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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Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> x <- array(list(1.3866
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+ ,38.2885
+ ,1.2255
+ ,110.79
+ ,37.795
+ ,1.2384
+ ,113.06
+ ,37.92
+ ,1.2307
+ ,112.62
+ ,38.034
+ ,1.2155
+ ,110.65
+ ,38.029
+ ,1.2218
+ ,112.36
+ ,38.063
+ ,1.2268
+ ,113.74
+ ,37.9828
+ ,1.206
+ ,111.73
+ ,37.745
+ ,1.1959
+ ,109.86
+ ,37.969
+ ,1.1942
+ ,109.32
+ ,38.007
+ ,1.201
+ ,109.99
+ ,38.0615
+ ,1.2045
+ ,109.84
+ ,38.0912
+ ,1.2127
+ ,111.13
+ ,38.091
+ ,1.2249
+ ,112.43
+ ,38.431
+ ,1.2258
+ ,111.77
+ ,38.48
+ ,1.2277
+ ,112.15
+ ,38.35
+ ,1.2363
+ ,112.89
+ ,38.214
+ ,1.2372
+ ,112.12
+ ,38.384
+ ,1.2391
+ ,113.1
+ ,38.1375
+ ,1.2258
+ ,111.09
+ ,38.0075
+ ,1.2271
+ ,110.76
+ ,38.0524
+ ,1.2262
+ ,109.59
+ ,38.235
+ ,1.2294
+ ,109.99
+ ,38.31
+ ,1.2339
+ ,110.25
+ ,38.2615
+ ,1.2198
+ ,108.31
+ ,38.13
+ ,1.2271
+ ,108.79
+ ,38.282
+ ,1.2328
+ ,108.14
+ ,38.581
+ ,1.2548
+ ,109.88
+ ,39.0801
+ ,1.2531
+ ,109.93
+ ,39.0387
+ ,1.2579
+ ,110.46
+ ,39.1015
+ ,1.2567
+ ,109.56
+ ,39.1503
+ ,1.266
+ ,111.49
+ ,39.14
+ ,1.2637
+ ,111.85
+ ,39.0275
+ ,1.2572
+ ,111.35
+ ,38.7665
+ ,1.2569
+ ,110.95
+ ,38.691
+ ,1.2703
+ ,112.49
+ ,38.849
+ ,1.2828
+ ,113.11
+ ,39.1644
+ ,1.3
+ ,112.54
+ ,39.4907
+ ,1.2957
+ ,112.84
+ ,39.5095
+ ,1.2844
+ ,111.5
+ ,39.2795
+ ,1.2817
+ ,111.52
+ ,39.0437
+ ,1.285
+ ,111.57
+ ,39.1355
+ ,1.2897
+ ,112.48
+ ,39.143
+ ,1.2931
+ ,112.31
+ ,39.185
+ ,1.3033
+ ,113.79
+ ,39.355
+ ,1.2992
+ ,114.01
+ ,39.297
+ ,1.3069
+ ,113.64
+ ,39.4514
+ ,1.3028
+ ,112.62
+ ,39.4173
+ ,1.3073
+ ,113.27
+ ,39.4305
+ ,1.3221
+ ,113.51
+ ,39.384
+ ,1.3206
+ ,112.92
+ ,39.3261
+ ,1.3184
+ ,113.66
+ ,39.301
+ ,1.3176
+ ,113.14
+ ,39.35
+ ,1.3253
+ ,113.48
+ ,39.64
+ ,1.3133
+ ,113.23
+ ,39.4723
+ ,1.3016
+ ,110.56
+ ,39.3685
+ ,1.279
+ ,109.5
+ ,39.1906
+ ,1.2799
+ ,109.78
+ ,39.1183
+ ,1.282
+ ,109.49
+ ,39.1325
+ ,1.286
+ ,109.66
+ ,39.1144
+ ,1.288
+ ,109.93
+ ,39.1614
+ ,1.2836
+ ,109.82
+ ,39.0908
+ ,1.2711
+ ,108.54
+ ,38.9199
+ ,1.2704
+ ,108.23
+ ,38.913
+ ,1.2611
+ ,106.19
+ ,38.9655
+ ,1.2613
+ ,106.49
+ ,39.029
+ ,1.2693
+ ,107.15
+ ,39.089
+ ,1.2713
+ ,107.74
+ ,39.07
+ ,1.27
+ ,107.54
+ ,39.0046
+ ,1.268
+ ,107.07
+ ,39.1038
+ ,1.28
+ ,107.54
+ ,39.3572
+ ,1.2818
+ ,107.81
+ ,39.388
+ ,1.2834
+ ,108.38
+ ,39.382
+ ,1.2874
+ ,108.42
+ ,39.4398
+ ,1.2744
+ ,106.86
+ ,39.2537
+ ,1.2697
+ ,106.41
+ ,39.2301
+ ,1.2715
+ ,106.46
+ ,39.2763
+ ,1.2725
+ ,106.84
+ ,39.282
+ ,1.2801
+ ,107.69
+ ,39.3325
+ ,1.285
+ ,107.04
+ ,39.557
+ ,1.2989
+ ,111.04
+ ,40.1
+ ,1.3078
+ ,111.93
+ ,40.5875
+ ,1.306
+ ,111.98
+ ,40.485
+ ,1.3074
+ ,112.07
+ ,40.55
+ ,1.312
+ ,112.05
+ ,40.7955
+ ,1.3364
+ ,113.14
+ ,41.456
+ ,1.3323
+ ,112.49
+ ,41.3557
+ ,1.3412
+ ,113.2
+ ,41.374
+ ,1.3477
+ ,113.52
+ ,41.2235
+ ,1.346
+ ,113.22
+ ,41.15
+ ,1.3611
+ ,113.85
+ ,41.3725
+ ,1.3648
+ ,113.68
+ ,41.6923
+ ,1.3726
+ ,114.26
+ ,41.8
+ ,1.3705
+ ,114.1
+ ,41.8045
+ ,1.378
+ ,114.8
+ ,41.64
+ ,1.3856
+ ,114.98
+ ,41.36
+ ,1.397
+ ,115.1
+ ,41.5745
+ ,1.3874
+ ,114.21
+ ,41.593
+ ,1.3936
+ ,114.24
+ ,41.575
+ ,1.3833
+ ,113.35
+ ,41.68
+ ,1.3958
+ ,114.23
+ ,42.0055
+ ,1.4101
+ ,114.43
+ ,42.3188
+ ,1.4089
+ ,114.28
+ ,42.565
+ ,1.3896
+ ,113
+ ,42.3575
+ ,1.3859
+ ,113.16
+ ,42.29
+ ,1.3861
+ ,112.59
+ ,42.695
+ ,1.4016
+ ,113.65
+ ,43.0028
+ ,1.3934
+ ,113.18
+ ,42.4507
+ ,1.4031
+ ,113.21
+ ,42.4705
+ ,1.3912
+ ,113.11
+ ,42.2875
+ ,1.3803
+ ,112.78
+ ,42.3172
+ ,1.3857
+ ,112.57
+ ,42.55
+ ,1.3857
+ ,111.87
+ ,42.7523
+ ,1.3926
+ ,111.94
+ ,42.8993
+ ,1.4018
+ ,113.18
+ ,43.1555
+ ,1.4014
+ ,113.67
+ ,43.1885
+ ,1.4244
+ ,115.15
+ ,43.43
+ ,1.4084
+ ,114.41
+ ,43.31
+ ,1.3917
+ ,112.88
+ ,42.815
+ ,1.3945
+ ,112.44
+ ,42.7017
+ ,1.377
+ ,113.48
+ ,42.28
+ ,1.37
+ ,112.78
+ ,41.922
+ ,1.3711
+ ,112.59
+ ,42.17
+ ,1.3626
+ ,113.31
+ ,42.1962
+ ,1.3612
+ ,113.21
+ ,42.3215
+ ,1.3481
+ ,112.5
+ ,42.3173
+ ,1.3647
+ ,113.72
+ ,42.391
+ ,1.3674
+ ,114.09
+ ,42.463
+ ,1.3647
+ ,113.97
+ ,42.4125
+ ,1.3496
+ ,112.5
+ ,42.304
+ ,1.3339
+ ,111.28
+ ,41.813
+ ,1.3321
+ ,111.35
+ ,41.651
+ ,1.3225
+ ,110.92
+ ,41.539
+ ,1.3146
+ ,110.73
+ ,41.1575
+ ,1.2998
+ ,109
+ ,40.9545)
+ ,dim=c(3
+ ,491)
+ ,dimnames=list(c('Dollar'
+ ,'Yen'
+ ,'Roebel')
+ ,1:491))
> y <- array(NA,dim=c(3,491),dimnames=list(c('Dollar','Yen','Roebel'),1:491))
> 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 = '3'
> #'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
Roebel Dollar Yen
1 40.7819 1.3866 126.64
2 39.5915 1.3582 126.81
3 38.8859 1.3332 125.84
4 39.9068 1.3595 126.77
5 41.4700 1.3617 124.34
6 41.5613 1.3684 124.40
7 41.6005 1.3394 120.48
8 41.4113 1.3262 118.54
9 41.8400 1.3173 117.66
10 42.2892 1.3085 116.97
11 43.1521 1.3270 120.11
12 43.5998 1.3182 119.16
13 43.1160 1.2930 116.90
14 42.4185 1.2910 116.11
15 42.3687 1.2984 114.98
16 42.2975 1.2795 113.65
17 42.8528 1.2990 115.82
18 43.5350 1.3174 117.59
19 44.7265 1.3260 118.57
20 45.7293 1.3111 118.07
21 45.7585 1.2816 114.98
22 46.1685 1.2760 114.04
23 46.5075 1.2849 115.02
24 46.5270 1.2818 114.28
25 46.6010 1.2829 115.04
26 46.4607 1.2796 116.70
27 46.7135 1.3008 119.21
28 46.4113 1.2967 118.39
29 45.5500 1.2938 116.50
30 44.6081 1.2833 115.46
31 44.4395 1.2823 117.59
32 44.9847 1.2765 117.33
33 45.7558 1.2634 116.20
34 45.3942 1.2596 116.83
35 45.6970 1.2705 118.99
36 45.5664 1.2591 118.62
37 46.0205 1.2798 121.09
38 45.9195 1.2763 122.40
39 45.8005 1.2795 123.76
40 45.5350 1.2782 125.33
41 45.4977 1.2644 123.23
42 45.5782 1.2596 122.52
43 45.7697 1.2615 123.64
44 45.2445 1.2555 124.67
45 45.0615 1.2555 124.71
46 45.2865 1.2658 122.53
47 44.7910 1.2565 124.40
48 44.7625 1.2783 125.45
49 44.7644 1.2786 125.35
50 44.9973 1.2782 124.30
51 44.7265 1.2905 127.03
52 45.1465 1.3042 128.51
53 44.7465 1.2942 128.10
54 45.1795 1.3130 128.94
55 45.6515 1.3671 129.67
56 45.4920 1.3549 129.87
57 45.2775 1.3558 131.12
58 45.2115 1.3507 132.68
59 45.4110 1.3494 132.24
60 45.4005 1.3607 133.63
61 44.7692 1.3295 129.91
62 44.8913 1.3193 127.93
63 45.0320 1.3308 131.17
64 44.8790 1.3246 130.86
65 44.8330 1.3392 133.48
66 44.8257 1.3425 134.08
67 44.7815 1.3496 136.02
68 44.4790 1.3255 132.80
69 44.6317 1.3231 132.37
70 44.5043 1.3273 133.05
71 44.3217 1.3276 132.57
72 44.1005 1.3173 130.70
73 44.0470 1.3196 130.50
74 43.6835 1.3058 129.67
75 43.7864 1.2966 127.80
76 44.1807 1.2932 126.82
77 43.9595 1.2947 126.85
78 43.9370 1.3050 128.28
79 43.9910 1.3232 128.30
80 43.8650 1.3125 126.82
81 43.6710 1.2992 125.08
82 43.9300 1.3266 128.53
83 43.8630 1.3275 130.34
84 43.7095 1.3223 131.52
85 43.9435 1.3403 132.59
86 43.7360 1.3322 131.17
87 43.6295 1.3363 132.72
88 43.5980 1.3425 133.36
89 43.8726 1.3574 132.82
90 43.8935 1.3683 132.90
91 43.5957 1.3623 130.90
92 43.7155 1.3563 129.41
93 43.5280 1.3518 128.67
94 43.3415 1.3494 129.28
95 43.3374 1.3612 130.91
96 43.3320 1.3690 131.06
97 43.3869 1.3771 130.84
98 43.5016 1.3972 131.41
99 43.4875 1.4010 133.22
100 43.6023 1.3908 132.06
101 43.3886 1.3901 132.48
102 43.3105 1.3856 134.38
103 43.4455 1.4098 135.22
104 43.5185 1.4220 134.89
105 43.5755 1.4238 136.09
106 43.6217 1.4207 136.33
107 43.6440 1.4095 136.32
108 43.5789 1.4177 137.48
109 43.5215 1.3866 136.53
110 43.5033 1.3959 136.80
111 43.6320 1.4102 138.03
112 43.2630 1.3969 137.39
113 43.3717 1.4004 137.55
114 43.2745 1.3850 136.08
115 43.2647 1.3890 134.78
116 43.3240 1.3840 133.28
117 43.4455 1.3920 133.57
118 43.4098 1.3932 134.84
119 43.4100 1.3858 133.02
120 43.9300 1.3978 133.49
121 43.8104 1.4029 133.77
122 43.5400 1.3940 134.34
123 43.8580 1.4096 134.50
124 43.8375 1.4058 134.03
125 43.8810 1.4134 135.51
126 43.8870 1.4096 136.53
127 43.8009 1.4049 135.95
128 43.7877 1.4009 134.32
129 43.8110 1.3897 132.44
130 44.0625 1.4019 133.61
131 44.1250 1.3901 131.02
132 44.5200 1.3990 130.05
133 45.4005 1.3901 128.21
134 45.8900 1.3975 129.03
135 45.1890 1.3991 130.34
136 44.9035 1.4089 131.57
137 44.9351 1.4130 132.63
138 44.8010 1.4090 132.06
139 43.9800 1.4217 134.44
140 44.1100 1.4223 134.10
141 44.2661 1.4191 132.49
142 44.3610 1.4229 134.23
143 44.0990 1.4227 134.92
144 43.8435 1.4269 135.61
145 43.8914 1.4229 134.53
146 44.2170 1.4104 133.86
147 44.5060 1.4053 133.89
148 44.5400 1.4138 135.33
149 44.4465 1.4303 135.86
150 44.8420 1.4384 136.22
151 44.8946 1.4410 137.38
152 44.9510 1.4370 137.31
153 45.4450 1.4357 136.89
154 45.0035 1.4202 138.01
155 45.7690 1.4166 136.72
156 46.0900 1.4170 135.77
157 45.4120 1.4293 137.52
158 45.1200 1.4294 135.61
159 45.4800 1.4072 132.94
160 45.1050 1.4101 134.12
161 45.0560 1.4112 132.55
162 45.2200 1.4243 134.11
163 45.3900 1.4330 134.19
164 45.0410 1.4323 135.57
165 44.9399 1.4324 135.05
166 44.9315 1.4270 134.32
167 45.1935 1.4268 133.61
168 45.3466 1.4364 134.75
169 45.4645 1.4272 133.10
170 45.5685 1.4314 133.26
171 45.3921 1.4220 131.63
172 45.3400 1.4335 132.47
173 45.1308 1.4262 132.45
174 45.1005 1.4330 133.33
175 45.3700 1.4473 133.57
176 45.2000 1.4522 134.13
177 44.9614 1.4545 133.92
178 44.8015 1.4594 132.62
179 44.9152 1.4561 132.30
180 45.0950 1.4611 133.26
181 44.9271 1.4671 132.60
182 44.6026 1.4712 134.38
183 44.5000 1.4705 134.17
184 44.5400 1.4658 135.46
185 44.5532 1.4780 135.09
186 44.4070 1.4783 134.96
187 44.2590 1.4768 133.85
188 44.1365 1.4670 132.59
189 44.1120 1.4650 131.15
190 43.8814 1.4549 130.91
191 43.9800 1.4643 131.07
192 43.7294 1.4539 130.78
193 43.9119 1.4537 129.95
194 43.9550 1.4616 131.41
195 43.9000 1.4722 131.21
196 43.7065 1.4694 130.68
197 43.6939 1.4763 130.46
198 43.6587 1.4750 131.12
199 43.5885 1.4765 132.99
200 43.8885 1.4864 133.02
201 43.8216 1.4881 133.39
202 43.7510 1.4864 134.07
203 43.6990 1.4869 135.60
204 43.7425 1.4918 135.66
205 43.6390 1.4971 135.53
206 43.5890 1.4921 135.82
207 43.6060 1.5000 136.90
208 43.5325 1.5020 137.97
209 43.3850 1.5019 138.09
210 43.3745 1.4874 136.91
211 43.2360 1.4785 134.76
212 43.1957 1.4788 135.13
213 43.0100 1.4800 134.66
214 43.1401 1.4772 132.95
215 43.0487 1.4658 132.25
216 43.1972 1.4761 134.30
217 43.2461 1.4867 134.30
218 43.0866 1.4862 134.76
219 43.0865 1.4984 134.81
220 43.0194 1.4966 134.51
221 43.0800 1.5037 135.11
222 43.0070 1.4922 134.32
223 42.9278 1.4868 133.51
224 42.9545 1.4965 134.02
225 42.7995 1.4875 132.76
226 42.9048 1.4957 133.39
227 42.9468 1.4863 132.05
228 43.0800 1.4815 131.87
229 43.1274 1.4968 133.03
230 43.1625 1.4969 132.57
231 43.4500 1.5083 132.10
232 43.8310 1.5071 130.70
233 43.7769 1.4918 129.20
234 43.9800 1.5023 129.77
235 43.9200 1.5074 131.02
236 44.1100 1.5090 131.55
237 44.0300 1.5120 133.17
238 44.1582 1.5068 133.08
239 44.1400 1.4787 133.24
240 45.0700 1.4774 130.74
241 44.8737 1.4768 129.91
242 44.8505 1.4730 130.03
243 44.3730 1.4757 131.13
244 44.0750 1.4647 129.55
245 43.9725 1.4541 130.22
246 44.0940 1.4560 130.61
247 44.1910 1.4343 129.27
248 43.9685 1.4337 129.68
249 43.7900 1.4368 130.10
250 43.6041 1.4279 130.83
251 43.1707 1.4276 130.95
252 42.7100 1.4398 131.73
253 42.7550 1.4405 131.86
254 43.3316 1.4433 132.44
255 43.5000 1.4338 132.35
256 43.1540 1.4406 133.16
257 43.1600 1.4389 133.62
258 43.1000 1.4442 132.54
259 42.8500 1.4350 132.69
260 42.6175 1.4304 133.50
261 42.5000 1.4273 133.36
262 42.6285 1.4528 134.23
263 42.6974 1.4481 132.41
264 43.0400 1.4563 133.02
265 42.6730 1.4486 132.88
266 42.5015 1.4374 130.76
267 42.5380 1.4369 130.33
268 42.3735 1.4279 129.79
269 42.0140 1.4132 128.65
270 41.8618 1.4064 129.14
271 42.1824 1.4135 127.35
272 42.6050 1.4151 127.74
273 42.7345 1.4085 126.31
274 42.6150 1.4072 125.95
275 42.4650 1.3999 126.36
276 42.3400 1.3966 126.15
277 42.2510 1.3913 125.60
278 42.0475 1.3937 126.20
279 41.8600 1.3984 126.73
280 41.6850 1.3847 125.68
281 41.7350 1.3691 122.49
