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
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+ ,0
+ ,0
+ ,0
+ ,1
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+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,1
+ ,0
+ ,0
+ ,0
+ ,0
+ ,1
+ ,2
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,1
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,0
+ ,1
+ ,0
+ ,0)
+ ,dim=c(23
+ ,521)
+ ,dimnames=list(c('y'
+ ,'c2'
+ ,'scha05'
+ ,'sch06'
+ ,'sch31'
+ ,'sch00'
+ ,'sch53'
+ ,'sch16'
+ ,'sch41'
+ ,'sch17'
+ ,'sch40'
+ ,'sch10'
+ ,'sch01'
+ ,'hak3'
+ ,'hak5'
+ ,'hak0'
+ ,'hak6'
+ ,'hak8'
+ ,'hak7'
+ ,'hak4'
+ ,'type0'
+ ,'type1'
+ ,'type3')
+ ,1:521))
> y <- array(NA,dim=c(23,521),dimnames=list(c('y','c2','scha05','sch06','sch31','sch00','sch53','sch16','sch41','sch17','sch40','sch10','sch01','hak3','hak5','hak0','hak6','hak8','hak7','hak4','type0','type1','type3'),1:521))
> for (i in 1:dim(x)[1])
+ {
+ for (j in 1:dim(x)[2])
+ {
+ y[i,j] <- as.numeric(x[i,j])
+ }
+ }
> par3 = 'No Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '1'
> 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
138 6 1 0 0 0 1 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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148 5 1 0 0 0 0 0 0 0 0 0 1 0
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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
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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
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192 24 0 0 0 0 0 0 0 0 0 1 0 0
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225 0 0 1 0 0 0 0 0 0 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
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255 20 1 0 0 0 0 0 0 0 0 0 0 0
256 22 1 0 0 0 0 0 0 0 0 0 0 0
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258 17 1 0 0 0 0 0 0 0 0 0 0 0
259 34 1 0 0 0 0 0 0 0 0 0 0 0
260 13 0 0 0 0 0 0 0 0 0 0 0 0
261 5 0 0 0 0 0 0 0 0 0 0 0 0
262 6 0 0 0 0 0 0 0 0 0 0 0 0
263 1 0 0 0 0 0 0 0 0 0 0 0 0
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311 0 0 0 0 0 1 0 0 0 1
312 0 0 0 0 1 0 0 0 0 1
313 0 0 0 0 1 0 0 0 0 1
314 0 0 0 0 1 0 0 0 0 1
315 0 0 0 0 1 0 0 0 0 1
316 0 0 0 0 1 0 0 0 0 1
317 0 0 0 0 0 1 0 0 0 1
318 0 0 0 0 0 0 0 0 1 0
319 0 0 0 0 0 0 0 0 1 0
320 0 0 0 0 0 1 0 1 0 0
321 0 0 0 0 0 0 0 0 1 0
322 0 0 0 0 0 0 0 1 0 0
323 0 0 0 0 0 0 0 1 0 0
324 0 0 0 0 0 0 0 0 1 0
325 0 0 0 0 0 0 0 0 1 0
326 0 0 0 0 0 0 0 0 1 0
327 0 0 0 0 0 0 0 0 1 0
328 0 0 0 0 0 0 0 0 1 0
329 0 0 0 0 0 1 0 0 0 1
330 0 0 0 0 1 0 0 0 0 1
331 0 0 0 0 1 0 0 0 0 1
332 0 0 0 0 0 1 0 0 0 1
333 0 0 0 1 0 0 0 0 0 1
334 0 0 0 1 0 0 0 0 0 1
335 0 0 0 0 0 1 0 0 0 1
336 0 0 0 1 0 0 0 0 0 1
337 0 0 0 0 0 0 0 0 1 0
338 0 0 0 1 0 0 0 1 0 0
339 1 0 0 0 0 0 0 0 1 0
340 0 0 0 0 0 1 0 1 0 0
341 0 0 0 0 0 0 0 1 0 0
342 0 1 0 0 0 0 0 0 1 0
343 0 0 0 0 1 0 0 0 0 1
344 0 0 0 0 1 0 0 0 0 1
345 0 0 0 0 0 0 0 0 1 0
346 0 0 0 0 0 0 0 0 1 0
347 0 0 0 0 0 0 0 0 1 0
348 0 0 0 0 0 0 0 0 1 0
349 0 0 0 0 0 0 1 0 1 0
350 0 0 0 0 0 0 0 0 1 0
351 0 1 0 0 0 0 0 0 1 0
352 0 0 0 0 1 0 0 0 0 1
353 0 0 0 0 0 1 0 0 1 0
354 0 0 0 0 1 0 0 0 0 1
355 0 0 0 0 0 0 0 0 1 0
356 0 0 0 0 1 0 0 0 0 1
357 0 0 0 0 0 0 1 0 1 0
358 0 0 0 0 0 0 0 0 1 0
359 0 0 0 0 0 1 0 0 1 0
360 0 0 0 0 0 0 0 0 1 0
361 0 0 0 0 0 1 0 0 1 0
362 0 0 0 0 0 1 0 0 1 0
363 0 0 0 0 0 0 0 1 0 0
364 0 0 0 0 0 0 0 1 0 0
365 0 0 1 0 0 0 0 1 0 0
366 0 0 1 0 0 0 0 1 0 0
367 0 0 0 0 0 0 0 1 0 0
368 0 0 1 0 0 0 0 1 0 0
369 0 0 0 0 0 0 0 1 0 0
370 0 0 0 0 0 1 0 0 1 0
371 0 0 0 0 0 0 1 0 1 0
372 0 0 0 0 0 1 0 0 1 0
373 0 0 0 0 0 1 0 0 1 0
374 0 0 0 0 0 1 0 0 1 0
375 0 0 0 0 0 0 1 0 1 0
376 0 0 0 0 0 0 1 0 1 0
377 0 1 0 0 0 0 0 1 0 0
378 0 0 0 1 0 0 0 1 0 0
379 0 0 0 1 0 0 0 1 0 0
380 0 0 0 1 0 0 0 1 0 0
381 0 0 0 1 0 0 0 1 0 0
382 0 0 0 0 0 0 0 1 0 0
383 0 0 0 0 0 0 0 1 0 0
384 0 0 0 0 0 0 0 1 0 0
385 0 0 0 0 0 0 0 1 0 0
386 0 0 0 1 0 0 0 1 0 0
387 0 1 0 0 0 0 0 1 0 0
388 0 1 0 0 0 0 0 1 0 0
389 0 0 0 1 0 0 0 1 0 0
390 0 0 0 1 0 0 0 1 0 0
391 0 0 0 1 0 0 0 1 0 0
392 0 0 0 1 0 0 0 1 0 0
393 0 0 0 1 0 0 0 1 0 0
394 0 1 0 0 0 0 0 1 0 0
395 0 1 0 0 0 0 0 1 0 0
396 0 1 0 0 0 0 0 1 0 0
397 0 0 0 1 0 0 0 1 0 0
398 0 0 0 0 0 0 0 1 0 0
399 0 0 0 0 0 0 0 1 0 0
400 0 1 0 0 0 0 0 1 0 0
401 0 0 0 0 0 0 0 1 0 0
402 0 0 0 0 0 0 0 1 0 0
403 0 0 0 1 0 0 0 0 0 1
404 0 1 0 0 0 0 0 1 0 0
405 0 1 0 0 0 0 0 1 0 0
406 0 0 0 1 0 0 0 0 0 1
407 0 0 0 1 0 0 0 0 0 1
408 0 0 0 1 0 0 0 0 0 1
409 0 0 0 1 0 0 0 0 0 1
410 0 0 1 0 0 0 0 1 0 0
411 0 0 0 0 0 0 0 0 0 1
412 0 0 0 0 0 0 0 0 0 1
413 0 1 0 0 0 0 0 1 0 0
414 0 1 0 0 0 0 0 1 0 0
415 0 0 0 0 0 0 0 0 0 1
416 0 0 0 0 0 0 0 0 0 1
417 0 1 0 0 0 0 0 1 0 0
418 0 1 0 0 0 0 0 1 0 0
419 0 1 0 0 0 0 0 1 0 0
420 0 1 0 0 0 0 0 1 0 0
421 0 1 0 0 0 0 0 1 0 0
422 0 1 0 0 0 0 0 1 0 0
423 0 0 0 0 0 0 1 1 0 0
424 1 0 0 0 0 0 0 0 1 0
425 0 1 0 0 0 0 0 1 0 0
426 0 0 0 0 0 0 1 1 0 0
427 0 1 0 0 0 0 0 1 0 0
428 0 0 0 0 0 0 1 1 0 0
429 0 0 0 0 0 0 1 1 0 0
430 0 0 0 0 0 1 0 0 0 1
431 0 0 0 0 0 0 1 1 0 0
432 0 1 0 0 0 0 0 1 0 0
433 0 0 0 1 0 0 0 0 1 0
434 0 1 0 0 0 0 0 1 0 0
435 1 0 0 0 0 0 0 1 0 0
436 0 1 0 0 0 0 0 1 0 0
437 1 0 0 0 0 0 0 1 0 0
438 1 0 0 0 0 0 0 1 0 0
439 0 0 0 1 0 0 0 1 0 0
440 0 0 0 1 0 0 0 0 1 0
441 0 0 0 0 0 1 0 0 0 1
442 0 0 0 0 0 1 0 0 0 1
443 0 0 0 0 1 0 0 1 0 0
444 0 0 0 0 0 0 0 1 0 0
445 0 0 0 1 0 0 0 0 1 0
446 0 0 0 1 0 0 0 0 0 1
447 0 1 0 0 0 0 0 1 0 0
448 0 1 0 0 0 0 0 1 0 0
449 1 0 0 0 0 0 0 1 0 0
450 0 1 0 0 0 0 0 1 0 0
451 0 0 0 1 0 0 0 0 1 0
452 0 0 0 0 0 1 0 0 0 1
453 0 0 0 1 0 0 0 1 0 0
454 0 1 0 0 0 0 0 1 0 0
455 0 0 0 1 0 0 0 1 0 0
456 0 0 0 0 0 0 1 1 0 0
457 0 0 0 1 0 0 0 1 0 0
458 0 0 0 0 0 1 0 1 0 0
459 1 0 0 0 0 0 0 0 1 0
460 0 1 0 0 0 0 0 1 0 0
461 0 0 0 0 0 1 0 0 0 1
462 0 0 0 1 0 0 0 1 0 0
463 0 0 0 0 0 0 1 1 0 0
464 0 0 0 0 0 0 1 1 0 0
465 0 0 0 1 0 0 0 0 1 0
466 0 0 0 1 0 0 0 0 0 1
467 0 0 0 1 0 0 0 1 0 0
468 1 0 0 0 0 0 0 1 0 0
469 1 0 0 0 0 0 0 1 0 0
470 0 0 0 0 0 0 1 1 0 0
471 0 0 0 0 0 0 0 1 0 0
472 0 1 0 0 0 0 0 1 0 0
473 0 1 0 0 0 0 0 1 0 0
474 0 0 0 0 1 0 0 1 0 0
475 0 1 0 0 0 0 0 1 0 0
476 0 1 0 0 0 0 0 1 0 0
477 0 0 0 0 0 0 1 1 0 0
478 0 0 0 1 0 0 0 1 0 0
479 0 1 0 0 0 0 0 1 0 0
480 0 1 0 0 0 0 0 1 0 0
481 0 0 0 0 0 1 0 0 0 1
482 0 0 0 0 0 0 1 1 0 0
483 0 0 0 0 0 0 0 1 0 0
484 0 1 0 0 0 0 0 1 0 0
485 0 0 0 1 0 0 0 0 1 0
486 0 0 0 0 0 0 1 1 0 0
487 0 0 0 0 0 0 1 1 0 0
488 0 1 0 0 0 0 0 1 0 0
489 0 1 0 0 0 0 0 1 0 0
490 0 0 0 0 0 0 1 1 0 0
491 1 0 0 0 0 0 0 1 0 0
492 0 1 0 0 0 0 0 1 0 0
493 0 1 0 0 0 0 0 1 0 0
494 0 1 0 0 0 0 0 1 0 0
495 0 0 0 1 0 0 0 1 0 0
496 0 0 0 1 0 0 0 0 0 1
497 0 0 0 1 0 0 0 0 1 0
498 0 0 0 0 0 0 1 1 0 0
499 0 0 0 0 0 0 1 1 0 0
500 0 1 0 0 0 0 0 0 1 0
501 0 1 0 0 0 0 0 1 0 0
502 0 1 0 0 0 0 0 1 0 0
503 0 1 0 0 0 0 0 1 0 0
504 0 0 0 1 0 0 0 1 0 0
505 0 1 0 0 0 0 0 1 0 0
506 0 0 0 0 0 1 0 0 0 1
507 0 1 0 0 0 0 0 1 0 0
508 0 1 0 0 0 0 0 1 0 0
509 0 0 0 0 0 0 1 1 0 0
510 0 1 0 0 0 0 0 1 0 0
511 0 1 0 0 0 0 0 1 0 0
512 0 0 0 0 0 0 1 1 0 0
513 0 0 0 0 0 0 0 1 0 0
514 0 0 0 0 0 0 0 1 0 0
515 0 0 0 0 0 0 0 1 0 0
516 0 0 0 0 0 0 0 1 0 0
517 0 0 0 0 1 0 0 0 0 1
518 0 0 0 0 1 0 0 0 0 1
519 0 0 0 0 1 0 0 0 0 1
520 0 0 0 0 1 0 0 0 0 1
521 0 0 0 0 0 0 0 1 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
16.30861 1.35805 -1.40227 0.38365 1.35454 3.21474
sch53 sch16 sch41 sch17 sch40 sch10
0.86151 -1.30791 -0.08346 0.49249 3.43057 -1.79357
sch01 hak3 hak5 hak0 hak6 hak8
-1.01436 2.01008 0.71353 -0.54748 0.76131 -2.00790
hak7 hak4 type0 type1 type3
-0.41459 0.27616 -11.49264 -12.90756 -12.46843
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-9.1023 -3.3085 -0.6667 2.6579 24.6012
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 16.30861 1.50469 10.839 < 2e-16 ***
c2 1.35805 0.69365 1.958 0.05081 .
