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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+ ,44
+ ,0
+ ,17
+ ,16
+ ,64
+ ,39
+ ,19540
+ ,6095
+ ,35873
+ ,27
+ ,21)
+ ,dim=c(15
+ ,289)
+ ,dimnames=list(c('pageviews'
+ ,'time_in_rfc'
+ ,'logins'
+ ,'compendium_views_info'
+ ,'compendium_views_pr'
+ ,'shared_compendiums'
+ ,'blogged_computations'
+ ,'compendiums_reviewed'
+ ,'feedback_messages_p1'
+ ,'feedback_messages_p120'
+ ,'totsize'
+ ,'totrevisions'
+ ,'totseconds'
+ ,'tothyperlinks'
+ ,'totblogs
')
+ ,1:289))
> y <- array(NA,dim=c(15,289),dimnames=list(c('pageviews','time_in_rfc','logins','compendium_views_info','compendium_views_pr','shared_compendiums','blogged_computations','compendiums_reviewed','feedback_messages_p1','feedback_messages_p120','totsize','totrevisions','totseconds','tothyperlinks','totblogs
'),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 = 'Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '2'
> par3 <- 'Linear Trend'
> par2 <- 'Do not include Seasonal Dummies'
> par1 <- '2'
> #'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
time_in_rfc pageviews logins compendium_views_info compendium_views_pr
1 210907 1418 56 396 81
2 120982 869 56 297 55
3 176508 1530 54 559 50
4 179321 2172 89 967 125
5 123185 901 40 270 40
6 52746 463 25 143 37
7 385534 3201 92 1562 63
8 33170 371 18 109 44
9 101645 1192 63 371 88
10 149061 1583 44 656 66
11 165446 1439 33 511 57
12 237213 1764 84 655 74
13 173326 1495 88 465 49
14 133131 1373 55 525 52
15 258873 2187 60 885 88
16 180083 1491 66 497 36
17 324799 4041 154 1436 108
18 230964 1706 53 612 43
19 236785 2152 119 865 75
20 135473 1036 41 385 32
21 202925 1882 61 567 44
22 215147 1929 58 639 85
23 344297 2242 75 963 86
24 153935 1220 33 398 56
25 132943 1289 40 410 50
26 174724 2515 92 966 135
27 174415 2147 100 801 63
28 225548 2352 112 892 81
29 223632 1638 73 513 52
30 124817 1222 40 469 44
31 221698 1812 45 683 113
32 210767 1677 60 643 39
33 170266 1579 62 535 73
34 260561 1731 75 625 48
35 84853 807 31 264 33
36 294424 2452 77 992 59
37 101011 829 34 238 41
38 215641 1940 46 818 69
39 325107 2662 99 937 64
40 7176 186 17 70 1
41 167542 1499 66 507 59
42 106408 865 30 260 32
43 96560 1793 76 503 129
44 265769 2527 146 927 37
45 269651 2747 67 1269 31
46 149112 1324 56 537 65
47 175824 2702 107 910 107
48 152871 1383 58 532 74
49 111665 1179 34 345 54
50 116408 2099 61 918 76
51 362301 4308 119 1635 715
52 78800 918 42 330 57
53 183167 1831 66 557 66
54 277965 3373 89 1178 106
55 150629 1713 44 740 54
56 168809 1438 66 452 32
57 24188 496 24 218 20
58 329267 2253 259 764 71
59 65029 744 17 255 21
60 101097 1161 64 454 70
61 218946 2352 41 866 112
62 244052 2144 68 574 66
63 341570 4691 168 1276 190
64 103597 1112 43 379 66
65 233328 2694 132 825 165
66 256462 1973 105 798 56
67 206161 1769 71 663 61
68 311473 3148 112 1069 53
69 235800 2474 94 921 127
70 177939 2084 82 858 63
71 207176 1954 70 711 38
72 196553 1226 57 503 50
73 174184 1389 53 382 52
74 143246 1496 103 464 42
75 187559 2269 121 717 76
76 187681 1833 62 690 67
77 119016 1268 52 462 50
78 182192 1943 52 657 53
79 73566 893 32 385 39
80 194979 1762 62 577 50
81 167488 1403 45 619 77
82 143756 1425 46 479 57
83 275541 1857 63 817 73
84 243199 1840 75 752 34
85 182999 1502 88 430 39
86 135649 1441 46 451 46
87 152299 1420 53 537 63
88 120221 1416 37 519 35
89 346485 2970 90 1000 106
90 145790 1317 63 637 43
91 193339 1644 78 465 47
92 80953 870 25 437 31
93 122774 1654 45 711 162
94 130585 1054 46 299 57
95 112611 937 41 248 36
96 286468 3004 144 1162 263
97 241066 2008 82 714 78
98 148446 2547 91 905 63
99 204713 1885 71 649 54
100 182079 1626 63 512 63
101 140344 1468 53 472 77
102 220516 2445 62 905 79
103 243060 1964 63 786 110
104 162765 1381 32 489 56
105 182613 1369 39 479 56
106 232138 1659 62 617 43
107 265318 2888 117 925 111
108 85574 1290 34 351 71
109 310839 2845 92 1144 62
110 225060 1982 93 669 56
111 232317 1904 54 707 74
112 144966 1391 144 458 60
113 43287 602 14 214 43
114 155754 1743 61 599 68
115 164709 1559 109 572 53
116 201940 2014 38 897 87
117 235454 2143 73 819 46
118 220801 2146 75 720 105
119 99466 874 50 273 32
120 92661 1590 61 508 133
121 133328 1590 55 506 79
122 61361 1210 77 451 51
123 125930 2072 75 699 207
124 100750 1281 72 407 67
125 224549 1401 50 465 47
126 82316 834 32 245 34
127 102010 1105 53 370 66
128 101523 1272 42 316 76
129 243511 1944 71 603 65
130 22938 391 10 154 9
131 41566 761 35 229 42
132 152474 1605 65 577 45
133 61857 530 25 192 25
134 99923 1988 66 617 115
135 132487 1386 41 411 97
136 317394 2395 86 975 53
137 21054 387 16 146 2
138 209641 1742 42 705 52
139 22648 620 19 184 44
140 31414 449 19 200 22
141 46698 800 45 274 35
142 131698 1684 65 502 74
143 91735 1050 35 382 103
144 244749 2699 95 964 144
145 184510 1606 49 537 60
146 79863 1502 37 438 134
147 128423 1204 64 369 89
148 97839 1138 38 417 42
149 38214 568 34 276 52
150 151101 1459 32 514 98
151 272458 2158 65 822 99
152 172494 1111 52 389 52
153 108043 1421 62 466 29
154 328107 2833 65 1255 125
155 250579 1955 83 694 106
156 351067 2922 95 1024 95
157 158015 1002 29 400 40
158 98866 1060 18 397 140
159 85439 956 33 350 43
160 229242 2186 247 719 128
161 351619 3604 139 1277 142
162 84207 1035 29 356 73
163 120445 1417 118 457 72
164 324598 3261 110 1402 128
165 131069 1587 67 600 61
166 204271 1424 42 480 73
167 165543 1701 65 595 148
168 141722 1249 94 436 64
169 116048 946 64 230 45
170 250047 1926 81 651 58
171 299775 3352 95 1367 97
172 195838 1641 67 564 50
173 173260 2035 63 716 37
174 254488 2312 83 747 50
175 104389 1369 45 467 105
176 136084 1577 30 671 69
177 199476 2201 70 861 46
178 92499 961 32 319 57
179 224330 1900 83 612 52
180 135781 1254 31 433 98
181 74408 1335 67 434 61
182 81240 1597 66 503 89
183 14688 207 10 85 0
184 181633 1645 70 564 48
185 271856 2429 103 824 91
186 7199 151 5 74 0
187 46660 474 20 259 7
188 17547 141 5 69 3
189 133368 1639 36 535 54
190 95227 872 34 239 70
191 152601 1318 48 438 36
192 98146 1018 40 459 37
193 79619 1383 43 426 123
194 59194 1314 31 288 247
195 139942 1335 42 498 46
196 118612 1403 46 454 72
197 72880 910 33 376 41
198 65475 616 18 225 24
199 99643 1407 55 555 45
200 71965 771 35 252 33
201 77272 766 59 208 27
202 49289 473 19 130 36
203 135131 1376 66 481 87
204 108446 1232 60 389 90
205 89746 1521 36 565 114
206 44296 572 25 173 31
207 77648 1059 47 278 45
208 181528 1544 54 609 69
209 134019 1230 53 422 51
210 124064 1206 40 445 34
211 92630 1205 40 387 60
212 121848 1255 39 339 45
213 52915 613 14 181 54
214 81872 721 45 245 25
215 58981 1109 36 384 38
216 53515 740 28 212 52
217 60812 1126 44 399 67
218 56375 728 30 229 74
219 65490 689 22 224 38
220 80949 592 17 203 30
221 76302 995 31 333 26
222 104011 1613 55 384 67
223 98104 2048 54 636 132
224 67989 705 21 185 42
225 30989 301 14 93 35
226 135458 1803 81 581 118
227 73504 799 35 248 68
228 63123 861 43 304 43
229 61254 1186 46 344 76
230 74914 1451 30 407 64
231 31774 628 23 170 48
232 81437 1161 38 312 64
233 87186 1463 54 507 56
234 50090 742 20 224 71
235 65745 979 53 340 75
236 56653 675 45 168 39
237 158399 1241 39 443 42
238 46455 676 20 204 39
239 73624 1049 24 367 93
240 38395 620 31 210 38
241 91899 1081 35 335 60
242 139526 1688 151 364 71
243 52164 736 52 178 52
244 51567 617 30 206 27
245 70551 812 31 279 59
246 84856 1051 29 387 40
247 102538 1656 57 490 79
248 86678 705 40 238 44
249 85709 945 44 343 65
250 34662 554 25 232 10
251 150580 1597 77 530 124
252 99611 982 35 291 81
253 19349 222 11 67 15
254 99373 1212 63 397 92
255 86230 1143 44 467 42
256 30837 435 19 178 10
257 31706 532 13 175 24
258 89806 882 42 299 64
259 62088 608 38 154 45
260 40151 459 29 106 22
261 27634 578 20 189 56
262 76990 826 27 194 94
263 37460 509 20 135 19
264 54157 717 19 201 35
265 49862 637 37 207 32
266 84337 857 26 280 35
267 64175 830 42 260 48
268 59382 652 49 227 49
269 119308 707 30 239 48
270 76702 954 49 333 62
271 103425 1461 67 428 96
272 70344 672 28 230 45
273 43410 778 19 292 63
274 104838 1141 49 350 71
275 62215 680 27 186 26
276 69304 1090 30 326 48
277 53117 616 22 155 29
278 19764 285 12 75 19
