R version 2.12.1 (2010-12-16)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-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 = 'No Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '11'
> #'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
> 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
totsize pageviews time_in_rfc logins compendium_views_info
1 112285 1418 210907 56 396
2 84786 869 120982 56 297
3 83123 1530 176508 54 559
4 101193 2172 179321 89 967
5 38361 901 123185 40 270
6 68504 463 52746 25 143
7 119182 3201 385534 92 1562
8 22807 371 33170 18 109
9 17140 1192 101645 63 371
10 116174 1583 149061 44 656
11 57635 1439 165446 33 511
12 66198 1764 237213 84 655
13 71701 1495 173326 88 465
14 57793 1373 133131 55 525
15 80444 2187 258873 60 885
16 53855 1491 180083 66 497
17 97668 4041 324799 154 1436
18 133824 1706 230964 53 612
19 101481 2152 236785 119 865
20 99645 1036 135473 41 385
21 114789 1882 202925 61 567
22 99052 1929 215147 58 639
23 67654 2242 344297 75 963
24 65553 1220 153935 33 398
25 97500 1289 132943 40 410
26 69112 2515 174724 92 966
27 82753 2147 174415 100 801
28 85323 2352 225548 112 892
29 72654 1638 223632 73 513
30 30727 1222 124817 40 469
31 77873 1812 221698 45 683
32 117478 1677 210767 60 643
33 74007 1579 170266 62 535
34 90183 1731 260561 75 625
35 61542 807 84853 31 264
36 101494 2452 294424 77 992
37 27570 829 101011 34 238
38 55813 1940 215641 46 818
39 79215 2662 325107 99 937
40 1423 186 7176 17 70
41 55461 1499 167542 66 507
42 31081 865 106408 30 260
43 22996 1793 96560 76 503
44 83122 2527 265769 146 927
45 70106 2747 269651 67 1269
46 60578 1324 149112 56 537
47 39992 2702 175824 107 910
48 79892 1383 152871 58 532
49 49810 1179 111665 34 345
50 71570 2099 116408 61 918
51 100708 4308 362301 119 1635
52 33032 918 78800 42 330
53 82875 1831 183167 66 557
54 139077 3373 277965 89 1178
55 71595 1713 150629 44 740
56 72260 1438 168809 66 452
57 5950 496 24188 24 218
58 115762 2253 329267 259 764
59 32551 744 65029 17 255
60 31701 1161 101097 64 454
61 80670 2352 218946 41 866
62 143558 2144 244052 68 574
63 117105 4691 341570 168 1276
64 23789 1112 103597 43 379
65 120733 2694 233328 132 825
66 105195 1973 256462 105 798
67 73107 1769 206161 71 663
68 132068 3148 311473 112 1069
69 149193 2474 235800 94 921
70 46821 2084 177939 82 858
71 87011 1954 207176 70 711
72 95260 1226 196553 57 503
73 55183 1389 174184 53 382
74 106671 1496 143246 103 464
75 73511 2269 187559 121 717
76 92945 1833 187681 62 690
77 78664 1268 119016 52 462
78 70054 1943 182192 52 657
79 22618 893 73566 32 385
80 74011 1762 194979 62 577
81 83737 1403 167488 45 619
82 69094 1425 143756 46 479
83 93133 1857 275541 63 817
84 95536 1840 243199 75 752
85 225920 1502 182999 88 430
86 62133 1441 135649 46 451
87 61370 1420 152299 53 537
88 43836 1416 120221 37 519
89 106117 2970 346485 90 1000
90 38692 1317 145790 63 637
91 84651 1644 193339 78 465
92 56622 870 80953 25 437
93 15986 1654 122774 45 711
94 95364 1054 130585 46 299
95 26706 937 112611 41 248
96 89691 3004 286468 144 1162
97 67267 2008 241066 82 714
98 126846 2547 148446 91 905
99 41140 1885 204713 71 649
100 102860 1626 182079 63 512
101 51715 1468 140344 53 472
102 55801 2445 220516 62 905
103 111813 1964 243060 63 786
104 120293 1381 162765 32 489
105 138599 1369 182613 39 479
106 161647 1659 232138 62 617
107 115929 2888 265318 117 925
108 24266 1290 85574 34 351
109 162901 2845 310839 92 1144
110 109825 1982 225060 93 669
111 129838 1904 232317 54 707
112 37510 1391 144966 144 458
113 43750 602 43287 14 214
114 40652 1743 155754 61 599
115 87771 1559 164709 109 572
116 85872 2014 201940 38 897
117 89275 2143 235454 73 819
118 44418 2146 220801 75 720
119 192565 874 99466 50 273
120 35232 1590 92661 61 508
121 40909 1590 133328 55 506
122 13294 1210 61361 77 451
123 32387 2072 125930 75 699
124 140867 1281 100750 72 407
125 120662 1401 224549 50 465
126 21233 834 82316 32 245
127 44332 1105 102010 53 370
128 61056 1272 101523 42 316
129 101338 1944 243511 71 603
130 1168 391 22938 10 154
131 13497 761 41566 35 229
132 65567 1605 152474 65 577
133 25162 530 61857 25 192
134 32334 1988 99923 66 617
135 40735 1386 132487 41 411
136 91413 2395 317394 86 975
137 855 387 21054 16 146
138 97068 1742 209641 42 705
139 44339 620 22648 19 184
140 14116 449 31414 19 200
141 10288 800 46698 45 274
142 65622 1684 131698 65 502
143 16563 1050 91735 35 382
144 76643 2699 244749 95 964
145 110681 1606 184510 49 537
146 29011 1502 79863 37 438
147 92696 1204 128423 64 369
148 94785 1138 97839 38 417
149 8773 568 38214 34 276
150 83209 1459 151101 32 514
151 93815 2158 272458 65 822
152 86687 1111 172494 52 389
153 34553 1421 108043 62 466
154 105547 2833 328107 65 1255
155 103487 1955 250579 83 694
156 213688 2922 351067 95 1024
157 71220 1002 158015 29 400
158 23517 1060 98866 18 397
159 56926 956 85439 33 350
160 91721 2186 229242 247 719
161 115168 3604 351619 139 1277
162 111194 1035 84207 29 356
163 51009 1417 120445 118 457
164 135777 3261 324598 110 1402
165 51513 1587 131069 67 600
166 74163 1424 204271 42 480
167 51633 1701 165543 65 595
168 75345 1249 141722 94 436
169 33416 946 116048 64 230
170 83305 1926 250047 81 651
171 98952 3352 299775 95 1367
172 102372 1641 195838 67 564
173 37238 2035 173260 63 716
174 103772 2312 254488 83 747
175 123969 1369 104389 45 467
176 27142 1577 136084 30 671
177 135400 2201 199476 70 861
178 21399 961 92499 32 319
179 130115 1900 224330 83 612
180 24874 1254 135781 31 433
181 34988 1335 74408 67 434
182 45549 1597 81240 66 503
183 6023 207 14688 10 85
184 64466 1645 181633 70 564
185 54990 2429 271856 103 824
186 1644 151 7199 5 74
187 6179 474 46660 20 259
188 3926 141 17547 5 69
189 32755 1639 133368 36 535
190 34777 872 95227 34 239
191 73224 1318 152601 48 438
192 27114 1018 98146 40 459
193 20760 1383 79619 43 426
194 37636 1314 59194 31 288
195 65461 1335 139942 42 498
196 30080 1403 118612 46 454
197 24094 910 72880 33 376
198 69008 616 65475 18 225
199 54968 1407 99643 55 555
200 46090 771 71965 35 252
201 27507 766 77272 59 208
202 10672 473 49289 19 130
203 34029 1376 135131 66 481
204 46300 1232 108446 60 389
205 24760 1521 89746 36 565
206 18779 572 44296 25 173
207 21280 1059 77648 47 278
208 40662 1544 181528 54 609
209 28987 1230 134019 53 422
210 22827 1206 124064 40 445
211 18513 1205 92630 40 387
212 30594 1255 121848 39 339
213 24006 613 52915 14 181
214 27913 721 81872 45 245
215 42744 1109 58981 36 384
216 12934 740 53515 28 212
217 22574 1126 60812 44 399
218 41385 728 56375 30 229
219 18653 689 65490 22 224
220 18472 592 80949 17 203
221 30976 995 76302 31 333
222 63339 1613 104011 55 384
223 25568 2048 98104 54 636
224 33747 705 67989 21 185
225 4154 301 30989 14 93
226 19474 1803 135458 81 581
227 35130 799 73504 35 248
228 39067 861 63123 43 304
229 13310 1186 61254 46 344
230 65892 1451 74914 30 407
231 4143 628 31774 23 170
232 28579 1161 81437 38 312
233 51776 1463 87186 54 507
234 21152 742 50090 20 224
235 38084 979 65745 53 340
236 27717 675 56653 45 168
237 32928 1241 158399 39 443
238 11342 676 46455 20 204
239 19499 1049 73624 24 367
240 16380 620 38395 31 210
241 36874 1081 91899 35 335
242 48259 1688 139526 151 364
243 16734 736 52164 52 178
244 28207 617 51567 30 206
245 30143 812 70551 31 279
246 41369 1051 84856 29 387
247 45833 1656 102538 57 490
248 29156 705 86678 40 238
249 35944 945 85709 44 343
250 36278 554 34662 25 232
251 45588 1597 150580 77 530
252 45097 982 99611 35 291
253 3895 222 19349 11 67
254 28394 1212 99373 63 397
255 18632 1143 86230 44 467
256 2325 435 30837 19 178
257 25139 532 31706 13 175
258 27975 882 89806 42 299
259 14483 608 62088 38 154
260 13127 459 40151 29 106
261 5839 578 27634 20 189
262 24069 826 76990 27 194
