 [145,] 0.24000048 0.25595443 [146,] 0.23481989 0.24000048 [147,] 0.24389839 0.23481989 [148,] 0.23756545 0.24389839 [149,] 0.23470745 0.23756545 [150,] 0.23585876 0.23470745 [151,] 0.27377432 0.23585876 [152,] 0.24298203 0.27377432 [153,] 0.23636865 0.24298203 [154,] 0.23701363 0.23636865 [155,] 0.23481989 0.23701363 [156,] 0.23481989 0.23481989 [157,] 0.23765691 0.23481989 [158,] 0.24147668 0.23765691 [159,] 0.23481989 0.24147668 [160,] 0.23481989 0.23481989 [161,] 0.23481989 0.23481989 [162,] 0.23481989 0.23481989 [163,] 0.23297331 0.23481989 [164,] 0.25305441 0.23297331 [165,] 0.23504923 0.25305441 [166,] 0.23481989 0.23504923 [167,] 0.24837324 0.23481989 [168,] 0.15658986 0.24837324 [169,] 0.23481989 0.15658986 [170,] 0.23481989 0.23481989 [171,] 0.23843506 0.23481989 [172,] 0.23481989 0.23843506 [173,] 0.24570568 0.23481989 [174,] 0.23481989 0.24570568 [175,] 0.24373175 0.23481989 [176,] 0.35747989 0.24373175 [177,] -0.76569382 0.35747989 [178,] 0.23481989 -0.76569382 [179,] 0.23481989 0.23481989 [180,] 0.26436488 0.23481989 [181,] -0.74119379 0.26436488 [182,] 0.24026604 -0.74119379 [183,] -0.75282388 0.24026604 [184,] -0.75746177 -0.75282388 [185,] -0.75308857 -0.75746177 [186,] -0.73857113 -0.75308857 [187,] 0.24310873 -0.73857113 [188,] 0.24206452 0.24310873 [189,] 0.23481989 0.24206452 [190,] 0.24303364 0.23481989 [191,] 0.23481989 0.24303364 [192,] 0.24423558 0.23481989 [193,] 0.23481989 0.24423558 [194,] 0.23902437 0.23481989 [195,] -0.76518011 0.23902437 [196,] -0.61286300 -0.76518011 [197,] -0.76518011 -0.61286300 [198,] -0.76518011 -0.76518011 [199,] -0.73136359 -0.76518011 [200,] -0.76518011 -0.73136359 [201,] -0.76518011 -0.76518011 [202,] -0.76518011 -0.76518011 [203,] -0.76775502 -0.76518011 [204,] -0.72833137 -0.76775502 [205,] -0.75689406 -0.72833137 [206,] -0.75877780 -0.75689406 [207,] -0.76518011 -0.75877780 [208,] -0.74700553 -0.76518011 [209,] -0.77444136 -0.74700553 [210,] 0.23481989 -0.77444136 [211,] 0.23481989 0.23481989 [212,] 0.23812980 0.23481989 [213,] 0.23967849 0.23812980 [214,] 0.23889437 0.23967849 [215,] 0.23808475 0.23889437 [216,] 0.24153295 0.23808475 [217,] 0.23405074 0.24153295 [218,] 0.23808475 0.23405074 [219,] 0.25957415 0.23808475 [220,] 0.23477055 0.25957415 [221,] 0.23481989 0.23477055 [222,] 0.23562663 0.23481989 [223,] 0.25721916 0.23562663 [224,] 0.23569479 0.25721916 [225,] 0.26008430 0.23569479 [226,] 0.24366427 0.26008430 [227,] 0.23481989 0.24366427 [228,] 0.23967999 0.23481989 [229,] 0.23481989 0.23967999 [230,] 0.24258536 0.23481989 [231,] 0.24382045 0.24258536 [232,] 0.23481989 0.24382045 [233,] 0.24753519 0.23481989 [234,] 0.23481989 0.24753519 [235,] 0.23445076 0.23481989 [236,] 0.23481989 0.23445076 [237,] 0.24177067 0.23481989 [238,] 0.23481989 0.24177067 [239,] 0.23481989 0.23481989 [240,] 0.23481989 0.23481989 [241,] 0.23850898 0.23481989 [242,] 0.23481989 0.23850898 [243,] 0.24220134 0.23481989 [244,] 0.24081959 0.24220134 [245,] -0.76518011 0.24081959 [246,] -0.76518011 -0.76518011 [247,] 0.25475464 -0.76518011 [248,] -0.76518011 0.25475464 [249,] -0.76518011 -0.76518011 [250,] 0.23607919 -0.76518011 [251,] -0.76518011 0.23607919 [252,] 0.23738379 -0.76518011 [253,] 0.27582543 0.23738379 [254,] 0.29577938 0.27582543 [255,] 0.23481989 0.29577938 [256,] 0.23577488 0.23481989 [257,] 0.24826147 0.23577488 [258,] -0.76518011 0.24826147 [259,] 0.23481989 -0.76518011 [260,] -0.76518011 0.23481989 [261,] -0.76518011 -0.76518011 [262,] 0.26502205 -0.76518011 [263,] 0.24444054 0.26502205 [264,] -0.76518011 0.24444054 [265,] 0.23481989 -0.76518011 [266,] -0.76518011 0.23481989 [267,] 0.26784252 -0.76518011 [268,] -0.76518011 0.26784252 [269,] 0.28466508 -0.76518011 [270,] -0.76518011 0.28466508 [271,] -0.76518011 -0.76518011 [272,] -0.76518011 -0.76518011 [273,] 0.26012593 -0.76518011 [274,] 0.23481989 0.26012593 [275,] 0.24372533 0.23481989 [276,] 0.26194223 0.24372533 [277,] 0.23481989 0.26194223 [278,] -0.76520776 0.23481989 [279,] 0.24244016 -0.76520776 [280,] -0.76518011 0.24244016 [281,] 0.23481989 -0.76518011 [282,] 0.24402542 0.23481989 [283,] 0.23481989 0.24402542 [284,] 0.25439490 0.23481989 [285,] 0.23481989 0.25439490 [286,] -0.76092800 0.23481989 [287,] 0.23956903 -0.76092800 [288,] -0.76518011 0.23956903 [289,] 0.22210868 -0.76518011 [290,] -0.76518011 0.22210868 [291,] 0.24745710 -0.76518011 [292,] 0.28070563 0.24745710 [293,] 0.23481989 0.28070563 [294,] 0.24277274 0.23481989 [295,] -0.75828352 0.24277274 [296,] 0.23481989 -0.75828352 [297,] -0.76518011 0.23481989 [298,] 0.23481989 -0.76518011 [299,] 0.24951175 0.23481989 [300,] -0.76052556 0.24951175 [301,] 0.23124935 -0.76052556 [302,] 0.23645232 0.23124935 [303,] -0.76518011 0.23645232 [304,] 0.23989902 -0.76518011 [305,] 0.25085144 0.23989902 [306,] -0.76518011 0.25085144 [307,] -0.73683571 -0.76518011 [308,] 0.24639581 -0.73683571 [309,] -0.76518011 0.24639581 [310,] -0.76518011 -0.76518011 [311,] 0.28091768 -0.76518011 [312,] -0.76518011 0.28091768 [313,] -0.74176680 -0.76518011 [314,] 0.24635460 -0.74176680 [315,] 0.24304150 0.24635460 [316,] 0.23359784 0.24304150 [317,] 0.25776551 0.23359784 [318,] 0.24059927 0.25776551 [319,] 0.23481989 0.24059927 [320,] 0.23481989 0.23481989 [321,] 0.23481989 0.23481989 [322,] 0.23481989 0.23481989 [323,] -0.76518011 0.23481989 [324,] 0.23481989 -0.76518011 [325,] 0.23524808 0.23481989 [326,] -0.76518011 0.23524808 [327,] -0.76518011 -0.76518011 [328,] 0.23481989 -0.76518011 [329,] 0.23481989 0.23481989 [330,] 0.23481989 0.23481989 [331,] 0.23481989 0.23481989 [332,] 0.23481989 0.23481989 [333,] 0.23854304 0.23481989 [334,] 0.23566384 0.23854304 [335,] 0.23832959 0.23566384 [336,] 0.23167988 0.23832959 [337,] 0.23481989 0.23167988 [338,] 0.23595377 0.23481989 [339,] 0.24495064 0.23595377 [340,] 0.24717650 0.24495064 [341,] 0.23481989 0.24717650 [342,] 0.23481989 0.23481989 [343,] 0.23481989 0.23481989 [344,] 0.23412490 0.23481989 [345,] 0.23481989 0.23412490 [346,] 0.23409239 0.23481989 [347,] 0.23481989 0.23409239 [348,] 0.23481989 0.23481989 [349,] 0.23960937 0.23481989 [350,] 0.23158593 0.23960937 [351,] 0.24229854 0.23158593 [352,] 0.24464039 0.24229854 [353,] 0.23630761 0.24464039 [354,] 0.23481989 0.23630761 [355,] 0.23481989 0.23481989 [356,] 0.25438006 0.23481989 [357,] 0.23481989 0.25438006 [358,] 0.23481989 