scha05 -1.40227 1.24348 -1.128 0.25999
sch06 0.38365 1.01276 0.379 0.70499
sch31 1.35454 1.18499 1.143 0.25355
sch00 3.21474 0.97871 3.285 0.00109 **
sch53 0.86151 1.16036 0.742 0.45816
sch16 -1.30791 1.92429 -0.680 0.49702
sch41 -0.08346 0.75354 -0.111 0.91186
sch17 0.49249 1.45444 0.339 0.73505
sch40 3.43057 0.75197 4.562 6.38e-06 ***
sch10 -1.79357 1.06290 -1.687 0.09215 .
sch01 -1.01436 0.91095 -1.114 0.26602
hak3 2.01008 0.94009 2.138 0.03299 *
hak5 0.71353 0.70287 1.015 0.31052
hak0 -0.54748 1.26644 -0.432 0.66571
hak6 0.76131 0.79154 0.962 0.33661
hak8 -2.00790 1.04253 -1.926 0.05467 .
hak7 -0.41459 0.73717 -0.562 0.57409
hak4 0.27616 0.89024 0.310 0.75653
type0 -11.49264 1.62376 -7.078 5.00e-12 ***
type1 -12.90756 1.59871 -8.074 5.16e-15 ***
type3 -12.46843 1.78664 -6.979 9.55e-12 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 4.626 on 498 degrees of freedom
Multiple R-squared: 0.2729, Adjusted R-squared: 0.2408
F-statistic: 8.498 on 22 and 498 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,] 2.855704e-01 5.711408e-01 0.714429590
[2,] 1.508870e-01 3.017741e-01 0.849112972
[3,] 7.273369e-02 1.454674e-01 0.927266308
[4,] 3.333758e-02 6.667516e-02 0.966662422
[5,] 1.400562e-02 2.801125e-02 0.985994375
[6,] 5.702719e-03 1.140544e-02 0.994297281
[7,] 2.243749e-03 4.487499e-03 0.997756251
[8,] 8.087672e-04 1.617534e-03 0.999191233
[9,] 1.931847e-03 3.863695e-03 0.998068153
[10,] 8.417721e-04 1.683544e-03 0.999158228
[11,] 3.352194e-04 6.704387e-04 0.999664781
[12,] 1.315709e-04 2.631418e-04 0.999868429
[13,] 6.297253e-05 1.259451e-04 0.999937027
[14,] 3.474310e-05 6.948620e-05 0.999965257
[15,] 2.275277e-05 4.550553e-05 0.999977247
[16,] 9.025683e-06 1.805137e-05 0.999990974
[17,] 3.767738e-06 7.535477e-06 0.999996232
[18,] 1.333683e-06 2.667365e-06 0.999998666
[19,] 4.612259e-07 9.224518e-07 0.999999539
[20,] 1.558681e-07 3.117362e-07 0.999999844
[21,] 1.469032e-05 2.938064e-05 0.999985310
[22,] 6.568107e-06 1.313621e-05 0.999993432
[23,] 2.971094e-06 5.942188e-06 0.999997029
[24,] 1.266748e-06 2.533496e-06 0.999998733
[25,] 5.281441e-07 1.056288e-06 0.999999472
[26,] 3.432650e-07 6.865300e-07 0.999999657
[27,] 6.362815e-06 1.272563e-05 0.999993637
[28,] 5.117542e-06 1.023508e-05 0.999994882
[29,] 2.414443e-06 4.828886e-06 0.999997586
[30,] 9.127693e-06 1.825539e-05 0.999990872
[31,] 8.695772e-05 1.739154e-04 0.999913042
[32,] 1.760883e-04 3.521766e-04 0.999823912
[33,] 1.050564e-04 2.101128e-04 0.999894944
[34,] 6.377706e-05 1.275541e-04 0.999936223
[35,] 3.557566e-05 7.115132e-05 0.999964424
[36,] 2.069559e-05 4.139119e-05 0.999979304
[37,] 1.345767e-05 2.691534e-05 0.999986542
[38,] 7.821830e-06 1.564366e-05 0.999992178
[39,] 4.353275e-06 8.706550e-06 0.999995647
[40,] 3.164468e-06 6.328935e-06 0.999996836
[41,] 7.130949e-06 1.426190e-05 0.999992869
[42,] 3.999568e-06 7.999136e-06 0.999996000
[43,] 2.605417e-06 5.210834e-06 0.999997395
[44,] 1.408843e-06 2.817687e-06 0.999998591
[45,] 9.391059e-07 1.878212e-06 0.999999061
[46,] 8.979393e-07 1.795879e-06 0.999999102
[47,] 4.946524e-07 9.893047e-07 0.999999505
[48,] 2.834677e-07 5.669354e-07 0.999999717
[49,] 1.638076e-07 3.276153e-07 0.999999836
[50,] 1.285803e-07 2.571607e-07 0.999999871
[51,] 2.067476e-07 4.134951e-07 0.999999793
[52,] 1.192941e-07 2.385882e-07 0.999999881
[53,] 7.023751e-08 1.404750e-07 0.999999930
[54,] 4.193118e-08 8.386236e-08 0.999999958
[55,] 2.171767e-07 4.343534e-07 0.999999783
[56,] 1.935499e-06 3.870998e-06 0.999998065
[57,] 9.500578e-02 1.900116e-01 0.904994222
[58,] 1.384411e-01 2.768821e-01 0.861558931
[59,] 1.210403e-01 2.420805e-01 0.878959746
[60,] 1.422162e-01 2.844323e-01 0.857783830
[61,] 1.247826e-01 2.495652e-01 0.875217381
[62,] 1.519315e-01 3.038630e-01 0.848068475
[63,] 1.329890e-01 2.659780e-01 0.867011013
[64,] 1.626890e-01 3.253781e-01 0.837310973
[65,] 1.438314e-01 2.876628e-01 0.856168582
[66,] 1.240435e-01 2.480871e-01 0.875956468
[67,] 1.886264e-01 3.772529e-01 0.811373568
[68,] 1.660061e-01 3.320122e-01 0.833993876
[69,] 1.503328e-01 3.006657e-01 0.849667174
[70,] 1.469846e-01 2.939692e-01 0.853015386
[71,] 1.317206e-01 2.634412e-01 0.868279415
[72,] 1.186857e-01 2.373713e-01 0.881314326
[73,] 1.098341e-01 2.196681e-01 0.890165935
[74,] 9.623919e-02 1.924784e-01 0.903760812
[75,] 9.341653e-02 1.868331e-01 0.906583466
[76,] 8.039679e-02 1.607936e-01 0.919603212
[77,] 1.285756e-01 2.571511e-01 0.871424441
[78,] 1.587939e-01 3.175877e-01 0.841206149
[79,] 1.387427e-01 2.774855e-01 0.861257257
[80,] 1.259012e-01 2.518025e-01 0.874098752
[81,] 1.250433e-01 2.500867e-01 0.874956671
[82,] 1.171313e-01 2.342626e-01 0.882868716
[83,] 1.298087e-01 2.596175e-01 0.870191255
[84,] 1.198714e-01 2.397428e-01 0.880128597
[85,] 1.216816e-01 2.433631e-01 0.878318432
[86,] 1.103426e-01 2.206852e-01 0.889657413
[87,] 9.780768e-02 1.956154e-01 0.902192319
[88,] 8.866216e-02 1.773243e-01 0.911337836
[89,] 7.834547e-02 1.566909e-01 0.921654531
[90,] 7.259545e-02 1.451909e-01 0.927404550
[91,] 6.959508e-02 1.391902e-01 0.930404918
[92,] 6.627859e-02 1.325572e-01 0.933721408
[93,] 5.642533e-02 1.128507e-01 0.943574670
[94,] 4.773310e-02 9.546621e-02 0.952266897
[95,] 4.016503e-02 8.033007e-02 0.959834965
[96,] 3.422031e-02 6.844062e-02 0.965779690
[97,] 2.977716e-02 5.955433e-02 0.970222837
[98,] 2.492287e-02 4.984574e-02 0.975077132
[99,] 2.070907e-02 4.141813e-02 0.979290934
[100,] 1.721775e-02 3.443551e-02 0.982782247
[101,] 1.402972e-02 2.805944e-02 0.985970280
[102,] 1.159731e-02 2.319462e-02 0.988402692
[103,] 9.405157e-03 1.881031e-02 0.990594843
[104,] 7.586977e-03 1.517395e-02 0.992413023
[105,] 6.195602e-03 1.239120e-02 0.993804398
[106,] 4.935411e-03 9.870822e-03 0.995064589
[107,] 3.945625e-03 7.891250e-03 0.996054375
[108,] 4.590961e-03 9.181922e-03 0.995409039
[109,] 4.607037e-03 9.214075e-03 0.995392963
[110,] 4.956181e-03 9.912362e-03 0.995043819
[111,] 4.708432e-03 9.416864e-03 0.995291568
[112,] 5.091089e-03 1.018218e-02 0.994908911
[113,] 4.388753e-03 8.777505e-03 0.995611247
[114,] 4.033719e-03 8.067437e-03 0.995966281
[115,] 3.624634e-03 7.249267e-03 0.996375366
[116,] 3.048139e-03 6.096279e-03 0.996951861
[117,] 2.446661e-03 4.893323e-03 0.997553339
[118,] 2.047252e-03 4.094504e-03 0.997952748
[119,] 3.611027e-03 7.222054e-03 0.996388973
[120,] 4.023721e-03 8.047442e-03 0.995976279
[121,] 3.983216e-03 7.966431e-03 0.996016784
[122,] 4.605405e-03 9.210810e-03 0.995394595
[123,] 3.763638e-03 7.527276e-03 0.996236362
[124,] 3.249920e-03 6.499840e-03 0.996750080
[125,] 2.611310e-03 5.222619e-03 0.997388690
[126,] 2.403417e-03 4.806833e-03 0.997596583
[127,] 1.988042e-03 3.976083e-03 0.998011958
[128,] 2.027847e-03 4.055694e-03 0.997972153
[129,] 1.368170e-02 2.736339e-02 0.986318304
[130,] 1.334357e-02 2.668715e-02 0.986656426
[131,] 1.237241e-02 2.474483e-02 0.987627586
[132,] 1.064440e-02 2.128880e-02 0.989355600
[133,] 1.147558e-02 2.295116e-02 0.988524422
[134,] 1.044469e-02 2.088939e-02 0.989555305
[135,] 1.115144e-02 2.230288e-02 0.988848561
[136,] 2.934637e-02 5.869273e-02 0.970653633
[137,] 2.565060e-02 5.130120e-02 0.974349402
[138,] 2.193667e-02 4.387333e-02 0.978063333
[139,] 2.143038e-02 4.286077e-02 0.978569615
[140,] 2.119815e-02 4.239629e-02 0.978801855
[141,] 1.922984e-02 3.845967e-02 0.980770163
[142,] 2.167554e-02 4.335108e-02 0.978324462
[143,] 1.984607e-02 3.969213e-02 0.980153933
[144,] 2.388099e-02 4.776197e-02 0.976119015
[145,] 1.766749e-01 3.533499e-01 0.823325068
[146,] 1.920486e-01 3.840973e-01 0.807951374
[147,] 1.792507e-01 3.585014e-01 0.820749300
[148,] 1.658831e-01 3.317663e-01 0.834116857
[149,] 2.270857e-01 4.541713e-01 0.772914349
[150,] 3.553732e-01 7.107464e-01 0.644626803
[151,] 3.829674e-01 7.659347e-01 0.617032629
[152,] 4.178996e-01 8.357991e-01 0.582100435
[153,] 3.939515e-01 7.879030e-01 0.606048514
[154,] 3.692763e-01 7.385525e-01 0.630723749
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[453,] 7.522360e-01 4.955279e-01 0.247763975
[454,] 6.966223e-01 6.067554e-01 0.303377705
[455,] 6.670309e-01 6.659382e-01 0.332969124
[456,] 6.609008e-01 6.781984e-01 0.339099224
[457,] 5.963822e-01 8.072356e-01 0.403617775
[458,] 5.228669e-01 9.542663e-01 0.477133134
[459,] 4.994210e-01 9.988420e-01 0.500578977
[460,] 4.411713e-01 8.823426e-01 0.558828706
[461,] 3.761309e-01 7.522618e-01 0.623869112
[462,] 3.093544e-01 6.187087e-01 0.690645645
[463,] 2.853860e-01 5.707720e-01 0.714613983
[464,] 2.762149e-01 5.524298e-01 0.723785088
[465,] 2.192877e-01 4.385754e-01 0.780712289
[466,] 1.517515e-01 3.035030e-01 0.848248492
[467,] 1.021325e-01 2.042650e-01 0.897867497
[468,] 8.834444e-02 1.766889e-01 0.911655563
[469,] 4.951669e-02 9.903339e-02 0.950483307
[470,] 2.349114e-02 4.698228e-02 0.976508862
> postscript(file="/var/fisher/rcomp/tmp/15ykm1356108802.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/fisher/rcomp/tmp/2cx8r1356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/3yp761356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/423j51356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/5tgj71356108802.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> qqnorm(mysum$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
