Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationTue, 20 Dec 2011 10:02:35 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/20/t132439340986vxvt9v7hgmxkh.htm/, Retrieved Mon, 06 May 2024 05:48:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157980, Retrieved Mon, 06 May 2024 05:48:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [Paper Structureel...] [2011-12-20 15:02:35] [e598b5cd83fcb010b35e92a01f5e81e9] [Current]
Feedback Forum

Post a new message
Dataseries X:
6827
6178
7084
8162
8462
9644
10466
10748
9963
8194
6848
7027
7269
6775
7819
8371
9069
10248
11030
10882
10333
9109
7685
7602
8350
7829
8829
9948
10638
11253
11424
11391
10665
9396
7775
7933
8186
7444
8484
9864
10252
12282
11637
11577
12417
9637
8094
9280
8334
7899
9994
10078
10801
12950
12222
12246
13281
10366
8730
9614
8639
8772
10894
10455
11179
10588
10794
12770
13812
10857
9290
10925
9491
8919
11607
8852
12537
14759
13667
13731
15110
12185
10645
12161
10840
10436
13589
13402
13103
14933
14147
14057
16234
12389
11595
12772




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'AstonUniversity' @ aston.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157980&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157980&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157980&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'AstonUniversity' @ aston.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
168276827000
261786235.72999967879-192.914170525312-57.7299996787866-0.574778114410533
370846955.50689232444334.606288353359128.4931076755570.95389445647014
481628120.634009912826.26741552128641.3659900880040.823301560173076
584628573.66794383423606.739534459744-111.667943834225-0.376797227115132
696449598.81967536548853.33639944732945.18032463452370.425320769265379
71046610503.975498204883.903923301319-37.97549820402290.0527322670476683
81074810852.2204925117567.88999308576-104.220492511689-0.545153208751944
9996310145.3195386406-184.186575934015-182.319538640566-1.29739964132598
1081948387.24800672685-1112.73491028067-193.24800672685-1.60182983339658
1168486867.3350681929-1352.96206818034-19.335068192906-0.414413618261252
1270276852.67845480312-563.383148161595174.3215451968821.3620952125226
1372696784.0425280892-277.873418609141484.9574719107960.542688236554757
1467756897.39773989598-65.4261736033918-122.3977398959820.344507859337332
1578197688.1254111063412.435120740813130.87458889370.841018538140299
1683718255.31467996886501.252959956884115.685320031140.151923131628945
1790699181.87973716805744.146141145262-112.8797371680470.416422946279137
181024810220.8450542819912.56113295069427.15494571811140.290349635216842
191103011093.7282885426889.866835569197-63.7282885425608-0.0391499634070024
201088211038.4993927765349.139735978425-156.499392776549-0.932800728699087
211033310409.4326959132-210.544436245805-76.4326959132472-0.965507318429454
2291099296.5533257329-726.873511517815-187.553325732898-0.890734929607088
2376857947.81172125518-1082.59954961503-262.811721255177-0.613651692538327
2476027366.71645291029-796.580491196936235.2835470897140.494508040147718
2583507702.4956049113-149.710111935777647.5043950886951.14589957543922
2678298046.46464266816125.092172395768-217.4646426681630.464231642724525
2788298642.04179214341386.404235479544186.9582078565860.455121245660314
2899489792.20443543828819.166109948842155.7955645617160.746459150571526
291063810832.5143392733944.295998903234-194.5143392732940.214681112723822
301125311374.4996004604716.934742530202-121.499600460408-0.39171431248696
311142411481.5397395437371.863143705294-57.5397395436881-0.5952759163829
321139111464.5845785001151.722888053592-73.5845785000723-0.379759338911301
331066510719.4914499304-356.136495730389-54.4914499303501-0.876112269506826
3493969536.19362162094-824.512289154791-140.193621620939-0.808019835464824
3577758154.81763538249-1139.49112282438-379.81763538249-0.543386802309635
3679337726.71773193834-737.896775568156206.2822680616640.695355421422496
3781867518.40455493255-437.948570842746667.5954450674540.522227987553597
3874447649.99974357534-119.63045451203-205.9997435753450.543881385322524
3984848335.61840322281327.981879822604148.3815967771890.775645311676447
4098649625.77463541085869.5027654863238.2253645891520.936528805330544
411025210436.6615860043836.482940725582-184.661586004336-0.0567459661542848
421228212171.62308737291341.74843598701110.3769126270920.870137048762232
431163711982.5343806238480.288164293952-345.534380623775-1.48592999059447
441157711622.52623301337.00500994754224-45.5262330133048-0.816457465918757
451241712164.0706220538308.168226776074252.9293779461740.519541866954483
46963710069.1894408799-1045.30891182512-432.18944087994-2.33487207543912
