R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
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> x <- array(list(162556
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+ ,18073
+ ,69
+ ,27284
+ ,-7170)
+ ,dim=c(4
+ ,431)
+ ,dimnames=list(c('Costs'
+ ,'Orders'
+ ,'Dividends'
+ ,'Wealth')
+ ,1:431))
> y <- array(NA,dim=c(4,431),dimnames=list(c('Costs','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
Costs Orders Dividends Wealth
1 162556 807 213118 6282154
2 29790 444 81767 4321023
3 87550 412 153198 4111912
4 84738 428 -26007 223193
5 54660 315 126942 1491348
6 42634 168 157214 1629616
7 40949 263 129352 1398893
8 45187 267 234817 1926517
9 37704 228 60448 983660
10 16275 129 47818 1443586
11 25830 104 245546 1073089
12 12679 122 48020 984885
13 18014 393 -1710 1405225
14 43556 190 32648 227132
15 24811 280 95350 929118
16 6575 63 151352 1071292
17 7123 102 288170 638830
18 21950 265 114337 856956
19 37597 234 37884 992426
20 17821 277 122844 444477
21 12988 73 82340 857217
22 22330 67 79801 711969
23 13326 103 165548 702380
24 16189 290 116384 358589
25 7146 83 134028 297978
26 15824 56 63838 585715
27 27664 236 74996 657954
28 11920 73 31080 209458
29 8568 34 32168 786690
30 14416 139 49857 439798
31 3369 26 87161 688779
32 11819 70 106113 574339
33 6984 40 80570 741409
34 4519 42 102129 597793
35 2220 12 301670 644190
36 18562 211 102313 377934
37 10327 74 88577 640273
38 5336 80 112477 697458
39 2365 83 191778 550608
40 4069 131 79804 207393
41 8636 203 128294 301607
42 13718 56 96448 345783
43 4525 89 93811 501749
44 6869 88 117520 379983
45 4628 39 69159 387475
46 3689 25 101792 377305
47 4891 49 210568 370837
48 7489 149 136996 430866
49 4901 58 121920 469107
50 2284 41 76403 194493
51 3160 90 108094 530670
52 4150 136 134759 518365
53 7285 97 188873 491303
54 1134 63 146216 527021
55 4658 114 156608 233773
56 2384 77 61348 405972
57 3748 6 50350 652925
58 5371 47 87720 446211
59 1285 51 99489 341340
60 9327 85 87419 387699
61 5565 43 94355 493408
62 1528 32 60326 146494
63 3122 25 94670 414462
64 7561 77 82425 364304
65 2675 54 59017 355178
66 13253 251 90829 357760
67 880 15 80791 261216
68 2053 44 100423 397144
69 1424 73 131116 374943
70 4036 85 100269 424898
71 3045 49 27330 202055
72 5119 38 39039 378525
73 1431 35 106885 310768
74 554 9 79285 325738
75 1975 34 118881 394510
76 1765 20 77623 247060
77 1012 29 114768 368078
78 810 11 74015 236761
79 1280 52 69465 312378
80 666 13 117869 339836
81 1380 29 60982 347385
82 4677 66 90131 426280
83 876 33 138971 352850
84 814 15 39625 301881
85 514 15 102725 377516
86 5692 68 64239 357312
87 3642 100 90262 458343
88 540 13 103960 354228
89 2099 45 106611 308636
90 567 14 103345 386212
91 2001 36 95551 393343
92 2949 40 82903 378509
93 2253 68 63593 452469
94 6533 29 126910 364839
95 1889 43 37527 358649
96 3055 30 60247 376641
97 272 9 112995 429112
98 1414 22 70184 330546
99 2564 19 130140 403560
100 1383 9 73221 317892
101 1261 31 76114 307528
102 975 19 90534 235133
103 3366 55 108479 299243
104 576 8 113761 314073
105 1686 28 68696 368186
106 746 29 71561 269661
107 3192 48 59831 125390
108 2045 16 97890 510834
109 5702 47 101481 321896
110 1932 20 72954 249898
111 936 22 67939 408881
112 3437 33 48022 158492
113 5131 44 86111 292154
114 2397 13 74020 289513
115 1389 6 57530 378049
116 1503 35 56364 343466
117 402 8 84990 332743
118 2239 17 88590 442882
119 2234 11 77200 214215
120 837 21 61262 315688
121 10579 92 110309 375195
122 875 12 67000 334280
123 1585 112 93099 355864
124 1659 25 107577 480382
125 2647 17 62920 353058
126 3294 23 75832 217193
127 0 0 60720 315380
128 94 10 60793 314533
129 422 23 57935 318056
130 0 0 60720 315380
131 34 7 60630 314353
132 1558 25 55637 369448
133 0 1 60720 315380
134 43 20 60887 312846
135 645 4 60720 312075
136 316 4 60505 315009
137 115 10 60945 318903
138 5 1 60720 314887
139 897 4 60720 314913
140 0 0 60720 315380
141 389 8 58990 325506
142 0 0 60720 315380
143 1002 11 56750 298568
144 36 4 60894 315834
145 460 15 63346 329784
146 309 9 56535 312878
147 0 0 60720 315380
148 9 7 60835 314987
149 271 2 60720 325249
150 14 0 61016 315877
151 520 7 58650 291650
152 1766 46 60438 305959
153 0 5 60720 315380
154 458 7 58625 297765
155 20 2 60938 315245
156 0 0 60720 315380
157 0 0 60720 315380
158 98 2 61490 315236
159 405 5 60845 336425
160 0 0 60720 315380
161 0 0 60720 315380
162 0 0 60720 315380
163 0 0 60720 315380
164 483 7 60830 306268
165 454 24 63261 302187
166 47 1 60720 314882
167 0 0 60720 315380
168 757 18 45689 382712
169 4655 55 60720 341570
170 0 0 60720 315380
171 0 0 60720 315380
172 36 3 61564 312412
173 0 0 60720 315380
174 203 9 61938 309596
175 0 0 60720 315380
176 126 8 60951 315547
177 400 113 60720 313267
178 71 0 60745 316176
179 0 0 60720 315380
180 0 0 60720 315380
181 972 19 71642 359335
182 531 11 71641 330068
183 2461 25 55792 314289
184 378 16 71873 297413
185 23 5 62555 314806
186 638 11 60370 333210
187 2300 23 64873 352108
188 149 6 62041 313332
189 226 5 65745 291787
190 0 0 60720 315380
191 275 7 59500 318745
192 0 0 60720 315380
193 141 7 61630 315366
194 0 0 60720 315380
195 28 3 60890 315688
196 0 0 60720 315380
197 4980 89 113521 409642
198 0 0 60720 315380
199 0 0 60720 315380
200 472 19 80045 269587
201 0 0 60720 315380
202 0 0 60720 315380
203 0 0 60720 315380
204 203 12 50804 300962
205 496 12 87390 325479
206 10 5 61656 316155
207 63 2 65688 318574
208 0 0 60720 315380
209 1136 26 48522 343613
210 265 3 60720 306948
211 0 0 60720 315380
212 0 0 60720 315380
213 267 11 57640 330059
214 474 10 61977 288985
215 534 5 62620 304485
216 0 2 60720 315380
217 15 6 60831 315688
218 397 7 60646 317736
219 0 2 60720 315380
220 1866 28 56225 322331
221 288 3 60510 296656
222 0 0 60720 315380
223 3 1 60698 315354
224 468 20 60720 312161
225 20 1 60805 315576
226 278 22 61404 314922
227 61 9 60720 314551
228 0 0 60720 315380
229 192 2 65276 312339
230 0 0 60720 315380
231 317 7 63915 298700
232 738 9 60720 321376
233 0 0 60720 315380
234 368 13 61686 303230
235 0 0 60720 315380
236 2 0 60743 315487
237 0 0 60720 315380
238 53 6 60349 315793
239 0 0 60720 315380
240 0 0 60720 315380
241 0 0 60720 315380
242 94 3 61360 312887
243 0 0 60720 315380
244 24 7 59818 315637
245 2332 2 72680 324385
246 0 0 60720 315380
247 0 0 60720 315380
248 131 15 61808 308989
249 0 0 60720 315380
250 0 0 60720 315380
251 206 9 53110 296702
252 0 0 60720 315380
253 167 1 64245 307322
254 622 38 73007 304376
255 2328 57 82732 253588
256 0 0 60720 315380
257 365 7 54820 309560
258 364 26 47705 298466
259 0 0 60720 315380
260 0 0 60720 315380
261 0 0 60720 315380
262 0 0 60720 315380
263 226 13 72835 343929
264 307 10 58856 331955
265 0 0 60720 315380
266 0 0 60720 315380
267 0 0 60720 315380
268 188 9 77655 381180
269 0 0 60720 315380
270 138 26 69817 331420
271 0 0 60720 315380
272 0 0 60720 315380
273 0 0 60720 315380
274 125 19 60798 310201
275 0 0 60720 315380
276 282 12 62452 320016
277 335 23 64175 320398
278 0 0 60720 315380
279 1324 29 67440 291841
280 176 8 68136 310670
281 0 0 60720 315380
282 0 0 60720 315380
283 249 26 56726 313491
284 0 0 60720 315380
285 333 9 70811 331323
286 0 0 60720 315380
287 601 5 60720 319210
288 30 3 62045 318098
289 0 0 60720 315380
290 249 13 54323 292754
291 0 0 60720 315380
292 165 12 62841 325176
293 453 19 81125 365959
294 0 0 60720 315380
295 53 10 59506 302409
296 382 9 59365 340968
297 0 0 60720 315380
298 0 0 60720 315380
299 0 0 60720 315380
300 0 9 60720 315380
301 30 4 60798 313164
302 290 1 58790 301164
303 0 1 60720 315380
304 0 0 60720 315380
305 366 14 61808 344425
306 2 12 60735 315394
307 0 0 60720 315380
308 209 19 64016 316647
309 384 17 54683 309836
310 0 0 60720 315380
311 0 0 60720 315380
312 365 32 87192 346611
313 0 0 60720 315380
314 49 14 64107 322031
315 3 8 60761 315656
316 133 4 65990 339445
317 32 0 59988 314964
318 368 20 61167 297141
319 1 5 60719 315372
320 0 0 60720 315380
321 0 0 60720 315380
322 0 0 60720 315380
323 0 0 60720 315380
324 0 0 60720 315380
325 0 0 60720 315380
326 22 1 60722 312502
327 0 0 60720 315380
328 0 0 60720 315380
329 0 0 60720 315380
330 0 0 60720 315380
331 0 0 60720 315380
332 0 0 60720 315380
333 0 0 60720 315380
334 96 4 60379 313729
335 1 1 60727 315388