282 41.7060 1.3675 122.07
283 41.7640 1.3760 123.40
284 41.5800 1.3740 123.01
285 41.3730 1.3718 123.03
286 41.0880 1.3572 122.33
287 41.1370 1.3607 122.42
288 41.1587 1.3649 122.68
289 41.1850 1.3726 124.69
290 40.8190 1.3567 123.30
291 40.6330 1.3519 124.17
292 40.8580 1.3626 124.38
293 40.7940 1.3577 123.19
294 40.6900 1.3547 122.16
295 40.5950 1.3489 120.66
296 40.7305 1.3570 120.92
297 40.5471 1.3525 120.67
298 40.5145 1.3548 120.68
299 40.7000 1.3641 121.10
300 40.7000 1.3668 120.86
301 40.5220 1.3582 121.48
302 40.6165 1.3662 123.48
303 40.3985 1.3557 121.72
304 40.2815 1.3610 123.16
305 40.2450 1.3657 123.84
306 40.3055 1.3765 124.57
307 40.2696 1.3705 124.30
308 40.2510 1.3723 124.22
309 40.1270 1.3756 124.43
310 39.9500 1.3660 123.33
311 39.6750 1.3548 122.86
312 39.9540 1.3471 121.25
313 39.8828 1.3519 122.16
314 39.6200 1.3338 122.62
315 39.5415 1.3356 123.44
316 39.5250 1.3353 124.00
317 39.8145 1.3471 124.75
318 39.6675 1.3482 124.80
319 39.6950 1.3479 125.93
320 39.5985 1.3468 126.28
321 39.2735 1.3396 126.04
322 39.1435 1.3340 125.04
323 39.1742 1.3296 123.76
324 39.2025 1.3384 125.34
325 39.3946 1.3585 126.99
326 39.5025 1.3583 126.34
327 39.4845 1.3615 127.42
328 39.3300 1.3544 126.18
329 39.2950 1.3535 125.30
330 39.2675 1.3432 123.50
331 39.2535 1.3486 125.32
332 38.9845 1.3373 124.65
333 38.9285 1.3339 124.03
334 38.8592 1.3311 125.11
335 38.7700 1.3321 125.46
336 38.7900 1.3290 124.70
337 38.8205 1.3245 124.48
338 38.7577 1.3256 124.76
339 38.8390 1.3315 125.81
340 38.7800 1.3238 124.95
341 38.5400 1.3089 123.66
342 38.5110 1.2924 122.66
343 38.6150 1.2727 119.34
344 38.8980 1.2746 117.84
345 38.8691 1.2969 120.97
346 38.3840 1.2698 117.38
347 38.0277 1.2686 118.06
348 37.7200 1.2587 116.99
349 37.7325 1.2492 115.55
350 37.6260 1.2349 114.17
351 37.6030 1.2428 115.32
352 37.7800 1.2270 112.49
353 38.5590 1.2334 111.93
354 39.0459 1.2497 112.08
355 38.4500 1.2360 111.63
356 38.5050 1.2223 109.53
357 38.2885 1.2309 111.35
358 37.7950 1.2255 110.79
359 37.9200 1.2384 113.06
360 38.0340 1.2307 112.62
361 38.0290 1.2155 110.65
362 38.0630 1.2218 112.36
363 37.9828 1.2268 113.74
364 37.7450 1.2060 111.73
365 37.9690 1.1959 109.86
366 38.0070 1.1942 109.32
367 38.0615 1.2010 109.99
368 38.0912 1.2045 109.84
369 38.0910 1.2127 111.13
370 38.4310 1.2249 112.43
371 38.4800 1.2258 111.77
372 38.3500 1.2277 112.15
373 38.2140 1.2363 112.89
374 38.3840 1.2372 112.12
375 38.1375 1.2391 113.10
376 38.0075 1.2258 111.09
377 38.0524 1.2271 110.76
378 38.2350 1.2262 109.59
379 38.3100 1.2294 109.99
380 38.2615 1.2339 110.25
381 38.1300 1.2198 108.31
382 38.2820 1.2271 108.79
383 38.5810 1.2328 108.14
384 39.0801 1.2548 109.88
385 39.0387 1.2531 109.93
386 39.1015 1.2579 110.46
387 39.1503 1.2567 109.56
388 39.1400 1.2660 111.49
389 39.0275 1.2637 111.85
390 38.7665 1.2572 111.35
391 38.6910 1.2569 110.95
392 38.8490 1.2703 112.49
393 39.1644 1.2828 113.11
394 39.4907 1.3000 112.54
395 39.5095 1.2957 112.84
396 39.2795 1.2844 111.50
397 39.0437 1.2817 111.52
398 39.1355 1.2850 111.57
399 39.1430 1.2897 112.48
400 39.1850 1.2931 112.31
401 39.3550 1.3033 113.79
402 39.2970 1.2992 114.01
403 39.4514 1.3069 113.64
404 39.4173 1.3028 112.62
405 39.4305 1.3073 113.27
406 39.3840 1.3221 113.51
407 39.3261 1.3206 112.92
408 39.3010 1.3184 113.66
409 39.3500 1.3176 113.14
410 39.6400 1.3253 113.48
411 39.4723 1.3133 113.23
412 39.3685 1.3016 110.56
413 39.1906 1.2790 109.50
414 39.1183 1.2799 109.78
415 39.1325 1.2820 109.49
416 39.1144 1.2860 109.66
417 39.1614 1.2880 109.93
418 39.0908 1.2836 109.82
419 38.9199 1.2711 108.54
420 38.9130 1.2704 108.23
421 38.9655 1.2611 106.19
422 39.0290 1.2613 106.49
423 39.0890 1.2693 107.15
424 39.0700 1.2713 107.74
425 39.0046 1.2700 107.54
426 39.1038 1.2680 107.07
427 39.3572 1.2800 107.54
428 39.3880 1.2818 107.81
429 39.3820 1.2834 108.38
430 39.4398 1.2874 108.42
431 39.2537 1.2744 106.86
432 39.2301 1.2697 106.41
433 39.2763 1.2715 106.46
434 39.2820 1.2725 106.84
435 39.3325 1.2801 107.69
436 39.5570 1.2850 107.04
437 40.1000 1.2989 111.04
438 40.5875 1.3078 111.93
439 40.4850 1.3060 111.98
440 40.5500 1.3074 112.07
441 40.7955 1.3120 112.05
442 41.4560 1.3364 113.14
443 41.3557 1.3323 112.49
444 41.3740 1.3412 113.20
445 41.2235 1.3477 113.52
446 41.1500 1.3460 113.22
447 41.3725 1.3611 113.85
448 41.6923 1.3648 113.68
449 41.8000 1.3726 114.26
450 41.8045 1.3705 114.10
451 41.6400 1.3780 114.80
452 41.3600 1.3856 114.98
453 41.5745 1.3970 115.10
454 41.5930 1.3874 114.21
455 41.5750 1.3936 114.24
456 41.6800 1.3833 113.35
457 42.0055 1.3958 114.23
458 42.3188 1.4101 114.43
459 42.5650 1.4089 114.28
460 42.3575 1.3896 113.00
461 42.2900 1.3859 113.16
462 42.6950 1.3861 112.59
463 43.0028 1.4016 113.65
464 42.4507 1.3934 113.18
465 42.4705 1.4031 113.21
466 42.2875 1.3912 113.11
467 42.3172 1.3803 112.78
468 42.5500 1.3857 112.57
469 42.7523 1.3857 111.87
470 42.8993 1.3926 111.94
471 43.1555 1.4018 113.18
472 43.1885 1.4014 113.67
473 43.4300 1.4244 115.15
474 43.3100 1.4084 114.41
475 42.8150 1.3917 112.88
476 42.7017 1.3945 112.44
477 42.2800 1.3770 113.48
478 41.9220 1.3700 112.78
479 42.1700 1.3711 112.59
480 42.1962 1.3626 113.31
481 42.3215 1.3612 113.21
482 42.3173 1.3481 112.50
483 42.3910 1.3647 113.72
484 42.4630 1.3674 114.09
485 42.4125 1.3647 113.97
486 42.3040 1.3496 112.50
487 41.8130 1.3339 111.28
488 41.6510 1.3321 111.35
489 41.5390 1.3225 110.92
490 41.1575 1.3146 110.73
491 40.9545 1.2998 109.00
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) Dollar Yen
19.0193 4.0538 0.1431
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-3.5966 -1.1512 -0.1688 1.1625 5.9636
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 19.01933 1.45278 13.092 <2e-16 ***
Dollar 4.05376 1.59126 2.548 0.0112 *
Yen 0.14305 0.01298 11.020 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 1.803 on 488 degrees of freedom
Multiple R-squared: 0.437, Adjusted R-squared: 0.4346
F-statistic: 189.4 on 2 and 488 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,] 0.0026666094 5.333219e-03 9.973334e-01
[2,] 0.0022358579 4.471716e-03 9.977641e-01
[3,] 0.0008667966 1.733593e-03 9.991332e-01
[4,] 0.0001689667 3.379333e-04 9.998310e-01
[5,] 0.0001024587 2.049174e-04 9.998975e-01
[6,] 0.0036008232 7.201646e-03 9.963992e-01
[7,] 0.0127634132 2.552683e-02 9.872366e-01
[8,] 0.0082973085 1.659462e-02 9.917027e-01
[9,] 0.0039323630 7.864726e-03 9.960676e-01
[10,] 0.0027291378 5.458276e-03 9.972709e-01
[11,] 0.0017294849 3.458970e-03 9.982705e-01
[12,] 0.0007830174 1.566035e-03 9.992170e-01
[13,] 0.0006139249 1.227850e-03 9.993861e-01
[14,] 0.0029020568 5.804114e-03 9.970979e-01
[15,] 0.0374410160 7.488203e-02 9.625590e-01
[16,] 0.0816696461 1.633393e-01 9.183304e-01
[17,] 0.1267665762 2.535332e-01 8.732334e-01
[18,] 0.2082555905 4.165112e-01 7.917444e-01
[19,] 0.2613762998 5.227526e-01 7.386237e-01
[20,] 0.3335484144 6.670968e-01 6.664516e-01
[21,] 0.4172763406 8.345527e-01 5.827237e-01
[22,] 0.6014830368 7.970339e-01 3.985170e-01
[23,] 0.6763156277 6.473687e-01 3.236844e-01
[24,] 0.6681362901 6.637274e-01 3.318637e-01
[25,] 0.6402187650 7.195625e-01 3.597812e-01
[26,] 0.6077662251 7.844675e-01 3.922338e-01
[27,] 0.5784053068 8.431894e-01 4.215947e-01
[28,] 0.5629884286 8.740231e-01 4.370116e-01
[29,] 0.5475220654 9.049559e-01 4.524779e-01
[30,] 0.5360876025 9.278248e-01 4.639124e-01
[31,] 0.5208458141 9.583084e-01 4.791542e-01
[32,] 0.5437860690 9.124279e-01 4.562139e-01
[33,] 0.5460628578 9.078743e-01 4.539371e-01
[34,] 0.5414919183 9.170162e-01 4.585081e-01
[35,] 0.5216067525 9.567865e-01 4.783932e-01
[36,] 0.5103876237 9.792248e-01 4.896124e-01
[37,] 0.5070187740 9.859625e-01 4.929812e-01
[38,] 0.5013802974 9.972394e-01 4.986197e-01
[39,] 0.5036172726 9.927655e-01 4.963827e-01
[40,] 0.5064472221 9.871056e-01 4.935528e-01
[41,] 0.5025820047 9.948360e-01 4.974180e-01
[42,] 0.5100093258 9.799813e-01 4.899907e-01
[43,] 0.4925378159 9.850756e-01 5.074622e-01
[44,] 0.4768712092 9.537424e-01 5.231288e-01
[45,] 0.4703816771 9.407634e-01 5.296183e-01
[46,] 0.4621884348 9.243769e-01 5.378116e-01
[47,] 0.5105653658 9.788693e-01 4.894346e-01
[48,] 0.5040778840 9.918442e-01 4.959221e-01
[49,] 0.5704218791 8.591562e-01 4.295781e-01
[50,] 0.8753432654 2.493135e-01 1.246567e-01
[51,] 0.9465531264 1.068937e-01 5.344687e-02
[52,] 0.9706143018 5.877140e-02 2.938570e-02
[53,] 0.9787291389 4.254172e-02 2.127086e-02
[54,] 0.9849254792 3.014904e-02 1.507452e-02
[55,] 0.9894471568 2.110569e-02 1.055284e-02
[56,] 0.9889029483 2.219410e-02 1.109705e-02
[57,] 0.9889986022 2.200280e-02 1.100140e-02
[58,] 0.9889827999 2.203440e-02 1.101720e-02
[59,] 0.9885491003 2.290180e-02 1.145090e-02
[60,] 0.9876520309 2.469594e-02 1.234797e-02
[61,] 0.9866284423 2.674312e-02 1.337156e-02
[62,] 0.9850702846 2.985943e-02 1.492972e-02
[63,] 0.9838171234 3.236575e-02 1.618288e-02
[64,] 0.9829462482 3.410750e-02 1.705375e-02
[65,] 0.9816725978 3.665480e-02 1.832740e-02
[66,] 0.9802542950 3.949141e-02 1.974571e-02
[67,] 0.9799077463 4.018451e-02 2.009225e-02
[68,] 0.9793262784 4.134744e-02 2.067372e-02
[69,] 0.9816088546 3.678229e-02 1.839115e-02
[70,] 0.9846270958 3.074581e-02 1.537290e-02
[71,] 0.9872541070 2.549179e-02 1.274589e-02
[72,] 0.9895298238 2.094035e-02 1.047018e-02
[73,] 0.9906547615 1.869048e-02 9.345238e-03
[74,] 0.9906307771 1.873845e-02 9.369223e-03
[75,] 0.9912343596 1.753128e-02 8.765640e-03
[76,] 0.9928077560 1.438449e-02 7.192244e-03
[77,] 0.9928328466 1.433431e-02 7.167153e-03
[78,] 0.9927679899 1.446402e-02 7.232010e-03
[79,] 0.9930000529 1.399989e-02 6.999947e-03
[80,] 0.9926231930 1.475361e-02 7.376807e-03
[81,] 0.9924406735 1.511865e-02 7.559327e-03
[82,] 0.9920540989 1.589180e-02 7.945901e-03
[83,] 0.9913858316 1.722834e-02 8.614168e-03
[84,] 0.9908759627 1.824807e-02 9.124037e-03
[85,] 0.9906166201 1.876676e-02 9.383380e-03
[86,] 0.9897625917 2.047482e-02 1.023741e-02
[87,] 0.9893586812 2.128264e-02 1.064132e-02
[88,] 0.9886380859 2.272383e-02 1.136191e-02
[89,] 0.9875990343 2.480193e-02 1.240097e-02
[90,] 0.9860262235 2.794755e-02 1.397378e-02
[91,] 0.9842342478 3.153150e-02 1.576575e-02
[92,] 0.9826906818 3.461864e-02 1.730932e-02
[93,] 0.9829032995 3.419340e-02 1.709670e-02
[94,] 0.9823531437 3.529371e-02 1.764686e-02
[95,] 0.9815922530 3.681549e-02 1.840775e-02
[96,] 0.9794626985 4.107460e-02 2.053730e-02
[97,] 0.9762050476 4.758990e-02 2.379495e-02
[98,] 0.9744372814 5.112544e-02 2.556272e-02
[99,] 0.9744792545 5.104149e-02 2.552075e-02
[100,] 0.9739078426 5.218431e-02 2.609216e-02
[101,] 0.9725476228 5.490475e-02 2.745238e-02
[102,] 0.9697462351 6.050753e-02 3.025376e-02
[103,] 0.9664176964 6.716461e-02 3.358230e-02
[104,] 0.9617004966 7.659901e-02 3.829950e-02
[105,] 0.9561391535 8.772169e-02 4.386085e-02
[106,] 0.9507611493 9.847770e-02 4.923885e-02
[107,] 0.9431214213 1.137572e-01 5.687858e-02
[108,] 0.9347699472 1.304601e-01 6.523005e-02
[109,] 0.9265946410 1.468107e-01 7.340536e-02
[110,] 0.9172330131 1.655340e-01 8.276699e-02
[111,] 0.9081108594 1.837783e-01 9.188914e-02
[112,] 0.8987150025 2.025700e-01 1.012850e-01
[113,] 0.8877439434 2.245121e-01 1.122561e-01
[114,] 0.8773289696 2.453421e-01 1.226710e-01
[115,] 0.8752589666 2.494821e-01 1.247410e-01
[116,] 0.8706063081 2.587874e-01 1.293937e-01
[117,] 0.8596740301 2.806519e-01 1.403260e-01
[118,] 0.8557572538 2.884855e-01 1.442427e-01
[119,] 0.8507921855 2.984156e-01 1.492078e-01
[120,] 0.8458143397 3.083713e-01 1.541857e-01
[121,] 0.8384512138 3.230976e-01 1.615488e-01
[122,] 0.8290778032 3.418444e-01 1.709222e-01
[123,] 0.8207505689 3.584989e-01 1.792494e-01
[124,] 0.8152075426 3.695849e-01 1.847925e-01
[125,] 0.8155197762 3.689604e-01 1.844802e-01
[126,] 0.8215112176 3.569776e-01 1.784888e-01
[127,] 0.8457223152 3.085554e-01 1.542777e-01