4780948594.35067697091-1286.92488042044-500.350676970911-0.416943266325792
4892808831.65221270869-430.054608517496448.3477872913141.48341153325899
4983347865.62650500004-732.023820639251468.373494999958-0.522778172290516
5078998069.06280048829-209.173886402977-170.0628004882910.897111131009624
5199949722.77827146718827.291058767452271.2217285328181.79205096694305
521007810005.0217950179521.71077027106972.9782049820674-0.528686629366329
531080111109.9716799997849.32194922504-308.9716799996750.563864035714061
541295012477.3001248291139.83584712041472.6998751709950.500265065412751
551222212657.3485388216601.458946626827-435.348538821627-0.92848884607518
561224612553.8293105836205.678334541945-307.82931058363-0.682757362868966
571328112515.587776388668.6935341715651765.412223611425-0.236313218790651
581036610964.4377371255-840.614990383452-598.437737125506-1.56863599876224
5987309565.77652123337-1153.54148981926-835.776521233368-0.540152329272331
6096148888.03646705454-886.687775659592725.9635329454630.461662631890768
6186398306.690983933-715.229879203745332.3090160669990.296185047892151
6287729064.77622469673107.659126927057-292.7762246967341.41464503519166
631089410315.1180430438743.712793289261578.8819569562361.09861876190116
641045510636.6470046626507.562318731747-181.647004662561-0.40844387177564
651117911563.6989392047742.703219970153-384.6989392046590.405145179550411
661058810333.1973384423-362.048254600683254.802661557727-1.90266619496205
671079410934.755045691177.353229385124-140.7550456909850.930106422654493
681277012772.69441091081107.52769658024-2.694410910819141.6045891727523
691381212882.6239563394548.552822161601929.376043660577-0.964282349429455
701085711596.4557565954-479.027399418875-739.455756595378-1.77275254850433
71929010281.9990123041-946.58666394634-991.999012304065-0.807208817227284
721092510077.6234065214-530.981480990336847.3765934785670.718515394167503
7394919508.84517429251-552.157853337894-17.8451742925112-0.036546329786534
7489199392.1390190638-309.128009406668-473.1390190638070.41822895172767
751160710680.2984258657580.099475262832926.7015741342651.53513975731362
7688529446.29735406746-433.122703138025-594.297354067462-1.75172497241091
771253711898.71036557371181.78529082486638.2896344262532.78440649751616
781475914556.482763532007.17026867099202.5172364699531.42187867034762
791366714626.1060954186924.119578371698-959.106095418592-1.86731904234343
801373113840.9570159543-31.7422009369576-109.957015954295-1.64881369617127
811511013765.2138552098-56.35446871772571344.78614479021-0.0424583037697665
821218512882.0811042371-518.647143055857-697.08110423706-0.79759784755361
831064511838.5683738808-812.006819142328-1193.56837388077-0.506501841676199
841216111209.61747444-709.627742355653951.3825255600050.176899073617942
851084010860.0449189886-508.222050303367-20.04491898858660.347430203911693
861043611042.197413944-123.175690177255-606.1974139440490.663032138689443
871358912040.5488052724501.160665659491548.451194727571.07755118158476
881340214376.82356467161525.06366852822-974.8235646715841.76952418853944
891310313355.2994162465101.610019729102-252.299416246479-2.45536284185536
901493314172.9510158755501.657253132698760.0489841244530.689338500931286
911414714779.8046557168560.398879964287-632.8046557168250.101271267198624
921405714355.880926632110.6449812786247-298.880926632082-0.948236866285564
931623414626.3367491487155.7747384524991607.663250851270.250362654157559
941238913220.235462686-716.452103778143-831.235462686027-1.50499014666315
951159512705.96273657-603.560437140474-1110.962736570040.19491499620361
961277211890.3672421402-722.030505085071881.63275785981-0.2046162718561

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 6827 & 6827 & 0 & 0 & 0 \tabularnewline
2 & 6178 & 6235.72999967879 & -192.914170525312 & -57.7299996787866 & -0.574778114410533 \tabularnewline
3 & 7084 & 6955.50689232444 & 334.606288353359 & 128.493107675557 & 0.95389445647014 \tabularnewline
4 & 8162 & 8120.634009912 & 826.267415521286 & 41.365990088004 & 0.823301560173076 \tabularnewline
5 & 8462 & 8573.66794383423 & 606.739534459744 & -111.667943834225 & -0.376797227115132 \tabularnewline
6 & 9644 & 9598.81967536548 & 853.336399447329 & 45.1803246345237 & 0.425320769265379 \tabularnewline
7 & 10466 & 10503.975498204 & 883.903923301319 & -37.9754982040229 & 0.0527322670476683 \tabularnewline
8 & 10748 & 10852.2204925117 & 567.88999308576 & -104.220492511689 & -0.545153208751944 \tabularnewline
9 & 9963 & 10145.3195386406 & -184.186575934015 & -182.319538640566 & -1.29739964132598 \tabularnewline
10 & 8194 & 8387.24800672685 & -1112.73491028067 & -193.24800672685 & -1.60182983339658 \tabularnewline
11 & 6848 & 6867.3350681929 & -1352.96206818034 & -19.335068192906 & -0.414413618261252 \tabularnewline
