R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)
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+ ,0
+ ,1
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+ ,4
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,1
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,1
+ ,0
+ ,0
+ ,2
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,1
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0)
+ ,dim=c(20
+ ,521)
+ ,dimnames=list(c('y'
+ ,'c2'
+ ,'scha05'
+ ,'sch06'
+ ,'sch31'
+ ,'sch00'
+ ,'sch53'
+ ,'sch16'
+ ,'sch41'
+ ,'sch17'
+ ,'sch40'
+ ,'sch10'
+ ,'sch01'
+ ,'hak3'
+ ,'hak5'
+ ,'hak0'
+ ,'hak6'
+ ,'hak8'
+ ,'hak7'
+ ,'hak4')
+ ,1:521))
> y <- array(NA,dim=c(20,521),dimnames=list(c('y','c2','scha05','sch06','sch31','sch00','sch53','sch16','sch41','sch17','sch40','sch10','sch01','hak3','hak5','hak0','hak6','hak8','hak7','hak4'),1:521))
> for (i in 1:dim(x)[1])
+ {
+ for (j in 1:dim(x)[2])
+ {
+ y[i,j] <- as.numeric(x[i,j])
+ }
+ }
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = 'No Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '1'
> library(lattice)
> library(lmtest)
Loading required package: zoo
Attaching package: 'zoo'
The following object(s) are masked from 'package:base':
as.Date, 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
y c2 scha05 sch06 sch31 sch00 sch53 sch16 sch41 sch17 sch40 sch10 sch01
1 8 1 1 0 0 0 0 0 0 0 0 0 0
2 9 1 1 0 0 0 0 0 0 0 0 0 0
3 8 1 0 1 0 0 0 0 0 0 0 0 0
4 5 1 0 0 1 0 0 0 0 0 0 0 0
5 3 1 0 0 0 1 0 0 0 0 0 0 0
6 4 0 0 0 0 0 1 0 0 0 0 0 0
7 2 0 0 0 0 0 1 0 0 0 0 0 0
8 1 0 0 0 0 0 0 1 0 0 0 0 0
9 3 0 0 0 0 0 0 1 0 0 0 0 0
10 6 0 0 0 0 0 0 1 0 0 0 0 0
11 1 0 0 0 0 0 0 1 0 0 0 0 0
12 5 0 0 0 0 0 1 0 0 0 0 0 0
13 0 0 0 0 0 0 0 0 1 0 0 0 0
14 1 0 0 0 0 0 0 0 1 0 0 0 0
15 5 0 1 0 0 0 0 0 0 0 0 0 0
16 2 0 0 0 0 0 0 0 0 1 0 0 0
17 5 0 0 0 0 0 0 0 1 0 0 0 0
18 2 0 0 0 0 0 0 0 0 0 1 0 0
19 2 0 0 0 0 0 0 0 0 0 1 0 0
20 0 0 0 0 0 0 0 0 0 0 0 1 0
21 3 0 0 0 0 0 0 0 1 0 0 0 0
22 2 0 0 0 0 0 0 0 0 0 1 0 0
23 2 0 0 0 0 0 0 0 0 1 0 0 0
24 2 0 0 0 0 0 0 0 1 0 0 0 0
25 2 0 0 0 0 0 0 0 0 0 0 0 0
26 3 0 0 0 0 0 0 0 0 0 1 0 0
27 2 0 0 0 0 0 0 0 0 0 1 0 0
28 0 0 0 0 0 0 0 0 1 0 0 0 0
29 1 0 0 0 0 0 0 0 1 0 0 0 0
30 7 1 1 0 0 0 0 0 0 0 0 0 0
31 3 1 0 0 0 0 0 0 0 0 0 1 0
32 2 1 0 0 0 0 0 0 0 0 0 1 0
33 4 1 1 0 0 0 0 0 0 0 0 0 0
34 2 1 1 0 0 0 0 0 0 0 0 0 0
35 4 1 1 0 0 0 0 0 0 0 0 0 0
36 0 1 0 0 0 0 0 0 0 0 0 0 1
37 0 1 0 0 0 0 0 0 0 0 0 0 1
38 2 1 0 0 0 0 0 0 0 0 0 0 1
39 3 1 0 0 0 0 0 0 0 0 0 0 1
40 3 1 0 0 0 0 0 0 0 0 0 0 1
41 14 0 0 0 0 0 1 0 0 0 0 0 0
42 13 0 0 0 0 0 1 0 0 0 0 0 0
43 2 0 0 0 0 0 1 0 0 0 0 0 0
44 5 0 0 1 0 0 0 0 0 0 0 0 0
45 2 0 0 0 0 0 1 0 0 0 0 0 0
46 5 0 0 1 0 0 0 0 0 0 0 0 0
47 2 0 0 1 0 0 0 0 0 0 0 0 0
48 3 0 0 0 0 0 1 0 0 0 0 0 0
49 2 0 0 0 0 0 0 0 0 0 1 0 0
50 2 0 0 0 0 0 0 0 0 0 1 0 0
51 4 0 0 0 0 0 0 0 0 0 1 0 0
52 9 0 0 0 0 0 0 0 1 0 0 0 0
53 3 0 0 0 0 0 0 0 0 0 1 0 0
54 3 0 0 0 0 0 0 0 0 0 1 0 0
55 8 0 0 0 0 0 0 0 0 0 1 0 0
56 10 0 0 0 0 0 0 0 0 0 1 0 0
57 9 0 0 0 0 0 0 0 1 0 0 0 0
58 6 0 0 0 0 0 0 0 1 0 0 0 0
59 1 0 0 0 0 0 0 0 1 0 0 0 0
60 3 0 0 0 0 0 0 0 1 0 0 0 0
61 2 0 0 0 0 0 0 0 0 0 1 0 0
62 0 0 0 0 0 0 0 0 1 0 0 0 0
63 3 0 0 0 0 0 0 0 0 0 1 0 0
64 2 0 0 0 0 0 0 0 0 0 1 0 0
65 0 0 0 0 0 0 0 0 1 0 0 0 0
66 9 0 0 0 0 0 0 0 1 0 0 0 0
67 4 0 0 0 0 0 0 0 1 0 0 0 0
68 7 0 0 0 0 0 0 0 1 0 0 0 0
69 1 0 0 0 0 0 0 0 1 0 0 0 0
70 0 0 0 0 0 0 0 0 0 0 1 0 0
71 2 0 0 0 0 0 0 0 1 0 0 0 0
72 3 0 0 0 0 0 0 0 1 0 0 0 0
73 1 0 0 0 0 0 0 0 1 0 0 0 0
74 5 1 0 0 0 1 0 0 0 0 0 0 0
75 1 1 1 0 0 0 0 0 0 0 0 0 0
76 8 1 0 0 0 0 0 0 0 0 0 1 0
77 4 1 0 0 1 0 0 0 0 0 0 0 0
78 4 1 0 0 1 0 0 0 0 0 0 0 0
79 8 1 1 0 0 0 0 0 0 0 0 0 0
80 9 1 0 0 1 0 0 0 0 0 0 0 0
81 10 1 0 0 0 0 0 0 0 0 0 0 1
82 36 1 0 0 0 1 0 0 0 0 0 0 0
83 10 1 0 0 0 0 0 0 0 1 0 0 0
84 6 1 0 0 0 0 0 0 0 0 0 0 0
85 1 1 0 0 0 0 0 0 0 0 0 0 0
86 2 1 0 0 0 0 0 0 0 0 0 0 1
87 6 1 0 0 0 1 0 0 0 0 0 0 0
88 8 1 0 0 0 0 0 0 0 0 0 0 0
89 9 1 0 0 1 0 0 0 0 0 0 0 0
90 9 1 1 0 0 0 0 0 0 0 0 0 0
91 2 1 0 0 0 0 0 0 0 0 0 0 0
92 1 1 0 0 0 1 0 0 0 0 0 0 0
93 8 1 0 0 0 0 0 0 0 0 0 1 0
94 6 1 0 0 0 1 0 0 0 0 0 0 0
95 7 1 0 0 0 0 0 0 0 0 0 0 1
96 6 1 0 0 0 1 0 0 0 0 0 0 0
97 5 1 0 0 0 0 0 0 0 0 0 0 0
98 1 1 0 0 1 0 0 0 0 0 0 0 0
99 3 1 0 1 0 0 0 0 0 0 0 0 0
100 8 1 0 0 0 0 0 0 0 0 0 1 0
101 3 1 0 0 0 0 0 0 0 0 0 0 1
102 4 1 0 0 0 1 0 0 0 0 0 0 0
103 10 1 0 0 1 0 0 0 0 0 0 0 0
104 7 1 0 1 0 0 0 0 0 0 0 0 0
105 5 1 0 0 0 0 0 0 0 0 0 1 0
106 4 1 0 0 0 1 0 0 0 0 0 0 0
107 4 1 1 0 0 0 0 0 0 0 0 0 0
108 5 1 0 0 0 1 0 0 0 0 0 0 0
109 7 1 0 0 0 0 0 0 0 0 0 0 0
110 2 1 0 0 0 0 0 0 0 0 0 1 0
111 9 1 0 0 0 0 0 0 0 0 0 0 0
112 4 1 0 1 0 0 0 0 0 0 0 0 0
113 9 1 0 0 1 0 0 0 0 0 0 0 0
114 6 1 0 0 0 0 0 0 0 0 0 0 1
115 8 0 0 0 0 0 0 0 1 0 0 0 0
116 2 0 0 0 0 0 0 0 1 0 0 0 0
117 1 0 0 0 0 0 0 0 1 0 0 0 0
118 3 0 0 0 0 0 0 0 0 0 0 1 0
119 4 0 0 0 0 0 0 0 0 0 0 1 0
120 3 0 0 0 0 0 0 0 0 0 0 1 0
121 3 0 0 0 0 0 0 0 1 0 0 0 0
122 2 0 1 0 0 0 0 0 0 0 0 0 0
123 2 0 0 0 0 0 0 0 0 0 0 1 0
124 4 0 0 0 0 0 0 0 0 0 0 1 0
125 2 0 0 0 0 0 0 0 1 0 0 0 0
126 3 0 0 0 0 0 0 0 0 0 0 1 0
127 3 0 0 0 0 0 0 0 1 0 0 0 0
128 3 0 0 0 0 0 0 0 0 0 0 0 0
129 3 0 0 0 0 0 0 0 0 0 0 0 0
130 6 1 1 0 0 0 0 0 0 0 0 0 0
131 7 1 0 1 0 0 0 0 0 0 0 0 0
132 6 1 0 1 0 0 0 0 0 0 0 0 0
133 9 1 0 0 0 0 0 0 0 0 0 0 1
134 0 1 0 0 0 0 0 0 0 0 0 0 0
135 1 1 0 0 1 0 0 0 0 0 0 0 0
136 8 1 0 0 0 0 0 0 0 0 0 0 1
137 9 1 0 0 0 0 0 0 0 0 0 0 0
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140 3 1 0 1 0 0 0 0 0 0 0 0 0
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144 12 0 0 0 0 0 0 0 0 0 0 0 0
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148 5 1 0 0 0 0 0 0 0 0 0 1 0
149 3 1 0 0 0 0 0 0 0 0 0 0 0
150 5 0 0 0 0 0 0 0 0 1 0 0 0
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152 7 0 0 0 0 0 0 0 1 0 0 0 0
153 9 0 0 0 0 0 0 0 1 0 0 0 0
154 21 0 0 0 0 0 0 0 1 0 0 0 0
155 12 0 0 0 0 0 0 0 1 0 0 0 0
156 3 0 0 0 0 0 0 0 1 0 0 0 0
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158 11 0 0 0 0 0 1 0 0 0 0 0 0
159 4 0 0 0 0 0 1 0 0 0 0 0 0
160 11 0 0 0 0 0 0 0 0 0 1 0 0
161 18 0 0 0 0 0 0 0 0 0 1 0 0
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163 8 0 0 0 0 0 0 0 0 0 1 0 0
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166 5 0 0 0 0 0 0 0 0 0 1 0 0
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170 26 0 0 0 0 0 0 0 0 0 1 0 0
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172 2 0 0 0 0 0 0 0 0 0 0 0 0
173 8 0 0 0 0 0 0 0 0 1 0 0 0
174 15 0 0 0 0 0 0 0 0 0 1 0 0
175 18 0 0 0 0 0 0 0 0 0 1 0 0
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177 2 0 0 0 0 0 0 0 0 0 1 0 0
178 6 0 0 0 0 0 0 0 0 0 1 0 0
179 7 0 0 0 0 0 0 0 0 0 1 0 0
180 16 0 0 0 0 0 0 0 0 0 1 0 0
181 23 0 0 0 0 0 0 0 0 0 1 0 0
182 2 0 0 0 0 0 0 0 0 0 0 0 0
183 1 0 0 0 0 0 0 0 0 0 1 0 0
184 7 0 0 0 0 0 0 0 0 0 1 0 0
185 10 0 0 0 0 0 0 0 0 0 1 0 0
186 13 0 0 0 0 0 0 0 0 0 1 0 0
187 11 0 0 0 0 0 0 0 0 0 1 0 0
188 7 0 0 0 0 0 0 0 1 0 0 0 0
189 19 0 0 0 0 0 0 0 0 0 1 0 0
190 4 0 0 0 0 0 0 0 0 0 0 0 0
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192 24 0 0 0 0 0 0 0 0 0 1 0 0
193 10 0 0 0 0 0 0 0 1 0 0 0 0
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210 3 0 0 0 0 0 0 0 0 0 1 0 0
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219 16 0 0 0 0 0 0 0 0 0 1 0 0
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224 0 0 0 0 0 0 0 0 0 0 0 0 0
225 0 0 1 0 0 0 0 0 0 0 0 0 0
226 0 0 0 0 0 0 0 0 1 0 0 0 0
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229 0 0 0 0 0 0 0 0 0 0 0 0 0
230 2 0 0 0 0 0 0 0 1 0 0 0 0
231 3 0 0 0 0 0 0 0 0 1 0 0 0
232 4 0 0 0 0 0 0 0 0 0 0 0 0
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234 10 0 0 0 0 0 0 0 0 0 0 0 0
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360 0 0 0 0 0 0 0
361 0 0 0 0 0 1 0
362 0 0 0 0 0 1 0
363 0 0 0 0 0 0 0
364 0 0 0 0 0 0 0
365 0 0 1 0 0 0 0
366 0 0 1 0 0 0 0
367 0 0 0 0 0 0 0
368 0 0 1 0 0 0 0
369 0 0 0 0 0 0 0
370 0 0 0 0 0 1 0
371 0 0 0 0 0 0 1
372 0 0 0 0 0 1 0
373 0 0 0 0 0 1 0
374 0 0 0 0 0 1 0
375 0 0 0 0 0 0 1
376 0 0 0 0 0 0 1
377 0 1 0 0 0 0 0
378 0 0 0 1 0 0 0
379 0 0 0 1 0 0 0
380 0 0 0 1 0 0 0
381 0 0 0 1 0 0 0
382 0 0 0 0 0 0 0
383 0 0 0 0 0 0 0
384 0 0 0 0 0 0 0
385 0 0 0 0 0 0 0
386 0 0 0 1 0 0 0
387 0 1 0 0 0 0 0
388 0 1 0 0 0 0 0
389 0 0 0 1 0 0 0
390 0 0 0 1 0 0 0
391 0 0 0 1 0 0 0
392 0 0 0 1 0 0 0
393 0 0 0 1 0 0 0
394 0 1 0 0 0 0 0
395 0 1 0 0 0 0 0
396 0 1 0 0 0 0 0
397 0 0 0 1 0 0 0
398 0 0 0 0 0 0 0
399 0 0 0 0 0 0 0
400 0 1 0 0 0 0 0
401 0 0 0 0 0 0 0
402 0 0 0 0 0 0 0
403 0 0 0 1 0 0 0
404 0 1 0 0 0 0 0
405 0 1 0 0 0 0 0
406 0 0 0 1 0 0 0
407 0 0 0 1 0 0 0
408 0 0 0 1 0 0 0
409 0 0 0 1 0 0 0
410 0 0 1 0 0 0 0
411 0 0 0 0 0 0 0
412 0 0 0 0 0 0 0
413 0 1 0 0 0 0 0
414 0 1 0 0 0 0 0
415 0 0 0 0 0 0 0
416 0 0 0 0 0 0 0
417 0 1 0 0 0 0 0
418 0 1 0 0 0 0 0
419 0 1 0 0 0 0 0
420 0 1 0 0 0 0 0
421 0 1 0 0 0 0 0
422 0 1 0 0 0 0 0
423 0 0 0 0 0 0 1
424 1 0 0 0 0 0 0
425 0 1 0 0 0 0 0
426 0 0 0 0 0 0 1
427 0 1 0 0 0 0 0
428 0 0 0 0 0 0 1
429 0 0 0 0 0 0 1
430 0 0 0 0 0 1 0
431 0 0 0 0 0 0 1
432 0 1 0 0 0 0 0
433 0 0 0 1 0 0 0
434 0 1 0 0 0 0 0
435 1 0 0 0 0 0 0
436 0 1 0 0 0 0 0
437 1 0 0 0 0 0 0
438 1 0 0 0 0 0 0
439 0 0 0 1 0 0 0
440 0 0 0 1 0 0 0
441 0 0 0 0 0 1 0
442 0 0 0 0 0 1 0
443 0 0 0 0 1 0 0
444 0 0 0 0 0 0 0
445 0 0 0 1 0 0 0
446 0 0 0 1 0 0 0
447 0 1 0 0 0 0 0
448 0 1 0 0 0 0 0
449 1 0 0 0 0 0 0
450 0 1 0 0 0 0 0
451 0 0 0 1 0 0 0
452 0 0 0 0 0 1 0
453 0 0 0 1 0 0 0
454 0 1 0 0 0 0 0
455 0 0 0 1 0 0 0
456 0 0 0 0 0 0 1
457 0 0 0 1 0 0 0
458 0 0 0 0 0 1 0
459 1 0 0 0 0 0 0
460 0 1 0 0 0 0 0
461 0 0 0 0 0 1 0
462 0 0 0 1 0 0 0
463 0 0 0 0 0 0 1
464 0 0 0 0 0 0 1
465 0 0 0 1 0 0 0
466 0 0 0 1 0 0 0
467 0 0 0 1 0 0 0
468 1 0 0 0 0 0 0
469 1 0 0 0 0 0 0
470 0 0 0 0 0 0 1
471 0 0 0 0 0 0 0
472 0 1 0 0 0 0 0
473 0 1 0 0 0 0 0
474 0 0 0 0 1 0 0
475 0 1 0 0 0 0 0
476 0 1 0 0 0 0 0
477 0 0 0 0 0 0 1
478 0 0 0 1 0 0 0
479 0 1 0 0 0 0 0
480 0 1 0 0 0 0 0
481 0 0 0 0 0 1 0
482 0 0 0 0 0 0 1