[128,] 0.9087881920 1.824236e-01 9.121181e-02
[129,] 0.9628856250 7.422875e-02 3.711437e-02
[130,] 0.9777417126 4.451657e-02 2.225829e-02
[131,] 0.9843579497 3.128410e-02 1.564205e-02
[132,] 0.9890639764 2.187205e-02 1.093602e-02
[133,] 0.9919388261 1.612235e-02 8.061174e-03
[134,] 0.9914152825 1.716943e-02 8.584717e-03
[135,] 0.9912003039 1.759939e-02 8.799696e-03
[136,] 0.9915636310 1.687274e-02 8.436369e-03
[137,] 0.9920015804 1.599684e-02 7.998420e-03
[138,] 0.9916709449 1.665811e-02 8.329055e-03
[139,] 0.9906853796 1.862924e-02 9.314620e-03
[140,] 0.9898067902 2.038642e-02 1.019321e-02
[141,] 0.9901158886 1.976822e-02 9.884111e-03
[142,] 0.9915772402 1.684552e-02 8.422760e-03
[143,] 0.9927091474 1.458171e-02 7.290853e-03
[144,] 0.9931518207 1.369636e-02 6.848179e-03
[145,] 0.9945038316 1.099234e-02 5.496168e-03
[146,] 0.9956254598 8.749080e-03 4.374540e-03
[147,] 0.9966631808 6.673638e-03 3.336819e-03
[148,] 0.9981979624 3.604075e-03 1.802038e-03
[149,] 0.9988163249 2.367350e-03 1.183675e-03
[150,] 0.9996307238 7.385524e-04 3.692762e-04
[151,] 0.9999349536 1.300927e-04 6.504636e-05
[152,] 0.9999748470 5.030596e-05 2.515298e-05
[153,] 0.9999877712 2.445760e-05 1.222880e-05
[154,] 0.9999974264 5.147289e-06 2.573644e-06
[155,] 0.9999992267 1.546536e-06 7.732680e-07
[156,] 0.9999997706 4.588499e-07 2.294250e-07
[157,] 0.9999999379 1.241880e-07 6.209398e-08
[158,] 0.9999999859 2.815717e-08 1.407859e-08
[159,] 0.9999999955 9.095481e-09 4.547740e-09
[160,] 0.9999999984 3.155722e-09 1.577861e-09
[161,] 0.9999999996 8.974587e-10 4.487294e-10
[162,] 0.9999999999 1.482803e-10 7.414017e-11
[163,] 1.0000000000 1.998267e-11 9.991337e-12
[164,] 1.0000000000 1.264649e-12 6.323245e-13
[165,] 1.0000000000 5.309827e-14 2.654913e-14
[166,] 1.0000000000 1.740517e-15 8.702586e-16
[167,] 1.0000000000 8.204818e-17 4.102409e-17
[168,] 1.0000000000 3.163380e-18 1.581690e-18
[169,] 1.0000000000 1.298885e-19 6.494423e-20
[170,] 1.0000000000 4.385982e-21 2.192991e-21
[171,] 1.0000000000 2.515075e-22 1.257538e-22
[172,] 1.0000000000 2.975891e-23 1.487946e-23
[173,] 1.0000000000 8.186113e-24 4.093057e-24
[174,] 1.0000000000 1.298464e-24 6.492318e-25
[175,] 1.0000000000 1.248876e-25 6.244381e-26
[176,] 1.0000000000 3.058699e-26 1.529350e-26
[177,] 1.0000000000 1.498817e-26 7.494087e-27
[178,] 1.0000000000 8.662831e-27 4.331416e-27
[179,] 1.0000000000 2.588883e-27 1.294441e-27
[180,] 1.0000000000 1.586309e-27 7.931544e-28
[181,] 1.0000000000 1.287313e-27 6.436567e-28
[182,] 1.0000000000 1.392717e-27 6.963585e-28
[183,] 1.0000000000 1.353819e-27 6.769094e-28
[184,] 1.0000000000 1.465372e-27 7.326858e-28
[185,] 1.0000000000 1.416660e-27 7.083300e-28
[186,] 1.0000000000 1.725975e-27 8.629875e-28
[187,] 1.0000000000 1.898431e-27 9.492156e-28
[188,] 1.0000000000 1.811785e-27 9.058924e-28
[189,] 1.0000000000 1.886157e-27 9.430783e-28
[190,] 1.0000000000 3.016189e-27 1.508094e-27
[191,] 1.0000000000 5.205113e-27 2.602556e-27
[192,] 1.0000000000 9.938801e-27 4.969400e-27
[193,] 1.0000000000 1.843520e-26 9.217599e-27
[194,] 1.0000000000 3.282721e-26 1.641360e-26
[195,] 1.0000000000 6.148164e-26 3.074082e-26
[196,] 1.0000000000 1.175475e-25 5.877377e-26
[197,] 1.0000000000 2.185099e-25 1.092550e-25
[198,] 1.0000000000 3.889469e-25 1.944734e-25
[199,] 1.0000000000 7.239788e-25 3.619894e-25
[200,] 1.0000000000 1.370518e-24 6.852588e-25
[201,] 1.0000000000 2.546686e-24 1.273343e-24
[202,] 1.0000000000 4.762270e-24 2.381135e-24
[203,] 1.0000000000 8.692595e-24 4.346297e-24
[204,] 1.0000000000 1.474532e-23 7.372662e-24
[205,] 1.0000000000 2.550253e-23 1.275127e-23
[206,] 1.0000000000 4.225570e-23 2.112785e-23
[207,] 1.0000000000 6.901136e-23 3.450568e-23
[208,] 1.0000000000 1.001631e-22 5.008153e-23
[209,] 1.0000000000 1.591400e-22 7.957001e-23
[210,] 1.0000000000 2.472186e-22 1.236093e-22
[211,] 1.0000000000 4.103358e-22 2.051679e-22
[212,] 1.0000000000 6.732447e-22 3.366224e-22
[213,] 1.0000000000 9.955987e-22 4.977993e-22
[214,] 1.0000000000 1.141790e-21 5.708952e-22
[215,] 1.0000000000 1.212189e-21 6.060947e-22
[216,] 1.0000000000 1.159949e-21 5.799746e-22
[217,] 1.0000000000 1.321668e-21 6.608341e-22
[218,] 1.0000000000 1.462406e-21 7.312032e-22
[219,] 1.0000000000 1.263339e-21 6.316695e-22
[220,] 1.0000000000 1.006988e-21 5.034938e-22
[221,] 1.0000000000 7.257141e-22 3.628571e-22
[222,] 1.0000000000 6.936748e-22 3.468374e-22
[223,] 1.0000000000 9.044975e-22 4.522487e-22
[224,] 1.0000000000 8.237857e-22 4.118928e-22
[225,] 1.0000000000 7.275740e-22 3.637870e-22
[226,] 1.0000000000 5.509873e-22 2.754937e-22
[227,] 1.0000000000 6.040611e-22 3.020306e-22
[228,] 1.0000000000 8.940658e-22 4.470329e-22
[229,] 1.0000000000 1.173401e-21 5.867005e-22
[230,] 1.0000000000 1.358342e-21 6.791711e-22
[231,] 1.0000000000 1.794668e-21 8.973341e-22
[232,] 1.0000000000 2.309903e-21 1.154952e-21
[233,] 1.0000000000 3.596346e-21 1.798173e-21
[234,] 1.0000000000 5.483559e-21 2.741779e-21
[235,] 1.0000000000 2.007639e-21 1.003820e-21
[236,] 1.0000000000 1.207150e-21 6.035752e-22
[237,] 1.0000000000 5.927225e-22 2.963612e-22
[238,] 1.0000000000 6.883045e-22 3.441522e-22
[239,] 1.0000000000 9.274847e-22 4.637424e-22
[240,] 1.0000000000 8.699361e-22 4.349680e-22
[241,] 1.0000000000 6.654666e-22 3.327333e-22
[242,] 1.0000000000 1.044569e-22 5.222846e-23
[243,] 1.0000000000 2.263476e-23 1.131738e-23
[244,] 1.0000000000 7.999671e-24 3.999835e-24
[245,] 1.0000000000 1.610170e-24 8.050852e-25
[246,] 1.0000000000 7.444748e-25 3.722374e-25
[247,] 1.0000000000 8.707281e-25 4.353640e-25
[248,] 1.0000000000 1.013344e-24 5.066718e-25
[249,] 1.0000000000 6.647955e-25 3.323977e-25
[250,] 1.0000000000 1.297107e-25 6.485537e-26
[251,] 1.0000000000 7.063908e-26 3.531954e-26
[252,] 1.0000000000 2.741389e-26 1.370694e-26
[253,] 1.0000000000 2.018854e-26 1.009427e-26
[254,] 1.0000000000 1.129540e-26 5.647699e-27
[255,] 1.0000000000 5.210447e-27 2.605223e-27
[256,] 1.0000000000 2.235476e-27 1.117738e-27
[257,] 1.0000000000 2.598034e-27 1.299017e-27
[258,] 1.0000000000 3.051996e-27 1.525998e-27
[259,] 1.0000000000 3.364119e-27 1.682060e-27
[260,] 1.0000000000 3.707273e-27 1.853637e-27
[261,] 1.0000000000 3.875951e-27 1.937976e-27
[262,] 1.0000000000 4.095949e-27 2.047975e-27
[263,] 1.0000000000 3.567012e-27 1.783506e-27
[264,] 1.0000000000 2.391915e-27 1.195957e-27
[265,] 1.0000000000 1.169636e-27 5.848179e-28
[266,] 1.0000000000 8.957943e-28 4.478972e-28
[267,] 1.0000000000 3.918948e-28 1.959474e-28
[268,] 1.0000000000 1.058671e-28 5.293354e-29
[269,] 1.0000000000 3.464938e-29 1.732469e-29
[270,] 1.0000000000 6.496167e-30 3.248084e-30
[271,] 1.0000000000 1.161961e-30 5.809803e-31
[272,] 1.0000000000 1.681770e-31 8.408849e-32
[273,] 1.0000000000 3.652320e-32 1.826160e-32
[274,] 1.0000000000 1.333003e-32 6.665016e-33
[275,] 1.0000000000 2.966988e-33 1.483494e-33
[276,] 1.0000000000 4.606454e-34 2.303227e-34
[277,] 1.0000000000 7.453966e-35 3.726983e-35
[278,] 1.0000000000 1.312741e-35 6.563705e-36
[279,] 1.0000000000 3.303718e-36 1.651859e-36
[280,] 1.0000000000 9.936349e-37 4.968175e-37
[281,] 1.0000000000 1.865340e-37 9.326700e-38
[282,] 1.0000000000 4.287650e-38 2.143825e-38
[283,] 1.0000000000 1.241672e-38 6.208358e-39
[284,] 1.0000000000 2.974514e-39 1.487257e-39
[285,] 1.0000000000 6.035814e-40 3.017907e-40
[286,] 1.0000000000 7.708733e-41 3.854367e-41
[287,] 1.0000000000 1.604135e-41 8.020677e-42
[288,] 1.0000000000 4.108030e-42 2.054015e-42
[289,] 1.0000000000 1.485494e-42 7.427469e-43
[290,] 1.0000000000 7.009080e-43 3.504540e-43
[291,] 1.0000000000 4.561400e-43 2.280700e-43
[292,] 1.0000000000 2.933381e-43 1.466691e-43
[293,] 1.0000000000 2.166003e-43 1.083001e-43
[294,] 1.0000000000 2.080251e-43 1.040126e-43
[295,] 1.0000000000 2.271119e-43 1.135560e-43
[296,] 1.0000000000 1.871002e-43 9.355010e-44
[297,] 1.0000000000 1.357544e-43 6.787718e-44
[298,] 1.0000000000 1.080823e-43 5.404117e-44
[299,] 1.0000000000 7.836016e-44 3.918008e-44
[300,] 1.0000000000 5.780875e-44 2.890437e-44
[301,] 1.0000000000 4.684979e-44 2.342490e-44
[302,] 1.0000000000 3.871814e-44 1.935907e-44
[303,] 1.0000000000 3.309872e-44 1.654936e-44
[304,] 1.0000000000 2.328580e-44 1.164290e-44
[305,] 1.0000000000 1.440965e-44 7.204824e-45
[306,] 1.0000000000 6.934087e-45 3.467043e-45
[307,] 1.0000000000 6.362572e-45 3.181286e-45
[308,] 1.0000000000 5.256576e-45 2.628288e-45
[309,] 1.0000000000 3.149915e-45 1.574958e-45
[310,] 1.0000000000 1.763467e-45 8.817337e-46
[311,] 1.0000000000 9.402959e-46 4.701480e-46
[312,] 1.0000000000 6.527663e-46 3.263831e-46
[313,] 1.0000000000 4.708904e-46 2.354452e-46
[314,] 1.0000000000 2.873639e-46 1.436820e-46
[315,] 1.0000000000 1.657856e-46 8.289279e-47
[316,] 1.0000000000 8.408259e-47 4.204129e-47
[317,] 1.0000000000 4.549811e-47 2.274906e-47
[318,] 1.0000000000 3.033652e-47 1.516826e-47
[319,] 1.0000000000 1.974115e-47 9.870573e-48
[320,] 1.0000000000 1.411539e-47 7.057696e-48
[321,] 1.0000000000 1.230383e-47 6.151914e-48
[322,] 1.0000000000 1.031939e-47 5.159694e-48
[323,] 1.0000000000 8.008696e-48 4.004348e-48
[324,] 1.0000000000 5.719865e-48 2.859932e-48
[325,] 1.0000000000 4.762025e-48 2.381013e-48
[326,] 1.0000000000 3.803296e-48 1.901648e-48
[327,] 1.0000000000 2.492313e-48 1.246157e-48
[328,] 1.0000000000 1.557104e-48 7.785522e-49
[329,] 1.0000000000 1.041584e-48 5.207920e-49
[330,] 1.0000000000 5.690901e-49 2.845451e-49
[331,] 1.0000000000 3.377480e-49 1.688740e-49
[332,] 1.0000000000 2.511240e-49 1.255620e-49
[333,] 1.0000000000 1.536516e-49 7.682581e-50
[334,] 1.0000000000 8.907507e-50 4.453753e-50
[335,] 1.0000000000 5.385109e-50 2.692555e-50
[336,] 1.0000000000 2.997672e-50 1.498836e-50
[337,] 1.0000000000 2.859463e-50 1.429731e-50
[338,] 1.0000000000 4.324619e-50 2.162310e-50
[339,] 1.0000000000 8.084544e-50 4.042272e-50
[340,] 1.0000000000 1.273156e-49 6.365779e-50
[341,] 1.0000000000 1.918702e-49 9.593510e-50
[342,] 1.0000000000 1.511763e-49 7.558817e-50
[343,] 1.0000000000 7.553471e-50 3.776736e-50
[344,] 1.0000000000 6.078556e-50 3.039278e-50
[345,] 1.0000000000 7.452663e-50 3.726332e-50
[346,] 1.0000000000 5.785702e-50 2.892851e-50
[347,] 1.0000000000 1.205607e-49 6.028033e-50
[348,] 1.0000000000 2.757959e-49 1.378979e-49
[349,] 1.0000000000 6.436311e-49 3.218155e-49
[350,] 1.0000000000 1.810813e-48 9.054066e-49
[351,] 1.0000000000 3.529473e-48 1.764736e-48
[352,] 1.0000000000 1.005324e-47 5.026619e-48
[353,] 1.0000000000 2.604745e-47 1.302373e-47
[354,] 1.0000000000 5.731836e-47 2.865918e-47
[355,] 1.0000000000 1.611712e-46 8.058558e-47
[356,] 1.0000000000 4.214047e-46 2.107024e-46
[357,] 1.0000000000 1.101382e-45 5.506912e-46
[358,] 1.0000000000 2.948109e-45 1.474055e-45
[359,] 1.0000000000 6.717737e-45 3.358869e-45
[360,] 1.0000000000 7.369079e-45 3.684540e-45
[361,] 1.0000000000 6.323156e-45 3.161578e-45
[362,] 1.0000000000 6.458530e-45 3.229265e-45
[363,] 1.0000000000 7.578894e-45 3.789447e-45
[364,] 1.0000000000 1.185967e-44 5.929834e-45
[365,] 1.0000000000 1.406122e-44 7.030608e-45
[366,] 1.0000000000 1.618911e-44 8.094554e-45
[367,] 1.0000000000 2.497651e-44 1.248826e-44
[368,] 1.0000000000 6.682431e-44 3.341215e-44
[369,] 1.0000000000 1.610826e-43 8.054128e-44
[370,] 1.0000000000 4.760651e-43 2.380326e-43
[371,] 1.0000000000 1.295860e-42 6.479298e-43
[372,] 1.0000000000 3.634071e-42 1.817036e-42
[373,] 1.0000000000 8.975619e-42 4.487810e-42
[374,] 1.0000000000 2.062887e-41 1.031444e-41
[375,] 1.0000000000 5.967443e-41 2.983722e-41
[376,] 1.0000000000 1.450724e-40 7.253621e-41
[377,] 1.0000000000 3.571322e-40 1.785661e-40
[378,] 1.0000000000 7.854555e-40 3.927278e-40
[379,] 1.0000000000 1.705054e-39 8.525272e-40
[380,] 1.0000000000 3.401216e-39 1.700608e-39
[381,] 1.0000000000 6.967066e-39 3.483533e-39
[382,] 1.0000000000 1.420324e-38 7.101620e-39
[383,] 1.0000000000 3.339879e-38 1.669939e-38