12 & 7027 & 6852.67845480312 & -563.383148161595 & 174.321545196882 & 1.3620952125226 \tabularnewline
13 & 7269 & 6784.0425280892 & -277.873418609141 & 484.957471910796 & 0.542688236554757 \tabularnewline
14 & 6775 & 6897.39773989598 & -65.4261736033918 & -122.397739895982 & 0.344507859337332 \tabularnewline
15 & 7819 & 7688.1254111063 & 412.435120740813 & 130.8745888937 & 0.841018538140299 \tabularnewline
16 & 8371 & 8255.31467996886 & 501.252959956884 & 115.68532003114 & 0.151923131628945 \tabularnewline
17 & 9069 & 9181.87973716805 & 744.146141145262 & -112.879737168047 & 0.416422946279137 \tabularnewline
18 & 10248 & 10220.8450542819 & 912.561132950694 & 27.1549457181114 & 0.290349635216842 \tabularnewline
19 & 11030 & 11093.7282885426 & 889.866835569197 & -63.7282885425608 & -0.0391499634070024 \tabularnewline
20 & 10882 & 11038.4993927765 & 349.139735978425 & -156.499392776549 & -0.932800728699087 \tabularnewline
21 & 10333 & 10409.4326959132 & -210.544436245805 & -76.4326959132472 & -0.965507318429454 \tabularnewline
22 & 9109 & 9296.5533257329 & -726.873511517815 & -187.553325732898 & -0.890734929607088 \tabularnewline
23 & 7685 & 7947.81172125518 & -1082.59954961503 & -262.811721255177 & -0.613651692538327 \tabularnewline
24 & 7602 & 7366.71645291029 & -796.580491196936 & 235.283547089714 & 0.494508040147718 \tabularnewline
25 & 8350 & 7702.4956049113 & -149.710111935777 & 647.504395088695 & 1.14589957543922 \tabularnewline
26 & 7829 & 8046.46464266816 & 125.092172395768 & -217.464642668163 & 0.464231642724525 \tabularnewline
27 & 8829 & 8642.04179214341 & 386.404235479544 & 186.958207856586 & 0.455121245660314 \tabularnewline
28 & 9948 & 9792.20443543828 & 819.166109948842 & 155.795564561716 & 0.746459150571526 \tabularnewline
29 & 10638 & 10832.5143392733 & 944.295998903234 & -194.514339273294 & 0.214681112723822 \tabularnewline
30 & 11253 & 11374.4996004604 & 716.934742530202 & -121.499600460408 & -0.39171431248696 \tabularnewline
31 & 11424 & 11481.5397395437 & 371.863143705294 & -57.5397395436881 & -0.5952759163829 \tabularnewline
32 & 11391 & 11464.5845785001 & 151.722888053592 & -73.5845785000723 & -0.379759338911301 \tabularnewline
33 & 10665 & 10719.4914499304 & -356.136495730389 & -54.4914499303501 & -0.876112269506826 \tabularnewline
34 & 9396 & 9536.19362162094 & -824.512289154791 & -140.193621620939 & -0.808019835464824 \tabularnewline
35 & 7775 & 8154.81763538249 & -1139.49112282438 & -379.81763538249 & -0.543386802309635 \tabularnewline
36 & 7933 & 7726.71773193834 & -737.896775568156 & 206.282268061664 & 0.695355421422496 \tabularnewline
37 & 8186 & 7518.40455493255 & -437.948570842746 & 667.595445067454 & 0.522227987553597 \tabularnewline
38 & 7444 & 7649.99974357534 & -119.63045451203 & -205.999743575345 & 0.543881385322524 \tabularnewline
39 & 8484 & 8335.61840322281 & 327.981879822604 & 148.381596777189 & 0.775645311676447 \tabularnewline
40 & 9864 & 9625.77463541085 & 869.5027654863 & 238.225364589152 & 0.936528805330544 \tabularnewline
41 & 10252 & 10436.6615860043 & 836.482940725582 & -184.661586004336 & -0.0567459661542848 \tabularnewline
42 & 12282 & 12171.6230873729 & 1341.74843598701 & 110.376912627092 & 0.870137048762232 \tabularnewline
43 & 11637 & 11982.5343806238 & 480.288164293952 & -345.534380623775 & -1.48592999059447 \tabularnewline
44 & 11577 & 11622.5262330133 & 7.00500994754224 & -45.5262330133048 & -0.816457465918757 \tabularnewline
45 & 12417 & 12164.0706220538 & 308.168226776074 & 252.929377946174 & 0.519541866954483 \tabularnewline
46 & 9637 & 10069.1894408799 & -1045.30891182512 & -432.18944087994 & -2.33487207543912 \tabularnewline
47 & 8094 & 8594.35067697091 & -1286.92488042044 & -500.350676970911 & -0.416943266325792 \tabularnewline
48 & 9280 & 8831.65221270869 & -430.054608517496 & 448.347787291314 & 1.48341153325899 \tabularnewline
49 & 8334 & 7865.62650500004 & -732.023820639251 & 468.373494999958 & -0.522778172290516 \tabularnewline
50 & 7899 & 8069.06280048829 & -209.173886402977 & -170.062800488291 & 0.897111131009624 \tabularnewline
51 & 9994 & 9722.77827146718 & 827.291058767452 & 271.221728532818 & 1.79205096694305 \tabularnewline
52 & 10078 & 10005.0217950179 & 521.710770271069 & 72.9782049820674 & -0.528686629366329 \tabularnewline
53 & 10801 & 11109.9716799997 & 849.32194922504 & -308.971679999675 & 0.563864035714061 \tabularnewline
54 & 12950 & 12477.300124829 & 1139.83584712041 & 472.699875170995 & 0.500265065412751 \tabularnewline
55 & 12222 & 12657.3485388216 & 601.458946626827 & -435.348538821627 & -0.92848884607518 \tabularnewline
56 & 12246 & 12553.8293105836 & 205.678334541945 & -307.82931058363 & -0.682757362868966 \tabularnewline