263 3738 509 37460 20 135
264 18625 717 54157 19 201
265 36341 637 49862 37 207
266 24548 857 84337 26 280
267 21792 830 64175 42 260
268 26263 652 59382 49 227
269 23686 707 119308 30 239
270 49303 954 76702 49 333
271 25659 1461 103425 67 428
272 28904 672 70344 28 230
273 2781 778 43410 19 292
274 29236 1141 104838 49 350
275 19546 680 62215 27 186
276 22818 1090 69304 30 326
277 32689 616 53117 22 155
278 5752 285 19764 12 75
279 22197 1145 86680 31 361
280 20055 733 84105 20 261
281 25272 888 77945 20 299
282 82206 849 89113 39 300
283 32073 1182 91005 29 450
284 5444 528 40248 16 183
285 20154 642 64187 27 238
286 36944 947 50857 21 165
287 8019 819 56613 19 234
288 30884 757 62792 35 176
289 19540 894 72535 14 329
compendium_views_pr shared_compendiums blogged_computations
1 81 3 79
2 55 4 58
3 50 12 60
4 125 2 108
5 40 1 49
6 37 3 0
7 63 0 121
8 44 0 1
9 88 0 20
10 66 5 43
11 57 0 69
12 74 0 78
13 49 7 86
14 52 7 44
15 88 3 104
16 36 9 63
17 108 0 158
18 43 4 102
19 75 3 77
20 32 0 82
21 44 7 115
22 85 0 101
23 86 1 80
24 56 5 50
25 50 7 83
26 135 0 123
27 63 0 73
28 81 5 81
29 52 0 105
30 44 0 47
31 113 0 105
32 39 3 94
33 73 4 44
34 48 1 114
35 33 4 38
36 59 2 107
37 41 0 30
38 69 0 71
39 64 0 84
40 1 0 0
41 59 2 59
42 32 1 33
43 129 0 42
44 37 2 96
45 31 10 106
46 65 6 56
47 107 0 57
48 74 5 59
49 54 4 39
50 76 1 34
51 715 2 76
52 57 2 20
53 66 0 91
54 106 8 115
55 54 3 85
56 32 0 76
57 20 0 8
58 71 8 79
59 21 5 21
60 70 3 30
61 112 1 76
62 66 5 101
63 190 1 94
64 66 1 27
65 165 5 92
66 56 0 123
67 61 12 75
68 53 8 128
69 127 8 105
70 63 8 55
71 38 8 56
72 50 2 41
73 52 0 72
74 42 5 67
75 76 8 75
76 67 2 114
77 50 5 118
78 53 12 77
79 39 6 22
80 50 7 66
81 77 2 69
82 57 0 105
83 73 4 116
84 34 3 88
85 39 6 73
86 46 2 99
87 63 0 62
88 35 1 53
89 106 0 118
90 43 5 30
91 47 2 100
92 31 0 49
93 162 0 24
94 57 5 67
95 36 0 46
96 263 1 57
97 78 0 75
98 63 1 135
99 54 1 68
100 63 2 124
101 77 6 33
102 79 1 98
103 110 4 58
104 56 2 68
105 56 3 81
106 43 0 131
107 111 10 110
108 71 0 37
109 62 9 130
110 56 7 93
111 74 0 118
112 60 0 39
113 43 4 13
114 68 4 74
115 53 0 81
116 87 0 109
117 46 0 151
118 105 1 51
119 32 0 28
120 133 1 40
121 79 0 56
122 51 0 27
123 207 4 37
124 67 0 83
125 47 4 54
126 34 4 27
127 66 3 28
128 76 0 59
129 65 0 133
130 9 0 12
131 42 5 0
132 45 0 106
133 25 4 23
134 115 0 44
135 97 0 71
136 53 1 116
137 2 0 4
138 52 5 62
139 44 0 12
140 22 0 18
141 35 0 14
142 74 0 60
143 103 0 7
144 144 2 98
145 60 7 64
146 134 1 29
147 89 8 32
148 42 2 25
149 52 0 16
150 98 2 48
151 99 0 100
152 52 0 46
153 29 1 45
154 125 3 129
155 106 0 130
156 95 3 136
157 40 0 59
158 140 0 25
159 43 0 32
160 128 4 63
161 142 4 95
162 73 11 14
163 72 0 36
164 128 0 113
165 61 4 47
166 73 0 92
167 148 1 70
168 64 0 19
169 45 0 50
170 58 0 41
171 97 9 91
172 50 1 111
173 37 3 41
174 50 10 120
175 105 5 135
176 69 0 27
177 46 2 87
178 57 0 25
179 52 1 131
180 98 2 45
181 61 4 29
182 89 0 58
183 0 0 4
184 48 2 47
185 91 1 109
186 0 0 7
187 7 0 12
188 3 0 0
189 54 1 37
190 70 0 37
191 36 2 46
192 37 0 15
193 123 3 42
194 247 6 7
195 46 0 54
196 72 2 54
197 41 0 14
198 24 2 16
199 45 1 33
200 33 1 32
201 27 2 21
202 36 1 15
203 87 0 38
204 90 1 22
205 114 3 28
206 31 0 10
207 45 0 31
208 69 0 32
209 51 0 32
210 34 1 43
211 60 4 27
212 45 0 37
213 54 0 20
214 25 0 32
215 38 7 0
216 52 2 5
217 67 0 26
218 74 7 10
219 38 3 27
220 30 0 11
221 26 0 29
222 67 6 25
223 132 2 55
224 42 0 23
225 35 0 5
226 118 3 43
227 68 0 23
228 43 1 34
229 76 1 36
230 64 0 35
231 48 1 0
232 64 0 37
233 56 0 28
234 71 0 16
235 75 0 26
236 39 0 38
237 42 0 23
238 39 0 22
239 93 0 30
240 38 0 16
241 60 0 18
242 71 0 28
243 52 0 32
244 27 2 21
245 59 0 23
246 40 1 29
247 79 1 50
248 44 0 12
249 65 0 21
250 10 0 18
251 124 0 27
252 81 0 41
253 15 0 13
254 92 1 12
255 42 0 21
256 10 0 8
257 24 0 26
258 64 0 27
259 45 1 13
260 22 0 16
261 56 0 2
262 94 0 42
263 19 0 5
264 35 0 37
265 32 0 17
266 35 0 38
267 48 0 37
268 49 0 29
269 48 0 32
270 62 0 35
271 96 1 17
272 45 0 20
273 63 0 7
274 71 1 46
275 26 0 24
276 48 6 40
277 29 3 3
278 19 1 10
279 45 2 37
280 45 0 17
281 67 0 28
282 30 0 19
283 36 3 29
284 34 1 8
285 36 0 10
286 34 0 15
287 37 1 15
288 46 0 28
289 44 0 17
compendiums_reviewed feedback_messages_p1 feedback_messages_p120
1 30 115 94
2 28 109 103
3 38 146 93
4 30 116 103
5 22 68 51
6 26 101 70
7 25 96 91
8 18 67 22
9 11 44 38
10 26 100 93
11 25 93 60
12 38 140 123
13 44 166 148
14 30 99 90
15 40 139 124
16 34 130 70
17 47 181 168
18 30 116 115
19 31 116 71
20 23 88 66
21 36 139 134
22 36 135 117
23 30 108 108
24 25 89 84
25 39 156 156
26 34 129 120
27 31 118 114
28 31 118 94
29 33 125 120
30 25 95 81
31 33 126 110
32 35 135 133
33 42 154 122
34 43 165 158
35 30 113 109
36 33 127 124
37 13 52 39
38 32 121 92
39 36 136 126
40 0 0 0
41 28 108 70
42 14 46 37
43 17 54 38
44 32 124 120
45 30 115 93
46 35 128 95
47 20 80 77
48 28 97 90
49 28 104 80
50 39 59 31
51 34 125 110
52 26 82 66
53 39 149 138
54 39 149 133
55 33 122 113
56 28 118 100
57 4 12 7
58 39 144 140
59 18 67 61
60 14 52 41
61 29 108 96
62 44 166 164
63 21 80 78
64 16 60 49
65 28 107 102
66 35 127 124
67 28 107 99
68 38 146 129
69 23 84 62
70 36 141 73
71 32 123 114
72 29 111 99
73 25 98 70
74 27 105 104
75 36 135 116
76 28 107 91
77 23 85 74
78 40 155 138
79 23 88 67
80 40 155 151
81 28 104 72
82 34 132 120
83 33 127 115
84 28 108 105
85 34 129 104
86 30 116 108
87 33 122 98
88 22 85 69
89 38 147 111
90 26 99 99
91 35 87 71
92 8 28 27
93 24 90 69
94 29 109 107
95 20 78 73
96 29 111 107
97 45 158 93
98 37 141 129
99 33 122 69
100 33 124 118
101 25 93 73
102 32 124 119
103 29 112 104
104 28 108 107
105 28 99 99
106 31 117 90
107 52 199 197
108 21 78 36
109 24 91 85
110 41 158 139
111 33 126 106
112 32 122 50
113 19 71 64
114 20 75 31
115 31 115 63
116 31 119 92
117 32 124 106
118 18 72 63
119 23 91 69
120 17 45 41
121 20 78 56
122 12 39 25
123 17 68 65
124 30 119 93
125 31 117 114
126 10 39 38
127 13 50 44
128 22 88 87
129 42 155 110
130 1 0 0
131 9 36 27
132 32 123 83
133 11 32 30
134 25 99 80
135 36 136 98
136 31 117 82
137 0 0 0
138 24 88 60
139 13 39 28
140 8 25 9
141 13 52 33
142 19 75 59
143 18 71 49
144 33 124 115
145 40 151 140
146 22 71 49
147 38 145 120
148 24 87 66
149 8 27 21
150 35 131 124
151 43 162 152
152 43 165 139
153 14 54 38
154 41 159 144
155 38 147 120
156 45 170 160
157 31 119 114
158 13 49 39
159 28 104 78
160 31 120 119
161 40 150 141
162 30 112 101
163 16 59 56
164 37 136 133
165 30 107 83
166 35 130 116
167 32 115 90
168 27 107 36
169 20 75 50
170 18 71 61
171 31 120 97
172 31 116 98
173 21 79 78
174 39 150 117
175 41 156 148
176 13 51 41
177 32 118 105
178 18 71 55
179 39 144 132
180 14 47 44
181 7 28 21
182 17 68 50
183 0 0 0
184 30 110 73
185 37 147 86
186 0 0 0
187 5 15 13
188 1 4 4
189 16 64 57
190 32 111 48
191 24 85 46
192 17 68 48
193 11 40 32
194 24 80 68
195 22 88 87
196 12 48 43
197 19 76 67
198 13 51 46
199 17 67 46
200 15 59 56
201 16 61 48
202 24 76 44
203 15 60 60
204 17 68 65
205 18 71 55
206 20 76 38
207 16 62 52
208 16 61 60
209 18 67 54
210 22 88 86
211 8 30 24
212 17 64 52
213 18 68 49
214 16 64 61
215 23 91 61
216 22 88 81
217 13 52 43
218 13 49 40
219 16 62 40
220 16 61 56
221 20 76 68
222 22 88 79
223 17 66 47
224 18 71 57
225 17 68 41
226 12 48 29
227 7 25 3
228 17 68 60
229 14 41 30
230 23 90 79
231 17 66 47
232 14 54 40
233 15 59 48
234 17 60 36
235 21 77 42
236 18 68 49
237 18 72 57
238 17 67 12
239 17 64 40
240 16 63 43
241 15 59 33
242 21 84 77
243 16 64 43
244 14 56 45
245 15 54 47
246 17 67 43
247 15 58 45
248 15 59 50
249 10 40 35
250 6 22 7
251 22 83 71
252 21 81 67
253 1 2 0
254 18 72 62
255 17 61 54
256 4 15 4
257 10 32 25
258 16 62 40
259 16 58 38
260 9 36 19
261 16 59 17
262 17 68 67
263 7 21 14
264 15 55 30
265 14 54 54
266 14 55 35
