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(1
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+ ,-58143
+ ,0
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+ ,227033
+ ,1
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+ ,0
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+ ,0
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+ ,0
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+ ,0
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+ ,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 62920 279268
126 1 3294 23 75832 219060
127 0 0 0 60720 325560
128 0 94 7 60793 325314
129 0 422 28 57935 322046
130 0 0 0 60720 325560
131 0 34 8 60630 325599
132 0 1558 63 55637 377028
133 0 0 0 60720 325560
134 0 43 3 60887 323850
135 0 0 0 60720 325560
136 0 316 9 60505 331514
137 0 115 13 60945 325632
138 0 0 0 60720 325560
139 0 0 0 60720 325560
140 0 0 0 60720 325560
141 0 389 14 58990 322265
142 0 0 0 60720 325560
143 0 1002 15 56750 325906
144 0 36 3 60894 325985
145 0 460 15 63346 346145
146 0 309 11 56535 325898
147 0 0 0 60720 325560
148 0 9 6 60835 325356
149 0 0 0 60720 325560
150 0 14 1 61016 325930
151 0 520 10 58650 318020
152 0 1766 73 60438 326389
153 0 0 0 60720 325560
154 0 458 11 58625 302925
155 0 20 3 60938 325540
156 0 0 0 60720 325560
157 0 0 0 60720 325560
158 0 98 2 61490 326736
159 0 405 7 60845 340580
160 0 0 0 60720 325560
161 0 0 0 60720 325560
162 0 0 0 60720 325560
163 0 0 0 60720 325560
164 0 483 27 60830 331828
165 0 454 51 63261 323299
166 0 0 0 60720 325560
167 0 0 0 60720 325560
168 0 757 19 45689 387722
169 0 0 0 60720 325560
170 0 0 0 60720 325560
171 0 0 0 60720 325560
172 0 36 4 61564 324598
173 0 0 0 60720 325560
174 0 203 9 61938 328726
175 0 0 0 60720 325560
176 0 90 8 60951 325043
177 0 0 0 60720 325560
178 1 71 1 60745 325806
179 0 0 0 60720 325560
180 0 0 0 60720 325560
181 0 972 34 71642 387732
182 1 531 10 71641 349729
183 0 604 38 55792 332202
184 1 283 10 71873 305442
185 1 23 5 62555 329537
186 1 638 14 60370 327055
187 1 699 16 64873 356245
188 0 149 5 62041 328451
189 0 226 5 65745 307062
190 0 0 0 60720 325560
191 0 275 4 59500 331345
192 0 0 0 60720 325560
193 0 141 6 61630 331824
194 0 0 0 60720 325560
195 0 28 2 60890 325685
196 1 0 0 60720 325560
197 1 2566 80 113521 404480
198 1 0 0 60720 325560
199 1 0 0 60720 325560
200 1 472 20 80045 318314
201 1 0 0 60720 325560
202 1 0 0 60720 325560
203 1 0 0 60720 325560
204 1 203 27 50804 311807
205 1 496 17 87390 337724
206 1 10 2 61656 326431
207 1 63 4 65688 327556
208 1 0 0 60720 325560
209 1 1136 32 48522 356850
210 1 0 0 60720 325560
211 0 0 0 60720 325560
212 0 0 0 60720 325560
213 0 267 32 57640 322741
214 0 474 20 61977 310902
215 0 534 7 62620 324295
216 0 0 0 60720 325560
217 0 15 8 60831 326156
218 0 397 28 60646 326960
219 0 0 0 60720 325560
220 0 1061 20 56225 333411
221 0 288 4 60510 297761
222 0 0 0 60720 325560
223 0 3 2 60698 325536
224 0 0 0 60720 325560
225 0 20 2 60805 325762
226 0 278 26 61404 327957
227 0 0 0 60720 325560
228 0 0 0 60720 325560
229 0 192 4 65276 318521
230 0 0 0 60720 325560
231 0 317 9 63915 319775
232 0 0 0 60720 325560
233 0 0 0 60720 325560
234 0 368 17 61686 332128
235 0 0 0 60720 325560
236 0 2 1 60743 325486
237 0 0 0 60720 325560
238 0 53 6 60349 325838
239 0 0 0 60720 325560
240 0 0 0 60720 325560
241 0 0 0 60720 325560
242 0 94 3 61360 331767
243 0 0 0 60720 325560
244 0 24 8 59818 324523
245 0 2332 4 72680 339995
246 1 0 0 60720 325560
247 1 0 0 60720 325560
248 0 131 11 61808 319582
249 1 0 0 60720 325560
250 1 0 0 60720 325560
251 0 206 9 53110 307245
252 1 0 0 60720 325560
253 0 167 2 64245 317967
254 0 622 73 73007 331488
255 0 885 85 82732 335452
256 0 0 0 60720 325560
257 0 365 8 54820 334184
258 0 364 35 47705 313213
259 1 0 0 60720 325560
260 0 0 0 60720 325560
261 1 0 0 60720 325560
262 1 0 0 60720 325560
263 0 226 12 72835 348678
264 0 307 15 58856 328727
265 1 0 0 60720 325560
266 0 0 0 60720 325560
267 1 0 0 60720 325560
268 0 188 11 77655 387978
269 1 0 0 60720 325560
270 0 138 6 69817 336704
271 1 0 0 60720 325560
272 1 0 0 60720 325560
273 1 0 0 60720 325560
274 0 125 12 60798 322076
275 0 0 0 60720 325560
276 0 282 30 62452 334272
277 0 335 33 64175 338197
278 0 0 0 60720 325560
279 1 813 82 67440 321024
280 0 176 28 68136 322145
281 1 0 0 60720 325560
282 0 0 0 60720 325560
283 0 249 72 56726 323351
284 0 0 0 60720 325560
285 0 333 13 70811 327748
286 0 0 0 60720 325560
287 1 0 0 60720 325560
288 0 30 4 62045 328157
289 1 0 0 60720 325560
290 0 249 62 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 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
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 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
> 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