57 & 13281 & 12515.5877763886 & 68.6935341715651 & 765.412223611425 & -0.236313218790651 \tabularnewline
58 & 10366 & 10964.4377371255 & -840.614990383452 & -598.437737125506 & -1.56863599876224 \tabularnewline
59 & 8730 & 9565.77652123337 & -1153.54148981926 & -835.776521233368 & -0.540152329272331 \tabularnewline
60 & 9614 & 8888.03646705454 & -886.687775659592 & 725.963532945463 & 0.461662631890768 \tabularnewline
61 & 8639 & 8306.690983933 & -715.229879203745 & 332.309016066999 & 0.296185047892151 \tabularnewline
62 & 8772 & 9064.77622469673 & 107.659126927057 & -292.776224696734 & 1.41464503519166 \tabularnewline
63 & 10894 & 10315.1180430438 & 743.712793289261 & 578.881956956236 & 1.09861876190116 \tabularnewline
64 & 10455 & 10636.6470046626 & 507.562318731747 & -181.647004662561 & -0.40844387177564 \tabularnewline
65 & 11179 & 11563.6989392047 & 742.703219970153 & -384.698939204659 & 0.405145179550411 \tabularnewline
66 & 10588 & 10333.1973384423 & -362.048254600683 & 254.802661557727 & -1.90266619496205 \tabularnewline
67 & 10794 & 10934.755045691 & 177.353229385124 & -140.755045690985 & 0.930106422654493 \tabularnewline
68 & 12770 & 12772.6944109108 & 1107.52769658024 & -2.69441091081914 & 1.6045891727523 \tabularnewline
69 & 13812 & 12882.6239563394 & 548.552822161601 & 929.376043660577 & -0.964282349429455 \tabularnewline
70 & 10857 & 11596.4557565954 & -479.027399418875 & -739.455756595378 & -1.77275254850433 \tabularnewline
71 & 9290 & 10281.9990123041 & -946.58666394634 & -991.999012304065 & -0.807208817227284 \tabularnewline
72 & 10925 & 10077.6234065214 & -530.981480990336 & 847.376593478567 & 0.718515394167503 \tabularnewline
73 & 9491 & 9508.84517429251 & -552.157853337894 & -17.8451742925112 & -0.036546329786534 \tabularnewline
74 & 8919 & 9392.1390190638 & -309.128009406668 & -473.139019063807 & 0.41822895172767 \tabularnewline
75 & 11607 & 10680.2984258657 & 580.099475262832 & 926.701574134265 & 1.53513975731362 \tabularnewline
76 & 8852 & 9446.29735406746 & -433.122703138025 & -594.297354067462 & -1.75172497241091 \tabularnewline
77 & 12537 & 11898.7103655737 & 1181.78529082486 & 638.289634426253 & 2.78440649751616 \tabularnewline
78 & 14759 & 14556.48276353 & 2007.17026867099 & 202.517236469953 & 1.42187867034762 \tabularnewline
79 & 13667 & 14626.1060954186 & 924.119578371698 & -959.106095418592 & -1.86731904234343 \tabularnewline
80 & 13731 & 13840.9570159543 & -31.7422009369576 & -109.957015954295 & -1.64881369617127 \tabularnewline
81 & 15110 & 13765.2138552098 & -56.3544687177257 & 1344.78614479021 & -0.0424583037697665 \tabularnewline
82 & 12185 & 12882.0811042371 & -518.647143055857 & -697.08110423706 & -0.79759784755361 \tabularnewline
83 & 10645 & 11838.5683738808 & -812.006819142328 & -1193.56837388077 & -0.506501841676199 \tabularnewline
84 & 12161 & 11209.61747444 & -709.627742355653 & 951.382525560005 & 0.176899073617942 \tabularnewline
85 & 10840 & 10860.0449189886 & -508.222050303367 & -20.0449189885866 & 0.347430203911693 \tabularnewline
86 & 10436 & 11042.197413944 & -123.175690177255 & -606.197413944049 & 0.663032138689443 \tabularnewline
87 & 13589 & 12040.5488052724 & 501.16066565949 & 1548.45119472757 & 1.07755118158476 \tabularnewline
88 & 13402 & 14376.8235646716 & 1525.06366852822 & -974.823564671584 & 1.76952418853944 \tabularnewline
89 & 13103 & 13355.2994162465 & 101.610019729102 & -252.299416246479 & -2.45536284185536 \tabularnewline
90 & 14933 & 14172.9510158755 & 501.657253132698 & 760.048984124453 & 0.689338500931286 \tabularnewline
91 & 14147 & 14779.8046557168 & 560.398879964287 & -632.804655716825 & 0.101271267198624 \tabularnewline
92 & 14057 & 14355.8809266321 & 10.6449812786247 & -298.880926632082 & -0.948236866285564 \tabularnewline
93 & 16234 & 14626.3367491487 & 155.774738452499 & 1607.66325085127 & 0.250362654157559 \tabularnewline
94 & 12389 & 13220.235462686 & -716.452103778143 & -831.235462686027 & -1.50499014666315 \tabularnewline
95 & 11595 & 12705.96273657 & -603.560437140474 & -1110.96273657004 & 0.19491499620361 \tabularnewline
96 & 12772 & 11890.3672421402 & -722.030505085071 & 881.63275785981 & -0.2046162718561 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157980&T=1

[TABLE]
[ROW][C]Structural Time Series Model[/C][/ROW]
[ROW][C]t[/C][C]Observed[/C][C]Level[/C][C]Slope[/C][C]Seasonal[/C][C]Stand. Residuals[/C][/ROW]
[ROW][C]1[/C][C]6827[/C][C]6827[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]6178[/C][C]6235.72999967879[/C][C]-192.914170525312[/C][C]-57.7299996787866[/C][C]-0.574778114410533[/C][/ROW]
[ROW][C]3[/C][C]7084[/C][C]6955.50689232444[/C][C]334.606288353359[/C][C]128.493107675557[/C][C]0.95389445647014[/C][/ROW]