267 18 72 59
268 12 41 24
269 16 61 58
270 21 67 42
271 19 76 46
272 16 64 61
273 1 3 3
274 16 63 52
275 10 40 25
276 19 69 40
277 12 48 32
278 2 8 4
279 14 52 49
280 17 66 63
281 19 76 67
282 14 43 32
283 11 39 23
284 4 14 7
285 16 61 54
286 20 71 37
287 12 44 35
288 15 60 51
289 16 64 39
totrevisions totseconds tothyperlinks totblogs
1 24188 146283 144 145
2 18273 98364 103 101
3 14130 86146 98 98
4 32287 96933 135 132
5 8654 79234 61 60
6 9245 42551 39 38
7 33251 195663 150 144
8 1271 6853 5 5
9 5279 21529 28 28
10 27101 95757 84 84
11 16373 85584 80 79
12 19716 143983 130 127
13 17753 75851 82 78
14 9028 59238 60 60
15 18653 93163 131 131
16 8828 96037 84 84
17 29498 151511 140 133
18 27563 136368 151 150
19 18293 112642 91 91
20 22530 94728 138 132
21 15977 105499 150 136
22 35082 121527 124 124
23 16116 127766 119 118
24 15849 98958 73 70
25 16026 77900 110 107
26 26569 85646 123 119
27 24785 98579 90 89
28 17569 130767 116 112
29 23825 131741 113 108
30 7869 53907 56 52
31 14975 178812 115 112
32 37791 146761 119 116
33 9605 82036 129 123
34 27295 163253 127 125
35 2746 27032 27 27
36 34461 171975 175 162
37 8098 65990 35 32
38 4787 86572 64 64
39 24919 159676 96 92
40 603 1929 0 0
41 16329 85371 84 83
42 12558 58391 41 41
43 7784 31580 47 47
44 28522 136815 126 120
45 22265 120642 105 105
46 14459 69107 80 79
47 14526 50495 70 65
48 22240 108016 73 70
49 11802 46341 57 55
50 7623 78348 40 39
51 11912 79336 68 67
52 7935 56968 21 21
53 18220 93176 127 127
54 19199 161632 154 152
55 19918 87850 116 113
56 21884 127969 102 99
57 2694 15049 7 7
58 15808 155135 148 141
59 3597 25109 21 21
60 5296 45824 35 35
61 25239 102996 112 109
62 29801 160604 137 133
63 18450 158051 135 123
64 7132 44547 26 26
65 34861 162647 230 230
66 35940 174141 181 166
67 16688 60622 71 68
68 24683 179566 147 147
69 46230 184301 190 179
70 10387 75661 64 61
71 21436 96144 105 101
72 30546 129847 107 108
73 19746 117286 94 90
74 15977 71180 116 114
75 22583 109377 106 103
76 17274 85298 143 142
77 16469 73631 81 79
78 14251 86767 89 88
79 3007 23824 26 25
80 16851 93487 84 83
81 21113 82981 113 113
82 17401 73815 120 118
83 23958 94552 110 110
84 23567 132190 134 129
85 13065 128754 54 51
86 15358 66363 96 93
87 14587 67808 78 76
88 12770 61724 51 49
89 24021 131722 121 118
90 9648 68580 38 38
91 20537 106175 145 141
92 7905 55792 59 58
93 4527 25157 27 27
94 30495 76669 91 91
95 7117 57283 48 48
96 17719 105805 68 63
97 27056 129484 58 56
98 33473 72413 150 144
99 9758 87831 74 73
100 21115 96971 181 168
101 7236 71299 65 64
102 13790 77494 97 97
103 32902 120336 121 117
104 25131 93913 99 100
105 30910 136048 152 149
106 35947 181248 188 187
107 29848 146123 138 127
108 6943 32036 40 37
109 42705 186646 254 245
110 31808 102255 87 87
111 26675 168237 178 177
112 8435 64219 51 49
113 7409 19630 49 49
114 14993 76825 73 73
115 36867 115338 176 177
116 33835 109427 94 94
117 24164 118168 120 117
118 12607 84845 66 60
119 22609 153197 56 55
120 5892 29877 39 39
121 17014 63506 66 64
122 5394 22445 27 26
123 9178 47695 65 64
124 6440 68370 58 58
125 21916 146304 98 95
126 4011 38233 25 25
127 5818 42071 26 26
128 18647 50517 77 76
129 20556 103950 130 129
130 238 5841 11 11
131 70 2341 2 2
132 22392 84396 101 101
133 3913 24610 31 28
134 12237 35753 36 36
135 8388 55515 120 89
136 22120 209056 195 193
137 338 6622 4 4
138 11727 115814 89 84
139 3704 11609 24 23
140 3988 13155 39 39
141 3030 18274 14 14
142 13520 72875 78 78
143 1421 10112 15 14
144 20923 142775 106 101
145 20237 68847 83 82
146 3219 17659 24 24
147 3769 20112 37 36
148 12252 61023 77 75
149 1888 13983 16 16
150 14497 65176 56 55
151 28864 132432 132 131
152 21721 112494 144 131
153 4821 45109 40 39
154 33644 170875 153 144
155 15923 180759 143 139
156 42935 214921 220 211
157 18864 100226 79 78
158 4977 32043 50 50
159 7785 54454 39 39
160 17939 78876 95 90
161 23436 170745 169 166
162 325 6940 12 12
163 13539 49025 63 57
164 34538 122037 134 133
165 12198 53782 69 69
166 26924 127748 119 119
167 12716 86839 119 119
168 8172 44830 75 65
169 10855 77395 63 61
170 11932 89324 55 49
171 14300 103300 103 101
172 25515 112283 197 196
173 2805 10901 16 15
174 29402 120691 140 136
175 16440 58106 89 89
176 11221 57140 40 40
177 28732 122422 125 123
178 5250 25899 21 21
179 28608 139296 167 163
180 8092 52678 32 29
181 4473 23853 36 35
182 1572 17306 13 13
183 2065 7953 5 5
184 14817 89455 96 96
185 16714 147866 151 151
186 556 4245 6 6
187 2089 21509 13 13
188 2658 7670 3 3
189 10695 66675 57 56
190 1669 14336 23 23
191 16267 53608 61 57
192 7768 30059 21 14
193 7252 29668 43 43
194 6387 22097 20 20
195 18715 96841 82 72
196 7936 41907 90 87
197 8643 27080 25 21
198 7294 35885 60 56
199 4570 41247 61 59
200 7185 28313 85 82
201 10058 36845 43 43
202 2342 16548 25 25
203 8509 36134 41 38
204 13275 55764 26 25
205 6816 28910 38 38
206 1930 13339 12 12
207 8086 25319 29 29
208 10737 66956 49 47
209 8033 47487 46 45
210 7058 52785 41 40
211 6782 44683 31 30
212 5401 35619 41 41
213 6521 21920 26 25
214 10856 45608 23 23
215 2154 7721 14 14
216 6117 20634 16 16
217 5238 29788 25 26
218 4820 31931 21 21
219 5615 37754 32 27
220 4272 32505 9 9
221 8702 40557 35 33
222 15340 94238 42 42
223 8030 44197 68 68
224 9526 43228 32 32
225 1278 4103 6 6
226 4236 44144 68 67
227 3023 32868 33 33
228 7196 27640 84 77
229 3394 14063 46 46
230 6371 28990 30 30
231 1574 4694 0 0
232 9620 42648 36 36
233 6978 64329 47 46
234 4911 21928 20 18
235 8645 25836 50 48
236 8987 22779 30 29
237 5544 40820 30 28
238 3083 27530 34 34
239 6909 32378 33 33
240 3189 10824 34 34
241 6745 39613 37 33
242 16724 60865 83 80
243 4850 19787 32 32
244 7025 20107 30 30
245 6047 36605 43 41
246 7377 40961 41 41
247 9078 48231 51 51
248 4605 39725 19 18
249 3238 21455 37 34
250 8100 23430 33 31
251 9653 62991 41 39
252 8914 49363 54 54
253 786 9604 14 14
254 6700 24552 25 24
255 5788 31493 25 24
256 593 3439 8 8
257 4506 19555 26 26
258 6382 21228 20 19
259 5621 23177 11 11
260 3997 22094 14 14
261 520 2342 3 1
262 8891 38798 40 39
263 999 3255 5 5
264 7067 24261 38 37
265 4639 18511 32 32
266 5654 40798 41 38
267 6928 28893 46 47
268 1514 21425 47 47
269 9238 50276 37 37
270 8204 37643 51 51
271 5926 30377 49 45
272 5785 27126 21 21
273 4 13 1 1
274 5930 42097 44 42
275 3710 24451 26 26
276 705 14335 21 21
277 443 5084 4 4
278 2416 9927 10 10
279 7747 43527 43 43
280 5432 27184 34 34
281 4913 21610 32 31
282 2650 20484 20 19
283 2370 20156 34 34
284 775 6012 6 6
285 5576 18475 12 11
286 1352 12645 24 24
287 3080 11017 16 16
288 10205 37623 72 72
289 6095 35873 27 21
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Call:
lm(formula = df)
Coefficients:
(Intercept) pageviews time_in_rfc
1046.85044 0.72345 -0.08485
logins compendium_views_info compendium_views_pr
39.75784 -7.71169 40.06514
shared_compendiums blogged_computations compendiums_reviewed
2166.01565 47.61852 886.23668
feedback_messages_p1 feedback_messages_p120 totrevisions
-198.87838 187.16938 1.00593
totseconds tothyperlinks totblogs
0.36978 18.18514 55.13571
> (mysum <- summary(mylm))
Call:
lm(formula = df)
Residuals:
Min 1Q Median 3Q Max
-35704 -11474 -3683 8165 132608
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1046.85044 3275.40858 0.320 0.749508
pageviews 0.72345 7.52564 0.096 0.923486
time_in_rfc -0.08485 0.05598 -1.516 0.130720
logins 39.75784 57.40904 0.693 0.489187
compendium_views_info -7.71169 17.26933 -0.447 0.655550
compendium_views_pr 40.06514 30.70711 1.305 0.193072
shared_compendiums 2166.01565 493.97916 4.385 1.66e-05 ***
blogged_computations 47.61852 85.17113 0.559 0.576555
compendiums_reviewed 886.23668 641.42927 1.382 0.168202
feedback_messages_p1 -198.87838 194.96261 -1.020 0.308588
feedback_messages_p120 187.16938 96.56789 1.938 0.053624 .