[384,] 1.0000000000 7.298977e-38 3.649488e-38
[385,] 1.0000000000 1.850032e-37 9.250161e-38
[386,] 1.0000000000 5.476579e-37 2.738289e-37
[387,] 1.0000000000 1.766455e-36 8.832274e-37
[388,] 1.0000000000 5.800661e-36 2.900330e-36
[389,] 1.0000000000 2.224177e-35 1.112088e-35
[390,] 1.0000000000 8.136546e-35 4.068273e-35
[391,] 1.0000000000 2.999178e-34 1.499589e-34
[392,] 1.0000000000 1.131037e-33 5.655185e-34
[393,] 1.0000000000 4.241987e-33 2.120994e-33
[394,] 1.0000000000 1.569523e-32 7.847617e-33
[395,] 1.0000000000 5.573554e-32 2.786777e-32
[396,] 1.0000000000 1.979327e-31 9.896635e-32
[397,] 1.0000000000 7.171423e-31 3.585712e-31
[398,] 1.0000000000 2.433935e-30 1.216968e-30
[399,] 1.0000000000 7.955272e-30 3.977636e-30
[400,] 1.0000000000 2.409614e-29 1.204807e-29
[401,] 1.0000000000 2.390336e-29 1.195168e-29
[402,] 1.0000000000 1.546067e-29 7.730335e-30
[403,] 1.0000000000 1.128152e-29 5.640760e-30
[404,] 1.0000000000 6.891378e-30 3.445689e-30
[405,] 1.0000000000 4.097730e-30 2.048865e-30
[406,] 1.0000000000 3.239951e-30 1.619975e-30
[407,] 1.0000000000 4.251843e-30 2.125921e-30
[408,] 1.0000000000 1.378128e-29 6.890642e-30
[409,] 1.0000000000 3.750121e-29 1.875061e-29
[410,] 1.0000000000 9.173311e-29 4.586655e-29
[411,] 1.0000000000 1.603323e-28 8.016615e-29
[412,] 1.0000000000 2.533209e-28 1.266604e-28
[413,] 1.0000000000 4.126375e-28 2.063188e-28
[414,] 1.0000000000 9.777191e-28 4.888595e-28
[415,] 1.0000000000 2.306934e-27 1.153467e-27
[416,] 1.0000000000 8.627358e-27 4.313679e-27
[417,] 1.0000000000 3.272919e-26 1.636460e-26
[418,] 1.0000000000 1.074630e-25 5.373148e-26
[419,] 1.0000000000 3.029765e-25 1.514883e-25
[420,] 1.0000000000 7.748488e-25 3.874244e-25
[421,] 1.0000000000 2.425362e-24 1.212681e-24
[422,] 1.0000000000 6.826373e-24 3.413186e-24
[423,] 1.0000000000 1.771510e-23 8.857550e-24
[424,] 1.0000000000 3.894320e-23 1.947160e-23
[425,] 1.0000000000 7.186012e-23 3.593006e-23
[426,] 1.0000000000 1.539434e-22 7.697172e-23
[427,] 1.0000000000 3.282689e-22 1.641344e-22
[428,] 1.0000000000 5.286182e-22 2.643091e-22
[429,] 1.0000000000 4.959243e-22 2.479622e-22
[430,] 1.0000000000 1.216395e-22 6.081975e-23
[431,] 1.0000000000 1.116152e-24 5.580761e-25
[432,] 1.0000000000 1.181772e-24 5.908861e-25
[433,] 1.0000000000 4.595804e-24 2.297902e-24
[434,] 1.0000000000 1.569703e-23 7.848515e-24
[435,] 1.0000000000 5.529235e-23 2.764617e-23
[436,] 1.0000000000 2.248515e-22 1.124258e-22
[437,] 1.0000000000 9.014920e-22 4.507460e-22
[438,] 1.0000000000 3.930941e-21 1.965471e-21
[439,] 1.0000000000 1.709589e-20 8.547945e-21
[440,] 1.0000000000 6.408618e-20 3.204309e-20
[441,] 1.0000000000 1.921927e-19 9.609634e-20
[442,] 1.0000000000 5.791555e-19 2.895777e-19
[443,] 1.0000000000 2.256463e-18 1.128232e-18
[444,] 1.0000000000 9.112242e-18 4.556121e-18
[445,] 1.0000000000 3.659606e-17 1.829803e-17
[446,] 1.0000000000 1.181028e-16 5.905138e-17
[447,] 1.0000000000 9.376474e-17 4.688237e-17
[448,] 1.0000000000 4.054078e-17 2.027039e-17
[449,] 1.0000000000 1.641145e-17 8.205725e-18
[450,] 1.0000000000 1.114286e-18 5.571430e-19
[451,] 1.0000000000 2.373841e-19 1.186920e-19
[452,] 1.0000000000 5.882430e-20 2.941215e-20
[453,] 1.0000000000 1.225813e-20 6.129063e-21
[454,] 1.0000000000 1.413604e-20 7.068020e-21
[455,] 1.0000000000 4.595829e-20 2.297915e-20
[456,] 1.0000000000 1.195438e-19 5.977189e-20
[457,] 1.0000000000 8.048818e-19 4.024409e-19
[458,] 1.0000000000 5.464866e-18 2.732433e-18
[459,] 1.0000000000 1.824283e-17 9.121417e-18
[460,] 1.0000000000 1.681314e-17 8.406569e-18
[461,] 1.0000000000 9.281967e-18 4.640983e-18
[462,] 1.0000000000 3.277106e-17 1.638553e-17
[463,] 1.0000000000 2.383790e-16 1.191895e-16
[464,] 1.0000000000 1.884364e-15 9.421818e-16
[465,] 1.0000000000 1.225616e-14 6.128079e-15
[466,] 1.0000000000 6.090087e-14 3.045043e-14
[467,] 1.0000000000 2.438464e-13 1.219232e-13
[468,] 1.0000000000 2.236338e-12 1.118169e-12
[469,] 1.0000000000 9.124981e-12 4.562490e-12
[470,] 1.0000000000 4.311212e-11 2.155606e-11
[471,] 1.0000000000 7.661610e-11 3.830805e-11
[472,] 0.9999999996 7.097622e-10 3.548811e-10
[473,] 0.9999999993 1.361633e-09 6.808164e-10
[474,] 0.9999999984 3.107004e-09 1.553502e-09
[475,] 0.9999999966 6.777357e-09 3.388679e-09
[476,] 0.9999999760 4.803148e-08 2.401574e-08
[477,] 0.9999999441 1.117465e-07 5.587323e-08
[478,] 0.9999992772 1.445661e-06 7.228304e-07
[479,] 0.9999875743 2.485138e-05 1.242569e-05
[480,] 0.9998203254 3.593491e-04 1.796746e-04
> postscript(file="/var/www/html/rcomp/tmp/1vz2k1292971268.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$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/2682n1292971268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$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/3682n1292971268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/4682n1292971268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/5682n1292971268.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 = 491
Frequency = 1
1 2 3 4 5 6
-1.974472429 -3.074064414 -3.539560020 -2.758312228 -0.856414381 -0.800857700
7 8 9 10 11 12
-0.083335145 0.058495203 0.649159359 1.232738277 1.571460707 2.190733119
13 14 15 16 17 18
2.132385220 1.556003747 1.637854559 1.833529690 1.999358703 2.353767616
19 20 21 22 23 24
3.370214399 4.504941403 5.095757759 5.662927614 5.825658268 5.963583338
25 26 27 28 29 30
5.924404754 5.560016010 5.367815981 5.199538965 4.620362971 3.869801450
31 32 33 34 35 36
3.400554659 4.006459973 4.992312904 4.555994501 4.505616386 4.474158476
37 38 39 40 41 42
4.491007404 4.216797579 3.890274953 3.405453356 3.724504266 3.926029174
43 44 45 46 47 48
3.949608896 3.301388007 3.112665931 3.607765331 2.882458259 2.615381751
49 50 51 52 53 54
2.630370813 3.015096816 2.303903850 2.456650495 2.155839395 2.392465072
55 56 57 58 59 60
2.540728663 2.402074178 2.005110914 1.736624132 2.004336859 1.749187205
61 62 63 64 65 66
1.776517655 2.223208794 1.853802367 1.770281781 1.290300871 1.183792315
67 68 69 70 71 72
0.833289914 1.089112704 1.313054050 1.071352956 0.956201741 1.044262547
73 74 75 76 77 78
1.010049275 0.821224269 1.228925937 1.777199592 1.545627392 1.276809423
79 80 81 82 83 84
1.254169918 1.383261987 1.492087331 1.146485190 0.816912861 0.515691177
85 86 87 88 89 90
0.523657927 0.552127100 0.207276227 0.059089685 0.350536660 0.315806503
91 92 93 94 95 96
0.328432880 0.685702787 0.622303123 0.358270491 0.073161499 0.014684371
97 98 99 100 101 102
0.068220318 0.019900119 -0.268528121 0.053560458 -0.217383708 -0.549040394
103 104 105 106 107 108
-0.632305031 -0.561553798 -0.683512853 -0.659078648 -0.589945995 -0.854227050
109 110 111 112 113 114
-0.649655747 -0.744179747 -0.849402382 -1.072934131 -1.001310602 -0.825796372
115 116 117 118 119 120
-0.665843946 -0.371697282 -0.324112429 -0.546352860 -0.255800559 0.148319904
121 122 123 124 125 126
-0.032008815 -0.347869918 -0.115996909 -0.053858219 -0.252883626 -0.377392271
127 128 129 130 131 132
-0.361469486 -0.125279837 0.212359873 0.247033252 0.727872070 1.225553935
133 134 135 136 137 138
2.405347917 2.747547519 1.852663507 1.351482800 1.214827359 1.178481991
139 140 141 142 143 144
-0.034464314 0.141741076 0.541126678 0.371712072 0.011817011 -0.359414602
145 146 147 148 149 150
-0.140803499 0.331313300 0.636695928 0.430244212 0.194039632 0.505205475
151 152 153 154 155 156
0.381325487 0.463954168 1.023305858 0.484421036 1.449051534 1.904329337
157 158 159 160 161 162
0.926127235 0.906950993 1.738893088 1.183335934 1.354468283 1.242203033
163 164 165 166 167 168
1.365491152 0.821917160 0.794798773 0.912716977 1.277094580 1.228199296
169 170 171 172 173 174
1.619429546 1.683515441 1.778395405 1.559513544 1.382767044 1.199015789
175 176 177 178 179 180
1.376214537 1.106242038 0.888359285 0.894563325 1.067417348 1.089618712
181 182 183 184 185 186
0.991810396 0.396057586 0.326336118 0.200851845 0.217525154 0.088705772
187 188 189 190 191 192
0.105574027 0.203046291 0.392648555 0.237324007 0.274930341 0.107974517
193 194 195 196 197 198
0.410018348 0.212237851 0.142878355 0.036546397 0.027446858 -0.096897507
199 200 201 202 203 204
-0.440685208 -0.185109008 -0.311829607 -0.472813506 -0.745709798 -0.730656346
205 206 207 208 209 210
-0.837044536 -0.908260779 -1.077781553 -1.312454612 -1.476715465 -1.259634672
211 212 213 214 215 216
-1.054494600 -1.148939932 -1.272270052 -0.886200765 -0.831251547 -1.017761696
217 218 219 220 221 222
-1.011831572 -1.235108566 -1.291817057 -1.308704715 -1.362717566 -1.276088301
223 224 225 226 227 228
-1.217525945 -1.303103906 -1.241374651 -1.259438198 -0.987643286 -0.809235886
229 230 231 232 233 234
-0.989798651 -0.889300152 -0.580778643 0.005358535 0.227858946 0.306854861
235 236 237 238 239 240
0.047365797 0.155062270 -0.168843098 -0.006688865 0.066133540 1.359033188
241 242 243 244 245 246
1.283898524 1.258936591 0.613134341 0.585747728 0.430372830 0.488380440
247 248 249 250 251 252
0.865036623 0.586317600 0.335169139 0.080919731 -0.368430368 -0.990166748
253 254 255 256 257 258
-0.966601129 -0.484321766 -0.264536356 -0.753973978 -0.806886458 -0.733875342
259 260 261 262 263 264
-0.968038517 -1.297763254 -1.382669325 -1.481995410 -1.133688266 -0.911590774
265 266 267 268 269 270
-1.227349541 -1.050177374 -0.950138175 -1.000906290 -1.137736820 -1.332466672
271 272 273 274 275 276
-0.784585475 -0.424261737 -0.063442687 -0.126174111 -0.305232930 -0.386814616
277 278 279 280 281 282
-0.375651131 -0.674711301 -0.957081491 -0.926340455 -0.356766199 -0.319198381
283 284 285 286 287 288
-0.485914388 -0.606016622 -0.806959383 -0.932638128 -0.910700965 -0.943220260
289 290 291 292 293 294
-1.235668552 -1.338371592 -1.629368690 -1.477784843 -1.351689645 -1.296184899
295 296 297 298 299 300
-1.153095226 -1.087624192 -1.217019288 -1.260373459 -1.172655244 -1.149267945
301 302 303 304 305 306
-1.381097772 -1.605131673 -1.528795824 -1.873275502 -2.026103477 -2.113811995
307 308 309 310 311 312
-2.086765409 -2.101218029 -2.268636343 -2.249363135 -2.411726607 -1.871199077
313 314 315 316 317 318
-2.092034366 -2.347265150 -2.550364482 -2.645757419 -2.511380737 -2.669992470
319 320 321 322 323 324
-2.802924992 -2.945034019 -3.206514477 -3.170761507 -2.939118519 -3.172513631
325 326 327 328 329 330
-3.297929885 -3.096235396 -3.281703489 -3.230037420 -3.135503360 -2.863756187
331 332 333 334 335 336
-3.160000964 -3.287348680 -3.240873709 -3.453319231 -3.596641159 -3.455355051
337 338 339 340 341 342
-3.375141704 -3.482455375 -3.575277068 -3.480038465 -3.475100457 -3.294161483
343 344 345 346 347 348
-2.635370056 -2.145494350 -2.712545696 -2.574232417 -3.022943197 -3.137445418
349 350 351 352 353 354
-2.880439940 -2.731559518 -2.951093926 -2.305207603 -1.472042613 -1.072676718
355 356 357 358 359 360
-1.548666823 -1.137721289 -1.649438105 -2.040938725 -2.292960073 -2.084803269
361 362 363 364 365 366
-1.746373839 -1.982531293 -2.280411729 -2.146359156 -1.613909103 -1.491769680
367 368 369 370 371 372
-1.560680036 -1.523710417 -1.741688219 -1.637111588 -1.497345718 -1.689407589
373 374 375 376 377 378
-1.966128349 -1.689626770 -2.084019782 -1.872570424 -1.785733187 -1.432114075
379 380 381 382 383 384
-1.427306874 -1.531242298 -1.328063563 -1.274320939 -0.905443645 -0.744436718
385 386 387 388 389 390
-0.786097918 -0.818573483 -0.636162256 -0.960252415 -1.114927447 -1.278052043
391 392 393 394 395 396
-1.295115154 -1.411735494 -1.235699697 -0.897584818 -0.904269212 -0.896772153
397 398 399 400 401 402
-1.124488034 -1.053218043 -1.194947956 -1.142411923 -1.225477111 -1.298328105
403 404 405 406 407 408
-1.122212868 -0.993779503 -1.091805169 -1.232633302 -1.200052036 -1.322092168
409 410 411 412 413 414
-1.195462169 -0.985313783 -1.068605664 -0.743028069 -0.677678033 -0.793680952
415 416 417 418 419 420