0.23481989 [359,] 0.23481989 0.23481989 [360,] 0.23976520 0.23481989 [361,] 0.23481989 0.23976520 [362,] 0.23481989 0.23481989 [363,] -0.73483613 0.23481989 [364,] 0.24368290 -0.73483613 [365,] 0.23481989 0.24368290 [366,] 0.23481989 0.23481989 [367,] 0.23481989 0.23481989 [368,] 0.23481989 0.23481989 [369,] 0.23722540 0.23481989 [370,] 0.23481989 0.23722540 [371,] 0.22900052 0.23481989 [372,] 0.25904003 0.22900052 [373,] 0.24156077 0.25904003 [374,] 0.23481989 0.24156077 [375,] 0.23481989 0.23481989 [376,] 0.23633457 0.23481989 [377,] 0.24044613 0.23633457 [378,] 0.23881790 0.24044613 [379,] 0.23481989 0.23881790 [380,] 0.23481989 0.23481989 [381,] 0.25055216 0.23481989 [382,] 0.20230949 0.25055216 [383,] 0.23481989 0.20230949 [384,] 0.24985634 0.23481989 [385,] 0.25542715 0.24985634 [386,] 0.23732079 0.25542715 [387,] 0.23571886 0.23732079 [388,] 0.23785683 0.23571886 [389,] 0.23680560 0.23785683 [390,] 0.24851588 0.23680560 [391,] 0.23592627 0.24851588 [392,] 0.23709030 0.23592627 [393,] 0.25206781 0.23709030 [394,] -0.74930377 0.25206781 [395,] 0.23503095 -0.74930377 [396,] 0.22862939 0.23503095 [397,] -0.35657770 0.22862939 [398,] 0.24155472 -0.35657770 [399,] -0.80639508 0.24155472 [400,] 0.24179596 -0.80639508 [401,] 0.24711152 0.24179596 [402,] 0.23583698 0.24711152 [403,] -0.74224893 0.23583698 [404,] 0.24021251 -0.74224893 [405,] 0.25423588 0.24021251 [406,] 0.25125719 0.25423588 [407,] 0.24385971 0.25125719 [408,] 0.23945931 0.24385971 [409,] 0.23472385 0.23945931 [410,] 0.30706299 0.23472385 [411,] -0.76794935 0.30706299 [412,] -0.75979571 -0.76794935 [413,] -0.70792623 -0.75979571 [414,] 0.23986259 -0.70792623 [415,] 0.23225704 0.23986259 [416,] 0.22298226 0.23225704 [417,] -0.74453388 0.22298226 [418,] 0.26252948 -0.74453388 [419,] 0.22969189 0.26252948 [420,] 0.23327328 0.22969189 [421,] 0.32181336 0.23327328 [422,] -0.83618760 0.32181336 [423,] 0.18877903 -0.83618760 [424,] 0.24034166 0.18877903 [425,] -0.69269676 0.24034166 [426,] 0.20303590 -0.69269676 [427,] 0.51444855 0.20303590 [428,] 0.24735795 0.51444855 [429,] 0.31129886 0.24735795 [430,] 0.14756937 0.31129886 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 0.23239332 0.43293581 2 -0.02906483 0.23239332 3 0.33008759 -0.02906483 4 -0.35131265 0.33008759 5 -0.44957037 -0.35131265 6 0.52943665 -0.44957037 7 -0.26818786 0.52943665 8 -0.61779874 -0.26818786 9 -0.52978349 -0.61779874 10 0.53276565 -0.52978349 11 0.41613882 0.53276565 12 -0.20601138 0.41613882 13 0.26699770 -0.20601138 14 -0.48578614 0.26699770 15 0.42550073 -0.48578614 16 0.58132657 0.42550073 17 -0.49751323 0.58132657 18 -0.54645068 -0.49751323 19 0.55252200 -0.54645068 20 -0.65210778 0.55252200 21 -0.69843164 -0.65210778 22 0.46039586 -0.69843164 23 0.59395424 0.46039586 24 0.37020477 0.59395424 25 0.28345647 0.37020477 26 -0.52943794 0.28345647 27 0.20277225 -0.52943794 28 0.27699963 0.20277225 29 0.27581767 0.27699963 30 -0.67651550 0.27581767 31 -0.65138491 -0.67651550 32 -0.67215069 -0.65138491 33 -0.65957760 -0.67215069 34 0.49809064 -0.65957760 35 0.50202496 0.49809064 36 0.34943671 0.50202496 37 -0.59164014 0.34943671 38 -0.52085581 -0.59164014 