## 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 computationSat, 26 Nov 2011 09:29:17 -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/Nov/26/t1322317807f97g1q92rd8cw1o.htm/, Retrieved Sun, 05 Feb 2023 14:01:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147409, Retrieved Sun, 05 Feb 2023 14:01:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [WS 8 - Structural...] [2011-11-26 14:29:17] [01668b8db120351c61467eadc96b2965] [Current]
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Dataseries X:
9700
9081
9084
9743
8587
9731
9563
9998
9437
10038
9918
9252
9737
9035
9133
9487
8700
9627
8947
9283
8829
9947
9628
9318
9605
8640
9214
9567
8547
9185
9470
9123
9278
10170
9434
9655
9429
8739
9552
9687
9019
9672
9206
9069
9788
10312
10105
9863
9656
9295
9946
9701
9049
10190
9706
9765
9893
9994
10433
10073
10112
9266
9820
10097
9115
10411
9678
10408
10153
10368
10581
10597
10680
9738
9556

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147409&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147409&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147409&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'AstonUniversity' @ aston.wessa.net

 Structural Time Series Model t Observed Level Slope Seasonal Stand. Residuals 1 9700 9700 0 0 0 2 9081 9420.75450143316 -4.57323719029182 -334.807899115417 -1.94834013632446 3 9084 9148.23690533508 -22.2229146322506 -61.4760003105638 -1.35940558228141 4 9743 9343.3410893296 -8.81350400055626 396.802512755963 1.35792880524648 5 8587 9095.71792616632 -19.3898286098834 -504.931356723109 -1.70068400570002 6 9731 9271.8098096163 -13.6789709574988 455.875165586204 1.44995580907109 7 9563 9434.3419938712 -10.0335857183998 125.612554401045 1.31903750930236 8 9998 9698.05321184868 -5.3287449179581 295.19507000796 2.05149393903093 9 9437 9674.89339629866 -5.61986801785221 -237.5839449585 -0.133514733832356 10 10038 9807.9599625221 -3.34218991531362 227.636519697675 1.03724816845382 11 9918 9889.1118146233 -1.93650787035048 27.4255473642788 0.6314277490997 12 9252 9667.92152658138 -5.59569782119897 -412.128213795466 -1.63791142714891 13 9737 9552.09646360713 -3.60297502605207 186.867956364579 -0.867993514739218 14 9035 9409.60408920573 -2.67806138231115 -372.145429557391 -1.07958564974153 15 9133 9311.8670562481 -4.16396481957125 -177.363252235036 -0.67266590846052 16 9487 9154.7049266868 -8.33657128828147 334.584414763756 -1.05065058009594 17 8700 9193.58255742851 -6.97670755254194 -494.30617022458 0.333375757119034 18 9627 9253.45661914782 -5.30619486369144 372.47736536272 0.487314530858606 19 8947 9171.22218329847 -6.8489039452291 -222.963887319412 -0.570816284511288 20 9283 9097.5437699252 -7.92764326966444 186.562643494913 -0.499537504676475 21 8829 9104.99880734835 -7.72006152946614 -276.254767306947 0.115256870510946 22 9947 9330.401327745 -5.08068646725834 612.71196511763 1.74690752842199 23 9628 9424.0075377992 -4.23375213024213 202.345169841292 0.739029481362515 24 9318 9518.233353789 -3.76373048259059 -201.881264385133 0.738235804272518 25 9605 9459.67914841382 -3.82810473375604 146.243003672187 -0.412983398291401 26 8640 9244.05520062057 -4.5614664474363 -600.521714378761 -1.58335108754847 27 9214 9214.62719890013 -4.81019516280528 -0.22464114649487 -0.181371770740218 28 9567 9224.516761558 -4.57400113307158 342.251417518535 0.105411069767361 29 8547 9155.49379595095 -5.80539090009781 -607.480281767522 -0.463548212929267 30 9185 8982.94359899634 -8.98969150139358 204.715084781184 -1.21612242545158 31 9470 9195.95005020216 -5.17614871686062 270.452461626172 1.64058433173774 32 9123 9183.67764068775 -5.27922954825366 -60.5613089813522 -0.0528669508714306 33 9278 9382.19726346708 -2.87328272037568 -107.559720361746 1.5236769346327 34 10170 