279 86680 1145 31 361 45
280 84105 733 20 261 45
281 77945 888 20 299 67
282 89113 849 39 300 30
283 91005 1182 29 450 36
284 40248 528 16 183 34
285 64187 642 27 238 36
286 50857 947 21 165 34
287 56613 819 19 234 37
288 62792 757 35 176 46
289 72535 894 14 329 44
shared_compendiums blogged_computations compendiums_reviewed
1 3 79 30
2 4 58 28
3 12 60 38
4 2 108 30
5 1 49 22
6 3 0 26
7 0 121 25
8 0 1 18
9 0 20 11
10 5 43 26
11 0 69 25
12 0 78 38
13 7 86 44
14 7 44 30
15 3 104 40
16 9 63 34
17 0 158 47
18 4 102 30
19 3 77 31
20 0 82 23
21 7 115 36
22 0 101 36
23 1 80 30
24 5 50 25
25 7 83 39
26 0 123 34
27 0 73 31
28 5 81 31
29 0 105 33
30 0 47 25
31 0 105 33
32 3 94 35
33 4 44 42
34 1 114 43
35 4 38 30
36 2 107 33
37 0 30 13
38 0 71 32
39 0 84 36
40 0 0 0
41 2 59 28
42 1 33 14
43 0 42 17
44 2 96 32
45 10 106 30
46 6 56 35
47 0 57 20
48 5 59 28
49 4 39 28
50 1 34 39
51 2 76 34
52 2 20 26
53 0 91 39
54 8 115 39
55 3 85 33
56 0 76 28
57 0 8 4
58 8 79 39
59 5 21 18
60 3 30 14
61 1 76 29
62 5 101 44
63 1 94 21
64 1 27 16
65 5 92 28
66 0 123 35
67 12 75 28
68 8 128 38
69 8 105 23
70 8 55 36
71 8 56 32
72 2 41 29
73 0 72 25
74 5 67 27
75 8 75 36
76 2 114 28
77 5 118 23
78 12 77 40
79 6 22 23
80 7 66 40
81 2 69 28
82 0 105 34
83 4 116 33
84 3 88 28
85 6 73 34
86 2 99 30
87 0 62 33
88 1 53 22
89 0 118 38
90 5 30 26
91 2 100 35
92 0 49 8
93 0 24 24
94 5 67 29
95 0 46 20
96 1 57 29
97 0 75 45
98 1 135 37
99 1 68 33
100 2 124 33
101 6 33 25
102 1 98 32
103 4 58 29
104 2 68 28
105 3 81 28
106 0 131 31
107 10 110 52
108 0 37 21
109 9 130 24
110 7 93 41
111 0 118 33
112 0 39 32
113 4 13 19
114 4 74 20
115 0 81 31
116 0 109 31
117 0 151 32
118 1 51 18
119 0 28 23
120 1 40 17
121 0 56 20
122 0 27 12
123 4 37 17
124 0 83 30
125 4 54 31
126 4 27 10
127 3 28 13
128 0 59 22
129 0 133 42
130 0 12 1
131 5 0 9
132 0 106 32
133 4 23 11
134 0 44 25
135 0 71 36
136 1 116 31
137 0 4 0
138 5 62 24
139 0 12 13
140 0 18 8
141 0 14 13
142 0 60 19
143 0 7 18
144 2 98 33
145 7 64 40
146 1 29 22
147 8 32 38
148 2 25 24
149 0 16 8
150 2 48 35
151 0 100 43
152 0 46 43
153 1 45 14
154 3 129 41
155 0 130 38
156 3 136 45
157 0 59 31
158 0 25 13
159 0 32 28
160 4 63 31
161 4 95 40
162 11 14 30
163 0 36 16
164 0 113 37
165 4 47 30
166 0 92 35
167 1 70 32
168 0 19 27
169 0 50 20
170 0 41 18
171 9 91 31
172 1 111 31
173 3 41 21
174 10 120 39
175 5 135 41
176 0 27 13
177 2 87 32
178 0 25 18
179 1 131 39
180 2 45 14
181 4 29 7
182 0 58 17
183 0 4 0
184 2 47 30
185 1 109 37
186 0 7 0
187 0 12 5
188 0 0 1
189 1 37 16
190 0 37 32
191 2 46 24
192 0 15 17
193 3 42 11
194 6 7 24
195 0 54 22
196 2 54 12
197 0 14 19
198 2 16 13
199 1 33 17
200 1 32 15
201 2 21 16
202 1 15 24
203 0 38 15
204 1 22 17
205 3 28 18
206 0 10 20
207 0 31 16
208 0 32 16
209 0 32 18
210 1 43 22
211 4 27 8
212 0 37 17
213 0 20 18
214 0 32 16
215 7 0 23
216 2 5 22
217 0 26 13
218 7 10 13
219 3 27 16
220 0 11 16
221 0 29 20
222 6 25 22
223 2 55 17
224 0 23 18
225 0 5 17
226 3 43 12
227 0 23 7
228 1 34 17
229 1 36 14
230 0 35 23
231 1 0 17
232 0 37 14
233 0 28 15
234 0 16 17
235 0 26 21
236 0 38 18
237 0 23 18
238 0 22 17
239 0 30 17
240 0 16 16
241 0 18 15
242 0 28 21
243 0 32 16
244 2 21 14
245 0 23 15
246 1 29 17
247 1 50 15
248 0 12 15
249 0 21 10
250 0 18 6
251 0 27 22
252 0 41 21
253 0 13 1
254 1 12 18
255 0 21 17
256 0 8 4
257 0 26 10
258 0 27 16
259 1 13 16
260 0 16 9
261 0 2 16
262 0 42 17
263 0 5 7
264 0 37 15
265 0 17 14
266 0 38 14
267 0 37 18
268 0 29 12
269 0 32 16
270 0 35 21
271 1 17 19
272 0 20 16
273 0 7 1
274 1 46 16
275 0 24 10
276 6 40 19
277 3 3 12
278 1 10 2
279 2 37 14
280 0 17 17
281 0 28 19
282 0 19 14
283 3 29 11
284 1 8 4
285 0 10 16
286 0 15 20
287 1 15 12
288 0 28 15
289 0 17 16
feedback_messages_p1 feedback_messages_p120 totsize totrevisions totseconds
1 115 94 112285 24188 146283
2 109 103 84786 18273 98364
3 146 93 83123 14130 86146
4 116 103 101193 32287 96933
5 68 51 38361 8654 79234
6 101 70 68504 9245 42551
7 96 91 119182 33251 195663
8 67 22 22807 1271 6853
9 44 38 17140 5279 21529
10 100 93 116174 27101 95757
11 93 60 57635 16373 85584
12 140 123 66198 19716 143983
13 166 148 71701 17753 75851
14 99 90 57793 9028 59238
15 139 124 80444 18653 93163
16 130 70 53855 8828 96037
17 181 168 97668 29498 151511
18 116 115 133824 27563 136368
19 116 71 101481 18293 112642
20 88 66 99645 22530 94728
21 139 134 114789 15977 105499
22 135 117 99052 35082 121527
23 108 108 67654 16116 127766
24 89 84 65553 15849 98958
25 156 156 97500 16026 77900
26 129 120 69112 26569 85646
27 118 114 82753 24785 98579
28 118 94 85323 17569 130767
29 125 120 72654 23825 131741
30 95 81 30727 7869 53907
31 126 110 77873 14975 178812
32 135 133 117478 37791 146761
33 154 122 74007 9605 82036
34 165 158 90183 27295 163253
35 113 109 61542 2746 27032
36 127 124 101494 34461 171975
37 52 39 27570 8098 65990
38 121 92 55813 4787 86572
39 136 126 79215 24919 159676
40 0 0 1423 603 1929
41 108 70 55461 16329 85371
42 46 37 31081 12558 58391
43 54 38 22996 7784 31580
44 124 120 83122 28522 136815
45 115 93 70106 22265 120642
46 128 95 60578 14459 69107
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48 97 90 79892 22240 108016
49 104 80 49810 11802 46341
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51 125 110 100708 11912 79336
52 82 66 33032 7935 56968
53 149 138 82875 18220 93176
54 149 133 139077 19199 161632
55 122 113 71595 19918 87850
56 118 100 72260 21884 127969
57 12 7 5950 2694 15049
58 144 140 115762 15808 155135
59 67 61 32551 3597 25109
60 52 41 31701 5296 45824
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63 80 78 117105 18450 158051
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65 107 102 120733 34861 162647
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67 107 99 73107 16688 60622
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71 123 114 87011 21436 96144
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80 155 151 74011 16851 93487
81 104 72 83737 21113 82981
82 132 120 69094 17401 73815
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99 122 69 41140 9758 87831
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104 108 107 120293 25131 93913
105 99 99 138599 30910 136048
106 117 90 161647 35947 181248
107 199 197 115929 29848 146123
108 78 36 24266 6943 32036
109 91 85 162901 42705 186646
110 158 139 109825 31808 102255
111 126 106 129838 26675 168237
112 122 50 37510 8435 64219
113 71 64 43750 7409 19630
114 75 31 40652 14993 76825
115 115 63 87771 36867 115338
116 119 92 85872 33835 109427
117 124 106 89275 24164 118168
118 72 63 44418 12607 84845
119 91 69 192565 22609 153197
120 45 41 35232 5892 29877
121 78 56 40909 17014 63506
122 39 25 13294 5394 22445
123 68 65 32387 9178 47695
124 119 93 140867 6440 68370
125 117 114 120662 21916 146304
126 39 38 21233 4011 38233
127 50 44 44332 5818 42071
128 88 87 61056 18647 50517
129 155 110 101338 20556 103950
130 0 0 1168 238 5841
131 36 27 13497 70 2341
132 123 83 65567 22392 84396
133 32 30 25162 3913 24610
134 99 80 32334 12237 35753
135 136 98 40735 8388 55515
136 117 82 91413 22120 209056
137 0 0 855 338 6622
138 88 60 97068 11727 115814
139 39 28 44339 3704 11609
140 25 9 14116 3988 13155
141 52 33 10288 3030 18274
142 75 59 65622 13520 72875
143 71 49 16563 1421 10112
144 124 115 76643 20923 142775
145 151 140 110681 20237 68847
146 71 49 29011 3219 17659
147 145 120 92696 3769 20112
148 87 66 94785 12252 61023
149 27 21 8773 1888 13983
150 131 124 83209 14497 65176
151 162 152 93815 28864 132432
152 165 139 86687 21721 112494
153 54 38 34553 4821 45109
154 159 144 105547 33644 170875
155 147 120 103487 15923 180759
156 170 160 213688 42935 214921
157 119 114 71220 18864 100226
158 49 39 23517 4977 32043
159 104 78 56926 7785 54454
160 120 119 91721 17939 78876
161 150 141 115168 23436 170745
162 112 101 111194 325 6940
163 59 56 51009 13539 49025
164 136 133 135777 34538 122037
165 107 83 51513 12198 53782
166 130 116 74163 26924 127748
167 115 90 51633 12716 86839
168 107 36 75345 8172 44830
169 75 50 33416 10855 77395
170 71 61 83305 11932 89324
171 120 97 98952 14300 103300
172 116 98 102372 25515 112283
173 79 78 37238 2805 10901
174 150 117 103772 29402 120691