483 0 0 0 0 0 0 0
484 0 1 0 0 0 0 0
485 0 0 0 1 0 0 0
486 0 0 0 0 0 0 1
487 0 0 0 0 0 0 1
488 0 1 0 0 0 0 0
489 0 1 0 0 0 0 0
490 0 0 0 0 0 0 1
491 1 0 0 0 0 0 0
492 0 1 0 0 0 0 0
493 0 1 0 0 0 0 0
494 0 1 0 0 0 0 0
495 0 0 0 1 0 0 0
496 0 0 0 1 0 0 0
497 0 0 0 1 0 0 0
498 0 0 0 0 0 0 1
499 0 0 0 0 0 0 1
500 0 1 0 0 0 0 0
501 0 1 0 0 0 0 0
502 0 1 0 0 0 0 0
503 0 1 0 0 0 0 0
504 0 0 0 1 0 0 0
505 0 1 0 0 0 0 0
506 0 0 0 0 0 1 0
507 0 1 0 0 0 0 0
508 0 1 0 0 0 0 0
509 0 0 0 0 0 0 1
510 0 1 0 0 0 0 0
511 0 1 0 0 0 0 0
512 0 0 0 0 0 0 1
513 0 0 0 0 0 0 0
514 0 0 0 0 0 0 0
515 0 0 0 0 0 0 0
516 0 0 0 0 0 0 0
517 0 0 0 0 1 0 0
518 0 0 0 0 1 0 0
519 0 0 0 0 1 0 0
520 0 0 0 0 1 0 0
521 0 0 0 0 0 0 0
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) c2 scha05 sch06 sch31 sch00
5.50037 3.28365 -2.71338 -0.83788 -0.60237 2.03336
sch53 sch16 sch41 sch17 sch40 sch10
-0.38961 -2.27481 -0.34417 0.01404 3.15918 -2.89223
sch01 hak3 hak5 hak0 hak6 hak8
-1.75180 0.54394 -0.15140 -0.89474 -0.17689 -2.99898
hak7 hak4
-1.08115 -1.03008
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-9.6660 -3.3375 -0.5784 2.3854 25.2160
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5.50037 0.61896 8.886 < 2e-16 ***
c2 3.28365 0.68322 4.806 2.04e-06 ***
scha05 -2.71338 1.28136 -2.118 0.03470 *
sch06 -0.83788 1.04206 -0.804 0.42175
sch31 -0.60237 1.20200 -0.501 0.61650
sch00 2.03336 0.99165 2.050 0.04084 *
sch53 -0.38961 1.14777 -0.339 0.73441
sch16 -2.27481 2.02210 -1.125 0.26114
sch41 -0.34417 0.76465 -0.450 0.65283
sch17 0.01404 1.51258 0.009 0.99260
sch40 3.15918 0.74380 4.247 2.58e-05 ***
sch10 -2.89223 1.07963 -2.679 0.00763 **
sch01 -1.75180 0.91968 -1.905 0.05738 .
hak3 0.54394 0.97443 0.558 0.57694
hak5 -0.15140 0.69579 -0.218 0.82784
hak0 -0.89474 1.29950 -0.689 0.49144
hak6 -0.17689 0.79841 -0.222 0.82475
hak8 -2.99898 0.92759 -3.233 0.00131 **
hak7 -1.08115 0.75094 -1.440 0.15057
hak4 -1.03008 0.89787 -1.147 0.25183
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 4.909 on 501 degrees of freedom
Multiple R-squared: 0.176, Adjusted R-squared: 0.1448
F-statistic: 5.633 on 19 and 501 DF, p-value: 9.537e-13
> 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,] 2.418698e-01 4.837396e-01 7.581302e-01
[2,] 1.228243e-01 2.456487e-01 8.771757e-01
[3,] 5.566867e-02 1.113373e-01 9.443313e-01
[4,] 2.354613e-02 4.709226e-02 9.764539e-01
[5,] 9.475469e-03 1.895094e-02 9.905245e-01
[6,] 7.982493e-03 1.596499e-02 9.920175e-01
[7,] 3.181396e-03 6.362793e-03 9.968186e-01
[8,] 1.200794e-03 2.401587e-03 9.987992e-01
[9,] 4.472747e-04 8.945495e-04 9.995527e-01
[10,] 1.629777e-04 3.259553e-04 9.998370e-01
[11,] 5.471618e-05 1.094324e-04 9.999453e-01
[12,] 1.423448e-04 2.846895e-04 9.998577e-01
[13,] 5.725076e-05 1.145015e-04 9.999427e-01
[14,] 2.112488e-05 4.224976e-05 9.999789e-01
[15,] 7.825380e-06 1.565076e-05 9.999922e-01
[16,] 3.552931e-06 7.105861e-06 9.999964e-01
[17,] 1.873995e-06 3.747990e-06 9.999981e-01
[18,] 1.193403e-06 2.386806e-06 9.999988e-01
[19,] 4.379029e-07 8.758057e-07 9.999996e-01
[20,] 1.695012e-07 3.390024e-07 9.999998e-01
[21,] 7.785801e-08 1.557160e-07 9.999999e-01
[22,] 2.563623e-08 5.127246e-08 1.000000e+00
[23,] 1.021238e-08 2.042477e-08 1.000000e+00
[24,] 6.751717e-07 1.350343e-06 9.999993e-01
[25,] 2.816158e-07 5.632316e-07 9.999997e-01
[26,] 1.165573e-07 2.331146e-07 9.999999e-01
[27,] 4.558932e-08 9.117865e-08 1.000000e+00
[28,] 1.754470e-08 3.508940e-08 1.000000e+00
[29,] 1.031822e-08 2.063643e-08 1.000000e+00
[30,] 3.124977e-07 6.249955e-07 9.999997e-01
[31,] 1.430166e-07 2.860331e-07 9.999999e-01
[32,] 6.175279e-08 1.235056e-07 9.999999e-01
[33,] 2.055975e-07 4.111951e-07 9.999998e-01
[34,] 2.833003e-06 5.666005e-06 9.999972e-01
[35,] 6.576584e-06 1.315317e-05 9.999934e-01
[36,] 3.636702e-06 7.273405e-06 9.999964e-01
[37,] 2.022626e-06 4.045252e-06 9.999980e-01
[38,] 1.021411e-06 2.042823e-06 9.999990e-01
[39,] 5.463211e-07 1.092642e-06 9.999995e-01
[40,] 3.407152e-07 6.814304e-07 9.999997e-01
[41,] 1.795583e-07 3.591165e-07 9.999998e-01
[42,] 9.282223e-08 1.856445e-07 9.999999e-01
[43,] 7.222374e-08 1.444475e-07 9.999999e-01
[44,] 1.813421e-07 3.626842e-07 9.999998e-01
[45,] 9.885698e-08 1.977140e-07 9.999999e-01
[46,] 6.063752e-08 1.212750e-07 9.999999e-01
[47,] 3.155163e-08 6.310327e-08 1.000000e+00
[48,] 2.374027e-08 4.748054e-08 1.000000e+00
[49,] 2.280660e-08 4.561319e-08 1.000000e+00
[50,] 1.218972e-08 2.437943e-08 1.000000e+00
[51,] 7.309203e-09 1.461841e-08 1.000000e+00
[52,] 4.520650e-09 9.041299e-09 1.000000e+00
[53,] 3.203021e-09 6.406042e-09 1.000000e+00
[54,] 8.962715e-09 1.792543e-08 1.000000e+00
[55,] 4.800983e-09 9.601966e-09 1.000000e+00
[56,] 2.526542e-09 5.053085e-09 1.000000e+00
[57,] 1.240894e-09 2.481788e-09 1.000000e+00
[58,] 5.486980e-09 1.097396e-08 1.000000e+00
[59,] 5.978119e-08 1.195624e-07 9.999999e-01
[60,] 1.516591e-02 3.033181e-02 9.848341e-01
[61,] 2.496289e-02 4.992579e-02 9.750371e-01
[62,] 2.069230e-02 4.138460e-02 9.793077e-01
[63,] 2.955574e-02 5.911149e-02 9.704443e-01
[64,] 2.477827e-02 4.955654e-02 9.752217e-01
[65,] 3.130400e-02 6.260799e-02 9.686960e-01
[66,] 2.538878e-02 5.077756e-02 9.746112e-01
[67,] 3.195310e-02 6.390620e-02 9.680469e-01
[68,] 2.592777e-02 5.185554e-02 9.740722e-01
[69,] 2.195922e-02 4.391845e-02 9.780408e-01
[70,] 3.983467e-02 7.966933e-02 9.601653e-01
[71,] 3.254112e-02 6.508224e-02 9.674589e-01
[72,] 2.820346e-02 5.640692e-02 9.717965e-01
[73,] 2.603486e-02 5.206973e-02 9.739651e-01
[74,] 2.226039e-02 4.452079e-02 9.777396e-01
[75,] 1.945988e-02 3.891976e-02 9.805401e-01
[76,] 1.696048e-02 3.392097e-02 9.830395e-01
[77,] 1.403005e-02 2.806010e-02 9.859699e-01
[78,] 1.268053e-02 2.536105e-02 9.873195e-01
[79,] 1.032371e-02 2.064742e-02 9.896763e-01
[80,] 1.962192e-02 3.924384e-02 9.803781e-01
[81,] 2.651328e-02 5.302656e-02 9.734867e-01
[82,] 2.164264e-02 4.328528e-02 9.783574e-01
[83,] 1.880064e-02 3.760128e-02 9.811994e-01
[84,] 1.981933e-02 3.963866e-02 9.801807e-01
[85,] 1.843869e-02 3.687738e-02 9.815613e-01
[86,] 2.101896e-02 4.203792e-02 9.789810e-01
[87,] 1.872729e-02 3.745458e-02 9.812727e-01
[88,] 1.941064e-02 3.882129e-02 9.805894e-01
[89,] 1.681409e-02 3.362819e-02 9.831859e-01
[90,] 1.423087e-02 2.846174e-02 9.857691e-01
[91,] 1.220368e-02 2.440736e-02 9.877963e-01
[92,] 1.120904e-02 2.241807e-02 9.887910e-01
[93,] 1.005609e-02 2.011218e-02 9.899439e-01
[94,] 9.496330e-03 1.899266e-02 9.905037e-01
[95,] 8.708894e-03 1.741779e-02 9.912911e-01
[96,] 7.042633e-03 1.408527e-02 9.929574e-01
[97,] 5.582618e-03 1.116524e-02 9.944174e-01
[98,] 4.434277e-03 8.868555e-03 9.955657e-01
[99,] 3.533159e-03 7.066318e-03 9.964668e-01
[100,] 2.970313e-03 5.940626e-03 9.970297e-01
[101,] 2.359887e-03 4.719774e-03 9.976401e-01
[102,] 1.833283e-03 3.666566e-03 9.981667e-01
[103,] 1.427660e-03 2.855321e-03 9.985723e-01
[104,] 1.091734e-03 2.183468e-03 9.989083e-01
[105,] 8.329034e-04 1.665807e-03 9.991671e-01
[106,] 6.385708e-04 1.277142e-03 9.993614e-01
[107,] 4.860941e-04 9.721881e-04 9.995139e-01
[108,] 3.739149e-04 7.478299e-04 9.996261e-01
[109,] 2.794210e-04 5.588420e-04 9.997206e-01
[110,] 2.100253e-04 4.200507e-04 9.997900e-01
[111,] 2.356258e-04 4.712515e-04 9.997644e-01
[112,] 2.620559e-04 5.241118e-04 9.997379e-01
[113,] 2.720417e-04 5.440834e-04 9.997280e-01
[114,] 2.461989e-04 4.923978e-04 9.997538e-01
[115,] 2.594243e-04 5.188486e-04 9.997406e-01
[116,] 2.221551e-04 4.443102e-04 9.997778e-01
[117,] 2.206249e-04 4.412498e-04 9.997794e-01
[118,] 2.003232e-04 4.006464e-04 9.997997e-01
[119,] 1.563216e-04 3.126432e-04 9.998437e-01
[120,] 1.165541e-04 2.331082e-04 9.998834e-01
[121,] 9.106397e-05 1.821279e-04 9.999089e-01
[122,] 1.817318e-04 3.634637e-04 9.998183e-01
[123,] 1.952536e-04 3.905071e-04 9.998047e-01
[124,] 1.962935e-04 3.925871e-04 9.998037e-01
[125,] 2.208442e-04 4.416883e-04 9.997792e-01
[126,] 1.728801e-04 3.457602e-04 9.998271e-01
[127,] 1.565816e-04 3.131633e-04 9.998434e-01
[128,] 1.171770e-04 2.343539e-04 9.998828e-01
[129,] 1.058143e-04 2.116286e-04 9.998942e-01
[130,] 8.425133e-05 1.685027e-04 9.999157e-01
[131,] 8.818023e-05 1.763605e-04 9.999118e-01
[132,] 8.835874e-04 1.767175e-03 9.991164e-01
[133,] 8.524199e-04 1.704840e-03 9.991476e-01
[134,] 7.144525e-04 1.428905e-03 9.992855e-01
[135,] 5.810364e-04 1.162073e-03 9.994190e-01
[136,] 6.148452e-04 1.229690e-03 9.993852e-01
[137,] 5.374648e-04 1.074930e-03 9.994625e-01
[138,] 5.616415e-04 1.123283e-03 9.994384e-01
[139,] 1.860069e-03 3.720138e-03 9.981399e-01
[140,] 1.516980e-03 3.033961e-03 9.984830e-01
[141,] 1.212849e-03 2.425698e-03 9.987872e-01
[142,] 1.134257e-03 2.268514e-03 9.988657e-01
[143,] 1.121169e-03 2.242338e-03 9.988788e-01
[144,] 9.880592e-04 1.976118e-03 9.990119e-01
[145,] 1.172635e-03 2.345270e-03 9.988274e-01
[146,] 1.009840e-03 2.019680e-03 9.989902e-01
[147,] 1.261767e-03 2.523534e-03 9.987382e-01
[148,] 2.287653e-02 4.575306e-02 9.771235e-01
[149,] 2.628209e-02 5.256418e-02 9.737179e-01
[150,] 2.292976e-02 4.585953e-02 9.770702e-01
[151,] 2.009921e-02 4.019841e-02 9.799008e-01
[152,] 3.280736e-02 6.561472e-02 9.671926e-01
[153,] 6.989938e-02 1.397988e-01 9.301006e-01
[154,] 8.002709e-02 1.600542e-01 9.199729e-01
[155,] 9.102407e-02 1.820481e-01 9.089759e-01
[156,] 8.083036e-02 1.616607e-01 9.191696e-01
[157,] 7.175078e-02 1.435016e-01 9.282492e-01
[158,] 8.945843e-02 1.789169e-01 9.105416e-01
[159,] 2.181285e-01 4.362570e-01 7.818715e-01
[160,] 2.002828e-01 4.005657e-01 7.997172e-01
[161,] 2.361945e-01 4.723890e-01 7.638055e-01
[162,] 2.160281e-01 4.320562e-01 7.839719e-01
[163,] 1.977753e-01 3.955506e-01 8.022247e-01
[164,] 1.933783e-01 3.867567e-01 8.066217e-01
[165,] 1.787860e-01 3.575719e-01 8.212140e-01
[166,] 1.664602e-01 3.329203e-01 8.335398e-01
[167,] 2.670425e-01 5.340850e-01 7.329575e-01
[168,] 2.453152e-01 4.906303e-01 7.546848e-01
[169,] 2.386850e-01 4.773700e-01 7.613150e-01
[170,] 4.561761e-01 9.123522e-01 5.438239e-01
