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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> x <- array(list(1418
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+ ,20
+ ,16
+ ,64
+ ,61
+ ,28904
+ ,27126
+ ,21
+ ,778
+ ,43410
+ ,292
+ ,63
+ ,7
+ ,1
+ ,3
+ ,3
+ ,2781
+ ,13
+ ,1
+ ,1141
+ ,104838
+ ,350
+ ,71
+ ,46
+ ,16
+ ,63
+ ,52
+ ,29236
+ ,42097
+ ,44
+ ,680
+ ,62215
+ ,186
+ ,26
+ ,24
+ ,10
+ ,40
+ ,25
+ ,19546
+ ,24451
+ ,26
+ ,1090
+ ,69304
+ ,326
+ ,48
+ ,40
+ ,19
+ ,69
+ ,40
+ ,22818
+ ,14335
+ ,21
+ ,616
+ ,53117
+ ,155
+ ,29
+ ,3
+ ,12
+ ,48
+ ,32
+ ,32689
+ ,5084
+ ,4
+ ,285
+ ,19764
+ ,75
+ ,19
+ ,10
+ ,2
+ ,8
+ ,4
+ ,5752
+ ,9927
+ ,10
+ ,1145
+ ,86680
+ ,361
+ ,45
+ ,37
+ ,14
+ ,52
+ ,49
+ ,22197
+ ,43527
+ ,43
+ ,733
+ ,84105
+ ,261
+ ,45
+ ,17
+ ,17
+ ,66
+ ,63
+ ,20055
+ ,27184
+ ,34
+ ,888
+ ,77945
+ ,299
+ ,67
+ ,28
+ ,19
+ ,76
+ ,67
+ ,25272
+ ,21610
+ ,32
+ ,849
+ ,89113
+ ,300
+ ,30
+ ,19
+ ,14
+ ,43
+ ,32
+ ,82206
+ ,20484
+ ,20
+ ,1182
+ ,91005
+ ,450
+ ,36
+ ,29
+ ,11
+ ,39
+ ,23
+ ,32073
+ ,20156
+ ,34
+ ,528
+ ,40248
+ ,183
+ ,34
+ ,8
+ ,4
+ ,14
+ ,7
+ ,5444
+ ,6012
+ ,6
+ ,642
+ ,64187
+ ,238
+ ,36
+ ,10
+ ,16
+ ,61
+ ,54
+ ,20154
+ ,18475
+ ,12
+ ,947
+ ,50857
+ ,165
+ ,34
+ ,15
+ ,20
+ ,71
+ ,37
+ ,36944
+ ,12645
+ ,24
+ ,819
+ ,56613
+ ,234
+ ,37
+ ,15
+ ,12
+ ,44
+ ,35
+ ,8019
+ ,11017
+ ,16
+ ,757
+ ,62792
+ ,176
+ ,46
+ ,28
+ ,15
+ ,60
+ ,51
+ ,30884
+ ,37623
+ ,72
+ ,894
+ ,72535
+ ,329
+ ,44
+ ,17
+ ,16
+ ,64
+ ,39
+ ,19540
+ ,35873
+ ,27)
+ ,dim=c(11
+ ,289)
+ ,dimnames=list(c('pageviews'
+ ,'time_in_rfc'
+ ,'compendium_views_info'
+ ,'compendium_views_pr'
+ ,'blogged_computations'
+ ,'compendiums_reviewed'
+ ,'feedback_messages_p1'
+ ,'feedback_messages_p120'
+ ,'totsize'
+ ,'totseconds'
+ ,'tothyperlinks')
+ ,1:289))
> y <- array(NA,dim=c(11,289),dimnames=list(c('pageviews','time_in_rfc','compendium_views_info','compendium_views_pr','blogged_computations','compendiums_reviewed','feedback_messages_p1','feedback_messages_p120','totsize','totseconds','tothyperlinks'),1:289))
> 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'
> par3 <- 'No Linear Trend'
> par2 <- 'Do not include Seasonal Dummies'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(lattice)
> library(lmtest)
Loading required package: zoo
Attaching package: 'zoo'
The following object(s) are masked from 'package:base':
as.Date, 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
pageviews time_in_rfc compendium_views_info compendium_views_pr
1 1418 210907 396 81
2 869 120982 297 55
3 1530 176508 559 50
4 2172 179321 967 125
5 901 123185 270 40
6 463 52746 143 37
7 3201 385534 1562 63
8 371 33170 109 44
9 1192 101645 371 88
10 1583 149061 656 66
11 1439 165446 511 57
12 1764 237213 655 74
13 1495 173326 465 49
14 1373 133131 525 52
15 2187 258873 885 88
16 1491 180083 497 36
17 4041 324799 1436 108
18 1706 230964 612 43
19 2152 236785 865 75
20 1036 135473 385 32
21 1882 202925 567 44
22 1929 215147 639 85
23 2242 344297 963 86
24 1220 153935 398 56
25 1289 132943 410 50
26 2515 174724 966 135
27 2147 174415 801 63
28 2352 225548 892 81
29 1638 223632 513 52
30 1222 124817 469 44
31 1812 221698 683 113
32 1677 210767 643 39
33 1579 170266 535 73
34 1731 260561 625 48
35 807 84853 264 33
36 2452 294424 992 59
37 829 101011 238 41
38 1940 215641 818 69
39 2662 325107 937 64
40 186 7176 70 1
41 1499 167542 507 59
42 865 106408 260 32
43 1793 96560 503 129
44 2527 265769 927 37
45 2747 269651 1269 31
46 1324 149112 537 65
47 2702 175824 910 107
48 1383 152871 532 74
49 1179 111665 345 54
50 2099 116408 918 76
51 4308 362301 1635 715
52 918 78800 330 57
53 1831 183167 557 66
54 3373 277965 1178 106
55 1713 150629 740 54
56 1438 168809 452 32
57 496 24188 218 20
58 2253 329267 764 71
59 744 65029 255 21
60 1161 101097 454 70
61 2352 218946 866 112
62 2144 244052 574 66
63 4691 341570 1276 190
64 1112 103597 379 66
65 2694 233328 825 165
66 1973 256462 798 56
67 1769 206161 663 61
68 3148 311473 1069 53
69 2474 235800 921 127
70 2084 177939 858 63
71 1954 207176 711 38
72 1226 196553 503 50
73 1389 174184 382 52
74 1496 143246 464 42
75 2269 187559 717 76
76 1833 187681 690 67
77 1268 119016 462 50
78 1943 182192 657 53
79 893 73566 385 39
80 1762 194979 577 50
81 1403 167488 619 77
82 1425 143756 479 57
83 1857 275541 817 73
84 1840 243199 752 34
85 1502 182999 430 39
86 1441 135649 451 46
87 1420 152299 537 63
88 1416 120221 519 35
89 2970 346485 1000 106
90 1317 145790 637 43
91 1644 193339 465 47
92 870 80953 437 31
93 1654 122774 711 162
94 1054 130585 299 57
95 937 112611 248 36
96 3004 286468 1162 263
97 2008 241066 714 78
98 2547 148446 905 63
99 1885 204713 649 54
100 1626 182079 512 63
101 1468 140344 472 77
102 2445 220516 905 79
103 1964 243060 786 110
104 1381 162765 489 56
105 1369 182613 479 56
106 1659 232138 617 43
107 2888 265318 925 111
108 1290 85574 351 71
109 2845 310839 1144 62
110 1982 225060 669 56
111 1904 232317 707 74
112 1391 144966 458 60
113 602 43287 214 43
114 1743 155754 599 68
115 1559 164709 572 53
116 2014 201940 897 87
117 2143 235454 819 46
118 2146 220801 720 105
119 874 99466 273 32
120 1590 92661 508 133
121 1590 133328 506 79
122 1210 61361 451 51
123 2072 125930 699 207
124 1281 100750 407 67
125 1401 224549 465 47
126 834 82316 245 34
127 1105 102010 370 66
128 1272 101523 316 76
129 1944 243511 603 65
130 391 22938 154 9
131 761 41566 229 42
132 1605 152474 577 45
133 530 61857 192 25
134 1988 99923 617 115
135 1386 132487 411 97
136 2395 317394 975 53
137 387 21054 146 2
138 1742 209641 705 52
139 620 22648 184 44
140 449 31414 200 22
141 800 46698 274 35
142 1684 131698 502 74
143 1050 91735 382 103
144 2699 244749 964 144
145 1606 184510 537 60
146 1502 79863 438 134
147 1204 128423 369 89
148 1138 97839 417 42
149 568 38214 276 52
150 1459 151101 514 98
151 2158 272458 822 99
152 1111 172494 389 52
153 1421 108043 466 29
154 2833 328107 1255 125
155 1955 250579 694 106
156 2922 351067 1024 95
157 1002 158015 400 40
158 1060 98866 397 140
159 956 85439 350 43
160 2186 229242 719 128
161 3604 351619 1277 142
162 1035 84207 356 73
163 1417 120445 457 72
164 3261 324598 1402 128
165 1587 131069 600 61
166 1424 204271 480 73
167 1701 165543 595 148
168 1249 141722 436 64
169 946 116048 230 45
170 1926 250047 651 58
171 3352 299775 1367 97
172 1641 195838 564 50
173 2035 173260 716 37
174 2312 254488 747 50
175 1369 104389 467 105
176 1577 136084 671 69
177 2201 199476 861 46
178 961 92499 319 57
179 1900 224330 612 52
180 1254 135781 433 98
181 1335 74408 434 61
182 1597 81240 503 89
183 207 14688 85 0
184 1645 181633 564 48
185 2429 271856 824 91
186 151 7199 74 0
187 474 46660 259 7
188 141 17547 69 3
189 1639 133368 535 54
190 872 95227 239 70
191 1318 152601 438 36
192 1018 98146 459 37
193 1383 79619 426 123
194 1314 59194 288 247
195 1335 139942 498 46
196 1403 118612 454 72
197 910 72880 376 41
198 616 65475 225 24
199 1407 99643 555 45
200 771 71965 252 33
201 766 77272 208 27
202 473 49289 130 36
203 1376 135131 481 87
204 1232 108446 389 90
205 1521 89746 565 114
206 572 44296 173 31
207 1059 77648 278 45
208 1544 181528 609 69
209 1230 134019 422 51
210 1206 124064 445 34
211 1205 92630 387 60
212 1255 121848 339 45
213 613 52915 181 54
214 721 81872 245 25
215 1109 58981 384 38
216 740 53515 212 52
217 1126 60812 399 67
218 728 56375 229 74
219 689 65490 224 38
220 592 80949 203 30
221 995 76302 333 26
222 1613 104011 384 67
223 2048 98104 636 132
224 705 67989 185 42
225 301 30989 93 35
226 1803 135458 581 118
227 799 73504 248 68
228 861 63123 304 43
229 1186 61254 344 76
230 1451 74914 407 64
231 628 31774 170 48
232 1161 81437 312 64
233 1463 87186 507 56
234 742 50090 224 71
235 979 65745 340 75
236 675 56653 168 39
237 1241 158399 443 42
238 676 46455 204 39
239 1049 73624 367 93
240 620 38395 210 38
241 1081 91899 335 60
242 1688 139526 364 71
243 736 52164 178 52
244 617 51567 206 27
245 812 70551 279 59
246 1051 84856 387 40
247 1656 102538 490 79
248 705 86678 238 44
249 945 85709 343 65
250 554 34662 232 10
251 1597 150580 530 124
252 982 99611 291 81
253 222 19349 67 15
254 1212 99373 397 92
255 1143 86230 467 42
256 435 30837 178 10
257 532 31706 175 24
258 882 89806 299 64
259 608 62088 154 45