9524.09469487191 -1.54036934419529 643.509448971725 1.08334525580578 35 9434 9459.83031998424 -1.96703685693058 -24.7907015091494 -0.469402423735074 36 9655 9554.2111387519 -1.49176664531097 99.1904466203823 0.721117644780371 37 9429 9426.44024351576 -2.04143743527976 4.65246249873495 -0.94390669372978 38 8739 9354.04484078152 -2.44741155897752 -613.887181820166 -0.52257735361842 39 9552 9400.49104181577 -2.02045921379527 150.715049174559 0.359346060548004 40 9687 9364.46944021814 -2.42468218856774 323.075912981341 -0.247865446690069 41 9019 9439.2406026585 -1.34112591070702 -421.473969794341 0.562504440206011 42 9672 9526.31204832682 -0.0428513508651429 144.268435267398 0.64814736397209 43 9206 9354.37026517756 -2.44559839392539 -145.585843110317 -1.2701001625453 44 9069 9291.78863492691 -3.18985192897205 -221.806596474209 -0.4470367361601 45 9788 9527.2691993719 -0.71589068617328 256.811673152004 1.78023707522975 46 10312 9624.42082805441 0.100170390095405 685.967142746008 0.730999398129028 47 10105 9836.12068994242 1.50193541449598 265.388717012408 1.58105311970829 48 9863 9824.44272464268 1.42873328858631 38.7747351140736 -0.0984385370787065 49 9656 9747.28648110487 1.00259473583613 -89.9922998100579 -0.585806296407066 50 9295 9801.81326763457 1.34088482098732 -507.69042163976 0.397302840410875 51 9946 9816.20255551631 1.44476309446794 129.585144443431 0.0963122419887453 52 9701 9677.00316972274 0.0714613300482087 26.270297346684 -1.0336560688549 53 9049 9569.03808422818 -1.13203119590869 -518.296349569519 -0.793453922902278 54 10190 9686.25380915568 0.255628143352628 501.834536365409 0.87166070665636 55 9706 9795.08371932902 1.49968239644785 -90.8459012856327 0.803256547155335 56 9765 9964.8495425342 3.26806929279488 -202.594791905987 1.24994318954811 57 9893 9928.3794111347 2.90356737883564 -34.728420318324 -0.295988750252327 58 9994 9736.87356064694 1.39315731484946 260.319591394797 -1.45005227890209 59 10433 9841.16984845244 2.07211549502545 590.137780993964 0.76785759012792 60 10073 9924.9231069369 2.55428630773501 146.733500356274 0.609236964687423 61 10112 10052.7997058889 3.28499710432706 57.1422558867383 0.93330041507913 62 9266 9964.62348979044 2.70209668546316 -697.126316059047 -0.67926581475193 63 9820 9805.68357171138 1.51495021034942 16.9512711711893 -1.19658207327127 64 10097 9863.91284314564 1.99306605262294 232.16612168332 0.418809574824304 65 9115 9841.34154179606 1.76455060490202 -725.94329780538 -0.181296573386226 66 10411 9901.66119152187 2.33417542623351 508.388716623748 0.432784215057325 67 9678 9895.0958122416 2.24852864652447 -216.951027647743 -0.0659462390872501 68 10408 10131.518557488 4.36911179243316 272.659302302699 1.73978933267392 69 10153 10180.004637344 4.73063532414807 -27.7267648139687 0.328412380568315 70 10368 10200.9383803914 4.84828292513222 166.79586815495 0.120757261637749 71 10581 10156.2675107526 4.52786575459365 425.545517013987 -0.369203429549534 72 10597 10266.9790642662 5.16437023326159 328.277479977141 0.791437348961157 73 10680 10388.5765997519 5.85381681877687 289.513630460247 0.866899581061993 74 9738 10404.3992444693 5.91598737040549 -666.562423290676 0.0740933883024219 75 9556 10104.9944128139 3.83319949892939 -544.009399803566 -2.26486452572958

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 9700 & 9700 & 0 & 0 & 0 \tabularnewline
2 & 9081 & 9420.75450143316 & -4.57323719029182 & -334.807899115417 & -1.94834013632446 \tabularnewline
3 & 9084 & 9148.23690533508 & -22.2229146322506 & -61.4760003105638 & -1.35940558228141 \tabularnewline
4 & 9743 & 9343.3410893296 & -8.81350400055626 & 396.802512755963 & 1.35792880524648 \tabularnewline
5 & 8587 & 9095.71792616632 & -19.3898286098834 & -504.931356723109 & -1.70068400570002 \tabularnewline