175 156 148 123969 16440 58106
176 51 41 27142 11221 57140
177 118 105 135400 28732 122422
178 71 55 21399 5250 25899
179 144 132 130115 28608 139296
180 47 44 24874 8092 52678
181 28 21 34988 4473 23853
182 68 50 45549 1572 17306
183 0 0 6023 2065 7953
184 110 73 64466 14817 89455
185 147 86 54990 16714 147866
186 0 0 1644 556 4245
187 15 13 6179 2089 21509
188 4 4 3926 2658 7670
189 64 57 32755 10695 66675
190 111 48 34777 1669 14336
191 85 46 73224 16267 53608
192 68 48 27114 7768 30059
193 40 32 20760 7252 29668
194 80 68 37636 6387 22097
195 88 87 65461 18715 96841
196 48 43 30080 7936 41907
197 76 67 24094 8643 27080
198 51 46 69008 7294 35885
199 67 46 54968 4570 41247
200 59 56 46090 7185 28313
201 61 48 27507 10058 36845
202 76 44 10672 2342 16548
203 60 60 34029 8509 36134
204 68 65 46300 13275 55764
205 71 55 24760 6816 28910
206 76 38 18779 1930 13339
207 62 52 21280 8086 25319
208 61 60 40662 10737 66956
209 67 54 28987 8033 47487
210 88 86 22827 7058 52785
211 30 24 18513 6782 44683
212 64 52 30594 5401 35619
213 68 49 24006 6521 21920
214 64 61 27913 10856 45608
215 91 61 42744 2154 7721
216 88 81 12934 6117 20634
217 52 43 22574 5238 29788
218 49 40 41385 4820 31931
219 62 40 18653 5615 37754
220 61 56 18472 4272 32505
221 76 68 30976 8702 40557
222 88 79 63339 15340 94238
223 66 47 25568 8030 44197
224 71 57 33747 9526 43228
225 68 41 4154 1278 4103
226 48 29 19474 4236 44144
227 25 3 35130 3023 32868
228 68 60 39067 7196 27640
229 41 30 13310 3394 14063
230 90 79 65892 6371 28990
231 66 47 4143 1574 4694
232 54 40 28579 9620 42648
233 59 48 51776 6978 64329
234 60 36 21152 4911 21928
235 77 42 38084 8645 25836
236 68 49 27717 8987 22779
237 72 57 32928 5544 40820
238 67 12 11342 3083 27530
239 64 40 19499 6909 32378
240 63 43 16380 3189 10824
241 59 33 36874 6745 39613
242 84 77 48259 16724 60865
243 64 43 16734 4850 19787
244 56 45 28207 7025 20107
245 54 47 30143 6047 36605
246 67 43 41369 7377 40961
247 58 45 45833 9078 48231
248 59 50 29156 4605 39725
249 40 35 35944 3238 21455
250 22 7 36278 8100 23430
251 83 71 45588 9653 62991
252 81 67 45097 8914 49363
253 2 0 3895 786 9604
254 72 62 28394 6700 24552
255 61 54 18632 5788 31493
256 15 4 2325 593 3439
257 32 25 25139 4506 19555
258 62 40 27975 6382 21228
259 58 38 14483 5621 23177
260 36 19 13127 3997 22094
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262 68 67 24069 8891 38798
263 21 14 3738 999 3255
264 55 30 18625 7067 24261
265 54 54 36341 4639 18511
266 55 35 24548 5654 40798
267 72 59 21792 6928 28893
268 41 24 26263 1514 21425
269 61 58 23686 9238 50276
270 67 42 49303 8204 37643
271 76 46 25659 5926 30377
272 64 61 28904 5785 27126
273 3 3 2781 4 13
274 63 52 29236 5930 42097
275 40 25 19546 3710 24451
276 69 40 22818 705 14335
277 48 32 32689 443 5084
278 8 4 5752 2416 9927
279 52 49 22197 7747 43527
280 66 63 20055 5432 27184
281 76 67 25272 4913 21610
282 43 32 82206 2650 20484
283 39 23 32073 2370 20156
284 14 7 5444 775 6012
285 61 54 20154 5576 18475
286 71 37 36944 1352 12645
287 44 35 8019 3080 11017
288 60 51 30884 10205 37623
289 64 39 19540 6095 35873
tothyperlinks totblogs\r t
1 144 145 1
2 103 101 2
3 98 98 3
4 135 132 4
5 61 60 5
6 39 38 6
7 150 144 7
8 5 5 8
9 28 28 9
10 84 84 10
11 80 79 11
12 130 127 12
13 82 78 13
14 60 60 14
15 131 131 15
16 84 84 16
17 140 133 17
18 151 150 18
19 91 91 19
20 138 132 20
21 150 136 21
22 124 124 22
23 119 118 23
24 73 70 24
25 110 107 25
26 123 119 26
27 90 89 27
28 116 112 28
29 113 108 29
30 56 52 30
31 115 112 31
32 119 116 32
33 129 123 33
34 127 125 34
35 27 27 35
36 175 162 36
37 35 32 37
38 64 64 38
39 96 92 39
40 0 0 40
41 84 83 41
42 41 41 42
43 47 47 43
44 126 120 44
45 105 105 45
46 80 79 46
47 70 65 47
48 73 70 48
49 57 55 49
50 40 39 50
51 68 67 51
52 21 21 52
53 127 127 53
54 154 152 54
55 116 113 55
56 102 99 56
57 7 7 57
58 148 141 58
59 21 21 59
60 35 35 60
61 112 109 61
62 137 133 62
63 135 123 63
64 26 26 64
65 230 230 65
66 181 166 66
67 71 68 67
68 147 147 68
69 190 179 69
70 64 61 70
71 105 101 71
72 107 108 72
73 94 90 73
74 116 114 74
75 106 103 75
76 143 142 76
77 81 79 77
78 89 88 78
79 26 25 79
80 84 83 80
81 113 113 81
82 120 118 82
83 110 110 83
84 134 129 84
85 54 51 85
86 96 93 86
87 78 76 87
88 51 49 88
89 121 118 89
90 38 38 90
91 145 141 91
92 59 58 92
93 27 27 93
94 91 91 94
95 48 48 95
96 68 63 96
97 58 56 97
98 150 144 98
99 74 73 99
100 181 168 100
101 65 64 101
102 97 97 102
103 121 117 103
104 99 100 104
105 152 149 105
106 188 187 106
107 138 127 107
108 40 37 108
109 254 245 109
110 87 87 110
111 178 177 111
112 51 49 112
113 49 49 113
114 73 73 114
115 176 177 115
116 94 94 116
117 120 117 117
118 66 60 118
119 56 55 119
120 39 39 120
121 66 64 121
122 27 26 122
123 65 64 123
124 58 58 124
125 98 95 125
126 25 25 126
127 26 26 127
128 77 76 128
129 130 129 129
130 11 11 130
131 2 2 131
132 101 101 132
133 31 28 133
134 36 36 134
135 120 89 135
136 195 193 136
137 4 4 137
138 89 84 138
139 24 23 139
140 39 39 140
141 14 14 141
142 78 78 142
143 15 14 143
144 106 101 144
145 83 82 145
146 24 24 146
147 37 36 147
148 77 75 148
149 16 16 149
150 56 55 150
151 132 131 151
152 144 131 152
153 40 39 153
154 153 144 154
155 143 139 155
156 220 211 156
157 79 78 157
158 50 50 158
159 39 39 159
160 95 90 160
161 169 166 161
162 12 12 162
163 63 57 163
164 134 133 164
165 69 69 165
166 119 119 166
167 119 119 167
168 75 65 168
169 63 61 169
170 55 49 170
171 103 101 171
172 197 196 172
173 16 15 173
174 140 136 174
175 89 89 175
176 40 40 176
177 125 123 177
178 21 21 178
179 167 163 179
180 32 29 180
181 36 35 181
182 13 13 182
183 5 5 183
184 96 96 184
185 151 151 185
186 6 6 186
187 13 13 187
188 3 3 188
189 57 56 189
190 23 23 190
191 61 57 191
192 21 14 192
193 43 43 193
194 20 20 194
195 82 72 195
196 90 87 196
197 25 21 197
198 60 56 198
199 61 59 199
200 85 82 200
201 43 43 201
202 25 25 202
203 41 38 203
204 26 25 204
205 38 38 205
206 12 12 206
207 29 29 207
208 49 47 208
209 46 45 209
210 41 40 210
211 31 30 211
212 41 41 212
213 26 25 213
214 23 23 214
215 14 14 215
216 16 16 216
217 25 26 217
218 21 21 218
219 32 27 219
220 9 9 220
221 35 33 221
222 42 42 222
223 68 68 223
224 32 32 224
225 6 6 225
226 68 67 226
227 33 33 227
228 84 77 228
229 46 46 229
230 30 30 230
231 0 0 231
232 36 36 232
233 47 46 233
234 20 18 234
235 50 48 235
236 30 29 236
237 30 28 237
238 34 34 238
239 33 33 239
240 34 34 240
241 37 33 241
242 83 80 242
243 32 32 243
244 30 30 244
245 43 41 245
246 41 41 246
247 51 51 247
248 19 18 248
249 37 34 249
250 33 31 250
251 41 39 251
252 54 54 252
253 14 14 253
254 25 24 254
255 25 24 255
256 8 8 256
257 26 26 257
258 20 19 258
259 11 11 259
260 14 14 260
261 3 1 261
262 40 39 262
263 5 5 263
264 38 37 264
265 32 32 265
266 41 38 266
267 46 47 267
268 47 47 268
269 37 37 269
270 51 51 270
271 49 45 271
272 21 21 272
273 1 1 273
274 44 42 274
275 26 26 275
276 21 21 276
277 4 4 277
278 10 10 278
279 43 43 279
280 34 34 280
281 32 31 281
282 20 19 282
283 34 34 283
284 6 6 284
285 12 11 285
286 24 24 286
287 16 16 287
288 72 72 288
289 27 21 289
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) pageviews logins
-9437.5600 5.0350 176.1018
compendium_views_info compendium_views_pr shared_compendiums
113.7962 16.0210 -114.9774
blogged_computations compendiums_reviewed feedback_messages_p1
43.1976 -815.9969 353.6426
feedback_messages_p120 totsize totrevisions
191.0420 -0.1022 -0.8045
totseconds tothyperlinks `totblogs\\r`
0.8692 96.0070 -88.3276
t
17.5342
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-61576 -11517 470 9777 88013
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -9.438e+03 5.726e+03 -1.648 0.10045
pageviews 5.035e+00 8.183e+00 0.615 0.53886
logins 1.761e+02 6.106e+01 2.884 0.00424 **
compendium_views_info 1.138e+02 1.749e+01 6.506 3.68e-10 ***
compendium_views_pr 1.602e+01 3.315e+01 0.483 0.62923
shared_compendiums -1.150e+02 5.609e+02 -0.205 0.83773
blogged_computations 4.320e+01 9.196e+01 0.470 0.63890
compendiums_reviewed -8.160e+02 7.012e+02 -1.164 0.24557
feedback_messages_p1 3.536e+02 2.107e+02 1.678 0.09446 .
feedback_messages_p120 1.910e+02 1.041e+02 1.836 0.06744 .