[ROW][C]4[/C][C]8162[/C][C]8120.634009912[/C][C]826.267415521286[/C][C]41.365990088004[/C][C]0.823301560173076[/C][/ROW]
[ROW][C]5[/C][C]8462[/C][C]8573.66794383423[/C][C]606.739534459744[/C][C]-111.667943834225[/C][C]-0.376797227115132[/C][/ROW]
[ROW][C]6[/C][C]9644[/C][C]9598.81967536548[/C][C]853.336399447329[/C][C]45.1803246345237[/C][C]0.425320769265379[/C][/ROW]
[ROW][C]7[/C][C]10466[/C][C]10503.975498204[/C][C]883.903923301319[/C][C]-37.9754982040229[/C][C]0.0527322670476683[/C][/ROW]
[ROW][C]8[/C][C]10748[/C][C]10852.2204925117[/C][C]567.88999308576[/C][C]-104.220492511689[/C][C]-0.545153208751944[/C][/ROW]
[ROW][C]9[/C][C]9963[/C][C]10145.3195386406[/C][C]-184.186575934015[/C][C]-182.319538640566[/C][C]-1.29739964132598[/C][/ROW]
[ROW][C]10[/C][C]8194[/C][C]8387.24800672685[/C][C]-1112.73491028067[/C][C]-193.24800672685[/C][C]-1.60182983339658[/C][/ROW]
[ROW][C]11[/C][C]6848[/C][C]6867.3350681929[/C][C]-1352.96206818034[/C][C]-19.335068192906[/C][C]-0.414413618261252[/C][/ROW]
[ROW][C]12[/C][C]7027[/C][C]6852.67845480312[/C][C]-563.383148161595[/C][C]174.321545196882[/C][C]1.3620952125226[/C][/ROW]
[ROW][C]13[/C][C]7269[/C][C]6784.0425280892[/C][C]-277.873418609141[/C][C]484.957471910796[/C][C]0.542688236554757[/C][/ROW]
[ROW][C]14[/C][C]6775[/C][C]6897.39773989598[/C][C]-65.4261736033918[/C][C]-122.397739895982[/C][C]0.344507859337332[/C][/ROW]
[ROW][C]15[/C][C]7819[/C][C]7688.1254111063[/C][C]412.435120740813[/C][C]130.8745888937[/C][C]0.841018538140299[/C][/ROW]
[ROW][C]16[/C][C]8371[/C][C]8255.31467996886[/C][C]501.252959956884[/C][C]115.68532003114[/C][C]0.151923131628945[/C][/ROW]
[ROW][C]17[/C][C]9069[/C][C]9181.87973716805[/C][C]744.146141145262[/C][C]-112.879737168047[/C][C]0.416422946279137[/C][/ROW]
[ROW][C]18[/C][C]10248[/C][C]10220.8450542819[/C][C]912.561132950694[/C][C]27.1549457181114[/C][C]0.290349635216842[/C][/ROW]
[ROW][C]19[/C][C]11030[/C][C]11093.7282885426[/C][C]889.866835569197[/C][C]-63.7282885425608[/C][C]-0.0391499634070024[/C][/ROW]
[ROW][C]20[/C][C]10882[/C][C]11038.4993927765[/C][C]349.139735978425[/C][C]-156.499392776549[/C][C]-0.932800728699087[/C][/ROW]
[ROW][C]21[/C][C]10333[/C][C]10409.4326959132[/C][C]-210.544436245805[/C][C]-76.4326959132472[/C][C]-0.965507318429454[/C][/ROW]
[ROW][C]22[/C][C]9109[/C][C]9296.5533257329[/C][C]-726.873511517815[/C][C]-187.553325732898[/C][C]-0.890734929607088[/C][/ROW]
[ROW][C]23[/C][C]7685[/C][C]7947.81172125518[/C][C]-1082.59954961503[/C][C]-262.811721255177[/C][C]-0.613651692538327[/C][/ROW]
[ROW][C]24[/C][C]7602[/C][C]7366.71645291029[/C][C]-796.580491196936[/C][C]235.283547089714[/C][C]0.494508040147718[/C][/ROW]
[ROW][C]25[/C][C]8350[/C][C]7702.4956049113[/C][C]-149.710111935777[/C][C]647.504395088695[/C][C]1.14589957543922[/C][/ROW]
[ROW][C]26[/C][C]7829[/C][C]8046.46464266816[/C][C]125.092172395768[/C][C]-217.464642668163[/C][C]0.464231642724525[/C][/ROW]
[ROW][C]27[/C][C]8829[/C][C]8642.04179214341[/C][C]386.404235479544[/C][C]186.958207856586[/C][C]0.455121245660314[/C][/ROW]
[ROW][C]28[/C][C]9948[/C][C]9792.20443543828[/C][C]819.166109948842[/C][C]155.795564561716[/C][C]0.746459150571526[/C][/ROW]
[ROW][C]29[/C][C]10638[/C][C]10832.5143392733[/C][C]944.295998903234[/C][C]-194.514339273294[/C][C]0.214681112723822[/C][/ROW]
[ROW][C]30[/C][C]11253[/C][C]11374.4996004604[/C][C]716.934742530202[/C][C]-121.499600460408[/C][C]-0.39171431248696[/C][/ROW]
[ROW][C]31[/C][C]11424[/C][C]11481.5397395437[/C][C]371.863143705294[/C][C]-57.5397395436881[/C][C]-0.5952759163829[/C][/ROW]
[ROW][C]32[/C][C]11391[/C][C]11464.5845785001[/C][C]151.722888053592[/C][C]-73.5845785000723[/C][C]-0.379759338911301[/C][/ROW]
[ROW][C]33[/C][C]10665[/C][C]10719.4914499304[/C][C]-356.136495730389[/C][C]-54.4914499303501[/C][C]-0.876112269506826[/C][/ROW]
[ROW][C]34[/C][C]9396[/C][C]9536.19362162094[/C][C]-824.512289154791[/C][C]-140.193621620939[/C][C]-0.808019835464824[/C][/ROW]
[ROW][C]35[/C][C]7775[/C][C]8154.81763538249[/C][C]-1139.49112282438[/C][C]-379.81763538249[/C][C]-0.543386802309635[/C][/ROW]
[ROW][C]36[/C][C]7933[/C][C]7726.71773193834[/C][C]-737.896775568156[/C][C]206.282268061664[/C][C]0.695355421422496[/C][/ROW]
[ROW][C]37[/C][C]8186[/C][C]7518.40455493255[/C][C]-437.948570842746[/C][C]667.595445067454[/C][C]0.522227987553597[/C][/ROW]
[ROW][C]38[/C][C]7444[/C][C]7649.99974357534[/C][C]-119.63045451203[/C][C]-205.999743575345[/C][C]0.543881385322524[/C][/ROW]
[ROW][C]39[/C][C]8484[/C][C]8335.61840322281[/C][C]327.981879822604[/C][C]148.381596777189[/C][C]0.775645311676447[/C][/ROW]
[ROW][C]40[/C][C]9864[/C][C]9625.77463541085[/C][C]869.5027654863[/C][C]238.225364589152[/C][C]0.936528805330544[/C][/ROW]
[ROW][C]41[/C][C]10252[/C][C]10436.6615860043[/C][C]836.482940725582[/C][C]-184.661586004336[/C][C]-0.0567459661542848[/C][/ROW]