1.21816289 2.21816289 -0.56774887 -3.12372116 -7.10229544 -1.13000338
7 8 9 10 11 12
-3.13000338 -1.96058245 0.03941755 3.03941755 -1.96058245 -0.13000338
13 14 15 16 17 18
-5.49382596 -0.74882246 4.56998769 -4.06976845 1.65786652 -3.26285127
19 20 21 22 23 24
-4.85616230 -0.03871386 -0.34213348 -7.00785477 -4.06976845 -3.49382596
25 26 27 28 29 30
-3.57728251 -3.85616230 -3.26285127 -4.31792488 -0.74882246 1.95207950
31 32 33 34 35 36
-1.65662206 -2.65662206 -0.77175849 -3.04792050 -1.04792050 -5.43582981
37 38 39 40 41 42
-5.15966779 -3.43582981 -2.43582981 -2.15966779 9.73744192 8.73744192
43 44 45 46 47 48
-1.71508260 1.21530386 -1.71508260 1.76277934 -1.23722066 -0.71508260
49 50 51 52 53 54
-3.26285127 -3.26285127 -1.26285127 7.25117754 -4.83195370 -2.26285127
55 56 57 58 59 60
0.16804630 0.99214523 3.50617404 1.26748470 -0.74882246 -2.44604485
61 62 63 64 65 66
-3.26285127 -2.72461386 -5.96007366 -4.23864267 -4.31792488 3.55395515
67 68 69 70 71 72
0.65786652 1.55395515 -1.72461386 -6.23864267 -2.73251530 1.25117754
73 74 75 76 77 78
-3.31792488 -2.97384512 -4.48528803 5.03446074 -5.53864194 -4.12372116
79 80 81 82 83 84
2.63308367 0.75790713 4.56417019 24.60115549 2.61995933 -0.45018720
85 86 87 88 89 90
-5.76918302 -3.43582981 -3.66492791 1.23081698 2.88635746 3.63308367
91 92 93 94 95 96
-2.75910441 -9.10229544 3.02438212 -4.10229544 3.25525299 -4.10229544
97 98 99 100 101 102
-1.45018720 -7.28987398 -4.27119980 5.03446074 -2.43582981 -7.39884451
103 104 105 106 107 108
1.71012602 0.16616773 0.02438212 -3.97384512 -1.36691633 -6.39884451
109 110 111 112 113 114
2.24089559 -4.39053866 2.23081698 -3.27119980 2.88635746 1.10259406
115 116 117 118 119 120
2.55395515 -2.73251530 -4.44604485 -0.02240671 0.97759329 -0.02240671
121 122 123 124 125 126
-2.44604485 -1.41370516 -1.02240671 0.97759329 -2.31792488 -0.02240671
127 128 129 130 131 132
-1.31792488 -1.81597185 -1.81597185 0.95207950 1.58108851 0.58108851
133 134 135 136 137 138
3.12680266 -6.88755473 -6.80472534 2.12680266 2.11244527 -4.10229544
139 140 141 142 143 144
2.74999287 -3.83383227 -1.80472534 -0.89195379 1.16616773 6.47049860
145 146 147 148 149 150
-7.96007366 3.55395515 4.95207950 0.34337794 -3.88755473 -1.06976845
151 152 153 154 155 156
0.89770456 1.55395515 3.50617404 14.25740608 5.25740608 -0.75672390
157 158 159 160 161 162
1.15203234 7.15203234 0.15203234 2.75345588 9.75345588 -2.96007366
163 164 165 166 167 168
-0.96007366 0.16804630 3.03992634 -3.24654412 -6.24654412 -4.83195370
169 170 171 172 173 174
3.16804630 17.03992634 -6.24654412 -3.57728251 2.69154221 7.16804630
175 176 177 178 179 180
10.16804630 5.59861857 -6.96007366 -1.83195370 -1.24654412 7.75345588
181 182 183 184 185 186
14.75345588 -2.40138143 -7.24654412 -0.83195370 1.75345588 4.75345588
187 188 189 190 191 192
2.03992634 0.25740608 11.16804630 -0.40138143 -3.24654412 15.03992634
193 194 195 196 197 198
4.55395515 4.75345588 2.16804630 2.03992634 9.59861857 -0.83195370
199 200 201 202 203 204
3.75345588 1.25740608 0.55395515 -7.24654412 -2.24654412 -0.96007366
205 206 207 208 209 210
-2.24654412 -2.40138143 11.03992634 4.75345588 9.75345588 -5.24654412
211 212 213 214 215 216
6.75345588 -1.57728251 -2.96007366 3.16804630 -1.57728251 15.75345588
217 218 219 220 221 222
-1.96007366 5.75345588 7.75345588 0.75345588 -4.30845779 -3.30845779
223 224 225 226 227 228
-3.40105107 -3.40105107 -3.41370516 -6.74259392 -2.41370516 0.88541938
229 230 231 232 233 234
-3.40105107 -4.74259392 -2.30845779 -0.11458062 -2.40105107 5.88541938
235 236 237 238 239 240
-2.40105107 -3.40105107 -6.74259392 -3.68986717 -2.53226653 -2.09213387
241 242 243 244 245 246
-4.47577893 3.25117754 -4.47577893 -1.04701972 -1.53226653 -1.04701972
247 248 249 250 251 252
-0.40105107 7.33333333 -7.66666667 1.33333333 -1.66666667 -3.66666667
253 254 255 256 257 258
-7.66666667 -5.66666667 2.33333333 4.33333333 -4.66666667 -0.66666667
259 260 261 262 263 264
16.33333333 8.73150363 0.73150363 1.73150363 -3.26849637 0.16804630
265 266 267 268 269 270
-1.09213387 0.48485600 3.68207512 1.48485600 -0.24654412 -4.85616230
271 272 273 274 275 276
-6.85616230 -2.42559003 4.03907243 -5.96092757 -3.31792488 4.61297596
277 278 279 280 281 282
1.03907243 2.99132268 -0.51803456 -2.73593625 1.18376818 3.48485600
283 284 285 286 287 288
-5.96007366 -3.96007366 -7.83195370 -2.75672390 -6.83195370 0.39218371
289 290 291 292 293 294
-2.83195370 -0.83195370 -6.83195370 -5.83195370 4.03992634 -4.96007366
295 296 297 298 299 300
-3.38702404 0.61297596 -2.38702404 -1.81169307 -3.38702404 -5.81169307
301 302 303 304 305 306
-2.38702404 -1.38702404 -3.38702404 -1.38702404 -1.74882246 2.65786652
307 308 309 310 311 312
-1.04701972 3.19076490 0.95298028 -0.74882246 -3.34213348 3.67523506
313 314 315 316 317 318
-2.04701972 -3.04701972 -3.04701972 -0.32476494 -3.80923510 -3.40105107
319 320 321 322 323 324
0.59894893 -4.40138143 -0.40105107 -4.81597185 -3.73251530 -2.40105107
325 326 327 328 329 330
-1.40105107 3.59894893 -0.40105107 -3.40105107 -1.34213348 -0.74882246
331 332 333 334 335 336
0.25117754 1.57440997 -2.03206337 -0.51803456 -2.34213348 -1.51803456
337 338 339 340 341 342
-3.40105107 -3.49382596 -1.41112969 -5.83195370 -6.24654412 -0.11458062
343 344 345 346 347 348
-0.74882246 0.96128614 -0.40105107 8.59894893 -2.40105107 2.73744192
349 350 351 352 353 354
-2.53872009 -3.40105107 -4.97608762 3.56998769 1.01353935 1.25117754
355 356 357 358 359 360
2.59894893 -1.74882246 0.46127991 -3.40105107 0.01353935 4.90686285
361 362 363 364 365 366
7.09699590 3.09699590 2.97759329 -2.02240671 -2.26849637 4.73150363
367 368 369 370 371 372
-3.02240671 0.73150363 -2.02240671 -1.84796766 -3.53872009 -1.84796766
373 374 375 376 377 378
0.15203234 -1.84796766 3.46127991 -0.53872009 4.11244527 2.99214523
379 380 381 382 383 384
4.42271749 5.42271749 -0.57728251 0.47143668 0.47143668 3.82597481
385 386 387 388 389 390
-2.17402519 -2.49382596 1.75790713 2.11244527 5.42271749 3.42271749
391 392 393 394 395 396
-0.57728251 2.50617404 4.42271749 -2.27119980 0.72880020 1.75790713
397 398 399 400 401 402
1.50617404 -2.73251530 2.26748470 -3.44604485 0.26748470 0.26748470
403 404 405 406 407 408
-0.60149111 -3.52950140 -4.52950140 -1.60149111 -3.03206337 -6.03206337
409 410 411 412 413 414
0.96793663 -2.26849637 -4.22382552 -2.82582306 -2.51514400 -4.51514400
415 416 417 418 419 420
-4.22382552 -4.22382552 -5.44604485 -5.44604485 -5.44604485 -3.52950140
421 422 423 424 425 426
-4.52950140 -4.44604485 -5.43582981 -3.76918302 -3.87319734 -1.43582981
427 428 429 430 431 432
-7.10229544 -4.04792050 7.47729387 -0.64033074 3.56417019 2.11244527
433 434 435 436 437 438
-5.02386873 3.12680266 2.18830693 -5.44604485 -5.82605047 2.46135806
439 440 441 442 443 444
3.06466415 1.97613127 6.35966926 9.35966926 4.20628699 2.26748470
445 446 447 448 449 450
0.92109482 0.96793663 2.03992634 2.75790713 7.18830693 5.72880020
451 452 453 454 455 456
-5.02386873 5.35966926 6.50617404 -3.44604485 -4.93533585 5.16616773
457 458 459 460 461 462
1.42271749 -3.31792488 -5.75482563 0.55395515 7.35966926 3.06466415
463 464 465 466 467 468
4.05732686 -0.07777647 3.92109482 7.48196544 -9.00785477 4.18830693
469 470 471 472 473 474
4.46135806 5.16616773 -3.81597185 -8.74424211 3.47049860 10.20628699
475 476 477 478 479 480
0.75790713 -2.96007366 5.16616773 10.06466415 2.72880020 3.75790713
481 482 483 484 485 486
12.35966926 6.41538020 2.75345588 0.25575789 0.83763827 5.54981280
487 488 489 490 491 492
-1.83383227 -3.24209287 1.25575789 3.56417019 -1.04079118 9.48485600
493 494 495 496 497 498
13.03992634 8.25575789 6.06466415 3.48196544 -4.07890518 6.99132268
499 500 501 502 503 504
-5.43582981 -5.68737466 -4.24209287 1.75790713 1.75790713 2.99214523
505 506 507 508 509 510
5.75790713 7.35966926 -0.44604485 9.08685354 0.16616773 9.12680266
511 512 513 514 515 516
8.11244527 5.99132268 -1.02240671 -2.02240671 1.97759329 1.97759329
517 518 519 520 521
2.25117754 5.25117754 3.25117754 2.25117754 -1.02240671
> postscript(file="/var/fisher/rcomp/tmp/6ek7i1356108802.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 1.21816289 NA
1 2.21816289 1.21816289
2 -0.56774887 2.21816289
3 -3.12372116 -0.56774887
4 -7.10229544 -3.12372116
5 -1.13000338 -7.10229544
6 -3.13000338 -1.13000338
7 -1.96058245 -3.13000338
8 0.03941755 -1.96058245
9 3.03941755 0.03941755
10 -1.96058245 3.03941755
11 -0.13000338 -1.96058245
12 -5.49382596 -0.13000338
13 -0.74882246 -5.49382596
14 4.56998769 -0.74882246
15 -4.06976845 4.56998769
16 1.65786652 -4.06976845
17 -3.26285127 1.65786652
18 -4.85616230 -3.26285127
19 -0.03871386 -4.85616230
20 -0.34213348 -0.03871386
21 -7.00785477 -0.34213348
22 -4.06976845 -7.00785477
23 -3.49382596 -4.06976845
24 -3.57728251 -3.49382596
25 -3.85616230 -3.57728251
26 -3.26285127 -3.85616230
27 -4.31792488 -3.26285127
28 -0.74882246 -4.31792488
29 1.95207950 -0.74882246