[171,] 4.529624e-01 9.059247e-01 5.470376e-01
[172,] 4.451733e-01 8.903467e-01 5.548267e-01
[173,] 4.258012e-01 8.516025e-01 5.741988e-01
[174,] 4.043044e-01 8.086088e-01 5.956956e-01
[175,] 4.970111e-01 9.940222e-01 5.029889e-01
[176,] 4.709663e-01 9.419327e-01 5.290337e-01
[177,] 4.552978e-01 9.105956e-01 5.447022e-01
[178,] 4.375968e-01 8.751935e-01 5.624032e-01
[179,] 4.132683e-01 8.265366e-01 5.867317e-01
[180,] 4.603343e-01 9.206686e-01 5.396657e-01
[181,] 4.435027e-01 8.870054e-01 5.564973e-01
[182,] 4.196841e-01 8.393683e-01 5.803159e-01
[183,] 4.028667e-01 8.057334e-01 5.971333e-01
[184,] 3.828451e-01 7.656902e-01 6.171549e-01
[185,] 4.950033e-01 9.900065e-01 5.049967e-01
[186,] 4.893304e-01 9.786607e-01 5.106696e-01
[187,] 5.616240e-01 8.767520e-01 4.383760e-01
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[466,] 4.920740e-01 9.841480e-01 5.079260e-01
[467,] 4.469727e-01 8.939454e-01 5.530273e-01
[468,] 3.830961e-01 7.661923e-01 6.169039e-01
[469,] 3.017049e-01 6.034099e-01 6.982951e-01
[470,] 2.555373e-01 5.110745e-01 7.444627e-01
[471,] 2.200935e-01 4.401870e-01 7.799065e-01
[472,] 1.839228e-01 3.678456e-01 8.160772e-01
[473,] 1.360112e-01 2.720224e-01 8.639888e-01
[474,] 1.340387e-01 2.680774e-01 8.659613e-01
[475,] 7.727492e-02 1.545498e-01 9.227251e-01
[476,] 5.830223e-02 1.166045e-01 9.416978e-01
> postscript(file="/var/wessaorg/rcomp/tmp/1e59l1355227021.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/wessaorg/rcomp/tmp/23ef71355227021.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/3if7n1355227021.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/432q41355227021.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/57ds21355227021.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> qqnorm(mysum$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 = 521
Frequency = 1
1 2 3 4 5 6
1.385420174 2.385420174 -0.490082889 -3.725593893 -7.665979661 -0.216019781
7 8 9 10 11 12
-2.216019781 -1.330826425 0.669173575 3.669173575 -1.330826425 0.783980219
13 14 15 16 17 18
-4.979307667 -1.157219862 5.211988412 -3.337517453 0.924950228 -3.660573113
19 20 21 22 23 24
-5.578403023 0.390839749 -1.075049772 -6.482660919 -3.337517453 -2.979307667
25 26 27 28 29 30
-3.323480570 -4.578403023 -3.660573113 -4.075049772 -1.157219862 1.959445993
31 32 33 34 35 36
-1.861702670 -2.861702670 -2.070636079 -3.040554007 -1.040554007 -6.002137729
37 38 39 40 41 42
-7.032219801 -4.002137729 -3.002137729 -4.032219801 8.889241877 7.889241877
43 44 45 46 47 48
-2.216019781 0.337506586 -2.216019781 1.232244929 -1.767755071 -1.216019781
49 50 51 52 53 54
-3.660573113 -3.660573113 -1.660573113 6.842780138 -4.578403023 -2.660573113
55 56 57 58 59 60
0.421596977 1.517339081 4.020692333 0.843801376 -1.157219862 -2.004800791
61 62 63 64 65 66
-3.660573113 -2.157219862 -5.508154043 -3.660573113 -4.075049772 3.995199209
67 68 69 70 71 72
-0.075049772 1.995199209 -1.157219862 -5.660573113 -3.156198624 0.842780138
73 74 75 76 77 78
-3.075049772 -5.817377494 -4.919238246 2.108215258 -4.725593893 -4.725593893
79 80 81 82 83 84
1.385420174 0.969747688 3.997862271 24.638678759 1.353343695 -1.753935184
85 86 87 88 89 90
-8.327961003 -4.002137729 -3.787295422 -1.327961003 0.818349855 2.385420174
91 92 93 94 95 96
-6.784017256 -9.665979661 1.564271511 -4.665979661 -0.032219801 -4.665979661
97 98 99 100 101 102
-2.753935184 -7.004759188 -4.794741309 2.108215258 -3.002137729 -7.361321241
103 104 105 106 107 108
1.995240812 0.083942930 -1.435728489 -6.817377494 -2.614579826 -6.361321241
109 110 111 112 113 114
-1.784017256 -4.435728489 -0.327961003 -3.794741309 0.818349855 -0.880821968
115 116 117 118 119 120
2.995199209 -3.156198624 -4.004800791 0.391860987 1.391860987 0.391860987
121 122 123 124 125 126
-2.004800791 -0.786990350 -0.608139013 1.391860987 -2.075049772 0.391860987
127 128 129 130 131 132
-1.075049772 -2.500371527 -2.500371527 0.959445993 0.083942930 -0.916057070
133 134 135 136 137 138
2.119178032 -8.632619423 -6.151568073 1.119178032 0.367380577 -4.665979661
139 140 141 142 143 144
1.212704578 -3.916057070 -1.151568073 -0.503649694 1.083942930 6.651026306
145 146 147 148 149 150
-7.508154043 3.995199209 4.959445993 0.138297330 -5.632619423 -0.337517453
151 152 153 154 155 156
0.334020339 1.995199209 4.020692333 15.299857628 6.299857628 -2.156198624
157 158 159 160 161 162
0.970390729 6.970390729 -0.029609271 2.340448124 9.340448124 -2.508154043
163 164 165 166 167 168
-0.508154043 0.421596977 3.491845957 -3.659551876 -6.659551876 -4.578403023
169 170 171 172 173 174
3.421596977 17.491845957 -6.659551876 -3.323480570 2.485591590 7.421596977
175 176 177 178 179 180
10.421596977 5.580777325 -6.508154043 -1.578403023 -1.659551876 7.340448124
181 182 183 184 185 186
14.340448124 -2.419222675 -7.659551876 -0.578403023 1.340448124 4.340448124
187 188 189 190 191 192
2.491845957 1.299857628 11.421596977 -0.419222675 -3.659551876 15.491845957
193 194 195 196 197 198
4.995199209 4.340448124 2.421596977 2.491845957 9.580777325 -0.578403023
199 200 201 202 203 204
3.340448124 2.299857628 0.995199209 -7.659551876 -2.659551876 -0.508154043
205 206 207 208 209 210
-2.659551876 -2.419222675 11.491845957 4.340448124 9.340448124 -5.659551876
211 212 213 214 215 216
6.340448124 -1.323480570 -2.508154043 3.421596977 -1.323480570 15.340448124
217 218 219 220 221 222
-1.508154043 5.340448124 7.340448124 0.340448124 -4.514408410 -3.514408410
223 224 225 226 227 228
-5.500371527 -5.500371527 -2.786990350 -5.700142372 -1.786990350 -0.348973694
229 230 231 232 233 234
-5.500371527 -3.700142372 -2.514408410 -1.348973694 -4.500371527 4.651026306
235 236 237 238 239 240
-4.500371527 -5.500371527 -5.700142372 -1.756908278 -3.225564767 -1.470289455
241 242 243 244 245 246
-2.632411342 2.842780138 -2.632411342 -0.534753003 -2.225564767 -0.534753003
247 248 249 250 251 252
-2.500371527 16.215982744 1.215982744 10.215982744 7.215982744 5.215982744
253 254 255 256 257 258
1.215982744 3.215982744 11.215982744 13.215982744 4.215982744 8.215982744
259 260 261 262 263 264
25.215982744 8.394366816 0.394366816 1.394366816 -3.605633184 0.421596977
265 266 267 268 269 270
-0.470289455 1.402823760 3.924950228 2.402823760 -0.659551876 -5.578403023
271 272 273 274 275 276
-7.578403023 -3.419222675 5.514397543 -4.485602457 -3.075049772 5.332574780
277 278 279 280 281 282
2.514397543 3.873883448 -0.979307667 -1.456741180 1.643159191 4.402823760
283 284 285 286 287 288
-5.508154043 -3.508154043 -7.578403023 -4.156198624 -6.578403023 1.473009839
289 290 291 292 293 294
-2.578403023 -0.578403023 -6.578403023 -5.578403023 4.491845957 -4.508154043
295 296 297 298 299 300
-2.667425220 1.332574780 -1.667425220 -0.292517820 -2.667425220 -4.292517820
301 302 303 304 305 306
-1.667425220 -0.667425220 -2.667425220 -0.667425220 -2.157219862 1.924950228
307 308 309 310 311 312
-0.534753003 3.418655439 1.465246997 -1.157219862 -4.075049772 3.484570353
313 314 315 316 317 318
-1.534753003 -2.534753003 -2.534753003 -0.515429647 -3.581344561 -5.500371527
319 320 321 322 323 324
-1.500371527 -4.419222675 -2.500371527 -5.500371527 -4.156198624 -4.500371527
325 326 327 328 329 330
-3.500371527 1.499628473 -2.500371527 -5.500371527 -2.075049772 -1.157219862
331 332 333 334 335 336
-0.157219862 0.580777325 -2.482660919 -0.979307667 -3.075049772 -1.979307667
337 338 339 340 341 342
-5.500371527 -2.979307667 -2.044315275 -5.578403023 -6.659551876 -1.348973694
343 344 345 346 347 348
-1.157219862 1.390839749 -2.500371527 6.499628473 -4.500371527 1.889241877
349 350 351 352 353 354
-2.080676052 -5.500371527 -4.959360291 4.211988412 -0.419222675 0.842780138
355 356 357 358 359 360
0.499628473 -2.157219862 0.919323948 -5.500371527 -1.419222675 3.774435233
361 362 363 364 365 366
5.924950228 1.924950228 3.391860987 -1.608139013 -2.605633184 4.394366816
367 368 369 370 371 372
-2.608139013 0.394366816 -1.608139013 -2.029609271 -3.080676052 -2.029609271
373 374 375 376 377 378
-0.029609271 -2.029609271 3.919323948 -0.080676052 2.367380577 3.517339081
379 380 381 382 383 384
4.676519430 5.676519430 -0.323480570 -0.181650145 -0.181650145 1.215982744
385 386 387 388 389 390
-4.784017256 -1.979307667 1.969747688 0.367380577 5.676519430 3.676519430
391 392 393 394 395 396
-0.323480570 3.020692333 4.676519430 -2.794741309 0.205258691 1.969747688
397 398 399 400 401 402
2.020692333 -3.156198624 1.843801376 -3.004800791 -0.156198624 -0.156198624
403 404 405 406 407 408
-1.323480570 -3.348973694 -4.348973694 -2.323480570 -3.482660919 -6.482660919
409 410 411 412 413 414
0.517339081 -2.605633184 -4.662493414 -3.748574073 -1.597176240 -3.597176240
415 416 417 418 419 420
-4.662493414 -4.662493414 -5.004800791 -5.004800791 -5.004800791 -3.348973694
421 422 423 424 425 426
-4.348973694 -4.004800791 -6.002137729 -6.327961003 -4.880821968 -2.002137729
427 428 429 430 431 432
-7.665979661 -4.040554007 8.370530196 -0.452582913 2.997862271 0.367380577
433 434 435 436 437 438
-4.933867167 2.119178032 3.707482180 -5.004800791 -5.044315275 3.274406107
439 440 441 442 443 444
1.392873701 2.066132833 6.547417087 9.547417087 5.250404690 1.843801376
445 446 447 448 449 450
0.020692333 0.517339081 2.491845957 2.969747688 8.707482180 5.205258691
451 452 453 454 455 456
-4.933867167 5.547417087 7.020692333 -3.004800791 -6.607126299 5.083942930
457 458 459 460 461 462
1.676519430 -3.075049772 -7.576163549 0.995199209 7.547417087 1.392873701
463 464 465 466 467 468
3.232027934 1.281507999 3.020692333 7.020692333 -8.482660919 5.707482180
469 470 471 472 473 474
5.274406107 5.083942930 -4.500371527 -7.382333933 3.651026306 11.250404690
475 476 477 478 479 480
0.969747688 -2.508154043 5.083942930 8.392873701 2.205258691 3.969747688
481 482 483 484 485 486
12.547417087 7.515673662 2.340448124 1.617666067 -0.323480570 4.246064816
487 488 489 490 491 492
-1.916057070 -3.030252312 2.617666067 2.997862271 0.922324487 10.402823760
493 494 495 496 497 498