totrevisions 1.00593 0.29369 3.425 0.000709 ***
totseconds 0.36978 0.07852 4.709 3.95e-06 ***
tothyperlinks 18.18514 406.38324 0.045 0.964340
totblogs 55.13571 421.16916 0.131 0.895942
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 20040 on 274 degrees of freedom
Multiple R-squared: 0.7663, Adjusted R-squared: 0.7543
F-statistic: 64.16 on 14 and 274 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,] 0.2183073928 4.366148e-01 7.816926e-01
[2,] 0.1644663165 3.289326e-01 8.355337e-01
[3,] 0.0826251108 1.652502e-01 9.173749e-01
[4,] 0.4170847189 8.341694e-01 5.829153e-01
[5,] 0.3775630532 7.551261e-01 6.224369e-01
[6,] 0.2762473631 5.524947e-01 7.237526e-01
[7,] 0.1944009260 3.888019e-01 8.055991e-01
[8,] 0.1500114855 3.000230e-01 8.499885e-01
[9,] 0.1018819174 2.037638e-01 8.981181e-01
[10,] 0.0885333567 1.770667e-01 9.114666e-01
[11,] 0.0574494270 1.148989e-01 9.425506e-01
[12,] 0.0396550182 7.931004e-02 9.603450e-01
[13,] 0.0304402287 6.088046e-02 9.695598e-01
[14,] 0.0510687256 1.021375e-01 9.489313e-01
[15,] 0.0364578683 7.291574e-02 9.635421e-01
[16,] 0.0240755432 4.815109e-02 9.759245e-01
[17,] 0.0166690026 3.333801e-02 9.833310e-01
[18,] 0.0278742737 5.574855e-02 9.721257e-01
[19,] 0.0327870344 6.557407e-02 9.672130e-01
[20,] 0.0272719799 5.454396e-02 9.727280e-01
[21,] 0.0198628583 3.972572e-02 9.801371e-01
[22,] 0.0145250395 2.905008e-02 9.854750e-01
[23,] 0.0214847246 4.296945e-02 9.785153e-01
[24,] 0.0170808166 3.416163e-02 9.829192e-01
[25,] 0.0130454458 2.609089e-02 9.869546e-01
[26,] 0.0089486713 1.789734e-02 9.910513e-01
[27,] 0.0071207659 1.424153e-02 9.928792e-01
[28,] 0.0244922556 4.898451e-02 9.755077e-01
[29,] 0.0189430927 3.788619e-02 9.810569e-01
[30,] 0.0140520407 2.810408e-02 9.859480e-01
[31,] 0.0106823648 2.136473e-02 9.893176e-01
[32,] 0.0074311047 1.486221e-02 9.925689e-01
[33,] 0.0105117171 2.102343e-02 9.894883e-01
[34,] 0.0157048042 3.140961e-02 9.842952e-01
[35,] 0.0134525239 2.690505e-02 9.865475e-01
[36,] 0.0095083772 1.901675e-02 9.904916e-01
[37,] 0.0109707902 2.194158e-02 9.890292e-01
[38,] 0.0114017481 2.280350e-02 9.885983e-01
[39,] 0.0086146242 1.722925e-02 9.913854e-01
[40,] 0.0062016490 1.240330e-02 9.937984e-01
[41,] 0.0061255703 1.225114e-02 9.938744e-01
[42,] 0.0042628531 8.525706e-03 9.957371e-01
[43,] 0.0029941266 5.988253e-03 9.970059e-01
[44,] 0.0021139120 4.227824e-03 9.978861e-01
[45,] 0.0024635930 4.927186e-03 9.975364e-01
[46,] 0.0025111718 5.022344e-03 9.974888e-01
[47,] 0.0018193373 3.638675e-03 9.981807e-01
[48,] 0.0053764528 1.075291e-02 9.946235e-01
[49,] 0.0051284853 1.025697e-02 9.948715e-01
[50,] 0.0037687376 7.537475e-03 9.962313e-01
[51,] 0.0030058854 6.011771e-03 9.969941e-01
[52,] 0.0020940129 4.188026e-03 9.979060e-01
[53,] 0.0020210891 4.042178e-03 9.979789e-01
[54,] 0.0015304914 3.060983e-03 9.984695e-01
[55,] 0.0010701357 2.140271e-03 9.989299e-01
[56,] 0.0009566743 1.913349e-03 9.990433e-01
[57,] 0.0017563771 3.512754e-03 9.982436e-01
[58,] 0.0034093712 6.818742e-03 9.965906e-01
[59,] 0.0032649013 6.529803e-03 9.967351e-01
[60,] 0.0027752955 5.550591e-03 9.972247e-01
[61,] 0.0043004798 8.600960e-03 9.956995e-01
[62,] 0.0038030061 7.606012e-03 9.961970e-01
[63,] 0.0037039999 7.408000e-03 9.962960e-01
[64,] 0.0029830964 5.966193e-03 9.970169e-01
[65,] 0.0021974616 4.394923e-03 9.978025e-01
[66,] 0.0017531672 3.506334e-03 9.982468e-01
[67,] 0.0012919306 2.583861e-03 9.987081e-01
[68,] 0.9739033183 5.219336e-02 2.609668e-02
[69,] 0.9687170662 6.256587e-02 3.128293e-02
[70,] 0.9624627881 7.507442e-02 3.753721e-02
[71,] 0.9550932981 8.981340e-02 4.490670e-02
[72,] 0.9559903496 8.801930e-02 4.400965e-02
[73,] 0.9610090496 7.798190e-02 3.899095e-02
[74,] 0.9573675593 8.526488e-02 4.263244e-02
[75,] 0.9568939709 8.621206e-02 4.310603e-02
[76,] 0.9491225975 1.017548e-01 5.087740e-02
[77,] 0.9392810371 1.214379e-01 6.071896e-02
[78,] 0.9358260933 1.283478e-01 6.417391e-02
[79,] 0.9350918491 1.298163e-01 6.490815e-02
[80,] 0.9406525598 1.186949e-01 5.934744e-02
[81,] 0.9544489688 9.110206e-02 4.555103e-02
[82,] 0.9511360217 9.772796e-02 4.886398e-02
[83,] 0.9427612795 1.144774e-01 5.723872e-02
[84,] 0.9355651564 1.288697e-01 6.443484e-02
[85,] 0.9264716393 1.470567e-01 7.352836e-02
[86,] 0.9194736911 1.610526e-01 8.052631e-02
[87,] 0.9448296907 1.103406e-01 5.517031e-02
[88,] 0.9490004738 1.019991e-01 5.099953e-02
[89,] 0.9638366583 7.232668e-02 3.616334e-02
[90,] 0.9777808911 4.443822e-02 2.221911e-02
[91,] 0.9726742095 5.465158e-02 2.732579e-02
[92,] 0.9689915355 6.201693e-02 3.100846e-02
[93,] 0.9640675928 7.186481e-02 3.593241e-02
[94,] 0.9611437979 7.771240e-02 3.885620e-02
[95,] 0.9581187052 8.376259e-02 4.188129e-02
[96,] 0.9500643889 9.987122e-02 4.993561e-02
[97,] 0.9514137749 9.717245e-02 4.858623e-02
[98,] 0.9471391377 1.057217e-01 5.286086e-02
[99,] 0.9374318846 1.251362e-01 6.256812e-02
[100,] 0.9260441465 1.479117e-01 7.395585e-02
[101,] 0.9137118223 1.725764e-01 8.628818e-02
[102,] 0.9997117298 5.765404e-04 2.882702e-04
[103,] 0.9996062704 7.874593e-04 3.937296e-04
[104,] 0.9994970956 1.005809e-03 5.029044e-04
[105,] 0.9994248432 1.150314e-03 5.751568e-04
[106,] 0.9994000388 1.199922e-03 5.999612e-04
[107,] 0.9999994219 1.156290e-06 5.781451e-07
[108,] 0.9999994384 1.123264e-06 5.616318e-07
[109,] 0.9999992843 1.431326e-06 7.156629e-07
[110,] 0.9999990116 1.976811e-06 9.884053e-07
[111,] 0.9999985401 2.919832e-06 1.459916e-06
[112,] 0.9999982261 3.547804e-06 1.773902e-06
[113,] 0.9999973369 5.326269e-06 2.663134e-06
[114,] 0.9999961623 7.675407e-06 3.837703e-06
[115,] 0.9999949653 1.006939e-05 5.034697e-06
[116,] 0.9999939400 1.211992e-05 6.059960e-06
[117,] 0.9999917815 1.643697e-05 8.218485e-06
[118,] 0.9999967927 6.414591e-06 3.207295e-06
[119,] 0.9999972204 5.559129e-06 2.779565e-06
[120,] 0.9999957888 8.422430e-06 4.211215e-06
[121,] 0.9999963473 7.305304e-06 3.652652e-06
[122,] 0.9999966128 6.774430e-06 3.387215e-06
[123,] 0.9999949497 1.010054e-05 5.050272e-06
[124,] 0.9999927197 1.456052e-05 7.280259e-06
[125,] 0.9999923904 1.521922e-05 7.609612e-06
[126,] 0.9999891301 2.173986e-05 1.086993e-05
[127,] 0.9999917181 1.656370e-05 8.281852e-06
[128,] 0.9999920240 1.595209e-05 7.976046e-06
[129,] 0.9999884247 2.315061e-05 1.157530e-05
[130,] 0.9999950206 9.958715e-06 4.979358e-06
[131,] 0.9999985608 2.878460e-06 1.439230e-06
[132,] 0.9999978642 4.271511e-06 2.135755e-06
[133,] 0.9999974312 5.137522e-06 2.568761e-06
[134,] 0.9999967315 6.536910e-06 3.268455e-06
[135,] 0.9999971447 5.710600e-06 2.855300e-06
[136,] 0.9999956771 8.645839e-06 4.322919e-06
[137,] 0.9999981943 3.611488e-06 1.805744e-06
[138,] 0.9999977055 4.589083e-06 2.294541e-06
[139,] 0.9999999102 1.796446e-07 8.982231e-08
[140,] 0.9999998581 2.837707e-07 1.418853e-07
[141,] 0.9999997938 4.123120e-07 2.061560e-07
[142,] 0.9999997217 5.566213e-07 2.783106e-07
[143,] 0.9999996165 7.670428e-07 3.835214e-07
[144,] 0.9999994072 1.185696e-06 5.928482e-07
[145,] 0.9999999963 7.393781e-09 3.696890e-09
[146,] 0.9999999948 1.041328e-08 5.206641e-09
[147,] 0.9999999967 6.623118e-09 3.311559e-09
[148,] 0.9999999966 6.716676e-09 3.358338e-09
[149,] 0.9999999964 7.100222e-09 3.550111e-09
[150,] 0.9999999963 7.455314e-09 3.727657e-09
[151,] 0.9999999993 1.369205e-09 6.846027e-10
[152,] 0.9999999992 1.636854e-09 8.184271e-10
[153,] 0.9999999999 1.477511e-10 7.387553e-11
[154,] 0.9999999999 2.190841e-10 1.095421e-10
[155,] 0.9999999998 3.990233e-10 1.995116e-10
[156,] 0.9999999997 5.919290e-10 2.959645e-10
[157,] 0.9999999998 4.858556e-10 2.429278e-10
[158,] 0.9999999999 1.211039e-10 6.055195e-11
[159,] 0.9999999999 1.748533e-10 8.742667e-11
[160,] 1.0000000000 4.639241e-11 2.319621e-11
[161,] 1.0000000000 8.895010e-11 4.447505e-11
[162,] 1.0000000000 3.249298e-11 1.624649e-11
[163,] 1.0000000000 4.559026e-11 2.279513e-11
[164,] 1.0000000000 8.240439e-11 4.120219e-11
[165,] 1.0000000000 1.696289e-11 8.481446e-12
[166,] 1.0000000000 3.358294e-11 1.679147e-11
[167,] 1.0000000000 6.322986e-11 3.161493e-11
[168,] 1.0000000000 3.753636e-11 1.876818e-11
[169,] 1.0000000000 7.398518e-11 3.699259e-11
[170,] 0.9999999999 1.059731e-10 5.298654e-11
[171,] 0.9999999999 2.009244e-10 1.004622e-10
[172,] 0.9999999999 2.085018e-10 1.042509e-10
[173,] 0.9999999998 3.260076e-10 1.630038e-10
[174,] 0.9999999999 2.420759e-10 1.210380e-10
[175,] 0.9999999998 4.614632e-10 2.307316e-10
[176,] 0.9999999996 7.868076e-10 3.934038e-10
[177,] 0.9999999995 1.047215e-09 5.236074e-10
[178,] 0.9999999990 1.995796e-09 9.978981e-10
[179,] 0.9999999985 2.945125e-09 1.472563e-09
[180,] 0.9999999977 4.631151e-09 2.315575e-09
[181,] 0.9999999996 8.527825e-10 4.263912e-10
[182,] 0.9999999995 9.033448e-10 4.516724e-10
[183,] 0.9999999994 1.247250e-09 6.236249e-10
[184,] 0.9999999990 2.030926e-09 1.015463e-09
[185,] 0.9999999996 7.908456e-10 3.954228e-10
[186,] 0.9999999993 1.420805e-09 7.104026e-10
[187,] 0.9999999990 1.939784e-09 9.698920e-10
[188,] 0.9999999982 3.626105e-09 1.813053e-09
[189,] 0.9999999965 6.983076e-09 3.491538e-09
[190,] 0.9999999938 1.245756e-08 6.228778e-09
[191,] 0.9999999886 2.289443e-08 1.144721e-08
[192,] 0.9999999848 3.048092e-08 1.524046e-08
[193,] 0.9999999895 2.092449e-08 1.046225e-08
[194,] 0.9999999876 2.482064e-08 1.241032e-08
[195,] 0.9999999782 4.367617e-08 2.183809e-08
[196,] 0.9999999586 8.280455e-08 4.140227e-08