totsize -1.022e-01 6.485e-02 -1.576 0.11626
totrevisions -8.045e-01 3.188e-01 -2.523 0.01219 *
totseconds 8.692e-01 7.197e-02 12.077 < 2e-16 ***
tothyperlinks 9.601e+01 4.369e+02 0.220 0.82624
`totblogs\\r` -8.833e+01 4.528e+02 -0.195 0.84548
t 1.753e+01 1.978e+01 0.886 0.37617
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 21540 on 273 degrees of freedom
Multiple R-squared: 0.9351, Adjusted R-squared: 0.9315
F-statistic: 262.3 on 15 and 273 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,] 0.5945930 8.108140e-01 4.054070e-01
[2,] 0.6928307 6.143387e-01 3.071693e-01
[3,] 0.6723134 6.553732e-01 3.276866e-01
[4,] 0.6293667 7.412665e-01 3.706333e-01
[5,] 0.6761007 6.477985e-01 3.238993e-01
[6,] 0.7259328 5.481344e-01 2.740672e-01
[7,] 0.9247819 1.504363e-01 7.521813e-02
[8,] 0.9648675 7.026493e-02 3.513246e-02
[9,] 0.9719675 5.606501e-02 2.803251e-02
[10,] 0.9748995 5.020102e-02 2.510051e-02
[11,] 0.9701531 5.969379e-02 2.984690e-02
[12,] 0.9604659 7.906811e-02 3.953405e-02
[13,] 0.9841232 3.175354e-02 1.587677e-02
[14,] 0.9776001 4.479979e-02 2.239990e-02
[15,] 0.9674973 6.500534e-02 3.250267e-02
[16,] 0.9551825 8.963497e-02 4.481748e-02
[17,] 0.9377356 1.245288e-01 6.226441e-02
[18,] 0.9226967 1.546066e-01 7.730332e-02
[19,] 0.8982521 2.034958e-01 1.017479e-01
[20,] 0.8694283 2.611433e-01 1.305717e-01
[21,] 0.9152384 1.695232e-01 8.476158e-02
[22,] 0.9272772 1.454456e-01 7.272281e-02
[23,] 0.9106299 1.787403e-01 8.937015e-02
[24,] 0.8916148 2.167704e-01 1.083852e-01
[25,] 0.8635880 2.728240e-01 1.364120e-01
[26,] 0.8327008 3.345984e-01 1.672992e-01
[27,] 0.8493373 3.013255e-01 1.506627e-01
[28,] 0.8277481 3.445039e-01 1.722519e-01
[29,] 0.7950757 4.098486e-01 2.049243e-01
[30,] 0.7591701 4.816598e-01 2.408299e-01
[31,] 0.7291583 5.416833e-01 2.708417e-01
[32,] 0.8866641 2.266718e-01 1.133359e-01
[33,] 0.9896963 2.060742e-02 1.030371e-02
[34,] 0.9891674 2.166515e-02 1.083258e-02
[35,] 0.9863964 2.720730e-02 1.360365e-02
[36,] 0.9953420 9.316068e-03 4.658034e-03
[37,] 0.9969305 6.138906e-03 3.069453e-03
[38,] 0.9963216 7.356716e-03 3.678358e-03
[39,] 0.9951891 9.621887e-03 4.810943e-03
[40,] 0.9971203 5.759332e-03 2.879666e-03
[41,] 0.9961207 7.758563e-03 3.879282e-03
[42,] 0.9948744 1.025120e-02 5.125598e-03
[43,] 0.9943097 1.138052e-02 5.690262e-03
[44,] 0.9933171 1.336590e-02 6.682948e-03
[45,] 0.9910023 1.799532e-02 8.997662e-03
[46,] 0.9883458 2.330833e-02 1.165417e-02
[47,] 0.9941381 1.172385e-02 5.861923e-03
[48,] 0.9928888 1.422232e-02 7.111162e-03
[49,] 0.9985463 2.907456e-03 1.453728e-03
[50,] 0.9980806 3.838757e-03 1.919379e-03
[51,] 0.9978790 4.241936e-03 2.120968e-03
[52,] 0.9976260 4.747961e-03 2.373980e-03
[53,] 0.9972470 5.505968e-03 2.752984e-03
[54,] 0.9970060 5.988091e-03 2.994046e-03
[55,] 0.9965250 6.950026e-03 3.475013e-03
[56,] 0.9953595 9.280971e-03 4.640486e-03
[57,] 0.9965338 6.932498e-03 3.466249e-03
[58,] 0.9962155 7.568927e-03 3.784464e-03
[59,] 0.9952036 9.592836e-03 4.796418e-03
[60,] 0.9940881 1.182384e-02 5.911921e-03
[61,] 0.9929688 1.406231e-02 7.031155e-03
[62,] 0.9909139 1.817218e-02 9.086088e-03
[63,] 0.9905850 1.883006e-02 9.415032e-03
[64,] 0.9878834 2.423325e-02 1.211662e-02
[65,] 0.9994115 1.177000e-03 5.884999e-04
[66,] 0.9992882 1.423509e-03 7.117547e-04
[67,] 0.9990162 1.967598e-03 9.837992e-04
[68,] 0.9986532 2.693697e-03 1.346848e-03
[69,] 0.9981997 3.600645e-03 1.800323e-03
[70,] 0.9977800 4.440002e-03 2.220001e-03
[71,] 0.9999540 9.209414e-05 4.604707e-05
[72,] 0.9999560 8.806449e-05 4.403225e-05
[73,] 0.9999753 4.932813e-05 2.466406e-05
[74,] 0.9999742 5.167618e-05 2.583809e-05
[75,] 0.9999650 6.994792e-05 3.497396e-05
[76,] 0.9999614 7.712401e-05 3.856200e-05
[77,] 0.9999478 1.043973e-04 5.219867e-05
[78,] 0.9999393 1.214381e-04 6.071907e-05
[79,] 0.9999205 1.589247e-04 7.946235e-05
[80,] 0.9999866 2.685454e-05 1.342727e-05
[81,] 0.9999832 3.355333e-05 1.677667e-05
[82,] 0.9999767 4.656121e-05 2.328060e-05
[83,] 0.9999662 6.751914e-05 3.375957e-05
[84,] 0.9999510 9.806400e-05 4.903200e-05
[85,] 0.9999736 5.272040e-05 2.636020e-05
[86,] 0.9999667 6.650877e-05 3.325439e-05
[87,] 0.9999523 9.541491e-05 4.770745e-05
[88,] 0.9999389 1.221891e-04 6.109456e-05
[89,] 0.9999709 5.819394e-05 2.909697e-05
[90,] 0.9999576 8.482397e-05 4.241198e-05
[91,] 0.9999433 1.134182e-04 5.670909e-05
[92,] 0.9999414 1.172839e-04 5.864196e-05
[93,] 0.9999402 1.195110e-04 5.975551e-05
[94,] 0.9999189 1.622885e-04 8.114425e-05
[95,] 0.9998901 2.197294e-04 1.098647e-04
[96,] 0.9998467 3.066992e-04 1.533496e-04
[97,] 0.9998167 3.666012e-04 1.833006e-04
[98,] 0.9997584 4.831591e-04 2.415795e-04
[99,] 0.9996651 6.697366e-04 3.348683e-04
[100,] 0.9998257 3.486022e-04 1.743011e-04
[101,] 0.9999797 4.063184e-05 2.031592e-05
[102,] 0.9999737 5.250391e-05 2.625195e-05
[103,] 0.9999622 7.568146e-05 3.784073e-05
[104,] 0.9999757 4.855460e-05 2.427730e-05
[105,] 0.9999776 4.479320e-05 2.239660e-05
[106,] 0.9999872 2.569959e-05 1.284980e-05
[107,] 0.9999876 2.479780e-05 1.239890e-05
[108,] 0.9999832 3.363904e-05 1.681952e-05
[109,] 0.9999767 4.656882e-05 2.328441e-05
[110,] 0.9999672 6.567311e-05 3.283655e-05
[111,] 0.9999918 1.631611e-05 8.158053e-06
[112,] 0.9999880 2.402893e-05 1.201446e-05
[113,] 0.9999824 3.525202e-05 1.762601e-05
[114,] 0.9999779 4.412535e-05 2.206268e-05
[115,] 0.9999712 5.765323e-05 2.882661e-05
[116,] 0.9999839 3.229934e-05 1.614967e-05
[117,] 0.9999790 4.206251e-05 2.103126e-05
[118,] 0.9999724 5.526001e-05 2.763000e-05
[119,] 0.9999599 8.022989e-05 4.011494e-05
[120,] 0.9999482 1.035866e-04 5.179332e-05
[121,] 0.9999390 1.219381e-04 6.096906e-05
[122,] 0.9999140 1.720550e-04 8.602749e-05
[123,] 0.9999033 1.934339e-04 9.671697e-05
[124,] 0.9998725 2.549487e-04 1.274743e-04
[125,] 0.9998706 2.587771e-04 1.293885e-04
[126,] 0.9999307 1.386037e-04 6.930186e-05
[127,] 0.9999532 9.350015e-05 4.675008e-05
[128,] 0.9999394 1.211609e-04 6.058047e-05
[129,] 0.9999614 7.714605e-05 3.857302e-05
[130,] 0.9999563 8.738028e-05 4.369014e-05
[131,] 0.9999476 1.047621e-04 5.238105e-05
[132,] 0.9999274 1.451658e-04 7.258289e-05
[133,] 0.9999398 1.203454e-04 6.017269e-05
[134,] 0.9999188 1.623144e-04 8.115721e-05
[135,] 0.9998974 2.052795e-04 1.026398e-04
[136,] 0.9998552 2.896632e-04 1.448316e-04
[137,] 0.9999115 1.770012e-04 8.850060e-05
[138,] 0.9998892 2.215504e-04 1.107752e-04
[139,] 0.9998452 3.096480e-04 1.548240e-04
[140,] 0.9998633 2.734449e-04 1.367224e-04
[141,] 0.9998941 2.118414e-04 1.059207e-04
[142,] 0.9998618 2.763073e-04 1.381536e-04
[143,] 0.9998126 3.748796e-04 1.874398e-04
[144,] 0.9997969 4.061178e-04 2.030589e-04
[145,] 0.9997859 4.281296e-04 2.140648e-04
[146,] 0.9997915 4.169595e-04 2.084797e-04
[147,] 0.9997774 4.452176e-04 2.226088e-04
[148,] 0.9997746 4.507338e-04 2.253669e-04
[149,] 0.9997075 5.850409e-04 2.925204e-04
[150,] 0.9996995 6.009013e-04 3.004506e-04
[151,] 0.9996091 7.818442e-04 3.909221e-04
[152,] 0.9999881 2.387762e-05 1.193881e-05
[153,] 0.9999839 3.228610e-05 1.614305e-05
[154,] 0.9999831 3.382452e-05 1.691226e-05
[155,] 0.9999951 9.750658e-06 4.875329e-06
[156,] 0.9999989 2.203865e-06 1.101933e-06
[157,] 0.9999992 1.673482e-06 8.367408e-07
[158,] 0.9999988 2.442779e-06 1.221389e-06
[159,] 0.9999988 2.492523e-06 1.246262e-06
[160,] 0.9999986 2.888761e-06 1.444381e-06
[161,] 0.9999978 4.309722e-06 2.154861e-06
[162,] 0.9999983 3.359902e-06 1.679951e-06
[163,] 0.9999976 4.898303e-06 2.449152e-06
[164,] 0.9999984 3.270713e-06 1.635357e-06
[165,] 0.9999974 5.226990e-06 2.613495e-06
[166,] 0.9999971 5.818967e-06 2.909484e-06
[167,] 0.9999966 6.859039e-06 3.429520e-06
[168,] 0.9999949 1.025190e-05 5.125950e-06
[169,] 0.9999932 1.363827e-05 6.819136e-06
[170,] 0.9999895 2.105661e-05 1.052830e-05
[171,] 0.9999856 2.876579e-05 1.438290e-05
[172,] 0.9999887 2.259638e-05 1.129819e-05
[173,] 0.9999997 6.838541e-07 3.419270e-07
[174,] 0.9999994 1.144207e-06 5.721033e-07
[175,] 0.9999991 1.818696e-06 9.093479e-07
[176,] 0.9999987 2.679696e-06 1.339848e-06
[177,] 0.9999986 2.756822e-06 1.378411e-06
[178,] 0.9999988 2.428762e-06 1.214381e-06
[179,] 0.9999985 3.080173e-06 1.540087e-06
[180,] 0.9999977 4.558693e-06 2.279346e-06
[181,] 0.9999977 4.574836e-06 2.287418e-06
[182,] 0.9999969 6.147345e-06 3.073672e-06
[183,] 0.9999959 8.275675e-06 4.137837e-06
[184,] 0.9999937 1.253449e-05 6.267246e-06
[185,] 0.9999937 1.251406e-05 6.257032e-06
[186,] 0.9999899 2.012585e-05 1.006292e-05
[187,] 0.9999858 2.842073e-05 1.421037e-05
[188,] 0.9999774 4.525136e-05 2.262568e-05
[189,] 0.9999669 6.621095e-05 3.310548e-05
[190,] 0.9999936 1.281516e-05 6.407580e-06
[191,] 0.9999974 5.127375e-06 2.563687e-06
[192,] 0.9999957 8.587271e-06 4.293635e-06
[193,] 0.9999944 1.118507e-05 5.592534e-06
[194,] 0.9999995 9.538656e-07 4.769328e-07
[195,] 0.9999994 1.260679e-06 6.303393e-07
[196,] 0.9999989 2.232061e-06 1.116031e-06
[197,] 0.9999982 3.546227e-06 1.773114e-06
[198,] 0.9999970 5.902187e-06 2.951093e-06
[199,] 0.9999980 3.946971e-06 1.973485e-06
[200,] 0.9999966 6.741647e-06 3.370823e-06
[201,] 0.9999942 1.167817e-05 5.839086e-06