260 459 40151 106 22
261 578 27634 189 56
262 826 76990 194 94
263 509 37460 135 19
264 717 54157 201 35
265 637 49862 207 32
266 857 84337 280 35
267 830 64175 260 48
268 652 59382 227 49
269 707 119308 239 48
270 954 76702 333 62
271 1461 103425 428 96
272 672 70344 230 45
273 778 43410 292 63
274 1141 104838 350 71
275 680 62215 186 26
276 1090 69304 326 48
277 616 53117 155 29
278 285 19764 75 19
279 1145 86680 361 45
280 733 84105 261 45
281 888 77945 299 67
282 849 89113 300 30
283 1182 91005 450 36
284 528 40248 183 34
285 642 64187 238 36
286 947 50857 165 34
287 819 56613 234 37
288 757 62792 176 46
289 894 72535 329 44
blogged_computations compendiums_reviewed feedback_messages_p1
1 79 30 115
2 58 28 109
3 60 38 146
4 108 30 116
5 49 22 68
6 0 26 101
7 121 25 96
8 1 18 67
9 20 11 44
10 43 26 100
11 69 25 93
12 78 38 140
13 86 44 166
14 44 30 99
15 104 40 139
16 63 34 130
17 158 47 181
18 102 30 116
19 77 31 116
20 82 23 88
21 115 36 139
22 101 36 135
23 80 30 108
24 50 25 89
25 83 39 156
26 123 34 129
27 73 31 118
28 81 31 118
29 105 33 125
30 47 25 95
31 105 33 126
32 94 35 135
33 44 42 154
34 114 43 165
35 38 30 113
36 107 33 127
37 30 13 52
38 71 32 121
39 84 36 136
40 0 0 0
41 59 28 108
42 33 14 46
43 42 17 54
44 96 32 124
45 106 30 115
46 56 35 128
47 57 20 80
48 59 28 97
49 39 28 104
50 34 39 59
51 76 34 125
52 20 26 82
53 91 39 149
54 115 39 149
55 85 33 122
56 76 28 118
57 8 4 12
58 79 39 144
59 21 18 67
60 30 14 52
61 76 29 108
62 101 44 166
63 94 21 80
64 27 16 60
65 92 28 107
66 123 35 127
67 75 28 107
68 128 38 146
69 105 23 84
70 55 36 141
71 56 32 123
72 41 29 111
73 72 25 98
74 67 27 105
75 75 36 135
76 114 28 107
77 118 23 85
78 77 40 155
79 22 23 88
80 66 40 155
81 69 28 104
82 105 34 132
83 116 33 127
84 88 28 108
85 73 34 129
86 99 30 116
87 62 33 122
88 53 22 85
89 118 38 147
90 30 26 99
91 100 35 87
92 49 8 28
93 24 24 90
94 67 29 109
95 46 20 78
96 57 29 111
97 75 45 158
98 135 37 141
99 68 33 122
100 124 33 124
101 33 25 93
102 98 32 124
103 58 29 112
104 68 28 108
105 81 28 99
106 131 31 117
107 110 52 199
108 37 21 78
109 130 24 91
110 93 41 158
111 118 33 126
112 39 32 122
113 13 19 71
114 74 20 75
115 81 31 115
116 109 31 119
117 151 32 124
118 51 18 72
119 28 23 91
120 40 17 45
121 56 20 78
122 27 12 39
123 37 17 68
124 83 30 119
125 54 31 117
126 27 10 39
127 28 13 50
128 59 22 88
129 133 42 155
130 12 1 0
131 0 9 36
132 106 32 123
133 23 11 32
134 44 25 99
135 71 36 136
136 116 31 117
137 4 0 0
138 62 24 88
139 12 13 39
140 18 8 25
141 14 13 52
142 60 19 75
143 7 18 71
144 98 33 124
145 64 40 151
146 29 22 71
147 32 38 145
148 25 24 87
149 16 8 27
150 48 35 131
151 100 43 162
152 46 43 165
153 45 14 54
154 129 41 159
155 130 38 147
156 136 45 170
157 59 31 119
158 25 13 49
159 32 28 104
160 63 31 120
161 95 40 150
162 14 30 112
163 36 16 59
164 113 37 136
165 47 30 107
166 92 35 130
167 70 32 115
168 19 27 107
169 50 20 75
170 41 18 71
171 91 31 120
172 111 31 116
173 41 21 79
174 120 39 150
175 135 41 156
176 27 13 51
177 87 32 118
178 25 18 71
179 131 39 144
180 45 14 47
181 29 7 28
182 58 17 68
183 4 0 0
184 47 30 110
185 109 37 147
186 7 0 0
187 12 5 15
188 0 1 4
189 37 16 64
190 37 32 111
191 46 24 85
192 15 17 68
193 42 11 40
194 7 24 80
195 54 22 88
196 54 12 48
197 14 19 76
198 16 13 51
199 33 17 67
200 32 15 59
201 21 16 61
202 15 24 76
203 38 15 60
204 22 17 68
205 28 18 71
206 10 20 76
207 31 16 62
208 32 16 61
209 32 18 67
210 43 22 88
211 27 8 30
212 37 17 64
213 20 18 68
214 32 16 64
215 0 23 91
216 5 22 88
217 26 13 52
218 10 13 49
219 27 16 62
220 11 16 61
221 29 20 76
222 25 22 88
223 55 17 66
224 23 18 71
225 5 17 68
226 43 12 48
227 23 7 25
228 34 17 68
229 36 14 41
230 35 23 90
231 0 17 66
232 37 14 54
233 28 15 59
234 16 17 60
235 26 21 77
236 38 18 68
237 23 18 72
238 22 17 67
239 30 17 64
240 16 16 63
241 18 15 59
242 28 21 84
243 32 16 64
244 21 14 56
245 23 15 54
246 29 17 67
247 50 15 58
248 12 15 59
249 21 10 40
250 18 6 22
251 27 22 83
252 41 21 81
253 13 1 2
254 12 18 72
255 21 17 61
256 8 4 15
257 26 10 32
258 27 16 62
259 13 16 58
260 16 9 36
261 2 16 59
262 42 17 68
263 5 7 21
264 37 15 55
265 17 14 54
266 38 14 55
267 37 18 72
268 29 12 41
269 32 16 61
270 35 21 67
271 17 19 76
272 20 16 64
273 7 1 3
274 46 16 63
275 24 10 40
276 40 19 69
277 3 12 48
278 10 2 8
279 37 14 52
280 17 17 66
281 28 19 76
282 19 14 43
283 29 11 39
284 8 4 14
285 10 16 61
286 15 20 71
287 15 12 44
288 28 15 60
289 17 16 64
feedback_messages_p120 totsize totseconds tothyperlinks
1 94 112285 146283 144
2 103 84786 98364 103
3 93 83123 86146 98
4 103 101193 96933 135
5 51 38361 79234 61
6 70 68504 42551 39
7 91 119182 195663 150
8 22 22807 6853 5
9 38 17140 21529 28
10 93 116174 95757 84
11 60 57635 85584 80
12 123 66198 143983 130
13 148 71701 75851 82
14 90 57793 59238 60
15 124 80444 93163 131
16 70 53855 96037 84
17 168 97668 151511 140
18 115 133824 136368 151
19 71 101481 112642 91
20 66 99645 94728 138
21 134 114789 105499 150
22 117 99052 121527 124
23 108 67654 127766 119
24 84 65553 98958 73
25 156 97500 77900 110
26 120 69112 85646 123
27 114 82753 98579 90
28 94 85323 130767 116
29 120 72654 131741 113
30 81 30727 53907 56
31 110 77873 178812 115
32 133 117478 146761 119
33 122 74007 82036 129
34 158 90183 163253 127
35 109 61542 27032 27
36 124 101494 171975 175
37 39 27570 65990 35
38 92 55813 86572 64
39 126 79215 159676 96
40 0 1423 1929 0
41 70 55461 85371 84
42 37 31081 58391 41
43 38 22996 31580 47
44 120 83122 136815 126
45 93 70106 120642 105
46 95 60578 69107 80
47 77 39992 50495 70
48 90 79892 108016 73
49 80 49810 46341 57
50 31 71570 78348 40
51 110 100708 79336 68
52 66 33032 56968 21
53 138 82875 93176 127
54 133 139077 161632 154
55 113 71595 87850 116
56 100 72260 127969 102
57 7 5950 15049 7
58 140 115762 155135 148
59 61 32551 25109 21
60 41 31701 45824 35
61 96 80670 102996 112
62 164 143558 160604 137
63 78 117105 158051 135
64 49 23789 44547 26
65 102 120733 162647 230
66 124 105195 174141 181
67 99 73107 60622 71
68 129 132068 179566 147
69 62 149193 184301 190
70 73 46821 75661 64
71 114 87011 96144 105
72 99 95260 129847 107
73 70 55183 117286 94
74 104 106671 71180 116
75 116 73511 109377 106
76 91 92945 85298 143
77 74 78664 73631 81
78 138 70054 86767 89
79 67 22618 23824 26
80 151 74011 93487 84
81 72 83737 82981 113
82 120 69094 73815 120
83 115 93133 94552 110
84 105 95536 132190 134
85 104 225920 128754 54
86 108 62133 66363 96
87 98 61370 67808 78
88 69 43836 61724 51
89 111 106117 131722 121
90 99 38692 68580 38
91 71 84651 106175 145
92 27 56622 55792 59
93 69 15986 25157 27
94 107 95364 76669 91
95 73 26706 57283 48
96 107 89691 105805 68
97 93 67267 129484 58
98 129 126846 72413 150
99 69 41140 87831 74
100 118 102860 96971 181
101 73 51715 71299 65
102 119 55801 77494 97
103 104 111813 120336 121
104 107 120293 93913 99
105 99 138599 136048 152
106 90 161647 181248 188
107 197 115929 146123 138
108 36 24266 32036 40
109 85 162901 186646 254
110 139 109825 102255 87
111 106 129838 168237 178
112 50 37510 64219 51
113 64 43750 19630 49
114 31 40652 76825 73
115 63 87771 115338 176
116 92 85872 109427 94
117 106 89275 118168 120
118 63 44418 84845 66
119 69 192565 153197 56
120 41 35232 29877 39
121 56 40909 63506 66
122 25 13294 22445 27
123 65 32387 47695 65
124 93 140867 68370 58
125 114 120662 146304 98
126 38 21233 38233 25
127 44 44332 42071 26
128 87 61056 50517 77
129 110 101338 103950 130
130 0 1168 5841 11
131 27 13497 2341 2
132 83 65567 84396 101
133 30 25162 24610 31
134 80 32334 35753 36
135 98 40735 55515 120
136 82 91413 209056 195
137 0 855 6622 4
138 60 97068 115814 89
139 28 44339 11609 24
140 9 14116 13155 39
141 33 10288 18274 14
142 59 65622 72875 78
143 49 16563 10112 15
144 115 76643 142775 106
145 140 110681 68847 83
146 49 29011 17659 24
147 120 92696 20112 37
148 66 94785 61023 77
149 21 8773 13983 16
150 124 83209 65176 56
151 152 93815 132432 132
152 139 86687 112494 144
153 38 34553 45109 40
154 144 105547 170875 153
155 120 103487 180759 143
156 160 213688 214921 220
157 114 71220 100226 79
158 39 23517 32043 50
159 78 56926 54454 39
160 119 91721 78876 95
161 141 115168 170745 169
162 101 111194 6940 12
163 56 51009 49025 63
164 133 135777 122037 134