39 0.38246263 -0.52085581 40 0.25914808 0.38246263 41 0.29307248 0.25914808 42 0.32799116 0.29307248 43 0.37386669 0.32799116 44 0.27489395 0.37386669 45 -0.70149628 0.27489395 46 -0.64346182 -0.70149628 47 -0.59072091 -0.64346182 48 0.35430531 -0.59072091 49 0.28118013 0.35430531 50 -0.60259299 0.28118013 51 -0.52443854 -0.60259299 52 -0.53821088 -0.52443854 53 -0.62687094 -0.53821088 54 -0.57888273 -0.62687094 55 0.32550517 -0.57888273 56 0.25913457 0.32550517 57 0.30787744 0.25913457 58 0.31002748 0.30787744 59 -0.66423740 0.31002748 60 -0.68009488 -0.66423740 61 0.24658854 -0.68009488 62 -0.70531491 0.24658854 63 -0.67326022 -0.70531491 64 0.28597908 -0.67326022 65 0.25811008 0.28597908 66 0.23905231 0.25811008 67 -0.67507442 0.23905231 68 0.38359411 -0.67507442 69 -0.61551461 0.38359411 70 -0.76225453 -0.61551461 71 0.24812997 -0.76225453 72 0.31551042 0.24812997 73 0.26156090 0.31551042 74 0.33259396 0.26156090 75 -0.73889110 0.33259396 76 0.31595963 -0.73889110 77 0.23593282 0.31595963 78 0.27677127 0.23593282 79 -0.75865595 0.27677127 80 0.27132753 -0.75865595 81 -0.66253050 0.27132753 82 0.33855867 -0.66253050 83 0.22855453 0.33855867 84 0.29751384 0.22855453 85 -0.69332482 0.29751384 86 0.39595052 -0.69332482 87 0.29293311 0.39595052 88 0.31723574 0.29293311 89 0.29888932 0.31723574 90 0.30751962 0.29888932 91 -0.69807119 0.30751962 92 0.31801737 -0.69807119 93 -0.70263724 0.31801737 94 0.26481137 -0.70263724 95 -0.73652044 0.26481137 96 0.30681413 -0.73652044 97 -0.80193158 0.30681413 98 0.32270161 -0.80193158 99 -0.74766448 0.32270161 100 -0.71864211 -0.74766448 101 0.27131681 -0.71864211 102 0.32363232 0.27131681 103 0.28729268 0.32363232 104 0.27266835 0.28729268 105 0.27510089 0.27266835 106 -0.74446203 0.27510089 107 -0.69653640 -0.74446203 108 0.30665270 -0.69653640 109 -0.74972558 0.30665270 110 0.27344052 -0.74972558 111 -0.77150768 0.27344052 112 0.28207300 -0.77150768 113 -0.74830300 0.28207300 114 -0.75904337 -0.74830300 115 0.27086835 -0.75904337 116 0.26054414 0.27086835 117 0.28748925 0.26054414 118 -0.75782506 0.28748925 119 0.23952578 -0.75782506 120 0.36611330 0.23952578 121 0.25396284 0.36611330 122 0.40447888 0.25396284 123 -0.67886500 0.40447888 124 -0.75435964 -0.67886500 125 -0.74541345 -0.75435964 126 0.23481989 -0.74541345 127 0.24802628 0.23481989 128 0.25764067 0.24802628 129 0.23481989 0.25764067 130 0.24276031 0.23481989 131 0.24726269 0.24276031 132 0.23481989 0.24726269 133 0.26599053 0.23481989 134 0.23684546 0.26599053 135 0.23649803 0.23684546 136 0.24623610 0.23649803 137 0.23558488 0.24623610 138 0.23634882 0.23558488 139 0.23481989 0.23634882 140 0.24066004 0.23481989 141 0.23481989 0.24066004 142 0.23789258 0.23481989 143 0.24025505 0.23789258 144 0.25595443 0.24025505 145 0.24000048 0.25595443 146 0.23481989 0.24000048 147 0.24389839 0.23481989 148 0.23756545 0.24389839 149 0.23470745 0.23756545 150 0.23585876 0.23470745 151 0.27377432 0.23585876 152 0.24298203 0.27377432 153 0.23636865 0.24298203 154 0.23701363 0.23636865 155 0.23481989 0.23701363 156 0.23481989 0.23481989 157 0.23765691 0.23481989 158 0.24147668 0.23765691 159 0.23481989 