30 -1.65662206 1.95207950
31 -2.65662206 -1.65662206
32 -0.77175849 -2.65662206
33 -3.04792050 -0.77175849
34 -1.04792050 -3.04792050
35 -5.43582981 -1.04792050
36 -5.15966779 -5.43582981
37 -3.43582981 -5.15966779
38 -2.43582981 -3.43582981
39 -2.15966779 -2.43582981
40 9.73744192 -2.15966779
41 8.73744192 9.73744192
42 -1.71508260 8.73744192
43 1.21530386 -1.71508260
44 -1.71508260 1.21530386
45 1.76277934 -1.71508260
46 -1.23722066 1.76277934
47 -0.71508260 -1.23722066
48 -3.26285127 -0.71508260
49 -3.26285127 -3.26285127
50 -1.26285127 -3.26285127
51 7.25117754 -1.26285127
52 -4.83195370 7.25117754
53 -2.26285127 -4.83195370
54 0.16804630 -2.26285127
55 0.99214523 0.16804630
56 3.50617404 0.99214523
57 1.26748470 3.50617404
58 -0.74882246 1.26748470
59 -2.44604485 -0.74882246
60 -3.26285127 -2.44604485
61 -2.72461386 -3.26285127
62 -5.96007366 -2.72461386
63 -4.23864267 -5.96007366
64 -4.31792488 -4.23864267
65 3.55395515 -4.31792488
66 0.65786652 3.55395515
67 1.55395515 0.65786652
68 -1.72461386 1.55395515
69 -6.23864267 -1.72461386
70 -2.73251530 -6.23864267
71 1.25117754 -2.73251530
72 -3.31792488 1.25117754
73 -2.97384512 -3.31792488
74 -4.48528803 -2.97384512
75 5.03446074 -4.48528803
76 -5.53864194 5.03446074
77 -4.12372116 -5.53864194
78 2.63308367 -4.12372116
79 0.75790713 2.63308367
80 4.56417019 0.75790713
81 24.60115549 4.56417019
82 2.61995933 24.60115549
83 -0.45018720 2.61995933
84 -5.76918302 -0.45018720
85 -3.43582981 -5.76918302
86 -3.66492791 -3.43582981
87 1.23081698 -3.66492791
88 2.88635746 1.23081698
89 3.63308367 2.88635746
90 -2.75910441 3.63308367
91 -9.10229544 -2.75910441
92 3.02438212 -9.10229544
93 -4.10229544 3.02438212
94 3.25525299 -4.10229544
95 -4.10229544 3.25525299
96 -1.45018720 -4.10229544
97 -7.28987398 -1.45018720
98 -4.27119980 -7.28987398
99 5.03446074 -4.27119980
100 -2.43582981 5.03446074
101 -7.39884451 -2.43582981
102 1.71012602 -7.39884451
103 0.16616773 1.71012602
104 0.02438212 0.16616773
105 -3.97384512 0.02438212
106 -1.36691633 -3.97384512
107 -6.39884451 -1.36691633
108 2.24089559 -6.39884451
109 -4.39053866 2.24089559
110 2.23081698 -4.39053866
111 -3.27119980 2.23081698
112 2.88635746 -3.27119980
113 1.10259406 2.88635746
114 2.55395515 1.10259406
115 -2.73251530 2.55395515
116 -4.44604485 -2.73251530
117 -0.02240671 -4.44604485
118 0.97759329 -0.02240671
119 -0.02240671 0.97759329
120 -2.44604485 -0.02240671
121 -1.41370516 -2.44604485
122 -1.02240671 -1.41370516
123 0.97759329 -1.02240671
124 -2.31792488 0.97759329
125 -0.02240671 -2.31792488
126 -1.31792488 -0.02240671
127 -1.81597185 -1.31792488
128 -1.81597185 -1.81597185
129 0.95207950 -1.81597185
130 1.58108851 0.95207950
131 0.58108851 1.58108851
132 3.12680266 0.58108851
133 -6.88755473 3.12680266
134 -6.80472534 -6.88755473
135 2.12680266 -6.80472534
136 2.11244527 2.12680266
137 -4.10229544 2.11244527
138 2.74999287 -4.10229544
139 -3.83383227 2.74999287
140 -1.80472534 -3.83383227
141 -0.89195379 -1.80472534
142 1.16616773 -0.89195379
143 6.47049860 1.16616773
144 -7.96007366 6.47049860
145 3.55395515 -7.96007366
146 4.95207950 3.55395515
147 0.34337794 4.95207950
148 -3.88755473 0.34337794
149 -1.06976845 -3.88755473
150 0.89770456 -1.06976845
151 1.55395515 0.89770456
152 3.50617404 1.55395515
153 14.25740608 3.50617404
154 5.25740608 14.25740608
155 -0.75672390 5.25740608
156 1.15203234 -0.75672390
157 7.15203234 1.15203234
158 0.15203234 7.15203234
159 2.75345588 0.15203234
160 9.75345588 2.75345588
161 -2.96007366 9.75345588
162 -0.96007366 -2.96007366
163 0.16804630 -0.96007366
164 3.03992634 0.16804630
165 -3.24654412 3.03992634
166 -6.24654412 -3.24654412
167 -4.83195370 -6.24654412
168 3.16804630 -4.83195370
169 17.03992634 3.16804630
170 -6.24654412 17.03992634
171 -3.57728251 -6.24654412
172 2.69154221 -3.57728251
173 7.16804630 2.69154221
174 10.16804630 7.16804630
175 5.59861857 10.16804630
176 -6.96007366 5.59861857
177 -1.83195370 -6.96007366
178 -1.24654412 -1.83195370
179 7.75345588 -1.24654412
180 14.75345588 7.75345588
181 -2.40138143 14.75345588
182 -7.24654412 -2.40138143
183 -0.83195370 -7.24654412
184 1.75345588 -0.83195370
185 4.75345588 1.75345588
186 2.03992634 4.75345588
187 0.25740608 2.03992634
188 11.16804630 0.25740608
189 -0.40138143 11.16804630
190 -3.24654412 -0.40138143
191 15.03992634 -3.24654412
192 4.55395515 15.03992634
193 4.75345588 4.55395515
194 2.16804630 4.75345588
195 2.03992634 2.16804630
196 9.59861857 2.03992634
197 -0.83195370 9.59861857
198 3.75345588 -0.83195370
199 1.25740608 3.75345588
200 0.55395515 1.25740608
201 -7.24654412 0.55395515
202 -2.24654412 -7.24654412
203 -0.96007366 -2.24654412
204 -2.24654412 -0.96007366
205 -2.40138143 -2.24654412
206 11.03992634 -2.40138143
207 4.75345588 11.03992634
208 9.75345588 4.75345588
209 -5.24654412 9.75345588
210 6.75345588 -5.24654412
211 -1.57728251 6.75345588
212 -2.96007366 -1.57728251
213 3.16804630 -2.96007366
214 -1.57728251 3.16804630
215 15.75345588 -1.57728251
216 -1.96007366 15.75345588
217 5.75345588 -1.96007366
218 7.75345588 5.75345588
219 0.75345588 7.75345588
220 -4.30845779 0.75345588
221 -3.30845779 -4.30845779
222 -3.40105107 -3.30845779
223 -3.40105107 -3.40105107
224 -3.41370516 -3.40105107
225 -6.74259392 -3.41370516
226 -2.41370516 -6.74259392
227 0.88541938 -2.41370516
228 -3.40105107 0.88541938
229 -4.74259392 -3.40105107
230 -2.30845779 -4.74259392
231 -0.11458062 -2.30845779
232 -2.40105107 -0.11458062
233 5.88541938 -2.40105107
234 -2.40105107 5.88541938
235 -3.40105107 -2.40105107
236 -6.74259392 -3.40105107
237 -3.68986717 -6.74259392
238 -2.53226653 -3.68986717
239 -2.09213387 -2.53226653
240 -4.47577893 -2.09213387
241 3.25117754 -4.47577893
242 -4.47577893 3.25117754
243 -1.04701972 -4.47577893
244 -1.53226653 -1.04701972
245 -1.04701972 -1.53226653
246 -0.40105107 -1.04701972
247 7.33333333 -0.40105107
248 -7.66666667 7.33333333
249 1.33333333 -7.66666667
250 -1.66666667 1.33333333
251 -3.66666667 -1.66666667
252 -7.66666667 -3.66666667
253 -5.66666667 -7.66666667
254 2.33333333 -5.66666667
255 4.33333333 2.33333333
256 -4.66666667 4.33333333
257 -0.66666667 -4.66666667
258 16.33333333 -0.66666667
259 8.73150363 16.33333333
260 0.73150363 8.73150363
261 1.73150363 0.73150363
262 -3.26849637 1.73150363
263 0.16804630 -3.26849637
264 -1.09213387 0.16804630
265 0.48485600 -1.09213387
266 3.68207512 0.48485600
267 1.48485600 3.68207512
268 -0.24654412 1.48485600
269 -4.85616230 -0.24654412
270 -6.85616230 -4.85616230
271 -2.42559003 -6.85616230
272 4.03907243 -2.42559003
273 -5.96092757 4.03907243
274 -3.31792488 -5.96092757
275 4.61297596 -3.31792488
276 1.03907243 4.61297596
277 2.99132268 1.03907243
278 -0.51803456 2.99132268
279 -2.73593625 -0.51803456
280 1.18376818 -2.73593625
281 3.48485600 1.18376818
282 -5.96007366 3.48485600
283 -3.96007366 -5.96007366
284 -7.83195370 -3.96007366
285 -2.75672390 -7.83195370
286 -6.83195370 -2.75672390
287 0.39218371 -6.83195370
288 -2.83195370 0.39218371
289 -0.83195370 -2.83195370
290 -6.83195370 -0.83195370
291 -5.83195370 -6.83195370
292 4.03992634 -5.83195370
293 -4.96007366 4.03992634
294 -3.38702404 -4.96007366
295 0.61297596 -3.38702404
296 -2.38702404 0.61297596
297 -1.81169307 -2.38702404
298 -3.38702404 -1.81169307
299 -5.81169307 -3.38702404
300 -2.38702404 -5.81169307
301 -1.38702404 -2.38702404
302 -3.38702404 -1.38702404
303 -1.38702404 -3.38702404
304 -1.74882246 -1.38702404
305 2.65786652 -1.74882246
306 -1.04701972 2.65786652
307 3.19076490 -1.04701972
308 0.95298028 3.19076490
309 -0.74882246 0.95298028
310 -3.34213348 -0.74882246
311 3.67523506 -3.34213348
312 -2.04701972 3.67523506
313 -3.04701972 -2.04701972
314 -3.04701972 -3.04701972
315 -0.32476494 -3.04701972
316 -3.80923510 -0.32476494
317 -3.40105107 -3.80923510
318 0.59894893 -3.40105107
319 -4.40138143 0.59894893
320 -0.40105107 -4.40138143
321 -4.81597185 -0.40105107
322 -3.73251530 -4.81597185
323 -2.40105107 -3.73251530
324 -1.40105107 -2.40105107
325 3.59894893 -1.40105107
326 -0.40105107 3.59894893
327 -3.40105107 -0.40105107
328 -1.34213348 -3.40105107
329 -0.74882246 -1.34213348
330 0.25117754 -0.74882246
331 1.57440997 0.25117754
332 -2.03206337 1.57440997
333 -0.51803456 -2.03206337
334 -2.34213348 -0.51803456
335 -1.51803456 -2.34213348
336 -3.40105107 -1.51803456
337 -3.49382596 -3.40105107
338 -1.41112969 -3.49382596
339 -5.83195370 -1.41112969
340 -6.24654412 -5.83195370
341 -0.11458062 -6.24654412
342 -0.74882246 -0.11458062
343 0.96128614 -0.74882246
344 -0.40105107 0.96128614
345 8.59894893 -0.40105107
346 -2.40105107 8.59894893
347 2.73744192 -2.40105107
348 -2.53872009 2.73744192
349 -3.40105107 -2.53872009
350 -4.97608762 -3.40105107
351 3.56998769 -4.97608762
352 1.01353935 3.56998769
353 1.25117754 1.01353935
354 2.59894893 1.25117754
355 -1.74882246 2.59894893
356 0.46127991 -1.74882246
357 -3.40105107 0.46127991
358 0.01353935 -3.40105107
359 4.90686285 0.01353935
360 7.09699590 4.90686285
361 3.09699590 7.09699590
362 2.97759329 3.09699590
363 -2.02240671 2.97759329