165 83 51513 53782 69
166 116 74163 127748 119
167 90 51633 86839 119
168 36 75345 44830 75
169 50 33416 77395 63
170 61 83305 89324 55
171 97 98952 103300 103
172 98 102372 112283 197
173 78 37238 10901 16
174 117 103772 120691 140
175 148 123969 58106 89
176 41 27142 57140 40
177 105 135400 122422 125
178 55 21399 25899 21
179 132 130115 139296 167
180 44 24874 52678 32
181 21 34988 23853 36
182 50 45549 17306 13
183 0 6023 7953 5
184 73 64466 89455 96
185 86 54990 147866 151
186 0 1644 4245 6
187 13 6179 21509 13
188 4 3926 7670 3
189 57 32755 66675 57
190 48 34777 14336 23
191 46 73224 53608 61
192 48 27114 30059 21
193 32 20760 29668 43
194 68 37636 22097 20
195 87 65461 96841 82
196 43 30080 41907 90
197 67 24094 27080 25
198 46 69008 35885 60
199 46 54968 41247 61
200 56 46090 28313 85
201 48 27507 36845 43
202 44 10672 16548 25
203 60 34029 36134 41
204 65 46300 55764 26
205 55 24760 28910 38
206 38 18779 13339 12
207 52 21280 25319 29
208 60 40662 66956 49
209 54 28987 47487 46
210 86 22827 52785 41
211 24 18513 44683 31
212 52 30594 35619 41
213 49 24006 21920 26
214 61 27913 45608 23
215 61 42744 7721 14
216 81 12934 20634 16
217 43 22574 29788 25
218 40 41385 31931 21
219 40 18653 37754 32
220 56 18472 32505 9
221 68 30976 40557 35
222 79 63339 94238 42
223 47 25568 44197 68
224 57 33747 43228 32
225 41 4154 4103 6
226 29 19474 44144 68
227 3 35130 32868 33
228 60 39067 27640 84
229 30 13310 14063 46
230 79 65892 28990 30
231 47 4143 4694 0
232 40 28579 42648 36
233 48 51776 64329 47
234 36 21152 21928 20
235 42 38084 25836 50
236 49 27717 22779 30
237 57 32928 40820 30
238 12 11342 27530 34
239 40 19499 32378 33
240 43 16380 10824 34
241 33 36874 39613 37
242 77 48259 60865 83
243 43 16734 19787 32
244 45 28207 20107 30
245 47 30143 36605 43
246 43 41369 40961 41
247 45 45833 48231 51
248 50 29156 39725 19
249 35 35944 21455 37
250 7 36278 23430 33
251 71 45588 62991 41
252 67 45097 49363 54
253 0 3895 9604 14
254 62 28394 24552 25
255 54 18632 31493 25
256 4 2325 3439 8
257 25 25139 19555 26
258 40 27975 21228 20
259 38 14483 23177 11
260 19 13127 22094 14
261 17 5839 2342 3
262 67 24069 38798 40
263 14 3738 3255 5
264 30 18625 24261 38
265 54 36341 18511 32
266 35 24548 40798 41
267 59 21792 28893 46
268 24 26263 21425 47
269 58 23686 50276 37
270 42 49303 37643 51
271 46 25659 30377 49
272 61 28904 27126 21
273 3 2781 13 1
274 52 29236 42097 44
275 25 19546 24451 26
276 40 22818 14335 21
277 32 32689 5084 4
278 4 5752 9927 10
279 49 22197 43527 43
280 63 20055 27184 34
281 67 25272 21610 32
282 32 82206 20484 20
283 23 32073 20156 34
284 7 5444 6012 6
285 54 20154 18475 12
286 37 36944 12645 24
287 35 8019 11017 16
288 51 30884 37623 72
289 39 19540 35873 27
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) time_in_rfc compendium_views_info
1.195e+02 1.264e-03 1.850e+00
compendium_views_pr blogged_computations compendiums_reviewed
1.612e+00 1.217e+00 -4.987e+00
feedback_messages_p1 feedback_messages_p120 totsize
1.864e+00 -1.999e-02 2.081e-04
totseconds tothyperlinks
-5.580e-04 2.649e-01
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-594.68 -92.35 -17.83 75.95 1344.02
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.195e+02 2.814e+01 4.246 2.98e-05 ***
time_in_rfc 1.264e-03 4.832e-04 2.616 0.00938 **
compendium_views_info 1.850e+00 9.560e-02 19.349 < 2e-16 ***
compendium_views_pr 1.612e+00 2.513e-01 6.413 6.10e-10 ***
blogged_computations 1.217e+00 7.204e-01 1.690 0.09224 .
compendiums_reviewed -4.987e+00 5.726e+00 -0.871 0.38448
feedback_messages_p1 1.864e+00 1.741e+00 1.071 0.28516
feedback_messages_p120 -1.999e-02 8.446e-01 -0.024 0.98113
totsize 2.081e-04 5.125e-04 0.406 0.68500
totseconds -5.580e-04 6.821e-04 -0.818 0.41405
tothyperlinks 2.649e-01 5.575e-01 0.475 0.63509
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 179.1 on 278 degrees of freedom
Multiple R-squared: 0.9429, Adjusted R-squared: 0.9408
F-statistic: 458.9 on 10 and 278 DF, p-value: < 2.2e-16
> if (n > n25) {
+ kp3 <- k + 3
+ nmkm3 <- n - k - 3
+ gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
+ numgqtests <- 0
+ numsignificant1 <- 0
+ numsignificant5 <- 0
+ numsignificant10 <- 0
+ for (mypoint in kp3:nmkm3) {
+ j <- 0
+ numgqtests <- numgqtests + 1
+ for (myalt in c('greater', 'two.sided', 'less')) {
+ j <- j + 1
+ gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
+ }
+ if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
+ }
+ gqarr
+ }
[,1] [,2] [,3]
[1,] 0.1104966 2.209931e-01 8.895034e-01
[2,] 0.1410375 2.820751e-01 8.589625e-01
[3,] 0.1273157 2.546314e-01 8.726843e-01
[4,] 0.3677743 7.355485e-01 6.322257e-01
[5,] 0.5599303 8.801394e-01 4.400697e-01
[6,] 0.5323272 9.353457e-01 4.676728e-01
[7,] 0.5487421 9.025158e-01 4.512579e-01
[8,] 0.5366051 9.267899e-01 4.633949e-01
[9,] 0.4510291 9.020581e-01 5.489709e-01
[10,] 0.4087136 8.174272e-01 5.912864e-01
[11,] 0.3277835 6.555670e-01 6.722165e-01
[12,] 0.3142443 6.284885e-01 6.857557e-01
[13,] 0.2585127 5.170253e-01 7.414873e-01
[14,] 0.2693458 5.386915e-01 7.306542e-01
[15,] 0.2830831 5.661662e-01 7.169169e-01
[16,] 0.2712327 5.424655e-01 7.287673e-01
[17,] 0.2200424 4.400849e-01 7.799576e-01
[18,] 0.3306789 6.613577e-01 6.693211e-01
[19,] 0.2998765 5.997529e-01 7.001235e-01
[20,] 0.2927649 5.855298e-01 7.072351e-01
[21,] 0.3109951 6.219902e-01 6.890049e-01
[22,] 0.2854918 5.709836e-01 7.145082e-01
[23,] 0.2459535 4.919070e-01 7.540465e-01
[24,] 0.2170617 4.341233e-01 7.829383e-01
[25,] 0.2154932 4.309864e-01 7.845068e-01
[26,] 0.2837172 5.674344e-01 7.162828e-01
[27,] 0.2396977 4.793955e-01 7.603023e-01
[28,] 0.2013531 4.027062e-01 7.986469e-01
[29,] 0.1815025 3.630051e-01 8.184975e-01
[30,] 0.3337543 6.675087e-01 6.662457e-01
[31,] 0.3851528 7.703056e-01 6.148472e-01
[32,] 0.3836516 7.673032e-01 6.163484e-01
[33,] 0.3927238 7.854477e-01 6.072762e-01
[34,] 0.5673488 8.653023e-01 4.326512e-01
[35,] 0.5220932 9.558135e-01 4.779068e-01
[36,] 0.4837602 9.675204e-01 5.162398e-01
[37,] 0.5091440 9.817119e-01 4.908560e-01
[38,] 0.7283221 5.433559e-01 2.716779e-01
[39,] 0.6932610 6.134780e-01 3.067390e-01
[40,] 0.6755117 6.489767e-01 3.244883e-01
[41,] 0.8808640 2.382721e-01 1.191360e-01
[42,] 0.9006628 1.986743e-01 9.933716e-02
[43,] 0.8857198 2.285605e-01 1.142802e-01
[44,] 0.8684847 2.630305e-01 1.315153e-01
[45,] 0.8639698 2.720603e-01 1.360302e-01
[46,] 0.8389281 3.221438e-01 1.610719e-01
[47,] 0.8138527 3.722946e-01 1.861473e-01
[48,] 0.7951524 4.096952e-01 2.048476e-01
[49,] 0.8811365 2.377269e-01 1.188635e-01
[50,] 1.0000000 1.986683e-10 9.933417e-11
[51,] 1.0000000 3.711154e-10 1.855577e-10
[52,] 1.0000000 1.926756e-10 9.633780e-11
[53,] 1.0000000 1.287199e-10 6.435997e-11
[54,] 1.0000000 2.161715e-10 1.080857e-10
[55,] 1.0000000 4.144731e-11 2.072366e-11
[56,] 1.0000000 7.056773e-11 3.528387e-11
[57,] 1.0000000 1.203706e-10 6.018531e-11
[58,] 1.0000000 2.025365e-10 1.012682e-10
[59,] 1.0000000 1.423049e-10 7.115245e-11
[60,] 1.0000000 1.699735e-10 8.498676e-11
[61,] 1.0000000 2.545604e-10 1.272802e-10
[62,] 1.0000000 6.371928e-11 3.185964e-11
[63,] 1.0000000 9.115108e-11 4.557554e-11
[64,] 1.0000000 1.359941e-10 6.799703e-11
[65,] 1.0000000 1.733734e-10 8.668669e-11
[66,] 1.0000000 2.240582e-10 1.120291e-10
[67,] 1.0000000 3.259493e-10 1.629747e-10
[68,] 1.0000000 9.354169e-11 4.677085e-11
[69,] 1.0000000 1.660450e-10 8.302248e-11
[70,] 1.0000000 1.030659e-11 5.153297e-12
[71,] 1.0000000 1.070380e-11 5.351899e-12
[72,] 1.0000000 1.428935e-11 7.144674e-12
[73,] 1.0000000 2.337813e-11 1.168906e-11
[74,] 1.0000000 3.523967e-11 1.761983e-11
[75,] 1.0000000 6.203278e-11 3.101639e-11
[76,] 1.0000000 5.404181e-11 2.702091e-11
[77,] 1.0000000 2.174891e-11 1.087446e-11
[78,] 1.0000000 1.105233e-11 5.526165e-12
[79,] 1.0000000 5.857353e-12 2.928676e-12
[80,] 1.0000000 2.127021e-12 1.063510e-12
[81,] 1.0000000 4.010938e-12 2.005469e-12
[82,] 1.0000000 6.136939e-12 3.068469e-12
[83,] 1.0000000 3.546278e-12 1.773139e-12
[84,] 1.0000000 6.439136e-12 3.219568e-12
[85,] 1.0000000 5.108403e-12 2.554202e-12
[86,] 1.0000000 7.267881e-12 3.633941e-12
[87,] 1.0000000 1.299870e-11 6.499350e-12
[88,] 1.0000000 1.858168e-11 9.290838e-12
[89,] 1.0000000 3.021845e-11 1.510923e-11
[90,] 1.0000000 1.852521e-11 9.262603e-12