336 314 4 60720 315371
337 844 20 60925 296139
338 0 0 60720 315380
339 26 1 60896 313880
340 125 10 59734 317698
341 304 12 62969 295580
342 0 0 60720 315380
343 0 0 60720 315380
344 0 0 60720 315380
345 621 13 60720 308256
346 0 0 60720 315380
347 119 3 59118 303677
348 0 0 60720 315380
349 0 0 60720 315380
350 1595 10 60720 319369
351 312 3 58598 318690
352 60 7 61124 314049
353 587 10 59595 325699
354 135 1 62065 314210
355 0 0 60720 315380
356 0 0 60720 315380
357 514 15 78780 322378
358 0 0 60720 315380
359 0 0 60720 315380
360 0 0 60720 315380
361 1 4 60722 315398
362 0 0 60720 315380
363 0 0 60720 315380
364 1763 28 61600 308336
365 180 9 59635 316386
366 0 0 60720 315380
367 0 0 60720 315380
368 0 0 60720 315380
369 0 0 60720 315380
370 218 7 60720 315553
371 0 0 60720 315380
372 448 7 59781 323361
373 227 7 76644 336639
374 174 3 64820 307424
375 0 0 60720 315380
376 0 0 60720 315380
377 121 11 56178 295370
378 607 7 60436 322340
379 2212 10 60720 319864
380 0 0 60720 315380
381 0 0 60720 315380
382 530 18 73433 317291
383 571 14 41477 280398
384 0 0 60720 315380
385 78 12 62700 317330
386 2489 29 67804 238125
387 131 3 59661 327071
388 923 6 58620 309038
389 72 3 60398 314210
390 572 8 58580 307930
391 397 10 62710 322327
392 450 6 59325 292136
393 622 8 60950 263276
394 694 6 68060 367655
395 3425 9 83620 283910
396 562 8 58456 283587
397 4917 26 52811 243650
398 1442 239 121173 438493
399 529 7 63870 296261
400 2126 41 21001 230621
401 1061 3 70415 304252
402 776 8 64230 333505
403 611 6 59190 296919
404 1526 21 69351 278990
405 592 7 64270 276898
406 1182 11 70694 327007
407 621 11 68005 317046
408 989 12 58930 304555
409 438 9 58320 298096
410 726 3 69980 231861
411 1303 57 69863 309422
412 7419 21 63255 286963
413 1164 15 57320 269753
414 3310 32 75230 448243
415 1920 11 79420 165404
416 965 2 73490 204325
417 3256 23 35250 407159
418 1135 20 62285 290476
419 1270 24 69206 275311
420 661 1 65920 246541
421 1013 1 69770 253468
422 2844 74 72683 240897
423 11528 68 -14545 -83265
424 6526 20 55830 -42143
425 2264 20 55174 272713
426 5109 82 67038 215362
427 3999 21 51252 42754
428 35624 244 157278 306275
429 9252 32 79510 253537
430 15236 86 77440 372631
431 18073 69 27284 -7170
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) Orders Dividends Wealth
-2.185e+03 1.034e+02 -1.737e-02 8.923e-03
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-51069.2 -521.0 339.6 425.6 40226.2
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.185e+03 6.285e+02 -3.476 0.00056 ***
Orders 1.034e+02 5.049e+00 20.477 < 2e-16 ***
Dividends -1.737e-02 8.381e-03 -2.073 0.03878 *
Wealth 8.923e-03 8.734e-04 10.217 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 5104 on 427 degrees of freedom
Multiple R-squared: 0.8148, Adjusted R-squared: 0.8135
F-statistic: 626.3 on 3 and 427 DF, p-value: < 2.2e-16
> if (n > n25) {
+ kp3 <- k + 3
+ nmkm3 <- n - k - 3
+ gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
+ numgqtests <- 0
+ numsignificant1 <- 0
+ numsignificant5 <- 0
+ numsignificant10 <- 0
+ for (mypoint in kp3:nmkm3) {
+ j <- 0
+ numgqtests <- numgqtests + 1
+ for (myalt in c('greater', 'two.sided', 'less')) {
+ j <- j + 1
+ gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
+ }
+ if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
+ }
+ gqarr
+ }
[,1] [,2] [,3]
[1,] 1.0000000 4.085643e-25 2.042821e-25
[2,] 1.0000000 8.013174e-34 4.006587e-34
[3,] 1.0000000 1.743977e-35 8.719885e-36
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[338,] 1.0000000 6.888317e-09 3.444158e-09
[339,] 1.0000000 1.223454e-08 6.117269e-09
[340,] 1.0000000 2.167700e-08 1.083850e-08
[341,] 1.0000000 3.809290e-08 1.904645e-08
[342,] 1.0000000 6.651171e-08 3.325586e-08
[343,] 0.9999999 1.152718e-07 5.763589e-08
[344,] 0.9999999 1.915526e-07 9.577629e-08
[345,] 0.9999998 3.261596e-07 1.630798e-07
[346,] 0.9999997 5.509601e-07 2.754800e-07
[347,] 0.9999995 9.269720e-07 4.634860e-07
[348,] 0.9999992 1.547445e-06 7.737227e-07
[349,] 0.9999987 2.563232e-06 1.281616e-06
[350,] 0.9999979 4.212304e-06 2.106152e-06
[351,] 0.9999967 6.652101e-06 3.326051e-06
[352,] 0.9999946 1.076666e-05 5.383329e-06
[353,] 0.9999914 1.728466e-05 8.642328e-06
[354,] 0.9999862 2.752094e-05 1.376047e-05
[355,] 0.9999783 4.345261e-05 2.172631e-05
[356,] 0.9999660 6.804043e-05 3.402022e-05
[357,] 0.9999472 1.056407e-04 5.282037e-05
[358,] 0.9999190 1.620307e-04 8.101535e-05
[359,] 0.9998766 2.468922e-04 1.234461e-04
[360,] 0.9998132 3.735697e-04 1.867849e-04
[361,] 0.9997199 5.602646e-04 2.801323e-04
[362,] 0.9995836 8.327819e-04 4.163910e-04
[363,] 0.9993866 1.226718e-03 6.133588e-04
[364,] 0.9991048 1.790309e-03 8.951545e-04
[365,] 0.9987054 2.589264e-03 1.294632e-03
[366,] 0.9981456 3.708726e-03 1.854363e-03
[367,] 0.9973738 5.252402e-03 2.626201e-03
[368,] 0.9963130 7.374070e-03 3.687035e-03
[369,] 0.9948650 1.027003e-02 5.135017e-03
[370,] 0.9929176 1.416473e-02 7.082363e-03
[371,] 0.9904297 1.914052e-02 9.570261e-03
[372,] 0.9870664 2.586718e-02 1.293359e-02
[373,] 0.9833306 3.333880e-02 1.666940e-02
[374,] 0.9778618 4.427642e-02 2.213821e-02
[375,] 0.9708986 5.820288e-02 2.910144e-02
[376,] 0.9627698 7.446040e-02 3.723020e-02
[377,] 0.9520631 9.587390e-02 4.793695e-02
[378,] 0.9388658 1.222685e-01 6.113424e-02
[379,] 0.9233200 1.533599e-01 7.667996e-02
[380,] 0.9066587 1.866826e-01 9.334128e-02
[381,] 0.8845274 2.309452e-01 1.154726e-01
[382,] 0.8589360 2.821281e-01 1.410640e-01
[383,] 0.8291497 3.417006e-01 1.708503e-01
[384,] 0.7953074 4.093852e-01 2.046926e-01
[385,] 0.7575010 4.849981e-01 2.424990e-01
[386,] 0.7160851 5.678298e-01 2.839149e-01
[387,] 0.6732332 6.535336e-01 3.267668e-01
[388,] 0.6271913 7.456174e-01 3.728087e-01
[389,] 0.5808355 8.383290e-01 4.191645e-01
[390,] 0.5289826 9.420348e-01 4.710174e-01
[391,] 0.4832403 9.664806e-01 5.167597e-01
[392,] 0.9993777 1.244643e-03 6.223214e-04
[393,] 0.9989266 2.146779e-03 1.073389e-03
[394,] 0.9986825 2.634923e-03 1.317461e-03
[395,] 0.9978588 4.282482e-03 2.141241e-03
[396,] 0.9964592 7.081687e-03 3.540843e-03
[397,] 0.9942167 1.156654e-02 5.783268e-03
[398,] 0.9910051 1.798971e-02 8.994853e-03
[399,] 0.9858042 2.839162e-02 1.419581e-02
[400,] 0.9781250 4.375003e-02 2.187502e-02
[401,] 0.9668825 6.623494e-02 3.311747e-02
[402,] 0.9508920 9.821603e-02 4.910802e-02
[403,] 0.9288966 1.422068e-01 7.110342e-02
[404,] 0.8993719 2.012562e-01 1.006281e-01
[405,] 0.9293866 1.412267e-01 7.061337e-02
[406,] 0.9344830 1.310339e-01 6.551697e-02
[407,] 0.9039307 1.921386e-01 9.606931e-02
[408,] 0.8627064 2.745871e-01 1.372936e-01
[409,] 0.8089671 3.820657e-01 1.910329e-01
[410,] 0.7405855 5.188291e-01 2.594145e-01
[411,] 0.6806729 6.386543e-01 3.193271e-01
[412,] 0.5903046 8.193908e-01 4.096954e-01
[413,] 0.5013504 9.972992e-01 4.986496e-01
[414,] 0.3948549 7.897097e-01 6.051451e-01
[415,] 0.2925943 5.851887e-01 7.074057e-01
[416,] 0.4531570 9.063140e-01 5.468430e-01
[417,] 0.3410712 6.821425e-01 6.589288e-01
[418,] 0.2134217 4.268434e-01 7.865783e-01
> postscript(file="/var/www/html/rcomp/tmp/1e5sx1292938441.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$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/2e5sx1292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$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/3e5sx1292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/47fr01292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/57fr01292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
> qqline(mysum$resid)
> grid()
> dev.off()
null device
1
> (myerror <- as.ts(mysum$resid))
Time Series:
Start = 1
End = 431
Frequency = 1
1 2 3 4 5
2.894692e+04 -5.106920e+04 1.310643e+04 4.022619e+04 1.317328e+04
6 7 8 9 10
1.563856e+04 5.705697e+03 6.654402e+03 8.587580e+03 -6.928696e+03
11 12 13 14 15
1.195252e+04 -5.704364e+03 -3.300428e+04 2.463621e+04 -8.588906e+03
16 17 18 19 20
-4.683766e+03 -1.932186e+03 -8.925183e+03 7.389960e+03 -1.046652e+04
21 22 23 24 25
1.406486e+03 1.262081e+04 1.469915e+03 -1.278850e+04 4.187309e+02
26 27 28 29 30
8.101405e+03 8.794954e+02 5.227941e+03 7.765397e+02 -8.292800e+02
31 32 33 34 35
-1.766174e+03 3.484866e+03 -1.828464e+02 -1.198564e+03 2.657120e+03
36 37 38 39 40
-2.664355e+03 6.862752e+02 -5.020128e+03 -5.613173e+03 -7.755034e+03