[202,] 0.9999943 1.146948e-05 5.734738e-06
[203,] 0.9999906 1.881856e-05 9.409282e-06
[204,] 0.9999958 8.322586e-06 4.161293e-06
[205,] 0.9999960 7.904181e-06 3.952091e-06
[206,] 0.9999932 1.365265e-05 6.826325e-06
[207,] 0.9999886 2.287598e-05 1.143799e-05
[208,] 0.9999856 2.887745e-05 1.443872e-05
[209,] 0.9999845 3.100145e-05 1.550073e-05
[210,] 0.9999742 5.169788e-05 2.584894e-05
[211,] 0.9999629 7.422507e-05 3.711254e-05
[212,] 0.9999662 6.762887e-05 3.381444e-05
[213,] 0.9999529 9.420772e-05 4.710386e-05
[214,] 0.9999187 1.626947e-04 8.134733e-05
[215,] 0.9999995 1.090066e-06 5.450332e-07
[216,] 0.9999989 2.213571e-06 1.106786e-06
[217,] 0.9999979 4.285060e-06 2.142530e-06
[218,] 0.9999960 7.960374e-06 3.980187e-06
[219,] 1.0000000 5.375424e-09 2.687712e-09
[220,] 1.0000000 1.315458e-08 6.577290e-09
[221,] 1.0000000 3.297627e-08 1.648814e-08
[222,] 1.0000000 8.140718e-08 4.070359e-08
[223,] 0.9999999 1.251924e-07 6.259622e-08
[224,] 0.9999999 2.497451e-07 1.248725e-07
[225,] 0.9999997 5.811973e-07 2.905987e-07
[226,] 0.9999993 1.333100e-06 6.665498e-07
[227,] 0.9999985 3.095040e-06 1.547520e-06
[228,] 0.9999964 7.111829e-06 3.555914e-06
[229,] 0.9999962 7.649377e-06 3.824689e-06
[230,] 0.9999916 1.687519e-05 8.437597e-06
[231,] 0.9999905 1.906537e-05 9.532685e-06
[232,] 0.9999814 3.717656e-05 1.858828e-05
[233,] 0.9999679 6.416286e-05 3.208143e-05
[234,] 0.9999306 1.387833e-04 6.939164e-05
[235,] 0.9998510 2.980473e-04 1.490237e-04
[236,] 0.9996782 6.436175e-04 3.218087e-04
[237,] 0.9996264 7.471962e-04 3.735981e-04
[238,] 0.9992255 1.548912e-03 7.744560e-04
[239,] 0.9988516 2.296738e-03 1.148369e-03
[240,] 0.9992037 1.592514e-03 7.962570e-04
[241,] 0.9983364 3.327151e-03 1.663575e-03
[242,] 0.9971044 5.791246e-03 2.895623e-03
[243,] 0.9950211 9.957867e-03 4.978933e-03
[244,] 0.9900493 1.990130e-02 9.950651e-03
[245,] 0.9855996 2.880089e-02 1.440045e-02
[246,] 0.9906743 1.865144e-02 9.325720e-03
[247,] 0.9803535 3.929307e-02 1.964653e-02
[248,] 0.9773676 4.526487e-02 2.263244e-02
[249,] 0.9501348 9.973034e-02 4.986517e-02
[250,] 0.9066215 1.867569e-01 9.337846e-02
[251,] 0.9984126 3.174726e-03 1.587363e-03
[252,] 0.9979280 4.143998e-03 2.071999e-03
> postscript(file="/var/wessaorg/rcomp/tmp/1njjr1353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
> points(x[,1]-mysum$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/2ng2p1353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/3l9311353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/4dxte1353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/5fyv61353319398.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 6
22524.08798 -19049.18590 8899.09502 -39854.42987 13206.85550 -11984.14960
7 8 9 10 11 12
14796.92312 8426.92362 22564.05449 -16498.80835 19612.63513 -2105.98905
13 14 15 16 17 18
6526.37742 -2450.82089 41245.29140 8176.92208 -42914.47444 25449.52181
19 20 21 22 23 24
8675.89699 3681.18388 7506.35581 16882.60258 88013.27010 8717.10707
25 26 27 28 29 30
-20937.19821 -50662.53788 -36630.66115 -29238.26452 18289.10880 -2410.62399
31 32 33 34 35 36
-45728.67244 -7796.15791 -4263.74252 5461.37370 892.30655 3558.82619
37 38 39 40 41 42
6813.03300 8849.75097 37220.84746 2954.13911 11284.01392 24362.15295
43 44 45 46 47 48
-9969.24708 -3633.05932 -10205.67033 -463.89236 -11516.66994 -16709.95685
49 50 51 52 53 54
11448.89544 -53387.11028 40465.16067 -24100.01077 -3604.42757 -44460.52171
55 56 57 58 59 60
-37646.98069 -22098.81437 -12246.53486 32272.34594 581.13945 -8764.51219
61 62 63 64 65 66
9776.54070 2986.78711 5790.93305 5230.83005 -32334.14867 -15150.07400
67 68 69 70 71 72
48220.85006 -12076.16438 -28399.57656 -26696.91091 12434.71482 15151.26792
73 74 75 76 77 78
9481.52709 -4226.95675 -33171.37253 7046.03962 -15271.52337 -12338.44537
79 80 81 82 83 84
-14626.71725 2826.14338 10958.35261 -9533.76448 70199.14420 16069.52283
85 86 87 88 89 90
-868.22506 -5035.06975 2288.85480 -12077.50330 75272.30587 -18864.55971
91 92 93 94 95 96
37062.02088 -17767.48760 -12435.69098 19327.77499 10747.71909 9410.47726
97 98 99 100 101 102
17067.16970 -51439.72103 18539.93300 7293.15395 -2281.39230 4790.18276
103 104 105 106 107 108
32667.77200 12966.66728 6165.21891 -3014.39711 -31660.45522 280.40158
109 110 111 112 113 114
9280.39748 24267.87964 -16856.81887 -7037.17649 -8733.96120 4441.86213
115 116 117 118 119 120
-14642.64764 -9864.17043 5416.15513 35544.62465 -61575.74854 -8107.01265
121 122 123 124 125 126
1713.20407 -27180.19204 -28369.41916 -37753.88418 24319.40113 9661.20863
127 128 129 130 131 132
7262.04483 2054.82236 46890.34154 4144.84539 1394.20751 -13547.25460
133 134 135 136 137 138
14862.93086 -36672.92369 -4474.01954 -7437.53279 1077.15167 11897.99816
139 140 141 142 143 144
-10366.22564 -2213.88238 -17222.27944 -10829.37749 15853.72729 -34245.23200
145 146 147 148 149 150
30181.29242 -6961.25585 25527.46630 -14771.35931 -13633.47699 4565.51747
151 152 153 154 155 156
22851.61465 -6084.96544 -5722.86663 -3827.74821 -32525.76376 15876.61081
157 158 159 160 161 162
1920.89741 12528.04862 -24816.40522 9442.05596 -2313.83565 10541.36685
163 164 165 166 167 168
-1629.98308 20058.40247 -14414.80862 14184.50708 -13582.05310 25075.34978
169 170 171 172 173 174
1898.53014 73209.76794 7790.25124 9883.88179 45499.37568 29133.51239
175 176 177 178 179 180
-39419.91658 -2846.75659 -26108.53500 12858.43162 -285.91820 26884.50823
181 182 183 184 185 186
-11131.01660 -22298.22538 3594.12524 12138.16918 -973.38802 -109.21924
187 188 189 190 191 192
-3384.31312 8685.13950 -5321.80677 30985.20165 45314.73302 1343.14002
193 194 195 196 197 198
-10223.97705 -15261.43738 -21623.73455 11209.40855 -14417.92816 3420.04840
199 200 201 202 203 204
-22178.49163 3018.41689 5021.38160 6255.13766 22582.99680 -4944.21080
205 206 207 208 209 210
-23727.96049 -3807.03199 3798.80589 32311.76639 22431.44483 -4092.21601
211 212 213 214 215 216
-931.25398 30988.15242 378.48706 -3121.89250 -16561.05587 -14892.50688
217 218 219 220 221 222
-30043.89900 -8000.08089 -6765.81908 14287.10699 -17245.01097 -45089.25971
223 224 225 226 227 228
-41135.41710 -4482.78207 972.62061 1768.17170 11969.21276 -17124.96723
229 230 231 232 233 234
-6491.74951 -22842.94523 -10888.11295 -5857.53479 -47390.29679 -6653.12974
235 236 237 238 239 240
-14503.60331 469.87415 48761.84692 -12660.04755 -12433.07969 -13021.36899
241 242 243 244 245 246
4841.84047 3163.70469 -7617.15344 -2364.36904 -7755.60678 -10027.14952
247 248 249 250 251 252
-16994.86809 6612.27787 11702.37811 -9606.36323 2770.59968 1490.71903
253 254 255 256 257 258
5553.50598 4158.74174 -16138.56857 4347.51710 -8687.18215 19455.14547
259 260 261 262 263 264
9597.37430 735.18240 -8705.10687 43.32399 14247.43703 157.94071
265 266 267 268 269 270
-6750.79997 2456.46238 -14221.28108 -34.11583 32111.67627 -8479.04069
271 272 273 274 275 276
-1809.43715 1578.99116 5707.70370 3756.30154 8801.71997 -2034.53180
277 278 279 280 281 282
18785.13605 3488.07624 -9155.92588 11291.44095 1400.23558 29613.59491
283 284 285 286 287 288
9923.49655 10513.78497 4022.78901 4675.30911 6938.83049 -5378.62402
289
-10983.73711
> postscript(file="/var/wessaorg/rcomp/tmp/6rqgk1353319398.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 22524.08798 NA
1 -19049.18590 22524.08798
2 8899.09502 -19049.18590
3 -39854.42987 8899.09502
4 13206.85550 -39854.42987
5 -11984.14960 13206.85550
6 14796.92312 -11984.14960
7 8426.92362 14796.92312
8 22564.05449 8426.92362
9 -16498.80835 22564.05449
10 19612.63513 -16498.80835
11 -2105.98905 19612.63513
12 6526.37742 -2105.98905
13 -2450.82089 6526.37742
14 41245.29140 -2450.82089
15 8176.92208 41245.29140
16 -42914.47444 8176.92208
17 25449.52181 -42914.47444
18 8675.89699 25449.52181
19 3681.18388 8675.89699
20 7506.35581 3681.18388
21 16882.60258 7506.35581
22 88013.27010 16882.60258
23 8717.10707 88013.27010
24 -20937.19821 8717.10707
25 -50662.53788 -20937.19821
26 -36630.66115 -50662.53788
27 -29238.26452 -36630.66115
28 18289.10880 -29238.26452
29 -2410.62399 18289.10880
30 -45728.67244 -2410.62399
31 -7796.15791 -45728.67244
32 -4263.74252 -7796.15791
33 5461.37370 -4263.74252
34 892.30655 5461.37370
35 3558.82619 892.30655
36 6813.03300 3558.82619
37 8849.75097 6813.03300
38 37220.84746 8849.75097
39 2954.13911 37220.84746
40 11284.01392 2954.13911
41 24362.15295 11284.01392
42 -9969.24708 24362.15295
43 -3633.05932 -9969.24708
44 -10205.67033 -3633.05932
45 -463.89236 -10205.67033
46 -11516.66994 -463.89236
47 -16709.95685 -11516.66994
48 11448.89544 -16709.95685
49 -53387.11028 11448.89544
50 40465.16067 -53387.11028
51 -24100.01077 40465.16067
52 -3604.42757 -24100.01077
53 -44460.52171 -3604.42757
54 -37646.98069 -44460.52171
55 -22098.81437 -37646.98069
56 -12246.53486 -22098.81437
57 32272.34594 -12246.53486
58 581.13945 32272.34594
59 -8764.51219 581.13945
60 9776.54070 -8764.51219
61 2986.78711 9776.54070
62 5790.93305 2986.78711
63 5230.83005 5790.93305
64 -32334.14867 5230.83005
65 -15150.07400 -32334.14867
66 48220.85006 -15150.07400
67 -12076.16438 48220.85006
68 -28399.57656 -12076.16438