364 -2.26849637 -2.02240671
365 4.73150363 -2.26849637
366 -3.02240671 4.73150363
367 0.73150363 -3.02240671
368 -2.02240671 0.73150363
369 -1.84796766 -2.02240671
370 -3.53872009 -1.84796766
371 -1.84796766 -3.53872009
372 0.15203234 -1.84796766
373 -1.84796766 0.15203234
374 3.46127991 -1.84796766
375 -0.53872009 3.46127991
376 4.11244527 -0.53872009
377 2.99214523 4.11244527
378 4.42271749 2.99214523
379 5.42271749 4.42271749
380 -0.57728251 5.42271749
381 0.47143668 -0.57728251
382 0.47143668 0.47143668
383 3.82597481 0.47143668
384 -2.17402519 3.82597481
385 -2.49382596 -2.17402519
386 1.75790713 -2.49382596
387 2.11244527 1.75790713
388 5.42271749 2.11244527
389 3.42271749 5.42271749
390 -0.57728251 3.42271749
391 2.50617404 -0.57728251
392 4.42271749 2.50617404
393 -2.27119980 4.42271749
394 0.72880020 -2.27119980
395 1.75790713 0.72880020
396 1.50617404 1.75790713
397 -2.73251530 1.50617404
398 2.26748470 -2.73251530
399 -3.44604485 2.26748470
400 0.26748470 -3.44604485
401 0.26748470 0.26748470
402 -0.60149111 0.26748470
403 -3.52950140 -0.60149111
404 -4.52950140 -3.52950140
405 -1.60149111 -4.52950140
406 -3.03206337 -1.60149111
407 -6.03206337 -3.03206337
408 0.96793663 -6.03206337
409 -2.26849637 0.96793663
410 -4.22382552 -2.26849637
411 -2.82582306 -4.22382552
412 -2.51514400 -2.82582306
413 -4.51514400 -2.51514400
414 -4.22382552 -4.51514400
415 -4.22382552 -4.22382552
416 -5.44604485 -4.22382552
417 -5.44604485 -5.44604485
418 -5.44604485 -5.44604485
419 -3.52950140 -5.44604485
420 -4.52950140 -3.52950140
421 -4.44604485 -4.52950140
422 -5.43582981 -4.44604485
423 -3.76918302 -5.43582981
424 -3.87319734 -3.76918302
425 -1.43582981 -3.87319734
426 -7.10229544 -1.43582981
427 -4.04792050 -7.10229544
428 7.47729387 -4.04792050
429 -0.64033074 7.47729387
430 3.56417019 -0.64033074
431 2.11244527 3.56417019
432 -5.02386873 2.11244527
433 3.12680266 -5.02386873
434 2.18830693 3.12680266
435 -5.44604485 2.18830693
436 -5.82605047 -5.44604485
437 2.46135806 -5.82605047
438 3.06466415 2.46135806
439 1.97613127 3.06466415
440 6.35966926 1.97613127
441 9.35966926 6.35966926
442 4.20628699 9.35966926
443 2.26748470 4.20628699
444 0.92109482 2.26748470
445 0.96793663 0.92109482
446 2.03992634 0.96793663
447 2.75790713 2.03992634
448 7.18830693 2.75790713
449 5.72880020 7.18830693
450 -5.02386873 5.72880020
451 5.35966926 -5.02386873
452 6.50617404 5.35966926
453 -3.44604485 6.50617404
454 -4.93533585 -3.44604485
455 5.16616773 -4.93533585
456 1.42271749 5.16616773
457 -3.31792488 1.42271749
458 -5.75482563 -3.31792488
459 0.55395515 -5.75482563
460 7.35966926 0.55395515
461 3.06466415 7.35966926
462 4.05732686 3.06466415
463 -0.07777647 4.05732686
464 3.92109482 -0.07777647
465 7.48196544 3.92109482
466 -9.00785477 7.48196544
467 4.18830693 -9.00785477
468 4.46135806 4.18830693
469 5.16616773 4.46135806
470 -3.81597185 5.16616773
471 -8.74424211 -3.81597185
472 3.47049860 -8.74424211
473 10.20628699 3.47049860
474 0.75790713 10.20628699
475 -2.96007366 0.75790713
476 5.16616773 -2.96007366
477 10.06466415 5.16616773
478 2.72880020 10.06466415
479 3.75790713 2.72880020
480 12.35966926 3.75790713
481 6.41538020 12.35966926
482 2.75345588 6.41538020
483 0.25575789 2.75345588
484 0.83763827 0.25575789
485 5.54981280 0.83763827
486 -1.83383227 5.54981280
487 -3.24209287 -1.83383227
488 1.25575789 -3.24209287
489 3.56417019 1.25575789
490 -1.04079118 3.56417019
491 9.48485600 -1.04079118
492 13.03992634 9.48485600
493 8.25575789 13.03992634
494 6.06466415 8.25575789
495 3.48196544 6.06466415
496 -4.07890518 3.48196544
497 6.99132268 -4.07890518
498 -5.43582981 6.99132268
499 -5.68737466 -5.43582981
500 -4.24209287 -5.68737466
501 1.75790713 -4.24209287
502 1.75790713 1.75790713
503 2.99214523 1.75790713
504 5.75790713 2.99214523
505 7.35966926 5.75790713
506 -0.44604485 7.35966926
507 9.08685354 -0.44604485
508 0.16616773 9.08685354
509 9.12680266 0.16616773
510 8.11244527 9.12680266
511 5.99132268 8.11244527
512 -1.02240671 5.99132268
513 -2.02240671 -1.02240671
514 1.97759329 -2.02240671
515 1.97759329 1.97759329
516 2.25117754 1.97759329
517 5.25117754 2.25117754
518 3.25117754 5.25117754
519 2.25117754 3.25117754
520 -1.02240671 2.25117754
521 NA -1.02240671
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] 2.21816289 1.21816289
[2,] -0.56774887 2.21816289
[3,] -3.12372116 -0.56774887
[4,] -7.10229544 -3.12372116
[5,] -1.13000338 -7.10229544
[6,] -3.13000338 -1.13000338
[7,] -1.96058245 -3.13000338
[8,] 0.03941755 -1.96058245
[9,] 3.03941755 0.03941755
[10,] -1.96058245 3.03941755
[11,] -0.13000338 -1.96058245
[12,] -5.49382596 -0.13000338
[13,] -0.74882246 -5.49382596
[14,] 4.56998769 -0.74882246
[15,] -4.06976845 4.56998769
[16,] 1.65786652 -4.06976845
[17,] -3.26285127 1.65786652
[18,] -4.85616230 -3.26285127
[19,] -0.03871386 -4.85616230
[20,] -0.34213348 -0.03871386
[21,] -7.00785477 -0.34213348
[22,] -4.06976845 -7.00785477
[23,] -3.49382596 -4.06976845
[24,] -3.57728251 -3.49382596
[25,] -3.85616230 -3.57728251
[26,] -3.26285127 -3.85616230
[27,] -4.31792488 -3.26285127
[28,] -0.74882246 -4.31792488
[29,] 1.95207950 -0.74882246
[30,] -1.65662206 1.95207950
[31,] -2.65662206 -1.65662206
[32,] -0.77175849 -2.65662206
[33,] -3.04792050 -0.77175849
[34,] -1.04792050 -3.04792050
[35,] -5.43582981 -1.04792050
[36,] -5.15966779 -5.43582981
[37,] -3.43582981 -5.15966779
[38,] -2.43582981 -3.43582981
[39,] -2.15966779 -2.43582981
[40,] 9.73744192 -2.15966779
[41,] 8.73744192 9.73744192
[42,] -1.71508260 8.73744192
[43,] 1.21530386 -1.71508260
[44,] -1.71508260 1.21530386
[45,] 1.76277934 -1.71508260
[46,] -1.23722066 1.76277934
[47,] -0.71508260 -1.23722066
[48,] -3.26285127 -0.71508260
[49,] -3.26285127 -3.26285127
[50,] -1.26285127 -3.26285127
[51,] 7.25117754 -1.26285127
[52,] -4.83195370 7.25117754
[53,] -2.26285127 -4.83195370
[54,] 0.16804630 -2.26285127
[55,] 0.99214523 0.16804630
[56,] 3.50617404 0.99214523
[57,] 1.26748470 3.50617404
[58,] -0.74882246 1.26748470
[59,] -2.44604485 -0.74882246
[60,] -3.26285127 -2.44604485
[61,] -2.72461386 -3.26285127
[62,] -5.96007366 -2.72461386
[63,] -4.23864267 -5.96007366
[64,] -4.31792488 -4.23864267
[65,] 3.55395515 -4.31792488
[66,] 0.65786652 3.55395515
[67,] 1.55395515 0.65786652
[68,] -1.72461386 1.55395515
[69,] -6.23864267 -1.72461386
[70,] -2.73251530 -6.23864267
[71,] 1.25117754 -2.73251530
[72,] -3.31792488 1.25117754
[73,] -2.97384512 -3.31792488
[74,] -4.48528803 -2.97384512
[75,] 5.03446074 -4.48528803
[76,] -5.53864194 5.03446074
[77,] -4.12372116 -5.53864194
[78,] 2.63308367 -4.12372116
[79,] 0.75790713 2.63308367
[80,] 4.56417019 0.75790713
[81,] 24.60115549 4.56417019
[82,] 2.61995933 24.60115549
[83,] -0.45018720 2.61995933
[84,] -5.76918302 -0.45018720
[85,] -3.43582981 -5.76918302
[86,] -3.66492791 -3.43582981
[87,] 1.23081698 -3.66492791
[88,] 2.88635746 1.23081698
[89,] 3.63308367 2.88635746
[90,] -2.75910441 3.63308367
[91,] -9.10229544 -2.75910441
[92,] 3.02438212 -9.10229544
[93,] -4.10229544 3.02438212
[94,] 3.25525299 -4.10229544
[95,] -4.10229544 3.25525299
[96,] -1.45018720 -4.10229544
[97,] -7.28987398 -1.45018720
[98,] -4.27119980 -7.28987398
[99,] 5.03446074 -4.27119980
[100,] -2.43582981 5.03446074
[101,] -7.39884451 -2.43582981
[102,] 1.71012602 -7.39884451
[103,] 0.16616773 1.71012602
[104,] 0.02438212 0.16616773
[105,] -3.97384512 0.02438212
[106,] -1.36691633 -3.97384512
[107,] -6.39884451 -1.36691633
[108,] 2.24089559 -6.39884451
[109,] -4.39053866 2.24089559
[110,] 2.23081698 -4.39053866
[111,] -3.27119980 2.23081698
[112,] 2.88635746 -3.27119980
[113,] 1.10259406 2.88635746
[114,] 2.55395515 1.10259406
[115,] -2.73251530 2.55395515
[116,] -4.44604485 -2.73251530
[117,] -0.02240671 -4.44604485
[118,] 0.97759329 -0.02240671
[119,] -0.02240671 0.97759329
[120,] -2.44604485 -0.02240671
[121,] -1.41370516 -2.44604485
[122,] -1.02240671 -1.41370516
[123,] 0.97759329 -1.02240671
[124,] -2.31792488 0.97759329
[125,] -0.02240671 -2.31792488
[126,] -1.31792488 -0.02240671
[127,] -1.81597185 -1.31792488
[128,] -1.81597185 -1.81597185
[129,] 0.95207950 -1.81597185
[130,] 1.58108851 0.95207950
[131,] 0.58108851 1.58108851
[132,] 3.12680266 0.58108851
[133,] -6.88755473 3.12680266
[134,] -6.80472534 -6.88755473
[135,] 2.12680266 -6.80472534
[136,] 2.11244527 2.12680266
[137,] -4.10229544 2.11244527
[138,] 2.74999287 -4.10229544
[139,] -3.83383227 2.74999287
[140,] -1.80472534 -3.83383227
[141,] -0.89195379 -1.80472534
[142,] 1.16616773 -0.89195379
[143,] 6.47049860 1.16616773
[144,] -7.96007366 6.47049860
[145,] 3.55395515 -7.96007366
[146,] 4.95207950 3.55395515
[147,] 0.34337794 4.95207950
[148,] -3.88755473 0.34337794
[149,] -1.06976845 -3.88755473
[150,] 0.89770456 -1.06976845
[151,] 1.55395515 0.89770456
[152,] 3.50617404 1.55395515
[153,] 14.25740608 3.50617404
[154,] 5.25740608 14.25740608
[155,] -0.75672390 5.25740608
[156,] 1.15203234 -0.75672390
[157,] 7.15203234 1.15203234
[158,] 0.15203234 7.15203234
[159,] 2.75345588 0.15203234
[160,] 9.75345588 2.75345588