41 42 43 44 45
-1.063072e+04 8.702920e+03 -5.339650e+03 -1.393799e+03 5.244980e+02
46 47 48 49 50
1.690748e+03 2.358851e+03 -7.196577e+03 -9.787577e+02 -1.784293e+02
51 52 53 54 55
-6.817959e+03 -1.001107e+04 -1.661993e+03 -5.357390e+03 -4.309310e+03
56 57 58 59 60
-5.949287e+03 3.611094e+02 2.387043e+02 -3.120623e+03 7.825609e+02
61 62 63 64 65
5.404169e+02 1.451091e+02 6.684533e+02 -3.428489e+01 -2.867449e+03
66 67 68 69 70
-1.212868e+04 5.867092e+02 -2.110575e+03 -5.006678e+03 -4.617115e+03
71 72 73 74 75
-1.164665e+03 6.754499e+02 -9.190005e+02 2.791772e+02 -8.104282e+02
76 77 78 79 80
1.026007e+03 -1.092054e+03 1.030780e+03 -3.492224e+03 5.221564e+02
81 82 83 84 85
-1.473887e+03 -2.200072e+03 -1.085251e+03 -5.573695e+02 -4.359706e+02
86 87 88 89 90
-1.226300e+03 -7.034342e+03 2.607924e+01 -1.270691e+03 -3.463990e+02
91 92 93 94 95
-1.386142e+03 -9.391039e+02 -5.525623e+03 4.668803e+03 -2.920440e+03
96 97 98 99 100
-1.761075e+02 -3.395656e+02 -4.059864e+02 1.444362e+03 1.072832e+03
101 102 103 104 105
-1.181124e+03 6.701451e+02 -9.213749e+02 1.107648e+03 -1.116078e+03
106 107 108 109 110
-1.230544e+03 3.344967e+02 -2.819851e+02 1.918069e+03 1.086564e+03
111 112 113 114 115
-1.621986e+03 1.629884e+03 1.655608e+03 1.940362e+03 5.796129e+02
116 117 118 119 120
-2.016522e+03 2.671847e+02 2.533866e+02 2.711297e+03 -9.020219e+02
121 122 123 124 125
1.820060e+03 3.296227e-01 -9.368362e+03 -1.158514e+03 1.016908e+03
126 127 128 129 130
2.480212e+03 4.256129e+02 -5.055148e+02 -1.602746e+03 4.256129e+02
131 132 133 134 135
-2.565545e+02 -1.172041e+03 3.222175e+02 -1.573782e+03 6.865223e+02
136 137 138 139 140
3.276064e+02 -5.208681e+02 3.316166e+02 9.131984e+02 4.256129e+02
141 142 143 144 145
-1.329631e+02 4.256129e+02 3.713046e+02 4.700327e+01 -7.482228e+02
146 147 148 149 150
-2.463302e+02 4.256129e+02 -2.836501e+02 4.017596e+02 4.403208e+02
151 152 153 154 155
3.976271e+02 -2.485410e+03 -9.136409e+01 2.806277e+02 2.438142e+02
156 157 158 159 160
4.256129e+02 4.256129e+02 3.314850e+02 1.280201e+02 4.256129e+02
161 162 163 164 165
4.256129e+02 4.256129e+02 4.256129e+02 2.680640e+02 -1.440006e+03
166 167 168 169 170
3.736612e+02 4.256129e+02 -1.540466e+03 -8.398307e+02 4.256129e+02
171 172 173 174 175
4.256129e+02 1.925743e+02 4.256129e+02 -2.291726e+02 4.256129e+02
176 177 178 179 180
-2.730270e+02 -1.083921e+04 4.899444e+02 4.256129e+02 4.256129e+02
181 182 183 184 185
-7.693573e+02 -1.220579e+02 2.258441e+02 -4.966188e+02 -3.136088e+01
186 187 188 189 190
-2.389170e+02 9.194398e+01 -4.533803e+00 4.324641e+02 4.256129e+02
191 192 193 194 195
-7.437756e+01 4.256129e+02 -1.412196e+02 4.256129e+02 1.436319e+02
196 197 198 199 200
4.256129e+02 -3.720324e+03 4.256129e+02 4.256129e+02 -3.225290e+02
201 202 203 204 205
4.256129e+02 4.256129e+02 4.256129e+02 -6.557587e+02 5.411853e+01
206 207 208 209 210
-7.201745e+01 3.396357e+02 4.256129e+02 -1.590523e+03 4.556666e+02
211 212 213 214 215
4.256129e+02 4.256129e+02 -6.292313e+02 1.230245e+02 5.728642e+02
216 217 218 219 220
2.188221e+02 -1.805793e+02 7.653652e+01 2.188221e+02 -7.435791e+02
221 222 223 224 225
5.668551e+02 4.256129e+02 3.250672e+02 -1.145571e+03 3.419453e+02
226 227 228 229 230
-1.555115e+03 -4.365484e+02 4.256129e+02 5.171134e+02 4.256129e+02
231 232 233 234 235
2.231932e+02 1.795512e+02 4.256129e+02 -4.253277e+02 4.256129e+02
236 237 238 239 240
4.270577e+02 4.256129e+02 -1.518905e+02 4.256129e+02 4.256129e+02
241 242 243 244 245
4.256129e+02 2.427915e+02 4.256129e+02 -2.921195e+02 2.678262e+03
246 247 248 249 250
4.256129e+02 4.256129e+02 -9.183872e+02 4.256129e+02 4.256129e+02
251 252 253 254 255
-2.644955e+02 4.256129e+02 6.223636e+02 -2.569747e+03 -2.206108e+03
256 257 258 259 260
4.256129e+02 1.627109e+01 -1.973864e+03 4.256129e+02 4.256129e+02
261 262 263 264 265
4.256129e+02 4.256129e+02 -7.367878e+02 -4.816273e+02 4.256129e+02
266 267 268 269 270
4.256129e+02 4.256129e+02 -6.098594e+02 4.256129e+02 -2.109743e+03
271 272 273 274 275
4.256129e+02 4.256129e+02 4.256129e+02 -1.366331e+03 4.256129e+02
276 277 278 279 280
-5.444077e+02 -1.602230e+03 4.256129e+02 -9.220581e+02 -5.467651e+01
281 282 283 284 285
4.256129e+02 4.256129e+02 -2.066203e+03 4.256129e+02 -1.388861e+02
286 287 288 289 290
4.256129e+02 4.754603e+02 1.441942e+02 4.256129e+02 -5.787738e+02
291 292 293 294 295
4.256129e+02 -7.006926e+02 -1.182706e+03 4.256129e+02 -4.606910e+02
296 297 298 299 300
-3.748129e+02 4.256129e+02 4.256129e+02 4.256129e+02 -5.049457e+02
301 302 303 304 305
6.316016e+01 7.055370e+02 3.222175e+02 4.256129e+02 -8.961924e+02
306 307 308 309 310
-8.129961e+02 4.256129e+02 -1.283940e+03 -1.003526e+03 4.256129e+02
311 312 313 314 315
4.256129e+02 -2.336793e+03 4.256129e+02 -9.734246e+02 -4.003007e+02
316 317 318 319 320
2.185694e+01 4.486071e+02 -1.103780e+03 -9.031008e+01 4.256129e+02
321 322 323 324 325
4.256129e+02 4.256129e+02 4.256129e+02 4.256129e+02 4.256129e+02
326 327 328 329 330
3.699330e+02 4.256129e+02 4.256129e+02 4.256129e+02 4.256129e+02
331 332 333 334 335
4.256129e+02 4.256129e+02 4.256129e+02 1.168389e+02 3.232677e+02
336 337 338 339 340
3.261116e+02 -6.230431e+02 4.256129e+02 3.646600e+02 -5.211557e+02
341 342 343 344 345
-2.953794e+02 4.256129e+02 4.256129e+02 4.256129e+02 -2.339587e+02
346 347 348 349 350
4.256129e+02 3.110211e+02 4.256129e+02 4.256129e+02 9.510645e+02
351 352 353 354 355
3.610234e+02 -2.192591e+02 -1.329647e+02 4.910256e+02 4.256129e+02
356 357 358 359 360
4.256129e+02 -3.599873e+02 4.256129e+02 4.256129e+02 4.256129e+02
361 362 363 364 365
1.290543e+01 4.256129e+02 4.256129e+02 -6.283143e+02 -3.527732e+02
366 367 368 369 370
4.256129e+02 4.256129e+02 4.256129e+02 4.256129e+02 -8.169858e+01
371 372 373 374 375
4.256129e+02 6.231531e+01 1.581195e+01 4.316527e+02 4.256129e+02
376 377 378 379 380
4.256129e+02 -4.910971e+02 2.418058e+02 1.563648e+03 4.256129e+02
381 382 383 384 385
4.256129e+02 -7.016803e+02 -4.731015e+02 4.256129e+02 -7.201314e+02
386 387 388 389 390
7.285816e+02 1.237071e+02 7.483456e+02 1.922723e+02 1.997467e+02
391 392 393 394 395
-2.387558e+02 4.384133e+02 6.893772e+02 1.603085e+02 3.598731e+03
396 397 398 399 400
4.048085e+02 3.156979e+03 -2.289213e+04 4.561749e+02 -1.621360e+03
401 402 403 404 405
1.444165e+03 2.737006e+02 5.543884e+02 2.549781e+02 6.989033e+02
406 407 408 409 410
5.398027e+02 2.096736e+01 2.393617e+02 4.558431e+01 1.747562e+03
411 412 413 414 415
-3.952910e+03 5.970922e+03 3.867466e+02 -5.064982e+02 2.871415e+03
416 417 418 419 420
2.396648e+03 4.204533e+01 -2.578826e+02 -2.808991e+02 1.687823e+03
421 422 423 424 425
2.044902e+03 -3.509178e+03 7.172237e+03 7.988975e+03 9.060725e+02
426 427 428 429 430
-1.941565e+03 4.521493e+03 1.257998e+04 7.247252e+03 6.549244e+03
431
1.366157e+04
> postscript(file="/var/www/html/rcomp/tmp/67fr01292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> dum <- cbind(lag(myerror,k=1),myerror)
> dum
Time Series:
Start = 0
End = 431
Frequency = 1
lag(myerror, k = 1) myerror
0 2.894692e+04 NA
1 -5.106920e+04 2.894692e+04
2 1.310643e+04 -5.106920e+04
3 4.022619e+04 1.310643e+04
4 1.317328e+04 4.022619e+04
5 1.563856e+04 1.317328e+04
6 5.705697e+03 1.563856e+04
7 6.654402e+03 5.705697e+03
8 8.587580e+03 6.654402e+03
9 -6.928696e+03 8.587580e+03
10 1.195252e+04 -6.928696e+03
11 -5.704364e+03 1.195252e+04
12 -3.300428e+04 -5.704364e+03
13 2.463621e+04 -3.300428e+04
14 -8.588906e+03 2.463621e+04
15 -4.683766e+03 -8.588906e+03
16 -1.932186e+03 -4.683766e+03
17 -8.925183e+03 -1.932186e+03
18 7.389960e+03 -8.925183e+03
19 -1.046652e+04 7.389960e+03
20 1.406486e+03 -1.046652e+04
21 1.262081e+04 1.406486e+03
22 1.469915e+03 1.262081e+04
23 -1.278850e+04 1.469915e+03
24 4.187309e+02 -1.278850e+04
25 8.101405e+03 4.187309e+02
26 8.794954e+02 8.101405e+03
27 5.227941e+03 8.794954e+02
28 7.765397e+02 5.227941e+03
29 -8.292800e+02 7.765397e+02
30 -1.766174e+03 -8.292800e+02
31 3.484866e+03 -1.766174e+03
32 -1.828464e+02 3.484866e+03
33 -1.198564e+03 -1.828464e+02
34 2.657120e+03 -1.198564e+03
35 -2.664355e+03 2.657120e+03
36 6.862752e+02 -2.664355e+03
37 -5.020128e+03 6.862752e+02
38 -5.613173e+03 -5.020128e+03
39 -7.755034e+03 -5.613173e+03
40 -1.063072e+04 -7.755034e+03
41 8.702920e+03 -1.063072e+04
42 -5.339650e+03 8.702920e+03
43 -1.393799e+03 -5.339650e+03