13.491845957 9.617666067 4.392873701 3.020692333 -4.979307667 7.873883448
499 500 501 502 503 504
-6.002137729 -7.665979661 -4.030252312 1.969747688 1.969747688 3.517339081
505 506 507 508 509 510
5.969747688 7.547417087 -0.004800791 10.488904419 0.083942930 8.119178032
511 512 513 514 515 516
6.367380577 6.873883448 -0.608139013 -1.608139013 2.391860987 2.391860987
517 518 519 520 521
1.842780138 4.842780138 2.842780138 1.842780138 -0.608139013
> postscript(file="/var/wessaorg/rcomp/tmp/6kslx1355227021.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 = 521
Frequency = 1
lag(myerror, k = 1) myerror
0 1.385420174 NA
1 2.385420174 1.385420174
2 -0.490082889 2.385420174
3 -3.725593893 -0.490082889
4 -7.665979661 -3.725593893
5 -0.216019781 -7.665979661
6 -2.216019781 -0.216019781
7 -1.330826425 -2.216019781
8 0.669173575 -1.330826425
9 3.669173575 0.669173575
10 -1.330826425 3.669173575
11 0.783980219 -1.330826425
12 -4.979307667 0.783980219
13 -1.157219862 -4.979307667
14 5.211988412 -1.157219862
15 -3.337517453 5.211988412
16 0.924950228 -3.337517453
17 -3.660573113 0.924950228
18 -5.578403023 -3.660573113
19 0.390839749 -5.578403023
20 -1.075049772 0.390839749
21 -6.482660919 -1.075049772
22 -3.337517453 -6.482660919
23 -2.979307667 -3.337517453
24 -3.323480570 -2.979307667
25 -4.578403023 -3.323480570
26 -3.660573113 -4.578403023
27 -4.075049772 -3.660573113
28 -1.157219862 -4.075049772
29 1.959445993 -1.157219862
30 -1.861702670 1.959445993
31 -2.861702670 -1.861702670
32 -2.070636079 -2.861702670
33 -3.040554007 -2.070636079
34 -1.040554007 -3.040554007
35 -6.002137729 -1.040554007
36 -7.032219801 -6.002137729
37 -4.002137729 -7.032219801
38 -3.002137729 -4.002137729
39 -4.032219801 -3.002137729
40 8.889241877 -4.032219801
41 7.889241877 8.889241877
42 -2.216019781 7.889241877
43 0.337506586 -2.216019781
44 -2.216019781 0.337506586
45 1.232244929 -2.216019781
46 -1.767755071 1.232244929
47 -1.216019781 -1.767755071
48 -3.660573113 -1.216019781
49 -3.660573113 -3.660573113
50 -1.660573113 -3.660573113
51 6.842780138 -1.660573113
52 -4.578403023 6.842780138
53 -2.660573113 -4.578403023
54 0.421596977 -2.660573113
55 1.517339081 0.421596977
56 4.020692333 1.517339081
57 0.843801376 4.020692333
58 -1.157219862 0.843801376
59 -2.004800791 -1.157219862
60 -3.660573113 -2.004800791
61 -2.157219862 -3.660573113
62 -5.508154043 -2.157219862
63 -3.660573113 -5.508154043
64 -4.075049772 -3.660573113
65 3.995199209 -4.075049772
66 -0.075049772 3.995199209
67 1.995199209 -0.075049772
68 -1.157219862 1.995199209
69 -5.660573113 -1.157219862
70 -3.156198624 -5.660573113
71 0.842780138 -3.156198624
72 -3.075049772 0.842780138
73 -5.817377494 -3.075049772
74 -4.919238246 -5.817377494
75 2.108215258 -4.919238246
76 -4.725593893 2.108215258
77 -4.725593893 -4.725593893
78 1.385420174 -4.725593893
79 0.969747688 1.385420174
80 3.997862271 0.969747688
81 24.638678759 3.997862271
82 1.353343695 24.638678759
83 -1.753935184 1.353343695
84 -8.327961003 -1.753935184
85 -4.002137729 -8.327961003
86 -3.787295422 -4.002137729
87 -1.327961003 -3.787295422
88 0.818349855 -1.327961003
89 2.385420174 0.818349855
90 -6.784017256 2.385420174
91 -9.665979661 -6.784017256
92 1.564271511 -9.665979661
93 -4.665979661 1.564271511
94 -0.032219801 -4.665979661
95 -4.665979661 -0.032219801
96 -2.753935184 -4.665979661
97 -7.004759188 -2.753935184
98 -4.794741309 -7.004759188
99 2.108215258 -4.794741309
100 -3.002137729 2.108215258
101 -7.361321241 -3.002137729
102 1.995240812 -7.361321241
103 0.083942930 1.995240812
104 -1.435728489 0.083942930
105 -6.817377494 -1.435728489
106 -2.614579826 -6.817377494
107 -6.361321241 -2.614579826
108 -1.784017256 -6.361321241
109 -4.435728489 -1.784017256
110 -0.327961003 -4.435728489
111 -3.794741309 -0.327961003
112 0.818349855 -3.794741309
113 -0.880821968 0.818349855
114 2.995199209 -0.880821968
115 -3.156198624 2.995199209
116 -4.004800791 -3.156198624
117 0.391860987 -4.004800791
118 1.391860987 0.391860987
119 0.391860987 1.391860987
120 -2.004800791 0.391860987
121 -0.786990350 -2.004800791
122 -0.608139013 -0.786990350
123 1.391860987 -0.608139013
124 -2.075049772 1.391860987
125 0.391860987 -2.075049772
126 -1.075049772 0.391860987
127 -2.500371527 -1.075049772
128 -2.500371527 -2.500371527
129 0.959445993 -2.500371527
130 0.083942930 0.959445993
131 -0.916057070 0.083942930
132 2.119178032 -0.916057070
133 -8.632619423 2.119178032
134 -6.151568073 -8.632619423
135 1.119178032 -6.151568073
136 0.367380577 1.119178032
137 -4.665979661 0.367380577
138 1.212704578 -4.665979661
139 -3.916057070 1.212704578
140 -1.151568073 -3.916057070
141 -0.503649694 -1.151568073
142 1.083942930 -0.503649694
143 6.651026306 1.083942930
144 -7.508154043 6.651026306
145 3.995199209 -7.508154043
146 4.959445993 3.995199209
147 0.138297330 4.959445993
148 -5.632619423 0.138297330
149 -0.337517453 -5.632619423
150 0.334020339 -0.337517453
151 1.995199209 0.334020339
152 4.020692333 1.995199209
153 15.299857628 4.020692333
154 6.299857628 15.299857628
155 -2.156198624 6.299857628
156 0.970390729 -2.156198624
157 6.970390729 0.970390729
158 -0.029609271 6.970390729
159 2.340448124 -0.029609271
160 9.340448124 2.340448124
161 -2.508154043 9.340448124
162 -0.508154043 -2.508154043
163 0.421596977 -0.508154043
164 3.491845957 0.421596977
165 -3.659551876 3.491845957
166 -6.659551876 -3.659551876
167 -4.578403023 -6.659551876
168 3.421596977 -4.578403023
169 17.491845957 3.421596977
170 -6.659551876 17.491845957
171 -3.323480570 -6.659551876
172 2.485591590 -3.323480570
173 7.421596977 2.485591590
174 10.421596977 7.421596977
175 5.580777325 10.421596977
176 -6.508154043 5.580777325
177 -1.578403023 -6.508154043
178 -1.659551876 -1.578403023
179 7.340448124 -1.659551876
180 14.340448124 7.340448124
181 -2.419222675 14.340448124
182 -7.659551876 -2.419222675
183 -0.578403023 -7.659551876
184 1.340448124 -0.578403023
185 4.340448124 1.340448124
186 2.491845957 4.340448124
187 1.299857628 2.491845957
188 11.421596977 1.299857628
189 -0.419222675 11.421596977
190 -3.659551876 -0.419222675
191 15.491845957 -3.659551876
192 4.995199209 15.491845957
193 4.340448124 4.995199209
194 2.421596977 4.340448124
195 2.491845957 2.421596977
196 9.580777325 2.491845957
197 -0.578403023 9.580777325
198 3.340448124 -0.578403023
199 2.299857628 3.340448124
200 0.995199209 2.299857628
201 -7.659551876 0.995199209
202 -2.659551876 -7.659551876
203 -0.508154043 -2.659551876
204 -2.659551876 -0.508154043
205 -2.419222675 -2.659551876
206 11.491845957 -2.419222675
207 4.340448124 11.491845957
208 9.340448124 4.340448124
209 -5.659551876 9.340448124
210 6.340448124 -5.659551876
211 -1.323480570 6.340448124
212 -2.508154043 -1.323480570
213 3.421596977 -2.508154043
214 -1.323480570 3.421596977
215 15.340448124 -1.323480570
216 -1.508154043 15.340448124
217 5.340448124 -1.508154043
218 7.340448124 5.340448124
219 0.340448124 7.340448124
220 -4.514408410 0.340448124
221 -3.514408410 -4.514408410
222 -5.500371527 -3.514408410
223 -5.500371527 -5.500371527
224 -2.786990350 -5.500371527
225 -5.700142372 -2.786990350
226 -1.786990350 -5.700142372
227 -0.348973694 -1.786990350
228 -5.500371527 -0.348973694
229 -3.700142372 -5.500371527
230 -2.514408410 -3.700142372
231 -1.348973694 -2.514408410
232 -4.500371527 -1.348973694
233 4.651026306 -4.500371527
234 -4.500371527 4.651026306
235 -5.500371527 -4.500371527
236 -5.700142372 -5.500371527
237 -1.756908278 -5.700142372
238 -3.225564767 -1.756908278
239 -1.470289455 -3.225564767
240 -2.632411342 -1.470289455
241 2.842780138 -2.632411342
242 -2.632411342 2.842780138
243 -0.534753003 -2.632411342
244 -2.225564767 -0.534753003
245 -0.534753003 -2.225564767
246 -2.500371527 -0.534753003
247 16.215982744 -2.500371527
248 1.215982744 16.215982744
249 10.215982744 1.215982744
250 7.215982744 10.215982744
251 5.215982744 7.215982744
252 1.215982744 5.215982744
253 3.215982744 1.215982744
254 11.215982744 3.215982744
255 13.215982744 11.215982744
256 4.215982744 13.215982744
257 8.215982744 4.215982744
258 25.215982744 8.215982744
259 8.394366816 25.215982744
260 0.394366816 8.394366816
261 1.394366816 0.394366816
262 -3.605633184 1.394366816
263 0.421596977 -3.605633184
264 -0.470289455 0.421596977
265 1.402823760 -0.470289455
266 3.924950228 1.402823760
267 2.402823760 3.924950228
268 -0.659551876 2.402823760
269 -5.578403023 -0.659551876
270 -7.578403023 -5.578403023
271 -3.419222675 -7.578403023
272 5.514397543 -3.419222675
273 -4.485602457 5.514397543
274 -3.075049772 -4.485602457
275 5.332574780 -3.075049772
276 2.514397543 5.332574780
277 3.873883448 2.514397543
278 -0.979307667 3.873883448
279 -1.456741180 -0.979307667
280 1.643159191 -1.456741180
281 4.402823760 1.643159191
282 -5.508154043 4.402823760
283 -3.508154043 -5.508154043
284 -7.578403023 -3.508154043
285 -4.156198624 -7.578403023
286 -6.578403023 -4.156198624
287 1.473009839 -6.578403023
288 -2.578403023 1.473009839
289 -0.578403023 -2.578403023
290 -6.578403023 -0.578403023
291 -5.578403023 -6.578403023
292 4.491845957 -5.578403023
293 -4.508154043 4.491845957
294 -2.667425220 -4.508154043
295 1.332574780 -2.667425220
296 -1.667425220 1.332574780
297 -0.292517820 -1.667425220
298 -2.667425220 -0.292517820
299 -4.292517820 -2.667425220
300 -1.667425220 -4.292517820
301 -0.667425220 -1.667425220
302 -2.667425220 -0.667425220
303 -0.667425220 -2.667425220
304 -2.157219862 -0.667425220
305 1.924950228 -2.157219862
306 -0.534753003 1.924950228
307 3.418655439 -0.534753003
308 1.465246997 3.418655439
309 -1.157219862 1.465246997
310 -4.075049772 -1.157219862
311 3.484570353 -4.075049772
312 -1.534753003 3.484570353
313 -2.534753003 -1.534753003
314 -2.534753003 -2.534753003
315 -0.515429647 -2.534753003
316 -3.581344561 -0.515429647
317 -5.500371527 -3.581344561
318 -1.500371527 -5.500371527
319 -4.419222675 -1.500371527
320 -2.500371527 -4.419222675