[161,] -2.96007366 9.75345588
[162,] -0.96007366 -2.96007366
[163,] 0.16804630 -0.96007366
[164,] 3.03992634 0.16804630
[165,] -3.24654412 3.03992634
[166,] -6.24654412 -3.24654412
[167,] -4.83195370 -6.24654412
[168,] 3.16804630 -4.83195370
[169,] 17.03992634 3.16804630
[170,] -6.24654412 17.03992634
[171,] -3.57728251 -6.24654412
[172,] 2.69154221 -3.57728251
[173,] 7.16804630 2.69154221
[174,] 10.16804630 7.16804630
[175,] 5.59861857 10.16804630
[176,] -6.96007366 5.59861857
[177,] -1.83195370 -6.96007366
[178,] -1.24654412 -1.83195370
[179,] 7.75345588 -1.24654412
[180,] 14.75345588 7.75345588
[181,] -2.40138143 14.75345588
[182,] -7.24654412 -2.40138143
[183,] -0.83195370 -7.24654412
[184,] 1.75345588 -0.83195370
[185,] 4.75345588 1.75345588
[186,] 2.03992634 4.75345588
[187,] 0.25740608 2.03992634
[188,] 11.16804630 0.25740608
[189,] -0.40138143 11.16804630
[190,] -3.24654412 -0.40138143
[191,] 15.03992634 -3.24654412
[192,] 4.55395515 15.03992634
[193,] 4.75345588 4.55395515
[194,] 2.16804630 4.75345588
[195,] 2.03992634 2.16804630
[196,] 9.59861857 2.03992634
[197,] -0.83195370 9.59861857
[198,] 3.75345588 -0.83195370
[199,] 1.25740608 3.75345588
[200,] 0.55395515 1.25740608
[201,] -7.24654412 0.55395515
[202,] -2.24654412 -7.24654412
[203,] -0.96007366 -2.24654412
[204,] -2.24654412 -0.96007366
[205,] -2.40138143 -2.24654412
[206,] 11.03992634 -2.40138143
[207,] 4.75345588 11.03992634
[208,] 9.75345588 4.75345588
[209,] -5.24654412 9.75345588
[210,] 6.75345588 -5.24654412
[211,] -1.57728251 6.75345588
[212,] -2.96007366 -1.57728251
[213,] 3.16804630 -2.96007366
[214,] -1.57728251 3.16804630
[215,] 15.75345588 -1.57728251
[216,] -1.96007366 15.75345588
[217,] 5.75345588 -1.96007366
[218,] 7.75345588 5.75345588
[219,] 0.75345588 7.75345588
[220,] -4.30845779 0.75345588
[221,] -3.30845779 -4.30845779
[222,] -3.40105107 -3.30845779
[223,] -3.40105107 -3.40105107
[224,] -3.41370516 -3.40105107
[225,] -6.74259392 -3.41370516
[226,] -2.41370516 -6.74259392
[227,] 0.88541938 -2.41370516
[228,] -3.40105107 0.88541938
[229,] -4.74259392 -3.40105107
[230,] -2.30845779 -4.74259392
[231,] -0.11458062 -2.30845779
[232,] -2.40105107 -0.11458062
[233,] 5.88541938 -2.40105107
[234,] -2.40105107 5.88541938
[235,] -3.40105107 -2.40105107
[236,] -6.74259392 -3.40105107
[237,] -3.68986717 -6.74259392
[238,] -2.53226653 -3.68986717
[239,] -2.09213387 -2.53226653
[240,] -4.47577893 -2.09213387
[241,] 3.25117754 -4.47577893
[242,] -4.47577893 3.25117754
[243,] -1.04701972 -4.47577893
[244,] -1.53226653 -1.04701972
[245,] -1.04701972 -1.53226653
[246,] -0.40105107 -1.04701972
[247,] 7.33333333 -0.40105107
[248,] -7.66666667 7.33333333
[249,] 1.33333333 -7.66666667
[250,] -1.66666667 1.33333333
[251,] -3.66666667 -1.66666667
[252,] -7.66666667 -3.66666667
[253,] -5.66666667 -7.66666667
[254,] 2.33333333 -5.66666667
[255,] 4.33333333 2.33333333
[256,] -4.66666667 4.33333333
[257,] -0.66666667 -4.66666667
[258,] 16.33333333 -0.66666667
[259,] 8.73150363 16.33333333
[260,] 0.73150363 8.73150363
[261,] 1.73150363 0.73150363
[262,] -3.26849637 1.73150363
[263,] 0.16804630 -3.26849637
[264,] -1.09213387 0.16804630
[265,] 0.48485600 -1.09213387
[266,] 3.68207512 0.48485600
[267,] 1.48485600 3.68207512
[268,] -0.24654412 1.48485600
[269,] -4.85616230 -0.24654412
[270,] -6.85616230 -4.85616230
[271,] -2.42559003 -6.85616230
[272,] 4.03907243 -2.42559003
[273,] -5.96092757 4.03907243
[274,] -3.31792488 -5.96092757
[275,] 4.61297596 -3.31792488
[276,] 1.03907243 4.61297596
[277,] 2.99132268 1.03907243
[278,] -0.51803456 2.99132268
[279,] -2.73593625 -0.51803456
[280,] 1.18376818 -2.73593625
[281,] 3.48485600 1.18376818
[282,] -5.96007366 3.48485600
[283,] -3.96007366 -5.96007366
[284,] -7.83195370 -3.96007366
[285,] -2.75672390 -7.83195370
[286,] -6.83195370 -2.75672390
[287,] 0.39218371 -6.83195370
[288,] -2.83195370 0.39218371
[289,] -0.83195370 -2.83195370
[290,] -6.83195370 -0.83195370
[291,] -5.83195370 -6.83195370
[292,] 4.03992634 -5.83195370
[293,] -4.96007366 4.03992634
[294,] -3.38702404 -4.96007366
[295,] 0.61297596 -3.38702404
[296,] -2.38702404 0.61297596
[297,] -1.81169307 -2.38702404
[298,] -3.38702404 -1.81169307
[299,] -5.81169307 -3.38702404
[300,] -2.38702404 -5.81169307
[301,] -1.38702404 -2.38702404
[302,] -3.38702404 -1.38702404
[303,] -1.38702404 -3.38702404
[304,] -1.74882246 -1.38702404
[305,] 2.65786652 -1.74882246
[306,] -1.04701972 2.65786652
[307,] 3.19076490 -1.04701972
[308,] 0.95298028 3.19076490
[309,] -0.74882246 0.95298028
[310,] -3.34213348 -0.74882246
[311,] 3.67523506 -3.34213348
[312,] -2.04701972 3.67523506
[313,] -3.04701972 -2.04701972
[314,] -3.04701972 -3.04701972
[315,] -0.32476494 -3.04701972
[316,] -3.80923510 -0.32476494
[317,] -3.40105107 -3.80923510
[318,] 0.59894893 -3.40105107
[319,] -4.40138143 0.59894893
[320,] -0.40105107 -4.40138143
[321,] -4.81597185 -0.40105107
[322,] -3.73251530 -4.81597185
[323,] -2.40105107 -3.73251530
[324,] -1.40105107 -2.40105107
[325,] 3.59894893 -1.40105107
[326,] -0.40105107 3.59894893
[327,] -3.40105107 -0.40105107
[328,] -1.34213348 -3.40105107
[329,] -0.74882246 -1.34213348
[330,] 0.25117754 -0.74882246
[331,] 1.57440997 0.25117754
[332,] -2.03206337 1.57440997
[333,] -0.51803456 -2.03206337
[334,] -2.34213348 -0.51803456
[335,] -1.51803456 -2.34213348
[336,] -3.40105107 -1.51803456
[337,] -3.49382596 -3.40105107
[338,] -1.41112969 -3.49382596
[339,] -5.83195370 -1.41112969
[340,] -6.24654412 -5.83195370
[341,] -0.11458062 -6.24654412
[342,] -0.74882246 -0.11458062
[343,] 0.96128614 -0.74882246
[344,] -0.40105107 0.96128614
[345,] 8.59894893 -0.40105107
[346,] -2.40105107 8.59894893
[347,] 2.73744192 -2.40105107
[348,] -2.53872009 2.73744192
[349,] -3.40105107 -2.53872009
[350,] -4.97608762 -3.40105107
[351,] 3.56998769 -4.97608762
[352,] 1.01353935 3.56998769
[353,] 1.25117754 1.01353935
[354,] 2.59894893 1.25117754
[355,] -1.74882246 2.59894893
[356,] 0.46127991 -1.74882246
[357,] -3.40105107 0.46127991
[358,] 0.01353935 -3.40105107
[359,] 4.90686285 0.01353935
[360,] 7.09699590 4.90686285
[361,] 3.09699590 7.09699590
[362,] 2.97759329 3.09699590
[363,] -2.02240671 2.97759329
[364,] -2.26849637 -2.02240671
[365,] 4.73150363 -2.26849637
[366,] -3.02240671 4.73150363
[367,] 0.73150363 -3.02240671
[368,] -2.02240671 0.73150363
[369,] -1.84796766 -2.02240671
[370,] -3.53872009 -1.84796766
[371,] -1.84796766 -3.53872009
[372,] 0.15203234 -1.84796766
[373,] -1.84796766 0.15203234
[374,] 3.46127991 -1.84796766
[375,] -0.53872009 3.46127991
[376,] 4.11244527 -0.53872009
[377,] 2.99214523 4.11244527
[378,] 4.42271749 2.99214523
[379,] 5.42271749 4.42271749
[380,] -0.57728251 5.42271749
[381,] 0.47143668 -0.57728251
[382,] 0.47143668 0.47143668
[383,] 3.82597481 0.47143668
[384,] -2.17402519 3.82597481
[385,] -2.49382596 -2.17402519
[386,] 1.75790713 -2.49382596
[387,] 2.11244527 1.75790713
[388,] 5.42271749 2.11244527
[389,] 3.42271749 5.42271749
[390,] -0.57728251 3.42271749
[391,] 2.50617404 -0.57728251
[392,] 4.42271749 2.50617404
[393,] -2.27119980 4.42271749
[394,] 0.72880020 -2.27119980
[395,] 1.75790713 0.72880020
[396,] 1.50617404 1.75790713
[397,] -2.73251530 1.50617404
[398,] 2.26748470 -2.73251530
[399,] -3.44604485 2.26748470
[400,] 0.26748470 -3.44604485
[401,] 0.26748470 0.26748470
[402,] -0.60149111 0.26748470
[403,] -3.52950140 -0.60149111
[404,] -4.52950140 -3.52950140
[405,] -1.60149111 -4.52950140
[406,] -3.03206337 -1.60149111
[407,] -6.03206337 -3.03206337
[408,] 0.96793663 -6.03206337
[409,] -2.26849637 0.96793663
[410,] -4.22382552 -2.26849637
[411,] -2.82582306 -4.22382552
[412,] -2.51514400 -2.82582306
[413,] -4.51514400 -2.51514400
[414,] -4.22382552 -4.51514400
[415,] -4.22382552 -4.22382552
[416,] -5.44604485 -4.22382552
[417,] -5.44604485 -5.44604485
[418,] -5.44604485 -5.44604485
[419,] -3.52950140 -5.44604485
[420,] -4.52950140 -3.52950140
[421,] -4.44604485 -4.52950140
[422,] -5.43582981 -4.44604485
[423,] -3.76918302 -5.43582981
[424,] -3.87319734 -3.76918302
[425,] -1.43582981 -3.87319734
[426,] -7.10229544 -1.43582981
[427,] -4.04792050 -7.10229544
[428,] 7.47729387 -4.04792050
[429,] -0.64033074 7.47729387
[430,] 3.56417019 -0.64033074
[431,] 2.11244527 3.56417019
[432,] -5.02386873 2.11244527
[433,] 3.12680266 -5.02386873
[434,] 2.18830693 3.12680266
[435,] -5.44604485 2.18830693
[436,] -5.82605047 -5.44604485
[437,] 2.46135806 -5.82605047
[438,] 3.06466415 2.46135806
[439,] 1.97613127 3.06466415
[440,] 6.35966926 1.97613127
[441,] 9.35966926 6.35966926
[442,] 4.20628699 9.35966926
[443,] 2.26748470 4.20628699
[444,] 0.92109482 2.26748470
[445,] 0.96793663 0.92109482
[446,] 2.03992634 0.96793663
[447,] 2.75790713 2.03992634
[448,] 7.18830693 2.75790713
[449,] 5.72880020 7.18830693
[450,] -5.02386873 5.72880020
[451,] 5.35966926 -5.02386873
[452,] 6.50617404 5.35966926
[453,] -3.44604485 6.50617404
[454,] -4.93533585 -3.44604485
[455,] 5.16616773 -4.93533585
[456,] 1.42271749 5.16616773
[457,] -3.31792488 1.42271749
[458,] -5.75482563 -3.31792488
[459,] 0.55395515 -5.75482563