44 5.244980e+02 -1.393799e+03
45 1.690748e+03 5.244980e+02
46 2.358851e+03 1.690748e+03
47 -7.196577e+03 2.358851e+03
48 -9.787577e+02 -7.196577e+03
49 -1.784293e+02 -9.787577e+02
50 -6.817959e+03 -1.784293e+02
51 -1.001107e+04 -6.817959e+03
52 -1.661993e+03 -1.001107e+04
53 -5.357390e+03 -1.661993e+03
54 -4.309310e+03 -5.357390e+03
55 -5.949287e+03 -4.309310e+03
56 3.611094e+02 -5.949287e+03
57 2.387043e+02 3.611094e+02
58 -3.120623e+03 2.387043e+02
59 7.825609e+02 -3.120623e+03
60 5.404169e+02 7.825609e+02
61 1.451091e+02 5.404169e+02
62 6.684533e+02 1.451091e+02
63 -3.428489e+01 6.684533e+02
64 -2.867449e+03 -3.428489e+01
65 -1.212868e+04 -2.867449e+03
66 5.867092e+02 -1.212868e+04
67 -2.110575e+03 5.867092e+02
68 -5.006678e+03 -2.110575e+03
69 -4.617115e+03 -5.006678e+03
70 -1.164665e+03 -4.617115e+03
71 6.754499e+02 -1.164665e+03
72 -9.190005e+02 6.754499e+02
73 2.791772e+02 -9.190005e+02
74 -8.104282e+02 2.791772e+02
75 1.026007e+03 -8.104282e+02
76 -1.092054e+03 1.026007e+03
77 1.030780e+03 -1.092054e+03
78 -3.492224e+03 1.030780e+03
79 5.221564e+02 -3.492224e+03
80 -1.473887e+03 5.221564e+02
81 -2.200072e+03 -1.473887e+03
82 -1.085251e+03 -2.200072e+03
83 -5.573695e+02 -1.085251e+03
84 -4.359706e+02 -5.573695e+02
85 -1.226300e+03 -4.359706e+02
86 -7.034342e+03 -1.226300e+03
87 2.607924e+01 -7.034342e+03
88 -1.270691e+03 2.607924e+01
89 -3.463990e+02 -1.270691e+03
90 -1.386142e+03 -3.463990e+02
91 -9.391039e+02 -1.386142e+03
92 -5.525623e+03 -9.391039e+02
93 4.668803e+03 -5.525623e+03
94 -2.920440e+03 4.668803e+03
95 -1.761075e+02 -2.920440e+03
96 -3.395656e+02 -1.761075e+02
97 -4.059864e+02 -3.395656e+02
98 1.444362e+03 -4.059864e+02
99 1.072832e+03 1.444362e+03
100 -1.181124e+03 1.072832e+03
101 6.701451e+02 -1.181124e+03
102 -9.213749e+02 6.701451e+02
103 1.107648e+03 -9.213749e+02
104 -1.116078e+03 1.107648e+03
105 -1.230544e+03 -1.116078e+03
106 3.344967e+02 -1.230544e+03
107 -2.819851e+02 3.344967e+02
108 1.918069e+03 -2.819851e+02
109 1.086564e+03 1.918069e+03
110 -1.621986e+03 1.086564e+03
111 1.629884e+03 -1.621986e+03
112 1.655608e+03 1.629884e+03
113 1.940362e+03 1.655608e+03
114 5.796129e+02 1.940362e+03
115 -2.016522e+03 5.796129e+02
116 2.671847e+02 -2.016522e+03
117 2.533866e+02 2.671847e+02
118 2.711297e+03 2.533866e+02
119 -9.020219e+02 2.711297e+03
120 1.820060e+03 -9.020219e+02
121 3.296227e-01 1.820060e+03
122 -9.368362e+03 3.296227e-01
123 -1.158514e+03 -9.368362e+03
124 1.016908e+03 -1.158514e+03
125 2.480212e+03 1.016908e+03
126 4.256129e+02 2.480212e+03
127 -5.055148e+02 4.256129e+02
128 -1.602746e+03 -5.055148e+02
129 4.256129e+02 -1.602746e+03
130 -2.565545e+02 4.256129e+02
131 -1.172041e+03 -2.565545e+02
132 3.222175e+02 -1.172041e+03
133 -1.573782e+03 3.222175e+02
134 6.865223e+02 -1.573782e+03
135 3.276064e+02 6.865223e+02
136 -5.208681e+02 3.276064e+02
137 3.316166e+02 -5.208681e+02
138 9.131984e+02 3.316166e+02
139 4.256129e+02 9.131984e+02
140 -1.329631e+02 4.256129e+02
141 4.256129e+02 -1.329631e+02
142 3.713046e+02 4.256129e+02
143 4.700327e+01 3.713046e+02
144 -7.482228e+02 4.700327e+01
145 -2.463302e+02 -7.482228e+02
146 4.256129e+02 -2.463302e+02
147 -2.836501e+02 4.256129e+02
148 4.017596e+02 -2.836501e+02
149 4.403208e+02 4.017596e+02
150 3.976271e+02 4.403208e+02
151 -2.485410e+03 3.976271e+02
152 -9.136409e+01 -2.485410e+03
153 2.806277e+02 -9.136409e+01
154 2.438142e+02 2.806277e+02
155 4.256129e+02 2.438142e+02
156 4.256129e+02 4.256129e+02
157 3.314850e+02 4.256129e+02
158 1.280201e+02 3.314850e+02
159 4.256129e+02 1.280201e+02
160 4.256129e+02 4.256129e+02
161 4.256129e+02 4.256129e+02
162 4.256129e+02 4.256129e+02
163 2.680640e+02 4.256129e+02
164 -1.440006e+03 2.680640e+02
165 3.736612e+02 -1.440006e+03
166 4.256129e+02 3.736612e+02
167 -1.540466e+03 4.256129e+02
168 -8.398307e+02 -1.540466e+03
169 4.256129e+02 -8.398307e+02
170 4.256129e+02 4.256129e+02
171 1.925743e+02 4.256129e+02
172 4.256129e+02 1.925743e+02
173 -2.291726e+02 4.256129e+02
174 4.256129e+02 -2.291726e+02
175 -2.730270e+02 4.256129e+02
176 -1.083921e+04 -2.730270e+02
177 4.899444e+02 -1.083921e+04
178 4.256129e+02 4.899444e+02
179 4.256129e+02 4.256129e+02
180 -7.693573e+02 4.256129e+02
181 -1.220579e+02 -7.693573e+02
182 2.258441e+02 -1.220579e+02
183 -4.966188e+02 2.258441e+02
184 -3.136088e+01 -4.966188e+02
185 -2.389170e+02 -3.136088e+01
186 9.194398e+01 -2.389170e+02
187 -4.533803e+00 9.194398e+01
188 4.324641e+02 -4.533803e+00
189 4.256129e+02 4.324641e+02
190 -7.437756e+01 4.256129e+02
191 4.256129e+02 -7.437756e+01
192 -1.412196e+02 4.256129e+02
193 4.256129e+02 -1.412196e+02
194 1.436319e+02 4.256129e+02
195 4.256129e+02 1.436319e+02
196 -3.720324e+03 4.256129e+02
197 4.256129e+02 -3.720324e+03
198 4.256129e+02 4.256129e+02
199 -3.225290e+02 4.256129e+02
200 4.256129e+02 -3.225290e+02
201 4.256129e+02 4.256129e+02
202 4.256129e+02 4.256129e+02
203 -6.557587e+02 4.256129e+02
204 5.411853e+01 -6.557587e+02
205 -7.201745e+01 5.411853e+01
206 3.396357e+02 -7.201745e+01
207 4.256129e+02 3.396357e+02
208 -1.590523e+03 4.256129e+02
209 4.556666e+02 -1.590523e+03
210 4.256129e+02 4.556666e+02
211 4.256129e+02 4.256129e+02
212 -6.292313e+02 4.256129e+02
213 1.230245e+02 -6.292313e+02
214 5.728642e+02 1.230245e+02
215 2.188221e+02 5.728642e+02
216 -1.805793e+02 2.188221e+02
217 7.653652e+01 -1.805793e+02
218 2.188221e+02 7.653652e+01
219 -7.435791e+02 2.188221e+02
220 5.668551e+02 -7.435791e+02
221 4.256129e+02 5.668551e+02
222 3.250672e+02 4.256129e+02
223 -1.145571e+03 3.250672e+02
224 3.419453e+02 -1.145571e+03
225 -1.555115e+03 3.419453e+02
226 -4.365484e+02 -1.555115e+03
227 4.256129e+02 -4.365484e+02
228 5.171134e+02 4.256129e+02
229 4.256129e+02 5.171134e+02
230 2.231932e+02 4.256129e+02
231 1.795512e+02 2.231932e+02
232 4.256129e+02 1.795512e+02
233 -4.253277e+02 4.256129e+02
234 4.256129e+02 -4.253277e+02
235 4.270577e+02 4.256129e+02
236 4.256129e+02 4.270577e+02
237 -1.518905e+02 4.256129e+02
238 4.256129e+02 -1.518905e+02
239 4.256129e+02 4.256129e+02
240 4.256129e+02 4.256129e+02
241 2.427915e+02 4.256129e+02
242 4.256129e+02 2.427915e+02
243 -2.921195e+02 4.256129e+02
244 2.678262e+03 -2.921195e+02
245 4.256129e+02 2.678262e+03
246 4.256129e+02 4.256129e+02
247 -9.183872e+02 4.256129e+02
248 4.256129e+02 -9.183872e+02
249 4.256129e+02 4.256129e+02
250 -2.644955e+02 4.256129e+02
251 4.256129e+02 -2.644955e+02
252 6.223636e+02 4.256129e+02
253 -2.569747e+03 6.223636e+02
254 -2.206108e+03 -2.569747e+03
255 4.256129e+02 -2.206108e+03
256 1.627109e+01 4.256129e+02
257 -1.973864e+03 1.627109e+01
258 4.256129e+02 -1.973864e+03
259 4.256129e+02 4.256129e+02
260 4.256129e+02 4.256129e+02
261 4.256129e+02 4.256129e+02
262 -7.367878e+02 4.256129e+02
263 -4.816273e+02 -7.367878e+02
264 4.256129e+02 -4.816273e+02
265 4.256129e+02 4.256129e+02
266 4.256129e+02 4.256129e+02
267 -6.098594e+02 4.256129e+02
268 4.256129e+02 -6.098594e+02
269 -2.109743e+03 4.256129e+02
270 4.256129e+02 -2.109743e+03
271 4.256129e+02 4.256129e+02
272 4.256129e+02 4.256129e+02
273 -1.366331e+03 4.256129e+02
274 4.256129e+02 -1.366331e+03
275 -5.444077e+02 4.256129e+02
276 -1.602230e+03 -5.444077e+02
277 4.256129e+02 -1.602230e+03
278 -9.220581e+02 4.256129e+02
279 -5.467651e+01 -9.220581e+02
280 4.256129e+02 -5.467651e+01
281 4.256129e+02 4.256129e+02
282 -2.066203e+03 4.256129e+02
283 4.256129e+02 -2.066203e+03
284 -1.388861e+02 4.256129e+02
285 4.256129e+02 -1.388861e+02
286 4.754603e+02 4.256129e+02
287 1.441942e+02 4.754603e+02
288 4.256129e+02 1.441942e+02
289 -5.787738e+02 4.256129e+02
290 4.256129e+02 -5.787738e+02
291 -7.006926e+02 4.256129e+02
292 -1.182706e+03 -7.006926e+02
293 4.256129e+02 -1.182706e+03
294 -4.606910e+02 4.256129e+02
295 -3.748129e+02 -4.606910e+02
296 4.256129e+02 -3.748129e+02
297 4.256129e+02 4.256129e+02
298 4.256129e+02 4.256129e+02
299 -5.049457e+02 4.256129e+02
300 6.316016e+01 -5.049457e+02
301 7.055370e+02 6.316016e+01
302 3.222175e+02 7.055370e+02
303 4.256129e+02 3.222175e+02
304 -8.961924e+02 4.256129e+02
305 -8.129961e+02 -8.961924e+02
306 4.256129e+02 -8.129961e+02
307 -1.283940e+03 4.256129e+02
308 -1.003526e+03 -1.283940e+03
309 4.256129e+02 -1.003526e+03
310 4.256129e+02 4.256129e+02
311 -2.336793e+03 4.256129e+02
312 4.256129e+02 -2.336793e+03