321 -5.500371527 -2.500371527
322 -4.156198624 -5.500371527
323 -4.500371527 -4.156198624
324 -3.500371527 -4.500371527
325 1.499628473 -3.500371527
326 -2.500371527 1.499628473
327 -5.500371527 -2.500371527
328 -2.075049772 -5.500371527
329 -1.157219862 -2.075049772
330 -0.157219862 -1.157219862
331 0.580777325 -0.157219862
332 -2.482660919 0.580777325
333 -0.979307667 -2.482660919
334 -3.075049772 -0.979307667
335 -1.979307667 -3.075049772
336 -5.500371527 -1.979307667
337 -2.979307667 -5.500371527
338 -2.044315275 -2.979307667
339 -5.578403023 -2.044315275
340 -6.659551876 -5.578403023
341 -1.348973694 -6.659551876
342 -1.157219862 -1.348973694
343 1.390839749 -1.157219862
344 -2.500371527 1.390839749
345 6.499628473 -2.500371527
346 -4.500371527 6.499628473
347 1.889241877 -4.500371527
348 -2.080676052 1.889241877
349 -5.500371527 -2.080676052
350 -4.959360291 -5.500371527
351 4.211988412 -4.959360291
352 -0.419222675 4.211988412
353 0.842780138 -0.419222675
354 0.499628473 0.842780138
355 -2.157219862 0.499628473
356 0.919323948 -2.157219862
357 -5.500371527 0.919323948
358 -1.419222675 -5.500371527
359 3.774435233 -1.419222675
360 5.924950228 3.774435233
361 1.924950228 5.924950228
362 3.391860987 1.924950228
363 -1.608139013 3.391860987
364 -2.605633184 -1.608139013
365 4.394366816 -2.605633184
366 -2.608139013 4.394366816
367 0.394366816 -2.608139013
368 -1.608139013 0.394366816
369 -2.029609271 -1.608139013
370 -3.080676052 -2.029609271
371 -2.029609271 -3.080676052
372 -0.029609271 -2.029609271
373 -2.029609271 -0.029609271
374 3.919323948 -2.029609271
375 -0.080676052 3.919323948
376 2.367380577 -0.080676052
377 3.517339081 2.367380577
378 4.676519430 3.517339081
379 5.676519430 4.676519430
380 -0.323480570 5.676519430
381 -0.181650145 -0.323480570
382 -0.181650145 -0.181650145
383 1.215982744 -0.181650145
384 -4.784017256 1.215982744
385 -1.979307667 -4.784017256
386 1.969747688 -1.979307667
387 0.367380577 1.969747688
388 5.676519430 0.367380577
389 3.676519430 5.676519430
390 -0.323480570 3.676519430
391 3.020692333 -0.323480570
392 4.676519430 3.020692333
393 -2.794741309 4.676519430
394 0.205258691 -2.794741309
395 1.969747688 0.205258691
396 2.020692333 1.969747688
397 -3.156198624 2.020692333
398 1.843801376 -3.156198624
399 -3.004800791 1.843801376
400 -0.156198624 -3.004800791
401 -0.156198624 -0.156198624
402 -1.323480570 -0.156198624
403 -3.348973694 -1.323480570
404 -4.348973694 -3.348973694
405 -2.323480570 -4.348973694
406 -3.482660919 -2.323480570
407 -6.482660919 -3.482660919
408 0.517339081 -6.482660919
409 -2.605633184 0.517339081
410 -4.662493414 -2.605633184
411 -3.748574073 -4.662493414
412 -1.597176240 -3.748574073
413 -3.597176240 -1.597176240
414 -4.662493414 -3.597176240
415 -4.662493414 -4.662493414
416 -5.004800791 -4.662493414
417 -5.004800791 -5.004800791
418 -5.004800791 -5.004800791
419 -3.348973694 -5.004800791
420 -4.348973694 -3.348973694
421 -4.004800791 -4.348973694
422 -6.002137729 -4.004800791
423 -6.327961003 -6.002137729
424 -4.880821968 -6.327961003
425 -2.002137729 -4.880821968
426 -7.665979661 -2.002137729
427 -4.040554007 -7.665979661
428 8.370530196 -4.040554007
429 -0.452582913 8.370530196
430 2.997862271 -0.452582913
431 0.367380577 2.997862271
432 -4.933867167 0.367380577
433 2.119178032 -4.933867167
434 3.707482180 2.119178032
435 -5.004800791 3.707482180
436 -5.044315275 -5.004800791
437 3.274406107 -5.044315275
438 1.392873701 3.274406107
439 2.066132833 1.392873701
440 6.547417087 2.066132833
441 9.547417087 6.547417087
442 5.250404690 9.547417087
443 1.843801376 5.250404690
444 0.020692333 1.843801376
445 0.517339081 0.020692333
446 2.491845957 0.517339081
447 2.969747688 2.491845957
448 8.707482180 2.969747688
449 5.205258691 8.707482180
450 -4.933867167 5.205258691
451 5.547417087 -4.933867167
452 7.020692333 5.547417087
453 -3.004800791 7.020692333
454 -6.607126299 -3.004800791
455 5.083942930 -6.607126299
456 1.676519430 5.083942930
457 -3.075049772 1.676519430
458 -7.576163549 -3.075049772
459 0.995199209 -7.576163549
460 7.547417087 0.995199209
461 1.392873701 7.547417087
462 3.232027934 1.392873701
463 1.281507999 3.232027934
464 3.020692333 1.281507999
465 7.020692333 3.020692333
466 -8.482660919 7.020692333
467 5.707482180 -8.482660919
468 5.274406107 5.707482180
469 5.083942930 5.274406107
470 -4.500371527 5.083942930
471 -7.382333933 -4.500371527
472 3.651026306 -7.382333933
473 11.250404690 3.651026306
474 0.969747688 11.250404690
475 -2.508154043 0.969747688
476 5.083942930 -2.508154043
477 8.392873701 5.083942930
478 2.205258691 8.392873701
479 3.969747688 2.205258691
480 12.547417087 3.969747688
481 7.515673662 12.547417087
482 2.340448124 7.515673662
483 1.617666067 2.340448124
484 -0.323480570 1.617666067
485 4.246064816 -0.323480570
486 -1.916057070 4.246064816
487 -3.030252312 -1.916057070
488 2.617666067 -3.030252312
489 2.997862271 2.617666067
490 0.922324487 2.997862271
491 10.402823760 0.922324487
492 13.491845957 10.402823760
493 9.617666067 13.491845957
494 4.392873701 9.617666067
495 3.020692333 4.392873701
496 -4.979307667 3.020692333
497 7.873883448 -4.979307667
498 -6.002137729 7.873883448
499 -7.665979661 -6.002137729
500 -4.030252312 -7.665979661
501 1.969747688 -4.030252312
502 1.969747688 1.969747688
503 3.517339081 1.969747688
504 5.969747688 3.517339081
505 7.547417087 5.969747688
506 -0.004800791 7.547417087
507 10.488904419 -0.004800791
508 0.083942930 10.488904419
509 8.119178032 0.083942930
510 6.367380577 8.119178032
511 6.873883448 6.367380577
512 -0.608139013 6.873883448
513 -1.608139013 -0.608139013
514 2.391860987 -1.608139013
515 2.391860987 2.391860987
516 1.842780138 2.391860987
517 4.842780138 1.842780138
518 2.842780138 4.842780138
519 1.842780138 2.842780138
520 -0.608139013 1.842780138
521 NA -0.608139013
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] 2.385420174 1.385420174
[2,] -0.490082889 2.385420174
[3,] -3.725593893 -0.490082889
[4,] -7.665979661 -3.725593893
[5,] -0.216019781 -7.665979661
[6,] -2.216019781 -0.216019781
[7,] -1.330826425 -2.216019781
[8,] 0.669173575 -1.330826425
[9,] 3.669173575 0.669173575
[10,] -1.330826425 3.669173575
[11,] 0.783980219 -1.330826425
[12,] -4.979307667 0.783980219
[13,] -1.157219862 -4.979307667
[14,] 5.211988412 -1.157219862
[15,] -3.337517453 5.211988412
[16,] 0.924950228 -3.337517453
[17,] -3.660573113 0.924950228
[18,] -5.578403023 -3.660573113
[19,] 0.390839749 -5.578403023
[20,] -1.075049772 0.390839749
[21,] -6.482660919 -1.075049772
[22,] -3.337517453 -6.482660919
[23,] -2.979307667 -3.337517453
[24,] -3.323480570 -2.979307667
[25,] -4.578403023 -3.323480570
[26,] -3.660573113 -4.578403023
[27,] -4.075049772 -3.660573113
[28,] -1.157219862 -4.075049772
[29,] 1.959445993 -1.157219862
[30,] -1.861702670 1.959445993
[31,] -2.861702670 -1.861702670
[32,] -2.070636079 -2.861702670
[33,] -3.040554007 -2.070636079
[34,] -1.040554007 -3.040554007
[35,] -6.002137729 -1.040554007
[36,] -7.032219801 -6.002137729
[37,] -4.002137729 -7.032219801
[38,] -3.002137729 -4.002137729
[39,] -4.032219801 -3.002137729
[40,] 8.889241877 -4.032219801
[41,] 7.889241877 8.889241877
[42,] -2.216019781 7.889241877
[43,] 0.337506586 -2.216019781
[44,] -2.216019781 0.337506586
[45,] 1.232244929 -2.216019781
[46,] -1.767755071 1.232244929
[47,] -1.216019781 -1.767755071
[48,] -3.660573113 -1.216019781
[49,] -3.660573113 -3.660573113
[50,] -1.660573113 -3.660573113
[51,] 6.842780138 -1.660573113
[52,] -4.578403023 6.842780138
[53,] -2.660573113 -4.578403023
[54,] 0.421596977 -2.660573113
[55,] 1.517339081 0.421596977
[56,] 4.020692333 1.517339081
[57,] 0.843801376 4.020692333
[58,] -1.157219862 0.843801376
[59,] -2.004800791 -1.157219862
[60,] -3.660573113 -2.004800791
[61,] -2.157219862 -3.660573113
[62,] -5.508154043 -2.157219862
[63,] -3.660573113 -5.508154043
[64,] -4.075049772 -3.660573113
[65,] 3.995199209 -4.075049772
[66,] -0.075049772 3.995199209
[67,] 1.995199209 -0.075049772
[68,] -1.157219862 1.995199209
[69,] -5.660573113 -1.157219862
[70,] -3.156198624 -5.660573113
[71,] 0.842780138 -3.156198624
[72,] -3.075049772 0.842780138
[73,] -5.817377494 -3.075049772
[74,] -4.919238246 -5.817377494
[75,] 2.108215258 -4.919238246
[76,] -4.725593893 2.108215258
[77,] -4.725593893 -4.725593893
[78,] 1.385420174 -4.725593893
[79,] 0.969747688 1.385420174
[80,] 3.997862271 0.969747688
[81,] 24.638678759 3.997862271
[82,] 1.353343695 24.638678759
[83,] -1.753935184 1.353343695
[84,] -8.327961003 -1.753935184
[85,] -4.002137729 -8.327961003
[86,] -3.787295422 -4.002137729
[87,] -1.327961003 -3.787295422
[88,] 0.818349855 -1.327961003
[89,] 2.385420174 0.818349855
[90,] -6.784017256 2.385420174
[91,] -9.665979661 -6.784017256
[92,] 1.564271511 -9.665979661
[93,] -4.665979661 1.564271511
[94,] -0.032219801 -4.665979661
[95,] -4.665979661 -0.032219801
[96,] -2.753935184 -4.665979661
[97,] -7.004759188 -2.753935184
[98,] -4.794741309 -7.004759188
[99,] 2.108215258 -4.794741309
[100,] -3.002137729 2.108215258
[101,] -7.361321241 -3.002137729
[102,] 1.995240812 -7.361321241
[103,] 0.083942930 1.995240812
[104,] -1.435728489 0.083942930
[105,] -6.817377494 -1.435728489
[106,] -2.614579826 -6.817377494
[107,] -6.361321241 -2.614579826
[108,] -1.784017256 -6.361321241
[109,] -4.435728489 -1.784017256
[110,] -0.327961003 -4.435728489
[111,] -3.794741309 -0.327961003
[112,] 0.818349855 -3.794741309
[113,] -0.880821968 0.818349855
[114,] 2.995199209 -0.880821968
[115,] -3.156198624 2.995199209
[116,] -4.004800791 -3.156198624
[117,] 0.391860987 -4.004800791
[118,] 1.391860987 0.391860987
[119,] 0.391860987 1.391860987
[120,] -2.004800791 0.391860987
[121,] -0.786990350 -2.004800791
[122,] -0.608139013 -0.786990350
[123,] 1.391860987 -0.608139013
[124,] -2.075049772 1.391860987
[125,] 0.391860987 -2.075049772
[126,] -1.075049772 0.391860987
[127,] -2.500371527 -1.075049772
[128,] -2.500371527 -2.500371527
