R version 2.9.0 (2009-04-17) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. 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,69863 + ,318765 + ,1 + ,6341 + ,24 + ,63255 + ,286146 + ,1 + ,1164 + ,17 + ,57320 + ,306844 + ,1 + ,3310 + ,33 + ,75230 + ,307705 + ,0 + ,1366 + ,7 + ,79420 + ,312448 + ,0 + ,965 + ,3 + ,73490 + ,299715 + ,0 + ,3256 + ,66 + ,35250 + ,373399 + ,1 + ,1135 + ,17 + ,62285 + ,299446 + ,0 + ,1270 + ,26 + ,69206 + ,325586 + ,0 + ,661 + ,3 + ,65920 + ,291221 + ,0 + ,1013 + ,2 + ,69770 + ,261173 + ,0 + ,2844 + ,67 + ,72683 + ,255027 + ,1 + ,11528 + ,70 + ,-14545 + ,-78375 + ,0 + ,6526 + ,26 + ,55830 + ,-58143 + ,0 + ,2264 + ,24 + ,55174 + ,227033 + ,1 + ,4461 + ,94 + ,67038 + ,235098 + ,0 + ,3999 + ,30 + ,51252 + ,21267 + ,0 + ,35624 + ,223 + ,157278 + ,238675 + ,0 + ,9252 + ,48 + ,79510 + ,197687 + ,0 + ,15236 + ,90 + ,77440 + ,418341 + ,0 + ,18073 + ,180 + ,27284 + ,-297706) + ,dim=c(5 + ,431) + ,dimnames=list(c('Group' + ,'Costs' + ,'Trades' + ,'Dividends' + ,'Wealth ') + ,1:431)) > y <- array(NA,dim=c(5,431),dimnames=list(c('Group','Costs','Trades','Dividends','Wealth '),1:431)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = '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 Dividends Wealth\r 1 1 162556 1081 213118 6282929 2 1 29790 309 81767 4324047 3 1 87550 458 153198 4108272 4 0 84738 588 -26007 -1212617 5 1 54660 299 126942 1485329 6 1 42634 156 157214 1779876 7 0 40949 481 129352 1367203 8 1 42312 323 234817 2519076 9 1 37704 452 60448 912684 10 1 16275 109 47818 1443586 11 0 25830 115 245546 1220017 12 0 12679 110 48020 984885 13 1 18014 239 -1710 1457425 14 0 43556 247 32648 -572920 15 1 24524 497 95350 929144 16 0 6532 103 151352 1151176 17 0 7123 109 288170 790090 18 1 20813 502 114337 774497 19 1 37597 248 37884 990576 20 0 17821 373 122844 454195 21 1 12988 119 82340 876607 22 1 22330 84 79801 711969 23 0 13326 102 165548 702380 24 0 16189 295 116384 264449 25 0 7146 105 134028 450033 26 0 15824 64 63838 541063 27 1 26088 267 74996 588864 28 0 11326 129 31080 -37216 29 0 8568 37 32168 783310 30 0 14416 361 49857 467359 31 1 3369 28 87161 688779 32 1 11819 85 106113 608419 33 1 6620 44 80570 696348 34 1 4519 49 102129 597793 35 0 2220 22 301670 821730 36 0 18562 155 102313 377934 37 0 10327 91 88577 651939 38 1 5336 81 112477 697458 39 1 2365 79 191778 700368 40 0 4069 145 79804 225986 41 0 7710 816 128294 348695 42 0 13718 61 96448 373683 43 0 4525 226 93811 501709 44 0 6869 105 117520 413743 45 0 4628 62 69159 379825 46 1 3653 24 101792 336260 47 1 1265 26 210568 636765 48 1 7489 322 136996 481231 49 0 4901 84 121920 469107 50 0 2284 33 76403 211928 51 1 3160 108 108094 563925 52 1 4150 150 134759 511939 53 1 7285 115 188873 521016 54 1 1134 162 146216 543856 55 1 4658 158 156608 329304 56 0 2384 97 61348 423262 57 0 3748 9 50350 509665 58 0 5371 66 87720 455881 59 0 1285 107 99489 367772 60 1 9327 101 87419 406339 61 1 5565 47 94355 493408 62 0 1528 38 60326 232942 63 1 3122 34 94670 416002 64 1 7317 84 82425 337430 65 0 2675 79 59017 361517 66 0 13253 947 90829 360962 67 0 880 74 80791 235561 68 1 2053 53 100423 408247 69 0 1424 94 131116 450296 70 1 4036 63 100269 418799 71 1 3045 58 27330 247405 72 0 5119 49 39039 378519 73 0 1431 34 106885 326638 74 0 554 11 79285 328233 75 0 1975 35 118881 386225 76 1 1286 17 77623 283662 77 0 1012 47 114768 370225 78 0 810 43 74015 269236 79 0 1280 117 69465 365732 80 1 666 171 117869 420383 81 0 1380 26 60982 345811 82 1 4608 73 90131 431809 83 0 876 59 138971 418876 84 0 814 18 39625 297476 85 0 514 15 102725 416776 86 1 5692 72 64239 357257 87 0 3642 86 90262 458343 88 0 540 14 103960 388386 89 0 2099 64 106611 358934 90 0 567 11 103345 407560 91 0 2001 52 95551 392558 92 1 2949 41 82903 373177 93 0 2253 99 63593 428370 94 1 6533 75 126910 369419 95 0 1889 45 37527 358649 96 1 3055 43 60247 376641 97 0 272 8 112995 467427 98 1 1414 198 70184 364885 99 0 2564 22 130140 436230 100 1 1383 11 73221 329118 101 1 1261 33 76114 317365 102 0 975 23 90534 286849 103 0 3366 80 108479 376685 104 0 576 18 113761 407198 105 0 1306 28 68696 377772 106 0 746 23 71561 271483 107 1 3192 60 59831 153661 108 1 2045 20 97890 513294 109 0 5477 59 101481 324881 110 1 1932 36 72954 264512 111 0 936 30 67939 420968 112 1 3437 47 48022 129302 113 0 5131 71 86111 191521 114 1 2397 14 74020 268673 115 1 1389 9 57530 353179 116 0 1503 39 56364 354624 117 0 402 26 84990 363713 118 0 2239 21 88590 456657 119 1 2234 16 77200 211742 120 0 837 69 61262 338381 121 0 10579 92 110309 418530 122 0 875 14 67000 351483 123 0 1395 103 93099 372928 124 1 1659 29 107577 485538 125 1 2647 37 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54323 311594 291 1 0 0 60720 325560 292 0 165 24 62841 335962 293 0 453 21 81125 372426 294 0 0 0 60720 325560 295 0 53 14 59506 319844 296 1 382 21 59365 355822 297 0 0 0 60720 325560 298 1 0 0 60720 325560 299 0 0 0 60720 325560 300 0 0 0 60720 325560 301 1 30 4 60798 324047 302 0 290 2 58790 311464 303 0 0 0 60720 325560 304 1 0 0 60720 325560 305 0 366 53 61808 353417 306 0 2 9 60735 325590 307 1 0 0 60720 325560 308 1 209 13 64016 328576 309 0 384 22 54683 326126 310 1 0 0 60720 325560 311 1 0 0 60720 325560 312 0 365 83 87192 369376 313 1 0 0 60720 325560 314 1 49 8 64107 332013 315 0 3 4 60761 325871 316 0 133 14 65990 342165 317 0 32 1 59988 324967 318 0 368 17 61167 314832 319 0 1 6 60719 325557 320 0 0 0 60720 325560 321 0 0 0 60720 325560 322 0 0 0 60720 325560 323 0 0 0 60720 325560 324 1 0 0 60720 325560 325 0 0 0 60720 325560 326 0 22 2 60722 322649 327 1 0 0 60720 325560 328 1 0 0 60720 325560 329 0 0 0 60720 325560 330 0 0 0 60720 325560 331 0 0 0 60720 325560 332 0 0 0 60720 325560 333 0 0 0 60720 325560 334 0 96 5 60379 324598 335 0 1 2 60727 325567 336 0 0 0 60720 325560 337 0 81 7 60925 324005 338 0 0 0 60720 325560 339 0 26 1 60896 325748 340 0 125 13 59734 323385 341 0 304 15 62969 315409 342 0 0 0 60720 325560 343 0 0 0 60720 325560 344 0 0 0 60720 325560 345 0 0 0 60720 325560 346 0 0 0 60720 325560 347 0 119 6 59118 312275 348 0 0 0 60720 325560 349 0 0 0 60720 325560 350 0 0 0 60720 325560 351 0 312 14 58598 320576 352 0 60 10 61124 325246 353 0 587 12 59595 332961 354 0 135 2 62065 323010 355 0 0 0 60720 325560 356 0 0 0 60720 325560 357 0 514 52 78780 345253 358 0 0 0 60720 325560 359 0 0 0 60720 325560 360 0 0 0 60720 325560 361 0 1 4 60722 325559 362 0 0 0 60720 325560 363 0 0 0 60720 325560 364 1 58 3 61600 319634 365 0 180 11 59635 319951 366 0 0 0 60720 325560 367 0 0 0 60720 325560 368 0 0 0 60720 325560 369 0 0 0 60720 325560 370 0 0 0 60720 325560 371 0 0 0 60720 325560 372 0 448 40 59781 318519 373 0 227 9 76644 343222 374 0 174 1 64820 317234 375 0 0 0 60720 325560 376 0 0 0 60720 325560 377 0 121 24 56178 314025 378 0 607 11 60436 320249 379 0 0 0 60720 325560 380 0 0 0 60720 325560 381 0 0 0 60720 325560 382 0 530 60 73433 349365 383 0 571 80 41477 289197 384 0 0 0 60720 325560 385 0 78 16 62700 329245 386 0 2489 40 67804 240869 387 0 131 6 59661 327182 388 0 923 8 58620 322876 389 0 72 3 60398 323117 390 0 572 16 58580 306351 391 0 397 10 62710 335137 392 0 450 8 59325 308271 393 0 622 7 60950 301731 394 0 694 8 68060 382409 395 1 3425 12 83620 279230 396 0 562 13 58456 298731 397 0 4917 42 52811 243650 398 1 1442 118 121173 532682 399 0 529 9 63870 319771 400 1 2126 138 21001 171493 401 0 1061 5 70415 347262 402 0 776 9 64230 343945 403 0 611 8 59190 311874 404 1 1526 25 69351 302211 405 0 592 7 64270 316708 406 0 1182 13 70694 333463 407 0 621 16 68005 344282 408 0 989 11 58930 319635 409 0 438 11 58320 301186 410 0 726 3 69980 300381 411 0 1303 61 69863 318765 412 1 6341 24 63255 286146 413 1 1164 17 57320 306844 414 1 3310 33 75230 307705 415 0 1366 7 79420 312448 416 0 965 3 73490 299715 417 0 3256 66 35250 373399 418 1 1135 17 62285 299446 419 0 1270 26 69206 325586 420 0 661 3 65920 291221 421 0 1013 2 69770 261173 422 0 2844 67 72683 255027 423 1 11528 70 -14545 -78375 424 0 6526 26 55830 -58143 425 0 2264 24 55174 227033 426 1 4461 94 67038 235098 427 0 3999 30 51252 21267 428 0 35624 223 157278 238675 429 0 9252 48 79510 197687 430 0 15236 