69 -26696.91091 -28399.57656
70 12434.71482 -26696.91091
71 15151.26792 12434.71482
72 9481.52709 15151.26792
73 -4226.95675 9481.52709
74 -33171.37253 -4226.95675
75 7046.03962 -33171.37253
76 -15271.52337 7046.03962
77 -12338.44537 -15271.52337
78 -14626.71725 -12338.44537
79 2826.14338 -14626.71725
80 10958.35261 2826.14338
81 -9533.76448 10958.35261
82 70199.14420 -9533.76448
83 16069.52283 70199.14420
84 -868.22506 16069.52283
85 -5035.06975 -868.22506
86 2288.85480 -5035.06975
87 -12077.50330 2288.85480
88 75272.30587 -12077.50330
89 -18864.55971 75272.30587
90 37062.02088 -18864.55971
91 -17767.48760 37062.02088
92 -12435.69098 -17767.48760
93 19327.77499 -12435.69098
94 10747.71909 19327.77499
95 9410.47726 10747.71909
96 17067.16970 9410.47726
97 -51439.72103 17067.16970
98 18539.93300 -51439.72103
99 7293.15395 18539.93300
100 -2281.39230 7293.15395
101 4790.18276 -2281.39230
102 32667.77200 4790.18276
103 12966.66728 32667.77200
104 6165.21891 12966.66728
105 -3014.39711 6165.21891
106 -31660.45522 -3014.39711
107 280.40158 -31660.45522
108 9280.39748 280.40158
109 24267.87964 9280.39748
110 -16856.81887 24267.87964
111 -7037.17649 -16856.81887
112 -8733.96120 -7037.17649
113 4441.86213 -8733.96120
114 -14642.64764 4441.86213
115 -9864.17043 -14642.64764
116 5416.15513 -9864.17043
117 35544.62465 5416.15513
118 -61575.74854 35544.62465
119 -8107.01265 -61575.74854
120 1713.20407 -8107.01265
121 -27180.19204 1713.20407
122 -28369.41916 -27180.19204
123 -37753.88418 -28369.41916
124 24319.40113 -37753.88418
125 9661.20863 24319.40113
126 7262.04483 9661.20863
127 2054.82236 7262.04483
128 46890.34154 2054.82236
129 4144.84539 46890.34154
130 1394.20751 4144.84539
131 -13547.25460 1394.20751
132 14862.93086 -13547.25460
133 -36672.92369 14862.93086
134 -4474.01954 -36672.92369
135 -7437.53279 -4474.01954
136 1077.15167 -7437.53279
137 11897.99816 1077.15167
138 -10366.22564 11897.99816
139 -2213.88238 -10366.22564
140 -17222.27944 -2213.88238
141 -10829.37749 -17222.27944
142 15853.72729 -10829.37749
143 -34245.23200 15853.72729
144 30181.29242 -34245.23200
145 -6961.25585 30181.29242
146 25527.46630 -6961.25585
147 -14771.35931 25527.46630
148 -13633.47699 -14771.35931
149 4565.51747 -13633.47699
150 22851.61465 4565.51747
151 -6084.96544 22851.61465
152 -5722.86663 -6084.96544
153 -3827.74821 -5722.86663
154 -32525.76376 -3827.74821
155 15876.61081 -32525.76376
156 1920.89741 15876.61081
157 12528.04862 1920.89741
158 -24816.40522 12528.04862
159 9442.05596 -24816.40522
160 -2313.83565 9442.05596
161 10541.36685 -2313.83565
162 -1629.98308 10541.36685
163 20058.40247 -1629.98308
164 -14414.80862 20058.40247
165 14184.50708 -14414.80862
166 -13582.05310 14184.50708
167 25075.34978 -13582.05310
168 1898.53014 25075.34978
169 73209.76794 1898.53014
170 7790.25124 73209.76794
171 9883.88179 7790.25124
172 45499.37568 9883.88179
173 29133.51239 45499.37568
174 -39419.91658 29133.51239
175 -2846.75659 -39419.91658
176 -26108.53500 -2846.75659
177 12858.43162 -26108.53500
178 -285.91820 12858.43162
179 26884.50823 -285.91820
180 -11131.01660 26884.50823
181 -22298.22538 -11131.01660
182 3594.12524 -22298.22538
183 12138.16918 3594.12524
184 -973.38802 12138.16918
185 -109.21924 -973.38802
186 -3384.31312 -109.21924
187 8685.13950 -3384.31312
188 -5321.80677 8685.13950
189 30985.20165 -5321.80677
190 45314.73302 30985.20165
191 1343.14002 45314.73302
192 -10223.97705 1343.14002
193 -15261.43738 -10223.97705
194 -21623.73455 -15261.43738
195 11209.40855 -21623.73455
196 -14417.92816 11209.40855
197 3420.04840 -14417.92816
198 -22178.49163 3420.04840
199 3018.41689 -22178.49163
200 5021.38160 3018.41689
201 6255.13766 5021.38160
202 22582.99680 6255.13766
203 -4944.21080 22582.99680
204 -23727.96049 -4944.21080
205 -3807.03199 -23727.96049
206 3798.80589 -3807.03199
207 32311.76639 3798.80589
208 22431.44483 32311.76639
209 -4092.21601 22431.44483
210 -931.25398 -4092.21601
211 30988.15242 -931.25398
212 378.48706 30988.15242
213 -3121.89250 378.48706
214 -16561.05587 -3121.89250
215 -14892.50688 -16561.05587
216 -30043.89900 -14892.50688
217 -8000.08089 -30043.89900
218 -6765.81908 -8000.08089
219 14287.10699 -6765.81908
220 -17245.01097 14287.10699
221 -45089.25971 -17245.01097
222 -41135.41710 -45089.25971
223 -4482.78207 -41135.41710
224 972.62061 -4482.78207
225 1768.17170 972.62061
226 11969.21276 1768.17170
227 -17124.96723 11969.21276
228 -6491.74951 -17124.96723
229 -22842.94523 -6491.74951
230 -10888.11295 -22842.94523
231 -5857.53479 -10888.11295
232 -47390.29679 -5857.53479
233 -6653.12974 -47390.29679
234 -14503.60331 -6653.12974
235 469.87415 -14503.60331
236 48761.84692 469.87415
237 -12660.04755 48761.84692
238 -12433.07969 -12660.04755
239 -13021.36899 -12433.07969
240 4841.84047 -13021.36899
241 3163.70469 4841.84047
242 -7617.15344 3163.70469
243 -2364.36904 -7617.15344
244 -7755.60678 -2364.36904
245 -10027.14952 -7755.60678
246 -16994.86809 -10027.14952
247 6612.27787 -16994.86809
248 11702.37811 6612.27787
249 -9606.36323 11702.37811
250 2770.59968 -9606.36323
251 1490.71903 2770.59968
252 5553.50598 1490.71903
253 4158.74174 5553.50598
254 -16138.56857 4158.74174
255 4347.51710 -16138.56857
256 -8687.18215 4347.51710
257 19455.14547 -8687.18215
258 9597.37430 19455.14547
259 735.18240 9597.37430
260 -8705.10687 735.18240
261 43.32399 -8705.10687
262 14247.43703 43.32399
263 157.94071 14247.43703
264 -6750.79997 157.94071
265 2456.46238 -6750.79997
266 -14221.28108 2456.46238
267 -34.11583 -14221.28108
268 32111.67627 -34.11583
269 -8479.04069 32111.67627
270 -1809.43715 -8479.04069
271 1578.99116 -1809.43715
272 5707.70370 1578.99116
273 3756.30154 5707.70370
274 8801.71997 3756.30154
275 -2034.53180 8801.71997
276 18785.13605 -2034.53180
277 3488.07624 18785.13605
278 -9155.92588 3488.07624
279 11291.44095 -9155.92588
280 1400.23558 11291.44095
281 29613.59491 1400.23558
282 9923.49655 29613.59491
283 10513.78497 9923.49655
284 4022.78901 10513.78497
285 4675.30911 4022.78901
286 6938.83049 4675.30911
287 -5378.62402 6938.83049
288 -10983.73711 -5378.62402
289 NA -10983.73711
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -19049.18590 22524.08798
[2,] 8899.09502 -19049.18590
[3,] -39854.42987 8899.09502
[4,] 13206.85550 -39854.42987
[5,] -11984.14960 13206.85550
[6,] 14796.92312 -11984.14960
[7,] 8426.92362 14796.92312
[8,] 22564.05449 8426.92362
[9,] -16498.80835 22564.05449
[10,] 19612.63513 -16498.80835
[11,] -2105.98905 19612.63513
[12,] 6526.37742 -2105.98905
[13,] -2450.82089 6526.37742
[14,] 41245.29140 -2450.82089
[15,] 8176.92208 41245.29140
[16,] -42914.47444 8176.92208
[17,] 25449.52181 -42914.47444
[18,] 8675.89699 25449.52181
[19,] 3681.18388 8675.89699
[20,] 7506.35581 3681.18388
[21,] 16882.60258 7506.35581
[22,] 88013.27010 16882.60258
[23,] 8717.10707 88013.27010
[24,] -20937.19821 8717.10707
[25,] -50662.53788 -20937.19821
[26,] -36630.66115 -50662.53788
[27,] -29238.26452 -36630.66115
[28,] 18289.10880 -29238.26452
[29,] -2410.62399 18289.10880
[30,] -45728.67244 -2410.62399
[31,] -7796.15791 -45728.67244
[32,] -4263.74252 -7796.15791
[33,] 5461.37370 -4263.74252
[34,] 892.30655 5461.37370
[35,] 3558.82619 892.30655
[36,] 6813.03300 3558.82619
[37,] 8849.75097 6813.03300
[38,] 37220.84746 8849.75097
[39,] 2954.13911 37220.84746
[40,] 11284.01392 2954.13911
[41,] 24362.15295 11284.01392
[42,] -9969.24708 24362.15295
[43,] -3633.05932 -9969.24708
[44,] -10205.67033 -3633.05932
[45,] -463.89236 -10205.67033
[46,] -11516.66994 -463.89236
[47,] -16709.95685 -11516.66994
[48,] 11448.89544 -16709.95685
[49,] -53387.11028 11448.89544
[50,] 40465.16067 -53387.11028
[51,] -24100.01077 40465.16067
[52,] -3604.42757 -24100.01077
[53,] -44460.52171 -3604.42757
[54,] -37646.98069 -44460.52171
[55,] -22098.81437 -37646.98069
[56,] -12246.53486 -22098.81437
[57,] 32272.34594 -12246.53486
[58,] 581.13945 32272.34594
[59,] -8764.51219 581.13945
[60,] 9776.54070 -8764.51219
[61,] 2986.78711 9776.54070
[62,] 5790.93305 2986.78711
[63,] 5230.83005 5790.93305
[64,] -32334.14867 5230.83005
[65,] -15150.07400 -32334.14867
[66,] 48220.85006 -15150.07400
[67,] -12076.16438 48220.85006
[68,] -28399.57656 -12076.16438
[69,] -26696.91091 -28399.57656
[70,] 12434.71482 -26696.91091
[71,] 15151.26792 12434.71482
[72,] 9481.52709 15151.26792
[73,] -4226.95675 9481.52709
[74,] -33171.37253 -4226.95675
[75,] 7046.03962 -33171.37253
[76,] -15271.52337 7046.03962
[77,] -12338.44537 -15271.52337
[78,] -14626.71725 -12338.44537
[79,] 2826.14338 -14626.71725
[80,] 10958.35261 2826.14338
[81,] -9533.76448 10958.35261
[82,] 70199.14420 -9533.76448
[83,] 16069.52283 70199.14420
[84,] -868.22506 16069.52283
[85,] -5035.06975 -868.22506
[86,] 2288.85480 -5035.06975
[87,] -12077.50330 2288.85480
[88,] 75272.30587 -12077.50330
[89,] -18864.55971 75272.30587
[90,] 37062.02088 -18864.55971
[91,] -17767.48760 37062.02088
[92,] -12435.69098 -17767.48760
[93,] 19327.77499 -12435.69098
[94,] 10747.71909 19327.77499
[95,] 9410.47726 10747.71909
[96,] 17067.16970 9410.47726
[97,] -51439.72103 17067.16970