-0.746508800 -0.805142671 -0.804874209 -0.841901947 -0.779023487 -0.738739764
421 422 423 424 425 426
-0.356713897 -0.336940220 -0.403784571 -0.515292718 -0.546812446 -0.372270528
427 428 429 430 431 432
-0.234750066 -0.249870851 -0.343896455 -0.308033578 -0.218273705 -0.158447668
433 434 435 436 437 438
-0.126697034 -0.179410519 -0.281313227 0.016307076 -0.069247826 0.254857500
439 440 441 442 443 444
0.152501676 0.198951738 0.428665471 0.834327107 0.843631267 0.724285935
445 446 447 448 449 450
0.501659874 0.477966840 0.549132336 0.878252241 0.871362794 0.907263999
451 452 453 454 455 456
0.612224452 0.275666519 0.426787405 0.611519713 0.564094832 0.838164773
457 458 459 460 461 462
0.987107075 1.213827899 1.486350198 1.540194239 1.464804854 1.950533686
463 464 465 466 467 468
2.043865359 1.592240601 1.568427553 1.447972511 1.569065643 1.810016229
469 470 471 472 473 474
2.112452560 2.221467970 2.262989001 2.227515073 2.164061733 2.214780332
475 476 477 478 479 480
2.006347567 1.944639871 1.445106726 1.215619391 1.486340115 1.443999721
481 482 483 484 485 486
1.589280178 1.739751310 1.571635541 1.579761180 1.557372565 1.720370667
487 488 489 490 491
1.467538051 1.302821189 1.291249621 0.968954202 1.073429670
> postscript(file="/var/www/html/rcomp/tmp/6hz181292971268.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 = 491
Frequency = 1
lag(myerror, k = 1) myerror
0 -1.974472429 NA
1 -3.074064414 -1.974472429
2 -3.539560020 -3.074064414
3 -2.758312228 -3.539560020
4 -0.856414381 -2.758312228
5 -0.800857700 -0.856414381
6 -0.083335145 -0.800857700
7 0.058495203 -0.083335145
8 0.649159359 0.058495203
9 1.232738277 0.649159359
10 1.571460707 1.232738277
11 2.190733119 1.571460707
12 2.132385220 2.190733119
13 1.556003747 2.132385220
14 1.637854559 1.556003747
15 1.833529690 1.637854559
16 1.999358703 1.833529690
17 2.353767616 1.999358703
18 3.370214399 2.353767616
19 4.504941403 3.370214399
20 5.095757759 4.504941403
21 5.662927614 5.095757759
22 5.825658268 5.662927614
23 5.963583338 5.825658268
24 5.924404754 5.963583338
25 5.560016010 5.924404754
26 5.367815981 5.560016010
27 5.199538965 5.367815981
28 4.620362971 5.199538965
29 3.869801450 4.620362971
30 3.400554659 3.869801450
31 4.006459973 3.400554659
32 4.992312904 4.006459973
33 4.555994501 4.992312904
34 4.505616386 4.555994501
35 4.474158476 4.505616386
36 4.491007404 4.474158476
37 4.216797579 4.491007404
38 3.890274953 4.216797579
39 3.405453356 3.890274953
40 3.724504266 3.405453356
41 3.926029174 3.724504266
42 3.949608896 3.926029174
43 3.301388007 3.949608896
44 3.112665931 3.301388007
45 3.607765331 3.112665931
46 2.882458259 3.607765331
47 2.615381751 2.882458259
48 2.630370813 2.615381751
49 3.015096816 2.630370813
50 2.303903850 3.015096816
51 2.456650495 2.303903850
52 2.155839395 2.456650495
53 2.392465072 2.155839395
54 2.540728663 2.392465072
55 2.402074178 2.540728663
56 2.005110914 2.402074178
57 1.736624132 2.005110914
58 2.004336859 1.736624132
59 1.749187205 2.004336859
60 1.776517655 1.749187205
61 2.223208794 1.776517655
62 1.853802367 2.223208794
63 1.770281781 1.853802367
64 1.290300871 1.770281781
65 1.183792315 1.290300871
66 0.833289914 1.183792315
67 1.089112704 0.833289914
68 1.313054050 1.089112704
69 1.071352956 1.313054050
70 0.956201741 1.071352956
71 1.044262547 0.956201741
72 1.010049275 1.044262547
73 0.821224269 1.010049275
74 1.228925937 0.821224269
75 1.777199592 1.228925937
76 1.545627392 1.777199592
77 1.276809423 1.545627392
78 1.254169918 1.276809423
79 1.383261987 1.254169918
80 1.492087331 1.383261987
81 1.146485190 1.492087331
82 0.816912861 1.146485190
83 0.515691177 0.816912861
84 0.523657927 0.515691177
85 0.552127100 0.523657927
86 0.207276227 0.552127100
87 0.059089685 0.207276227
88 0.350536660 0.059089685
89 0.315806503 0.350536660
90 0.328432880 0.315806503
91 0.685702787 0.328432880
92 0.622303123 0.685702787
93 0.358270491 0.622303123
94 0.073161499 0.358270491
95 0.014684371 0.073161499
96 0.068220318 0.014684371
97 0.019900119 0.068220318
98 -0.268528121 0.019900119
99 0.053560458 -0.268528121
100 -0.217383708 0.053560458
101 -0.549040394 -0.217383708
102 -0.632305031 -0.549040394
103 -0.561553798 -0.632305031
104 -0.683512853 -0.561553798
105 -0.659078648 -0.683512853
106 -0.589945995 -0.659078648
107 -0.854227050 -0.589945995
108 -0.649655747 -0.854227050
109 -0.744179747 -0.649655747
110 -0.849402382 -0.744179747
111 -1.072934131 -0.849402382
112 -1.001310602 -1.072934131
113 -0.825796372 -1.001310602
114 -0.665843946 -0.825796372
115 -0.371697282 -0.665843946
116 -0.324112429 -0.371697282
117 -0.546352860 -0.324112429
118 -0.255800559 -0.546352860
119 0.148319904 -0.255800559
120 -0.032008815 0.148319904
121 -0.347869918 -0.032008815
122 -0.115996909 -0.347869918
123 -0.053858219 -0.115996909
124 -0.252883626 -0.053858219
125 -0.377392271 -0.252883626
126 -0.361469486 -0.377392271
127 -0.125279837 -0.361469486
128 0.212359873 -0.125279837
129 0.247033252 0.212359873
130 0.727872070 0.247033252
131 1.225553935 0.727872070
132 2.405347917 1.225553935
133 2.747547519 2.405347917
134 1.852663507 2.747547519
135 1.351482800 1.852663507
136 1.214827359 1.351482800
137 1.178481991 1.214827359
138 -0.034464314 1.178481991
139 0.141741076 -0.034464314
140 0.541126678 0.141741076
141 0.371712072 0.541126678
142 0.011817011 0.371712072
143 -0.359414602 0.011817011
144 -0.140803499 -0.359414602
145 0.331313300 -0.140803499
146 0.636695928 0.331313300
147 0.430244212 0.636695928
148 0.194039632 0.430244212
149 0.505205475 0.194039632
150 0.381325487 0.505205475
151 0.463954168 0.381325487
152 1.023305858 0.463954168
153 0.484421036 1.023305858
154 1.449051534 0.484421036
155 1.904329337 1.449051534
156 0.926127235 1.904329337
157 0.906950993 0.926127235
158 1.738893088 0.906950993
159 1.183335934 1.738893088
160 1.354468283 1.183335934
161 1.242203033 1.354468283
162 1.365491152 1.242203033
163 0.821917160 1.365491152
164 0.794798773 0.821917160
165 0.912716977 0.794798773
166 1.277094580 0.912716977
167 1.228199296 1.277094580
168 1.619429546 1.228199296
169 1.683515441 1.619429546
170 1.778395405 1.683515441
171 1.559513544 1.778395405
172 1.382767044 1.559513544
173 1.199015789 1.382767044
174 1.376214537 1.199015789
175 1.106242038 1.376214537
176 0.888359285 1.106242038
177 0.894563325 0.888359285
178 1.067417348 0.894563325
179 1.089618712 1.067417348
180 0.991810396 1.089618712
181 0.396057586 0.991810396
182 0.326336118 0.396057586
183 0.200851845 0.326336118
184 0.217525154 0.200851845
185 0.088705772 0.217525154
186 0.105574027 0.088705772
187 0.203046291 0.105574027
188 0.392648555 0.203046291
189 0.237324007 0.392648555
190 0.274930341 0.237324007
191 0.107974517 0.274930341
192 0.410018348 0.107974517
193 0.212237851 0.410018348
194 0.142878355 0.212237851
195 0.036546397 0.142878355
196 0.027446858 0.036546397
197 -0.096897507 0.027446858
198 -0.440685208 -0.096897507
199 -0.185109008 -0.440685208
200 -0.311829607 -0.185109008
201 -0.472813506 -0.311829607
202 -0.745709798 -0.472813506
203 -0.730656346 -0.745709798
204 -0.837044536 -0.730656346
205 -0.908260779 -0.837044536
206 -1.077781553 -0.908260779
207 -1.312454612 -1.077781553
208 -1.476715465 -1.312454612
209 -1.259634672 -1.476715465
210 -1.054494600 -1.259634672
211 -1.148939932 -1.054494600
212 -1.272270052 -1.148939932
213 -0.886200765 -1.272270052
214 -0.831251547 -0.886200765
215 -1.017761696 -0.831251547
216 -1.011831572 -1.017761696
217 -1.235108566 -1.011831572
218 -1.291817057 -1.235108566
219 -1.308704715 -1.291817057
220 -1.362717566 -1.308704715
221 -1.276088301 -1.362717566
222 -1.217525945 -1.276088301
223 -1.303103906 -1.217525945
224 -1.241374651 -1.303103906
225 -1.259438198 -1.241374651
226 -0.987643286 -1.259438198
227 -0.809235886 -0.987643286
228 -0.989798651 -0.809235886
229 -0.889300152 -0.989798651
230 -0.580778643 -0.889300152
231 0.005358535 -0.580778643
232 0.227858946 0.005358535
233 0.306854861 0.227858946
234 0.047365797 0.306854861
235 0.155062270 0.047365797
236 -0.168843098 0.155062270
237 -0.006688865 -0.168843098
238 0.066133540 -0.006688865
239 1.359033188 0.066133540
240 1.283898524 1.359033188
241 1.258936591 1.283898524
242 0.613134341 1.258936591
243 0.585747728 0.613134341
244 0.430372830 0.585747728
245 0.488380440 0.430372830
246 0.865036623 0.488380440
247 0.586317600 0.865036623
248 0.335169139 0.586317600
249 0.080919731 0.335169139
250 -0.368430368 0.080919731
251 -0.990166748 -0.368430368
252 -0.966601129 -0.990166748
253 -0.484321766 -0.966601129
254 -0.264536356 -0.484321766
255 -0.753973978 -0.264536356
256 -0.806886458 -0.753973978
257 -0.733875342 -0.806886458
258 -0.968038517 -0.733875342
259 -1.297763254 -0.968038517
260 -1.382669325 -1.297763254
261 -1.481995410 -1.382669325
262 -1.133688266 -1.481995410
263 -0.911590774 -1.133688266
264 -1.227349541 -0.911590774
265 -1.050177374 -1.227349541
266 -0.950138175 -1.050177374
267 -1.000906290 -0.950138175
268 -1.137736820 -1.000906290
269 -1.332466672 -1.137736820
270 -0.784585475 -1.332466672
271 -0.424261737 -0.784585475
272 -0.063442687 -0.424261737
273 -0.126174111 -0.063442687
274 -0.305232930 -0.126174111
275 -0.386814616 -0.305232930
276 -0.375651131 -0.386814616
277 -0.674711301 -0.375651131
278 -0.957081491 -0.674711301
279 -0.926340455 -0.957081491
280 -0.356766199 -0.926340455
281 -0.319198381 -0.356766199
282 -0.485914388 -0.319198381
283 -0.606016622 -0.485914388
284 -0.806959383 -0.606016622
285 -0.932638128 -0.806959383
286 -0.910700965 -0.932638128
287 -0.943220260 -0.910700965
288 -1.235668552 -0.943220260
289 -1.338371592 -1.235668552
290 -1.629368690 -1.338371592
291 -1.477784843 -1.629368690
292 -1.351689645 -1.477784843
293 -1.296184899 -1.351689645
294 -1.153095226 -1.296184899
295 -1.087624192 -1.153095226
296 -1.217019288 -1.087624192
297 -1.260373459 -1.217019288
298 -1.172655244 -1.260373459
299 -1.149267945 -1.172655244
300 -1.381097772 -1.149267945
301 -1.605131673 -1.381097772
302 -1.528795824 -1.605131673
303 -1.873275502 -1.528795824
304 -2.026103477 -1.873275502
305 -2.113811995 -2.026103477
306 -2.086765409 -2.113811995
307 -2.101218029 -2.086765409
308 -2.268636343 -2.101218029
309 -2.249363135 -2.268636343
310 -2.411726607 -2.249363135
311 -1.871199077 -2.411726607
312 -2.092034366 -1.871199077
313 -2.347265150 -2.092034366
314 -2.550364482 -2.347265150
315 -2.645757419 -2.550364482
316 -2.511380737 -2.645757419
317 -2.669992470 -2.511380737
318 -2.802924992 -2.669992470
319 -2.945034019 -2.802924992
320 -3.206514477 -2.945034019
321 -3.170761507 -3.206514477
322 -2.939118519 -3.170761507
323 -3.172513631 -2.939118519
324 -3.297929885 -3.172513631
325 -3.096235396 -3.297929885
326 -3.281703489 -3.096235396
327 -3.230037420 -3.281703489
328 -3.135503360 -3.230037420
329 -2.863756187 -3.135503360
330 -3.160000964 -2.863756187
331 -3.287348680 -3.160000964
332 -3.240873709 -3.287348680
333 -3.453319231 -3.240873709
334 -3.596641159 -3.453319231
335 -3.455355051 -3.596641159
336 -3.375141704 -3.455355051
337 -3.482455375 -3.375141704
338 -3.575277068 -3.482455375
339 -3.480038465 -3.575277068
340 -3.475100457 -3.480038465
341 -3.294161483 -3.475100457
342 -2.635370056 -3.294161483
343 -2.145494350 -2.635370056
344 -2.712545696 -2.145494350
345 -2.574232417 -2.712545696
346 -3.022943197 -2.574232417
347 -3.137445418 -3.022943197
348 -2.880439940 -3.137445418
349 -2.731559518 -2.880439940
350 -2.951093926 -2.731559518
351 -2.305207603 -2.951093926
352 -1.472042613 -2.305207603
353 -1.072676718 -1.472042613
354 -1.548666823 -1.072676718
355 -1.137721289 -1.548666823
356 -1.649438105 -1.137721289
357 -2.040938725 -1.649438105
358 -2.292960073 -2.040938725
359 -2.084803269 -2.292960073
360 -1.746373839 -2.084803269
361 -1.982531293 -1.746373839