[129,] 0.959445993 -2.500371527
[130,] 0.083942930 0.959445993
[131,] -0.916057070 0.083942930
[132,] 2.119178032 -0.916057070
[133,] -8.632619423 2.119178032
[134,] -6.151568073 -8.632619423
[135,] 1.119178032 -6.151568073
[136,] 0.367380577 1.119178032
[137,] -4.665979661 0.367380577
[138,] 1.212704578 -4.665979661
[139,] -3.916057070 1.212704578
[140,] -1.151568073 -3.916057070
[141,] -0.503649694 -1.151568073
[142,] 1.083942930 -0.503649694
[143,] 6.651026306 1.083942930
[144,] -7.508154043 6.651026306
[145,] 3.995199209 -7.508154043
[146,] 4.959445993 3.995199209
[147,] 0.138297330 4.959445993
[148,] -5.632619423 0.138297330
[149,] -0.337517453 -5.632619423
[150,] 0.334020339 -0.337517453
[151,] 1.995199209 0.334020339
[152,] 4.020692333 1.995199209
[153,] 15.299857628 4.020692333
[154,] 6.299857628 15.299857628
[155,] -2.156198624 6.299857628
[156,] 0.970390729 -2.156198624
[157,] 6.970390729 0.970390729
[158,] -0.029609271 6.970390729
[159,] 2.340448124 -0.029609271
[160,] 9.340448124 2.340448124
[161,] -2.508154043 9.340448124
[162,] -0.508154043 -2.508154043
[163,] 0.421596977 -0.508154043
[164,] 3.491845957 0.421596977
[165,] -3.659551876 3.491845957
[166,] -6.659551876 -3.659551876
[167,] -4.578403023 -6.659551876
[168,] 3.421596977 -4.578403023
[169,] 17.491845957 3.421596977
[170,] -6.659551876 17.491845957
[171,] -3.323480570 -6.659551876
[172,] 2.485591590 -3.323480570
[173,] 7.421596977 2.485591590
[174,] 10.421596977 7.421596977
[175,] 5.580777325 10.421596977
[176,] -6.508154043 5.580777325
[177,] -1.578403023 -6.508154043
[178,] -1.659551876 -1.578403023
[179,] 7.340448124 -1.659551876
[180,] 14.340448124 7.340448124
[181,] -2.419222675 14.340448124
[182,] -7.659551876 -2.419222675
[183,] -0.578403023 -7.659551876
[184,] 1.340448124 -0.578403023
[185,] 4.340448124 1.340448124
[186,] 2.491845957 4.340448124
[187,] 1.299857628 2.491845957
[188,] 11.421596977 1.299857628
[189,] -0.419222675 11.421596977
[190,] -3.659551876 -0.419222675
[191,] 15.491845957 -3.659551876
[192,] 4.995199209 15.491845957
[193,] 4.340448124 4.995199209
[194,] 2.421596977 4.340448124
[195,] 2.491845957 2.421596977
[196,] 9.580777325 2.491845957
[197,] -0.578403023 9.580777325
[198,] 3.340448124 -0.578403023
[199,] 2.299857628 3.340448124
[200,] 0.995199209 2.299857628
[201,] -7.659551876 0.995199209
[202,] -2.659551876 -7.659551876
[203,] -0.508154043 -2.659551876
[204,] -2.659551876 -0.508154043
[205,] -2.419222675 -2.659551876
[206,] 11.491845957 -2.419222675
[207,] 4.340448124 11.491845957
[208,] 9.340448124 4.340448124
[209,] -5.659551876 9.340448124
[210,] 6.340448124 -5.659551876
[211,] -1.323480570 6.340448124
[212,] -2.508154043 -1.323480570
[213,] 3.421596977 -2.508154043
[214,] -1.323480570 3.421596977
[215,] 15.340448124 -1.323480570
[216,] -1.508154043 15.340448124
[217,] 5.340448124 -1.508154043
[218,] 7.340448124 5.340448124
[219,] 0.340448124 7.340448124
[220,] -4.514408410 0.340448124
[221,] -3.514408410 -4.514408410
[222,] -5.500371527 -3.514408410
[223,] -5.500371527 -5.500371527
[224,] -2.786990350 -5.500371527
[225,] -5.700142372 -2.786990350
[226,] -1.786990350 -5.700142372
[227,] -0.348973694 -1.786990350
[228,] -5.500371527 -0.348973694
[229,] -3.700142372 -5.500371527
[230,] -2.514408410 -3.700142372
[231,] -1.348973694 -2.514408410
[232,] -4.500371527 -1.348973694
[233,] 4.651026306 -4.500371527
[234,] -4.500371527 4.651026306
[235,] -5.500371527 -4.500371527
[236,] -5.700142372 -5.500371527
[237,] -1.756908278 -5.700142372
[238,] -3.225564767 -1.756908278
[239,] -1.470289455 -3.225564767
[240,] -2.632411342 -1.470289455
[241,] 2.842780138 -2.632411342
[242,] -2.632411342 2.842780138
[243,] -0.534753003 -2.632411342
[244,] -2.225564767 -0.534753003
[245,] -0.534753003 -2.225564767
[246,] -2.500371527 -0.534753003
[247,] 16.215982744 -2.500371527
[248,] 1.215982744 16.215982744
[249,] 10.215982744 1.215982744
[250,] 7.215982744 10.215982744
[251,] 5.215982744 7.215982744
[252,] 1.215982744 5.215982744
[253,] 3.215982744 1.215982744
[254,] 11.215982744 3.215982744
[255,] 13.215982744 11.215982744
[256,] 4.215982744 13.215982744
[257,] 8.215982744 4.215982744
[258,] 25.215982744 8.215982744
[259,] 8.394366816 25.215982744
[260,] 0.394366816 8.394366816
[261,] 1.394366816 0.394366816
[262,] -3.605633184 1.394366816
[263,] 0.421596977 -3.605633184
[264,] -0.470289455 0.421596977
[265,] 1.402823760 -0.470289455
[266,] 3.924950228 1.402823760
[267,] 2.402823760 3.924950228
[268,] -0.659551876 2.402823760
[269,] -5.578403023 -0.659551876
[270,] -7.578403023 -5.578403023
[271,] -3.419222675 -7.578403023
[272,] 5.514397543 -3.419222675
[273,] -4.485602457 5.514397543
[274,] -3.075049772 -4.485602457
[275,] 5.332574780 -3.075049772
[276,] 2.514397543 5.332574780
[277,] 3.873883448 2.514397543
[278,] -0.979307667 3.873883448
[279,] -1.456741180 -0.979307667
[280,] 1.643159191 -1.456741180
[281,] 4.402823760 1.643159191
[282,] -5.508154043 4.402823760
[283,] -3.508154043 -5.508154043
[284,] -7.578403023 -3.508154043
[285,] -4.156198624 -7.578403023
[286,] -6.578403023 -4.156198624
[287,] 1.473009839 -6.578403023
[288,] -2.578403023 1.473009839
[289,] -0.578403023 -2.578403023
[290,] -6.578403023 -0.578403023
[291,] -5.578403023 -6.578403023
[292,] 4.491845957 -5.578403023
[293,] -4.508154043 4.491845957
[294,] -2.667425220 -4.508154043
[295,] 1.332574780 -2.667425220
[296,] -1.667425220 1.332574780
[297,] -0.292517820 -1.667425220
[298,] -2.667425220 -0.292517820
[299,] -4.292517820 -2.667425220
[300,] -1.667425220 -4.292517820
[301,] -0.667425220 -1.667425220
[302,] -2.667425220 -0.667425220
[303,] -0.667425220 -2.667425220
[304,] -2.157219862 -0.667425220
[305,] 1.924950228 -2.157219862
[306,] -0.534753003 1.924950228
[307,] 3.418655439 -0.534753003
[308,] 1.465246997 3.418655439
[309,] -1.157219862 1.465246997
[310,] -4.075049772 -1.157219862
[311,] 3.484570353 -4.075049772
[312,] -1.534753003 3.484570353
[313,] -2.534753003 -1.534753003
[314,] -2.534753003 -2.534753003
[315,] -0.515429647 -2.534753003
[316,] -3.581344561 -0.515429647
[317,] -5.500371527 -3.581344561
[318,] -1.500371527 -5.500371527
[319,] -4.419222675 -1.500371527
[320,] -2.500371527 -4.419222675
[321,] -5.500371527 -2.500371527
[322,] -4.156198624 -5.500371527
[323,] -4.500371527 -4.156198624
[324,] -3.500371527 -4.500371527
[325,] 1.499628473 -3.500371527
[326,] -2.500371527 1.499628473
[327,] -5.500371527 -2.500371527
[328,] -2.075049772 -5.500371527
[329,] -1.157219862 -2.075049772
[330,] -0.157219862 -1.157219862
[331,] 0.580777325 -0.157219862
[332,] -2.482660919 0.580777325
[333,] -0.979307667 -2.482660919
[334,] -3.075049772 -0.979307667
[335,] -1.979307667 -3.075049772
[336,] -5.500371527 -1.979307667
[337,] -2.979307667 -5.500371527
[338,] -2.044315275 -2.979307667
[339,] -5.578403023 -2.044315275
[340,] -6.659551876 -5.578403023
[341,] -1.348973694 -6.659551876
[342,] -1.157219862 -1.348973694
[343,] 1.390839749 -1.157219862
[344,] -2.500371527 1.390839749
[345,] 6.499628473 -2.500371527
[346,] -4.500371527 6.499628473
[347,] 1.889241877 -4.500371527
[348,] -2.080676052 1.889241877
[349,] -5.500371527 -2.080676052
[350,] -4.959360291 -5.500371527
[351,] 4.211988412 -4.959360291
[352,] -0.419222675 4.211988412
[353,] 0.842780138 -0.419222675
[354,] 0.499628473 0.842780138
[355,] -2.157219862 0.499628473
[356,] 0.919323948 -2.157219862
[357,] -5.500371527 0.919323948
[358,] -1.419222675 -5.500371527
[359,] 3.774435233 -1.419222675
[360,] 5.924950228 3.774435233
[361,] 1.924950228 5.924950228
[362,] 3.391860987 1.924950228
[363,] -1.608139013 3.391860987
[364,] -2.605633184 -1.608139013
[365,] 4.394366816 -2.605633184
[366,] -2.608139013 4.394366816
[367,] 0.394366816 -2.608139013
[368,] -1.608139013 0.394366816
[369,] -2.029609271 -1.608139013
[370,] -3.080676052 -2.029609271
[371,] -2.029609271 -3.080676052
[372,] -0.029609271 -2.029609271
[373,] -2.029609271 -0.029609271
[374,] 3.919323948 -2.029609271
[375,] -0.080676052 3.919323948
[376,] 2.367380577 -0.080676052
[377,] 3.517339081 2.367380577
[378,] 4.676519430 3.517339081
[379,] 5.676519430 4.676519430
[380,] -0.323480570 5.676519430
[381,] -0.181650145 -0.323480570
[382,] -0.181650145 -0.181650145
[383,] 1.215982744 -0.181650145
[384,] -4.784017256 1.215982744
[385,] -1.979307667 -4.784017256
[386,] 1.969747688 -1.979307667
[387,] 0.367380577 1.969747688
[388,] 5.676519430 0.367380577
[389,] 3.676519430 5.676519430
[390,] -0.323480570 3.676519430
[391,] 3.020692333 -0.323480570
[392,] 4.676519430 3.020692333
[393,] -2.794741309 4.676519430
[394,] 0.205258691 -2.794741309
[395,] 1.969747688 0.205258691
[396,] 2.020692333 1.969747688
[397,] -3.156198624 2.020692333
[398,] 1.843801376 -3.156198624
[399,] -3.004800791 1.843801376
[400,] -0.156198624 -3.004800791
[401,] -0.156198624 -0.156198624
[402,] -1.323480570 -0.156198624
[403,] -3.348973694 -1.323480570
[404,] -4.348973694 -3.348973694
[405,] -2.323480570 -4.348973694
[406,] -3.482660919 -2.323480570
[407,] -6.482660919 -3.482660919
[408,] 0.517339081 -6.482660919
[409,] -2.605633184 0.517339081
[410,] -4.662493414 -2.605633184
[411,] -3.748574073 -4.662493414
[412,] -1.597176240 -3.748574073
[413,] -3.597176240 -1.597176240
[414,] -4.662493414 -3.597176240
[415,] -4.662493414 -4.662493414
[416,] -5.004800791 -4.662493414
[417,] -5.004800791 -5.004800791
[418,] -5.004800791 -5.004800791
[419,] -3.348973694 -5.004800791
[420,] -4.348973694 -3.348973694
[421,] -4.004800791 -4.348973694
[422,] -6.002137729 -4.004800791
[423,] -6.327961003 -6.002137729
[424,] -4.880821968 -6.327961003
[425,] -2.002137729 -4.880821968
[426,] -7.665979661 -2.002137729
[427,] -4.040554007 -7.665979661
[428,] 8.370530196 -4.040554007
[429,] -0.452582913 8.370530196
[430,] 2.997862271 -0.452582913
[431,] 0.367380577 2.997862271
[432,] -4.933867167 0.367380577
[433,] 2.119178032 -4.933867167
[434,] 3.707482180 2.119178032
[435,] -5.004800791 3.707482180