[460,] 7.35966926 0.55395515
[461,] 3.06466415 7.35966926
[462,] 4.05732686 3.06466415
[463,] -0.07777647 4.05732686
[464,] 3.92109482 -0.07777647
[465,] 7.48196544 3.92109482
[466,] -9.00785477 7.48196544
[467,] 4.18830693 -9.00785477
[468,] 4.46135806 4.18830693
[469,] 5.16616773 4.46135806
[470,] -3.81597185 5.16616773
[471,] -8.74424211 -3.81597185
[472,] 3.47049860 -8.74424211
[473,] 10.20628699 3.47049860
[474,] 0.75790713 10.20628699
[475,] -2.96007366 0.75790713
[476,] 5.16616773 -2.96007366
[477,] 10.06466415 5.16616773
[478,] 2.72880020 10.06466415
[479,] 3.75790713 2.72880020
[480,] 12.35966926 3.75790713
[481,] 6.41538020 12.35966926
[482,] 2.75345588 6.41538020
[483,] 0.25575789 2.75345588
[484,] 0.83763827 0.25575789
[485,] 5.54981280 0.83763827
[486,] -1.83383227 5.54981280
[487,] -3.24209287 -1.83383227
[488,] 1.25575789 -3.24209287
[489,] 3.56417019 1.25575789
[490,] -1.04079118 3.56417019
[491,] 9.48485600 -1.04079118
[492,] 13.03992634 9.48485600
[493,] 8.25575789 13.03992634
[494,] 6.06466415 8.25575789
[495,] 3.48196544 6.06466415
[496,] -4.07890518 3.48196544
[497,] 6.99132268 -4.07890518
[498,] -5.43582981 6.99132268
[499,] -5.68737466 -5.43582981
[500,] -4.24209287 -5.68737466
[501,] 1.75790713 -4.24209287
[502,] 1.75790713 1.75790713
[503,] 2.99214523 1.75790713
[504,] 5.75790713 2.99214523
[505,] 7.35966926 5.75790713
[506,] -0.44604485 7.35966926
[507,] 9.08685354 -0.44604485
[508,] 0.16616773 9.08685354
[509,] 9.12680266 0.16616773
[510,] 8.11244527 9.12680266
[511,] 5.99132268 8.11244527
[512,] -1.02240671 5.99132268
[513,] -2.02240671 -1.02240671
[514,] 1.97759329 -2.02240671
[515,] 1.97759329 1.97759329
[516,] 2.25117754 1.97759329
[517,] 5.25117754 2.25117754
[518,] 3.25117754 5.25117754
[519,] 2.25117754 3.25117754
[520,] -1.02240671 2.25117754
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 2.21816289 1.21816289
2 -0.56774887 2.21816289
3 -3.12372116 -0.56774887
4 -7.10229544 -3.12372116
5 -1.13000338 -7.10229544
6 -3.13000338 -1.13000338
7 -1.96058245 -3.13000338
8 0.03941755 -1.96058245
9 3.03941755 0.03941755
10 -1.96058245 3.03941755
11 -0.13000338 -1.96058245
12 -5.49382596 -0.13000338
13 -0.74882246 -5.49382596
14 4.56998769 -0.74882246
15 -4.06976845 4.56998769
16 1.65786652 -4.06976845
17 -3.26285127 1.65786652
18 -4.85616230 -3.26285127
19 -0.03871386 -4.85616230
20 -0.34213348 -0.03871386
21 -7.00785477 -0.34213348
22 -4.06976845 -7.00785477
23 -3.49382596 -4.06976845
24 -3.57728251 -3.49382596
25 -3.85616230 -3.57728251
26 -3.26285127 -3.85616230
27 -4.31792488 -3.26285127
28 -0.74882246 -4.31792488
29 1.95207950 -0.74882246
30 -1.65662206 1.95207950
31 -2.65662206 -1.65662206
32 -0.77175849 -2.65662206
33 -3.04792050 -0.77175849
34 -1.04792050 -3.04792050
35 -5.43582981 -1.04792050
36 -5.15966779 -5.43582981
37 -3.43582981 -5.15966779
38 -2.43582981 -3.43582981
39 -2.15966779 -2.43582981
40 9.73744192 -2.15966779
41 8.73744192 9.73744192
42 -1.71508260 8.73744192
43 1.21530386 -1.71508260
44 -1.71508260 1.21530386
45 1.76277934 -1.71508260
46 -1.23722066 1.76277934
47 -0.71508260 -1.23722066
48 -3.26285127 -0.71508260
49 -3.26285127 -3.26285127
50 -1.26285127 -3.26285127
51 7.25117754 -1.26285127
52 -4.83195370 7.25117754
53 -2.26285127 -4.83195370
54 0.16804630 -2.26285127
55 0.99214523 0.16804630
56 3.50617404 0.99214523
57 1.26748470 3.50617404
58 -0.74882246 1.26748470
59 -2.44604485 -0.74882246
60 -3.26285127 -2.44604485
61 -2.72461386 -3.26285127
62 -5.96007366 -2.72461386
63 -4.23864267 -5.96007366
64 -4.31792488 -4.23864267
65 3.55395515 -4.31792488
66 0.65786652 3.55395515
67 1.55395515 0.65786652
68 -1.72461386 1.55395515
69 -6.23864267 -1.72461386
70 -2.73251530 -6.23864267
71 1.25117754 -2.73251530
72 -3.31792488 1.25117754
73 -2.97384512 -3.31792488
74 -4.48528803 -2.97384512
75 5.03446074 -4.48528803
76 -5.53864194 5.03446074
77 -4.12372116 -5.53864194
78 2.63308367 -4.12372116
79 0.75790713 2.63308367
80 4.56417019 0.75790713
81 24.60115549 4.56417019
82 2.61995933 24.60115549
83 -0.45018720 2.61995933
84 -5.76918302 -0.45018720
85 -3.43582981 -5.76918302
86 -3.66492791 -3.43582981
87 1.23081698 -3.66492791
88 2.88635746 1.23081698
89 3.63308367 2.88635746
90 -2.75910441 3.63308367
91 -9.10229544 -2.75910441
92 3.02438212 -9.10229544
93 -4.10229544 3.02438212
94 3.25525299 -4.10229544
95 -4.10229544 3.25525299
96 -1.45018720 -4.10229544
97 -7.28987398 -1.45018720
98 -4.27119980 -7.28987398
99 5.03446074 -4.27119980
100 -2.43582981 5.03446074
101 -7.39884451 -2.43582981
102 1.71012602 -7.39884451
103 0.16616773 1.71012602
104 0.02438212 0.16616773
105 -3.97384512 0.02438212
106 -1.36691633 -3.97384512
107 -6.39884451 -1.36691633
108 2.24089559 -6.39884451
109 -4.39053866 2.24089559
110 2.23081698 -4.39053866
111 -3.27119980 2.23081698
112 2.88635746 -3.27119980
113 1.10259406 2.88635746
114 2.55395515 1.10259406
115 -2.73251530 2.55395515
116 -4.44604485 -2.73251530
117 -0.02240671 -4.44604485
118 0.97759329 -0.02240671
119 -0.02240671 0.97759329
120 -2.44604485 -0.02240671
121 -1.41370516 -2.44604485
122 -1.02240671 -1.41370516
123 0.97759329 -1.02240671
124 -2.31792488 0.97759329
125 -0.02240671 -2.31792488
126 -1.31792488 -0.02240671
127 -1.81597185 -1.31792488
128 -1.81597185 -1.81597185
129 0.95207950 -1.81597185
130 1.58108851 0.95207950
131 0.58108851 1.58108851
132 3.12680266 0.58108851
133 -6.88755473 3.12680266
134 -6.80472534 -6.88755473
135 2.12680266 -6.80472534
136 2.11244527 2.12680266
137 -4.10229544 2.11244527
138 2.74999287 -4.10229544
139 -3.83383227 2.74999287
140 -1.80472534 -3.83383227
141 -0.89195379 -1.80472534
142 1.16616773 -0.89195379
143 6.47049860 1.16616773
144 -7.96007366 6.47049860
145 3.55395515 -7.96007366
146 4.95207950 3.55395515
147 0.34337794 4.95207950
148 -3.88755473 0.34337794
149 -1.06976845 -3.88755473
150 0.89770456 -1.06976845
151 1.55395515 0.89770456
152 3.50617404 1.55395515
153 14.25740608 3.50617404
154 5.25740608 14.25740608
155 -0.75672390 5.25740608
156 1.15203234 -0.75672390
157 7.15203234 1.15203234
158 0.15203234 7.15203234
159 2.75345588 0.15203234
160 9.75345588 2.75345588
161 -2.96007366 9.75345588
162 -0.96007366 -2.96007366
163 0.16804630 -0.96007366
164 3.03992634 0.16804630
165 -3.24654412 3.03992634
166 -6.24654412 -3.24654412
167 -4.83195370 -6.24654412
168 3.16804630 -4.83195370
169 17.03992634 3.16804630
170 -6.24654412 17.03992634
171 -3.57728251 -6.24654412
172 2.69154221 -3.57728251
173 7.16804630 2.69154221
174 10.16804630 7.16804630
175 5.59861857 10.16804630
176 -6.96007366 5.59861857
177 -1.83195370 -6.96007366
178 -1.24654412 -1.83195370
179 7.75345588 -1.24654412
180 14.75345588 7.75345588
181 -2.40138143 14.75345588
182 -7.24654412 -2.40138143
183 -0.83195370 -7.24654412
184 1.75345588 -0.83195370
185 4.75345588 1.75345588
186 2.03992634 4.75345588
187 0.25740608 2.03992634
188 11.16804630 0.25740608
189 -0.40138143 11.16804630
190 -3.24654412 -0.40138143
191 15.03992634 -3.24654412
192 4.55395515 15.03992634
193 4.75345588 4.55395515
194 2.16804630 4.75345588
195 2.03992634 2.16804630
196 9.59861857 2.03992634
197 -0.83195370 9.59861857
198 3.75345588 -0.83195370
199 1.25740608 3.75345588
200 0.55395515 1.25740608
201 -7.24654412 0.55395515
202 -2.24654412 -7.24654412
203 -0.96007366 -2.24654412
204 -2.24654412 -0.96007366
205 -2.40138143 -2.24654412
206 11.03992634 -2.40138143
207 4.75345588 11.03992634
208 9.75345588 4.75345588
209 -5.24654412 9.75345588
210 6.75345588 -5.24654412
211 -1.57728251 6.75345588
212 -2.96007366 -1.57728251
213 3.16804630 -2.96007366
214 -1.57728251 3.16804630
215 15.75345588 -1.57728251
216 -1.96007366 15.75345588
217 5.75345588 -1.96007366
218 7.75345588 5.75345588
219 0.75345588 7.75345588
220 -4.30845779 0.75345588
221 -3.30845779 -4.30845779
222 -3.40105107 -3.30845779
223 -3.40105107 -3.40105107
224 -3.41370516 -3.40105107
225 -6.74259392 -3.41370516
226 -2.41370516 -6.74259392
227 0.88541938 -2.41370516
228 -3.40105107 0.88541938
229 -4.74259392 -3.40105107
230 -2.30845779 -4.74259392
231 -0.11458062 -2.30845779
232 -2.40105107 -0.11458062
233 5.88541938 -2.40105107
234 -2.40105107 5.88541938
235 -3.40105107 -2.40105107
236 -6.74259392 -3.40105107
237 -3.68986717 -6.74259392
238 -2.53226653 -3.68986717
239 -2.09213387 -2.53226653
240 -4.47577893 -2.09213387
241 3.25117754 -4.47577893
242 -4.47577893 3.25117754
243 -1.04701972 -4.47577893
244 -1.53226653 -1.04701972
245 -1.04701972 -1.53226653
246 -0.40105107 -1.04701972
247 7.33333333 -0.40105107
248 -7.66666667 7.33333333
249 1.33333333 -7.66666667
250 -1.66666667 1.33333333
251 -3.66666667 -1.66666667
252 -7.66666667 -3.66666667
253 -5.66666667 -7.66666667
254 2.33333333 -5.66666667
255 4.33333333 2.33333333
256 -4.66666667 4.33333333
257 -0.66666667 -4.66666667
258 16.33333333 -0.66666667
259 8.73150363 16.33333333
260 0.73150363 8.73150363
261 1.73150363 0.73150363
262 -3.26849637 1.73150363
263 0.16804630 -3.26849637
264 -1.09213387 0.16804630
265 0.48485600 -1.09213387
266 3.68207512 0.48485600