[197,] 0.9999999261 1.478283e-07 7.391413e-08
[198,] 0.9999998982 2.036075e-07 1.018038e-07
[199,] 0.9999998872 2.255288e-07 1.127644e-07
[200,] 0.9999997879 4.242415e-07 2.121207e-07
[201,] 0.9999998530 2.940816e-07 1.470408e-07
[202,] 0.9999997749 4.502644e-07 2.251322e-07
[203,] 0.9999996917 6.165479e-07 3.082740e-07
[204,] 0.9999996531 6.937193e-07 3.468597e-07
[205,] 0.9999994862 1.027580e-06 5.137898e-07
[206,] 0.9999991944 1.611115e-06 8.055574e-07
[207,] 0.9999985552 2.889608e-06 1.444804e-06
[208,] 0.9999975161 4.967751e-06 2.483875e-06
[209,] 0.9999967364 6.527276e-06 3.263638e-06
[210,] 0.9999976454 4.709195e-06 2.354598e-06
[211,] 0.9999956539 8.692290e-06 4.346145e-06
[212,] 0.9999983534 3.293132e-06 1.646566e-06
[213,] 0.9999996679 6.641801e-07 3.320900e-07
[214,] 0.9999994190 1.161991e-06 5.809953e-07
[215,] 0.9999988606 2.278838e-06 1.139419e-06
[216,] 0.9999987827 2.434576e-06 1.217288e-06
[217,] 0.9999976380 4.724038e-06 2.362019e-06
[218,] 0.9999954763 9.047344e-06 4.523672e-06
[219,] 0.9999912950 1.741003e-05 8.705016e-06
[220,] 0.9999883162 2.336767e-05 1.168383e-05
[221,] 0.9999793595 4.128093e-05 2.064047e-05
[222,] 0.9999622328 7.553442e-05 3.776721e-05
[223,] 0.9999312984 1.374032e-04 6.870161e-05
[224,] 0.9998905940 2.188120e-04 1.094060e-04
[225,] 0.9998881088 2.237825e-04 1.118912e-04
[226,] 0.9998099798 3.800405e-04 1.900202e-04
[227,] 0.9996887524 6.224953e-04 3.112476e-04
[228,] 0.9994462111 1.107578e-03 5.537889e-04
[229,] 0.9995259149 9.481701e-04 4.740851e-04
[230,] 0.9995632912 8.734175e-04 4.367088e-04
[231,] 0.9992530710 1.493858e-03 7.469290e-04
[232,] 0.9987552961 2.489408e-03 1.244704e-03
[233,] 0.9995025956 9.948088e-04 4.974044e-04
[234,] 0.9991183487 1.763303e-03 8.816513e-04
[235,] 0.9992584733 1.483053e-03 7.415267e-04
[236,] 0.9986696774 2.660645e-03 1.330323e-03
[237,] 0.9976964309 4.607138e-03 2.303569e-03
[238,] 0.9972996938 5.400612e-03 2.700306e-03
[239,] 0.9957248043 8.550391e-03 4.275196e-03
[240,] 0.9925019877 1.499602e-02 7.498012e-03
[241,] 0.9877541496 2.449170e-02 1.224585e-02
[242,] 0.9824797102 3.504058e-02 1.752029e-02
[243,] 0.9712932025 5.741359e-02 2.870680e-02
[244,] 0.9528017815 9.439644e-02 4.719822e-02
[245,] 0.9458958041 1.082084e-01 5.410420e-02
[246,] 0.9838117255 3.237655e-02 1.618827e-02
[247,] 0.9706074719 5.878506e-02 2.939253e-02
[248,] 0.9469227554 1.061545e-01 5.307724e-02
[249,] 0.9081833001 1.836334e-01 9.181670e-02
[250,] 0.8489517667 3.020965e-01 1.510482e-01
[251,] 0.9003320311 1.993359e-01 9.966797e-02
[252,] 0.8496615965 3.006768e-01 1.503384e-01
[253,] 0.7983448653 4.033103e-01 2.016551e-01
[254,] 0.7134599860 5.730800e-01 2.865400e-01
> postscript(file="/var/www/rcomp/tmp/10nv31323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
> points(x[,1]-mysum$resid)
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/2tamq1323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/3t7m61323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/4dqw21323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/5sr731323768015.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
5083.48536 -4800.76920 -8043.89878 2375.70234 -16436.07273 19830.28558
7 8 9 10 11 12
12071.46232 11696.37084 -3700.86884 25027.12200 -2173.23653 -32261.30065
13 14 15 16 17 18
-22233.30128 -9558.52325 -4588.48851 -23649.19944 -18319.78623 24298.90482
19 20 21 22 23 24
23320.22095 22781.29675 14495.16514 -7002.41992 -8226.26911 -14912.55878
25 26 27 28 29 30
1691.68102 -20534.23561 -2117.59936 -9705.85260 -24168.82126 -12745.27790
31 32 33 34 35 36
-25949.20119 -6768.62149 -4311.96334 -29578.29108 16865.86144 -21116.14047
37 38 39 40 41 42
-11520.66697 6958.93408 -18816.00091 -645.52210 -11209.11462 -13184.37475
43 44 45 46 47 48
-11858.53404 -20592.52130 -26704.37502 -14378.89819 -6695.63307 -13861.11403
49 50 51 52 53 54
-6172.42326 8557.31534 26455.37045 -18360.29159 -2114.48728 17584.88095
55 56 57 58 59 60
-13655.42774 -16253.83483 -5115.16399 -3177.14353 -3384.65006 -5959.95249
61 62 63 64 65 66
-2435.51326 9241.28877 27013.89593 -11126.28380 -17872.68381 -23599.53510
67 68 69 70 71 72
-7752.38017 2624.43538 -947.73671 -20229.29690 -6515.43292 -5467.94012
73 74 75 76 77 78
-22434.17430 27177.26939 -34024.72121 16993.83501 2889.87194 -29065.35284
79 80 81 82 83 84
-15850.28126 -20599.75939 10353.12905 -6032.36082 8164.73331 -564.89400
85 86 87 88 89 90
132607.86690 -8279.90796 94.91248 -6401.20169 19793.66281 -22244.59881
91 92 93 94 95 96
-9007.88347 21187.35377 -11900.64469 -940.98459 -16549.97234 13285.71527
97 98 99 100 101 102
-24331.71565 28785.71284 -14847.49852 8446.32055 -10283.15755 -9398.40806
103 104 105 106 107 108
8554.95004 34059.32689 25565.84324 35469.09788 -30507.82064 -5138.79986
109 110 111 112 113 114
13983.00827 -1048.15915 15781.24918 -8012.45384 3027.04961 -18611.55913
115 116 117 118 119 120
-15419.46178 -5184.17275 861.84933 -7665.38091 98184.92438 -634.52131
121 122 123 124 125 126
-12111.92312 -9542.01725 -21072.21950 84741.84472 17426.78698 -12351.45079
127 128 129 130 131 132
8283.61894 1308.14094 16859.73758 -2449.42331 -3664.60148 -9258.87716
133 134 135 136 137 138
-5437.35369 -11851.29816 -15055.46292 -23443.56577 -1548.13237 24580.09645
139 140 141 142 143 144
24365.76431 -1079.80948 -7307.99819 10764.44052 2418.21319 -24147.68301
145 146 147 148 149 150
22239.65095 569.21328 38372.42558 38970.99939 -5404.52501 15166.67681
151 152 153 154 155 156
-12616.36309 -8467.28978 4115.81231 -19681.42939 -6121.88619 53340.09731
157 158 159 160 161 162
-6542.74309 -3958.40085 11020.67386 7693.62901 -4153.20707 63728.41988
163 164 165 166 167 168
4427.40501 35566.92673 -9002.38745 -25777.99910 -21984.03050 42444.28788
169 170 171 172 173 174
-19637.54427 37621.72139 18179.81442 4664.78334 17034.97488 -15150.37859
175 176 177 178 179 180
33575.13231 -7968.80423 35454.85787 -3304.71929 14719.39321 -14948.81996
181 182 183 184 185 186
7013.26562 25332.82318 755.45414 -2681.83425 -35703.83763 -1431.62282
187 188 189 190 191 192
-5790.59168 -2090.15439 -13215.69904 13169.75089 24263.31846 2801.79890
193 194 195 196 197 198
-15583.24768 -15724.97028 -5297.27155 -9083.02604 -6733.31607 33261.69580
199 200 201 202 203 204
23348.52976 10326.41207 -12620.01279 -15308.65792 1890.17829 -2174.88336
205 206 207 208 209 210
-11704.15866 2222.73603 -8153.06201 -157.95627 -5690.30853 -19961.74832
211 212 213 214 215 216
-17683.72874 2796.23867 -3387.29176 -11474.07479 10993.74415 -22352.22803
217 218 219 220 221 222
-4122.09586 -893.35584 -16804.38726 -6477.14820 -6947.55255 -16285.33372
223 224 225 226 227 228
-18261.59819 -4641.12939 -8419.87186 -15428.43762 17035.82560 1875.51234
229 230 231 232 233 234
-11354.07007 31268.10109 -12410.76397 -7070.00647 10513.00605 -3131.84042
235 236 237 238 239 240
5215.27167 -4084.41497 8449.33829 -7845.58923 -10505.01416 -3156.93538
241 242 243 244 245 246
9112.12501 -11111.42584 -8762.66804 -1322.70843 -2057.06271 8081.08372
247 248 249 250 251 252
5201.95444 1286.82579 17581.19517 15935.37064 -1243.23221 1225.17846
253 254 255 256 257 258
-2668.30154 -1798.23473 -9042.88249 -349.49334 4183.09042 5679.50345
259 260 261 262 263 264
-11435.07675 -4413.67007 -2084.38125 -16636.84538 -2474.68687 -7496.20363
265 266 267 268 269 270
11465.12509 -3683.28547 -11516.70696 6376.99395 -14045.98340 11484.69168
271 272 273 274 275 276
-4753.54481 986.45543 2560.43349 -6221.52354 1196.40415 -6791.87269
277 278 279 280 281 282
18524.46283 -4890.61380 -16946.62533 -7521.39460 -1798.78534 65266.10451
283 284 285 286 287 288
12261.48287 -1217.24202 -2488.29780 19563.18185 -8910.56503 -8956.28845
289
-6386.91361
> postscript(file="/var/www/rcomp/tmp/64sef1323768015.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 5083.48536 NA
1 -4800.76920 5083.48536
2 -8043.89878 -4800.76920
3 2375.70234 -8043.89878
4 -16436.07273 2375.70234
5 19830.28558 -16436.07273
6 12071.46232 19830.28558
7 11696.37084 12071.46232
8 -3700.86884 11696.37084
9 25027.12200 -3700.86884
10 -2173.23653 25027.12200
11 -32261.30065 -2173.23653
12 -22233.30128 -32261.30065
13 -9558.52325 -22233.30128
14 -4588.48851 -9558.52325
15 -23649.19944 -4588.48851
16 -18319.78623 -23649.19944
17 24298.90482 -18319.78623
18 23320.22095 24298.90482
19 22781.29675 23320.22095
20 14495.16514 22781.29675
21 -7002.41992 14495.16514
22 -8226.26911 -7002.41992
23 -14912.55878 -8226.26911
24 1691.68102 -14912.55878
25 -20534.23561 1691.68102
26 -2117.59936 -20534.23561
27 -9705.85260 -2117.59936
28 -24168.82126 -9705.85260
29 -12745.27790 -24168.82126
30 -25949.20119 -12745.27790
31 -6768.62149 -25949.20119
32 -4311.96334 -6768.62149
33 -29578.29108 -4311.96334
34 16865.86144 -29578.29108
35 -21116.14047 16865.86144
36 -11520.66697 -21116.14047
37 6958.93408 -11520.66697
38 -18816.00091 6958.93408
39 -645.52210 -18816.00091
40 -11209.11462 -645.52210
41 -13184.37475 -11209.11462
42 -11858.53404 -13184.37475
43 -20592.52130 -11858.53404
44 -26704.37502 -20592.52130
45 -14378.89819 -26704.37502
46 -6695.63307 -14378.89819
47 -13861.11403 -6695.63307
48 -6172.42326 -13861.11403
49 8557.31534 -6172.42326
50 26455.37045 8557.31534
51 -18360.29159 26455.37045
52 -2114.48728 -18360.29159
53 17584.88095 -2114.48728
54 -13655.42774 17584.88095
55 -16253.83483 -13655.42774
56 -5115.16399 -16253.83483
57 -3177.14353 -5115.16399
58 -3384.65006 -3177.14353