313 -9.734246e+02 4.256129e+02
314 -4.003007e+02 -9.734246e+02
315 2.185694e+01 -4.003007e+02
316 4.486071e+02 2.185694e+01
317 -1.103780e+03 4.486071e+02
318 -9.031008e+01 -1.103780e+03
319 4.256129e+02 -9.031008e+01
320 4.256129e+02 4.256129e+02
321 4.256129e+02 4.256129e+02
322 4.256129e+02 4.256129e+02
323 4.256129e+02 4.256129e+02
324 4.256129e+02 4.256129e+02
325 3.699330e+02 4.256129e+02
326 4.256129e+02 3.699330e+02
327 4.256129e+02 4.256129e+02
328 4.256129e+02 4.256129e+02
329 4.256129e+02 4.256129e+02
330 4.256129e+02 4.256129e+02
331 4.256129e+02 4.256129e+02
332 4.256129e+02 4.256129e+02
333 1.168389e+02 4.256129e+02
334 3.232677e+02 1.168389e+02
335 3.261116e+02 3.232677e+02
336 -6.230431e+02 3.261116e+02
337 4.256129e+02 -6.230431e+02
338 3.646600e+02 4.256129e+02
339 -5.211557e+02 3.646600e+02
340 -2.953794e+02 -5.211557e+02
341 4.256129e+02 -2.953794e+02
342 4.256129e+02 4.256129e+02
343 4.256129e+02 4.256129e+02
344 -2.339587e+02 4.256129e+02
345 4.256129e+02 -2.339587e+02
346 3.110211e+02 4.256129e+02
347 4.256129e+02 3.110211e+02
348 4.256129e+02 4.256129e+02
349 9.510645e+02 4.256129e+02
350 3.610234e+02 9.510645e+02
351 -2.192591e+02 3.610234e+02
352 -1.329647e+02 -2.192591e+02
353 4.910256e+02 -1.329647e+02
354 4.256129e+02 4.910256e+02
355 4.256129e+02 4.256129e+02
356 -3.599873e+02 4.256129e+02
357 4.256129e+02 -3.599873e+02
358 4.256129e+02 4.256129e+02
359 4.256129e+02 4.256129e+02
360 1.290543e+01 4.256129e+02
361 4.256129e+02 1.290543e+01
362 4.256129e+02 4.256129e+02
363 -6.283143e+02 4.256129e+02
364 -3.527732e+02 -6.283143e+02
365 4.256129e+02 -3.527732e+02
366 4.256129e+02 4.256129e+02
367 4.256129e+02 4.256129e+02
368 4.256129e+02 4.256129e+02
369 -8.169858e+01 4.256129e+02
370 4.256129e+02 -8.169858e+01
371 6.231531e+01 4.256129e+02
372 1.581195e+01 6.231531e+01
373 4.316527e+02 1.581195e+01
374 4.256129e+02 4.316527e+02
375 4.256129e+02 4.256129e+02
376 -4.910971e+02 4.256129e+02
377 2.418058e+02 -4.910971e+02
378 1.563648e+03 2.418058e+02
379 4.256129e+02 1.563648e+03
380 4.256129e+02 4.256129e+02
381 -7.016803e+02 4.256129e+02
382 -4.731015e+02 -7.016803e+02
383 4.256129e+02 -4.731015e+02
384 -7.201314e+02 4.256129e+02
385 7.285816e+02 -7.201314e+02
386 1.237071e+02 7.285816e+02
387 7.483456e+02 1.237071e+02
388 1.922723e+02 7.483456e+02
389 1.997467e+02 1.922723e+02
390 -2.387558e+02 1.997467e+02
391 4.384133e+02 -2.387558e+02
392 6.893772e+02 4.384133e+02
393 1.603085e+02 6.893772e+02
394 3.598731e+03 1.603085e+02
395 4.048085e+02 3.598731e+03
396 3.156979e+03 4.048085e+02
397 -2.289213e+04 3.156979e+03
398 4.561749e+02 -2.289213e+04
399 -1.621360e+03 4.561749e+02
400 1.444165e+03 -1.621360e+03
401 2.737006e+02 1.444165e+03
402 5.543884e+02 2.737006e+02
403 2.549781e+02 5.543884e+02
404 6.989033e+02 2.549781e+02
405 5.398027e+02 6.989033e+02
406 2.096736e+01 5.398027e+02
407 2.393617e+02 2.096736e+01
408 4.558431e+01 2.393617e+02
409 1.747562e+03 4.558431e+01
410 -3.952910e+03 1.747562e+03
411 5.970922e+03 -3.952910e+03
412 3.867466e+02 5.970922e+03
413 -5.064982e+02 3.867466e+02
414 2.871415e+03 -5.064982e+02
415 2.396648e+03 2.871415e+03
416 4.204533e+01 2.396648e+03
417 -2.578826e+02 4.204533e+01
418 -2.808991e+02 -2.578826e+02
419 1.687823e+03 -2.808991e+02
420 2.044902e+03 1.687823e+03
421 -3.509178e+03 2.044902e+03
422 7.172237e+03 -3.509178e+03
423 7.988975e+03 7.172237e+03
424 9.060725e+02 7.988975e+03
425 -1.941565e+03 9.060725e+02
426 4.521493e+03 -1.941565e+03
427 1.257998e+04 4.521493e+03
428 7.247252e+03 1.257998e+04
429 6.549244e+03 7.247252e+03
430 1.366157e+04 6.549244e+03
431 NA 1.366157e+04
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -5.106920e+04 2.894692e+04
[2,] 1.310643e+04 -5.106920e+04
[3,] 4.022619e+04 1.310643e+04
[4,] 1.317328e+04 4.022619e+04
[5,] 1.563856e+04 1.317328e+04
[6,] 5.705697e+03 1.563856e+04
[7,] 6.654402e+03 5.705697e+03
[8,] 8.587580e+03 6.654402e+03
[9,] -6.928696e+03 8.587580e+03
[10,] 1.195252e+04 -6.928696e+03
[11,] -5.704364e+03 1.195252e+04
[12,] -3.300428e+04 -5.704364e+03
[13,] 2.463621e+04 -3.300428e+04
[14,] -8.588906e+03 2.463621e+04
[15,] -4.683766e+03 -8.588906e+03
[16,] -1.932186e+03 -4.683766e+03
[17,] -8.925183e+03 -1.932186e+03
[18,] 7.389960e+03 -8.925183e+03
[19,] -1.046652e+04 7.389960e+03
[20,] 1.406486e+03 -1.046652e+04
[21,] 1.262081e+04 1.406486e+03
[22,] 1.469915e+03 1.262081e+04
[23,] -1.278850e+04 1.469915e+03
[24,] 4.187309e+02 -1.278850e+04
[25,] 8.101405e+03 4.187309e+02
[26,] 8.794954e+02 8.101405e+03
[27,] 5.227941e+03 8.794954e+02
[28,] 7.765397e+02 5.227941e+03
[29,] -8.292800e+02 7.765397e+02
[30,] -1.766174e+03 -8.292800e+02
[31,] 3.484866e+03 -1.766174e+03
[32,] -1.828464e+02 3.484866e+03
[33,] -1.198564e+03 -1.828464e+02
[34,] 2.657120e+03 -1.198564e+03
[35,] -2.664355e+03 2.657120e+03
[36,] 6.862752e+02 -2.664355e+03
[37,] -5.020128e+03 6.862752e+02
[38,] -5.613173e+03 -5.020128e+03
[39,] -7.755034e+03 -5.613173e+03
[40,] -1.063072e+04 -7.755034e+03
[41,] 8.702920e+03 -1.063072e+04
[42,] -5.339650e+03 8.702920e+03
[43,] -1.393799e+03 -5.339650e+03
[44,] 5.244980e+02 -1.393799e+03
[45,] 1.690748e+03 5.244980e+02
[46,] 2.358851e+03 1.690748e+03
[47,] -7.196577e+03 2.358851e+03
[48,] -9.787577e+02 -7.196577e+03
[49,] -1.784293e+02 -9.787577e+02
[50,] -6.817959e+03 -1.784293e+02
[51,] -1.001107e+04 -6.817959e+03
[52,] -1.661993e+03 -1.001107e+04
[53,] -5.357390e+03 -1.661993e+03
[54,] -4.309310e+03 -5.357390e+03
[55,] -5.949287e+03 -4.309310e+03
[56,] 3.611094e+02 -5.949287e+03
[57,] 2.387043e+02 3.611094e+02
[58,] -3.120623e+03 2.387043e+02
[59,] 7.825609e+02 -3.120623e+03
[60,] 5.404169e+02 7.825609e+02
[61,] 1.451091e+02 5.404169e+02
[62,] 6.684533e+02 1.451091e+02
[63,] -3.428489e+01 6.684533e+02
[64,] -2.867449e+03 -3.428489e+01
[65,] -1.212868e+04 -2.867449e+03
[66,] 5.867092e+02 -1.212868e+04
[67,] -2.110575e+03 5.867092e+02
[68,] -5.006678e+03 -2.110575e+03
[69,] -4.617115e+03 -5.006678e+03
[70,] -1.164665e+03 -4.617115e+03
[71,] 6.754499e+02 -1.164665e+03
[72,] -9.190005e+02 6.754499e+02
[73,] 2.791772e+02 -9.190005e+02
[74,] -8.104282e+02 2.791772e+02
[75,] 1.026007e+03 -8.104282e+02
[76,] -1.092054e+03 1.026007e+03
[77,] 1.030780e+03 -1.092054e+03
[78,] -3.492224e+03 1.030780e+03
[79,] 5.221564e+02 -3.492224e+03
[80,] -1.473887e+03 5.221564e+02
[81,] -2.200072e+03 -1.473887e+03
[82,] -1.085251e+03 -2.200072e+03
[83,] -5.573695e+02 -1.085251e+03
[84,] -4.359706e+02 -5.573695e+02
[85,] -1.226300e+03 -4.359706e+02
[86,] -7.034342e+03 -1.226300e+03
[87,] 2.607924e+01 -7.034342e+03
[88,] -1.270691e+03 2.607924e+01
[89,] -3.463990e+02 -1.270691e+03
[90,] -1.386142e+03 -3.463990e+02
[91,] -9.391039e+02 -1.386142e+03
[92,] -5.525623e+03 -9.391039e+02
[93,] 4.668803e+03 -5.525623e+03
[94,] -2.920440e+03 4.668803e+03
[95,] -1.761075e+02 -2.920440e+03
[96,] -3.395656e+02 -1.761075e+02
[97,] -4.059864e+02 -3.395656e+02
[98,] 1.444362e+03 -4.059864e+02
[99,] 1.072832e+03 1.444362e+03
[100,] -1.181124e+03 1.072832e+03
[101,] 6.701451e+02 -1.181124e+03
[102,] -9.213749e+02 6.701451e+02
[103,] 1.107648e+03 -9.213749e+02
[104,] -1.116078e+03 1.107648e+03
[105,] -1.230544e+03 -1.116078e+03
[106,] 3.344967e+02 -1.230544e+03
[107,] -2.819851e+02 3.344967e+02
[108,] 1.918069e+03 -2.819851e+02
[109,] 1.086564e+03 1.918069e+03
[110,] -1.621986e+03 1.086564e+03
[111,] 1.629884e+03 -1.621986e+03
[112,] 1.655608e+03 1.629884e+03
[113,] 1.940362e+03 1.655608e+03
[114,] 5.796129e+02 1.940362e+03
[115,] -2.016522e+03 5.796129e+02
[116,] 2.671847e+02 -2.016522e+03
[117,] 2.533866e+02 2.671847e+02
[118,] 2.711297e+03 2.533866e+02
[119,] -9.020219e+02 2.711297e+03
[120,] 1.820060e+03 -9.020219e+02
[121,] 3.296227e-01 1.820060e+03
[122,] -9.368362e+03 3.296227e-01
[123,] -1.158514e+03 -9.368362e+03
[124,] 1.016908e+03 -1.158514e+03
[125,] 2.480212e+03 1.016908e+03
[126,] 4.256129e+02 2.480212e+03
[127,] -5.055148e+02 4.256129e+02
[128,] -1.602746e+03 -5.055148e+02
[129,] 4.256129e+02 -1.602746e+03
[130,] -2.565545e+02 4.256129e+02
[131,] -1.172041e+03 -2.565545e+02
[132,] 3.222175e+02 -1.172041e+03
[133,] -1.573782e+03 3.222175e+02
[134,] 6.865223e+02 -1.573782e+03
[135,] 3.276064e+02 6.865223e+02
[136,] -5.208681e+02 3.276064e+02
[137,] 3.316166e+02 -5.208681e+02
[138,] 9.131984e+02 3.316166e+02