[436,] -5.044315275 -5.004800791
[437,] 3.274406107 -5.044315275
[438,] 1.392873701 3.274406107
[439,] 2.066132833 1.392873701
[440,] 6.547417087 2.066132833
[441,] 9.547417087 6.547417087
[442,] 5.250404690 9.547417087
[443,] 1.843801376 5.250404690
[444,] 0.020692333 1.843801376
[445,] 0.517339081 0.020692333
[446,] 2.491845957 0.517339081
[447,] 2.969747688 2.491845957
[448,] 8.707482180 2.969747688
[449,] 5.205258691 8.707482180
[450,] -4.933867167 5.205258691
[451,] 5.547417087 -4.933867167
[452,] 7.020692333 5.547417087
[453,] -3.004800791 7.020692333
[454,] -6.607126299 -3.004800791
[455,] 5.083942930 -6.607126299
[456,] 1.676519430 5.083942930
[457,] -3.075049772 1.676519430
[458,] -7.576163549 -3.075049772
[459,] 0.995199209 -7.576163549
[460,] 7.547417087 0.995199209
[461,] 1.392873701 7.547417087
[462,] 3.232027934 1.392873701
[463,] 1.281507999 3.232027934
[464,] 3.020692333 1.281507999
[465,] 7.020692333 3.020692333
[466,] -8.482660919 7.020692333
[467,] 5.707482180 -8.482660919
[468,] 5.274406107 5.707482180
[469,] 5.083942930 5.274406107
[470,] -4.500371527 5.083942930
[471,] -7.382333933 -4.500371527
[472,] 3.651026306 -7.382333933
[473,] 11.250404690 3.651026306
[474,] 0.969747688 11.250404690
[475,] -2.508154043 0.969747688
[476,] 5.083942930 -2.508154043
[477,] 8.392873701 5.083942930
[478,] 2.205258691 8.392873701
[479,] 3.969747688 2.205258691
[480,] 12.547417087 3.969747688
[481,] 7.515673662 12.547417087
[482,] 2.340448124 7.515673662
[483,] 1.617666067 2.340448124
[484,] -0.323480570 1.617666067
[485,] 4.246064816 -0.323480570
[486,] -1.916057070 4.246064816
[487,] -3.030252312 -1.916057070
[488,] 2.617666067 -3.030252312
[489,] 2.997862271 2.617666067
[490,] 0.922324487 2.997862271
[491,] 10.402823760 0.922324487
[492,] 13.491845957 10.402823760
[493,] 9.617666067 13.491845957
[494,] 4.392873701 9.617666067
[495,] 3.020692333 4.392873701
[496,] -4.979307667 3.020692333
[497,] 7.873883448 -4.979307667
[498,] -6.002137729 7.873883448
[499,] -7.665979661 -6.002137729
[500,] -4.030252312 -7.665979661
[501,] 1.969747688 -4.030252312
[502,] 1.969747688 1.969747688
[503,] 3.517339081 1.969747688
[504,] 5.969747688 3.517339081
[505,] 7.547417087 5.969747688
[506,] -0.004800791 7.547417087
[507,] 10.488904419 -0.004800791
[508,] 0.083942930 10.488904419
[509,] 8.119178032 0.083942930
[510,] 6.367380577 8.119178032
[511,] 6.873883448 6.367380577
[512,] -0.608139013 6.873883448
[513,] -1.608139013 -0.608139013
[514,] 2.391860987 -1.608139013
[515,] 2.391860987 2.391860987
[516,] 1.842780138 2.391860987
[517,] 4.842780138 1.842780138
[518,] 2.842780138 4.842780138
[519,] 1.842780138 2.842780138
[520,] -0.608139013 1.842780138
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 2.385420174 1.385420174
2 -0.490082889 2.385420174
3 -3.725593893 -0.490082889
4 -7.665979661 -3.725593893
5 -0.216019781 -7.665979661
6 -2.216019781 -0.216019781
7 -1.330826425 -2.216019781
8 0.669173575 -1.330826425
9 3.669173575 0.669173575
10 -1.330826425 3.669173575
11 0.783980219 -1.330826425
12 -4.979307667 0.783980219
13 -1.157219862 -4.979307667
14 5.211988412 -1.157219862
15 -3.337517453 5.211988412
16 0.924950228 -3.337517453
17 -3.660573113 0.924950228
18 -5.578403023 -3.660573113
19 0.390839749 -5.578403023
20 -1.075049772 0.390839749
21 -6.482660919 -1.075049772
22 -3.337517453 -6.482660919
23 -2.979307667 -3.337517453
24 -3.323480570 -2.979307667
25 -4.578403023 -3.323480570
26 -3.660573113 -4.578403023
27 -4.075049772 -3.660573113
28 -1.157219862 -4.075049772
29 1.959445993 -1.157219862
30 -1.861702670 1.959445993
31 -2.861702670 -1.861702670
32 -2.070636079 -2.861702670
33 -3.040554007 -2.070636079
34 -1.040554007 -3.040554007
35 -6.002137729 -1.040554007
36 -7.032219801 -6.002137729
37 -4.002137729 -7.032219801
38 -3.002137729 -4.002137729
39 -4.032219801 -3.002137729
40 8.889241877 -4.032219801
41 7.889241877 8.889241877
42 -2.216019781 7.889241877
43 0.337506586 -2.216019781
44 -2.216019781 0.337506586
45 1.232244929 -2.216019781
46 -1.767755071 1.232244929
47 -1.216019781 -1.767755071
48 -3.660573113 -1.216019781
49 -3.660573113 -3.660573113
50 -1.660573113 -3.660573113
51 6.842780138 -1.660573113
52 -4.578403023 6.842780138
53 -2.660573113 -4.578403023
54 0.421596977 -2.660573113
55 1.517339081 0.421596977
56 4.020692333 1.517339081
57 0.843801376 4.020692333
58 -1.157219862 0.843801376
59 -2.004800791 -1.157219862
60 -3.660573113 -2.004800791
61 -2.157219862 -3.660573113
62 -5.508154043 -2.157219862
63 -3.660573113 -5.508154043
64 -4.075049772 -3.660573113
65 3.995199209 -4.075049772
66 -0.075049772 3.995199209
67 1.995199209 -0.075049772
68 -1.157219862 1.995199209
69 -5.660573113 -1.157219862
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73 -5.817377494 -3.075049772
74 -4.919238246 -5.817377494
75 2.108215258 -4.919238246
76 -4.725593893 2.108215258
77 -4.725593893 -4.725593893
78 1.385420174 -4.725593893
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80 3.997862271 0.969747688
81 24.638678759 3.997862271
82 1.353343695 24.638678759
83 -1.753935184 1.353343695
84 -8.327961003 -1.753935184
85 -4.002137729 -8.327961003
86 -3.787295422 -4.002137729
87 -1.327961003 -3.787295422
88 0.818349855 -1.327961003
89 2.385420174 0.818349855
90 -6.784017256 2.385420174
91 -9.665979661 -6.784017256
92 1.564271511 -9.665979661
93 -4.665979661 1.564271511
94 -0.032219801 -4.665979661
95 -4.665979661 -0.032219801
96 -2.753935184 -4.665979661
97 -7.004759188 -2.753935184
98 -4.794741309 -7.004759188
99 2.108215258 -4.794741309
100 -3.002137729 2.108215258
101 -7.361321241 -3.002137729
102 1.995240812 -7.361321241
103 0.083942930 1.995240812
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105 -6.817377494 -1.435728489
106 -2.614579826 -6.817377494
107 -6.361321241 -2.614579826
108 -1.784017256 -6.361321241
109 -4.435728489 -1.784017256
110 -0.327961003 -4.435728489
111 -3.794741309 -0.327961003
112 0.818349855 -3.794741309
113 -0.880821968 0.818349855
114 2.995199209 -0.880821968
115 -3.156198624 2.995199209
116 -4.004800791 -3.156198624
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119 0.391860987 1.391860987
120 -2.004800791 0.391860987
121 -0.786990350 -2.004800791
122 -0.608139013 -0.786990350
123 1.391860987 -0.608139013
124 -2.075049772 1.391860987
125 0.391860987 -2.075049772
126 -1.075049772 0.391860987
127 -2.500371527 -1.075049772
128 -2.500371527 -2.500371527
129 0.959445993 -2.500371527
130 0.083942930 0.959445993
131 -0.916057070 0.083942930
132 2.119178032 -0.916057070
133 -8.632619423 2.119178032
134 -6.151568073 -8.632619423
135 1.119178032 -6.151568073
136 0.367380577 1.119178032
137 -4.665979661 0.367380577
138 1.212704578 -4.665979661
139 -3.916057070 1.212704578
140 -1.151568073 -3.916057070
141 -0.503649694 -1.151568073
142 1.083942930 -0.503649694
143 6.651026306 1.083942930
144 -7.508154043 6.651026306
145 3.995199209 -7.508154043
146 4.959445993 3.995199209
147 0.138297330 4.959445993
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149 -0.337517453 -5.632619423
150 0.334020339 -0.337517453
151 1.995199209 0.334020339
152 4.020692333 1.995199209
153 15.299857628 4.020692333
154 6.299857628 15.299857628
155 -2.156198624 6.299857628
156 0.970390729 -2.156198624
157 6.970390729 0.970390729
158 -0.029609271 6.970390729
159 2.340448124 -0.029609271
160 9.340448124 2.340448124
161 -2.508154043 9.340448124
162 -0.508154043 -2.508154043
163 0.421596977 -0.508154043
164 3.491845957 0.421596977
165 -3.659551876 3.491845957
166 -6.659551876 -3.659551876
167 -4.578403023 -6.659551876
168 3.421596977 -4.578403023
169 17.491845957 3.421596977
170 -6.659551876 17.491845957
171 -3.323480570 -6.659551876
172 2.485591590 -3.323480570
173 7.421596977 2.485591590
174 10.421596977 7.421596977
175 5.580777325 10.421596977
176 -6.508154043 5.580777325
177 -1.578403023 -6.508154043
178 -1.659551876 -1.578403023
179 7.340448124 -1.659551876
180 14.340448124 7.340448124
181 -2.419222675 14.340448124
182 -7.659551876 -2.419222675
183 -0.578403023 -7.659551876
184 1.340448124 -0.578403023
185 4.340448124 1.340448124
186 2.491845957 4.340448124
187 1.299857628 2.491845957
188 11.421596977 1.299857628
189 -0.419222675 11.421596977
190 -3.659551876 -0.419222675
191 15.491845957 -3.659551876
192 4.995199209 15.491845957
193 4.340448124 4.995199209
194 2.421596977 4.340448124
195 2.491845957 2.421596977
196 9.580777325 2.491845957
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198 3.340448124 -0.578403023
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200 0.995199209 2.299857628
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203 -0.508154043 -2.659551876
204 -2.659551876 -0.508154043
205 -2.419222675 -2.659551876
206 11.491845957 -2.419222675
207 4.340448124 11.491845957
208 9.340448124 4.340448124
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210 6.340448124 -5.659551876
211 -1.323480570 6.340448124
212 -2.508154043 -1.323480570
213 3.421596977 -2.508154043
214 -1.323480570 3.421596977
215 15.340448124 -1.323480570
216 -1.508154043 15.340448124
217 5.340448124 -1.508154043
218 7.340448124 5.340448124
219 0.340448124 7.340448124
220 -4.514408410 0.340448124
221 -3.514408410 -4.514408410
222 -5.500371527 -3.514408410
223 -5.500371527 -5.500371527
224 -2.786990350 -5.500371527
225 -5.700142372 -2.786990350
226 -1.786990350 -5.700142372
227 -0.348973694 -1.786990350
228 -5.500371527 -0.348973694
229 -3.700142372 -5.500371527
230 -2.514408410 -3.700142372
231 -1.348973694 -2.514408410
232 -4.500371527 -1.348973694
233 4.651026306 -4.500371527
234 -4.500371527 4.651026306
235 -5.500371527 -4.500371527
236 -5.700142372 -5.500371527
237 -1.756908278 -5.700142372
238 -3.225564767 -1.756908278
239 -1.470289455 -3.225564767
240 -2.632411342 -1.470289455
241 2.842780138 -2.632411342
242 -2.632411342 2.842780138
243 -0.534753003 -2.632411342
244 -2.225564767 -0.534753003
245 -0.534753003 -2.225564767