90 77440 418341 431 0 18073 180 27284 -297706 > k <- length(x[1,]) > df <- as.data.frame(x) > (mylm <- lm(df)) Call: lm(formula = df) Coefficients: (Intercept) Costs Trades Dividends `Wealth\r` 1.483e-01 1.199e-06 1.473e-04 8.067e-07 1.522e-07 > (mysum <- summary(mylm)) Call: lm(formula = df) Residuals: Min 1Q Median 3Q Max -0.6303 -0.2511 -0.2469 0.5777 0.8512 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.483e-01 5.321e-02 2.788 0.00554 ** Costs 1.199e-06 3.376e-06 0.355 0.72271 Trades 1.473e-04 3.038e-04 0.485 0.62811 Dividends 8.067e-07 7.495e-07 1.076 0.28239 `Wealth\r` 1.522e-07 7.062e-08 2.155 0.03175 * --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.4387 on 426 degrees of freedom Multiple R-squared: 0.05311, Adjusted R-squared: 0.04422 F-statistic: 5.974 on 4 and 426 DF, p-value: 0.0001102 > 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,] 0.1731530 3.463061e-01 8.268470e-01 [2,] 0.5053119 9.893762e-01 4.946881e-01 [3,] 0.3652892 7.305784e-01 6.347108e-01 [4,] 0.5603039 8.793922e-01 4.396961e-01 [5,] 0.7202271 5.595458e-01 2.797729e-01 [6,] 0.6559079 6.881842e-01 3.440921e-01 [7,] 0.6095368 7.809265e-01 3.904632e-01 [8,] 0.6221537 7.556927e-01 3.778463e-01 [9,] 0.6645017 6.709966e-01 3.354983e-01 [10,] 0.6008868 7.982264e-01 3.991132e-01 [11,] 0.5874925 8.250150e-01 4.125075e-01 [12,] 0.5716121 8.567757e-01 4.283879e-01 [13,] 0.5818705 8.362590e-01 4.181295e-01 [14,] 0.5767904 8.464191e-01 4.232096e-01 [15,] 0.5784591 8.430818e-01 4.215409e-01 [16,] 0.5631870 8.736259e-01 4.368130e-01 [17,] 0.5444201 9.111597e-01 4.555799e-01 [18,] 0.5236904 9.526191e-01 4.763096e-01 [19,] 0.5462941 9.074118e-01 4.537059e-01 [20,] 0.5663994 8.672013e-01 4.336006e-01 [21,] 0.5689164 8.621673e-01 4.310836e-01 [22,] 0.6074687 7.850626e-01 3.925313e-01 [23,] 0.6249338 7.501324e-01 3.750662e-01 [24,] 0.6580323 6.839354e-01 3.419677e-01 [25,] 0.6939616 6.120767e-01 3.060384e-01 [26,] 0.7035661 5.928678e-01 2.964339e-01 [27,] 0.7205946 5.588107e-01 2.794054e-01 [28,] 0.6937663 6.124673e-01 3.062337e-01 [29,] 0.6848643 6.302715e-01 3.151357e-01 [30,] 0.6940493 6.119014e-01 3.059507e-01 [31,] 0.7141185 5.717629e-01 2.858815e-01 [32,] 0.7568124 4.863751e-01 2.431876e-01 [33,] 0.7526849 4.946301e-01 2.473151e-01 [34,] 0.7229664 5.540672e-01 2.770336e-01 [35,] 0.7201438 5.597125e-01 2.798562e-01 [36,] 0.7131422 5.737157e-01 2.868578e-01 [37,] 0.7018764 5.962473e-01 2.981236e-01 [38,] 0.6996383 6.007233e-01 3.003617e-01 [39,] 0.7334490 5.331020e-01 2.665510e-01 [40,] 0.7735330 4.529341e-01 2.264670e-01 [41,] 0.8091660 3.816679e-01 1.908340e-01 [42,] 0.8051908 3.896184e-01 1.948092e-01 [43,] 0.7990407 4.019186e-01 2.009593e-01 [44,] 0.8156459 3.687082e-01 1.843541e-01 [45,] 0.8348689 3.302622e-01 1.651311e-01 [46,] 0.8543317 2.913365e-01 1.456683e-01 [47,] 0.8670567 2.658866e-01 1.329433e-01 [48,] 0.8824818 2.350364e-01 1.175182e-01 [49,] 0.8842639 2.314722e-01 1.157361e-01 [50,] 0.8869815 2.260371e-01 1.130185e-01 [51,] 0.8858381 2.283238e-01 1.141619e-01 [52,] 0.8819860 2.360279e-01 1.180140e-01 [53,] 0.8933958 2.132084e-01 1.066042e-01 [54,] 0.9020322 1.959357e-01 9.796784e-02 [55,] 0.8988627 2.022746e-01 1.011373e-01 [56,] 0.9085134 1.829732e-01 9.148658e-02 [57,] 0.9178040 1.643921e-01 8.219603e-02 [58,] 0.9167176 1.665647e-01 8.328237e-02 [59,] 0.9112616 1.774769e-01 8.873844e-02 [60,] 0.9085998 1.828004e-01 9.140019e-02 [61,] 0.9174505 1.650990e-01 8.254950e-02 [62,] 0.9162817 1.674366e-01 8.371831e-02 [63,] 0.9244899 1.510202e-01 7.551011e-02 [64,] 0.9317248 1.365503e-01 6.827517e-02 [65,] 0.9319720 1.360560e-01 6.802798e-02 [66,] 0.9306256 1.387488e-01 6.937441e-02 [67,] 0.9292562 1.414877e-01 7.074384e-02 [68,] 0.9273735 1.452529e-01 7.262646e-02 [69,] 0.9361092 1.277816e-01 6.389080e-02 [70,] 0.9343781 1.312438e-01 6.562192e-02 [71,] 0.9320819 1.358362e-01 6.791812e-02 [72,] 0.9300369 1.399262e-01 6.996308e-02 [73,] 0.9373205 1.253589e-01 6.267947e-02 [74,] 0.9351137 1.297726e-01 6.488631e-02 [75,] 0.9431117 1.137765e-01 5.688826e-02 [76,] 0.9412204 1.175593e-01 5.877964e-02 [77,] 0.9386887 1.226225e-01 6.131125e-02 [78,] 0.9362926 1.274148e-01 6.370741e-02 [79,] 0.9454814 1.090372e-01 5.451860e-02 [80,] 0.9433073 1.133854e-01 5.669272e-02 [81,] 0.9408654 1.182693e-01 5.913464e-02 [82,] 0.9381728 1.236543e-01 6.182717e-02 [83,] 0.9353050 1.293900e-01 6.469502e-02 [84,] 0.9320833 1.358334e-01 6.791672e-02 [85,] 0.9421274 1.157453e-01 5.787264e-02 [86,] 0.9391293 1.217415e-01 6.087074e-02 [87,] 0.9474471 1.051058e-01 5.255289e-02 [88,] 0.9442308 1.115384e-01 5.576918e-02 [89,] 0.9534871 9.302577e-02 4.651288e-02 [90,] 0.9513011 9.739782e-02 4.869891e-02 [91,] 0.9585550 8.288993e-02 4.144497e-02 [92,] 0.9566432 8.671350e-02 4.335675e-02 [93,] 0.9636269 7.274618e-02 3.637309e-02 [94,] 0.9694254 6.114919e-02 3.057460e-02 [95,] 0.9678127 6.437464e-02 3.218732e-02 [96,] 0.9660651 6.786978e-02 3.393489e-02 [97,] 0.9645428 7.091445e-02 3.545723e-02 [98,] 0.9623706 7.525885e-02 3.762942e-02 [99,] 0.9600268 7.994639e-02 3.997319e-02 [100,] 0.9668226 6.635476e-02 3.317738e-02 [101,] 0.9724833 5.503332e-02 2.751666e-02 [102,] 0.9708305 5.833909e-02 2.916955e-02 [103,] 0.9756829 4.863424e-02 2.431712e-02 [104,] 0.9742210 5.155800e-02 2.577900e-02 [105,] 0.9789881 4.202373e-02 2.101186e-02 [106,] 0.9776230 4.475403e-02 2.237701e-02 [107,] 0.9814916 3.701689e-02 1.850845e-02 [108,] 0.9851241 2.975172e-02 1.487586e-02 [109,] 0.9842239 3.155225e-02 1.577612e-02 [110,] 0.9833426 3.331486e-02 1.665743e-02 [111,] 0.9823712 3.525769e-02 1.762885e-02 [112,] 0.9854827 2.903470e-02 1.451735e-02 [113,] 0.9845179 3.096413e-02 1.548207e-02 [114,] 0.9834886 3.302276e-02 1.651138e-02 [115,] 0.9823907 3.521869e-02 1.760935e-02 [116,] 0.9813740 3.725207e-02 1.862603e-02 [117,] 0.9845022 3.099565e-02 1.549782e-02 [118,] 0.9876419 2.471615e-02 1.235807e-02 [119,] 0.9901757 1.964868e-02 9.824342e-03 [120,] 0.9895105 2.097892e-02 1.048946e-02 [121,] 0.9887646 2.247089e-02 1.123545e-02 [122,] 0.9879313 2.413747e-02 1.206873e-02 [123,] 0.9870067 2.598655e-02 1.299327e-02 [124,] 0.9859824 2.803528e-02 1.401764e-02 [125,] 0.9849120 3.017599e-02 1.508799e-02 [126,] 0.9836592 3.268160e-02 1.634080e-02 [127,] 0.9822757 3.544853e-02 1.772427e-02 [128,] 0.9807496 3.850085e-02 1.925043e-02 [129,] 0.9790823 4.183535e-02 2.091768e-02 [130,] 0.9772530 4.549406e-02 2.274703e-02 [131,] 0.9752266 4.954673e-02 2.477337e-02 [132,] 0.9730043 5.399137e-02 2.699568e-02 [133,] 0.9705705 5.885897e-02 2.942948e-02 [134,] 0.9679192 6.416155e-02 3.208077e-02 [135,] 0.9650138 6.997233e-02 3.498617e-02 [136,] 0.9618420 7.631602e-02 3.815801e-02 [137,] 0.9584025 8.319500e-02 4.159750e-02 [138,] 0.9547577 9.048450e-02 4.524225e-02 [139,] 0.9506940 9.861192e-02 4.930596e-02 [140,] 0.9462921 1.074158e-01 5.370790e-02 [141,] 0.9415580 1.168840e-01 5.844202e-02 [142,] 0.9364178 1.271644e-01 6.358218e-02 [143,] 0.9308867 1.382267e-01 6.911333e-02 [144,] 0.9249171 1.501657e-01 7.508287e-02 [145,] 0.9189786 1.620428e-01 8.102139e-02 [146,] 0.9121416 1.757167e-01 8.785836e-02 [147,] 0.9047917 1.904166e-01 9.520830e-02 [148,] 0.8970063 2.059874e-01 1.029937e-01 [149,] 0.8886778 2.226445e-01 1.113222e-01 [150,] 0.8798191 2.403617e-01 1.201809e-01 [151,] 0.8704558 2.590885e-01 1.295442e-01 [152,] 0.8606209 2.787583e-01 1.393791e-01 [153,] 0.8501028 2.997944e-01 1.498972e-01 [154,] 0.8390107 3.219787e-01 1.609893e-01 [155,] 0.8273392 3.453216e-01 1.726608e-01 [156,] 0.8150859 3.698282e-01 1.849141e-01 [157,] 0.8026353 3.947293e-01 1.973647e-01 [158,] 0.7901240 4.197520e-01 2.098760e-01 [159,] 0.7761710 4.476581e-01 2.238290e-01 [160,] 0.7616529 4.766941e-01 2.383471e-01 [161,] 0.7467639 5.064723e-01 2.532361e-01 [162,] 0.7311549 5.376901e-01 2.688451e-01 [163,] 0.7150301 5.699397e-01 2.849699e-01 [164,] 0.6984130 6.031740e-01 3.015870e-01 [165,] 0.6814312 6.371376e-01 3.185688e-01 [166,] 0.6639145 6.721710e-01 3.360855e-01 [167,] 0.6462426 7.075148e-01 3.537574e-01 [168,] 0.6279594 7.440812e-01 3.720406e-01 [169,] 0.6095185 7.809630e-01 3.904815e-01 [170,] 0.5906217 8.187567e-01 4.093783e-01 [171,] 0.6417871 7.164259e-01 3.582129e-01 [172,] 