[ROW][C]42[/C][C]12282[/C][C]12171.6230873729[/C][C]1341.74843598701[/C][C]110.376912627092[/C][C]0.870137048762232[/C][/ROW]
[ROW][C]43[/C][C]11637[/C][C]11982.5343806238[/C][C]480.288164293952[/C][C]-345.534380623775[/C][C]-1.48592999059447[/C][/ROW]
[ROW][C]44[/C][C]11577[/C][C]11622.5262330133[/C][C]7.00500994754224[/C][C]-45.5262330133048[/C][C]-0.816457465918757[/C][/ROW]
[ROW][C]45[/C][C]12417[/C][C]12164.0706220538[/C][C]308.168226776074[/C][C]252.929377946174[/C][C]0.519541866954483[/C][/ROW]
[ROW][C]46[/C][C]9637[/C][C]10069.1894408799[/C][C]-1045.30891182512[/C][C]-432.18944087994[/C][C]-2.33487207543912[/C][/ROW]
[ROW][C]47[/C][C]8094[/C][C]8594.35067697091[/C][C]-1286.92488042044[/C][C]-500.350676970911[/C][C]-0.416943266325792[/C][/ROW]
[ROW][C]48[/C][C]9280[/C][C]8831.65221270869[/C][C]-430.054608517496[/C][C]448.347787291314[/C][C]1.48341153325899[/C][/ROW]
[ROW][C]49[/C][C]8334[/C][C]7865.62650500004[/C][C]-732.023820639251[/C][C]468.373494999958[/C][C]-0.522778172290516[/C][/ROW]
[ROW][C]50[/C][C]7899[/C][C]8069.06280048829[/C][C]-209.173886402977[/C][C]-170.062800488291[/C][C]0.897111131009624[/C][/ROW]
[ROW][C]51[/C][C]9994[/C][C]9722.77827146718[/C][C]827.291058767452[/C][C]271.221728532818[/C][C]1.79205096694305[/C][/ROW]
[ROW][C]52[/C][C]10078[/C][C]10005.0217950179[/C][C]521.710770271069[/C][C]72.9782049820674[/C][C]-0.528686629366329[/C][/ROW]
[ROW][C]53[/C][C]10801[/C][C]11109.9716799997[/C][C]849.32194922504[/C][C]-308.971679999675[/C][C]0.563864035714061[/C][/ROW]
[ROW][C]54[/C][C]12950[/C][C]12477.300124829[/C][C]1139.83584712041[/C][C]472.699875170995[/C][C]0.500265065412751[/C][/ROW]
[ROW][C]55[/C][C]12222[/C][C]12657.3485388216[/C][C]601.458946626827[/C][C]-435.348538821627[/C][C]-0.92848884607518[/C][/ROW]
[ROW][C]56[/C][C]12246[/C][C]12553.8293105836[/C][C]205.678334541945[/C][C]-307.82931058363[/C][C]-0.682757362868966[/C][/ROW]
[ROW][C]57[/C][C]13281[/C][C]12515.5877763886[/C][C]68.6935341715651[/C][C]765.412223611425[/C][C]-0.236313218790651[/C][/ROW]
[ROW][C]58[/C][C]10366[/C][C]10964.4377371255[/C][C]-840.614990383452[/C][C]-598.437737125506[/C][C]-1.56863599876224[/C][/ROW]
[ROW][C]59[/C][C]8730[/C][C]9565.77652123337[/C][C]-1153.54148981926[/C][C]-835.776521233368[/C][C]-0.540152329272331[/C][/ROW]
[ROW][C]60[/C][C]9614[/C][C]8888.03646705454[/C][C]-886.687775659592[/C][C]725.963532945463[/C][C]0.461662631890768[/C][/ROW]
[ROW][C]61[/C][C]8639[/C][C]8306.690983933[/C][C]-715.229879203745[/C][C]332.309016066999[/C][C]0.296185047892151[/C][/ROW]
[ROW][C]62[/C][C]8772[/C][C]9064.77622469673[/C][C]107.659126927057[/C][C]-292.776224696734[/C][C]1.41464503519166[/C][/ROW]
[ROW][C]63[/C][C]10894[/C][C]10315.1180430438[/C][C]743.712793289261[/C][C]578.881956956236[/C][C]1.09861876190116[/C][/ROW]
[ROW][C]64[/C][C]10455[/C][C]10636.6470046626[/C][C]507.562318731747[/C][C]-181.647004662561[/C][C]-0.40844387177564[/C][/ROW]
[ROW][C]65[/C][C]11179[/C][C]11563.6989392047[/C][C]742.703219970153[/C][C]-384.698939204659[/C][C]0.405145179550411[/C][/ROW]
[ROW][C]66[/C][C]10588[/C][C]10333.1973384423[/C][C]-362.048254600683[/C][C]254.802661557727[/C][C]-1.90266619496205[/C][/ROW]
[ROW][C]67[/C][C]10794[/C][C]10934.755045691[/C][C]177.353229385124[/C][C]-140.755045690985[/C][C]0.930106422654493[/C][/ROW]
[ROW][C]68[/C][C]12770[/C][C]12772.6944109108[/C][C]1107.52769658024[/C][C]-2.69441091081914[/C][C]1.6045891727523[/C][/ROW]
[ROW][C]69[/C][C]13812[/C][C]12882.6239563394[/C][C]548.552822161601[/C][C]929.376043660577[/C][C]-0.964282349429455[/C][/ROW]
[ROW][C]70[/C][C]10857[/C][C]11596.4557565954[/C][C]-479.027399418875[/C][C]-739.455756595378[/C][C]-1.77275254850433[/C][/ROW]
[ROW][C]71[/C][C]9290[/C][C]10281.9990123041[/C][C]-946.58666394634[/C][C]-991.999012304065[/C][C]-0.807208817227284[/C][/ROW]
[ROW][C]72[/C][C]10925[/C][C]10077.6234065214[/C][C]-530.981480990336[/C][C]847.376593478567[/C][C]0.718515394167503[/C][/ROW]
[ROW][C]73[/C][C]9491[/C][C]9508.84517429251[/C][C]-552.157853337894[/C][C]-17.8451742925112[/C][C]-0.036546329786534[/C][/ROW]
[ROW][C]74[/C][C]8919[/C][C]9392.1390190638[/C][C]-309.128009406668[/C][C]-473.139019063807[/C][C]0.41822895172767[/C][/ROW]
[ROW][C]75[/C][C]11607[/C][C]10680.2984258657[/C][C]580.099475262832[/C][C]926.701574134265[/C][C]1.53513975731362[/C][/ROW]
[ROW][C]76[/C][C]8852[/C][C]9446.29735406746[/C][C]-433.122703138025[/C][C]-594.297354067462[/C][C]-1.75172497241091[/C][/ROW]
[ROW][C]77[/C][C]12537[/C][C]11898.7103655737[/C][C]1181.78529082486[/C][C]638.289634426253[/C][C]2.78440649751616[/C][/ROW]
[ROW][C]78[/C][C]14759[/C][C]14556.48276353[/C][C]2007.17026867099[/C][C]202.517236469953[/C][C]1.42187867034762[/C][/ROW]