362 -2.280411729 -1.982531293
363 -2.146359156 -2.280411729
364 -1.613909103 -2.146359156
365 -1.491769680 -1.613909103
366 -1.560680036 -1.491769680
367 -1.523710417 -1.560680036
368 -1.741688219 -1.523710417
369 -1.637111588 -1.741688219
370 -1.497345718 -1.637111588
371 -1.689407589 -1.497345718
372 -1.966128349 -1.689407589
373 -1.689626770 -1.966128349
374 -2.084019782 -1.689626770
375 -1.872570424 -2.084019782
376 -1.785733187 -1.872570424
377 -1.432114075 -1.785733187
378 -1.427306874 -1.432114075
379 -1.531242298 -1.427306874
380 -1.328063563 -1.531242298
381 -1.274320939 -1.328063563
382 -0.905443645 -1.274320939
383 -0.744436718 -0.905443645
384 -0.786097918 -0.744436718
385 -0.818573483 -0.786097918
386 -0.636162256 -0.818573483
387 -0.960252415 -0.636162256
388 -1.114927447 -0.960252415
389 -1.278052043 -1.114927447
390 -1.295115154 -1.278052043
391 -1.411735494 -1.295115154
392 -1.235699697 -1.411735494
393 -0.897584818 -1.235699697
394 -0.904269212 -0.897584818
395 -0.896772153 -0.904269212
396 -1.124488034 -0.896772153
397 -1.053218043 -1.124488034
398 -1.194947956 -1.053218043
399 -1.142411923 -1.194947956
400 -1.225477111 -1.142411923
401 -1.298328105 -1.225477111
402 -1.122212868 -1.298328105
403 -0.993779503 -1.122212868
404 -1.091805169 -0.993779503
405 -1.232633302 -1.091805169
406 -1.200052036 -1.232633302
407 -1.322092168 -1.200052036
408 -1.195462169 -1.322092168
409 -0.985313783 -1.195462169
410 -1.068605664 -0.985313783
411 -0.743028069 -1.068605664
412 -0.677678033 -0.743028069
413 -0.793680952 -0.677678033
414 -0.746508800 -0.793680952
415 -0.805142671 -0.746508800
416 -0.804874209 -0.805142671
417 -0.841901947 -0.804874209
418 -0.779023487 -0.841901947
419 -0.738739764 -0.779023487
420 -0.356713897 -0.738739764
421 -0.336940220 -0.356713897
422 -0.403784571 -0.336940220
423 -0.515292718 -0.403784571
424 -0.546812446 -0.515292718
425 -0.372270528 -0.546812446
426 -0.234750066 -0.372270528
427 -0.249870851 -0.234750066
428 -0.343896455 -0.249870851
429 -0.308033578 -0.343896455
430 -0.218273705 -0.308033578
431 -0.158447668 -0.218273705
432 -0.126697034 -0.158447668
433 -0.179410519 -0.126697034
434 -0.281313227 -0.179410519
435 0.016307076 -0.281313227
436 -0.069247826 0.016307076
437 0.254857500 -0.069247826
438 0.152501676 0.254857500
439 0.198951738 0.152501676
440 0.428665471 0.198951738
441 0.834327107 0.428665471
442 0.843631267 0.834327107
443 0.724285935 0.843631267
444 0.501659874 0.724285935
445 0.477966840 0.501659874
446 0.549132336 0.477966840
447 0.878252241 0.549132336
448 0.871362794 0.878252241
449 0.907263999 0.871362794
450 0.612224452 0.907263999
451 0.275666519 0.612224452
452 0.426787405 0.275666519
453 0.611519713 0.426787405
454 0.564094832 0.611519713
455 0.838164773 0.564094832
456 0.987107075 0.838164773
457 1.213827899 0.987107075
458 1.486350198 1.213827899
459 1.540194239 1.486350198
460 1.464804854 1.540194239
461 1.950533686 1.464804854
462 2.043865359 1.950533686
463 1.592240601 2.043865359
464 1.568427553 1.592240601
465 1.447972511 1.568427553
466 1.569065643 1.447972511
467 1.810016229 1.569065643
468 2.112452560 1.810016229
469 2.221467970 2.112452560
470 2.262989001 2.221467970
471 2.227515073 2.262989001
472 2.164061733 2.227515073
473 2.214780332 2.164061733
474 2.006347567 2.214780332
475 1.944639871 2.006347567
476 1.445106726 1.944639871
477 1.215619391 1.445106726
478 1.486340115 1.215619391
479 1.443999721 1.486340115
480 1.589280178 1.443999721
481 1.739751310 1.589280178
482 1.571635541 1.739751310
483 1.579761180 1.571635541
484 1.557372565 1.579761180
485 1.720370667 1.557372565
486 1.467538051 1.720370667
487 1.302821189 1.467538051
488 1.291249621 1.302821189
489 0.968954202 1.291249621
490 1.073429670 0.968954202
491 NA 1.073429670
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -3.074064414 -1.974472429
[2,] -3.539560020 -3.074064414
[3,] -2.758312228 -3.539560020
[4,] -0.856414381 -2.758312228
[5,] -0.800857700 -0.856414381
[6,] -0.083335145 -0.800857700
[7,] 0.058495203 -0.083335145
[8,] 0.649159359 0.058495203
[9,] 1.232738277 0.649159359
[10,] 1.571460707 1.232738277
[11,] 2.190733119 1.571460707
[12,] 2.132385220 2.190733119
[13,] 1.556003747 2.132385220
[14,] 1.637854559 1.556003747
[15,] 1.833529690 1.637854559
[16,] 1.999358703 1.833529690
[17,] 2.353767616 1.999358703
[18,] 3.370214399 2.353767616
[19,] 4.504941403 3.370214399
[20,] 5.095757759 4.504941403
[21,] 5.662927614 5.095757759
[22,] 5.825658268 5.662927614
[23,] 5.963583338 5.825658268
[24,] 5.924404754 5.963583338
[25,] 5.560016010 5.924404754
[26,] 5.367815981 5.560016010
[27,] 5.199538965 5.367815981
[28,] 4.620362971 5.199538965
[29,] 3.869801450 4.620362971
[30,] 3.400554659 3.869801450
[31,] 4.006459973 3.400554659
[32,] 4.992312904 4.006459973
[33,] 4.555994501 4.992312904
[34,] 4.505616386 4.555994501
[35,] 4.474158476 4.505616386
[36,] 4.491007404 4.474158476
[37,] 4.216797579 4.491007404
[38,] 3.890274953 4.216797579
[39,] 3.405453356 3.890274953
[40,] 3.724504266 3.405453356
[41,] 3.926029174 3.724504266
[42,] 3.949608896 3.926029174
[43,] 3.301388007 3.949608896
[44,] 3.112665931 3.301388007
[45,] 3.607765331 3.112665931
[46,] 2.882458259 3.607765331
[47,] 2.615381751 2.882458259
[48,] 2.630370813 2.615381751
[49,] 3.015096816 2.630370813
[50,] 2.303903850 3.015096816
[51,] 2.456650495 2.303903850
[52,] 2.155839395 2.456650495
[53,] 2.392465072 2.155839395
[54,] 2.540728663 2.392465072
[55,] 2.402074178 2.540728663
[56,] 2.005110914 2.402074178
[57,] 1.736624132 2.005110914
[58,] 2.004336859 1.736624132
[59,] 1.749187205 2.004336859
[60,] 1.776517655 1.749187205
[61,] 2.223208794 1.776517655
[62,] 1.853802367 2.223208794
[63,] 1.770281781 1.853802367
[64,] 1.290300871 1.770281781
[65,] 1.183792315 1.290300871
[66,] 0.833289914 1.183792315
[67,] 1.089112704 0.833289914
[68,] 1.313054050 1.089112704
[69,] 1.071352956 1.313054050
[70,] 0.956201741 1.071352956
[71,] 1.044262547 0.956201741
[72,] 1.010049275 1.044262547
[73,] 0.821224269 1.010049275
[74,] 1.228925937 0.821224269
[75,] 1.777199592 1.228925937
[76,] 1.545627392 1.777199592
[77,] 1.276809423 1.545627392
[78,] 1.254169918 1.276809423
[79,] 1.383261987 1.254169918
[80,] 1.492087331 1.383261987
[81,] 1.146485190 1.492087331
[82,] 0.816912861 1.146485190
[83,] 0.515691177 0.816912861
[84,] 0.523657927 0.515691177
[85,] 0.552127100 0.523657927
[86,] 0.207276227 0.552127100
[87,] 0.059089685 0.207276227
[88,] 0.350536660 0.059089685
[89,] 0.315806503 0.350536660
[90,] 0.328432880 0.315806503
[91,] 0.685702787 0.328432880
[92,] 0.622303123 0.685702787
[93,] 0.358270491 0.622303123
[94,] 0.073161499 0.358270491
[95,] 0.014684371 0.073161499
[96,] 0.068220318 0.014684371
[97,] 0.019900119 0.068220318
[98,] -0.268528121 0.019900119
[99,] 0.053560458 -0.268528121
[100,] -0.217383708 0.053560458
[101,] -0.549040394 -0.217383708
[102,] -0.632305031 -0.549040394
[103,] -0.561553798 -0.632305031
[104,] -0.683512853 -0.561553798
[105,] -0.659078648 -0.683512853
[106,] -0.589945995 -0.659078648
[107,] -0.854227050 -0.589945995
[108,] -0.649655747 -0.854227050
[109,] -0.744179747 -0.649655747
[110,] -0.849402382 -0.744179747
[111,] -1.072934131 -0.849402382
[112,] -1.001310602 -1.072934131
[113,] -0.825796372 -1.001310602
[114,] -0.665843946 -0.825796372
[115,] -0.371697282 -0.665843946
[116,] -0.324112429 -0.371697282
[117,] -0.546352860 -0.324112429
[118,] -0.255800559 -0.546352860
[119,] 0.148319904 -0.255800559
[120,] -0.032008815 0.148319904
[121,] -0.347869918 -0.032008815
[122,] -0.115996909 -0.347869918
[123,] -0.053858219 -0.115996909
[124,] -0.252883626 -0.053858219
[125,] -0.377392271 -0.252883626
[126,] -0.361469486 -0.377392271
[127,] -0.125279837 -0.361469486
[128,] 0.212359873 -0.125279837
[129,] 0.247033252 0.212359873
[130,] 0.727872070 0.247033252
[131,] 1.225553935 0.727872070
[132,] 2.405347917 1.225553935
[133,] 2.747547519 2.405347917
[134,] 1.852663507 2.747547519
[135,] 1.351482800 1.852663507
[136,] 1.214827359 1.351482800
[137,] 1.178481991 1.214827359
[138,] -0.034464314 1.178481991
[139,] 0.141741076 -0.034464314
[140,] 0.541126678 0.141741076
[141,] 0.371712072 0.541126678
[142,] 0.011817011 0.371712072
[143,] -0.359414602 0.011817011
[144,] -0.140803499 -0.359414602
[145,] 0.331313300 -0.140803499
[146,] 0.636695928 0.331313300
[147,] 0.430244212 0.636695928
[148,] 0.194039632 0.430244212
[149,] 0.505205475 0.194039632
[150,] 0.381325487 0.505205475
[151,] 0.463954168 0.381325487
[152,] 1.023305858 0.463954168
[153,] 0.484421036 1.023305858
[154,] 1.449051534 0.484421036
[155,] 1.904329337 1.449051534
[156,] 0.926127235 1.904329337
[157,] 0.906950993 0.926127235
[158,] 1.738893088 0.906950993
[159,] 1.183335934 1.738893088
[160,] 1.354468283 1.183335934
[161,] 1.242203033 1.354468283
[162,] 1.365491152 1.242203033
[163,] 0.821917160 1.365491152
[164,] 0.794798773 0.821917160
[165,] 0.912716977 0.794798773
[166,] 1.277094580 0.912716977
[167,] 1.228199296 1.277094580
[168,] 1.619429546 1.228199296
[169,] 1.683515441 1.619429546
[170,] 1.778395405 1.683515441
[171,] 1.559513544 1.778395405
[172,] 1.382767044 1.559513544
[173,] 1.199015789 1.382767044
[174,] 1.376214537 1.199015789
[175,] 1.106242038 1.376214537
[176,] 0.888359285 1.106242038
[177,] 0.894563325 0.888359285
[178,] 1.067417348 0.894563325
[179,] 1.089618712 1.067417348
[180,] 0.991810396 1.089618712
[181,] 0.396057586 0.991810396
[182,] 0.326336118 0.396057586
[183,] 0.200851845 0.326336118
[184,] 0.217525154 0.200851845
[185,] 0.088705772 0.217525154
[186,] 0.105574027 0.088705772
[187,] 0.203046291 0.105574027
[188,] 0.392648555 0.203046291
[189,] 0.237324007 0.392648555
[190,] 0.274930341 0.237324007
[191,] 0.107974517 0.274930341
[192,] 0.410018348 0.107974517
[193,] 0.212237851 0.410018348
[194,] 0.142878355 0.212237851
[195,] 0.036546397 0.142878355
[196,] 0.027446858 0.036546397
[197,] -0.096897507 0.027446858
[198,] -0.440685208 -0.096897507
[199,] -0.185109008 -0.440685208
[200,] -0.311829607 -0.185109008
[201,] -0.472813506 -0.311829607
[202,] -0.745709798 -0.472813506
[203,] -0.730656346 -0.745709798
[204,] -0.837044536 -0.730656346
[205,] -0.908260779 -0.837044536
[206,] -1.077781553 -0.908260779
[207,] -1.312454612 -1.077781553
[208,] -1.476715465 -1.312454612
[209,] -1.259634672 -1.476715465
[210,] -1.054494600 -1.259634672
[211,] -1.148939932 -1.054494600
[212,] -1.272270052 -1.148939932
[213,] -0.886200765 -1.272270052
[214,] -0.831251547 -0.886200765
[215,] -1.017761696 -0.831251547
[216,] -1.011831572 -1.017761696
[217,] -1.235108566 -1.011831572
[218,] -1.291817057 -1.235108566
[219,] -1.308704715 -1.291817057
[220,] -1.362717566 -1.308704715
[221,] -1.276088301 -1.362717566
[222,] -1.217525945 -1.276088301
[223,] -1.303103906 -1.217525945
[224,] -1.241374651 -1.303103906
[225,] -1.259438198 -1.241374651
[226,] -0.987643286 -1.259438198
[227,] -0.809235886 -0.987643286
[228,] -0.989798651 -0.809235886
[229,] -0.889300152 -0.989798651
[230,] -0.580778643 -0.889300152
[231,] 0.005358535 -0.580778643
[232,] 0.227858946 0.005358535
[233,] 0.306854861 0.227858946
[234,] 0.047365797 0.306854861
[235,] 0.155062270 0.047365797
[236,] -0.168843098 0.155062270
[237,] -0.006688865 -0.168843098
[238,] 0.066133540 -0.006688865
[239,] 1.359033188 0.066133540
[240,] 1.283898524 1.359033188
[241,] 1.258936591 1.283898524
[242,] 0.613134341 1.258936591
[243,] 0.585747728 0.613134341
[244,] 0.430372830 0.585747728
[245,] 0.488380440 0.430372830
[246,] 0.865036623 0.488380440
[247,] 0.586317600 0.865036623
[248,] 0.335169139 0.586317600
[249,] 0.080919731 0.335169139
[250,] -0.368430368 0.080919731
[251,] -0.990166748 -0.368430368
[252,] -0.966601129 -0.990166748
[253,] -0.484321766 -0.966601129
[254,] -0.264536356 -0.484321766
[255,] -0.753973978 -0.264536356