59 -5959.95249 -3384.65006
60 -2435.51326 -5959.95249
61 9241.28877 -2435.51326
62 27013.89593 9241.28877
63 -11126.28380 27013.89593
64 -17872.68381 -11126.28380
65 -23599.53510 -17872.68381
66 -7752.38017 -23599.53510
67 2624.43538 -7752.38017
68 -947.73671 2624.43538
69 -20229.29690 -947.73671
70 -6515.43292 -20229.29690
71 -5467.94012 -6515.43292
72 -22434.17430 -5467.94012
73 27177.26939 -22434.17430
74 -34024.72121 27177.26939
75 16993.83501 -34024.72121
76 2889.87194 16993.83501
77 -29065.35284 2889.87194
78 -15850.28126 -29065.35284
79 -20599.75939 -15850.28126
80 10353.12905 -20599.75939
81 -6032.36082 10353.12905
82 8164.73331 -6032.36082
83 -564.89400 8164.73331
84 132607.86690 -564.89400
85 -8279.90796 132607.86690
86 94.91248 -8279.90796
87 -6401.20169 94.91248
88 19793.66281 -6401.20169
89 -22244.59881 19793.66281
90 -9007.88347 -22244.59881
91 21187.35377 -9007.88347
92 -11900.64469 21187.35377
93 -940.98459 -11900.64469
94 -16549.97234 -940.98459
95 13285.71527 -16549.97234
96 -24331.71565 13285.71527
97 28785.71284 -24331.71565
98 -14847.49852 28785.71284
99 8446.32055 -14847.49852
100 -10283.15755 8446.32055
101 -9398.40806 -10283.15755
102 8554.95004 -9398.40806
103 34059.32689 8554.95004
104 25565.84324 34059.32689
105 35469.09788 25565.84324
106 -30507.82064 35469.09788
107 -5138.79986 -30507.82064
108 13983.00827 -5138.79986
109 -1048.15915 13983.00827
110 15781.24918 -1048.15915
111 -8012.45384 15781.24918
112 3027.04961 -8012.45384
113 -18611.55913 3027.04961
114 -15419.46178 -18611.55913
115 -5184.17275 -15419.46178
116 861.84933 -5184.17275
117 -7665.38091 861.84933
118 98184.92438 -7665.38091
119 -634.52131 98184.92438
120 -12111.92312 -634.52131
121 -9542.01725 -12111.92312
122 -21072.21950 -9542.01725
123 84741.84472 -21072.21950
124 17426.78698 84741.84472
125 -12351.45079 17426.78698
126 8283.61894 -12351.45079
127 1308.14094 8283.61894
128 16859.73758 1308.14094
129 -2449.42331 16859.73758
130 -3664.60148 -2449.42331
131 -9258.87716 -3664.60148
132 -5437.35369 -9258.87716
133 -11851.29816 -5437.35369
134 -15055.46292 -11851.29816
135 -23443.56577 -15055.46292
136 -1548.13237 -23443.56577
137 24580.09645 -1548.13237
138 24365.76431 24580.09645
139 -1079.80948 24365.76431
140 -7307.99819 -1079.80948
141 10764.44052 -7307.99819
142 2418.21319 10764.44052
143 -24147.68301 2418.21319
144 22239.65095 -24147.68301
145 569.21328 22239.65095
146 38372.42558 569.21328
147 38970.99939 38372.42558
148 -5404.52501 38970.99939
149 15166.67681 -5404.52501
150 -12616.36309 15166.67681
151 -8467.28978 -12616.36309
152 4115.81231 -8467.28978
153 -19681.42939 4115.81231
154 -6121.88619 -19681.42939
155 53340.09731 -6121.88619
156 -6542.74309 53340.09731
157 -3958.40085 -6542.74309
158 11020.67386 -3958.40085
159 7693.62901 11020.67386
160 -4153.20707 7693.62901
161 63728.41988 -4153.20707
162 4427.40501 63728.41988
163 35566.92673 4427.40501
164 -9002.38745 35566.92673
165 -25777.99910 -9002.38745
166 -21984.03050 -25777.99910
167 42444.28788 -21984.03050
168 -19637.54427 42444.28788
169 37621.72139 -19637.54427
170 18179.81442 37621.72139
171 4664.78334 18179.81442
172 17034.97488 4664.78334
173 -15150.37859 17034.97488
174 33575.13231 -15150.37859
175 -7968.80423 33575.13231
176 35454.85787 -7968.80423
177 -3304.71929 35454.85787
178 14719.39321 -3304.71929
179 -14948.81996 14719.39321
180 7013.26562 -14948.81996
181 25332.82318 7013.26562
182 755.45414 25332.82318
183 -2681.83425 755.45414
184 -35703.83763 -2681.83425
185 -1431.62282 -35703.83763
186 -5790.59168 -1431.62282
187 -2090.15439 -5790.59168
188 -13215.69904 -2090.15439
189 13169.75089 -13215.69904
190 24263.31846 13169.75089
191 2801.79890 24263.31846
192 -15583.24768 2801.79890
193 -15724.97028 -15583.24768
194 -5297.27155 -15724.97028
195 -9083.02604 -5297.27155
196 -6733.31607 -9083.02604
197 33261.69580 -6733.31607
198 23348.52976 33261.69580
199 10326.41207 23348.52976
200 -12620.01279 10326.41207
201 -15308.65792 -12620.01279
202 1890.17829 -15308.65792
203 -2174.88336 1890.17829
204 -11704.15866 -2174.88336
205 2222.73603 -11704.15866
206 -8153.06201 2222.73603
207 -157.95627 -8153.06201
208 -5690.30853 -157.95627
209 -19961.74832 -5690.30853
210 -17683.72874 -19961.74832
211 2796.23867 -17683.72874
212 -3387.29176 2796.23867
213 -11474.07479 -3387.29176
214 10993.74415 -11474.07479
215 -22352.22803 10993.74415
216 -4122.09586 -22352.22803
217 -893.35584 -4122.09586
218 -16804.38726 -893.35584
219 -6477.14820 -16804.38726
220 -6947.55255 -6477.14820
221 -16285.33372 -6947.55255
222 -18261.59819 -16285.33372
223 -4641.12939 -18261.59819
224 -8419.87186 -4641.12939
225 -15428.43762 -8419.87186
226 17035.82560 -15428.43762
227 1875.51234 17035.82560
228 -11354.07007 1875.51234
229 31268.10109 -11354.07007
230 -12410.76397 31268.10109
231 -7070.00647 -12410.76397
232 10513.00605 -7070.00647
233 -3131.84042 10513.00605
234 5215.27167 -3131.84042
235 -4084.41497 5215.27167
236 8449.33829 -4084.41497
237 -7845.58923 8449.33829
238 -10505.01416 -7845.58923
239 -3156.93538 -10505.01416
240 9112.12501 -3156.93538
241 -11111.42584 9112.12501
242 -8762.66804 -11111.42584
243 -1322.70843 -8762.66804
244 -2057.06271 -1322.70843
245 8081.08372 -2057.06271
246 5201.95444 8081.08372
247 1286.82579 5201.95444
248 17581.19517 1286.82579
249 15935.37064 17581.19517
250 -1243.23221 15935.37064
251 1225.17846 -1243.23221
252 -2668.30154 1225.17846
253 -1798.23473 -2668.30154
254 -9042.88249 -1798.23473
255 -349.49334 -9042.88249
256 4183.09042 -349.49334
257 5679.50345 4183.09042
258 -11435.07675 5679.50345
259 -4413.67007 -11435.07675
260 -2084.38125 -4413.67007
261 -16636.84538 -2084.38125
262 -2474.68687 -16636.84538
263 -7496.20363 -2474.68687
264 11465.12509 -7496.20363
265 -3683.28547 11465.12509
266 -11516.70696 -3683.28547
267 6376.99395 -11516.70696
268 -14045.98340 6376.99395
269 11484.69168 -14045.98340
270 -4753.54481 11484.69168
271 986.45543 -4753.54481
272 2560.43349 986.45543
273 -6221.52354 2560.43349
274 1196.40415 -6221.52354
275 -6791.87269 1196.40415
276 18524.46283 -6791.87269
277 -4890.61380 18524.46283
278 -16946.62533 -4890.61380
279 -7521.39460 -16946.62533
280 -1798.78534 -7521.39460
281 65266.10451 -1798.78534
282 12261.48287 65266.10451
283 -1217.24202 12261.48287
284 -2488.29780 -1217.24202
285 19563.18185 -2488.29780
286 -8910.56503 19563.18185
287 -8956.28845 -8910.56503
288 -6386.91361 -8956.28845
289 NA -6386.91361
> dum1 <- dum[2:length(myerror),]
> dum1
lag(myerror, k = 1) myerror
[1,] -4800.76920 5083.48536
[2,] -8043.89878 -4800.76920
[3,] 2375.70234 -8043.89878
[4,] -16436.07273 2375.70234
[5,] 19830.28558 -16436.07273
[6,] 12071.46232 19830.28558
[7,] 11696.37084 12071.46232
[8,] -3700.86884 11696.37084
[9,] 25027.12200 -3700.86884
[10,] -2173.23653 25027.12200
[11,] -32261.30065 -2173.23653
[12,] -22233.30128 -32261.30065
[13,] -9558.52325 -22233.30128
[14,] -4588.48851 -9558.52325
[15,] -23649.19944 -4588.48851
[16,] -18319.78623 -23649.19944
[17,] 24298.90482 -18319.78623
[18,] 23320.22095 24298.90482
[19,] 22781.29675 23320.22095
[20,] 14495.16514 22781.29675
[21,] -7002.41992 14495.16514
[22,] -8226.26911 -7002.41992
[23,] -14912.55878 -8226.26911
[24,] 1691.68102 -14912.55878
[25,] -20534.23561 1691.68102
[26,] -2117.59936 -20534.23561
[27,] -9705.85260 -2117.59936
[28,] -24168.82126 -9705.85260
[29,] -12745.27790 -24168.82126
[30,] -25949.20119 -12745.27790
[31,] -6768.62149 -25949.20119
[32,] -4311.96334 -6768.62149
[33,] -29578.29108 -4311.96334
[34,] 16865.86144 -29578.29108
[35,] -21116.14047 16865.86144
[36,] -11520.66697 -21116.14047
[37,] 6958.93408 -11520.66697
[38,] -18816.00091 6958.93408
[39,] -645.52210 -18816.00091
[40,] -11209.11462 -645.52210
[41,] -13184.37475 -11209.11462
[42,] -11858.53404 -13184.37475
[43,] -20592.52130 -11858.53404
[44,] -26704.37502 -20592.52130
[45,] -14378.89819 -26704.37502
[46,] -6695.63307 -14378.89819
[47,] -13861.11403 -6695.63307
[48,] -6172.42326 -13861.11403
[49,] 8557.31534 -6172.42326
[50,] 26455.37045 8557.31534
[51,] -18360.29159 26455.37045
[52,] -2114.48728 -18360.29159
[53,] 17584.88095 -2114.48728
[54,] -13655.42774 17584.88095
[55,] -16253.83483 -13655.42774
[56,] -5115.16399 -16253.83483
[57,] -3177.14353 -5115.16399
[58,] -3384.65006 -3177.14353
[59,] -5959.95249 -3384.65006
[60,] -2435.51326 -5959.95249
[61,] 9241.28877 -2435.51326
[62,] 27013.89593 9241.28877
[63,] -11126.28380 27013.89593
[64,] -17872.68381 -11126.28380
[65,] -23599.53510 -17872.68381
[66,] -7752.38017 -23599.53510
[67,] 2624.43538 -7752.38017
[68,] -947.73671 2624.43538
[69,] -20229.29690 -947.73671
[70,] -6515.43292 -20229.29690
[71,] -5467.94012 -6515.43292
[72,] -22434.17430 -5467.94012
[73,] 27177.26939 -22434.17430
[74,] -34024.72121 27177.26939
[75,] 16993.83501 -34024.72121
[76,] 2889.87194 16993.83501
[77,] -29065.35284 2889.87194
[78,] -15850.28126 -29065.35284
[79,] -20599.75939 -15850.28126
[80,] 10353.12905 -20599.75939
[81,] -6032.36082 10353.12905
[82,] 8164.73331 -6032.36082
[83,] -564.89400 8164.73331
[84,] 132607.86690 -564.89400
[85,] -8279.90796 132607.86690
[86,] 94.91248 -8279.90796
[87,] -6401.20169 94.91248
[88,] 19793.66281 -6401.20169
[89,] -22244.59881 19793.66281
[90,] -9007.88347 -22244.59881
[91,] 21187.35377 -9007.88347
[92,] -11900.64469 21187.35377
[93,] -940.98459 -11900.64469