[ROW][C]79[/C][C]13667[/C][C]14626.1060954186[/C][C]924.119578371698[/C][C]-959.106095418592[/C][C]-1.86731904234343[/C][/ROW]
[ROW][C]80[/C][C]13731[/C][C]13840.9570159543[/C][C]-31.7422009369576[/C][C]-109.957015954295[/C][C]-1.64881369617127[/C][/ROW]
[ROW][C]81[/C][C]15110[/C][C]13765.2138552098[/C][C]-56.3544687177257[/C][C]1344.78614479021[/C][C]-0.0424583037697665[/C][/ROW]
[ROW][C]82[/C][C]12185[/C][C]12882.0811042371[/C][C]-518.647143055857[/C][C]-697.08110423706[/C][C]-0.79759784755361[/C][/ROW]
[ROW][C]83[/C][C]10645[/C][C]11838.5683738808[/C][C]-812.006819142328[/C][C]-1193.56837388077[/C][C]-0.506501841676199[/C][/ROW]
[ROW][C]84[/C][C]12161[/C][C]11209.61747444[/C][C]-709.627742355653[/C][C]951.382525560005[/C][C]0.176899073617942[/C][/ROW]
[ROW][C]85[/C][C]10840[/C][C]10860.0449189886[/C][C]-508.222050303367[/C][C]-20.0449189885866[/C][C]0.347430203911693[/C][/ROW]
[ROW][C]86[/C][C]10436[/C][C]11042.197413944[/C][C]-123.175690177255[/C][C]-606.197413944049[/C][C]0.663032138689443[/C][/ROW]
[ROW][C]87[/C][C]13589[/C][C]12040.5488052724[/C][C]501.16066565949[/C][C]1548.45119472757[/C][C]1.07755118158476[/C][/ROW]
[ROW][C]88[/C][C]13402[/C][C]14376.8235646716[/C][C]1525.06366852822[/C][C]-974.823564671584[/C][C]1.76952418853944[/C][/ROW]
[ROW][C]89[/C][C]13103[/C][C]13355.2994162465[/C][C]101.610019729102[/C][C]-252.299416246479[/C][C]-2.45536284185536[/C][/ROW]
[ROW][C]90[/C][C]14933[/C][C]14172.9510158755[/C][C]501.657253132698[/C][C]760.048984124453[/C][C]0.689338500931286[/C][/ROW]
[ROW][C]91[/C][C]14147[/C][C]14779.8046557168[/C][C]560.398879964287[/C][C]-632.804655716825[/C][C]0.101271267198624[/C][/ROW]
[ROW][C]92[/C][C]14057[/C][C]14355.8809266321[/C][C]10.6449812786247[/C][C]-298.880926632082[/C][C]-0.948236866285564[/C][/ROW]
[ROW][C]93[/C][C]16234[/C][C]14626.3367491487[/C][C]155.774738452499[/C][C]1607.66325085127[/C][C]0.250362654157559[/C][/ROW]
[ROW][C]94[/C][C]12389[/C][C]13220.235462686[/C][C]-716.452103778143[/C][C]-831.235462686027[/C][C]-1.50499014666315[/C][/ROW]
[ROW][C]95[/C][C]11595[/C][C]12705.96273657[/C][C]-603.560437140474[/C][C]-1110.96273657004[/C][C]0.19491499620361[/C][/ROW]
[ROW][C]96[/C][C]12772[/C][C]11890.3672421402[/C][C]-722.030505085071[/C][C]881.63275785981[/C][C]-0.2046162718561[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157980&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157980&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
168276827000
261786235.72999967879-192.914170525312-57.7299996787866-0.574778114410533
370846955.50689232444334.606288353359128.4931076755570.95389445647014
481628120.634009912826.26741552128641.3659900880040.823301560173076
584628573.66794383423606.739534459744-111.667943834225-0.376797227115132
696449598.81967536548853.33639944732945.18032463452370.425320769265379
71046610503.975498204883.903923301319-37.97549820402290.0527322670476683
81074810852.2204925117567.88999308576-104.220492511689-0.545153208751944
9996310145.3195386406-184.186575934015-182.319538640566-1.29739964132598
1081948387.24800672685-1112.73491028067-193.24800672685-1.60182983339658
1168486867.3350681929-1352.96206818034-19.335068192906-0.414413618261252
1270276852.67845480312-563.383148161595174.3215451968821.3620952125226
1372696784.0425280892-277.873418609141484.9574719107960.542688236554757
1467756897.39773989598-65.4261736033918-122.3977398959820.344507859337332
1578197688.1254111063412.435120740813130.87458889370.841018538140299
1683718255.31467996886501.252959956884115.685320031140.151923131628945
1790699181.87973716805744.146141145262-112.8797371680470.416422946279137
181024810220.8450542819912.56113295069427.15494571811140.290349635216842
191103011093.7282885426889.866835569197-63.7282885425608-0.0391499634070024
201088211038.4993927765349.139735978425-156.499392776549-0.932800728699087
211033310409.4326959132-210.544436245805-76.4326959132472-0.965507318429454
2291099296.5533257329-726.873511517815-187.553325732898-0.890734929607088
2376857947.81172125518-1082.59954961503-262.811721255177-0.613651692538327
2476027366.71645291029-796.580491196936235.2835470897140.494508040147718
2583507702.4956049113-149.710111935777647.5043950886951.14589957543922
2678298046.46464266816125.092172395768-217.4646426681630.464231642724525
2788298642.04179214341386.404235479544186.9582078565860.455121245660314
2899489792.20443543828819.166109948842155.7955645617160.746459150571526
291063810832.5143392733944.295998903234-194.5143392732940.214681112723822
301125311374.4996004604716.934742530202-121.499600460408-0.39171431248696
311142411481.5397395437371.863143705294-57.5397395436881-0.5952759163829
321139111464.5845785001151.722888053592-73.5845785000723-0.379759338911301
331066510719.4914499304-356.136495730389-54.4914499303501-0.876112269506826