[91,] 1.0000000 3.051216e-11 1.525608e-11
[92,] 1.0000000 4.723738e-11 2.361869e-11
[93,] 1.0000000 4.924260e-11 2.462130e-11
[94,] 1.0000000 1.000064e-11 5.000318e-12
[95,] 1.0000000 6.313658e-12 3.156829e-12
[96,] 1.0000000 1.022354e-11 5.111768e-12
[97,] 1.0000000 1.637676e-11 8.188378e-12
[98,] 1.0000000 2.205511e-11 1.102755e-11
[99,] 1.0000000 3.753229e-11 1.876614e-11
[100,] 1.0000000 6.082306e-11 3.041153e-11
[101,] 1.0000000 9.008190e-11 4.504095e-11
[102,] 1.0000000 1.499761e-10 7.498806e-11
[103,] 1.0000000 2.612226e-11 1.306113e-11
[104,] 1.0000000 4.039068e-11 2.019534e-11
[105,] 1.0000000 4.738130e-11 2.369065e-11
[106,] 1.0000000 8.478535e-11 4.239267e-11
[107,] 1.0000000 8.862275e-11 4.431138e-11
[108,] 1.0000000 1.122758e-10 5.613790e-11
[109,] 1.0000000 1.745518e-10 8.727591e-11
[110,] 1.0000000 2.474178e-10 1.237089e-10
[111,] 1.0000000 4.010473e-10 2.005236e-10
[112,] 1.0000000 6.849792e-10 3.424896e-10
[113,] 1.0000000 1.065453e-09 5.327264e-10
[114,] 1.0000000 1.807220e-09 9.036098e-10
[115,] 1.0000000 1.712446e-09 8.562231e-10
[116,] 1.0000000 2.656484e-09 1.328242e-09
[117,] 1.0000000 4.424096e-09 2.212048e-09
[118,] 1.0000000 6.686089e-09 3.343045e-09
[119,] 1.0000000 1.108285e-08 5.541425e-09
[120,] 1.0000000 1.756071e-08 8.780354e-09
[121,] 1.0000000 7.111565e-09 3.555783e-09
[122,] 1.0000000 1.185909e-08 5.929544e-09
[123,] 1.0000000 1.256243e-08 6.281215e-09
[124,] 1.0000000 2.085094e-08 1.042547e-08
[125,] 1.0000000 2.408126e-08 1.204063e-08
[126,] 1.0000000 3.822247e-08 1.911123e-08
[127,] 1.0000000 4.637215e-08 2.318607e-08
[128,] 1.0000000 7.503511e-08 3.751756e-08
[129,] 1.0000000 5.342098e-08 2.671049e-08
[130,] 1.0000000 5.961257e-08 2.980629e-08
[131,] 1.0000000 8.443720e-08 4.221860e-08
[132,] 0.9999999 1.338164e-07 6.690818e-08
[133,] 0.9999999 1.195813e-07 5.979066e-08
[134,] 0.9999999 1.865187e-07 9.325936e-08
[135,] 0.9999999 2.979297e-07 1.489649e-07
[136,] 0.9999999 2.228283e-07 1.114141e-07
[137,] 0.9999998 3.302268e-07 1.651134e-07
[138,] 0.9999998 3.585011e-07 1.792506e-07
[139,] 0.9999998 3.789317e-07 1.894659e-07
[140,] 0.9999998 3.240757e-07 1.620378e-07
[141,] 1.0000000 9.028324e-09 4.514162e-09
[142,] 1.0000000 6.589968e-09 3.294984e-09
[143,] 1.0000000 1.091961e-08 5.459804e-09
[144,] 1.0000000 5.357354e-09 2.678677e-09
[145,] 1.0000000 2.030655e-09 1.015328e-09
[146,] 1.0000000 3.181484e-09 1.590742e-09
[147,] 1.0000000 5.167728e-09 2.583864e-09
[148,] 1.0000000 3.653967e-09 1.826984e-09
[149,] 1.0000000 5.887299e-09 2.943650e-09
[150,] 1.0000000 8.052971e-09 4.026485e-09
[151,] 1.0000000 1.219992e-09 6.099959e-10
[152,] 1.0000000 2.148884e-09 1.074442e-09
[153,] 1.0000000 2.198327e-09 1.099164e-09
[154,] 1.0000000 1.531985e-09 7.659923e-10
[155,] 1.0000000 1.660050e-09 8.300251e-10
[156,] 1.0000000 2.518146e-09 1.259073e-09
[157,] 1.0000000 4.068150e-09 2.034075e-09
[158,] 1.0000000 4.097095e-09 2.048548e-09
[159,] 1.0000000 5.289029e-09 2.644514e-09
[160,] 1.0000000 2.052217e-09 1.026108e-09
[161,] 1.0000000 2.385416e-09 1.192708e-09
[162,] 1.0000000 6.055665e-10 3.027833e-10
[163,] 1.0000000 6.559333e-10 3.279666e-10
[164,] 1.0000000 7.095716e-10 3.547858e-10
[165,] 1.0000000 1.269009e-09 6.345047e-10
[166,] 1.0000000 1.337894e-09 6.689468e-10
[167,] 1.0000000 1.905008e-09 9.525040e-10
[168,] 1.0000000 2.171499e-09 1.085749e-09
[169,] 1.0000000 3.029891e-09 1.514945e-09
[170,] 1.0000000 5.284160e-09 2.642080e-09
[171,] 1.0000000 9.157148e-09 4.578574e-09
[172,] 1.0000000 7.845505e-09 3.922752e-09
[173,] 1.0000000 1.328919e-08 6.644595e-09
[174,] 1.0000000 1.455663e-08 7.278315e-09
[175,] 1.0000000 2.416396e-08 1.208198e-08
[176,] 1.0000000 2.321516e-08 1.160758e-08
[177,] 1.0000000 3.542272e-08 1.771136e-08
[178,] 1.0000000 5.909283e-08 2.954641e-08
[179,] 1.0000000 4.604267e-08 2.302134e-08
[180,] 1.0000000 7.528390e-08 3.764195e-08
[181,] 0.9999999 1.077262e-07 5.386312e-08
[182,] 1.0000000 7.351597e-08 3.675799e-08
[183,] 0.9999999 1.251707e-07 6.258534e-08
[184,] 0.9999999 1.543904e-07 7.719518e-08
[185,] 0.9999999 1.719451e-07 8.597253e-08
[186,] 0.9999999 2.062701e-07 1.031350e-07
[187,] 0.9999999 2.817200e-07 1.408600e-07
[188,] 0.9999998 4.529300e-07 2.264650e-07
[189,] 0.9999996 7.729316e-07 3.864658e-07
[190,] 0.9999994 1.215229e-06 6.076143e-07
[191,] 0.9999990 1.959033e-06 9.795167e-07
[192,] 0.9999988 2.362973e-06 1.181487e-06
[193,] 0.9999980 3.947090e-06 1.973545e-06
[194,] 0.9999985 2.900734e-06 1.450367e-06
[195,] 0.9999989 2.289176e-06 1.144588e-06
[196,] 0.9999981 3.743496e-06 1.871748e-06
[197,] 0.9999974 5.190323e-06 2.595162e-06
[198,] 0.9999963 7.405645e-06 3.702822e-06
[199,] 0.9999975 5.089018e-06 2.544509e-06
[200,] 0.9999961 7.866169e-06 3.933084e-06
[201,] 0.9999941 1.181329e-05 5.906643e-06
[202,] 0.9999907 1.858523e-05 9.292613e-06
[203,] 0.9999851 2.989558e-05 1.494779e-05
[204,] 0.9999764 4.715450e-05 2.357725e-05
[205,] 0.9999693 6.147584e-05 3.073792e-05
[206,] 0.9999556 8.870611e-05 4.435305e-05
[207,] 0.9999335 1.330751e-04 6.653753e-05
[208,] 0.9998953 2.093456e-04 1.046728e-04
[209,] 0.9999855 2.897179e-05 1.448589e-05
[210,] 0.9999870 2.595819e-05 1.297910e-05
[211,] 0.9999784 4.326535e-05 2.163267e-05
[212,] 0.9999704 5.929837e-05 2.964918e-05
[213,] 0.9999565 8.694929e-05 4.347464e-05
[214,] 0.9999324 1.352693e-04 6.763463e-05
[215,] 0.9999450 1.099235e-04 5.496175e-05
[216,] 0.9999519 9.622257e-05 4.811129e-05
[217,] 0.9999755 4.907962e-05 2.453981e-05
[218,] 0.9999691 6.180704e-05 3.090352e-05
[219,] 0.9999765 4.696233e-05 2.348116e-05
[220,] 0.9999786 4.274539e-05 2.137269e-05
[221,] 0.9999627 7.459777e-05 3.729889e-05
[222,] 0.9999631 7.381096e-05 3.690548e-05
[223,] 0.9999373 1.254564e-04 6.272819e-05
[224,] 0.9999283 1.433651e-04 7.168255e-05
[225,] 0.9999043 1.913065e-04 9.565326e-05
[226,] 0.9998537 2.926655e-04 1.463327e-04
[227,] 0.9998025 3.950552e-04 1.975276e-04
[228,] 0.9996692 6.616341e-04 3.308171e-04
[229,] 0.9999971 5.770292e-06 2.885146e-06
[230,] 0.9999942 1.160960e-05 5.804802e-06
[231,] 0.9999891 2.179439e-05 1.089720e-05
[232,] 0.9999796 4.078485e-05 2.039242e-05
[233,] 0.9999666 6.684154e-05 3.342077e-05
[234,] 0.9999963 7.319417e-06 3.659708e-06
[235,] 0.9999924 1.521345e-05 7.606723e-06
[236,] 0.9999869 2.614594e-05 1.307297e-05
[237,] 0.9999770 4.595719e-05 2.297859e-05
[238,] 0.9999656 6.888021e-05 3.444011e-05
[239,] 0.9999316 1.367969e-04 6.839843e-05
[240,] 0.9998681 2.637703e-04 1.318851e-04
[241,] 0.9997569 4.861051e-04 2.430526e-04
[242,] 0.9995322 9.356907e-04 4.678454e-04
[243,] 0.9992997 1.400614e-03 7.003072e-04
[244,] 0.9986774 2.645264e-03 1.322632e-03
[245,] 0.9984062 3.187678e-03 1.593839e-03
[246,] 0.9970894 5.821222e-03 2.910611e-03
[247,] 0.9948766 1.024683e-02 5.123417e-03
[248,] 0.9969234 6.153223e-03 3.076611e-03
[249,] 0.9954139 9.172215e-03 4.586107e-03
[250,] 0.9923648 1.527045e-02 7.635227e-03
[251,] 0.9875677 2.486452e-02 1.243226e-02
[252,] 0.9780946 4.381084e-02 2.190542e-02
[253,] 0.9652838 6.943238e-02 3.471619e-02
[254,] 0.9462546 1.074909e-01 5.374544e-02
[255,] 0.9656826 6.863490e-02 3.431745e-02
[256,] 0.9508718 9.825632e-02 4.912816e-02
[257,] 0.9831372 3.372551e-02 1.686275e-02
[258,] 0.9660882 6.782360e-02 3.391180e-02
[259,] 0.9319767 1.360466e-01 6.802330e-02
[260,] 0.8891883 2.216234e-01 1.108117e-01
[261,] 0.8012676 3.974648e-01 1.987324e-01
[262,] 0.6540443 6.919115e-01 3.459557e-01
> postscript(file="/var/fisher/rcomp/tmp/150q01355434873.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$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/2bwx51355434873.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$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/3o3vp1355434873.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/4nf2f1355434873.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/5kl4c1355434873.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 = 289
Frequency = 1
1 2 3 4 5
29.89680087 -163.59692548 -76.25268655 -363.10568715 6.28096365
6 7 8 9 10
-105.39449048 -551.79617950 -101.12593542 66.20578365 -144.96806083
11 12 13 14 15
-43.63991998 -118.05314830 31.21731667 -51.28301505 -221.80806034
16 17 18 19 20
38.56372192 415.76548871 -87.06096291 -124.05592383 -170.74778310