[256,] -0.806886458 -0.753973978
[257,] -0.733875342 -0.806886458
[258,] -0.968038517 -0.733875342
[259,] -1.297763254 -0.968038517
[260,] -1.382669325 -1.297763254
[261,] -1.481995410 -1.382669325
[262,] -1.133688266 -1.481995410
[263,] -0.911590774 -1.133688266
[264,] -1.227349541 -0.911590774
[265,] -1.050177374 -1.227349541
[266,] -0.950138175 -1.050177374
[267,] -1.000906290 -0.950138175
[268,] -1.137736820 -1.000906290
[269,] -1.332466672 -1.137736820
[270,] -0.784585475 -1.332466672
[271,] -0.424261737 -0.784585475
[272,] -0.063442687 -0.424261737
[273,] -0.126174111 -0.063442687
[274,] -0.305232930 -0.126174111
[275,] -0.386814616 -0.305232930
[276,] -0.375651131 -0.386814616
[277,] -0.674711301 -0.375651131
[278,] -0.957081491 -0.674711301
[279,] -0.926340455 -0.957081491
[280,] -0.356766199 -0.926340455
[281,] -0.319198381 -0.356766199
[282,] -0.485914388 -0.319198381
[283,] -0.606016622 -0.485914388
[284,] -0.806959383 -0.606016622
[285,] -0.932638128 -0.806959383
[286,] -0.910700965 -0.932638128
[287,] -0.943220260 -0.910700965
[288,] -1.235668552 -0.943220260
[289,] -1.338371592 -1.235668552
[290,] -1.629368690 -1.338371592
[291,] -1.477784843 -1.629368690
[292,] -1.351689645 -1.477784843
[293,] -1.296184899 -1.351689645
[294,] -1.153095226 -1.296184899
[295,] -1.087624192 -1.153095226
[296,] -1.217019288 -1.087624192
[297,] -1.260373459 -1.217019288
[298,] -1.172655244 -1.260373459
[299,] -1.149267945 -1.172655244
[300,] -1.381097772 -1.149267945
[301,] -1.605131673 -1.381097772
[302,] -1.528795824 -1.605131673
[303,] -1.873275502 -1.528795824
[304,] -2.026103477 -1.873275502
[305,] -2.113811995 -2.026103477
[306,] -2.086765409 -2.113811995
[307,] -2.101218029 -2.086765409
[308,] -2.268636343 -2.101218029
[309,] -2.249363135 -2.268636343
[310,] -2.411726607 -2.249363135
[311,] -1.871199077 -2.411726607
[312,] -2.092034366 -1.871199077
[313,] -2.347265150 -2.092034366
[314,] -2.550364482 -2.347265150
[315,] -2.645757419 -2.550364482
[316,] -2.511380737 -2.645757419
[317,] -2.669992470 -2.511380737
[318,] -2.802924992 -2.669992470
[319,] -2.945034019 -2.802924992
[320,] -3.206514477 -2.945034019
[321,] -3.170761507 -3.206514477
[322,] -2.939118519 -3.170761507
[323,] -3.172513631 -2.939118519
[324,] -3.297929885 -3.172513631
[325,] -3.096235396 -3.297929885
[326,] -3.281703489 -3.096235396
[327,] -3.230037420 -3.281703489
[328,] -3.135503360 -3.230037420
[329,] -2.863756187 -3.135503360
[330,] -3.160000964 -2.863756187
[331,] -3.287348680 -3.160000964
[332,] -3.240873709 -3.287348680
[333,] -3.453319231 -3.240873709
[334,] -3.596641159 -3.453319231
[335,] -3.455355051 -3.596641159
[336,] -3.375141704 -3.455355051
[337,] -3.482455375 -3.375141704
[338,] -3.575277068 -3.482455375
[339,] -3.480038465 -3.575277068
[340,] -3.475100457 -3.480038465
[341,] -3.294161483 -3.475100457
[342,] -2.635370056 -3.294161483
[343,] -2.145494350 -2.635370056
[344,] -2.712545696 -2.145494350
[345,] -2.574232417 -2.712545696
[346,] -3.022943197 -2.574232417
[347,] -3.137445418 -3.022943197
[348,] -2.880439940 -3.137445418
[349,] -2.731559518 -2.880439940
[350,] -2.951093926 -2.731559518
[351,] -2.305207603 -2.951093926
[352,] -1.472042613 -2.305207603
[353,] -1.072676718 -1.472042613
[354,] -1.548666823 -1.072676718
[355,] -1.137721289 -1.548666823
[356,] -1.649438105 -1.137721289
[357,] -2.040938725 -1.649438105
[358,] -2.292960073 -2.040938725
[359,] -2.084803269 -2.292960073
[360,] -1.746373839 -2.084803269
[361,] -1.982531293 -1.746373839
[362,] -2.280411729 -1.982531293
[363,] -2.146359156 -2.280411729
[364,] -1.613909103 -2.146359156
[365,] -1.491769680 -1.613909103
[366,] -1.560680036 -1.491769680
[367,] -1.523710417 -1.560680036
[368,] -1.741688219 -1.523710417
[369,] -1.637111588 -1.741688219
[370,] -1.497345718 -1.637111588
[371,] -1.689407589 -1.497345718
[372,] -1.966128349 -1.689407589
[373,] -1.689626770 -1.966128349
[374,] -2.084019782 -1.689626770
[375,] -1.872570424 -2.084019782
[376,] -1.785733187 -1.872570424
[377,] -1.432114075 -1.785733187
[378,] -1.427306874 -1.432114075
[379,] -1.531242298 -1.427306874
[380,] -1.328063563 -1.531242298
[381,] -1.274320939 -1.328063563
[382,] -0.905443645 -1.274320939
[383,] -0.744436718 -0.905443645
[384,] -0.786097918 -0.744436718
[385,] -0.818573483 -0.786097918
[386,] -0.636162256 -0.818573483
[387,] -0.960252415 -0.636162256
[388,] -1.114927447 -0.960252415
[389,] -1.278052043 -1.114927447
[390,] -1.295115154 -1.278052043
[391,] -1.411735494 -1.295115154
[392,] -1.235699697 -1.411735494
[393,] -0.897584818 -1.235699697
[394,] -0.904269212 -0.897584818
[395,] -0.896772153 -0.904269212
[396,] -1.124488034 -0.896772153
[397,] -1.053218043 -1.124488034
[398,] -1.194947956 -1.053218043
[399,] -1.142411923 -1.194947956
[400,] -1.225477111 -1.142411923
[401,] -1.298328105 -1.225477111
[402,] -1.122212868 -1.298328105
[403,] -0.993779503 -1.122212868
[404,] -1.091805169 -0.993779503
[405,] -1.232633302 -1.091805169
[406,] -1.200052036 -1.232633302
[407,] -1.322092168 -1.200052036
[408,] -1.195462169 -1.322092168
[409,] -0.985313783 -1.195462169
[410,] -1.068605664 -0.985313783
[411,] -0.743028069 -1.068605664
[412,] -0.677678033 -0.743028069
[413,] -0.793680952 -0.677678033
[414,] -0.746508800 -0.793680952
[415,] -0.805142671 -0.746508800
[416,] -0.804874209 -0.805142671
[417,] -0.841901947 -0.804874209
[418,] -0.779023487 -0.841901947
[419,] -0.738739764 -0.779023487
[420,] -0.356713897 -0.738739764
[421,] -0.336940220 -0.356713897
[422,] -0.403784571 -0.336940220
[423,] -0.515292718 -0.403784571
[424,] -0.546812446 -0.515292718
[425,] -0.372270528 -0.546812446
[426,] -0.234750066 -0.372270528
[427,] -0.249870851 -0.234750066
[428,] -0.343896455 -0.249870851
[429,] -0.308033578 -0.343896455
[430,] -0.218273705 -0.308033578
[431,] -0.158447668 -0.218273705
[432,] -0.126697034 -0.158447668
[433,] -0.179410519 -0.126697034
[434,] -0.281313227 -0.179410519
[435,] 0.016307076 -0.281313227
[436,] -0.069247826 0.016307076
[437,] 0.254857500 -0.069247826
[438,] 0.152501676 0.254857500
[439,] 0.198951738 0.152501676
[440,] 0.428665471 0.198951738
[441,] 0.834327107 0.428665471
[442,] 0.843631267 0.834327107
[443,] 0.724285935 0.843631267
[444,] 0.501659874 0.724285935
[445,] 0.477966840 0.501659874
[446,] 0.549132336 0.477966840
[447,] 0.878252241 0.549132336
[448,] 0.871362794 0.878252241
[449,] 0.907263999 0.871362794
[450,] 0.612224452 0.907263999
[451,] 0.275666519 0.612224452
[452,] 0.426787405 0.275666519
[453,] 0.611519713 0.426787405
[454,] 0.564094832 0.611519713
[455,] 0.838164773 0.564094832
[456,] 0.987107075 0.838164773
[457,] 1.213827899 0.987107075
[458,] 1.486350198 1.213827899
[459,] 1.540194239 1.486350198
[460,] 1.464804854 1.540194239
[461,] 1.950533686 1.464804854
[462,] 2.043865359 1.950533686
[463,] 1.592240601 2.043865359
[464,] 1.568427553 1.592240601
[465,] 1.447972511 1.568427553
[466,] 1.569065643 1.447972511
[467,] 1.810016229 1.569065643
[468,] 2.112452560 1.810016229
[469,] 2.221467970 2.112452560
[470,] 2.262989001 2.221467970
[471,] 2.227515073 2.262989001
[472,] 2.164061733 2.227515073
[473,] 2.214780332 2.164061733
[474,] 2.006347567 2.214780332
[475,] 1.944639871 2.006347567
[476,] 1.445106726 1.944639871
[477,] 1.215619391 1.445106726
[478,] 1.486340115 1.215619391
[479,] 1.443999721 1.486340115
[480,] 1.589280178 1.443999721
[481,] 1.739751310 1.589280178
[482,] 1.571635541 1.739751310
[483,] 1.579761180 1.571635541
[484,] 1.557372565 1.579761180
[485,] 1.720370667 1.557372565
[486,] 1.467538051 1.720370667
[487,] 1.302821189 1.467538051
[488,] 1.291249621 1.302821189
[489,] 0.968954202 1.291249621
[490,] 1.073429670 0.968954202
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -3.074064414 -1.974472429
2 -3.539560020 -3.074064414
3 -2.758312228 -3.539560020
4 -0.856414381 -2.758312228
5 -0.800857700 -0.856414381
6 -0.083335145 -0.800857700
7 0.058495203 -0.083335145
8 0.649159359 0.058495203
9 1.232738277 0.649159359
10 1.571460707 1.232738277
11 2.190733119 1.571460707
12 2.132385220 2.190733119
13 1.556003747 2.132385220
14 1.637854559 1.556003747
15 1.833529690 1.637854559
16 1.999358703 1.833529690
17 2.353767616 1.999358703
18 3.370214399 2.353767616
19 4.504941403 3.370214399
20 5.095757759 4.504941403
21 5.662927614 5.095757759
22 5.825658268 5.662927614
23 5.963583338 5.825658268
24 5.924404754 5.963583338
25 5.560016010 5.924404754
26 5.367815981 5.560016010
27 5.199538965 5.367815981
28 4.620362971 5.199538965
29 3.869801450 4.620362971
30 3.400554659 3.869801450
31 4.006459973 3.400554659
32 4.992312904 4.006459973
33 4.555994501 4.992312904
34 4.505616386 4.555994501
35 4.474158476 4.505616386
36 4.491007404 4.474158476
37 4.216797579 4.491007404
38 3.890274953 4.216797579
39 3.405453356 3.890274953
40 3.724504266 3.405453356
41 3.926029174 3.724504266
42 3.949608896 3.926029174
43 3.301388007 3.949608896
44 3.112665931 3.301388007
45 3.607765331 3.112665931
46 2.882458259 3.607765331
47 2.615381751 2.882458259
48 2.630370813 2.615381751
49 3.015096816 2.630370813
50 2.303903850 3.015096816
51 2.456650495 2.303903850
52 2.155839395 2.456650495
53 2.392465072 2.155839395
54 2.540728663 2.392465072
55 2.402074178 2.540728663
56 2.005110914 2.402074178
57 1.736624132 2.005110914
58 2.004336859 1.736624132
59 1.749187205 2.004336859
60 1.776517655 1.749187205
61 2.223208794 1.776517655
62 1.853802367 2.223208794
63 1.770281781 1.853802367
64 1.290300871 1.770281781
65 1.183792315 1.290300871
66 0.833289914 1.183792315
67 1.089112704 0.833289914
68 1.313054050 1.089112704
69 1.071352956 1.313054050
70 0.956201741 1.071352956
71 1.044262547 0.956201741
72 1.010049275 1.044262547
73 0.821224269 1.010049275
74 1.228925937 0.821224269
75 1.777199592 1.228925937
76 1.545627392 1.777199592
77 1.276809423 1.545627392
78 1.254169918 1.276809423
79 1.383261987 1.254169918
80 1.492087331 1.383261987
81 1.146485190 1.492087331
82 0.816912861 1.146485190
83 0.515691177 0.816912861
84 0.523657927 0.515691177
85 0.552127100 0.523657927
86 0.207276227 0.552127100
87 0.059089685 0.207276227
88 0.350536660 0.059089685
89 0.315806503 0.350536660
90 0.328432880 0.315806503
91 0.685702787 0.328432880
92 0.622303123 0.685702787
93 0.358270491 0.622303123
94 0.073161499 0.358270491
95 0.014684371 0.073161499
96 0.068220318 0.014684371
97 0.019900119 0.068220318
98 -0.268528121 0.019900119
99 0.053560458 -0.268528121
100 -0.217383708 0.053560458
101 -0.549040394 -0.217383708
102 -0.632305031 -0.549040394
103 -0.561553798 -0.632305031
104 -0.683512853 -0.561553798
105 -0.659078648 -0.683512853
106 -0.589945995 -0.659078648
107 -0.854227050 -0.589945995
108 -0.649655747 -0.854227050
109 -0.744179747 -0.649655747
110 -0.849402382 -0.744179747
111 -1.072934131 -0.849402382
112 -1.001310602 -1.072934131
113 -0.825796372 -1.001310602
114 -0.665843946 -0.825796372
115 -0.371697282 -0.665843946
116 -0.324112429 -0.371697282
117 -0.546352860 -0.324112429
118 -0.255800559 -0.546352860
119 0.148319904 -0.255800559
120 -0.032008815 0.148319904
121 -0.347869918 -0.032008815
122 -0.115996909 -0.347869918
123 -0.053858219 -0.115996909
124 -0.252883626 -0.053858219
125 -0.377392271 -0.252883626
126 -0.361469486 -0.377392271
127 -0.125279837 -0.361469486
128 0.212359873 -0.125279837
129 0.247033252 0.212359873
130 0.727872070 0.247033252
131 1.225553935 0.727872070
132 2.405347917 1.225553935
133 2.747547519 2.405347917
134 1.852663507 2.747547519
135 1.351482800 1.852663507
136 1.214827359 1.351482800
137 1.178481991 1.214827359
138 -0.034464314 1.178481991
139 0.141741076 -0.034464314
140 0.541126678 0.141741076
141 0.371712072 0.541126678
142 0.011817011 0.371712072
143 -0.359414602 0.011817011
144 -0.140803499 -0.359414602
145 0.331313300 -0.140803499
146 0.636695928 0.331313300
147 0.430244212 0.636695928