[139,] 4.256129e+02 9.131984e+02
[140,] -1.329631e+02 4.256129e+02
[141,] 4.256129e+02 -1.329631e+02
[142,] 3.713046e+02 4.256129e+02
[143,] 4.700327e+01 3.713046e+02
[144,] -7.482228e+02 4.700327e+01
[145,] -2.463302e+02 -7.482228e+02
[146,] 4.256129e+02 -2.463302e+02
[147,] -2.836501e+02 4.256129e+02
[148,] 4.017596e+02 -2.836501e+02
[149,] 4.403208e+02 4.017596e+02
[150,] 3.976271e+02 4.403208e+02
[151,] -2.485410e+03 3.976271e+02
[152,] -9.136409e+01 -2.485410e+03
[153,] 2.806277e+02 -9.136409e+01
[154,] 2.438142e+02 2.806277e+02
[155,] 4.256129e+02 2.438142e+02
[156,] 4.256129e+02 4.256129e+02
[157,] 3.314850e+02 4.256129e+02
[158,] 1.280201e+02 3.314850e+02
[159,] 4.256129e+02 1.280201e+02
[160,] 4.256129e+02 4.256129e+02
[161,] 4.256129e+02 4.256129e+02
[162,] 4.256129e+02 4.256129e+02
[163,] 2.680640e+02 4.256129e+02
[164,] -1.440006e+03 2.680640e+02
[165,] 3.736612e+02 -1.440006e+03
[166,] 4.256129e+02 3.736612e+02
[167,] -1.540466e+03 4.256129e+02
[168,] -8.398307e+02 -1.540466e+03
[169,] 4.256129e+02 -8.398307e+02
[170,] 4.256129e+02 4.256129e+02
[171,] 1.925743e+02 4.256129e+02
[172,] 4.256129e+02 1.925743e+02
[173,] -2.291726e+02 4.256129e+02
[174,] 4.256129e+02 -2.291726e+02
[175,] -2.730270e+02 4.256129e+02
[176,] -1.083921e+04 -2.730270e+02
[177,] 4.899444e+02 -1.083921e+04
[178,] 4.256129e+02 4.899444e+02
[179,] 4.256129e+02 4.256129e+02
[180,] -7.693573e+02 4.256129e+02
[181,] -1.220579e+02 -7.693573e+02
[182,] 2.258441e+02 -1.220579e+02
[183,] -4.966188e+02 2.258441e+02
[184,] -3.136088e+01 -4.966188e+02
[185,] -2.389170e+02 -3.136088e+01
[186,] 9.194398e+01 -2.389170e+02
[187,] -4.533803e+00 9.194398e+01
[188,] 4.324641e+02 -4.533803e+00
[189,] 4.256129e+02 4.324641e+02
[190,] -7.437756e+01 4.256129e+02
[191,] 4.256129e+02 -7.437756e+01
[192,] -1.412196e+02 4.256129e+02
[193,] 4.256129e+02 -1.412196e+02
[194,] 1.436319e+02 4.256129e+02
[195,] 4.256129e+02 1.436319e+02
[196,] -3.720324e+03 4.256129e+02
[197,] 4.256129e+02 -3.720324e+03
[198,] 4.256129e+02 4.256129e+02
[199,] -3.225290e+02 4.256129e+02
[200,] 4.256129e+02 -3.225290e+02
[201,] 4.256129e+02 4.256129e+02
[202,] 4.256129e+02 4.256129e+02
[203,] -6.557587e+02 4.256129e+02
[204,] 5.411853e+01 -6.557587e+02
[205,] -7.201745e+01 5.411853e+01
[206,] 3.396357e+02 -7.201745e+01
[207,] 4.256129e+02 3.396357e+02
[208,] -1.590523e+03 4.256129e+02
[209,] 4.556666e+02 -1.590523e+03
[210,] 4.256129e+02 4.556666e+02
[211,] 4.256129e+02 4.256129e+02
[212,] -6.292313e+02 4.256129e+02
[213,] 1.230245e+02 -6.292313e+02
[214,] 5.728642e+02 1.230245e+02
[215,] 2.188221e+02 5.728642e+02
[216,] -1.805793e+02 2.188221e+02
[217,] 7.653652e+01 -1.805793e+02
[218,] 2.188221e+02 7.653652e+01
[219,] -7.435791e+02 2.188221e+02
[220,] 5.668551e+02 -7.435791e+02
[221,] 4.256129e+02 5.668551e+02
[222,] 3.250672e+02 4.256129e+02
[223,] -1.145571e+03 3.250672e+02
[224,] 3.419453e+02 -1.145571e+03
[225,] -1.555115e+03 3.419453e+02
[226,] -4.365484e+02 -1.555115e+03
[227,] 4.256129e+02 -4.365484e+02
[228,] 5.171134e+02 4.256129e+02
[229,] 4.256129e+02 5.171134e+02
[230,] 2.231932e+02 4.256129e+02
[231,] 1.795512e+02 2.231932e+02
[232,] 4.256129e+02 1.795512e+02
[233,] -4.253277e+02 4.256129e+02
[234,] 4.256129e+02 -4.253277e+02
[235,] 4.270577e+02 4.256129e+02
[236,] 4.256129e+02 4.270577e+02
[237,] -1.518905e+02 4.256129e+02
[238,] 4.256129e+02 -1.518905e+02
[239,] 4.256129e+02 4.256129e+02
[240,] 4.256129e+02 4.256129e+02
[241,] 2.427915e+02 4.256129e+02
[242,] 4.256129e+02 2.427915e+02
[243,] -2.921195e+02 4.256129e+02
[244,] 2.678262e+03 -2.921195e+02
[245,] 4.256129e+02 2.678262e+03
[246,] 4.256129e+02 4.256129e+02
[247,] -9.183872e+02 4.256129e+02
[248,] 4.256129e+02 -9.183872e+02
[249,] 4.256129e+02 4.256129e+02
[250,] -2.644955e+02 4.256129e+02
[251,] 4.256129e+02 -2.644955e+02
[252,] 6.223636e+02 4.256129e+02
[253,] -2.569747e+03 6.223636e+02
[254,] -2.206108e+03 -2.569747e+03
[255,] 4.256129e+02 -2.206108e+03
[256,] 1.627109e+01 4.256129e+02
[257,] -1.973864e+03 1.627109e+01
[258,] 4.256129e+02 -1.973864e+03
[259,] 4.256129e+02 4.256129e+02
[260,] 4.256129e+02 4.256129e+02
[261,] 4.256129e+02 4.256129e+02
[262,] -7.367878e+02 4.256129e+02
[263,] -4.816273e+02 -7.367878e+02
[264,] 4.256129e+02 -4.816273e+02
[265,] 4.256129e+02 4.256129e+02
[266,] 4.256129e+02 4.256129e+02
[267,] -6.098594e+02 4.256129e+02
[268,] 4.256129e+02 -6.098594e+02
[269,] -2.109743e+03 4.256129e+02
[270,] 4.256129e+02 -2.109743e+03
[271,] 4.256129e+02 4.256129e+02
[272,] 4.256129e+02 4.256129e+02
[273,] -1.366331e+03 4.256129e+02
[274,] 4.256129e+02 -1.366331e+03
[275,] -5.444077e+02 4.256129e+02
[276,] -1.602230e+03 -5.444077e+02
[277,] 4.256129e+02 -1.602230e+03
[278,] -9.220581e+02 4.256129e+02
[279,] -5.467651e+01 -9.220581e+02
[280,] 4.256129e+02 -5.467651e+01
[281,] 4.256129e+02 4.256129e+02
[282,] -2.066203e+03 4.256129e+02
[283,] 4.256129e+02 -2.066203e+03
[284,] -1.388861e+02 4.256129e+02
[285,] 4.256129e+02 -1.388861e+02
[286,] 4.754603e+02 4.256129e+02
[287,] 1.441942e+02 4.754603e+02
[288,] 4.256129e+02 1.441942e+02
[289,] -5.787738e+02 4.256129e+02
[290,] 4.256129e+02 -5.787738e+02
[291,] -7.006926e+02 4.256129e+02
[292,] -1.182706e+03 -7.006926e+02
[293,] 4.256129e+02 -1.182706e+03
[294,] -4.606910e+02 4.256129e+02
[295,] -3.748129e+02 -4.606910e+02
[296,] 4.256129e+02 -3.748129e+02
[297,] 4.256129e+02 4.256129e+02
[298,] 4.256129e+02 4.256129e+02
[299,] -5.049457e+02 4.256129e+02
[300,] 6.316016e+01 -5.049457e+02
[301,] 7.055370e+02 6.316016e+01
[302,] 3.222175e+02 7.055370e+02
[303,] 4.256129e+02 3.222175e+02
[304,] -8.961924e+02 4.256129e+02
[305,] -8.129961e+02 -8.961924e+02
[306,] 4.256129e+02 -8.129961e+02
[307,] -1.283940e+03 4.256129e+02
[308,] -1.003526e+03 -1.283940e+03
[309,] 4.256129e+02 -1.003526e+03
[310,] 4.256129e+02 4.256129e+02
[311,] -2.336793e+03 4.256129e+02
[312,] 4.256129e+02 -2.336793e+03
[313,] -9.734246e+02 4.256129e+02
[314,] -4.003007e+02 -9.734246e+02
[315,] 2.185694e+01 -4.003007e+02
[316,] 4.486071e+02 2.185694e+01
[317,] -1.103780e+03 4.486071e+02
[318,] -9.031008e+01 -1.103780e+03
[319,] 4.256129e+02 -9.031008e+01
[320,] 4.256129e+02 4.256129e+02
[321,] 4.256129e+02 4.256129e+02
[322,] 4.256129e+02 4.256129e+02
[323,] 4.256129e+02 4.256129e+02
[324,] 4.256129e+02 4.256129e+02
[325,] 3.699330e+02 4.256129e+02
[326,] 4.256129e+02 3.699330e+02
[327,] 4.256129e+02 4.256129e+02
[328,] 4.256129e+02 4.256129e+02
[329,] 4.256129e+02 4.256129e+02
[330,] 4.256129e+02 4.256129e+02
[331,] 4.256129e+02 4.256129e+02
[332,] 4.256129e+02 4.256129e+02
[333,] 1.168389e+02 4.256129e+02
[334,] 3.232677e+02 1.168389e+02
[335,] 3.261116e+02 3.232677e+02
[336,] -6.230431e+02 3.261116e+02
[337,] 4.256129e+02 -6.230431e+02
[338,] 3.646600e+02 4.256129e+02
[339,] -5.211557e+02 3.646600e+02
[340,] -2.953794e+02 -5.211557e+02
[341,] 4.256129e+02 -2.953794e+02
[342,] 4.256129e+02 4.256129e+02
[343,] 4.256129e+02 4.256129e+02
[344,] -2.339587e+02 4.256129e+02
[345,] 4.256129e+02 -2.339587e+02
[346,] 3.110211e+02 4.256129e+02
[347,] 4.256129e+02 3.110211e+02
[348,] 4.256129e+02 4.256129e+02
[349,] 9.510645e+02 4.256129e+02
[350,] 3.610234e+02 9.510645e+02
[351,] -2.192591e+02 3.610234e+02
[352,] -1.329647e+02 -2.192591e+02
[353,] 4.910256e+02 -1.329647e+02
[354,] 4.256129e+02 4.910256e+02
[355,] 4.256129e+02 4.256129e+02
[356,] -3.599873e+02 4.256129e+02
[357,] 4.256129e+02 -3.599873e+02
[358,] 4.256129e+02 4.256129e+02
[359,] 4.256129e+02 4.256129e+02
[360,] 1.290543e+01 4.256129e+02
[361,] 4.256129e+02 1.290543e+01
[362,] 4.256129e+02 4.256129e+02
[363,] -6.283143e+02 4.256129e+02
[364,] -3.527732e+02 -6.283143e+02
[365,] 4.256129e+02 -3.527732e+02
[366,] 4.256129e+02 4.256129e+02
[367,] 4.256129e+02 4.256129e+02
[368,] 4.256129e+02 4.256129e+02
[369,] -8.169858e+01 4.256129e+02
[370,] 4.256129e+02 -8.169858e+01
[371,] 6.231531e+01 4.256129e+02
[372,] 1.581195e+01 6.231531e+01
[373,] 4.316527e+02 1.581195e+01
[374,] 4.256129e+02 4.316527e+02
[375,] 4.256129e+02 4.256129e+02
[376,] -4.910971e+02 4.256129e+02
[377,] 2.418058e+02 -4.910971e+02
[378,] 1.563648e+03 2.418058e+02
[379,] 4.256129e+02 1.563648e+03
[380,] 4.256129e+02 4.256129e+02
[381,] -7.016803e+02 4.256129e+02
[382,] -4.731015e+02 -7.016803e+02
[383,] 4.256129e+02 -4.731015e+02