21 22 23 24 25
164.61426552 40.16418142 -353.89403103 1.27380576 -37.73155458
26 27 28 29 30
-47.20884833 85.83032764 29.25439589 37.67056955 -92.88673947
31 32 33 34 35
-176.06937912 -124.13642303 4.44330430 -141.40785122 -71.27927800
36 37 38 39 40
-141.18157533 29.46387318 -207.22088665 168.61904164 -72.87228618
41 42 43 44 45
16.52662332 38.37566722 347.25072540 136.83149694 -277.67037259
46 47 48 49 50
-207.64239921 388.60083516 -119.97281924 93.42932904 73.78423823
51 52 53 54 55
-594.68330623 -30.26776893 153.09780218 352.14406014 -213.41915731
56 57 58 59 60
75.94595716 -96.25686273 45.57958136 -21.03338795 -92.01013079
61 62 63 64 65
37.05701620 361.61699692 1344.01533560 3.19419509 322.50788534
66 67 68 69 70
-219.15798211 -85.14415187 369.84845906 1.13112897 -82.33865044
71 72 73 74 75
68.32089590 -238.92124371 143.70438508 115.67585584 320.19651842
76 77 78 79 80
-114.45165761 -119.75341421 122.30761104 -167.58830894 95.85386093
81 82 83 84 85
-335.15826960 -61.01667857 -446.55060581 -181.06369354 145.73515580
86 87 88 89 90
55.34478929 -118.83876352 28.03993600 185.33387497 -303.66557525
91 92 93 94 95
239.50475926 -277.80566380 -269.32680846 -14.67504960 71.88188087
96 97 98 99 100
-158.09954777 20.65591723 198.50235739 95.79609323 -2.67603829
101 102 103 104 105
98.30836672 62.85447118 -214.80666435 -80.21857559 -92.35235205
106 107 108 109 110
-168.01513443 322.43573848 215.87065084 -86.98525529 60.91661051
111 112 113 114 115
-128.33400893 44.55575911 -100.64422564 94.56657781 -69.82907444
116 117 118 119 120
-339.99754357 -100.89651931 161.68030524 15.13390985 151.38039564
121 122 123 124 125
135.39585461 53.89541762 83.65278006 -4.61720773 -34.64379998
126 127 128 129 130
57.81855603 11.55571969 187.83115236 59.80751362 -66.36453109
131 132 133 134 135
73.95882290 -37.45162666 -95.03733133 307.39829755 14.69171425
136 137 138 139 140
-171.73710929 -34.79860527 -128.16782123 29.58559852 -149.97110263
141 142 143 144 145
14.09463919 239.61730198 -109.98177680 106.93380452 -0.48353932
146 147 148 149 150
195.88856867 -39.07247206 -21.89171677 -221.88780808 -81.62438678
151 152 153 154 155
-172.80696037 -169.70003193 178.73097238 -437.38503520 -134.74980470
156 157 158 159 160
73.79214278 -238.21965337 -200.88441598 -71.64254670 96.79039968
161 162 163 164 165
282.59922845 -63.76403276 111.03018983 -268.01760679 -10.73902051
166 167 168 169 170
-112.39500895 -98.90997586 -57.05457772 101.44396203 119.40457097
171 172 173 174 175
0.45067722 -55.53247389 215.63869598 188.25417871 -180.17957373
176 177 178 179 180
-113.55204823 5.40874321 -24.84993763 56.71478374 -51.97627456
181 182 183 184 185
164.67344274 186.09797615 -91.29190464 75.14522380 105.57721018
186 187 188 189 190
-122.55109946 -204.93856765 -132.85952400 206.14304209 -19.53770827
191 192 193 194 195
42.06237228 -187.94692948 107.28202769 151.44238765 -56.34364369
196 197 198 199 200
76.52117269 -122.36230799 -100.16582292 -21.53917262 -48.10930633
201 202 203 204 205
65.47896641 -46.27031455 -24.14332043 57.93600607 -15.44406481
206 207 208 209 210
-26.45687240 184.12894892 -98.42745231 13.57249013 -39.37595079
211 212 213 214 215
120.31477434 206.00465263 -55.23902181 -59.17211053 81.37862810
216 217 218 219 220
22.67718765 26.00939770 -39.86338357 -48.01458086 -87.96114960
221 222 223 224 225
52.21565858 488.82174542 312.37712708 28.83450586 -133.52494238
226 227 228 229 230
168.56038488 -19.08587316 -67.04258633 173.33742243 281.22518499
231 232 233 234 235
40.95688555 191.51941196 149.58425832 -12.88109822 -49.77304663
236 237 238 239 240
26.99750720 -29.19814137 -5.08975899 -57.28693376 -60.36432890
241 242 243 244 245
77.16212825 521.90875213 58.97492157 -54.08015067 -58.00343153
246 247 248 249 250
-27.25677854 283.77516860 -72.94769495 -76.93131152 -90.63952589
251 252 253 254 255
45.27324730 -23.22625175 -83.78021211 27.60167212 -63.36462173
256 257 258 259 260
-87.19796946 -32.09382940 -74.37228689 16.23829297 21.78533103
261 262 263 264 265
-49.27826544 13.10222606 51.48661329 28.27204725 -36.16903697
266 267 268 269 270
-14.91430371 -17.82581426 -98.78961121 -141.16023858 -43.04548120
271 272 273 274 275
196.27796433 -93.47114167 -47.92774506 40.28219379 45.18093852
276 277 278 279 280
118.44276851 58.23228362 -44.16439501 112.75136398 -103.82826083
281 282 283 284 285
-72.43252949 -30.22288612 -0.05604489 -50.78493517 -98.97742086
286 287 288 289
346.08184338 95.96999499 83.82039405 -47.30008121
> postscript(file="/var/fisher/rcomp/tmp/6r8381355434873.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 = 289
Frequency = 1
lag(myerror, k = 1) myerror
0 29.89680087 NA
1 -163.59692548 29.89680087
2 -76.25268655 -163.59692548
3 -363.10568715 -76.25268655
4 6.28096365 -363.10568715
5 -105.39449048 6.28096365
6 -551.79617950 -105.39449048
7 -101.12593542 -551.79617950
8 66.20578365 -101.12593542
9 -144.96806083 66.20578365
10 -43.63991998 -144.96806083
11 -118.05314830 -43.63991998
12 31.21731667 -118.05314830
13 -51.28301505 31.21731667
14 -221.80806034 -51.28301505
15 38.56372192 -221.80806034
16 415.76548871 38.56372192
17 -87.06096291 415.76548871
18 -124.05592383 -87.06096291
19 -170.74778310 -124.05592383
20 164.61426552 -170.74778310
21 40.16418142 164.61426552
22 -353.89403103 40.16418142
23 1.27380576 -353.89403103
24 -37.73155458 1.27380576
25 -47.20884833 -37.73155458
26 85.83032764 -47.20884833
27 29.25439589 85.83032764
28 37.67056955 29.25439589
29 -92.88673947 37.67056955
30 -176.06937912 -92.88673947
31 -124.13642303 -176.06937912
32 4.44330430 -124.13642303
33 -141.40785122 4.44330430
34 -71.27927800 -141.40785122
35 -141.18157533 -71.27927800
36 29.46387318 -141.18157533
37 -207.22088665 29.46387318
38 168.61904164 -207.22088665
39 -72.87228618 168.61904164
40 16.52662332 -72.87228618
41 38.37566722 16.52662332
42 347.25072540 38.37566722
43 136.83149694 347.25072540
44 -277.67037259 136.83149694
45 -207.64239921 -277.67037259
46 388.60083516 -207.64239921
47 -119.97281924 388.60083516
48 93.42932904 -119.97281924
49 73.78423823 93.42932904
50 -594.68330623 73.78423823
51 -30.26776893 -594.68330623
52 153.09780218 -30.26776893
53 352.14406014 153.09780218
54 -213.41915731 352.14406014
55 75.94595716 -213.41915731
56 -96.25686273 75.94595716
57 45.57958136 -96.25686273
58 -21.03338795 45.57958136
59 -92.01013079 -21.03338795
60 37.05701620 -92.01013079
61 361.61699692 37.05701620
62 1344.01533560 361.61699692
63 3.19419509 1344.01533560
64 322.50788534 3.19419509
65 -219.15798211 322.50788534
66 -85.14415187 -219.15798211
67 369.84845906 -85.14415187
68 1.13112897 369.84845906
69 -82.33865044 1.13112897
70 68.32089590 -82.33865044
71 -238.92124371 68.32089590
72 143.70438508 -238.92124371
73 115.67585584 143.70438508
74 320.19651842 115.67585584
75 -114.45165761 320.19651842
76 -119.75341421 -114.45165761
77 122.30761104 -119.75341421
78 -167.58830894 122.30761104
79 95.85386093 -167.58830894
80 -335.15826960 95.85386093
81 -61.01667857 -335.15826960
82 -446.55060581 -61.01667857
83 -181.06369354 -446.55060581
84 145.73515580 -181.06369354
85 55.34478929 145.73515580
86 -118.83876352 55.34478929
87 28.03993600 -118.83876352
88 185.33387497 28.03993600
89 -303.66557525 185.33387497
90 239.50475926 -303.66557525
91 -277.80566380 239.50475926
92 -269.32680846 -277.80566380
93 -14.67504960 -269.32680846
94 71.88188087 -14.67504960
95 -158.09954777 71.88188087
96 20.65591723 -158.09954777
97 198.50235739 20.65591723
98 95.79609323 198.50235739
99 -2.67603829 95.79609323
100 98.30836672 -2.67603829
101 62.85447118 98.30836672
102 -214.80666435 62.85447118
103 -80.21857559 -214.80666435
104 -92.35235205 -80.21857559
105 -168.01513443 -92.35235205
106 322.43573848 -168.01513443
107 215.87065084 322.43573848
108 -86.98525529 215.87065084
109 60.91661051 -86.98525529
110 -128.33400893 60.91661051
111 44.55575911 -128.33400893
112 -100.64422564 44.55575911
113 94.56657781 -100.64422564
114 -69.82907444 94.56657781
115 -339.99754357 -69.82907444
116 -100.89651931 -339.99754357
117 161.68030524 -100.89651931
118 15.13390985 161.68030524
119 151.38039564 15.13390985
120 135.39585461 151.38039564
121 53.89541762 135.39585461
122 83.65278006 53.89541762
123 -4.61720773 83.65278006