148 0.194039632 0.430244212
149 0.505205475 0.194039632
150 0.381325487 0.505205475
151 0.463954168 0.381325487
152 1.023305858 0.463954168
153 0.484421036 1.023305858
154 1.449051534 0.484421036
155 1.904329337 1.449051534
156 0.926127235 1.904329337
157 0.906950993 0.926127235
158 1.738893088 0.906950993
159 1.183335934 1.738893088
160 1.354468283 1.183335934
161 1.242203033 1.354468283
162 1.365491152 1.242203033
163 0.821917160 1.365491152
164 0.794798773 0.821917160
165 0.912716977 0.794798773
166 1.277094580 0.912716977
167 1.228199296 1.277094580
168 1.619429546 1.228199296
169 1.683515441 1.619429546
170 1.778395405 1.683515441
171 1.559513544 1.778395405
172 1.382767044 1.559513544
173 1.199015789 1.382767044
174 1.376214537 1.199015789
175 1.106242038 1.376214537
176 0.888359285 1.106242038
177 0.894563325 0.888359285
178 1.067417348 0.894563325
179 1.089618712 1.067417348
180 0.991810396 1.089618712
181 0.396057586 0.991810396
182 0.326336118 0.396057586
183 0.200851845 0.326336118
184 0.217525154 0.200851845
185 0.088705772 0.217525154
186 0.105574027 0.088705772
187 0.203046291 0.105574027
188 0.392648555 0.203046291
189 0.237324007 0.392648555
190 0.274930341 0.237324007
191 0.107974517 0.274930341
192 0.410018348 0.107974517
193 0.212237851 0.410018348
194 0.142878355 0.212237851
195 0.036546397 0.142878355
196 0.027446858 0.036546397
197 -0.096897507 0.027446858
198 -0.440685208 -0.096897507
199 -0.185109008 -0.440685208
200 -0.311829607 -0.185109008
201 -0.472813506 -0.311829607
202 -0.745709798 -0.472813506
203 -0.730656346 -0.745709798
204 -0.837044536 -0.730656346
205 -0.908260779 -0.837044536
206 -1.077781553 -0.908260779
207 -1.312454612 -1.077781553
208 -1.476715465 -1.312454612
209 -1.259634672 -1.476715465
210 -1.054494600 -1.259634672
211 -1.148939932 -1.054494600
212 -1.272270052 -1.148939932
213 -0.886200765 -1.272270052
214 -0.831251547 -0.886200765
215 -1.017761696 -0.831251547
216 -1.011831572 -1.017761696
217 -1.235108566 -1.011831572
218 -1.291817057 -1.235108566
219 -1.308704715 -1.291817057
220 -1.362717566 -1.308704715
221 -1.276088301 -1.362717566
222 -1.217525945 -1.276088301
223 -1.303103906 -1.217525945
224 -1.241374651 -1.303103906
225 -1.259438198 -1.241374651
226 -0.987643286 -1.259438198
227 -0.809235886 -0.987643286
228 -0.989798651 -0.809235886
229 -0.889300152 -0.989798651
230 -0.580778643 -0.889300152
231 0.005358535 -0.580778643
232 0.227858946 0.005358535
233 0.306854861 0.227858946
234 0.047365797 0.306854861
235 0.155062270 0.047365797
236 -0.168843098 0.155062270
237 -0.006688865 -0.168843098
238 0.066133540 -0.006688865
239 1.359033188 0.066133540
240 1.283898524 1.359033188
241 1.258936591 1.283898524
242 0.613134341 1.258936591
243 0.585747728 0.613134341
244 0.430372830 0.585747728
245 0.488380440 0.430372830
246 0.865036623 0.488380440
247 0.586317600 0.865036623
248 0.335169139 0.586317600
249 0.080919731 0.335169139
250 -0.368430368 0.080919731
251 -0.990166748 -0.368430368
252 -0.966601129 -0.990166748
253 -0.484321766 -0.966601129
254 -0.264536356 -0.484321766
255 -0.753973978 -0.264536356
256 -0.806886458 -0.753973978
257 -0.733875342 -0.806886458
258 -0.968038517 -0.733875342
259 -1.297763254 -0.968038517
260 -1.382669325 -1.297763254
261 -1.481995410 -1.382669325
262 -1.133688266 -1.481995410
263 -0.911590774 -1.133688266
264 -1.227349541 -0.911590774
265 -1.050177374 -1.227349541
266 -0.950138175 -1.050177374
267 -1.000906290 -0.950138175
268 -1.137736820 -1.000906290
269 -1.332466672 -1.137736820
270 -0.784585475 -1.332466672
271 -0.424261737 -0.784585475
272 -0.063442687 -0.424261737
273 -0.126174111 -0.063442687
274 -0.305232930 -0.126174111
275 -0.386814616 -0.305232930
276 -0.375651131 -0.386814616
277 -0.674711301 -0.375651131
278 -0.957081491 -0.674711301
279 -0.926340455 -0.957081491
280 -0.356766199 -0.926340455
281 -0.319198381 -0.356766199
282 -0.485914388 -0.319198381
283 -0.606016622 -0.485914388
284 -0.806959383 -0.606016622
285 -0.932638128 -0.806959383
286 -0.910700965 -0.932638128
287 -0.943220260 -0.910700965
288 -1.235668552 -0.943220260
289 -1.338371592 -1.235668552
290 -1.629368690 -1.338371592
291 -1.477784843 -1.629368690
292 -1.351689645 -1.477784843
293 -1.296184899 -1.351689645
294 -1.153095226 -1.296184899
295 -1.087624192 -1.153095226
296 -1.217019288 -1.087624192
297 -1.260373459 -1.217019288
298 -1.172655244 -1.260373459
299 -1.149267945 -1.172655244
300 -1.381097772 -1.149267945
301 -1.605131673 -1.381097772
302 -1.528795824 -1.605131673
303 -1.873275502 -1.528795824
304 -2.026103477 -1.873275502
305 -2.113811995 -2.026103477
306 -2.086765409 -2.113811995
307 -2.101218029 -2.086765409
308 -2.268636343 -2.101218029
309 -2.249363135 -2.268636343
310 -2.411726607 -2.249363135
311 -1.871199077 -2.411726607
312 -2.092034366 -1.871199077
313 -2.347265150 -2.092034366
314 -2.550364482 -2.347265150
315 -2.645757419 -2.550364482
316 -2.511380737 -2.645757419
317 -2.669992470 -2.511380737
318 -2.802924992 -2.669992470
319 -2.945034019 -2.802924992
320 -3.206514477 -2.945034019
321 -3.170761507 -3.206514477
322 -2.939118519 -3.170761507
323 -3.172513631 -2.939118519
324 -3.297929885 -3.172513631
325 -3.096235396 -3.297929885
326 -3.281703489 -3.096235396
327 -3.230037420 -3.281703489
328 -3.135503360 -3.230037420
329 -2.863756187 -3.135503360
330 -3.160000964 -2.863756187
331 -3.287348680 -3.160000964
332 -3.240873709 -3.287348680
333 -3.453319231 -3.240873709
334 -3.596641159 -3.453319231
335 -3.455355051 -3.596641159
336 -3.375141704 -3.455355051
337 -3.482455375 -3.375141704
338 -3.575277068 -3.482455375
339 -3.480038465 -3.575277068
340 -3.475100457 -3.480038465
341 -3.294161483 -3.475100457
342 -2.635370056 -3.294161483
343 -2.145494350 -2.635370056
344 -2.712545696 -2.145494350
345 -2.574232417 -2.712545696
346 -3.022943197 -2.574232417
347 -3.137445418 -3.022943197
348 -2.880439940 -3.137445418
349 -2.731559518 -2.880439940
350 -2.951093926 -2.731559518
351 -2.305207603 -2.951093926
352 -1.472042613 -2.305207603
353 -1.072676718 -1.472042613
354 -1.548666823 -1.072676718
355 -1.137721289 -1.548666823
356 -1.649438105 -1.137721289
357 -2.040938725 -1.649438105
358 -2.292960073 -2.040938725
359 -2.084803269 -2.292960073
360 -1.746373839 -2.084803269
361 -1.982531293 -1.746373839
362 -2.280411729 -1.982531293
363 -2.146359156 -2.280411729
364 -1.613909103 -2.146359156
365 -1.491769680 -1.613909103
366 -1.560680036 -1.491769680
367 -1.523710417 -1.560680036
368 -1.741688219 -1.523710417
369 -1.637111588 -1.741688219
370 -1.497345718 -1.637111588
371 -1.689407589 -1.497345718
372 -1.966128349 -1.689407589
373 -1.689626770 -1.966128349
374 -2.084019782 -1.689626770
375 -1.872570424 -2.084019782
376 -1.785733187 -1.872570424
377 -1.432114075 -1.785733187
378 -1.427306874 -1.432114075
379 -1.531242298 -1.427306874
380 -1.328063563 -1.531242298
381 -1.274320939 -1.328063563
382 -0.905443645 -1.274320939
383 -0.744436718 -0.905443645
384 -0.786097918 -0.744436718
385 -0.818573483 -0.786097918
386 -0.636162256 -0.818573483
387 -0.960252415 -0.636162256
388 -1.114927447 -0.960252415
389 -1.278052043 -1.114927447
390 -1.295115154 -1.278052043
391 -1.411735494 -1.295115154
392 -1.235699697 -1.411735494
393 -0.897584818 -1.235699697
394 -0.904269212 -0.897584818
395 -0.896772153 -0.904269212
396 -1.124488034 -0.896772153
397 -1.053218043 -1.124488034
398 -1.194947956 -1.053218043
399 -1.142411923 -1.194947956
400 -1.225477111 -1.142411923
401 -1.298328105 -1.225477111
402 -1.122212868 -1.298328105
403 -0.993779503 -1.122212868
404 -1.091805169 -0.993779503
405 -1.232633302 -1.091805169
406 -1.200052036 -1.232633302
407 -1.322092168 -1.200052036
408 -1.195462169 -1.322092168
409 -0.985313783 -1.195462169
410 -1.068605664 -0.985313783
411 -0.743028069 -1.068605664
412 -0.677678033 -0.743028069
413 -0.793680952 -0.677678033
414 -0.746508800 -0.793680952
415 -0.805142671 -0.746508800
416 -0.804874209 -0.805142671
417 -0.841901947 -0.804874209
418 -0.779023487 -0.841901947
419 -0.738739764 -0.779023487
420 -0.356713897 -0.738739764
421 -0.336940220 -0.356713897
422 -0.403784571 -0.336940220
423 -0.515292718 -0.403784571
424 -0.546812446 -0.515292718
425 -0.372270528 -0.546812446
426 -0.234750066 -0.372270528
427 -0.249870851 -0.234750066
428 -0.343896455 -0.249870851
429 -0.308033578 -0.343896455
430 -0.218273705 -0.308033578
431 -0.158447668 -0.218273705
432 -0.126697034 -0.158447668
433 -0.179410519 -0.126697034
434 -0.281313227 -0.179410519
435 0.016307076 -0.281313227
436 -0.069247826 0.016307076
437 0.254857500 -0.069247826
438 0.152501676 0.254857500
439 0.198951738 0.152501676
440 0.428665471 0.198951738
441 0.834327107 0.428665471
442 0.843631267 0.834327107
443 0.724285935 0.843631267
444 0.501659874 0.724285935
445 0.477966840 0.501659874
446 0.549132336 0.477966840
447 0.878252241 0.549132336
448 0.871362794 0.878252241
449 0.907263999 0.871362794
450 0.612224452 0.907263999
451 0.275666519 0.612224452
452 0.426787405 0.275666519
453 0.611519713 0.426787405
454 0.564094832 0.611519713
455 0.838164773 0.564094832
456 0.987107075 0.838164773
457 1.213827899 0.987107075
458 1.486350198 1.213827899
459 1.540194239 1.486350198
460 1.464804854 1.540194239
461 1.950533686 1.464804854
462 2.043865359 1.950533686
463 1.592240601 2.043865359
464 1.568427553 1.592240601
465 1.447972511 1.568427553
466 1.569065643 1.447972511
467 1.810016229 1.569065643
468 2.112452560 1.810016229
469 2.221467970 2.112452560
470 2.262989001 2.221467970
471 2.227515073 2.262989001
472 2.164061733 2.227515073
473 2.214780332 2.164061733
474 2.006347567 2.214780332
475 1.944639871 2.006347567
476 1.445106726 1.944639871
477 1.215619391 1.445106726
478 1.486340115 1.215619391
479 1.443999721 1.486340115
480 1.589280178 1.443999721
481 1.739751310 1.589280178
482 1.571635541 1.739751310
483 1.579761180 1.571635541
484 1.557372565 1.579761180
485 1.720370667 1.557372565
486 1.467538051 1.720370667
487 1.302821189 1.467538051
488 1.291249621 1.302821189
489 0.968954202 1.291249621
490 1.073429670 0.968954202
> 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/7rr0b1292971268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/8rr0b1292971268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/html/rcomp/tmp/9k0he1292971268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/www/html/rcomp/tmp/10k0he1292971268.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$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/116jyj1292971268.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/12r1w71292971268.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/13y2t11292971268.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/14qcb41292971268.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/15cc9a1292971268.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/16iwrv1292971269.tab")
+ }
>
> try(system("convert tmp/1vz2k1292971268.ps tmp/1vz2k1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/2682n1292971268.ps tmp/2682n1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/3682n1292971268.ps tmp/3682n1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/4682n1292971268.ps tmp/4682n1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/5682n1292971268.ps tmp/5682n1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/6hz181292971268.ps tmp/6hz181292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/7rr0b1292971268.ps tmp/7rr0b1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/8rr0b1292971268.ps tmp/8rr0b1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/9k0he1292971268.ps tmp/9k0he1292971268.png",intern=TRUE))
character(0)
> try(system("convert tmp/10k0he1292971268.ps tmp/10k0he1292971268.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
13.703 2.390 37.805