[94,] -16549.97234 -940.98459
[95,] 13285.71527 -16549.97234
[96,] -24331.71565 13285.71527
[97,] 28785.71284 -24331.71565
[98,] -14847.49852 28785.71284
[99,] 8446.32055 -14847.49852
[100,] -10283.15755 8446.32055
[101,] -9398.40806 -10283.15755
[102,] 8554.95004 -9398.40806
[103,] 34059.32689 8554.95004
[104,] 25565.84324 34059.32689
[105,] 35469.09788 25565.84324
[106,] -30507.82064 35469.09788
[107,] -5138.79986 -30507.82064
[108,] 13983.00827 -5138.79986
[109,] -1048.15915 13983.00827
[110,] 15781.24918 -1048.15915
[111,] -8012.45384 15781.24918
[112,] 3027.04961 -8012.45384
[113,] -18611.55913 3027.04961
[114,] -15419.46178 -18611.55913
[115,] -5184.17275 -15419.46178
[116,] 861.84933 -5184.17275
[117,] -7665.38091 861.84933
[118,] 98184.92438 -7665.38091
[119,] -634.52131 98184.92438
[120,] -12111.92312 -634.52131
[121,] -9542.01725 -12111.92312
[122,] -21072.21950 -9542.01725
[123,] 84741.84472 -21072.21950
[124,] 17426.78698 84741.84472
[125,] -12351.45079 17426.78698
[126,] 8283.61894 -12351.45079
[127,] 1308.14094 8283.61894
[128,] 16859.73758 1308.14094
[129,] -2449.42331 16859.73758
[130,] -3664.60148 -2449.42331
[131,] -9258.87716 -3664.60148
[132,] -5437.35369 -9258.87716
[133,] -11851.29816 -5437.35369
[134,] -15055.46292 -11851.29816
[135,] -23443.56577 -15055.46292
[136,] -1548.13237 -23443.56577
[137,] 24580.09645 -1548.13237
[138,] 24365.76431 24580.09645
[139,] -1079.80948 24365.76431
[140,] -7307.99819 -1079.80948
[141,] 10764.44052 -7307.99819
[142,] 2418.21319 10764.44052
[143,] -24147.68301 2418.21319
[144,] 22239.65095 -24147.68301
[145,] 569.21328 22239.65095
[146,] 38372.42558 569.21328
[147,] 38970.99939 38372.42558
[148,] -5404.52501 38970.99939
[149,] 15166.67681 -5404.52501
[150,] -12616.36309 15166.67681
[151,] -8467.28978 -12616.36309
[152,] 4115.81231 -8467.28978
[153,] -19681.42939 4115.81231
[154,] -6121.88619 -19681.42939
[155,] 53340.09731 -6121.88619
[156,] -6542.74309 53340.09731
[157,] -3958.40085 -6542.74309
[158,] 11020.67386 -3958.40085
[159,] 7693.62901 11020.67386
[160,] -4153.20707 7693.62901
[161,] 63728.41988 -4153.20707
[162,] 4427.40501 63728.41988
[163,] 35566.92673 4427.40501
[164,] -9002.38745 35566.92673
[165,] -25777.99910 -9002.38745
[166,] -21984.03050 -25777.99910
[167,] 42444.28788 -21984.03050
[168,] -19637.54427 42444.28788
[169,] 37621.72139 -19637.54427
[170,] 18179.81442 37621.72139
[171,] 4664.78334 18179.81442
[172,] 17034.97488 4664.78334
[173,] -15150.37859 17034.97488
[174,] 33575.13231 -15150.37859
[175,] -7968.80423 33575.13231
[176,] 35454.85787 -7968.80423
[177,] -3304.71929 35454.85787
[178,] 14719.39321 -3304.71929
[179,] -14948.81996 14719.39321
[180,] 7013.26562 -14948.81996
[181,] 25332.82318 7013.26562
[182,] 755.45414 25332.82318
[183,] -2681.83425 755.45414
[184,] -35703.83763 -2681.83425
[185,] -1431.62282 -35703.83763
[186,] -5790.59168 -1431.62282
[187,] -2090.15439 -5790.59168
[188,] -13215.69904 -2090.15439
[189,] 13169.75089 -13215.69904
[190,] 24263.31846 13169.75089
[191,] 2801.79890 24263.31846
[192,] -15583.24768 2801.79890
[193,] -15724.97028 -15583.24768
[194,] -5297.27155 -15724.97028
[195,] -9083.02604 -5297.27155
[196,] -6733.31607 -9083.02604
[197,] 33261.69580 -6733.31607
[198,] 23348.52976 33261.69580
[199,] 10326.41207 23348.52976
[200,] -12620.01279 10326.41207
[201,] -15308.65792 -12620.01279
[202,] 1890.17829 -15308.65792
[203,] -2174.88336 1890.17829
[204,] -11704.15866 -2174.88336
[205,] 2222.73603 -11704.15866
[206,] -8153.06201 2222.73603
[207,] -157.95627 -8153.06201
[208,] -5690.30853 -157.95627
[209,] -19961.74832 -5690.30853
[210,] -17683.72874 -19961.74832
[211,] 2796.23867 -17683.72874
[212,] -3387.29176 2796.23867
[213,] -11474.07479 -3387.29176
[214,] 10993.74415 -11474.07479
[215,] -22352.22803 10993.74415
[216,] -4122.09586 -22352.22803
[217,] -893.35584 -4122.09586
[218,] -16804.38726 -893.35584
[219,] -6477.14820 -16804.38726
[220,] -6947.55255 -6477.14820
[221,] -16285.33372 -6947.55255
[222,] -18261.59819 -16285.33372
[223,] -4641.12939 -18261.59819
[224,] -8419.87186 -4641.12939
[225,] -15428.43762 -8419.87186
[226,] 17035.82560 -15428.43762
[227,] 1875.51234 17035.82560
[228,] -11354.07007 1875.51234
[229,] 31268.10109 -11354.07007
[230,] -12410.76397 31268.10109
[231,] -7070.00647 -12410.76397
[232,] 10513.00605 -7070.00647
[233,] -3131.84042 10513.00605
[234,] 5215.27167 -3131.84042
[235,] -4084.41497 5215.27167
[236,] 8449.33829 -4084.41497
[237,] -7845.58923 8449.33829
[238,] -10505.01416 -7845.58923
[239,] -3156.93538 -10505.01416
[240,] 9112.12501 -3156.93538
[241,] -11111.42584 9112.12501
[242,] -8762.66804 -11111.42584
[243,] -1322.70843 -8762.66804
[244,] -2057.06271 -1322.70843
[245,] 8081.08372 -2057.06271
[246,] 5201.95444 8081.08372
[247,] 1286.82579 5201.95444
[248,] 17581.19517 1286.82579
[249,] 15935.37064 17581.19517
[250,] -1243.23221 15935.37064
[251,] 1225.17846 -1243.23221
[252,] -2668.30154 1225.17846
[253,] -1798.23473 -2668.30154
[254,] -9042.88249 -1798.23473
[255,] -349.49334 -9042.88249
[256,] 4183.09042 -349.49334
[257,] 5679.50345 4183.09042
[258,] -11435.07675 5679.50345
[259,] -4413.67007 -11435.07675
[260,] -2084.38125 -4413.67007
[261,] -16636.84538 -2084.38125
[262,] -2474.68687 -16636.84538
[263,] -7496.20363 -2474.68687
[264,] 11465.12509 -7496.20363
[265,] -3683.28547 11465.12509
[266,] -11516.70696 -3683.28547
[267,] 6376.99395 -11516.70696
[268,] -14045.98340 6376.99395
[269,] 11484.69168 -14045.98340
[270,] -4753.54481 11484.69168
[271,] 986.45543 -4753.54481
[272,] 2560.43349 986.45543
[273,] -6221.52354 2560.43349
[274,] 1196.40415 -6221.52354
[275,] -6791.87269 1196.40415
[276,] 18524.46283 -6791.87269
[277,] -4890.61380 18524.46283
[278,] -16946.62533 -4890.61380
[279,] -7521.39460 -16946.62533
[280,] -1798.78534 -7521.39460
[281,] 65266.10451 -1798.78534
[282,] 12261.48287 65266.10451
[283,] -1217.24202 12261.48287
[284,] -2488.29780 -1217.24202
[285,] 19563.18185 -2488.29780
[286,] -8910.56503 19563.18185
[287,] -8956.28845 -8910.56503
[288,] -6386.91361 -8956.28845
> z <- as.data.frame(dum1)
> z
lag(myerror, k = 1) myerror
1 -4800.76920 5083.48536
2 -8043.89878 -4800.76920
3 2375.70234 -8043.89878
4 -16436.07273 2375.70234
5 19830.28558 -16436.07273
6 12071.46232 19830.28558
7 11696.37084 12071.46232
8 -3700.86884 11696.37084
9 25027.12200 -3700.86884
10 -2173.23653 25027.12200
11 -32261.30065 -2173.23653
12 -22233.30128 -32261.30065
13 -9558.52325 -22233.30128
14 -4588.48851 -9558.52325
15 -23649.19944 -4588.48851
16 -18319.78623 -23649.19944
17 24298.90482 -18319.78623
18 23320.22095 24298.90482
19 22781.29675 23320.22095
20 14495.16514 22781.29675
21 -7002.41992 14495.16514
22 -8226.26911 -7002.41992
23 -14912.55878 -8226.26911
24 1691.68102 -14912.55878
25 -20534.23561 1691.68102
26 -2117.59936 -20534.23561
27 -9705.85260 -2117.59936
28 -24168.82126 -9705.85260
29 -12745.27790 -24168.82126
30 -25949.20119 -12745.27790
31 -6768.62149 -25949.20119
32 -4311.96334 -6768.62149
33 -29578.29108 -4311.96334
34 16865.86144 -29578.29108
35 -21116.14047 16865.86144
36 -11520.66697 -21116.14047
37 6958.93408 -11520.66697
38 -18816.00091 6958.93408
39 -645.52210 -18816.00091
40 -11209.11462 -645.52210
41 -13184.37475 -11209.11462
42 -11858.53404 -13184.37475
43 -20592.52130 -11858.53404
44 -26704.37502 -20592.52130
45 -14378.89819 -26704.37502
46 -6695.63307 -14378.89819
47 -13861.11403 -6695.63307
48 -6172.42326 -13861.11403
49 8557.31534 -6172.42326
50 26455.37045 8557.31534
51 -18360.29159 26455.37045
52 -2114.48728 -18360.29159
53 17584.88095 -2114.48728
54 -13655.42774 17584.88095
55 -16253.83483 -13655.42774
56 -5115.16399 -16253.83483
57 -3177.14353 -5115.16399
58 -3384.65006 -3177.14353
59 -5959.95249 -3384.65006
60 -2435.51326 -5959.95249
61 9241.28877 -2435.51326
62 27013.89593 9241.28877
63 -11126.28380 27013.89593
64 -17872.68381 -11126.28380
65 -23599.53510 -17872.68381
66 -7752.38017 -23599.53510
67 2624.43538 -7752.38017
68 -947.73671 2624.43538
69 -20229.29690 -947.73671
70 -6515.43292 -20229.29690
71 -5467.94012 -6515.43292
72 -22434.17430 -5467.94012
73 27177.26939 -22434.17430
74 -34024.72121 27177.26939
75 16993.83501 -34024.72121
76 2889.87194 16993.83501
77 -29065.35284 2889.87194
78 -15850.28126 -29065.35284
79 -20599.75939 -15850.28126
80 10353.12905 -20599.75939
81 -6032.36082 10353.12905
82 8164.73331 -6032.36082
83 -564.89400 8164.73331
84 132607.86690 -564.89400
85 -8279.90796 132607.86690
86 94.91248 -8279.90796
87 -6401.20169 94.91248
88 19793.66281 -6401.20169
89 -22244.59881 19793.66281
90 -9007.88347 -22244.59881
91 21187.35377 -9007.88347
92 -11900.64469 21187.35377
93 -940.98459 -11900.64469
94 -16549.97234 -940.98459
95 13285.71527 -16549.97234
96 -24331.71565 13285.71527
97 28785.71284 -24331.71565
98 -14847.49852 28785.71284
99 8446.32055 -14847.49852
100 -10283.15755 8446.32055
101 -9398.40806 -10283.15755
102 8554.95004 -9398.40806
103 34059.32689 8554.95004
104 25565.84324 34059.32689
105 35469.09788 25565.84324
106 -30507.82064 35469.09788
107 -5138.79986 -30507.82064
108 13983.00827 -5138.79986
109 -1048.15915 13983.00827
110 15781.24918 -1048.15915
111 -8012.45384 15781.24918
112 3027.04961 -8012.45384
113 -18611.55913 3027.04961
114 -15419.46178 -18611.55913
115 -5184.17275 -15419.46178
116 861.84933 -5184.17275
117 -7665.38091 861.84933
118 98184.92438 -7665.38091