124 -34.64379998 -4.61720773
125 57.81855603 -34.64379998
126 11.55571969 57.81855603
127 187.83115236 11.55571969
128 59.80751362 187.83115236
129 -66.36453109 59.80751362
130 73.95882290 -66.36453109
131 -37.45162666 73.95882290
132 -95.03733133 -37.45162666
133 307.39829755 -95.03733133
134 14.69171425 307.39829755
135 -171.73710929 14.69171425
136 -34.79860527 -171.73710929
137 -128.16782123 -34.79860527
138 29.58559852 -128.16782123
139 -149.97110263 29.58559852
140 14.09463919 -149.97110263
141 239.61730198 14.09463919
142 -109.98177680 239.61730198
143 106.93380452 -109.98177680
144 -0.48353932 106.93380452
145 195.88856867 -0.48353932
146 -39.07247206 195.88856867
147 -21.89171677 -39.07247206
148 -221.88780808 -21.89171677
149 -81.62438678 -221.88780808
150 -172.80696037 -81.62438678
151 -169.70003193 -172.80696037
152 178.73097238 -169.70003193
153 -437.38503520 178.73097238
154 -134.74980470 -437.38503520
155 73.79214278 -134.74980470
156 -238.21965337 73.79214278
157 -200.88441598 -238.21965337
158 -71.64254670 -200.88441598
159 96.79039968 -71.64254670
160 282.59922845 96.79039968
161 -63.76403276 282.59922845
162 111.03018983 -63.76403276
163 -268.01760679 111.03018983
164 -10.73902051 -268.01760679
165 -112.39500895 -10.73902051
166 -98.90997586 -112.39500895
167 -57.05457772 -98.90997586
168 101.44396203 -57.05457772
169 119.40457097 101.44396203
170 0.45067722 119.40457097
171 -55.53247389 0.45067722
172 215.63869598 -55.53247389
173 188.25417871 215.63869598
174 -180.17957373 188.25417871
175 -113.55204823 -180.17957373
176 5.40874321 -113.55204823
177 -24.84993763 5.40874321
178 56.71478374 -24.84993763
179 -51.97627456 56.71478374
180 164.67344274 -51.97627456
181 186.09797615 164.67344274
182 -91.29190464 186.09797615
183 75.14522380 -91.29190464
184 105.57721018 75.14522380
185 -122.55109946 105.57721018
186 -204.93856765 -122.55109946
187 -132.85952400 -204.93856765
188 206.14304209 -132.85952400
189 -19.53770827 206.14304209
190 42.06237228 -19.53770827
191 -187.94692948 42.06237228
192 107.28202769 -187.94692948
193 151.44238765 107.28202769
194 -56.34364369 151.44238765
195 76.52117269 -56.34364369
196 -122.36230799 76.52117269
197 -100.16582292 -122.36230799
198 -21.53917262 -100.16582292
199 -48.10930633 -21.53917262
200 65.47896641 -48.10930633
201 -46.27031455 65.47896641
202 -24.14332043 -46.27031455
203 57.93600607 -24.14332043
204 -15.44406481 57.93600607
205 -26.45687240 -15.44406481
206 184.12894892 -26.45687240
207 -98.42745231 184.12894892
208 13.57249013 -98.42745231
209 -39.37595079 13.57249013
210 120.31477434 -39.37595079
211 206.00465263 120.31477434
212 -55.23902181 206.00465263
213 -59.17211053 -55.23902181
214 81.37862810 -59.17211053
215 22.67718765 81.37862810
216 26.00939770 22.67718765
217 -39.86338357 26.00939770
218 -48.01458086 -39.86338357
219 -87.96114960 -48.01458086
220 52.21565858 -87.96114960
221 488.82174542 52.21565858
222 312.37712708 488.82174542
223 28.83450586 312.37712708
224 -133.52494238 28.83450586
225 168.56038488 -133.52494238
226 -19.08587316 168.56038488
227 -67.04258633 -19.08587316
228 173.33742243 -67.04258633
229 281.22518499 173.33742243
230 40.95688555 281.22518499
231 191.51941196 40.95688555
232 149.58425832 191.51941196
233 -12.88109822 149.58425832
234 -49.77304663 -12.88109822
235 26.99750720 -49.77304663
236 -29.19814137 26.99750720
237 -5.08975899 -29.19814137
238 -57.28693376 -5.08975899
239 -60.36432890 -57.28693376
240 77.16212825 -60.36432890
241 521.90875213 77.16212825
242 58.97492157 521.90875213
243 -54.08015067 58.97492157
244 -58.00343153 -54.08015067
245 -27.25677854 -58.00343153
246 283.77516860 -27.25677854
247 -72.94769495 283.77516860
248 -76.93131152 -72.94769495
249 -90.63952589 -76.93131152
250 45.27324730 -90.63952589
251 -23.22625175 45.27324730
252 -83.78021211 -23.22625175
253 27.60167212 -83.78021211
254 -63.36462173 27.60167212
255 -87.19796946 -63.36462173
256 -32.09382940 -87.19796946
257 -74.37228689 -32.09382940
258 16.23829297 -74.37228689
259 21.78533103 16.23829297
260 -49.27826544 21.78533103
261 13.10222606 -49.27826544
262 51.48661329 13.10222606
263 28.27204725 51.48661329
264 -36.16903697 28.27204725
265 -14.91430371 -36.16903697
266 -17.82581426 -14.91430371
267 -98.78961121 -17.82581426
268 -141.16023858 -98.78961121
269 -43.04548120 -141.16023858
270 196.27796433 -43.04548120
271 -93.47114167 196.27796433
272 -47.92774506 -93.47114167
273 40.28219379 -47.92774506
274 45.18093852 40.28219379
275 118.44276851 45.18093852
276 58.23228362 118.44276851
277 -44.16439501 58.23228362
278 112.75136398 -44.16439501
279 -103.82826083 112.75136398
280 -72.43252949 -103.82826083
281 -30.22288612 -72.43252949
282 -0.05604489 -30.22288612
283 -50.78493517 -0.05604489
284 -98.97742086 -50.78493517
285 346.08184338 -98.97742086
286 95.96999499 346.08184338
287 83.82039405 95.96999499
288 -47.30008121 83.82039405
289 NA -47.30008121
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -163.59692548 29.89680087
[2,] -76.25268655 -163.59692548
[3,] -363.10568715 -76.25268655
[4,] 6.28096365 -363.10568715
[5,] -105.39449048 6.28096365
[6,] -551.79617950 -105.39449048
[7,] -101.12593542 -551.79617950
[8,] 66.20578365 -101.12593542
[9,] -144.96806083 66.20578365
[10,] -43.63991998 -144.96806083
[11,] -118.05314830 -43.63991998
[12,] 31.21731667 -118.05314830
[13,] -51.28301505 31.21731667
[14,] -221.80806034 -51.28301505
[15,] 38.56372192 -221.80806034
[16,] 415.76548871 38.56372192
[17,] -87.06096291 415.76548871
[18,] -124.05592383 -87.06096291
[19,] -170.74778310 -124.05592383
[20,] 164.61426552 -170.74778310
[21,] 40.16418142 164.61426552
[22,] -353.89403103 40.16418142
[23,] 1.27380576 -353.89403103
[24,] -37.73155458 1.27380576
[25,] -47.20884833 -37.73155458
[26,] 85.83032764 -47.20884833
[27,] 29.25439589 85.83032764
[28,] 37.67056955 29.25439589
[29,] -92.88673947 37.67056955
[30,] -176.06937912 -92.88673947
[31,] -124.13642303 -176.06937912
[32,] 4.44330430 -124.13642303
[33,] -141.40785122 4.44330430
[34,] -71.27927800 -141.40785122
[35,] -141.18157533 -71.27927800
[36,] 29.46387318 -141.18157533
[37,] -207.22088665 29.46387318
[38,] 168.61904164 -207.22088665
[39,] -72.87228618 168.61904164
[40,] 16.52662332 -72.87228618
[41,] 38.37566722 16.52662332
[42,] 347.25072540 38.37566722
[43,] 136.83149694 347.25072540
[44,] -277.67037259 136.83149694
[45,] -207.64239921 -277.67037259
[46,] 388.60083516 -207.64239921
[47,] -119.97281924 388.60083516
[48,] 93.42932904 -119.97281924
[49,] 73.78423823 93.42932904
[50,] -594.68330623 73.78423823
[51,] -30.26776893 -594.68330623
[52,] 153.09780218 -30.26776893
[53,] 352.14406014 153.09780218
[54,] -213.41915731 352.14406014
[55,] 75.94595716 -213.41915731
[56,] -96.25686273 75.94595716
[57,] 45.57958136 -96.25686273
[58,] -21.03338795 45.57958136
[59,] -92.01013079 -21.03338795
[60,] 37.05701620 -92.01013079
[61,] 361.61699692 37.05701620
[62,] 1344.01533560 361.61699692
[63,] 3.19419509 1344.01533560
[64,] 322.50788534 3.19419509
[65,] -219.15798211 322.50788534
[66,] -85.14415187 -219.15798211
[67,] 369.84845906 -85.14415187
[68,] 1.13112897 369.84845906
[69,] -82.33865044 1.13112897
[70,] 68.32089590 -82.33865044
[71,] -238.92124371 68.32089590
[72,] 143.70438508 -238.92124371
[73,] 115.67585584 143.70438508
[74,] 320.19651842 115.67585584
[75,] -114.45165761 320.19651842
[76,] -119.75341421 -114.45165761
[77,] 122.30761104 -119.75341421
[78,] -167.58830894 122.30761104
[79,] 95.85386093 -167.58830894
[80,] -335.15826960 95.85386093
[81,] -61.01667857 -335.15826960
[82,] -446.55060581 -61.01667857
[83,] -181.06369354 -446.55060581
[84,] 145.73515580 -181.06369354
[85,] 55.34478929 145.73515580
[86,] -118.83876352 55.34478929
[87,] 28.03993600 -118.83876352
[88,] 185.33387497 28.03993600
[89,] -303.66557525 185.33387497
[90,] 239.50475926 -303.66557525
[91,] -277.80566380 239.50475926
[92,] -269.32680846 -277.80566380
[93,] -14.67504960 -269.32680846
[94,] 71.88188087 -14.67504960
[95,] -158.09954777 71.88188087
[96,] 20.65591723 -158.09954777
[97,] 198.50235739 20.65591723
[98,] 95.79609323 198.50235739
[99,] -2.67603829 95.79609323
[100,] 98.30836672 -2.67603829
[101,] 62.85447118 98.30836672
[102,] -214.80666435 62.85447118