267 1.48485600 3.68207512
268 -0.24654412 1.48485600
269 -4.85616230 -0.24654412
270 -6.85616230 -4.85616230
271 -2.42559003 -6.85616230
272 4.03907243 -2.42559003
273 -5.96092757 4.03907243
274 -3.31792488 -5.96092757
275 4.61297596 -3.31792488
276 1.03907243 4.61297596
277 2.99132268 1.03907243
278 -0.51803456 2.99132268
279 -2.73593625 -0.51803456
280 1.18376818 -2.73593625
281 3.48485600 1.18376818
282 -5.96007366 3.48485600
283 -3.96007366 -5.96007366
284 -7.83195370 -3.96007366
285 -2.75672390 -7.83195370
286 -6.83195370 -2.75672390
287 0.39218371 -6.83195370
288 -2.83195370 0.39218371
289 -0.83195370 -2.83195370
290 -6.83195370 -0.83195370
291 -5.83195370 -6.83195370
292 4.03992634 -5.83195370
293 -4.96007366 4.03992634
294 -3.38702404 -4.96007366
295 0.61297596 -3.38702404
296 -2.38702404 0.61297596
297 -1.81169307 -2.38702404
298 -3.38702404 -1.81169307
299 -5.81169307 -3.38702404
300 -2.38702404 -5.81169307
301 -1.38702404 -2.38702404
302 -3.38702404 -1.38702404
303 -1.38702404 -3.38702404
304 -1.74882246 -1.38702404
305 2.65786652 -1.74882246
306 -1.04701972 2.65786652
307 3.19076490 -1.04701972
308 0.95298028 3.19076490
309 -0.74882246 0.95298028
310 -3.34213348 -0.74882246
311 3.67523506 -3.34213348
312 -2.04701972 3.67523506
313 -3.04701972 -2.04701972
314 -3.04701972 -3.04701972
315 -0.32476494 -3.04701972
316 -3.80923510 -0.32476494
317 -3.40105107 -3.80923510
318 0.59894893 -3.40105107
319 -4.40138143 0.59894893
320 -0.40105107 -4.40138143
321 -4.81597185 -0.40105107
322 -3.73251530 -4.81597185
323 -2.40105107 -3.73251530
324 -1.40105107 -2.40105107
325 3.59894893 -1.40105107
326 -0.40105107 3.59894893
327 -3.40105107 -0.40105107
328 -1.34213348 -3.40105107
329 -0.74882246 -1.34213348
330 0.25117754 -0.74882246
331 1.57440997 0.25117754
332 -2.03206337 1.57440997
333 -0.51803456 -2.03206337
334 -2.34213348 -0.51803456
335 -1.51803456 -2.34213348
336 -3.40105107 -1.51803456
337 -3.49382596 -3.40105107
338 -1.41112969 -3.49382596
339 -5.83195370 -1.41112969
340 -6.24654412 -5.83195370
341 -0.11458062 -6.24654412
342 -0.74882246 -0.11458062
343 0.96128614 -0.74882246
344 -0.40105107 0.96128614
345 8.59894893 -0.40105107
346 -2.40105107 8.59894893
347 2.73744192 -2.40105107
348 -2.53872009 2.73744192
349 -3.40105107 -2.53872009
350 -4.97608762 -3.40105107
351 3.56998769 -4.97608762
352 1.01353935 3.56998769
353 1.25117754 1.01353935
354 2.59894893 1.25117754
355 -1.74882246 2.59894893
356 0.46127991 -1.74882246
357 -3.40105107 0.46127991
358 0.01353935 -3.40105107
359 4.90686285 0.01353935
360 7.09699590 4.90686285
361 3.09699590 7.09699590
362 2.97759329 3.09699590
363 -2.02240671 2.97759329
364 -2.26849637 -2.02240671
365 4.73150363 -2.26849637
366 -3.02240671 4.73150363
367 0.73150363 -3.02240671
368 -2.02240671 0.73150363
369 -1.84796766 -2.02240671
370 -3.53872009 -1.84796766
371 -1.84796766 -3.53872009
372 0.15203234 -1.84796766
373 -1.84796766 0.15203234
374 3.46127991 -1.84796766
375 -0.53872009 3.46127991
376 4.11244527 -0.53872009
377 2.99214523 4.11244527
378 4.42271749 2.99214523
379 5.42271749 4.42271749
380 -0.57728251 5.42271749
381 0.47143668 -0.57728251
382 0.47143668 0.47143668
383 3.82597481 0.47143668
384 -2.17402519 3.82597481
385 -2.49382596 -2.17402519
386 1.75790713 -2.49382596
387 2.11244527 1.75790713
388 5.42271749 2.11244527
389 3.42271749 5.42271749
390 -0.57728251 3.42271749
391 2.50617404 -0.57728251
392 4.42271749 2.50617404
393 -2.27119980 4.42271749
394 0.72880020 -2.27119980
395 1.75790713 0.72880020
396 1.50617404 1.75790713
397 -2.73251530 1.50617404
398 2.26748470 -2.73251530
399 -3.44604485 2.26748470
400 0.26748470 -3.44604485
401 0.26748470 0.26748470
402 -0.60149111 0.26748470
403 -3.52950140 -0.60149111
404 -4.52950140 -3.52950140
405 -1.60149111 -4.52950140
406 -3.03206337 -1.60149111
407 -6.03206337 -3.03206337
408 0.96793663 -6.03206337
409 -2.26849637 0.96793663
410 -4.22382552 -2.26849637
411 -2.82582306 -4.22382552
412 -2.51514400 -2.82582306
413 -4.51514400 -2.51514400
414 -4.22382552 -4.51514400
415 -4.22382552 -4.22382552
416 -5.44604485 -4.22382552
417 -5.44604485 -5.44604485
418 -5.44604485 -5.44604485
419 -3.52950140 -5.44604485
420 -4.52950140 -3.52950140
421 -4.44604485 -4.52950140
422 -5.43582981 -4.44604485
423 -3.76918302 -5.43582981
424 -3.87319734 -3.76918302
425 -1.43582981 -3.87319734
426 -7.10229544 -1.43582981
427 -4.04792050 -7.10229544
428 7.47729387 -4.04792050
429 -0.64033074 7.47729387
430 3.56417019 -0.64033074
431 2.11244527 3.56417019
432 -5.02386873 2.11244527
433 3.12680266 -5.02386873
434 2.18830693 3.12680266
435 -5.44604485 2.18830693
436 -5.82605047 -5.44604485
437 2.46135806 -5.82605047
438 3.06466415 2.46135806
439 1.97613127 3.06466415
440 6.35966926 1.97613127
441 9.35966926 6.35966926
442 4.20628699 9.35966926
443 2.26748470 4.20628699
444 0.92109482 2.26748470
445 0.96793663 0.92109482
446 2.03992634 0.96793663
447 2.75790713 2.03992634
448 7.18830693 2.75790713
449 5.72880020 7.18830693
450 -5.02386873 5.72880020
451 5.35966926 -5.02386873
452 6.50617404 5.35966926
453 -3.44604485 6.50617404
454 -4.93533585 -3.44604485
455 5.16616773 -4.93533585
456 1.42271749 5.16616773
457 -3.31792488 1.42271749
458 -5.75482563 -3.31792488
459 0.55395515 -5.75482563
460 7.35966926 0.55395515
461 3.06466415 7.35966926
462 4.05732686 3.06466415
463 -0.07777647 4.05732686
464 3.92109482 -0.07777647
465 7.48196544 3.92109482
466 -9.00785477 7.48196544
467 4.18830693 -9.00785477
468 4.46135806 4.18830693
469 5.16616773 4.46135806
470 -3.81597185 5.16616773
471 -8.74424211 -3.81597185
472 3.47049860 -8.74424211
473 10.20628699 3.47049860
474 0.75790713 10.20628699
475 -2.96007366 0.75790713
476 5.16616773 -2.96007366
477 10.06466415 5.16616773
478 2.72880020 10.06466415
479 3.75790713 2.72880020
480 12.35966926 3.75790713
481 6.41538020 12.35966926
482 2.75345588 6.41538020
483 0.25575789 2.75345588
484 0.83763827 0.25575789
485 5.54981280 0.83763827
486 -1.83383227 5.54981280
487 -3.24209287 -1.83383227
488 1.25575789 -3.24209287
489 3.56417019 1.25575789
490 -1.04079118 3.56417019
491 9.48485600 -1.04079118
492 13.03992634 9.48485600
493 8.25575789 13.03992634
494 6.06466415 8.25575789
495 3.48196544 6.06466415
496 -4.07890518 3.48196544
497 6.99132268 -4.07890518
498 -5.43582981 6.99132268
499 -5.68737466 -5.43582981
500 -4.24209287 -5.68737466
501 1.75790713 -4.24209287
502 1.75790713 1.75790713
503 2.99214523 1.75790713
504 5.75790713 2.99214523
505 7.35966926 5.75790713
506 -0.44604485 7.35966926
507 9.08685354 -0.44604485
508 0.16616773 9.08685354
509 9.12680266 0.16616773
510 8.11244527 9.12680266
511 5.99132268 8.11244527
512 -1.02240671 5.99132268
513 -2.02240671 -1.02240671
514 1.97759329 -2.02240671
515 1.97759329 1.97759329
516 2.25117754 1.97759329
517 5.25117754 2.25117754
518 3.25117754 5.25117754
519 2.25117754 3.25117754
520 -1.02240671 2.25117754
> 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/fisher/rcomp/tmp/7fkzh1356108802.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/fisher/rcomp/tmp/8n3z81356108802.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/fisher/rcomp/tmp/9vuki1356108802.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/fisher/rcomp/tmp/10tdzh1356108802.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/115pnc1356108802.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$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$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/12lfpt1356108802.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, sqrt(mysum$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$sigma)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, sum(myerror*myerror))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/13dexn1356108803.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]-mysum$resid[i])
+ a<-table.element(a,mysum$resid[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/144qrs1356108803.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/fisher/rcomp/tmp/15l9tz1356108803.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/fisher/rcomp/tmp/16l11g1356108803.tab")
+ }
>
> try(system("convert tmp/15ykm1356108802.ps tmp/15ykm1356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/2cx8r1356108802.ps tmp/2cx8r1356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/3yp761356108802.ps tmp/3yp761356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/423j51356108802.ps tmp/423j51356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/5tgj71356108802.ps tmp/5tgj71356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/6ek7i1356108802.ps tmp/6ek7i1356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/7fkzh1356108802.ps tmp/7fkzh1356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/8n3z81356108802.ps tmp/8n3z81356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/9vuki1356108802.ps tmp/9vuki1356108802.png",intern=TRUE))
character(0)
> try(system("convert tmp/10tdzh1356108802.ps tmp/10tdzh1356108802.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
57.881 2.089 59.997