0.24147668 160 0.23481989 0.23481989 161 0.23481989 0.23481989 162 0.23481989 0.23481989 163 0.23297331 0.23481989 164 0.25305441 0.23297331 165 0.23504923 0.25305441 166 0.23481989 0.23504923 167 0.24837324 0.23481989 168 0.15658986 0.24837324 169 0.23481989 0.15658986 170 0.23481989 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0.23481989 283 0.23481989 0.24402542 284 0.25439490 0.23481989 285 0.23481989 0.25439490 286 -0.76092800 0.23481989 287 0.23956903 -0.76092800 288 -0.76518011 0.23956903 289 0.22210868 -0.76518011 290 -0.76518011 0.22210868 291 0.24745710 -0.76518011 292 0.28070563 0.24745710 293 0.23481989 0.28070563 294 0.24277274 0.23481989 295 -0.75828352 0.24277274 296 0.23481989 -0.75828352 297 -0.76518011 0.23481989 298 0.23481989 -0.76518011 299 0.24951175 0.23481989 300 -0.76052556 0.24951175 301 0.23124935 -0.76052556 302 0.23645232 0.23124935 303 -0.76518011 0.23645232 304 0.23989902 -0.76518011 305 0.25085144 0.23989902 306 -0.76518011 0.25085144 307 -0.73683571 -0.76518011 308 0.24639581 -0.73683571 309 -0.76518011 0.24639581 310 -0.76518011 -0.76518011 311 0.28091768 -0.76518011 312 -0.76518011 0.28091768 313 -0.74176680 -0.76518011 314 0.24635460 -0.74176680 315 0.24304150 0.24635460 316 0.23359784 0.24304150 317 0.25776551 0.23359784 318 0.24059927 0.25776551 319 0.23481989 0.24059927 320 0.23481989 0.23481989 321 0.23481989 0.23481989 322 0.23481989 0.23481989 323 -0.76518011 0.23481989 324 0.23481989 -0.76518011 325 0.23524808 0.23481989 326 -0.76518011 0.23524808 327 -0.76518011 -0.76518011 328 0.23481989 -0.76518011 329 0.23481989 0.23481989 330 0.23481989 0.23481989 331 0.23481989 0.23481989 332 0.23481989 0.23481989 333 0.23854304 0.23481989 334 0.23566384 0.23854304 335 0.23832959 0.23566384 336 0.23167988 0.23832959 337 0.23481989 0.23167988 338 0.23595377 0.23481989 339 0.24495064 0.23595377 340 0.24717650 0.24495064 341 0.23481989 0.24717650 342 0.23481989 0.23481989 343 0.23481989 0.23481989 344 0.23412490 0.23481989 345 0.23481989 0.23412490 346 0.23409239 0.23481989 347 0.23481989 0.23409239 348 0.23481989 0.23481989 349 0.23960937 0.23481989 350 0.23158593 0.23960937 351 0.24229854 0.23158593 352 0.24464039 0.24229854 353 0.23630761 0.24464039 354 0.23481989 0.23630761 355 0.23481989 0.23481989 356 0.25438006 0.23481989 357 0.23481989 0.25438006 358 0.23481989 0.23481989 359 0.23481989 0.23481989 360 0.23976520 0.23481989 361 0.23481989 0.23976520 362 0.23481989 0.23481989 363 -0.73483613 0.23481989 364 0.24368290 -0.73483613 365 0.23481989 0.24368290 366 0.23481989 0.23481989 367 0.23481989 0.23481989 368 0.23481989 0.23481989 369 0.23722540 0.23481989 370 0.23481989 0.23722540 371 0.22900052 0.23481989 372 0.25904003 0.22900052 373 0.24156077 0.25904003 374 0.23481989 0.24156077 375 0.23481989 0.23481989 376 0.23633457 0.23481989 377 0.24044613 0.23633457 378 0.23881790 0.24044613 379 0.23481989 0.23881790 380 0.23481989 0.23481989 381 0.25055216 0.23481989 382 0.20230949 0.25055216 383 0.23481989 0.20230949 384 0.24985634 0.23481989 385 0.25542715 0.24985634 386 0.23732079 0.25542715 387 0.23571886 0.23732079 388 0.23785683 0.23571886 389 0.23680560 