[384,] -7.201314e+02 4.256129e+02
[385,] 7.285816e+02 -7.201314e+02
[386,] 1.237071e+02 7.285816e+02
[387,] 7.483456e+02 1.237071e+02
[388,] 1.922723e+02 7.483456e+02
[389,] 1.997467e+02 1.922723e+02
[390,] -2.387558e+02 1.997467e+02
[391,] 4.384133e+02 -2.387558e+02
[392,] 6.893772e+02 4.384133e+02
[393,] 1.603085e+02 6.893772e+02
[394,] 3.598731e+03 1.603085e+02
[395,] 4.048085e+02 3.598731e+03
[396,] 3.156979e+03 4.048085e+02
[397,] -2.289213e+04 3.156979e+03
[398,] 4.561749e+02 -2.289213e+04
[399,] -1.621360e+03 4.561749e+02
[400,] 1.444165e+03 -1.621360e+03
[401,] 2.737006e+02 1.444165e+03
[402,] 5.543884e+02 2.737006e+02
[403,] 2.549781e+02 5.543884e+02
[404,] 6.989033e+02 2.549781e+02
[405,] 5.398027e+02 6.989033e+02
[406,] 2.096736e+01 5.398027e+02
[407,] 2.393617e+02 2.096736e+01
[408,] 4.558431e+01 2.393617e+02
[409,] 1.747562e+03 4.558431e+01
[410,] -3.952910e+03 1.747562e+03
[411,] 5.970922e+03 -3.952910e+03
[412,] 3.867466e+02 5.970922e+03
[413,] -5.064982e+02 3.867466e+02
[414,] 2.871415e+03 -5.064982e+02
[415,] 2.396648e+03 2.871415e+03
[416,] 4.204533e+01 2.396648e+03
[417,] -2.578826e+02 4.204533e+01
[418,] -2.808991e+02 -2.578826e+02
[419,] 1.687823e+03 -2.808991e+02
[420,] 2.044902e+03 1.687823e+03
[421,] -3.509178e+03 2.044902e+03
[422,] 7.172237e+03 -3.509178e+03
[423,] 7.988975e+03 7.172237e+03
[424,] 9.060725e+02 7.988975e+03
[425,] -1.941565e+03 9.060725e+02
[426,] 4.521493e+03 -1.941565e+03
[427,] 1.257998e+04 4.521493e+03
[428,] 7.247252e+03 1.257998e+04
[429,] 6.549244e+03 7.247252e+03
[430,] 1.366157e+04 6.549244e+03
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -5.106920e+04 2.894692e+04
2 1.310643e+04 -5.106920e+04
3 4.022619e+04 1.310643e+04
4 1.317328e+04 4.022619e+04
5 1.563856e+04 1.317328e+04
6 5.705697e+03 1.563856e+04
7 6.654402e+03 5.705697e+03
8 8.587580e+03 6.654402e+03
9 -6.928696e+03 8.587580e+03
10 1.195252e+04 -6.928696e+03
11 -5.704364e+03 1.195252e+04
12 -3.300428e+04 -5.704364e+03
13 2.463621e+04 -3.300428e+04
14 -8.588906e+03 2.463621e+04
15 -4.683766e+03 -8.588906e+03
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17 -8.925183e+03 -1.932186e+03
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19 -1.046652e+04 7.389960e+03
20 1.406486e+03 -1.046652e+04
21 1.262081e+04 1.406486e+03
22 1.469915e+03 1.262081e+04
23 -1.278850e+04 1.469915e+03
24 4.187309e+02 -1.278850e+04
25 8.101405e+03 4.187309e+02
26 8.794954e+02 8.101405e+03
27 5.227941e+03 8.794954e+02
28 7.765397e+02 5.227941e+03
29 -8.292800e+02 7.765397e+02
30 -1.766174e+03 -8.292800e+02
31 3.484866e+03 -1.766174e+03
32 -1.828464e+02 3.484866e+03
33 -1.198564e+03 -1.828464e+02
34 2.657120e+03 -1.198564e+03
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36 6.862752e+02 -2.664355e+03
37 -5.020128e+03 6.862752e+02
38 -5.613173e+03 -5.020128e+03
39 -7.755034e+03 -5.613173e+03
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43 -1.393799e+03 -5.339650e+03
44 5.244980e+02 -1.393799e+03
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46 2.358851e+03 1.690748e+03
47 -7.196577e+03 2.358851e+03
48 -9.787577e+02 -7.196577e+03
49 -1.784293e+02 -9.787577e+02
50 -6.817959e+03 -1.784293e+02
51 -1.001107e+04 -6.817959e+03
52 -1.661993e+03 -1.001107e+04
53 -5.357390e+03 -1.661993e+03
54 -4.309310e+03 -5.357390e+03
55 -5.949287e+03 -4.309310e+03
56 3.611094e+02 -5.949287e+03
57 2.387043e+02 3.611094e+02
58 -3.120623e+03 2.387043e+02
59 7.825609e+02 -3.120623e+03
60 5.404169e+02 7.825609e+02
61 1.451091e+02 5.404169e+02
62 6.684533e+02 1.451091e+02
63 -3.428489e+01 6.684533e+02
64 -2.867449e+03 -3.428489e+01
65 -1.212868e+04 -2.867449e+03
66 5.867092e+02 -1.212868e+04
67 -2.110575e+03 5.867092e+02
68 -5.006678e+03 -2.110575e+03
69 -4.617115e+03 -5.006678e+03
70 -1.164665e+03 -4.617115e+03
71 6.754499e+02 -1.164665e+03
72 -9.190005e+02 6.754499e+02
73 2.791772e+02 -9.190005e+02
74 -8.104282e+02 2.791772e+02
75 1.026007e+03 -8.104282e+02
76 -1.092054e+03 1.026007e+03
77 1.030780e+03 -1.092054e+03
78 -3.492224e+03 1.030780e+03
79 5.221564e+02 -3.492224e+03
80 -1.473887e+03 5.221564e+02
81 -2.200072e+03 -1.473887e+03
82 -1.085251e+03 -2.200072e+03
83 -5.573695e+02 -1.085251e+03
84 -4.359706e+02 -5.573695e+02
85 -1.226300e+03 -4.359706e+02
86 -7.034342e+03 -1.226300e+03
87 2.607924e+01 -7.034342e+03
88 -1.270691e+03 2.607924e+01
89 -3.463990e+02 -1.270691e+03
90 -1.386142e+03 -3.463990e+02
91 -9.391039e+02 -1.386142e+03
92 -5.525623e+03 -9.391039e+02
93 4.668803e+03 -5.525623e+03
94 -2.920440e+03 4.668803e+03
95 -1.761075e+02 -2.920440e+03
96 -3.395656e+02 -1.761075e+02
97 -4.059864e+02 -3.395656e+02
98 1.444362e+03 -4.059864e+02
99 1.072832e+03 1.444362e+03
100 -1.181124e+03 1.072832e+03
101 6.701451e+02 -1.181124e+03
102 -9.213749e+02 6.701451e+02
103 1.107648e+03 -9.213749e+02
104 -1.116078e+03 1.107648e+03
105 -1.230544e+03 -1.116078e+03
106 3.344967e+02 -1.230544e+03
107 -2.819851e+02 3.344967e+02
108 1.918069e+03 -2.819851e+02
109 1.086564e+03 1.918069e+03
110 -1.621986e+03 1.086564e+03
111 1.629884e+03 -1.621986e+03
112 1.655608e+03 1.629884e+03
113 1.940362e+03 1.655608e+03
114 5.796129e+02 1.940362e+03
115 -2.016522e+03 5.796129e+02
116 2.671847e+02 -2.016522e+03
117 2.533866e+02 2.671847e+02
118 2.711297e+03 2.533866e+02
119 -9.020219e+02 2.711297e+03
120 1.820060e+03 -9.020219e+02
121 3.296227e-01 1.820060e+03
122 -9.368362e+03 3.296227e-01
123 -1.158514e+03 -9.368362e+03
124 1.016908e+03 -1.158514e+03
125 2.480212e+03 1.016908e+03
126 4.256129e+02 2.480212e+03
127 -5.055148e+02 4.256129e+02
128 -1.602746e+03 -5.055148e+02
129 4.256129e+02 -1.602746e+03
130 -2.565545e+02 4.256129e+02
131 -1.172041e+03 -2.565545e+02
132 3.222175e+02 -1.172041e+03
133 -1.573782e+03 3.222175e+02
134 6.865223e+02 -1.573782e+03
135 3.276064e+02 6.865223e+02
136 -5.208681e+02 3.276064e+02
137 3.316166e+02 -5.208681e+02
138 9.131984e+02 3.316166e+02
139 4.256129e+02 9.131984e+02
140 -1.329631e+02 4.256129e+02
141 4.256129e+02 -1.329631e+02
142 3.713046e+02 4.256129e+02
143 4.700327e+01 3.713046e+02
144 -7.482228e+02 4.700327e+01
145 -2.463302e+02 -7.482228e+02
146 4.256129e+02 -2.463302e+02
147 -2.836501e+02 4.256129e+02
148 4.017596e+02 -2.836501e+02
149 4.403208e+02 4.017596e+02
150 3.976271e+02 4.403208e+02
151 -2.485410e+03 3.976271e+02
152 -9.136409e+01 -2.485410e+03
153 2.806277e+02 -9.136409e+01
154 2.438142e+02 2.806277e+02
155 4.256129e+02 2.438142e+02
156 4.256129e+02 4.256129e+02
157 3.314850e+02 4.256129e+02
158 1.280201e+02 3.314850e+02
159 4.256129e+02 1.280201e+02
160 4.256129e+02 4.256129e+02
161 4.256129e+02 4.256129e+02
162 4.256129e+02 4.256129e+02
163 2.680640e+02 4.256129e+02
164 -1.440006e+03 2.680640e+02
165 3.736612e+02 -1.440006e+03
166 4.256129e+02 3.736612e+02
167 -1.540466e+03 4.256129e+02
168 -8.398307e+02 -1.540466e+03
169 4.256129e+02 -8.398307e+02
170 4.256129e+02 4.256129e+02
171 1.925743e+02 4.256129e+02
172 4.256129e+02 1.925743e+02
173 -2.291726e+02 4.256129e+02
174 4.256129e+02 -2.291726e+02
175 -2.730270e+02 4.256129e+02
176 -1.083921e+04 -2.730270e+02
177 4.899444e+02 -1.083921e+04
178 4.256129e+02 4.899444e+02
179 4.256129e+02 4.256129e+02
180 -7.693573e+02 4.256129e+02
181 -1.220579e+02 -7.693573e+02
182 2.258441e+02 -1.220579e+02
183 -4.966188e+02 2.258441e+02
184 -3.136088e+01 -4.966188e+02
185 -2.389170e+02 -3.136088e+01
186 9.194398e+01 -2.389170e+02
187 -4.533803e+00 9.194398e+01
188 4.324641e+02 -4.533803e+00
189 4.256129e+02 4.324641e+02
190 -7.437756e+01 4.256129e+02
191 4.256129e+02 -7.437756e+01
192 -1.412196e+02 4.256129e+02
193 4.256129e+02 -1.412196e+02
194 1.436319e+02 4.256129e+02
195 4.256129e+02 1.436319e+02
196 -3.720324e+03 4.256129e+02
197 4.256129e+02 -3.720324e+03
198 4.256129e+02 4.256129e+02
199 -3.225290e+02 4.256129e+02
200 4.256129e+02 -3.225290e+02
201 4.256129e+02 4.256129e+02
202 4.256129e+02 4.256129e+02
203 -6.557587e+02 4.256129e+02
204 5.411853e+01 -6.557587e+02
205 -7.201745e+01 5.411853e+01
206 3.396357e+02 -7.201745e+01
207 4.256129e+02 3.396357e+02
208 -1.590523e+03 4.256129e+02
209 4.556666e+02 -1.590523e+03
210 4.256129e+02 4.556666e+02
211 4.256129e+02 4.256129e+02
212 -6.292313e+02 4.256129e+02
213 1.230245e+02 -6.292313e+02
214 5.728642e+02 1.230245e+02
215 2.188221e+02 5.728642e+02
216 -1.805793e+02 2.188221e+02