[103,] -80.21857559 -214.80666435
[104,] -92.35235205 -80.21857559
[105,] -168.01513443 -92.35235205
[106,] 322.43573848 -168.01513443
[107,] 215.87065084 322.43573848
[108,] -86.98525529 215.87065084
[109,] 60.91661051 -86.98525529
[110,] -128.33400893 60.91661051
[111,] 44.55575911 -128.33400893
[112,] -100.64422564 44.55575911
[113,] 94.56657781 -100.64422564
[114,] -69.82907444 94.56657781
[115,] -339.99754357 -69.82907444
[116,] -100.89651931 -339.99754357
[117,] 161.68030524 -100.89651931
[118,] 15.13390985 161.68030524
[119,] 151.38039564 15.13390985
[120,] 135.39585461 151.38039564
[121,] 53.89541762 135.39585461
[122,] 83.65278006 53.89541762
[123,] -4.61720773 83.65278006
[124,] -34.64379998 -4.61720773
[125,] 57.81855603 -34.64379998
[126,] 11.55571969 57.81855603
[127,] 187.83115236 11.55571969
[128,] 59.80751362 187.83115236
[129,] -66.36453109 59.80751362
[130,] 73.95882290 -66.36453109
[131,] -37.45162666 73.95882290
[132,] -95.03733133 -37.45162666
[133,] 307.39829755 -95.03733133
[134,] 14.69171425 307.39829755
[135,] -171.73710929 14.69171425
[136,] -34.79860527 -171.73710929
[137,] -128.16782123 -34.79860527
[138,] 29.58559852 -128.16782123
[139,] -149.97110263 29.58559852
[140,] 14.09463919 -149.97110263
[141,] 239.61730198 14.09463919
[142,] -109.98177680 239.61730198
[143,] 106.93380452 -109.98177680
[144,] -0.48353932 106.93380452
[145,] 195.88856867 -0.48353932
[146,] -39.07247206 195.88856867
[147,] -21.89171677 -39.07247206
[148,] -221.88780808 -21.89171677
[149,] -81.62438678 -221.88780808
[150,] -172.80696037 -81.62438678
[151,] -169.70003193 -172.80696037
[152,] 178.73097238 -169.70003193
[153,] -437.38503520 178.73097238
[154,] -134.74980470 -437.38503520
[155,] 73.79214278 -134.74980470
[156,] -238.21965337 73.79214278
[157,] -200.88441598 -238.21965337
[158,] -71.64254670 -200.88441598
[159,] 96.79039968 -71.64254670
[160,] 282.59922845 96.79039968
[161,] -63.76403276 282.59922845
[162,] 111.03018983 -63.76403276
[163,] -268.01760679 111.03018983
[164,] -10.73902051 -268.01760679
[165,] -112.39500895 -10.73902051
[166,] -98.90997586 -112.39500895
[167,] -57.05457772 -98.90997586
[168,] 101.44396203 -57.05457772
[169,] 119.40457097 101.44396203
[170,] 0.45067722 119.40457097
[171,] -55.53247389 0.45067722
[172,] 215.63869598 -55.53247389
[173,] 188.25417871 215.63869598
[174,] -180.17957373 188.25417871
[175,] -113.55204823 -180.17957373
[176,] 5.40874321 -113.55204823
[177,] -24.84993763 5.40874321
[178,] 56.71478374 -24.84993763
[179,] -51.97627456 56.71478374
[180,] 164.67344274 -51.97627456
[181,] 186.09797615 164.67344274
[182,] -91.29190464 186.09797615
[183,] 75.14522380 -91.29190464
[184,] 105.57721018 75.14522380
[185,] -122.55109946 105.57721018
[186,] -204.93856765 -122.55109946
[187,] -132.85952400 -204.93856765
[188,] 206.14304209 -132.85952400
[189,] -19.53770827 206.14304209
[190,] 42.06237228 -19.53770827
[191,] -187.94692948 42.06237228
[192,] 107.28202769 -187.94692948
[193,] 151.44238765 107.28202769
[194,] -56.34364369 151.44238765
[195,] 76.52117269 -56.34364369
[196,] -122.36230799 76.52117269
[197,] -100.16582292 -122.36230799
[198,] -21.53917262 -100.16582292
[199,] -48.10930633 -21.53917262
[200,] 65.47896641 -48.10930633
[201,] -46.27031455 65.47896641
[202,] -24.14332043 -46.27031455
[203,] 57.93600607 -24.14332043
[204,] -15.44406481 57.93600607
[205,] -26.45687240 -15.44406481
[206,] 184.12894892 -26.45687240
[207,] -98.42745231 184.12894892
[208,] 13.57249013 -98.42745231
[209,] -39.37595079 13.57249013
[210,] 120.31477434 -39.37595079
[211,] 206.00465263 120.31477434
[212,] -55.23902181 206.00465263
[213,] -59.17211053 -55.23902181
[214,] 81.37862810 -59.17211053
[215,] 22.67718765 81.37862810
[216,] 26.00939770 22.67718765
[217,] -39.86338357 26.00939770
[218,] -48.01458086 -39.86338357
[219,] -87.96114960 -48.01458086
[220,] 52.21565858 -87.96114960
[221,] 488.82174542 52.21565858
[222,] 312.37712708 488.82174542
[223,] 28.83450586 312.37712708
[224,] -133.52494238 28.83450586
[225,] 168.56038488 -133.52494238
[226,] -19.08587316 168.56038488
[227,] -67.04258633 -19.08587316
[228,] 173.33742243 -67.04258633
[229,] 281.22518499 173.33742243
[230,] 40.95688555 281.22518499
[231,] 191.51941196 40.95688555
[232,] 149.58425832 191.51941196
[233,] -12.88109822 149.58425832
[234,] -49.77304663 -12.88109822
[235,] 26.99750720 -49.77304663
[236,] -29.19814137 26.99750720
[237,] -5.08975899 -29.19814137
[238,] -57.28693376 -5.08975899
[239,] -60.36432890 -57.28693376
[240,] 77.16212825 -60.36432890
[241,] 521.90875213 77.16212825
[242,] 58.97492157 521.90875213
[243,] -54.08015067 58.97492157
[244,] -58.00343153 -54.08015067
[245,] -27.25677854 -58.00343153
[246,] 283.77516860 -27.25677854
[247,] -72.94769495 283.77516860
[248,] -76.93131152 -72.94769495
[249,] -90.63952589 -76.93131152
[250,] 45.27324730 -90.63952589
[251,] -23.22625175 45.27324730
[252,] -83.78021211 -23.22625175
[253,] 27.60167212 -83.78021211
[254,] -63.36462173 27.60167212
[255,] -87.19796946 -63.36462173
[256,] -32.09382940 -87.19796946
[257,] -74.37228689 -32.09382940
[258,] 16.23829297 -74.37228689
[259,] 21.78533103 16.23829297
[260,] -49.27826544 21.78533103
[261,] 13.10222606 -49.27826544
[262,] 51.48661329 13.10222606
[263,] 28.27204725 51.48661329
[264,] -36.16903697 28.27204725
[265,] -14.91430371 -36.16903697
[266,] -17.82581426 -14.91430371
[267,] -98.78961121 -17.82581426
[268,] -141.16023858 -98.78961121
[269,] -43.04548120 -141.16023858
[270,] 196.27796433 -43.04548120
[271,] -93.47114167 196.27796433
[272,] -47.92774506 -93.47114167
[273,] 40.28219379 -47.92774506
[274,] 45.18093852 40.28219379
[275,] 118.44276851 45.18093852
[276,] 58.23228362 118.44276851
[277,] -44.16439501 58.23228362
[278,] 112.75136398 -44.16439501
[279,] -103.82826083 112.75136398
[280,] -72.43252949 -103.82826083
[281,] -30.22288612 -72.43252949
[282,] -0.05604489 -30.22288612
[283,] -50.78493517 -0.05604489
[284,] -98.97742086 -50.78493517
[285,] 346.08184338 -98.97742086
[286,] 95.96999499 346.08184338
[287,] 83.82039405 95.96999499
[288,] -47.30008121 83.82039405
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -163.59692548 29.89680087
2 -76.25268655 -163.59692548
3 -363.10568715 -76.25268655
4 6.28096365 -363.10568715
5 -105.39449048 6.28096365
6 -551.79617950 -105.39449048
7 -101.12593542 -551.79617950
8 66.20578365 -101.12593542
9 -144.96806083 66.20578365
10 -43.63991998 -144.96806083
11 -118.05314830 -43.63991998
12 31.21731667 -118.05314830
13 -51.28301505 31.21731667
14 -221.80806034 -51.28301505
15 38.56372192 -221.80806034
16 415.76548871 38.56372192
17 -87.06096291 415.76548871
18 -124.05592383 -87.06096291
19 -170.74778310 -124.05592383
20 164.61426552 -170.74778310
21 40.16418142 164.61426552
22 -353.89403103 40.16418142
23 1.27380576 -353.89403103
24 -37.73155458 1.27380576
25 -47.20884833 -37.73155458
26 85.83032764 -47.20884833
27 29.25439589 85.83032764
28 37.67056955 29.25439589
29 -92.88673947 37.67056955
30 -176.06937912 -92.88673947
31 -124.13642303 -176.06937912
32 4.44330430 -124.13642303
33 -141.40785122 4.44330430
34 -71.27927800 -141.40785122
35 -141.18157533 -71.27927800
36 29.46387318 -141.18157533
37 -207.22088665 29.46387318
38 168.61904164 -207.22088665
39 -72.87228618 168.61904164
40 16.52662332 -72.87228618
41 38.37566722 16.52662332
42 347.25072540 38.37566722
43 136.83149694 347.25072540
44 -277.67037259 136.83149694
45 -207.64239921 -277.67037259
46 388.60083516 -207.64239921
47 -119.97281924 388.60083516
48 93.42932904 -119.97281924
49 73.78423823 93.42932904
50 -594.68330623 73.78423823
51 -30.26776893 -594.68330623
52 153.09780218 -30.26776893
53 352.14406014 153.09780218
54 -213.41915731 352.14406014
55 75.94595716 -213.41915731
56 -96.25686273 75.94595716
57 45.57958136 -96.25686273
58 -21.03338795 45.57958136
59 -92.01013079 -21.03338795
60 37.05701620 -92.01013079
61 361.61699692 37.05701620
62 1344.01533560 361.61699692
63 3.19419509 1344.01533560
64 322.50788534 3.19419509
65 -219.15798211 322.50788534
66 -85.14415187 -219.15798211
67 369.84845906 -85.14415187
68 1.13112897 369.84845906
69 -82.33865044 1.13112897
70 68.32089590 -82.33865044
71 -238.92124371 68.32089590
72 143.70438508 -238.92124371