[98,] 18539.93300 -51439.72103
[99,] 7293.15395 18539.93300
[100,] -2281.39230 7293.15395
[101,] 4790.18276 -2281.39230
[102,] 32667.77200 4790.18276
[103,] 12966.66728 32667.77200
[104,] 6165.21891 12966.66728
[105,] -3014.39711 6165.21891
[106,] -31660.45522 -3014.39711
[107,] 280.40158 -31660.45522
[108,] 9280.39748 280.40158
[109,] 24267.87964 9280.39748
[110,] -16856.81887 24267.87964
[111,] -7037.17649 -16856.81887
[112,] -8733.96120 -7037.17649
[113,] 4441.86213 -8733.96120
[114,] -14642.64764 4441.86213
[115,] -9864.17043 -14642.64764
[116,] 5416.15513 -9864.17043
[117,] 35544.62465 5416.15513
[118,] -61575.74854 35544.62465
[119,] -8107.01265 -61575.74854
[120,] 1713.20407 -8107.01265
[121,] -27180.19204 1713.20407
[122,] -28369.41916 -27180.19204
[123,] -37753.88418 -28369.41916
[124,] 24319.40113 -37753.88418
[125,] 9661.20863 24319.40113
[126,] 7262.04483 9661.20863
[127,] 2054.82236 7262.04483
[128,] 46890.34154 2054.82236
[129,] 4144.84539 46890.34154
[130,] 1394.20751 4144.84539
[131,] -13547.25460 1394.20751
[132,] 14862.93086 -13547.25460
[133,] -36672.92369 14862.93086
[134,] -4474.01954 -36672.92369
[135,] -7437.53279 -4474.01954
[136,] 1077.15167 -7437.53279
[137,] 11897.99816 1077.15167
[138,] -10366.22564 11897.99816
[139,] -2213.88238 -10366.22564
[140,] -17222.27944 -2213.88238
[141,] -10829.37749 -17222.27944
[142,] 15853.72729 -10829.37749
[143,] -34245.23200 15853.72729
[144,] 30181.29242 -34245.23200
[145,] -6961.25585 30181.29242
[146,] 25527.46630 -6961.25585
[147,] -14771.35931 25527.46630
[148,] -13633.47699 -14771.35931
[149,] 4565.51747 -13633.47699
[150,] 22851.61465 4565.51747
[151,] -6084.96544 22851.61465
[152,] -5722.86663 -6084.96544
[153,] -3827.74821 -5722.86663
[154,] -32525.76376 -3827.74821
[155,] 15876.61081 -32525.76376
[156,] 1920.89741 15876.61081
[157,] 12528.04862 1920.89741
[158,] -24816.40522 12528.04862
[159,] 9442.05596 -24816.40522
[160,] -2313.83565 9442.05596
[161,] 10541.36685 -2313.83565
[162,] -1629.98308 10541.36685
[163,] 20058.40247 -1629.98308
[164,] -14414.80862 20058.40247
[165,] 14184.50708 -14414.80862
[166,] -13582.05310 14184.50708
[167,] 25075.34978 -13582.05310
[168,] 1898.53014 25075.34978
[169,] 73209.76794 1898.53014
[170,] 7790.25124 73209.76794
[171,] 9883.88179 7790.25124
[172,] 45499.37568 9883.88179
[173,] 29133.51239 45499.37568
[174,] -39419.91658 29133.51239
[175,] -2846.75659 -39419.91658
[176,] -26108.53500 -2846.75659
[177,] 12858.43162 -26108.53500
[178,] -285.91820 12858.43162
[179,] 26884.50823 -285.91820
[180,] -11131.01660 26884.50823
[181,] -22298.22538 -11131.01660
[182,] 3594.12524 -22298.22538
[183,] 12138.16918 3594.12524
[184,] -973.38802 12138.16918
[185,] -109.21924 -973.38802
[186,] -3384.31312 -109.21924
[187,] 8685.13950 -3384.31312
[188,] -5321.80677 8685.13950
[189,] 30985.20165 -5321.80677
[190,] 45314.73302 30985.20165
[191,] 1343.14002 45314.73302
[192,] -10223.97705 1343.14002
[193,] -15261.43738 -10223.97705
[194,] -21623.73455 -15261.43738
[195,] 11209.40855 -21623.73455
[196,] -14417.92816 11209.40855
[197,] 3420.04840 -14417.92816
[198,] -22178.49163 3420.04840
[199,] 3018.41689 -22178.49163
[200,] 5021.38160 3018.41689
[201,] 6255.13766 5021.38160
[202,] 22582.99680 6255.13766
[203,] -4944.21080 22582.99680
[204,] -23727.96049 -4944.21080
[205,] -3807.03199 -23727.96049
[206,] 3798.80589 -3807.03199
[207,] 32311.76639 3798.80589
[208,] 22431.44483 32311.76639
[209,] -4092.21601 22431.44483
[210,] -931.25398 -4092.21601
[211,] 30988.15242 -931.25398
[212,] 378.48706 30988.15242
[213,] -3121.89250 378.48706
[214,] -16561.05587 -3121.89250
[215,] -14892.50688 -16561.05587
[216,] -30043.89900 -14892.50688
[217,] -8000.08089 -30043.89900
[218,] -6765.81908 -8000.08089
[219,] 14287.10699 -6765.81908
[220,] -17245.01097 14287.10699
[221,] -45089.25971 -17245.01097
[222,] -41135.41710 -45089.25971
[223,] -4482.78207 -41135.41710
[224,] 972.62061 -4482.78207
[225,] 1768.17170 972.62061
[226,] 11969.21276 1768.17170
[227,] -17124.96723 11969.21276
[228,] -6491.74951 -17124.96723
[229,] -22842.94523 -6491.74951
[230,] -10888.11295 -22842.94523
[231,] -5857.53479 -10888.11295
[232,] -47390.29679 -5857.53479
[233,] -6653.12974 -47390.29679
[234,] -14503.60331 -6653.12974
[235,] 469.87415 -14503.60331
[236,] 48761.84692 469.87415
[237,] -12660.04755 48761.84692
[238,] -12433.07969 -12660.04755
[239,] -13021.36899 -12433.07969
[240,] 4841.84047 -13021.36899
[241,] 3163.70469 4841.84047
[242,] -7617.15344 3163.70469
[243,] -2364.36904 -7617.15344
[244,] -7755.60678 -2364.36904
[245,] -10027.14952 -7755.60678
[246,] -16994.86809 -10027.14952
[247,] 6612.27787 -16994.86809
[248,] 11702.37811 6612.27787
[249,] -9606.36323 11702.37811
[250,] 2770.59968 -9606.36323
[251,] 1490.71903 2770.59968
[252,] 5553.50598 1490.71903
[253,] 4158.74174 5553.50598
[254,] -16138.56857 4158.74174
[255,] 4347.51710 -16138.56857
[256,] -8687.18215 4347.51710
[257,] 19455.14547 -8687.18215
[258,] 9597.37430 19455.14547
[259,] 735.18240 9597.37430
[260,] -8705.10687 735.18240
[261,] 43.32399 -8705.10687
[262,] 14247.43703 43.32399
[263,] 157.94071 14247.43703
[264,] -6750.79997 157.94071
[265,] 2456.46238 -6750.79997
[266,] -14221.28108 2456.46238
[267,] -34.11583 -14221.28108
[268,] 32111.67627 -34.11583
[269,] -8479.04069 32111.67627
[270,] -1809.43715 -8479.04069
[271,] 1578.99116 -1809.43715
[272,] 5707.70370 1578.99116
[273,] 3756.30154 5707.70370
[274,] 8801.71997 3756.30154
[275,] -2034.53180 8801.71997
[276,] 18785.13605 -2034.53180
[277,] 3488.07624 18785.13605
[278,] -9155.92588 3488.07624
[279,] 11291.44095 -9155.92588
[280,] 1400.23558 11291.44095
[281,] 29613.59491 1400.23558
[282,] 9923.49655 29613.59491
[283,] 10513.78497 9923.49655
[284,] 4022.78901 10513.78497
[285,] 4675.30911 4022.78901
[286,] 6938.83049 4675.30911
[287,] -5378.62402 6938.83049
[288,] -10983.73711 -5378.62402
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -19049.18590 22524.08798
2 8899.09502 -19049.18590
3 -39854.42987 8899.09502
4 13206.85550 -39854.42987
5 -11984.14960 13206.85550
6 14796.92312 -11984.14960
7 8426.92362 14796.92312
8 22564.05449 8426.92362
9 -16498.80835 22564.05449
10 19612.63513 -16498.80835
11 -2105.98905 19612.63513
12 6526.37742 -2105.98905
13 -2450.82089 6526.37742
14 41245.29140 -2450.82089
15 8176.92208 41245.29140
16 -42914.47444 8176.92208
17 25449.52181 -42914.47444
18 8675.89699 25449.52181
19 3681.18388 8675.89699
20 7506.35581 3681.18388
21 16882.60258 7506.35581
22 88013.27010 16882.60258
23 8717.10707 88013.27010
24 -20937.19821 8717.10707
25 -50662.53788 -20937.19821
26 -36630.66115 -50662.53788
27 -29238.26452 -36630.66115
28 18289.10880 -29238.26452
29 -2410.62399 18289.10880
30 -45728.67244 -2410.62399
31 -7796.15791 -45728.67244
32 -4263.74252 -7796.15791
33 5461.37370 -4263.74252
34 892.30655 5461.37370
35 3558.82619 892.30655
36 6813.03300 3558.82619
37 8849.75097 6813.03300
38 37220.84746 8849.75097
39 2954.13911 37220.84746
40 11284.01392 2954.13911
41 24362.15295 11284.01392
42 -9969.24708 24362.15295
43 -3633.05932 -9969.24708
44 -10205.67033 -3633.05932
45 -463.89236 -10205.67033
46 -11516.66994 -463.89236
47 -16709.95685 -11516.66994
48 11448.89544 -16709.95685
49 -53387.11028 11448.89544
50 40465.16067 -53387.11028
51 -24100.01077 40465.16067
52 -3604.42757 -24100.01077
53 -44460.52171 -3604.42757
54 -37646.98069 -44460.52171
55 -22098.81437 -37646.98069
56 -12246.53486 -22098.81437
57 32272.34594 -12246.53486
58 581.13945 32272.34594
59 -8764.51219 581.13945
60 9776.54070 -8764.51219
61 2986.78711 9776.54070
62 5790.93305 2986.78711
63 5230.83005 5790.93305
64 -32334.14867 5230.83005
65 -15150.07400 -32334.14867
66 48220.85006 -15150.07400
67 -12076.16438 48220.85006
68 -28399.57656 -12076.16438
69 -26696.91091 -28399.57656
70 12434.71482 -26696.91091
71 15151.26792 12434.71482
72 9481.52709 15151.26792
73 -4226.95675 9481.52709
74 -33171.37253 -4226.95675
75 7046.03962 -33171.37253
76 -15271.52337 7046.03962
77 -12338.44537 -15271.52337
78 -14626.71725 -12338.44537
79 2826.14338 -14626.71725
80 10958.35261 2826.14338
81 -9533.76448 10958.35261
82 70199.14420 -9533.76448
83 16069.52283 70199.14420
84 -868.22506 16069.52283
85 -5035.06975 -868.22506
86 2288.85480 -5035.06975
87 -12077.50330 2288.85480
88 75272.30587 -12077.50330
89 -18864.55971 75272.30587
90 37062.02088 -18864.55971
91 -17767.48760 37062.02088
92 -12435.69098 -17767.48760
93 19327.77499 -12435.69098
94 10747.71909 19327.77499
95 9410.47726 10747.71909
96 17067.16970 9410.47726
97 -51439.72103 17067.16970
98 18539.93300 -51439.72103
99 7293.15395 18539.93300
100 -2281.39230 7293.15395
101 4790.18276 -2281.39230
102 32667.77200 4790.18276
103 12966.66728 32667.77200
104 6165.21891 12966.66728
105 -3014.39711 6165.21891
106 -31660.45522 -3014.39711
107 280.40158 -31660.45522
108 9280.39748 280.40158
109 24267.87964 9280.39748
110 -16856.81887 24267.87964
111 -7037.17649 -16856.81887
112 -8733.96120 -7037.17649
113 4441.86213 -8733.96120
114 -14642.64764 4441.86213
115 -9864.17043 -14642.64764