217 7.653652e+01 -1.805793e+02
218 2.188221e+02 7.653652e+01
219 -7.435791e+02 2.188221e+02
220 5.668551e+02 -7.435791e+02
221 4.256129e+02 5.668551e+02
222 3.250672e+02 4.256129e+02
223 -1.145571e+03 3.250672e+02
224 3.419453e+02 -1.145571e+03
225 -1.555115e+03 3.419453e+02
226 -4.365484e+02 -1.555115e+03
227 4.256129e+02 -4.365484e+02
228 5.171134e+02 4.256129e+02
229 4.256129e+02 5.171134e+02
230 2.231932e+02 4.256129e+02
231 1.795512e+02 2.231932e+02
232 4.256129e+02 1.795512e+02
233 -4.253277e+02 4.256129e+02
234 4.256129e+02 -4.253277e+02
235 4.270577e+02 4.256129e+02
236 4.256129e+02 4.270577e+02
237 -1.518905e+02 4.256129e+02
238 4.256129e+02 -1.518905e+02
239 4.256129e+02 4.256129e+02
240 4.256129e+02 4.256129e+02
241 2.427915e+02 4.256129e+02
242 4.256129e+02 2.427915e+02
243 -2.921195e+02 4.256129e+02
244 2.678262e+03 -2.921195e+02
245 4.256129e+02 2.678262e+03
246 4.256129e+02 4.256129e+02
247 -9.183872e+02 4.256129e+02
248 4.256129e+02 -9.183872e+02
249 4.256129e+02 4.256129e+02
250 -2.644955e+02 4.256129e+02
251 4.256129e+02 -2.644955e+02
252 6.223636e+02 4.256129e+02
253 -2.569747e+03 6.223636e+02
254 -2.206108e+03 -2.569747e+03
255 4.256129e+02 -2.206108e+03
256 1.627109e+01 4.256129e+02
257 -1.973864e+03 1.627109e+01
258 4.256129e+02 -1.973864e+03
259 4.256129e+02 4.256129e+02
260 4.256129e+02 4.256129e+02
261 4.256129e+02 4.256129e+02
262 -7.367878e+02 4.256129e+02
263 -4.816273e+02 -7.367878e+02
264 4.256129e+02 -4.816273e+02
265 4.256129e+02 4.256129e+02
266 4.256129e+02 4.256129e+02
267 -6.098594e+02 4.256129e+02
268 4.256129e+02 -6.098594e+02
269 -2.109743e+03 4.256129e+02
270 4.256129e+02 -2.109743e+03
271 4.256129e+02 4.256129e+02
272 4.256129e+02 4.256129e+02
273 -1.366331e+03 4.256129e+02
274 4.256129e+02 -1.366331e+03
275 -5.444077e+02 4.256129e+02
276 -1.602230e+03 -5.444077e+02
277 4.256129e+02 -1.602230e+03
278 -9.220581e+02 4.256129e+02
279 -5.467651e+01 -9.220581e+02
280 4.256129e+02 -5.467651e+01
281 4.256129e+02 4.256129e+02
282 -2.066203e+03 4.256129e+02
283 4.256129e+02 -2.066203e+03
284 -1.388861e+02 4.256129e+02
285 4.256129e+02 -1.388861e+02
286 4.754603e+02 4.256129e+02
287 1.441942e+02 4.754603e+02
288 4.256129e+02 1.441942e+02
289 -5.787738e+02 4.256129e+02
290 4.256129e+02 -5.787738e+02
291 -7.006926e+02 4.256129e+02
292 -1.182706e+03 -7.006926e+02
293 4.256129e+02 -1.182706e+03
294 -4.606910e+02 4.256129e+02
295 -3.748129e+02 -4.606910e+02
296 4.256129e+02 -3.748129e+02
297 4.256129e+02 4.256129e+02
298 4.256129e+02 4.256129e+02
299 -5.049457e+02 4.256129e+02
300 6.316016e+01 -5.049457e+02
301 7.055370e+02 6.316016e+01
302 3.222175e+02 7.055370e+02
303 4.256129e+02 3.222175e+02
304 -8.961924e+02 4.256129e+02
305 -8.129961e+02 -8.961924e+02
306 4.256129e+02 -8.129961e+02
307 -1.283940e+03 4.256129e+02
308 -1.003526e+03 -1.283940e+03
309 4.256129e+02 -1.003526e+03
310 4.256129e+02 4.256129e+02
311 -2.336793e+03 4.256129e+02
312 4.256129e+02 -2.336793e+03
313 -9.734246e+02 4.256129e+02
314 -4.003007e+02 -9.734246e+02
315 2.185694e+01 -4.003007e+02
316 4.486071e+02 2.185694e+01
317 -1.103780e+03 4.486071e+02
318 -9.031008e+01 -1.103780e+03
319 4.256129e+02 -9.031008e+01
320 4.256129e+02 4.256129e+02
321 4.256129e+02 4.256129e+02
322 4.256129e+02 4.256129e+02
323 4.256129e+02 4.256129e+02
324 4.256129e+02 4.256129e+02
325 3.699330e+02 4.256129e+02
326 4.256129e+02 3.699330e+02
327 4.256129e+02 4.256129e+02
328 4.256129e+02 4.256129e+02
329 4.256129e+02 4.256129e+02
330 4.256129e+02 4.256129e+02
331 4.256129e+02 4.256129e+02
332 4.256129e+02 4.256129e+02
333 1.168389e+02 4.256129e+02
334 3.232677e+02 1.168389e+02
335 3.261116e+02 3.232677e+02
336 -6.230431e+02 3.261116e+02
337 4.256129e+02 -6.230431e+02
338 3.646600e+02 4.256129e+02
339 -5.211557e+02 3.646600e+02
340 -2.953794e+02 -5.211557e+02
341 4.256129e+02 -2.953794e+02
342 4.256129e+02 4.256129e+02
343 4.256129e+02 4.256129e+02
344 -2.339587e+02 4.256129e+02
345 4.256129e+02 -2.339587e+02
346 3.110211e+02 4.256129e+02
347 4.256129e+02 3.110211e+02
348 4.256129e+02 4.256129e+02
349 9.510645e+02 4.256129e+02
350 3.610234e+02 9.510645e+02
351 -2.192591e+02 3.610234e+02
352 -1.329647e+02 -2.192591e+02
353 4.910256e+02 -1.329647e+02
354 4.256129e+02 4.910256e+02
355 4.256129e+02 4.256129e+02
356 -3.599873e+02 4.256129e+02
357 4.256129e+02 -3.599873e+02
358 4.256129e+02 4.256129e+02
359 4.256129e+02 4.256129e+02
360 1.290543e+01 4.256129e+02
361 4.256129e+02 1.290543e+01
362 4.256129e+02 4.256129e+02
363 -6.283143e+02 4.256129e+02
364 -3.527732e+02 -6.283143e+02
365 4.256129e+02 -3.527732e+02
366 4.256129e+02 4.256129e+02
367 4.256129e+02 4.256129e+02
368 4.256129e+02 4.256129e+02
369 -8.169858e+01 4.256129e+02
370 4.256129e+02 -8.169858e+01
371 6.231531e+01 4.256129e+02
372 1.581195e+01 6.231531e+01
373 4.316527e+02 1.581195e+01
374 4.256129e+02 4.316527e+02
375 4.256129e+02 4.256129e+02
376 -4.910971e+02 4.256129e+02
377 2.418058e+02 -4.910971e+02
378 1.563648e+03 2.418058e+02
379 4.256129e+02 1.563648e+03
380 4.256129e+02 4.256129e+02
381 -7.016803e+02 4.256129e+02
382 -4.731015e+02 -7.016803e+02
383 4.256129e+02 -4.731015e+02
384 -7.201314e+02 4.256129e+02
385 7.285816e+02 -7.201314e+02
386 1.237071e+02 7.285816e+02
387 7.483456e+02 1.237071e+02
388 1.922723e+02 7.483456e+02
389 1.997467e+02 1.922723e+02
390 -2.387558e+02 1.997467e+02
391 4.384133e+02 -2.387558e+02
392 6.893772e+02 4.384133e+02
393 1.603085e+02 6.893772e+02
394 3.598731e+03 1.603085e+02
395 4.048085e+02 3.598731e+03
396 3.156979e+03 4.048085e+02
397 -2.289213e+04 3.156979e+03
398 4.561749e+02 -2.289213e+04
399 -1.621360e+03 4.561749e+02
400 1.444165e+03 -1.621360e+03
401 2.737006e+02 1.444165e+03
402 5.543884e+02 2.737006e+02
403 2.549781e+02 5.543884e+02
404 6.989033e+02 2.549781e+02
405 5.398027e+02 6.989033e+02
406 2.096736e+01 5.398027e+02
407 2.393617e+02 2.096736e+01
408 4.558431e+01 2.393617e+02
409 1.747562e+03 4.558431e+01
410 -3.952910e+03 1.747562e+03
411 5.970922e+03 -3.952910e+03
412 3.867466e+02 5.970922e+03
413 -5.064982e+02 3.867466e+02
414 2.871415e+03 -5.064982e+02
415 2.396648e+03 2.871415e+03
416 4.204533e+01 2.396648e+03
417 -2.578826e+02 4.204533e+01
418 -2.808991e+02 -2.578826e+02
419 1.687823e+03 -2.808991e+02
420 2.044902e+03 1.687823e+03
421 -3.509178e+03 2.044902e+03
422 7.172237e+03 -3.509178e+03
423 7.988975e+03 7.172237e+03
424 9.060725e+02 7.988975e+03
425 -1.941565e+03 9.060725e+02
426 4.521493e+03 -1.941565e+03
427 1.257998e+04 4.521493e+03
428 7.247252e+03 1.257998e+04
429 6.549244e+03 7.247252e+03
430 1.366157e+04 6.549244e+03
> 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/706831292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/8tfpo1292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/9tfpo1292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/www/html/rcomp/tmp/10tfpo1292938441.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$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/116p5f1292938441.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/12apml1292938441.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/13h9m61292938442.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/14r03r1292938442.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/15uj2f1292938442.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/16rth61292938442.tab")
+ }
>
> try(system("convert tmp/1e5sx1292938441.ps tmp/1e5sx1292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/2e5sx1292938441.ps tmp/2e5sx1292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/3e5sx1292938441.ps tmp/3e5sx1292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/47fr01292938441.ps tmp/47fr01292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/57fr01292938441.ps tmp/57fr01292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/67fr01292938441.ps tmp/67fr01292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/706831292938441.ps tmp/706831292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/8tfpo1292938441.ps tmp/8tfpo1292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/9tfpo1292938441.ps tmp/9tfpo1292938441.png",intern=TRUE))
character(0)
> try(system("convert tmp/10tfpo1292938441.ps tmp/10tfpo1292938441.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
11.658 2.172 23.914