0.6234985 7.530030e-01 3.765015e-01 [173,] 0.6048979 7.902041e-01 3.951021e-01 [174,] 0.5877581 8.244838e-01 4.122419e-01 [175,] 0.6366886 7.266228e-01 3.633114e-01 [176,] 0.6192354 7.615291e-01 3.807646e-01 [177,] 0.6682879 6.634243e-01 3.317121e-01 [178,] 0.7141675 5.716650e-01 2.858325e-01 [179,] 0.7559529 4.880942e-01 2.440471e-01 [180,] 0.7930903 4.138193e-01 2.069097e-01 [181,] 0.7795095 4.409810e-01 2.204905e-01 [182,] 0.7652558 4.694884e-01 2.347442e-01 [183,] 0.7504858 4.990283e-01 2.495142e-01 [184,] 0.7353167 5.293666e-01 2.646833e-01 [185,] 0.7195490 5.609020e-01 2.804510e-01 [186,] 0.7035047 5.929907e-01 2.964953e-01 [187,] 0.6868283 6.263433e-01 3.131717e-01 [188,] 0.6697826 6.604348e-01 3.302174e-01 [189,] 0.7159304 5.681392e-01 2.840696e-01 [190,] 0.7548998 4.902003e-01 2.451002e-01 [191,] 0.7939376 4.121248e-01 2.060624e-01 [192,] 0.8289735 3.420530e-01 1.710265e-01 [193,] 0.8619402 2.761196e-01 1.380598e-01 [194,] 0.8886159 2.227681e-01 1.113841e-01 [195,] 0.9114418 1.771163e-01 8.855816e-02 [196,] 0.9306626 1.386748e-01 6.933740e-02 [197,] 0.9455073 1.089854e-01 5.449271e-02 [198,] 0.9603040 7.939198e-02 3.969599e-02 [199,] 0.9704954 5.900928e-02 2.950464e-02 [200,] 0.9787007 4.259852e-02 2.129926e-02 [201,] 0.9847629 3.047410e-02 1.523705e-02 [202,] 0.9885665 2.286692e-02 1.143346e-02 [203,] 0.9921231 1.575386e-02 7.876928e-03 [204,] 0.9910964 1.780721e-02 8.903605e-03 [205,] 0.9899495 2.010095e-02 1.005047e-02 [206,] 0.9887345 2.253098e-02 1.126549e-02 [207,] 0.9873250 2.535001e-02 1.267500e-02 [208,] 0.9857541 2.849171e-02 1.424585e-02 [209,] 0.9840079 3.198426e-02 1.599213e-02 [210,] 0.9820910 3.581799e-02 1.790900e-02 [211,] 0.9800360 3.992794e-02 1.996397e-02 [212,] 0.9776887 4.462253e-02 2.231126e-02 [213,] 0.9752882 4.942366e-02 2.471183e-02 [214,] 0.9724142 5.517160e-02 2.758580e-02 [215,] 0.9693167 6.136650e-02 3.068325e-02 [216,] 0.9659359 6.812828e-02 3.406414e-02 [217,] 0.9622373 7.552543e-02 3.776271e-02 [218,] 0.9582163 8.356732e-02 4.178366e-02 [219,] 0.9539666 9.206676e-02 4.603338e-02 [220,] 0.9492241 1.015518e-01 5.077590e-02 [221,] 0.9440909 1.118182e-01 5.590910e-02 [222,] 0.9384075 1.231850e-01 6.159248e-02 [223,] 0.9324211 1.351579e-01 6.757894e-02 [224,] 0.9259144 1.481711e-01 7.408557e-02 [225,] 0.9190027 1.619947e-01 8.099733e-02 [226,] 0.9116055 1.767889e-01 8.839446e-02 [227,] 0.9038741 1.922517e-01 9.612587e-02 [228,] 0.8954661 2.090679e-01 1.045339e-01 [229,] 0.8865352 2.269297e-01 1.134648e-01 [230,] 0.8770585 2.458830e-01 1.229415e-01 [231,] 0.8671134 2.657733e-01 1.328866e-01 [232,] 0.8565348 2.869305e-01 1.434652e-01 [233,] 0.8453964 3.092072e-01 1.546036e-01 [234,] 0.8336966 3.326068e-01 1.663034e-01 [235,] 0.8215092 3.569816e-01 1.784908e-01 [236,] 0.8086949 3.826102e-01 1.913051e-01 [237,] 0.7954606 4.090787e-01 2.045394e-01 [238,] 0.7812814 4.374372e-01 2.187186e-01 [239,] 0.8198725 3.602551e-01 1.801275e-01 [240,] 0.8543325 2.913349e-01 1.456675e-01 [241,] 0.8429058 3.141885e-01 1.570942e-01 [242,] 0.8746824 2.506353e-01 1.253176e-01 [243,] 0.9021000 1.958001e-01 9.790004e-02 [244,] 0.8936987 2.126026e-01 1.063013e-01 [245,] 0.9182956 1.634089e-01 8.170443e-02 [246,] 0.9103528 1.792944e-01 8.964720e-02 [247,] 0.9024150 1.951700e-01 9.758498e-02 [248,] 0.8939621 2.120758e-01 1.060379e-01 [249,] 0.8844959 2.310082e-01 1.155041e-01 [250,] 0.8750560 2.498880e-01 1.249440e-01 [251,] 0.8661705 2.676591e-01 1.338295e-01 [252,] 0.8958633 2.082735e-01 1.041367e-01 [253,] 0.8864280 2.271440e-01 1.135720e-01 [254,] 0.9131612 1.736777e-01 8.683884e-02 [255,] 0.9353448 1.293103e-01 6.465516e-02 [256,] 0.9285004 1.429992e-01 7.149960e-02 [257,] 0.9216078 1.567843e-01 7.839216e-02 [258,] 0.9424398 1.151203e-01 5.756015e-02 [259,] 0.9361833 1.276333e-01 6.381667e-02 [260,] 0.9541915 9.161698e-02 4.580849e-02 [261,] 0.9489105 1.021790e-01 5.108950e-02 [262,] 0.9642347 7.153057e-02 3.576529e-02 [263,] 0.9597705 8.045898e-02 4.022949e-02 [264,] 0.9725965 5.480700e-02 2.740350e-02 [265,] 0.9820633 3.587346e-02 1.793673e-02 [266,] 0.9887677 2.246461e-02 1.123230e-02 [267,] 0.9871064 2.578729e-02 1.289365e-02 [268,] 0.9851548 2.969035e-02 1.484518e-02 [269,] 0.9832110 3.357790e-02 1.678895e-02 [270,] 0.9810782 3.784350e-02 1.892175e-02 [271,] 0.9783624 4.327516e-02 2.163758e-02 [272,] 0.9844407 3.111864e-02 1.555932e-02 [273,] 0.9822151 3.556975e-02 1.778488e-02 [274,] 0.9890197 2.196061e-02 1.098030e-02 [275,] 0.9872854 2.542928e-02 1.271464e-02 [276,] 0.9859274 2.814516e-02 1.407258e-02 [277,] 0.9837710 3.245799e-02 1.622900e-02 [278,] 0.9813175 3.736498e-02 1.868249e-02 [279,] 0.9785686 4.286279e-02 2.143139e-02 [280,] 0.9867710 2.645804e-02 1.322902e-02 [281,] 0.9847045 3.059101e-02 1.529551e-02 [282,] 0.9909611 1.807782e-02 9.038909e-03 [283,] 0.9899635 2.007302e-02 1.003651e-02 [284,] 0.9943919 1.121620e-02 5.608098e-03 [285,] 0.9934750 1.305009e-02 6.525043e-03 [286,] 0.9923307 1.533870e-02 7.669348e-03 [287,] 0.9909731 1.805377e-02 9.026887e-03 [288,] 0.9895095 2.098108e-02 1.049054e-02 [289,] 0.9936740 1.265199e-02 6.325997e-03 [290,] 0.9925080 1.498398e-02 7.491989e-03 [291,] 0.9960678 7.864364e-03 3.932182e-03 [292,] 0.9952858 9.428386e-03 4.714193e-03 [293,] 0.9943662 1.126754e-02 5.633772e-03 [294,] 0.9971409 5.718216e-03 2.859108e-03 [295,] 0.9965425 6.915064e-03 3.457532e-03 [296,] 0.9958288 8.342453e-03 4.171226e-03 [297,] 0.9980274 3.945263e-03 1.972632e-03 [298,] 0.9977296 4.540828e-03 2.270414e-03 [299,] 0.9972482 5.503591e-03 2.751795e-03 [300,] 0.9987917 2.416678e-03 1.208339e-03 [301,] 0.9994945 1.010925e-03 5.054627e-04 [302,] 0.9993796 1.240889e-03 6.204443e-04 [303,] 0.9997818 4.363676e-04 2.181838e-04 [304,] 0.9999345 1.309495e-04 6.547473e-05 [305,] 0.9999260 1.479168e-04 7.395842e-05 [306,] 0.9999816 3.671157e-05 1.835578e-05 [307,] 0.9999960 7.987804e-06 3.993902e-06 [308,] 0.9999944 1.112166e-05 5.560831e-06 [309,] 0.9999924 1.521325e-05 7.606626e-06 [310,] 0.9999894 2.110183e-05 1.055092e-05 [311,] 0.9999858 2.847444e-05 1.423722e-05 [312,] 0.9999805 3.891325e-05 1.945662e-05 [313,] 0.9999733 5.341209e-05 2.670605e-05 [314,] 0.9999635 7.300403e-05 3.650202e-05 [315,] 0.9999503 9.935743e-05 4.967872e-05 [316,] 0.9999327 1.346422e-04 6.732112e-05 [317,] 0.9999861 2.777805e-05 1.388902e-05 [318,] 0.9999806 3.877224e-05 1.938612e-05 [319,] 0.9999731 5.375113e-05 2.687557e-05 [320,] 0.9999956 8.851402e-06 4.425701e-06 [321,] 0.9999995 1.006599e-06 5.032995e-07 [322,] 0.9999992 1.510807e-06 7.554033e-07 [323,] 0.9999989 2.256752e-06 1.128376e-06 [324,] 0.9999983 3.354724e-06 1.677362e-06 [325,] 0.9999975 4.962523e-06 2.481261e-06 [326,] 0.9999963 7.304597e-06 3.652298e-06 [327,] 0.9999947 1.062535e-05 5.312674e-06 [328,] 0.9999923 1.544341e-05 7.721703e-06 [329,] 0.9999888 2.239078e-05 1.119539e-05 [330,] 0.9999840 3.198254e-05 1.599127e-05 [331,] 0.9999771 4.589434e-05 2.294717e-05 [332,] 0.9999673 6.543948e-05 3.271974e-05 [333,] 0.9999545 9.094337e-05 4.547168e-05 [334,] 0.9999371 1.257792e-04 6.288962e-05 [335,] 0.9999116 1.767586e-04 8.837929e-05 [336,] 0.9998765 2.470310e-04 1.235155e-04 [337,] 0.9998283 3.433176e-04 1.716588e-04 [338,] 0.9997628 4.744486e-04 2.372243e-04 [339,] 0.9996740 6.519363e-04 3.259682e-04 [340,] 0.9995580 8.840630e-04 4.420315e-04 [341,] 0.9993995 1.200923e-03 6.004616e-04 [342,] 0.9991891 1.621791e-03 8.108955e-04 [343,] 0.9989114 2.177193e-03 1.088597e-03 [344,] 0.9985757 2.848629e-03 1.424314e-03 [345,] 0.9981342 3.731554e-03 1.865777e-03 [346,] 0.9975744 4.851272e-03 2.425636e-03 [347,] 0.9968220 6.355991e-03 3.177995e-03 [348,] 0.9958581 8.283731e-03 4.141866e-03 [349,] 0.9946356 1.072876e-02 5.364381e-03 [350,] 0.9936649 1.267018e-02 6.335090e-03 [351,] 0.9918753 1.624939e-02 8.124695e-03 [352,] 0.9896469 2.070627e-02 1.035313e-02 [353,] 0.9868923 2.621533e-02 1.310767e-02 [354,] 0.9835854 3.282923e-02 1.641461e-02 [355,] 0.9794864 4.102730e-02 2.051365e-02 [356,] 0.9745326 5.093481e-02 2.546740e-02 [357,] 0.9905661 1.886785e-02 9.433924e-03 [358,] 0.9880332 2.393352e-02 1.196676e-02 [359,] 0.9847187 3.056269e-02 1.528135e-02 [360,] 0.9806259 3.874811e-02 1.937406e-02 [361,] 0.9756147 