116 5416.15513 -9864.17043
117 35544.62465 5416.15513
118 -61575.74854 35544.62465
119 -8107.01265 -61575.74854
120 1713.20407 -8107.01265
121 -27180.19204 1713.20407
122 -28369.41916 -27180.19204
123 -37753.88418 -28369.41916
124 24319.40113 -37753.88418
125 9661.20863 24319.40113
126 7262.04483 9661.20863
127 2054.82236 7262.04483
128 46890.34154 2054.82236
129 4144.84539 46890.34154
130 1394.20751 4144.84539
131 -13547.25460 1394.20751
132 14862.93086 -13547.25460
133 -36672.92369 14862.93086
134 -4474.01954 -36672.92369
135 -7437.53279 -4474.01954
136 1077.15167 -7437.53279
137 11897.99816 1077.15167
138 -10366.22564 11897.99816
139 -2213.88238 -10366.22564
140 -17222.27944 -2213.88238
141 -10829.37749 -17222.27944
142 15853.72729 -10829.37749
143 -34245.23200 15853.72729
144 30181.29242 -34245.23200
145 -6961.25585 30181.29242
146 25527.46630 -6961.25585
147 -14771.35931 25527.46630
148 -13633.47699 -14771.35931
149 4565.51747 -13633.47699
150 22851.61465 4565.51747
151 -6084.96544 22851.61465
152 -5722.86663 -6084.96544
153 -3827.74821 -5722.86663
154 -32525.76376 -3827.74821
155 15876.61081 -32525.76376
156 1920.89741 15876.61081
157 12528.04862 1920.89741
158 -24816.40522 12528.04862
159 9442.05596 -24816.40522
160 -2313.83565 9442.05596
161 10541.36685 -2313.83565
162 -1629.98308 10541.36685
163 20058.40247 -1629.98308
164 -14414.80862 20058.40247
165 14184.50708 -14414.80862
166 -13582.05310 14184.50708
167 25075.34978 -13582.05310
168 1898.53014 25075.34978
169 73209.76794 1898.53014
170 7790.25124 73209.76794
171 9883.88179 7790.25124
172 45499.37568 9883.88179
173 29133.51239 45499.37568
174 -39419.91658 29133.51239
175 -2846.75659 -39419.91658
176 -26108.53500 -2846.75659
177 12858.43162 -26108.53500
178 -285.91820 12858.43162
179 26884.50823 -285.91820
180 -11131.01660 26884.50823
181 -22298.22538 -11131.01660
182 3594.12524 -22298.22538
183 12138.16918 3594.12524
184 -973.38802 12138.16918
185 -109.21924 -973.38802
186 -3384.31312 -109.21924
187 8685.13950 -3384.31312
188 -5321.80677 8685.13950
189 30985.20165 -5321.80677
190 45314.73302 30985.20165
191 1343.14002 45314.73302
192 -10223.97705 1343.14002
193 -15261.43738 -10223.97705
194 -21623.73455 -15261.43738
195 11209.40855 -21623.73455
196 -14417.92816 11209.40855
197 3420.04840 -14417.92816
198 -22178.49163 3420.04840
199 3018.41689 -22178.49163
200 5021.38160 3018.41689
201 6255.13766 5021.38160
202 22582.99680 6255.13766
203 -4944.21080 22582.99680
204 -23727.96049 -4944.21080
205 -3807.03199 -23727.96049
206 3798.80589 -3807.03199
207 32311.76639 3798.80589
208 22431.44483 32311.76639
209 -4092.21601 22431.44483
210 -931.25398 -4092.21601
211 30988.15242 -931.25398
212 378.48706 30988.15242
213 -3121.89250 378.48706
214 -16561.05587 -3121.89250
215 -14892.50688 -16561.05587
216 -30043.89900 -14892.50688
217 -8000.08089 -30043.89900
218 -6765.81908 -8000.08089
219 14287.10699 -6765.81908
220 -17245.01097 14287.10699
221 -45089.25971 -17245.01097
222 -41135.41710 -45089.25971
223 -4482.78207 -41135.41710
224 972.62061 -4482.78207
225 1768.17170 972.62061
226 11969.21276 1768.17170
227 -17124.96723 11969.21276
228 -6491.74951 -17124.96723
229 -22842.94523 -6491.74951
230 -10888.11295 -22842.94523
231 -5857.53479 -10888.11295
232 -47390.29679 -5857.53479
233 -6653.12974 -47390.29679
234 -14503.60331 -6653.12974
235 469.87415 -14503.60331
236 48761.84692 469.87415
237 -12660.04755 48761.84692
238 -12433.07969 -12660.04755
239 -13021.36899 -12433.07969
240 4841.84047 -13021.36899
241 3163.70469 4841.84047
242 -7617.15344 3163.70469
243 -2364.36904 -7617.15344
244 -7755.60678 -2364.36904
245 -10027.14952 -7755.60678
246 -16994.86809 -10027.14952
247 6612.27787 -16994.86809
248 11702.37811 6612.27787
249 -9606.36323 11702.37811
250 2770.59968 -9606.36323
251 1490.71903 2770.59968
252 5553.50598 1490.71903
253 4158.74174 5553.50598
254 -16138.56857 4158.74174
255 4347.51710 -16138.56857
256 -8687.18215 4347.51710
257 19455.14547 -8687.18215
258 9597.37430 19455.14547
259 735.18240 9597.37430
260 -8705.10687 735.18240
261 43.32399 -8705.10687
262 14247.43703 43.32399
263 157.94071 14247.43703
264 -6750.79997 157.94071
265 2456.46238 -6750.79997
266 -14221.28108 2456.46238
267 -34.11583 -14221.28108
268 32111.67627 -34.11583
269 -8479.04069 32111.67627
270 -1809.43715 -8479.04069
271 1578.99116 -1809.43715
272 5707.70370 1578.99116
273 3756.30154 5707.70370
274 8801.71997 3756.30154
275 -2034.53180 8801.71997
276 18785.13605 -2034.53180
277 3488.07624 18785.13605
278 -9155.92588 3488.07624
279 11291.44095 -9155.92588
280 1400.23558 11291.44095
281 29613.59491 1400.23558
282 9923.49655 29613.59491
283 10513.78497 9923.49655
284 4022.78901 10513.78497
285 4675.30911 4022.78901
286 6938.83049 4675.30911
287 -5378.62402 6938.83049
288 -10983.73711 -5378.62402
> plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
> lines(lowess(z))
> abline(lm(z))
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/703hq1353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/8jlfh1353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/wessaorg/rcomp/tmp/9ss5u1353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/wessaorg/rcomp/tmp/10327n1353319398.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
+ myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
+ if (rownames(mysum$coefficients)[i] != '(Intercept)') {
+ myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
+ if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/11kien1353319398.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
+ a<-table.element(a,mysum$coefficients[i,1])
+ a<-table.element(a, round(mysum$coefficients[i,2],6))
+ a<-table.element(a, round(mysum$coefficients[i,3],4))
+ a<-table.element(a, round(mysum$coefficients[i,4],6))
+ a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/12aove1353319398.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, sqrt(mysum$r.squared))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'R-squared',1,TRUE)
> a<-table.element(a, mysum$r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Adjusted R-squared',1,TRUE)
> a<-table.element(a, mysum$adj.r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (value)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'p-value',1,TRUE)
> a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
> a<-table.element(a, mysum$sigma)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, sum(myerror*myerror))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/13al901353319398.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]-mysum$resid[i])
+ a<-table.element(a,mysum$resid[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/14sbml1353319398.tab")
> if (n > n25) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-values',header=TRUE)
+ a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'breakpoint index',header=TRUE)
+ a<-table.element(a,'greater',header=TRUE)
+ a<-table.element(a,'2-sided',header=TRUE)
+ a<-table.element(a,'less',header=TRUE)
+ a<-table.row.end(a)
+ for (mypoint in kp3:nmkm3) {
+ a<-table.row.start(a)
+ a<-table.element(a,mypoint,header=TRUE)
+ a<-table.element(a,gqarr[mypoint-kp3+1,1])
+ a<-table.element(a,gqarr[mypoint-kp3+1,2])
+ a<-table.element(a,gqarr[mypoint-kp3+1,3])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/15iv2f1353319398.tab")
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Description',header=TRUE)
+ a<-table.element(a,'# significant tests',header=TRUE)
+ a<-table.element(a,'% significant tests',header=TRUE)
+ a<-table.element(a,'OK/NOK',header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'1% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant1)
+ a<-table.element(a,numsignificant1/numgqtests)
+ if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'5% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant5)
+ a<-table.element(a,numsignificant5/numgqtests)
+ if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'10% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant10)
+ a<-table.element(a,numsignificant10/numgqtests)
+ if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/16fnfe1353319398.tab")
+ }
>
> try(system("convert tmp/1njjr1353319398.ps tmp/1njjr1353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ng2p1353319398.ps tmp/2ng2p1353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/3l9311353319398.ps tmp/3l9311353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/4dxte1353319398.ps tmp/4dxte1353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/5fyv61353319398.ps tmp/5fyv61353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/6rqgk1353319398.ps tmp/6rqgk1353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/703hq1353319398.ps tmp/703hq1353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/8jlfh1353319398.ps tmp/8jlfh1353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/9ss5u1353319398.ps tmp/9ss5u1353319398.png",intern=TRUE))
character(0)
> try(system("convert tmp/10327n1353319398.ps tmp/10327n1353319398.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
22.296 1.308 23.580