246 -2.500371527 -0.534753003
247 16.215982744 -2.500371527
248 1.215982744 16.215982744
249 10.215982744 1.215982744
250 7.215982744 10.215982744
251 5.215982744 7.215982744
252 1.215982744 5.215982744
253 3.215982744 1.215982744
254 11.215982744 3.215982744
255 13.215982744 11.215982744
256 4.215982744 13.215982744
257 8.215982744 4.215982744
258 25.215982744 8.215982744
259 8.394366816 25.215982744
260 0.394366816 8.394366816
261 1.394366816 0.394366816
262 -3.605633184 1.394366816
263 0.421596977 -3.605633184
264 -0.470289455 0.421596977
265 1.402823760 -0.470289455
266 3.924950228 1.402823760
267 2.402823760 3.924950228
268 -0.659551876 2.402823760
269 -5.578403023 -0.659551876
270 -7.578403023 -5.578403023
271 -3.419222675 -7.578403023
272 5.514397543 -3.419222675
273 -4.485602457 5.514397543
274 -3.075049772 -4.485602457
275 5.332574780 -3.075049772
276 2.514397543 5.332574780
277 3.873883448 2.514397543
278 -0.979307667 3.873883448
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280 1.643159191 -1.456741180
281 4.402823760 1.643159191
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283 -3.508154043 -5.508154043
284 -7.578403023 -3.508154043
285 -4.156198624 -7.578403023
286 -6.578403023 -4.156198624
287 1.473009839 -6.578403023
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290 -6.578403023 -0.578403023
291 -5.578403023 -6.578403023
292 4.491845957 -5.578403023
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301 -0.667425220 -1.667425220
302 -2.667425220 -0.667425220
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304 -2.157219862 -0.667425220
305 1.924950228 -2.157219862
306 -0.534753003 1.924950228
307 3.418655439 -0.534753003
308 1.465246997 3.418655439
309 -1.157219862 1.465246997
310 -4.075049772 -1.157219862
311 3.484570353 -4.075049772
312 -1.534753003 3.484570353
313 -2.534753003 -1.534753003
314 -2.534753003 -2.534753003
315 -0.515429647 -2.534753003
316 -3.581344561 -0.515429647
317 -5.500371527 -3.581344561
318 -1.500371527 -5.500371527
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320 -2.500371527 -4.419222675
321 -5.500371527 -2.500371527
322 -4.156198624 -5.500371527
323 -4.500371527 -4.156198624
324 -3.500371527 -4.500371527
325 1.499628473 -3.500371527
326 -2.500371527 1.499628473
327 -5.500371527 -2.500371527
328 -2.075049772 -5.500371527
329 -1.157219862 -2.075049772
330 -0.157219862 -1.157219862
331 0.580777325 -0.157219862
332 -2.482660919 0.580777325
333 -0.979307667 -2.482660919
334 -3.075049772 -0.979307667
335 -1.979307667 -3.075049772
336 -5.500371527 -1.979307667
337 -2.979307667 -5.500371527
338 -2.044315275 -2.979307667
339 -5.578403023 -2.044315275
340 -6.659551876 -5.578403023
341 -1.348973694 -6.659551876
342 -1.157219862 -1.348973694
343 1.390839749 -1.157219862
344 -2.500371527 1.390839749
345 6.499628473 -2.500371527
346 -4.500371527 6.499628473
347 1.889241877 -4.500371527
348 -2.080676052 1.889241877
349 -5.500371527 -2.080676052
350 -4.959360291 -5.500371527
351 4.211988412 -4.959360291
352 -0.419222675 4.211988412
353 0.842780138 -0.419222675
354 0.499628473 0.842780138
355 -2.157219862 0.499628473
356 0.919323948 -2.157219862
357 -5.500371527 0.919323948
358 -1.419222675 -5.500371527
359 3.774435233 -1.419222675
360 5.924950228 3.774435233
361 1.924950228 5.924950228
362 3.391860987 1.924950228
363 -1.608139013 3.391860987
364 -2.605633184 -1.608139013
365 4.394366816 -2.605633184
366 -2.608139013 4.394366816
367 0.394366816 -2.608139013
368 -1.608139013 0.394366816
369 -2.029609271 -1.608139013
370 -3.080676052 -2.029609271
371 -2.029609271 -3.080676052
372 -0.029609271 -2.029609271
373 -2.029609271 -0.029609271
374 3.919323948 -2.029609271
375 -0.080676052 3.919323948
376 2.367380577 -0.080676052
377 3.517339081 2.367380577
378 4.676519430 3.517339081
379 5.676519430 4.676519430
380 -0.323480570 5.676519430
381 -0.181650145 -0.323480570
382 -0.181650145 -0.181650145
383 1.215982744 -0.181650145
384 -4.784017256 1.215982744
385 -1.979307667 -4.784017256
386 1.969747688 -1.979307667
387 0.367380577 1.969747688
388 5.676519430 0.367380577
389 3.676519430 5.676519430
390 -0.323480570 3.676519430
391 3.020692333 -0.323480570
392 4.676519430 3.020692333
393 -2.794741309 4.676519430
394 0.205258691 -2.794741309
395 1.969747688 0.205258691
396 2.020692333 1.969747688
397 -3.156198624 2.020692333
398 1.843801376 -3.156198624
399 -3.004800791 1.843801376
400 -0.156198624 -3.004800791
401 -0.156198624 -0.156198624
402 -1.323480570 -0.156198624
403 -3.348973694 -1.323480570
404 -4.348973694 -3.348973694
405 -2.323480570 -4.348973694
406 -3.482660919 -2.323480570
407 -6.482660919 -3.482660919
408 0.517339081 -6.482660919
409 -2.605633184 0.517339081
410 -4.662493414 -2.605633184
411 -3.748574073 -4.662493414
412 -1.597176240 -3.748574073
413 -3.597176240 -1.597176240
414 -4.662493414 -3.597176240
415 -4.662493414 -4.662493414
416 -5.004800791 -4.662493414
417 -5.004800791 -5.004800791
418 -5.004800791 -5.004800791
419 -3.348973694 -5.004800791
420 -4.348973694 -3.348973694
421 -4.004800791 -4.348973694
422 -6.002137729 -4.004800791
423 -6.327961003 -6.002137729
424 -4.880821968 -6.327961003
425 -2.002137729 -4.880821968
426 -7.665979661 -2.002137729
427 -4.040554007 -7.665979661
428 8.370530196 -4.040554007
429 -0.452582913 8.370530196
430 2.997862271 -0.452582913
431 0.367380577 2.997862271
432 -4.933867167 0.367380577
433 2.119178032 -4.933867167
434 3.707482180 2.119178032
435 -5.004800791 3.707482180
436 -5.044315275 -5.004800791
437 3.274406107 -5.044315275
438 1.392873701 3.274406107
439 2.066132833 1.392873701
440 6.547417087 2.066132833
441 9.547417087 6.547417087
442 5.250404690 9.547417087
443 1.843801376 5.250404690
444 0.020692333 1.843801376
445 0.517339081 0.020692333
446 2.491845957 0.517339081
447 2.969747688 2.491845957
448 8.707482180 2.969747688
449 5.205258691 8.707482180
450 -4.933867167 5.205258691
451 5.547417087 -4.933867167
452 7.020692333 5.547417087
453 -3.004800791 7.020692333
454 -6.607126299 -3.004800791
455 5.083942930 -6.607126299
456 1.676519430 5.083942930
457 -3.075049772 1.676519430
458 -7.576163549 -3.075049772
459 0.995199209 -7.576163549
460 7.547417087 0.995199209
461 1.392873701 7.547417087
462 3.232027934 1.392873701
463 1.281507999 3.232027934
464 3.020692333 1.281507999
465 7.020692333 3.020692333
466 -8.482660919 7.020692333
467 5.707482180 -8.482660919
468 5.274406107 5.707482180
469 5.083942930 5.274406107
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477 8.392873701 5.083942930
478 2.205258691 8.392873701
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480 12.547417087 3.969747688
481 7.515673662 12.547417087
482 2.340448124 7.515673662
483 1.617666067 2.340448124
484 -0.323480570 1.617666067
485 4.246064816 -0.323480570
486 -1.916057070 4.246064816
487 -3.030252312 -1.916057070
488 2.617666067 -3.030252312
489 2.997862271 2.617666067
490 0.922324487 2.997862271
491 10.402823760 0.922324487
492 13.491845957 10.402823760
493 9.617666067 13.491845957
494 4.392873701 9.617666067
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498 -6.002137729 7.873883448
499 -7.665979661 -6.002137729
500 -4.030252312 -7.665979661
501 1.969747688 -4.030252312
502 1.969747688 1.969747688
503 3.517339081 1.969747688
504 5.969747688 3.517339081
505 7.547417087 5.969747688
506 -0.004800791 7.547417087
507 10.488904419 -0.004800791
508 0.083942930 10.488904419
509 8.119178032 0.083942930
510 6.367380577 8.119178032
511 6.873883448 6.367380577
512 -0.608139013 6.873883448
513 -1.608139013 -0.608139013
514 2.391860987 -1.608139013
515 2.391860987 2.391860987
516 1.842780138 2.391860987
517 4.842780138 1.842780138
518 2.842780138 4.842780138
519 1.842780138 2.842780138
520 -0.608139013 1.842780138
> 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/wessaorg/rcomp/tmp/7335c1355227021.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/wessaorg/rcomp/tmp/82c5p1355227021.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/wessaorg/rcomp/tmp/9k9bl1355227021.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/wessaorg/rcomp/tmp/10exkw1355227021.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/11hocl1355227021.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$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$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/12kfrl1355227021.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, sqrt(mysum$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$sigma)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, sum(myerror*myerror))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/13yu8v1355227022.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]-mysum$resid[i])
+ a<-table.element(a,mysum$resid[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/14euq01355227022.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/wessaorg/rcomp/tmp/15v5e51355227022.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/wessaorg/rcomp/tmp/16ldcn1355227022.tab")
+ }
>
> try(system("convert tmp/1e59l1355227021.ps tmp/1e59l1355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/23ef71355227021.ps tmp/23ef71355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/3if7n1355227021.ps tmp/3if7n1355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/432q41355227021.ps tmp/432q41355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/57ds21355227021.ps tmp/57ds21355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/6kslx1355227021.ps tmp/6kslx1355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/7335c1355227021.ps tmp/7335c1355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/82c5p1355227021.ps tmp/82c5p1355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/9k9bl1355227021.ps tmp/9k9bl1355227021.png",intern=TRUE))
character(0)
> try(system("convert tmp/10exkw1355227021.ps tmp/10exkw1355227021.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
51.872 1.694 53.569