73 115.67585584 143.70438508
74 320.19651842 115.67585584
75 -114.45165761 320.19651842
76 -119.75341421 -114.45165761
77 122.30761104 -119.75341421
78 -167.58830894 122.30761104
79 95.85386093 -167.58830894
80 -335.15826960 95.85386093
81 -61.01667857 -335.15826960
82 -446.55060581 -61.01667857
83 -181.06369354 -446.55060581
84 145.73515580 -181.06369354
85 55.34478929 145.73515580
86 -118.83876352 55.34478929
87 28.03993600 -118.83876352
88 185.33387497 28.03993600
89 -303.66557525 185.33387497
90 239.50475926 -303.66557525
91 -277.80566380 239.50475926
92 -269.32680846 -277.80566380
93 -14.67504960 -269.32680846
94 71.88188087 -14.67504960
95 -158.09954777 71.88188087
96 20.65591723 -158.09954777
97 198.50235739 20.65591723
98 95.79609323 198.50235739
99 -2.67603829 95.79609323
100 98.30836672 -2.67603829
101 62.85447118 98.30836672
102 -214.80666435 62.85447118
103 -80.21857559 -214.80666435
104 -92.35235205 -80.21857559
105 -168.01513443 -92.35235205
106 322.43573848 -168.01513443
107 215.87065084 322.43573848
108 -86.98525529 215.87065084
109 60.91661051 -86.98525529
110 -128.33400893 60.91661051
111 44.55575911 -128.33400893
112 -100.64422564 44.55575911
113 94.56657781 -100.64422564
114 -69.82907444 94.56657781
115 -339.99754357 -69.82907444
116 -100.89651931 -339.99754357
117 161.68030524 -100.89651931
118 15.13390985 161.68030524
119 151.38039564 15.13390985
120 135.39585461 151.38039564
121 53.89541762 135.39585461
122 83.65278006 53.89541762
123 -4.61720773 83.65278006
124 -34.64379998 -4.61720773
125 57.81855603 -34.64379998
126 11.55571969 57.81855603
127 187.83115236 11.55571969
128 59.80751362 187.83115236
129 -66.36453109 59.80751362
130 73.95882290 -66.36453109
131 -37.45162666 73.95882290
132 -95.03733133 -37.45162666
133 307.39829755 -95.03733133
134 14.69171425 307.39829755
135 -171.73710929 14.69171425
136 -34.79860527 -171.73710929
137 -128.16782123 -34.79860527
138 29.58559852 -128.16782123
139 -149.97110263 29.58559852
140 14.09463919 -149.97110263
141 239.61730198 14.09463919
142 -109.98177680 239.61730198
143 106.93380452 -109.98177680
144 -0.48353932 106.93380452
145 195.88856867 -0.48353932
146 -39.07247206 195.88856867
147 -21.89171677 -39.07247206
148 -221.88780808 -21.89171677
149 -81.62438678 -221.88780808
150 -172.80696037 -81.62438678
151 -169.70003193 -172.80696037
152 178.73097238 -169.70003193
153 -437.38503520 178.73097238
154 -134.74980470 -437.38503520
155 73.79214278 -134.74980470
156 -238.21965337 73.79214278
157 -200.88441598 -238.21965337
158 -71.64254670 -200.88441598
159 96.79039968 -71.64254670
160 282.59922845 96.79039968
161 -63.76403276 282.59922845
162 111.03018983 -63.76403276
163 -268.01760679 111.03018983
164 -10.73902051 -268.01760679
165 -112.39500895 -10.73902051
166 -98.90997586 -112.39500895
167 -57.05457772 -98.90997586
168 101.44396203 -57.05457772
169 119.40457097 101.44396203
170 0.45067722 119.40457097
171 -55.53247389 0.45067722
172 215.63869598 -55.53247389
173 188.25417871 215.63869598
174 -180.17957373 188.25417871
175 -113.55204823 -180.17957373
176 5.40874321 -113.55204823
177 -24.84993763 5.40874321
178 56.71478374 -24.84993763
179 -51.97627456 56.71478374
180 164.67344274 -51.97627456
181 186.09797615 164.67344274
182 -91.29190464 186.09797615
183 75.14522380 -91.29190464
184 105.57721018 75.14522380
185 -122.55109946 105.57721018
186 -204.93856765 -122.55109946
187 -132.85952400 -204.93856765
188 206.14304209 -132.85952400
189 -19.53770827 206.14304209
190 42.06237228 -19.53770827
191 -187.94692948 42.06237228
192 107.28202769 -187.94692948
193 151.44238765 107.28202769
194 -56.34364369 151.44238765
195 76.52117269 -56.34364369
196 -122.36230799 76.52117269
197 -100.16582292 -122.36230799
198 -21.53917262 -100.16582292
199 -48.10930633 -21.53917262
200 65.47896641 -48.10930633
201 -46.27031455 65.47896641
202 -24.14332043 -46.27031455
203 57.93600607 -24.14332043
204 -15.44406481 57.93600607
205 -26.45687240 -15.44406481
206 184.12894892 -26.45687240
207 -98.42745231 184.12894892
208 13.57249013 -98.42745231
209 -39.37595079 13.57249013
210 120.31477434 -39.37595079
211 206.00465263 120.31477434
212 -55.23902181 206.00465263
213 -59.17211053 -55.23902181
214 81.37862810 -59.17211053
215 22.67718765 81.37862810
216 26.00939770 22.67718765
217 -39.86338357 26.00939770
218 -48.01458086 -39.86338357
219 -87.96114960 -48.01458086
220 52.21565858 -87.96114960
221 488.82174542 52.21565858
222 312.37712708 488.82174542
223 28.83450586 312.37712708
224 -133.52494238 28.83450586
225 168.56038488 -133.52494238
226 -19.08587316 168.56038488
227 -67.04258633 -19.08587316
228 173.33742243 -67.04258633
229 281.22518499 173.33742243
230 40.95688555 281.22518499
231 191.51941196 40.95688555
232 149.58425832 191.51941196
233 -12.88109822 149.58425832
234 -49.77304663 -12.88109822
235 26.99750720 -49.77304663
236 -29.19814137 26.99750720
237 -5.08975899 -29.19814137
238 -57.28693376 -5.08975899
239 -60.36432890 -57.28693376
240 77.16212825 -60.36432890
241 521.90875213 77.16212825
242 58.97492157 521.90875213
243 -54.08015067 58.97492157
244 -58.00343153 -54.08015067
245 -27.25677854 -58.00343153
246 283.77516860 -27.25677854
247 -72.94769495 283.77516860
248 -76.93131152 -72.94769495
249 -90.63952589 -76.93131152
250 45.27324730 -90.63952589
251 -23.22625175 45.27324730
252 -83.78021211 -23.22625175
253 27.60167212 -83.78021211
254 -63.36462173 27.60167212
255 -87.19796946 -63.36462173
256 -32.09382940 -87.19796946
257 -74.37228689 -32.09382940
258 16.23829297 -74.37228689
259 21.78533103 16.23829297
260 -49.27826544 21.78533103
261 13.10222606 -49.27826544
262 51.48661329 13.10222606
263 28.27204725 51.48661329
264 -36.16903697 28.27204725
265 -14.91430371 -36.16903697
266 -17.82581426 -14.91430371
267 -98.78961121 -17.82581426
268 -141.16023858 -98.78961121
269 -43.04548120 -141.16023858
270 196.27796433 -43.04548120
271 -93.47114167 196.27796433
272 -47.92774506 -93.47114167
273 40.28219379 -47.92774506
274 45.18093852 40.28219379
275 118.44276851 45.18093852
276 58.23228362 118.44276851
277 -44.16439501 58.23228362
278 112.75136398 -44.16439501
279 -103.82826083 112.75136398
280 -72.43252949 -103.82826083
281 -30.22288612 -72.43252949
282 -0.05604489 -30.22288612
283 -50.78493517 -0.05604489
284 -98.97742086 -50.78493517
285 346.08184338 -98.97742086
286 95.96999499 346.08184338
287 83.82039405 95.96999499
288 -47.30008121 83.82039405
> 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/7k4t81355434874.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/8muz41355434874.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/fisher/rcomp/tmp/959kq1355434874.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/fisher/rcomp/tmp/109evb1355434874.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$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/110p201355434874.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/121qr81355434874.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/1305ba1355434874.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/144i861355434874.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/15k1x91355434874.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/16750l1355434875.tab")
+ }
>
> try(system("convert tmp/150q01355434873.ps tmp/150q01355434873.png",intern=TRUE))
character(0)
> try(system("convert tmp/2bwx51355434873.ps tmp/2bwx51355434873.png",intern=TRUE))
character(0)
> try(system("convert tmp/3o3vp1355434873.ps tmp/3o3vp1355434873.png",intern=TRUE))
character(0)
> try(system("convert tmp/4nf2f1355434873.ps tmp/4nf2f1355434873.png",intern=TRUE))
character(0)
> try(system("convert tmp/5kl4c1355434873.ps tmp/5kl4c1355434873.png",intern=TRUE))
character(0)
> try(system("convert tmp/6r8381355434873.ps tmp/6r8381355434873.png",intern=TRUE))
character(0)
> try(system("convert tmp/7k4t81355434874.ps tmp/7k4t81355434874.png",intern=TRUE))
character(0)
> try(system("convert tmp/8muz41355434874.ps tmp/8muz41355434874.png",intern=TRUE))
character(0)
> try(system("convert tmp/959kq1355434874.ps tmp/959kq1355434874.png",intern=TRUE))
character(0)
> try(system("convert tmp/109evb1355434874.ps tmp/109evb1355434874.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
13.970 1.636 15.612