0.23785683 390 0.24851588 0.23680560 391 0.23592627 0.24851588 392 0.23709030 0.23592627 393 0.25206781 0.23709030 394 -0.74930377 0.25206781 395 0.23503095 -0.74930377 396 0.22862939 0.23503095 397 -0.35657770 0.22862939 398 0.24155472 -0.35657770 399 -0.80639508 0.24155472 400 0.24179596 -0.80639508 401 0.24711152 0.24179596 402 0.23583698 0.24711152 403 -0.74224893 0.23583698 404 0.24021251 -0.74224893 405 0.25423588 0.24021251 406 0.25125719 0.25423588 407 0.24385971 0.25125719 408 0.23945931 0.24385971 409 0.23472385 0.23945931 410 0.30706299 0.23472385 411 -0.76794935 0.30706299 412 -0.75979571 -0.76794935 413 -0.70792623 -0.75979571 414 0.23986259 -0.70792623 415 0.23225704 0.23986259 416 0.22298226 0.23225704 417 -0.74453388 0.22298226 418 0.26252948 -0.74453388 419 0.22969189 0.26252948 420 0.23327328 0.22969189 421 0.32181336 0.23327328 422 -0.83618760 0.32181336 423 0.18877903 -0.83618760 424 0.24034166 0.18877903 425 -0.69269676 0.24034166 426 0.20303590 -0.69269676 427 0.51444855 0.20303590 428 0.24735795 0.51444855 429 0.31129886 0.24735795 430 0.14756937 0.31129886 > 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/7pbt41291208775.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/8z2t71291208775.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/9z2t71291208775.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) > plot(mylm, las = 1, sub='Residual Diagnostics') > par(opar) > dev.off() null device 1 > if (n > n25) { + postscript(file="/var/www/html/rcomp/tmp/10z2t71291208775.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') + grid() + dev.off() + } null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) > a<-table.row.end(a) > myeq <- colnames(x)[1] > myeq <- paste(myeq, '[t] = ', sep='') > for (i in 1:k){ + if (mysum$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/11ec8y1291208775.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/1263811291208775.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/13d5nc1291208775.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/146vmx1291208775.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/15rwkl1291208775.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/16n60c1291208775.tab") + } > > try(system("convert tmp/13tdy1291208775.ps tmp/13tdy1291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/23tdy1291208775.ps tmp/23tdy1291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/33tdy1291208775.ps tmp/33tdy1291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/4wkcj1291208775.ps tmp/4wkcj1291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/5wkcj1291208775.ps tmp/5wkcj1291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/6wkcj1291208775.ps tmp/6wkcj1291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/7pbt41291208775.ps tmp/7pbt41291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/8z2t71291208775.ps tmp/8z2t71291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/9z2t71291208775.ps tmp/9z2t71291208775.png",intern=TRUE)) character(0) > try(system("convert tmp/10z2t71291208775.ps tmp/10z2t71291208775.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 13.106 2.255 27.747