3493969536.19362162094-824.512289154791-140.193621620939-0.808019835464824
3577758154.81763538249-1139.49112282438-379.81763538249-0.543386802309635
3679337726.71773193834-737.896775568156206.2822680616640.695355421422496
3781867518.40455493255-437.948570842746667.5954450674540.522227987553597
3874447649.99974357534-119.63045451203-205.9997435753450.543881385322524
3984848335.61840322281327.981879822604148.3815967771890.775645311676447
4098649625.77463541085869.5027654863238.2253645891520.936528805330544
411025210436.6615860043836.482940725582-184.661586004336-0.0567459661542848
421228212171.62308737291341.74843598701110.3769126270920.870137048762232
431163711982.5343806238480.288164293952-345.534380623775-1.48592999059447
441157711622.52623301337.00500994754224-45.5262330133048-0.816457465918757
451241712164.0706220538308.168226776074252.9293779461740.519541866954483
46963710069.1894408799-1045.30891182512-432.18944087994-2.33487207543912
4780948594.35067697091-1286.92488042044-500.350676970911-0.416943266325792
4892808831.65221270869-430.054608517496448.3477872913141.48341153325899
4983347865.62650500004-732.023820639251468.373494999958-0.522778172290516
5078998069.06280048829-209.173886402977-170.0628004882910.897111131009624
5199949722.77827146718827.291058767452271.2217285328181.79205096694305
521007810005.0217950179521.71077027106972.9782049820674-0.528686629366329
531080111109.9716799997849.32194922504-308.9716799996750.563864035714061
541295012477.3001248291139.83584712041472.6998751709950.500265065412751
551222212657.3485388216601.458946626827-435.348538821627-0.92848884607518
561224612553.8293105836205.678334541945-307.82931058363-0.682757362868966
571328112515.587776388668.6935341715651765.412223611425-0.236313218790651
581036610964.4377371255-840.614990383452-598.437737125506-1.56863599876224
5987309565.77652123337-1153.54148981926-835.776521233368-0.540152329272331
6096148888.03646705454-886.687775659592725.9635329454630.461662631890768
6186398306.690983933-715.229879203745332.3090160669990.296185047892151
6287729064.77622469673107.659126927057-292.7762246967341.41464503519166
631089410315.1180430438743.712793289261578.8819569562361.09861876190116
641045510636.6470046626507.562318731747-181.647004662561-0.40844387177564
651117911563.6989392047742.703219970153-384.6989392046590.405145179550411
661058810333.1973384423-362.048254600683254.802661557727-1.90266619496205
671079410934.755045691177.353229385124-140.7550456909850.930106422654493
681277012772.69441091081107.52769658024-2.694410910819141.6045891727523
691381212882.6239563394548.552822161601929.376043660577-0.964282349429455
701085711596.4557565954-479.027399418875-739.455756595378-1.77275254850433
71929010281.9990123041-946.58666394634-991.999012304065-0.807208817227284
721092510077.6234065214-530.981480990336847.3765934785670.718515394167503
7394919508.84517429251-552.157853337894-17.8451742925112-0.036546329786534
7489199392.1390190638-309.128009406668-473.1390190638070.41822895172767
751160710680.2984258657580.099475262832926.7015741342651.53513975731362
7688529446.29735406746-433.122703138025-594.297354067462-1.75172497241091
771253711898.71036557371181.78529082486638.2896344262532.78440649751616
781475914556.482763532007.17026867099202.5172364699531.42187867034762
791366714626.1060954186924.119578371698-959.106095418592-1.86731904234343
801373113840.9570159543-31.7422009369576-109.957015954295-1.64881369617127
811511013765.2138552098-56.35446871772571344.78614479021-0.0424583037697665
821218512882.0811042371-518.647143055857-697.08110423706-0.79759784755361
831064511838.5683738808-812.006819142328-1193.56837388077-0.506501841676199
841216111209.61747444-709.627742355653951.3825255600050.176899073617942
851084010860.0449189886-508.222050303367-20.04491898858660.347430203911693
861043611042.197413944-123.175690177255-606.1974139440490.663032138689443
871358912040.5488052724501.160665659491548.451194727571.07755118158476
881340214376.82356467161525.06366852822-974.8235646715841.76952418853944
891310313355.2994162465101.610019729102-252.299416246479-2.45536284185536
901493314172.9510158755501.657253132698760.0489841244530.689338500931286
911414714779.8046557168560.398879964287-632.8046557168250.101271267198624
921405714355.880926632110.6449812786247-298.880926632082-0.948236866285564
931623414626.3367491487155.7747384524991607.663250851270.250362654157559
941238913220.235462686-716.452103778143-831.235462686027-1.50499014666315
951159512705.96273657-603.560437140474-1110.962736570040.19491499620361
961277211890.3672421402-722.030505085071881.63275785981-0.2046162718561



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b')
grid()
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')