4.877063e-02 2.438531e-02 [362,] 0.9695308 6.093843e-02 3.046922e-02 [363,] 0.9622083 7.558348e-02 3.779174e-02 [364,] 0.9534720 9.305597e-02 4.652798e-02 [365,] 0.9464746 1.070507e-01 5.352536e-02 [366,] 0.9350646 1.298707e-01 6.493536e-02 [367,] 0.9214985 1.570031e-01 7.850155e-02 [368,] 0.9059576 1.880849e-01 9.404243e-02 [369,] 0.8881914 2.236172e-01 1.118086e-01 [370,] 0.8718903 2.562195e-01 1.281097e-01 [371,] 0.8509731 2.980539e-01 1.490269e-01 [372,] 0.8265384 3.469232e-01 1.734616e-01 [373,] 0.7996241 4.007517e-01 2.003759e-01 [374,] 0.7702789 4.594421e-01 2.297211e-01 [375,] 0.7560426 4.879148e-01 2.439574e-01 [376,] 0.7675493 4.649015e-01 2.324507e-01 [377,] 0.7353124 5.293752e-01 2.646876e-01 [378,] 0.7061907 5.876185e-01 2.938093e-01 [379,] 0.6776419 6.447163e-01 3.223581e-01 [380,] 0.6424075 7.151851e-01 3.575925e-01 [381,] 0.6054240 7.891521e-01 3.945760e-01 [382,] 0.5668633 8.662734e-01 4.331367e-01 [383,] 0.5326533 9.346935e-01 4.673467e-01 [384,] 0.4960016 9.920031e-01 5.039984e-01 [385,] 0.4585120 9.170240e-01 5.414880e-01 [386,] 0.4201275 8.402551e-01 5.798725e-01 [387,] 0.3847672 7.695343e-01 6.152328e-01 [388,] 0.5551936 8.896127e-01 4.448064e-01 [389,] 0.5177053 9.645894e-01 4.822947e-01 [390,] 0.4862351 9.724702e-01 5.137649e-01 [391,] 0.5268241 9.463518e-01 4.731759e-01 [392,] 0.4846906 9.693813e-01 5.153094e-01 [393,] 0.4723397 9.446795e-01 5.276603e-01 [394,] 0.4272906 8.545813e-01 5.727094e-01 [395,] 0.3885873 7.771746e-01 6.114127e-01 [396,] 0.3535914 7.071828e-01 6.464086e-01 [397,] 0.4834352 9.668705e-01 5.165648e-01 [398,] 0.4370617 8.741233e-01 5.629383e-01 [399,] 0.3885186 7.770373e-01 6.114814e-01 [400,] 0.3448617 6.897234e-01 6.551383e-01 [401,] 0.3132740 6.265480e-01 6.867260e-01 [402,] 0.2826514 5.653028e-01 7.173486e-01 [403,] 0.2438188 4.876376e-01 7.561812e-01 [404,] 0.2094928 4.189856e-01 7.905072e-01 [405,] 0.2756933 5.513865e-01 7.243067e-01 [406,] 0.3649515 7.299030e-01 6.350485e-01 [407,] 0.5743887 8.512227e-01 4.256113e-01 [408,] 0.4895178 9.790356e-01 5.104822e-01 [409,] 0.4045367 8.090734e-01 5.954633e-01 [410,] 0.4846939 9.693879e-01 5.153061e-01 [411,] 0.7264315 5.471370e-01 2.735685e-01 [412,] 0.6418813 7.162373e-01 3.581187e-01 [413,] 0.5308570 9.382861e-01 4.691430e-01 [414,] 0.4042925 8.085851e-01 5.957075e-01 [415,] 0.3309644 6.619288e-01 6.690356e-01 [416,] 0.8868847 2.262307e-01 1.131153e-01 > postscript(file="/var/www/html/rcomp/tmp/1wczp1291361223.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$resid) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2wczp1291361223.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(mysum$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/3plga1291361223.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/4plga1291361223.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals') > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/5plga1291361223.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 -0.63030781 0.04654499 -0.06942220 -0.13100562 0.41370413 0.37993951 7 8 9 10 11 12 -0.58063399 0.18065304 0.55227068 0.55787546 -0.57994974 -0.36832852 13 14 15 16 17 18 0.57449474 -0.17607837 0.53078181 -0.46859019 -0.52561020 0.54270793 19 20 21 22 23 24 0.58879168 -0.39283374 0.61876539 0.63982156 -0.41974959 -0.34530772 25 26 27 28 29 30 -0.34895955 -0.31055237 0.63097506 -0.20031650 -0.30919099 -0.33010971 31 32 33 34 35 36 0.66838721 0.64680352 0.66629941 0.66568594 -0.52262582 -0.33345155 37 38 39 40 41 42 -0.34476745 0.63648137 0.57592230 -0.27332861 -0.43429716 -0.30842413 43 44 45 46 47 48 -0.33905724 -0.32978866 -0.27659633 0.71047235 0.57956592 0.61153103 49 50 51 52 53 54 -0.33631079 -0.24981250 0.65896754 0.63799526 0.59435703 0.62574432 55 56 57 58 59 60 0.64637240 -0.27936918 -0.27231965 -0.30462180 -0.30184947 0.69326316 61 62 63 64 65 66 0.68688119 -0.23987086 0.70324792 0.71268981 -0.26579165 -0.43187678 67 68 69 70 71 72 -0.26130334 0.69827026 -0.33817191 0.69293933 0.77978259 -0.25077392 73 74 75 76 77 78 -0.29098138 -0.26452085 -0.31052461 0.74184080 -0.30538502 -0.25631196 79 80 81 82 83 84 -0.27878543 0.66663501 -0.25562960 0.69697974 -0.33391646 -0.22918973 85 86 87 88 89 90 -0.29744368 0.72805855 -0.30791993 -0.29400403 -0.30089320 -0.29601599 91 92 93 94 95 96 -0.29520267 0.71843309 -0.28209496 0.67420153 -0.24207010 0.73576097 97 98 99 100 101 102 -0.31211459 0.70867420 -0.32600752 0.73924263 0.73560355 -0.26957024 103 104 105 106 107 108 -0.30897605 -0.30540513 -0.26692149 -0.25165218 0.76735744 0.68919907 109 110 111 112 113 114 -0.29488600 0.74494874 -0.27273456 0.78221101 -0.26354747 0.74613817 115 116 117 118 119 120 0.74852676 -0.25530716 -0.27654851 -0.29506055 0.75213633 -0.26040654 121 122 123 124 125 126 -0.32723244 -0.25897485 -0.29702198 0.68474521 0.74979359 0.74982496 127 128 129 130 131 132 -0.24685379 -0.24801879 -0.24870175 -0.24685379 -0.24800601 -0.26173001 133 134 135 136 137 138 -0.24685379 -0.24722166 -0.24685379 -0.24929048 -0.24909857 -0.24685379 139 140 141 142 143 144 -0.24685379 -0.24685379 -0.24748484 -0.24685379 -0.24711389 -0.24754378 145 146 147 148 149 150 -0.25486477 -0.24551950 -0.24685379 -0.24780991 -0.24685379 -0.24731292 151 152 153 154 155 156 -0.24613260 -0.25961973 -0.24685379 -0.24388853 -0.24749238 -0.24685379 157 158 159 160 161 162 -0.24685379 -0.24806589 -0.25075639 -0.24685379 -0.24685379 -0.24685379 163 164 165 166 167 168 -0.24685379 -0.25245142 -0.25661437 -0.24685379 -0.24685379 -0.24789232 169 170 171 172 173 174 -0.24685379 -0.24685379 -0.24685379 -0.24802048 -0.24685379 -0.24988681 175 176 177 178 179 180 -0.24685379 -0.24824748 -0.24685379 0.75285624 -0.24685379 -0.24685379 181 182 183 184 185 186 -0.27129679 0.73854956 -0.25020915 0.74539837 0.75029687 0.75037461 187 188 189 190 191 192 0.74193284 -0.24927427 -0.24910002 -0.24685379 -0.24766856 -0.24685379 193 194 195 196 197 198 -0.24959363 -0.24685379 -0.24733805 0.75314621 0.68368620 0.75314621 199 200 201 202 203 204 0.75314621 0.73514822 0.75314621 0.75314621 0.75314621 0.75901856 205 206 207 208 209 210 0.72668263 0.75195209 0.74817024 0.75314621 0.75215103 0.75314621 211 212 213 214 215 216 -0.24685379 -0.24685379 -0.24897280 -0.24915094 -0.24986498 -0.24685379 217 218 219 220 221 222 -0.24823014 -0.25160645 -0.24685379 -0.24863939 -0.24338876 -0.24685379 223 224 225 226 227 228 -0.24713052 -0.24685379 -0.24727160 -0.25193246 -0.24685379 -0.24685379 229 230 231 232 233 234 -0.25027726 -0.24685379 -0.25025632 -0.24685379 -0.24685379 -0.25157709 235 236 237 238 239 240 -0.24685379 -0.24701075 -0.24685379 -0.24754394 -0.24685379 -0.24685379 241 242 243 244 245 246 -0.24685379 -0.24886901 -0.24685379 -0.24717526 -0.26208263 0.75314621 247 248 249 250 251 252 0.75314621 -0.24859882 0.75314621 0.75314621 -0.23950033 0.75314621 253 254 255 256 257 258 -0.24903676 -0.26916374 -0.27969448 -0.24685379 -0.24502214 -0.24006654 259 260 261 262 263 264 0.75314621 -0.24685379 0.75314621 0.75314621 -0.26218267 -0.24840898 265 266 267 268 269 270 0.75314621 -0.24685379 0.75314621 -0.27185803 0.75314621 -0.25693701 271 272 273 274 275 276 0.75314621 0.75314621 0.75314621 -0.24830362 -0.24685379 -0.25433263 277 278 279 280 281 282 -0.25682513 -0.24685379 0.73536501 -0.25665107 0.75314621 -0.24685379 283 284 285 286 287 288 -0.25419740 -0.24685379 -0.25764073 -0.24685379 0.75314621 -0.24894285 289 290 291 292 293 294 0.75314621 -0.24899729 0.75314621 -0.25387975 -0.27408119 -0.24685379 295 296 297 298 299 300 -0.24712998 0.74608413 -0.24685379 0.75314621 -0.24685379 -0.24685379 301 302 303 304 305 306 0.75268848 -0.24379416 -0.24685379 0.75314621 -0.26021405 -0.24819826 307 308 309 310 311 312 0.75314621 0.74786343 -0.24577003 0.75314621 0.75314621 -0.28753641 313 314 315 316 317 318 0.75314621 0.74819517 -0.24752685 -0.25585286 -0.24635868 -0.24852665 319 320 321 322 323 324 -0.24773733 -0.24685379 -0.24685379 -0.24685379 -0.24685379 0.75314621 325 326 327 328 329 330 -0.24685379 -0.24673337 0.75314621 0.75314621 -0.24685379 -0.24685379 331 332 333 334 335 336 -0.24685379 -0.24685379 -0.24685379 -0.24728373 -0.24715624 -0.24685379 337 338 339 340 341 342 -0.24791051 -0.24685379 -0.24720281 -0.24779174 -0.24969687 -0.24685379 343 344 345 346 347 348 -0.24685379 -0.24685379 -0.24685379 -0.24685379 -0.24456625 -0.24685379 349 350 351 352 353 354 -0.24685379 -0.24685379 -0.24681932 -0.24867651 -0.24954320 -0.24800714 355 356 357 358 359 360 -0.24685379 -0.24685379 -0.27269323 -0.24685379 -0.24685379 -0.24685379 361 362 363 364 365 366 -0.24744552 -0.24685379 -0.24685379 0.75282669 -0.24696075 -0.24685379 367 368 369 370 371 372 -0.24685379 -0.24685379 -0.24685379 -0.24685379 -0.24685379 -0.25145261 373 374 375 376 377 378 -0.26398460 -0.24925020 -0.24685379 -0.24685379 -0.24511404 -0.24816408 379 380 381 382 383 384 -0.24685379 -0.24685379 -0.24685379 -0.27020281 -0.23826328 -0.24685379 385 386 387 388 389 390 -0.25146153 -0.24855595 -0.24728692 -0.24703581 -0.24675041 -0.24524651 391 392 393 394 395 396 -0.25186489 -0.24481528 -0.24518993 -0.26343509 0.73584984 -0.24353323 397 398 399 400 401 402 -0.24008911 0.65375726 -0.25047352 0.78575915 -0.25998500 -0.25473831 403 404 405 406 407 408 -0.24544759 0.74422558 -0.25011111 -0.25943358 -0.25867995 -0.24731364 409 410 411 412 413 414 -0.24335391 -0.25180459 -0.26374062 0.74596348 0.75483805 0.73533053 415 416 417 418 419 420 -0.26261214 -0.25482124 -0.24720875 0.75199324 -0.25905460 -0.24705770 421 422 423 424 425 426 -0.24586604 -0.25904784 0.85119849 -0.19617606 -0.23363610 0.74262396 427 428 429 430 431 -0.20212613 -0.38706743 -0.26071313 -0.30597585 -0.17321596 > postscript(file="/var/www/html/rcomp/tmp/6plga1291361223.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 -0.63030781 NA 1 0.04654499 -0.63030781 2 -0.06942220 0.04654499 3 -0.13100562 -0.06942220 4 0.41370413 -0.13100562 5 0.37993951 0.41370413 6 -0.58063399 0.37993951 7 0.18065304 -0.58063399 8 0.55227068 0.18065304 9 0.55787546 0.55227068 10 -0.57994974 0.55787546 11 -0.36832852 -0.57994974 12 0.57449474 -0.36832852 13 -0.17607837 0.57449474 14 0.53078181 -0.17607837 15 -0.46859019 0.53078181 16 -0.52561020 -0.46859019 17 0.54270793 -0.52561020 18 0.58879168 0.54270793 19 -0.39283374 0.58879168 20 0.61876539 -0.39283374 21 0.63982156 0.61876539 22 -0.41974959 0.63982156 23 -0.34530772 -0.41974959 24 -0.34895955 -0.34530772 25 -0.31055237 -0.34895955 26 0.63097506 -0.31055237 27 -0.20031650 0.63097506 28 -0.30919099 -0.20031650 29 -0.33010971 -0.30919099 30 0.66838721 -0.33010971 31 0.64680352 0.66838721 32 0.66629941 0.64680352 33 0.66568594 0.66629941 34 -0.52262582 0.66568594 35 -0.33345155 -0.52262582 36 -0.34476745 -0.33345155 37 0.63648137 -0.34476745 38 0.57592230 0.63648137 39 -0.27332861 0.57592230 40 -0.43429716 -0.27332861 41 -0.30842413 -0.43429716 42 -0.33905724 -0.30842413 43 -0.32978866 -0.33905724 44 -0.27659633 -0.32978866 45 0.71047235 -0.27659633 46 0.57956592 0.71047235 47 0.61153103 0.57956592 48 -0.33631079 0.61153103 49 -0.24981250 -0.33631079 50 0.65896754 -0.24981250 51 0.63799526 0.65896754 52 0.59435703 0.63799526 53 0.62574432 0.59435703 54 0.64637240 0.62574432 55 -0.27936918 0.64637240 56 -0.27231965 -0.27936918 57 -0.30462180 -0.27231965 58 -0.30184947 -0.30462180 59 0.69326316 -0.30184947 60 0.68688119 0.69326316 61 -0.23987086 0.68688119 62 0.70324792 -0.23987086 63 0.71268981 0.70324792 64 -0.26579165 0.71268981 65 -0.43187678 -0.26579165 66 -0.26130334 -0.43187678 67 0.69827026 -0.26130334 68 -0.33817191 0.69827026 69 0.69293933 -0.33817191 70 0.77978259 0.69293933 71 -0.25077392 0.77978259 72 -0.29098138 -0.25077392 73 -0.26452085 -0.29098138 74 -0.31052461 -0.26452085 75 0.74184080 -0.31052461 76 -0.30538502 0.74184080 77 -0.25631196 -0.30538502 78 -0.27878543 -0.25631196 79 0.66663501 -0.27878543 80 -0.25562960 0.66663501 81 0.69697974 -0.25562960 82 -0.33391646 0.69697974 83 -0.22918973 -0.33391646 84 -0.29744368 -0.22918973 85 0.72805855 -0.29744368 86 -0.30791993 0.72805855 87 -0.29400403 -0.30791993 88 -0.30089320 -0.29400403 89 -0.29601599 -0.30089320 90 -0.29520267 -0.29601599 91 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200 0.75314621 0.73514822 201 0.75314621 0.75314621 202 0.75314621 0.75314621 203 0.75901856 0.75314621 204 0.72668263 0.75901856 205 0.75195209 0.72668263 206 0.74817024 0.75195209 207 0.75314621 0.74817024 208 0.75215103 0.75314621 209 0.75314621 0.75215103 210 -0.24685379 0.75314621 211 -0.24685379 -0.24685379 212 -0.24897280 -0.24685379 213 -0.24915094 -0.24897280 214 -0.24986498 -0.24915094 215 -0.24685379 -0.24986498 216 -0.24823014 -0.24685379 217 -0.25160645 -0.24823014 218 -0.24685379 -0.25160645 219 -0.24863939 -0.24685379 220 -0.24338876 -0.24863939 221 -0.24685379 -0.24338876 222 -0.24713052 -0.24685379 223 -0.24685379 -0.24713052 224 -0.24727160 -0.24685379 225 -0.25193246 -0.24727160 226 -0.24685379 -0.25193246 227 -0.24685379 -0.24685379 228 -0.25027726 -0.24685379 229 -0.24685379 -0.25027726 230 -0.25025632 -0.24685379 231 -0.24685379 -0.25025632 232 -0.24685379 -0.24685379 233 -0.25157709 -0.24685379 234 -0.24685379 -0.25157709 235 -0.24701075 -0.24685379 236 -0.24685379 -0.24701075 237 -0.24754394 -0.24685379 238 -0.24685379 -0.24754394 239 -0.24685379 -0.24685379 240 -0.24685379 -0.24685379 241 -0.24886901 -0.24685379 242 -0.24685379 -0.24886901 243 -0.24717526 -0.24685379 244 -0.26208263 -0.24717526 245 0.75314621 -0.26208263 246 0.75314621 0.75314621 247 -0.24859882 0.75314621 248 0.75314621 -0.24859882 249 0.75314621 0.75314621 250 -0.23950033 0.75314621 251 0.75314621 -0.23950033 252 -0.24903676 0.75314621 253 -0.26916374 -0.24903676 254 -0.27969448 -0.26916374 255 -0.24685379 -0.27969448 256 -0.24502214 -0.24685379 257 -0.24006654 -0.24502214 258 0.75314621 -0.24006654 259 -0.24685379 0.75314621 260 0.75314621 -0.24685379 261 0.75314621 0.75314621 262 -0.26218267 0.75314621 263 -0.24840898 -0.26218267 264 0.75314621 -0.24840898 265 -0.24685379 0.75314621 266 0.75314621 -0.24685379 267 -0.27185803 0.75314621 268 0.75314621 -0.27185803 269 -0.25693701 0.75314621 270 0.75314621 -0.25693701 271 0.75314621 0.75314621 272 0.75314621 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0.75314621 -0.24577003 310 0.75314621 0.75314621 311 -0.28753641 0.75314621 312 0.75314621 -0.28753641 313 0.74819517 0.75314621 314 -0.24752685 0.74819517 315 -0.25585286 -0.24752685 316 -0.24635868 -0.25585286 317 -0.24852665 -0.24635868 318 -0.24773733 -0.24852665 319 -0.24685379 -0.24773733 320 -0.24685379 -0.24685379 321 -0.24685379 -0.24685379 322 -0.24685379 -0.24685379 323 0.75314621 -0.24685379 324 -0.24685379 0.75314621 325 -0.24673337 -0.24685379 326 0.75314621 -0.24673337 327 0.75314621 0.75314621 328 -0.24685379 0.75314621 329 -0.24685379 -0.24685379 330 -0.24685379 -0.24685379 331 -0.24685379 -0.24685379 332 -0.24685379 -0.24685379 333 -0.24728373 -0.24685379 334 -0.24715624 -0.24728373 335 -0.24685379 -0.24715624 336 -0.24791051 -0.24685379 337 -0.24685379 -0.24791051 338 -0.24720281 -0.24685379 339 -0.24779174 -0.24720281 340 -0.24969687 -0.24779174 341 -0.24685379 -0.24969687 342 -0.24685379 -0.24685379 343 -0.24685379 -0.24685379 344 -0.24685379 -0.24685379 345 -0.24685379 -0.24685379 346 -0.24456625 -0.24685379 347 -0.24685379 -0.24456625 348 -0.24685379 -0.24685379 349 -0.24685379 -0.24685379 350 -0.24681932 -0.24685379 351 -0.24867651 -0.24681932 352 -0.24954320 -0.24867651 353 -0.24800714 -0.24954320 354 -0.24685379 -0.24800714 355 -0.24685379 -0.24685379 356 -0.27269323 -0.24685379 357 -0.24685379 -0.27269323 358 -0.24685379 -0.24685379 359 -0.24685379 -0.24685379 360 -0.24744552 -0.24685379 361 -0.24685379 -0.24744552 362 -0.24685379 -0.24685379 363 0.75282669 -0.24685379 364 -0.24696075 0.75282669 365 -0.24685379 -0.24696075 366 -0.24685379 -0.24685379 367 -0.24685379 -0.24685379 368 -0.24685379 -0.24685379 369 -0.24685379 -0.24685379 370 -0.24685379 -0.24685379 371 -0.25145261 -0.24685379 372 -0.26398460 -0.25145261 373 -0.24925020 -0.26398460 374 -0.24685379 -0.24925020 375 -0.24685379 -0.24685379 376 -0.24511404 -0.24685379 377 -0.24816408 -0.24511404 378 -0.24685379 -0.24816408 379 -0.24685379 -0.24685379 380 -0.24685379 -0.24685379 381 -0.27020281 -0.24685379 382 -0.23826328 -0.27020281 383 -0.24685379 -0.23826328 384 -0.25146153 -0.24685379 385 -0.24855595 -0.25146153 386 -0.24728692 -0.24855595 387 -0.24703581 -0.24728692 388 -0.24675041 -0.24703581 389 -0.24524651 -0.24675041 390 -0.25186489 -0.24524651 391 -0.24481528 -0.25186489 392 -0.24518993 -0.24481528 393 -0.26343509 -0.24518993 394 0.73584984 -0.26343509 395 -0.24353323 0.73584984 396 -0.24008911 -0.24353323 397 0.65375726 -0.24008911 398 -0.25047352 0.65375726 399 0.78575915 -0.25047352 400 -0.25998500 0.78575915 401 -0.25473831 -0.25998500 402 -0.24544759 -0.25473831 403 0.74422558 -0.24544759 404 -0.25011111 0.74422558 405 -0.25943358 -0.25011111 406 -0.25867995 -0.25943358 407 -0.24731364 -0.25867995 408 -0.24335391 -0.24731364 409 -0.25180459 -0.24335391 410 -0.26374062 -0.25180459 411 0.74596348 -0.26374062 412 0.75483805 0.74596348 413 0.73533053 0.75483805 414 -0.26261214 0.73533053 415 -0.25482124 -0.26261214 416 -0.24720875 -0.25482124 417 0.75199324 -0.24720875 418 -0.25905460 0.75199324 419 -0.24705770 -0.25905460 420 -0.24586604 -0.24705770 421 -0.25904784 -0.24586604 422 0.85119849 -0.25904784 423 -0.19617606 0.85119849 424 -0.23363610 -0.19617606 425 0.74262396 -0.23363610 426 -0.20212613 0.74262396 427 -0.38706743 -0.20212613 428 -0.26071313 -0.38706743 429 -0.30597585 -0.26071313 430 -0.17321596 -0.30597585 431 NA -0.17321596 > dum1 <- dum[2:length(myerror),] > dum1 lag(myerror, k = 1) myerror [1,] 0.04654499 -0.63030781 [2,] -0.06942220 0.04654499 [3,] -0.13100562 -0.06942220 [4,] 0.41370413 -0.13100562 [5,] 0.37993951 0.41370413 [6,] -0.58063399 0.37993951 [7,] 0.18065304 -0.58063399 [8,] 0.55227068 0.18065304 [9,] 0.55787546 0.55227068 [10,] -0.57994974 0.55787546 [11,] -0.36832852 -0.57994974 [12,] 0.57449474 -0.36832852 [13,] -0.17607837 0.57449474 [14,] 0.53078181 -0.17607837 [15,] -0.46859019 0.53078181 [16,] -0.52561020 -0.46859019 [17,] 0.54270793 -0.52561020 [18,] 0.58879168 0.54270793 [19,] -0.39283374 0.58879168 [20,] 0.61876539 -0.39283374 [21,] 0.63982156 0.61876539 [22,] -0.41974959 0.63982156 [23,] -0.34530772 -0.41974959 [24,] -0.34895955 -0.34530772 [25,] -0.31055237 -0.34895955 [26,] 0.63097506 -0.31055237 [27,] -0.20031650 0.63097506 [28,] -0.30919099 -0.20031650 [29,] -0.33010971 -0.30919099 [30,] 0.66838721 -0.33010971 [31,] 0.64680352 0.66838721 [32,] 0.66629941 0.64680352 [33,] 0.66568594 0.66629941 [34,] -0.52262582 0.66568594 [35,] -0.33345155 -0.52262582 [36,] -0.34476745 -0.33345155 [37,] 0.63648137 -0.34476745 [38,] 0.57592230 0.63648137 [39,] -0.27332861 0.57592230 [40,] -0.43429716 -0.27332861 [41,] -0.30842413 -0.43429716 [42,] -0.33905724 -0.30842413 [43,] -0.32978866 -0.33905724 [44,] -0.27659633 -0.32978866 [45,] 0.71047235 -0.27659633 [46,] 0.57956592 0.71047235 [47,] 0.61153103 0.57956592 [48,] -0.33631079 0.61153103 [49,] -0.24981250 -0.33631079 [50,] 0.65896754 -0.24981250 [51,] 0.63799526 0.65896754 [52,] 0.59435703 0.63799526 [53,] 0.62574432 0.59435703 [54,] 0.64637240 0.62574432 [55,] -0.27936918 0.64637240 [56,] -0.27231965 -0.27936918 [57,] -0.30462180 -0.27231965 [58,] -0.30184947 -0.30462180 [59,] 0.69326316 -0.30184947 [60,] 0.68688119 0.69326316 [61,] -0.23987086 0.68688119 [62,] 0.70324792 -0.23987086 [63,] 0.71268981 0.70324792 [64,] -0.26579165 0.71268981 [65,] -0.43187678 -0.26579165 [66,] -0.26130334 -0.43187678 [67,] 0.69827026 -0.26130334 [68,] -0.33817191 0.69827026 [69,] 0.69293933 -0.33817191 [70,] 0.77978259 0.69293933 [71,] -0.25077392 0.77978259 [72,] -0.29098138 -0.25077392 [73,] -0.26452085 -0.29098138 [74,] -0.31052461 -0.26452085 [75,] 0.74184080 -0.31052461 [76,] -0.30538502 0.74184080 [77,] -0.25631196 -0.30538502 [78,] -0.27878543 -0.25631196 [79,] 0.66663501 -0.27878543 [80,] -0.25562960 0.66663501 [81,] 0.69697974 -0.25562960 [82,] -0.33391646 0.69697974 [83,] -0.22918973 -0.33391646 [84,] -0.29744368 -0.22918973 [85,] 0.72805855 -0.29744368 [86,] -0.30791993 0.72805855 [87,] -0.29400403 -0.30791993 [88,] -0.30089320 -0.29400403 [89,] -0.29601599 -0.30089320 [90,] -0.29520267 -0.29601599 [91,] 0.71843309 -0.29520267 [92,] -0.28209496 0.71843309 [93,] 0.67420153 -0.28209496 [94,] -0.24207010 0.67420153 [95,] 0.73576097 -0.24207010 [96,] -0.31211459 0.73576097 [97,] 0.70867420 -0.31211459 [98,] -0.32600752 0.70867420 [99,] 0.73924263 -0.32600752 [100,] 0.73560355 0.73924263 [101,] -0.26957024 0.73560355 [102,] -0.30897605 -0.26957024 [103,] -0.30540513 -0.30897605 [104,] -0.26692149 -0.30540513 [105,] -0.25165218 -0.26692149 [106,] 0.76735744 -0.25165218 [107,] 0.68919907 0.76735744 [108,] -0.29488600 0.68919907 [109,] 0.74494874 -0.29488600 [110,] -0.27273456 0.74494874 [111,] 0.78221101 -0.27273456 [112,] -0.26354747 0.78221101 [113,] 0.74613817 -0.26354747 [114,] 0.74852676 0.74613817 [115,] -0.25530716 0.74852676 [116,] -0.27654851 -0.25530716 [117,] -0.29506055 -0.27654851 [118,] 0.75213633 -0.29506055 [119,] -0.26040654 0.75213633 [120,] -0.32723244 -0.26040654 [121,] -0.25897485 -0.32723244 [122,] -0.29702198 -0.25897485 [123,] 0.68474521 -0.29702198 [124,] 0.74979359 0.68474521 [125,] 0.74982496 0.74979359 [126,] -0.24685379 0.74982496 [127,] -0.24801879 -0.24685379 [128,] -0.24870175 -0.24801879 [129,] -0.24685379 -0.24870175 [130,] -0.24800601 -0.24685379 [131,] -0.26173001 -0.24800601 [132,] -0.24685379 -0.26173001 [133,] -0.24722166 -0.24685379 [134,] -0.24685379 -0.24722166 [135,] -0.24929048 -0.24685379 [136,] -0.24909857 -0.24929048 [137,] -0.24685379 -0.24909857 [138,] -0.24685379 -0.24685379 [139,] -0.24685379 -0.24685379 [140,] -0.24748484 -0.24685379 [141,] -0.24685379 -0.24748484 [142,] -0.24711389 -0.24685379 [143,] -0.24754378 -0.24711389 [144,] -0.25486477 -0.24754378 [145,] -0.24551950 -0.25486477 [146,] -0.24685379 -0.24551950 [147,] -0.24780991 -0.24685379 [148,] -0.24685379 -0.24780991 [149,] -0.24731292 -0.24685379 [150,] -0.24613260 -0.24731292 [151,] -0.25961973 -0.24613260 [152,] -0.24685379 -0.25961973 [153,] -0.24388853 -0.24685379 [154,] -0.24749238 -0.24388853 [155,] -0.24685379 -0.24749238 [156,] -0.24685379 -0.24685379 [157,] -0.24806589 -0.24685379 [158,] -0.25075639 -0.24806589 [159,] -0.24685379 -0.25075639 [160,] -0.24685379 -0.24685379 [161,] -0.24685379 -0.24685379 [162,] -0.24685379 -0.24685379 [163,] -0.25245142 -0.24685379 [164,] -0.25661437 -0.25245142 [165,] -0.24685379 -0.25661437 [166,] -0.24685379 -0.24685379 [167,] -0.24789232 -0.24685379 [168,] -0.24685379 -0.24789232 [169,] -0.24685379 -0.24685379 [170,] -0.24685379 -0.24685379 [171,] -0.24802048 -0.24685379 [172,] -0.24685379 -0.24802048 [173,] -0.24988681 -0.24685379 [174,] -0.24685379 -0.24988681 [175,] -0.24824748 -0.24685379 [176,] -0.24685379 -0.24824748 [177,] 0.75285624 -0.24685379 [178,] -0.24685379 0.75285624 [179,] -0.24685379 -0.24685379 [180,] -0.27129679 -0.24685379 [181,] 0.73854956 -0.27129679 [182,] -0.25020915 0.73854956 [183,] 0.74539837 -0.25020915 [184,] 0.75029687 0.74539837 [185,] 0.75037461 0.75029687 [186,] 0.74193284 0.75037461 [187,] -0.24927427 0.74193284 [188,] -0.24910002 -0.24927427 [189,] -0.24685379 -0.24910002 [190,] -0.24766856 -0.24685379 [191,] -0.24685379 -0.24766856 [192,] -0.24959363 -0.24685379 [193,] -0.24685379 -0.24959363 [194,] -0.24733805 -0.24685379 [195,] 0.75314621 -0.24733805 [196,] 0.68368620 0.75314621 [197,] 0.75314621 0.68368620 [198,] 0.75314621 0.75314621 [199,] 0.73514822 0.75314621 [200,] 0.75314621 0.73514822 [201,] 0.75314621 0.75314621 [202,] 0.75314621 0.75314621 [203,] 0.75901856 0.75314621 [204,] 0.72668263 0.75901856 [205,] 0.75195209 0.72668263 [206,] 0.74817024 0.75195209 [207,] 0.75314621 0.74817024 [208,] 0.75215103 0.75314621 [209,] 0.75314621 0.75215103 [210,] -0.24685379 0.75314621 [211,] -0.24685379 -0.24685379 [212,] -0.24897280 -0.24685379 [213,] -0.24915094 -0.24897280 [214,] -0.24986498 -0.24915094 [215,] -0.24685379 -0.24986498 [216,] -0.24823014 -0.24685379 [217,] -0.25160645 -0.24823014 [218,] -0.24685379 -0.25160645 [219,] -0.24863939 -0.24685379 [220,] -0.24338876 -0.24863939 [221,] -0.24685379 -0.24338876 [222,] -0.24713052 -0.24685379 [223,] -0.24685379 -0.24713052 [224,] -0.24727160 -0.24685379 [225,] -0.25193246 -0.24727160 [226,] -0.24685379 -0.25193246 [227,] -0.24685379 -0.24685379 [228,] -0.25027726 -0.24685379 [229,] -0.24685379 -0.25027726 [230,] -0.25025632 -0.24685379 [231,] -0.24685379 -0.25025632 [232,] -0.24685379 -0.24685379 [233,] -0.25157709 -0.24685379 [234,] -0.24685379 -0.25157709 [235,] -0.24701075 -0.24685379 [236,] -0.24685379 -0.24701075 [237,] -0.24754394 -0.24685379 [238,] -0.24685379 -0.24754394 [239,] -0.24685379 -0.24685379 [240,] -0.24685379 -0.24685379 [241,] -0.24886901 -0.24685379 [242,] -0.24685379 -0.24886901 [243,] -0.24717526 -0.24685379 [244,] -0.26208263 -0.24717526 [245,] 0.75314621 -0.26208263 [246,] 0.75314621 0.75314621 [247,] -0.24859882 0.75314621 [248,] 0.75314621 -0.24859882 [249,] 0.75314621 0.75314621 [250,] -0.23950033 0.75314621 [251,] 0.75314621 -0.23950033 [252,] -0.24903676 0.75314621 [253,] -0.26916374 -0.24903676 [254,] -0.27969448 -0.26916374 [255,] -0.24685379 -0.27969448 [256,] -0.24502214 -0.24685379 [257,] -0.24006654 -0.24502214 [258,] 0.75314621 -0.24006654 [259,] -0.24685379 0.75314621 [260,] 0.75314621 -0.24685379 [261,] 0.75314621 0.75314621 [262,] -0.26218267 0.75314621 [263,] -0.24840898 -0.26218267 [264,] 0.75314621 -0.24840898 [265,] -0.24685379 0.75314621 [266,] 0.75314621 -0.24685379 [267,] -0.27185803 0.75314621 [268,] 0.75314621 -0.27185803 [269,] -0.25693701 0.75314621 [270,] 0.75314621 -0.25693701 [271,] 0.75314621 0.75314621 [272,] 0.75314621 0.75314621 [273,] -0.24830362 0.75314621 [274,] -0.24685379 -0.24830362 [275,] -0.25433263 -0.24685379 [276,] -0.25682513 -0.25433263 [277,] -0.24685379 -0.25682513 [278,] 0.73536501 -0.24685379 [279,] -0.25665107 0.73536501 [280,] 0.75314621 -0.25665107 [281,] -0.24685379 0.75314621 [282,] -0.25419740 -0.24685379 [283,] -0.24685379 -0.25419740 [284,] -0.25764073 -0.24685379 [285,] -0.24685379 -0.25764073 [286,] 0.75314621 -0.24685379 [287,] -0.24894285 0.75314621 [288,] 0.75314621 -0.24894285 [289,] -0.24899729 0.75314621 [290,] 0.75314621 -0.24899729 [291,] -0.25387975 0.75314621 [292,] -0.27408119 -0.25387975 [293,] -0.24685379 -0.27408119 [294,] -0.24712998 -0.24685379 [295,] 0.74608413 -0.24712998 [296,] -0.24685379 0.74608413 [297,] 0.75314621 -0.24685379 [298,] -0.24685379 0.75314621 [299,] -0.24685379 -0.24685379 [300,] 0.75268848 -0.24685379 [301,] -0.24379416 0.75268848 [302,] -0.24685379 -0.24379416 [303,] 0.75314621 -0.24685379 [304,] -0.26021405 0.75314621 [305,] -0.24819826 -0.26021405 [306,] 0.75314621 -0.24819826 [307,] 0.74786343 0.75314621 [308,] -0.24577003 0.74786343 [309,] 0.75314621 -0.24577003 [310,] 0.75314621 0.75314621 [311,] -0.28753641 0.75314621 [312,] 0.75314621 -0.28753641 [313,] 0.74819517 0.75314621 [314,] -0.24752685 0.74819517 [315,] -0.25585286 -0.24752685 [316,] -0.24635868 -0.25585286 [317,] -0.24852665 -0.24635868 [318,] -0.24773733 -0.24852665 [319,] -0.24685379 -0.24773733 [320,] -0.24685379 -0.24685379 [321,] -0.24685379 -0.24685379 [322,] -0.24685379 -0.24685379 [323,] 0.75314621 -0.24685379 [324,] -0.24685379 0.75314621 [325,] -0.24673337 -0.24685379 [326,] 0.75314621 -0.24673337 [327,] 0.75314621 0.75314621 [328,] -0.24685379 0.75314621 [329,] -0.24685379 -0.24685379 [330,] -0.24685379 -0.24685379 [331,] -0.24685379 -0.24685379 [332,] -0.24685379 -0.24685379 [333,] -0.24728373 -0.24685379 [334,] -0.24715624 -0.24728373 [335,] -0.24685379 -0.24715624 [336,] -0.24791051 -0.24685379 [337,] -0.24685379 -0.24791051 [338,] -0.24720281 -0.24685379 [339,] -0.24779174 -0.24720281 [340,] -0.24969687 -0.24779174 [341,] -0.24685379 -0.24969687 [342,] -0.24685379 -0.24685379 [343,] -0.24685379 -0.24685379 [344,] -0.24685379 -0.24685379 [345,] -0.24685379 -0.24685379 [346,] -0.24456625 -0.24685379 [347,] -0.24685379 -0.24456625 [348,] -0.24685379 -0.24685379 [349,] -0.24685379 -0.24685379 [350,] -0.24681932 -0.24685379 [351,] -0.24867651 -0.24681932 [352,] -0.24954320 -0.24867651 [353,] -0.24800714 -0.24954320 [354,] -0.24685379 -0.24800714 [355,] -0.24685379 -0.24685379 [356,] -0.27269323 -0.24685379 [357,] -0.24685379 -0.27269323 [358,] -0.24685379 -0.24685379 [359,] -0.24685379 -0.24685379 [360,] -0.24744552 -0.24685379 [361,] -0.24685379 -0.24744552 [362,] -0.24685379 -0.24685379 [363,] 0.75282669 -0.24685379 [364,] -0.24696075 0.75282669 [365,] -0.24685379 -0.24696075 [366,] -0.24685379 -0.24685379 [367,] -0.24685379 -0.24685379 [368,] -0.24685379 -0.24685379 [369,] -0.24685379 -0.24685379 [370,] -0.24685379 -0.24685379 [371,] -0.25145261 -0.24685379 [372,] -0.26398460 -0.25145261 [373,] -0.24925020 -0.26398460 [374,] -0.24685379 -0.24925020 [375,] -0.24685379 -0.24685379 [376,] -0.24511404 -0.24685379 [377,] -0.24816408 -0.24511404 [378,] -0.24685379 -0.24816408 [379,] -0.24685379 -0.24685379 [380,] -0.24685379 -0.24685379 [381,] -0.27020281 -0.24685379 [382,] -0.23826328 -0.27020281 [383,] -0.24685379 -0.23826328 [384,] -0.25146153 -0.24685379 [385,] -0.24855595 -0.25146153 [386,] -0.24728692 -0.24855595 [387,] -0.24703581 -0.24728692 [388,] -0.24675041 -0.24703581 [389,] -0.24524651 -0.24675041 [390,] -0.25186489 -0.24524651 [391,] -0.24481528 -0.25186489 [392,] -0.24518993 -0.24481528 [393,] -0.26343509 -0.24518993 [394,] 0.73584984 -0.26343509 [395,] -0.24353323 0.73584984 [396,] -0.24008911 -0.24353323 [397,] 0.65375726 -0.24008911 [398,] -0.25047352 0.65375726 [399,] 0.78575915 -0.25047352 [400,] -0.25998500 0.78575915 [401,] -0.25473831 -0.25998500 [402,] -0.24544759 -0.25473831 [403,] 0.74422558 -0.24544759 [404,] -0.25011111 0.74422558 [405,] -0.25943358 -0.25011111 [406,] -0.25867995 -0.25943358 [407,] -0.24731364 -0.25867995 [408,] -0.24335391 -0.24731364 [409,] -0.25180459 -0.24335391 [410,] -0.26374062 -0.25180459 [411,] 0.74596348 -0.26374062 [412,] 0.75483805 0.74596348 [413,] 0.73533053 0.75483805 [414,] -0.26261214 0.73533053 [415,] -0.25482124 -0.26261214 [416,] -0.24720875 -0.25482124 [417,] 0.75199324 -0.24720875 [418,] -0.25905460 0.75199324 [419,] -0.24705770 -0.25905460 [420,] -0.24586604 -0.24705770 [421,] -0.25904784 -0.24586604 [422,] 0.85119849 -0.25904784 [423,] -0.19617606 0.85119849 [424,] -0.23363610 -0.19617606 [425,] 0.74262396 -0.23363610 [426,] -0.20212613 0.74262396 [427,] -0.38706743 -0.20212613 [428,] -0.26071313 -0.38706743 [429,] -0.30597585 -0.26071313 [430,] -0.17321596 -0.30597585 > z <- as.data.frame(dum1) > z lag(myerror, k = 1) myerror 1 0.04654499 -0.63030781 2 -0.06942220 0.04654499 3 -0.13100562 -0.06942220 4 0.41370413 -0.13100562 5 0.37993951 0.41370413 6 -0.58063399 0.37993951 7 0.18065304 -0.58063399 8 0.55227068 0.18065304 9 0.55787546 0.55227068 10 -0.57994974 0.55787546 11 -0.36832852 -0.57994974 12 0.57449474 -0.36832852 13 -0.17607837 0.57449474 14 0.53078181 -0.17607837 15 -0.46859019 0.53078181 16 -0.52561020 -0.46859019 17 0.54270793 -0.52561020 18 0.58879168 0.54270793 19 -0.39283374 0.58879168 20 0.61876539 -0.39283374 21 0.63982156 0.61876539 22 -0.41974959 0.63982156 23 -0.34530772 -0.41974959 24 -0.34895955 -0.34530772 25 -0.31055237 -0.34895955 26 0.63097506 -0.31055237 27 -0.20031650 0.63097506 28 -0.30919099 -0.20031650 29 -0.33010971 -0.30919099 30 0.66838721 -0.33010971 31 0.64680352 0.66838721 32 0.66629941 0.64680352 33 0.66568594 0.66629941 34 -0.52262582 0.66568594 35 -0.33345155 -0.52262582 36 -0.34476745 -0.33345155 37 0.63648137 -0.34476745 38 0.57592230 0.63648137 39 -0.27332861 0.57592230 40 -0.43429716 -0.27332861 41 -0.30842413 -0.43429716 42 -0.33905724 -0.30842413 43 -0.32978866 -0.33905724 44 -0.27659633 -0.32978866 45 0.71047235 -0.27659633 46 0.57956592 0.71047235 47 0.61153103 0.57956592 48 -0.33631079 0.61153103 49 -0.24981250 -0.33631079 50 0.65896754 -0.24981250 51 0.63799526 0.65896754 52 0.59435703 0.63799526 53 0.62574432 0.59435703 54 0.64637240 0.62574432 55 -0.27936918 0.64637240 56 -0.27231965 -0.27936918 57 -0.30462180 -0.27231965 58 -0.30184947 -0.30462180 59 0.69326316 -0.30184947 60 0.68688119 0.69326316 61 -0.23987086 0.68688119 62 0.70324792 -0.23987086 63 0.71268981 0.70324792 64 -0.26579165 0.71268981 65 -0.43187678 -0.26579165 66 -0.26130334 -0.43187678 67 0.69827026 -0.26130334 68 -0.33817191 0.69827026 69 0.69293933 -0.33817191 70 0.77978259 0.69293933 71 -0.25077392 0.77978259 72 -0.29098138 -0.25077392 73 -0.26452085 -0.29098138 74 -0.31052461 -0.26452085 75 0.74184080 -0.31052461 76 -0.30538502 0.74184080 77 -0.25631196 -0.30538502 78 -0.27878543 -0.25631196 79 0.66663501 -0.27878543 80 -0.25562960 0.66663501 81 0.69697974 -0.25562960 82 -0.33391646 0.69697974 83 -0.22918973 -0.33391646 84 -0.29744368 -0.22918973 85 0.72805855 -0.29744368 86 -0.30791993 0.72805855 87 -0.29400403 -0.30791993 88 -0.30089320 -0.29400403 89 -0.29601599 -0.30089320 90 -0.29520267 -0.29601599 91 0.71843309 -0.29520267 92 -0.28209496 0.71843309 93 0.67420153 -0.28209496 94 -0.24207010 0.67420153 95 0.73576097 -0.24207010 96 -0.31211459 0.73576097 97 0.70867420 -0.31211459 98 -0.32600752 0.70867420 99 0.73924263 -0.32600752 100 0.73560355 0.73924263 101 -0.26957024 0.73560355 102 -0.30897605 -0.26957024 103 -0.30540513 -0.30897605 104 -0.26692149 -0.30540513 105 -0.25165218 -0.26692149 106 0.76735744 -0.25165218 107 0.68919907 0.76735744 108 -0.29488600 0.68919907 109 0.74494874 -0.29488600 110 -0.27273456 0.74494874 111 0.78221101 -0.27273456 112 -0.26354747 0.78221101 113 0.74613817 -0.26354747 114 0.74852676 0.74613817 115 -0.25530716 0.74852676 116 -0.27654851 -0.25530716 117 -0.29506055 -0.27654851 118 0.75213633 -0.29506055 119 -0.26040654 0.75213633 120 -0.32723244 -0.26040654 121 -0.25897485 -0.32723244 122 -0.29702198 -0.25897485 123 0.68474521 -0.29702198 124 0.74979359 0.68474521 125 0.74982496 0.74979359 126 -0.24685379 0.74982496 127 -0.24801879 -0.24685379 128 -0.24870175 -0.24801879 129 -0.24685379 -0.24870175 130 -0.24800601 -0.24685379 131 -0.26173001 -0.24800601 132 -0.24685379 -0.26173001 133 -0.24722166 -0.24685379 134 -0.24685379 -0.24722166 135 -0.24929048 -0.24685379 136 -0.24909857 -0.24929048 137 -0.24685379 -0.24909857 138 -0.24685379 -0.24685379 139 -0.24685379 -0.24685379 140 -0.24748484 -0.24685379 141 -0.24685379 -0.24748484 142 -0.24711389 -0.24685379 143 -0.24754378 -0.24711389 144 -0.25486477 -0.24754378 145 -0.24551950 -0.25486477 146 -0.24685379 -0.24551950 147 -0.24780991 -0.24685379 148 -0.24685379 -0.24780991 149 -0.24731292 -0.24685379 150 -0.24613260 -0.24731292 151 -0.25961973 -0.24613260 152 -0.24685379 -0.25961973 153 -0.24388853 -0.24685379 154 -0.24749238 -0.24388853 155 -0.24685379 -0.24749238 156 -0.24685379 -0.24685379 157 -0.24806589 -0.24685379 158 -0.25075639 -0.24806589 159 -0.24685379 -0.25075639 160 -0.24685379 -0.24685379 161 -0.24685379 -0.24685379 162 -0.24685379 -0.24685379 163 -0.25245142 -0.24685379 164 -0.25661437 -0.25245142 165 -0.24685379 -0.25661437 166 -0.24685379 -0.24685379 167 -0.24789232 -0.24685379 168 -0.24685379 -0.24789232 169 -0.24685379 -0.24685379 170 -0.24685379 -0.24685379 171 -0.24802048 -0.24685379 172 -0.24685379 -0.24802048 173 -0.24988681 -0.24685379 174 -0.24685379 -0.24988681 175 -0.24824748 -0.24685379 176 -0.24685379 -0.24824748 177 0.75285624 -0.24685379 178 -0.24685379 0.75285624 179 -0.24685379 -0.24685379 180 -0.27129679 -0.24685379 181 0.73854956 -0.27129679 182 -0.25020915 0.73854956 183 0.74539837 -0.25020915 184 0.75029687 0.74539837 185 0.75037461 0.75029687 186 0.74193284 0.75037461 187 -0.24927427 0.74193284 188 -0.24910002 -0.24927427 189 -0.24685379 -0.24910002 190 -0.24766856 -0.24685379 191 -0.24685379 -0.24766856 192 -0.24959363 -0.24685379 193 -0.24685379 -0.24959363 194 -0.24733805 -0.24685379 195 0.75314621 -0.24733805 196 0.68368620 0.75314621 197 0.75314621 0.68368620 198 0.75314621 0.75314621 199 0.73514822 0.75314621 200 0.75314621 0.73514822 201 0.75314621 0.75314621 202 0.75314621 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0.75314621 312 0.75314621 -0.28753641 313 0.74819517 0.75314621 314 -0.24752685 0.74819517 315 -0.25585286 -0.24752685 316 -0.24635868 -0.25585286 317 -0.24852665 -0.24635868 318 -0.24773733 -0.24852665 319 -0.24685379 -0.24773733 320 -0.24685379 -0.24685379 321 -0.24685379 -0.24685379 322 -0.24685379 -0.24685379 323 0.75314621 -0.24685379 324 -0.24685379 0.75314621 325 -0.24673337 -0.24685379 326 0.75314621 -0.24673337 327 0.75314621 0.75314621 328 -0.24685379 0.75314621 329 -0.24685379 -0.24685379 330 -0.24685379 -0.24685379 331 -0.24685379 -0.24685379 332 -0.24685379 -0.24685379 333 -0.24728373 -0.24685379 334 -0.24715624 -0.24728373 335 -0.24685379 -0.24715624 336 -0.24791051 -0.24685379 337 -0.24685379 -0.24791051 338 -0.24720281 -0.24685379 339 -0.24779174 -0.24720281 340 -0.24969687 -0.24779174 341 -0.24685379 -0.24969687 342 -0.24685379 -0.24685379 343 -0.24685379 -0.24685379 344 -0.24685379 -0.24685379 345 -0.24685379 -0.24685379 346 -0.24456625 -0.24685379 347 -0.24685379 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-0.24685379 -0.23826328 384 -0.25146153 -0.24685379 385 -0.24855595 -0.25146153 386 -0.24728692 -0.24855595 387 -0.24703581 -0.24728692 388 -0.24675041 -0.24703581 389 -0.24524651 -0.24675041 390 -0.25186489 -0.24524651 391 -0.24481528 -0.25186489 392 -0.24518993 -0.24481528 393 -0.26343509 -0.24518993 394 0.73584984 -0.26343509 395 -0.24353323 0.73584984 396 -0.24008911 -0.24353323 397 0.65375726 -0.24008911 398 -0.25047352 0.65375726 399 0.78575915 -0.25047352 400 -0.25998500 0.78575915 401 -0.25473831 -0.25998500 402 -0.24544759 -0.25473831 403 0.74422558 -0.24544759 404 -0.25011111 0.74422558 405 -0.25943358 -0.25011111 406 -0.25867995 -0.25943358 407 -0.24731364 -0.25867995 408 -0.24335391 -0.24731364 409 -0.25180459 -0.24335391 410 -0.26374062 -0.25180459 411 0.74596348 -0.26374062 412 0.75483805 0.74596348 413 0.73533053 0.75483805 414 -0.26261214 0.73533053 415 -0.25482124 -0.26261214 416 -0.24720875 -0.25482124 417 0.75199324 -0.24720875 418 -0.25905460 0.75199324 419 -0.24705770 -0.25905460 420 -0.24586604 -0.24705770 421 -0.25904784 -0.24586604 422 0.85119849 -0.25904784 423 -0.19617606 0.85119849 424 -0.23363610 -0.19617606 425 0.74262396 -0.23363610 426 -0.20212613 0.74262396 427 -0.38706743 -0.20212613 428 -0.26071313 -0.38706743 429 -0.30597585 -0.26071313 430 -0.17321596 -0.30597585 > 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/70ufv1291361223.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/8s3eg1291361223.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function') > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/9s3eg1291361223.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0)) > plot(mylm, las = 1, sub='Residual Diagnostics') > par(opar) > dev.off() null device 1 > if (n > n25) { + postscript(file="/var/www/html/rcomp/tmp/10s3eg1291361223.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) + plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint') + grid() + dev.off() + } null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE) > a<-table.row.end(a) > myeq <- colnames(x)[1] > myeq <- paste(myeq, '[t] = ', sep='') > for (i in 1:k){ + if (mysum$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/11odco1291361223.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/12h4tr1291361223.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/13trys1291361223.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/149opr1291361223.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/15vpnx1291361223.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/16g7ml1291361223.tab") + } > > try(system("convert tmp/1wczp1291361223.ps tmp/1wczp1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/2wczp1291361223.ps tmp/2wczp1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/3plga1291361223.ps tmp/3plga1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/4plga1291361223.ps tmp/4plga1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/5plga1291361223.ps tmp/5plga1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/6plga1291361223.ps tmp/6plga1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/70ufv1291361223.ps tmp/70ufv1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/8s3eg1291361223.ps tmp/8s3eg1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/9s3eg1291361223.ps tmp/9s3eg1291361223.png",intern=TRUE)) character(0) > try(system("convert tmp/10s3eg1291361223.ps tmp/10s3eg1291361223.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 12.070 2.203 26.427