119 -634.52131 98184.92438
120 -12111.92312 -634.52131
121 -9542.01725 -12111.92312
122 -21072.21950 -9542.01725
123 84741.84472 -21072.21950
124 17426.78698 84741.84472
125 -12351.45079 17426.78698
126 8283.61894 -12351.45079
127 1308.14094 8283.61894
128 16859.73758 1308.14094
129 -2449.42331 16859.73758
130 -3664.60148 -2449.42331
131 -9258.87716 -3664.60148
132 -5437.35369 -9258.87716
133 -11851.29816 -5437.35369
134 -15055.46292 -11851.29816
135 -23443.56577 -15055.46292
136 -1548.13237 -23443.56577
137 24580.09645 -1548.13237
138 24365.76431 24580.09645
139 -1079.80948 24365.76431
140 -7307.99819 -1079.80948
141 10764.44052 -7307.99819
142 2418.21319 10764.44052
143 -24147.68301 2418.21319
144 22239.65095 -24147.68301
145 569.21328 22239.65095
146 38372.42558 569.21328
147 38970.99939 38372.42558
148 -5404.52501 38970.99939
149 15166.67681 -5404.52501
150 -12616.36309 15166.67681
151 -8467.28978 -12616.36309
152 4115.81231 -8467.28978
153 -19681.42939 4115.81231
154 -6121.88619 -19681.42939
155 53340.09731 -6121.88619
156 -6542.74309 53340.09731
157 -3958.40085 -6542.74309
158 11020.67386 -3958.40085
159 7693.62901 11020.67386
160 -4153.20707 7693.62901
161 63728.41988 -4153.20707
162 4427.40501 63728.41988
163 35566.92673 4427.40501
164 -9002.38745 35566.92673
165 -25777.99910 -9002.38745
166 -21984.03050 -25777.99910
167 42444.28788 -21984.03050
168 -19637.54427 42444.28788
169 37621.72139 -19637.54427
170 18179.81442 37621.72139
171 4664.78334 18179.81442
172 17034.97488 4664.78334
173 -15150.37859 17034.97488
174 33575.13231 -15150.37859
175 -7968.80423 33575.13231
176 35454.85787 -7968.80423
177 -3304.71929 35454.85787
178 14719.39321 -3304.71929
179 -14948.81996 14719.39321
180 7013.26562 -14948.81996
181 25332.82318 7013.26562
182 755.45414 25332.82318
183 -2681.83425 755.45414
184 -35703.83763 -2681.83425
185 -1431.62282 -35703.83763
186 -5790.59168 -1431.62282
187 -2090.15439 -5790.59168
188 -13215.69904 -2090.15439
189 13169.75089 -13215.69904
190 24263.31846 13169.75089
191 2801.79890 24263.31846
192 -15583.24768 2801.79890
193 -15724.97028 -15583.24768
194 -5297.27155 -15724.97028
195 -9083.02604 -5297.27155
196 -6733.31607 -9083.02604
197 33261.69580 -6733.31607
198 23348.52976 33261.69580
199 10326.41207 23348.52976
200 -12620.01279 10326.41207
201 -15308.65792 -12620.01279
202 1890.17829 -15308.65792
203 -2174.88336 1890.17829
204 -11704.15866 -2174.88336
205 2222.73603 -11704.15866
206 -8153.06201 2222.73603
207 -157.95627 -8153.06201
208 -5690.30853 -157.95627
209 -19961.74832 -5690.30853
210 -17683.72874 -19961.74832
211 2796.23867 -17683.72874
212 -3387.29176 2796.23867
213 -11474.07479 -3387.29176
214 10993.74415 -11474.07479
215 -22352.22803 10993.74415
216 -4122.09586 -22352.22803
217 -893.35584 -4122.09586
218 -16804.38726 -893.35584
219 -6477.14820 -16804.38726
220 -6947.55255 -6477.14820
221 -16285.33372 -6947.55255
222 -18261.59819 -16285.33372
223 -4641.12939 -18261.59819
224 -8419.87186 -4641.12939
225 -15428.43762 -8419.87186
226 17035.82560 -15428.43762
227 1875.51234 17035.82560
228 -11354.07007 1875.51234
229 31268.10109 -11354.07007
230 -12410.76397 31268.10109
231 -7070.00647 -12410.76397
232 10513.00605 -7070.00647
233 -3131.84042 10513.00605
234 5215.27167 -3131.84042
235 -4084.41497 5215.27167
236 8449.33829 -4084.41497
237 -7845.58923 8449.33829
238 -10505.01416 -7845.58923
239 -3156.93538 -10505.01416
240 9112.12501 -3156.93538
241 -11111.42584 9112.12501
242 -8762.66804 -11111.42584
243 -1322.70843 -8762.66804
244 -2057.06271 -1322.70843
245 8081.08372 -2057.06271
246 5201.95444 8081.08372
247 1286.82579 5201.95444
248 17581.19517 1286.82579
249 15935.37064 17581.19517
250 -1243.23221 15935.37064
251 1225.17846 -1243.23221
252 -2668.30154 1225.17846
253 -1798.23473 -2668.30154
254 -9042.88249 -1798.23473
255 -349.49334 -9042.88249
256 4183.09042 -349.49334
257 5679.50345 4183.09042
258 -11435.07675 5679.50345
259 -4413.67007 -11435.07675
260 -2084.38125 -4413.67007
261 -16636.84538 -2084.38125
262 -2474.68687 -16636.84538
263 -7496.20363 -2474.68687
264 11465.12509 -7496.20363
265 -3683.28547 11465.12509
266 -11516.70696 -3683.28547
267 6376.99395 -11516.70696
268 -14045.98340 6376.99395
269 11484.69168 -14045.98340
270 -4753.54481 11484.69168
271 986.45543 -4753.54481
272 2560.43349 986.45543
273 -6221.52354 2560.43349
274 1196.40415 -6221.52354
275 -6791.87269 1196.40415
276 18524.46283 -6791.87269
277 -4890.61380 18524.46283
278 -16946.62533 -4890.61380
279 -7521.39460 -16946.62533
280 -1798.78534 -7521.39460
281 65266.10451 -1798.78534
282 12261.48287 65266.10451
283 -1217.24202 12261.48287
284 -2488.29780 -1217.24202
285 19563.18185 -2488.29780
286 -8910.56503 19563.18185
287 -8956.28845 -8910.56503
288 -6386.91361 -8956.28845
> plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
> lines(lowess(z))
> abline(lm(z))
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/713u81323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/80m911323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device
1
> postscript(file="/var/www/rcomp/tmp/9a4431323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
> par(opar)
> dev.off()
null device
1
> if (n > n25) {
+ postscript(file="/var/www/rcomp/tmp/10fqu91323768015.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556)
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device
1
>
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
>
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
+ myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
+ if (rownames(mysum$coefficients)[i] != '(Intercept)') {
+ myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
+ if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/11xgfb1323768015.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
+ a<-table.element(a,mysum$coefficients[i,1])
+ a<-table.element(a, round(mysum$coefficients[i,2],6))
+ a<-table.element(a, round(mysum$coefficients[i,3],4))
+ a<-table.element(a, round(mysum$coefficients[i,4],6))
+ a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/127cez1323768015.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, sqrt(mysum$r.squared))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'R-squared',1,TRUE)
> a<-table.element(a, mysum$r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Adjusted R-squared',1,TRUE)
> a<-table.element(a, mysum$adj.r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (value)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'p-value',1,TRUE)
> a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
> a<-table.element(a, mysum$sigma)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, sum(myerror*myerror))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/133m271323768015.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]-mysum$resid[i])
+ a<-table.element(a,mysum$resid[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/14ehng1323768015.tab")
> if (n > n25) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-values',header=TRUE)
+ a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'breakpoint index',header=TRUE)
+ a<-table.element(a,'greater',header=TRUE)
+ a<-table.element(a,'2-sided',header=TRUE)
+ a<-table.element(a,'less',header=TRUE)
+ a<-table.row.end(a)
+ for (mypoint in kp3:nmkm3) {
+ a<-table.row.start(a)
+ a<-table.element(a,mypoint,header=TRUE)
+ a<-table.element(a,gqarr[mypoint-kp3+1,1])
+ a<-table.element(a,gqarr[mypoint-kp3+1,2])
+ a<-table.element(a,gqarr[mypoint-kp3+1,3])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/rcomp/tmp/15khok1323768015.tab")
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Description',header=TRUE)
+ a<-table.element(a,'# significant tests',header=TRUE)
+ a<-table.element(a,'% significant tests',header=TRUE)
+ a<-table.element(a,'OK/NOK',header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'1% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant1)
+ a<-table.element(a,numsignificant1/numgqtests)
+ if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'5% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant5)
+ a<-table.element(a,numsignificant5/numgqtests)
+ if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'10% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant10)
+ a<-table.element(a,numsignificant10/numgqtests)
+ if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/www/rcomp/tmp/164yle1323768015.tab")
+ }
>
> try(system("convert tmp/10nv31323768015.ps tmp/10nv31323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/2tamq1323768015.ps tmp/2tamq1323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/3t7m61323768015.ps tmp/3t7m61323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/4dqw21323768015.ps tmp/4dqw21323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/5sr731323768015.ps tmp/5sr731323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/64sef1323768015.ps tmp/64sef1323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/713u81323768015.ps tmp/713u81323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/80m911323768015.ps tmp/80m911323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/9a4431323768015.ps tmp/9a4431323768015.png",intern=TRUE))
character(0)
> try(system("convert tmp/10fqu91323768015.ps tmp/10fqu91323768015.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
16.348 0.680 17.586