6 & 9731 & 9271.8098096163 & -13.6789709574988 & 455.875165586204 & 1.44995580907109 \tabularnewline
7 & 9563 & 9434.3419938712 & -10.0335857183998 & 125.612554401045 & 1.31903750930236 \tabularnewline
8 & 9998 & 9698.05321184868 & -5.3287449179581 & 295.19507000796 & 2.05149393903093 \tabularnewline
9 & 9437 & 9674.89339629866 & -5.61986801785221 & -237.5839449585 & -0.133514733832356 \tabularnewline
10 & 10038 & 9807.9599625221 & -3.34218991531362 & 227.636519697675 & 1.03724816845382 \tabularnewline
11 & 9918 & 9889.1118146233 & -1.93650787035048 & 27.4255473642788 & 0.6314277490997 \tabularnewline
12 & 9252 & 9667.92152658138 & -5.59569782119897 & -412.128213795466 & -1.63791142714891 \tabularnewline
13 & 9737 & 9552.09646360713 & -3.60297502605207 & 186.867956364579 & -0.867993514739218 \tabularnewline
14 & 9035 & 9409.60408920573 & -2.67806138231115 & -372.145429557391 & -1.07958564974153 \tabularnewline
15 & 9133 & 9311.8670562481 & -4.16396481957125 & -177.363252235036 & -0.67266590846052 \tabularnewline
16 & 9487 & 9154.7049266868 & -8.33657128828147 & 334.584414763756 & -1.05065058009594 \tabularnewline
17 & 8700 & 9193.58255742851 & -6.97670755254194 & -494.30617022458 & 0.333375757119034 \tabularnewline
18 & 9627 & 9253.45661914782 & -5.30619486369144 & 372.47736536272 & 0.487314530858606 \tabularnewline
19 & 8947 & 9171.22218329847 & -6.8489039452291 & -222.963887319412 & -0.570816284511288 \tabularnewline
20 & 9283 & 9097.5437699252 & -7.92764326966444 & 186.562643494913 & -0.499537504676475 \tabularnewline
21 & 8829 & 9104.99880734835 & -7.72006152946614 & -276.254767306947 & 0.115256870510946 \tabularnewline
22 & 9947 & 9330.401327745 & -5.08068646725834 & 612.71196511763 & 1.74690752842199 \tabularnewline
23 & 9628 & 9424.0075377992 & -4.23375213024213 & 202.345169841292 & 0.739029481362515 \tabularnewline
24 & 9318 & 9518.233353789 & -3.76373048259059 & -201.881264385133 & 0.738235804272518 \tabularnewline
25 & 9605 & 9459.67914841382 & -3.82810473375604 & 146.243003672187 & -0.412983398291401 \tabularnewline
26 & 8640 & 9244.05520062057 & -4.5614664474363 & -600.521714378761 & -1.58335108754847 \tabularnewline
27 & 9214 & 9214.62719890013 & -4.81019516280528 & -0.22464114649487 & -0.181371770740218 \tabularnewline
28 & 9567 & 9224.516761558 & -4.57400113307158 & 342.251417518535 & 0.105411069767361 \tabularnewline
29 & 8547 & 9155.49379595095 & -5.80539090009781 & -607.480281767522 & -0.463548212929267 \tabularnewline
30 & 9185 & 8982.94359899634 & -8.98969150139358 & 204.715084781184 & -1.21612242545158 \tabularnewline
31 & 9470 & 9195.95005020216 & -5.17614871686062 & 270.452461626172 & 1.64058433173774 \tabularnewline
32 & 9123 & 9183.67764068775 & -5.27922954825366 & -60.5613089813522 & -0.0528669508714306 \tabularnewline
33 & 9278 & 9382.19726346708 & -2.87328272037568 & -107.559720361746 & 1.5236769346327 \tabularnewline
34 & 10170 & 9524.09469487191 & -1.54036934419529 & 643.509448971725 & 1.08334525580578 \tabularnewline
35 & 9434 & 9459.83031998424 & -1.96703685693058 & -24.7907015091494 & -0.469402423735074 \tabularnewline
36 & 9655 & 9554.2111387519 & -1.49176664531097 & 99.1904466203823 & 0.721117644780371 \tabularnewline
37 & 9429 & 9426.44024351576 & -2.04143743527976 & 4.65246249873495 & -0.94390669372978 \tabularnewline
38 & 8739 & 9354.04484078152 & -2.44741155897752 & -613.887181820166 & -0.52257735361842 \tabularnewline
39 & 9552 & 9400.49104181577 & -2.02045921379527 & 150.715049174559 & 0.359346060548004 \tabularnewline
40 & 9687 & 9364.46944021814 & -2.42468218856774 & 323.075912981341 & -0.247865446690069 \tabularnewline
41 & 9019 & 9439.2406026585 & -1.34112591070702 & -421.473969794341 & 0.562504440206011 \tabularnewline
42 & 9672 & 9526.31204832682 & -0.0428513508651429 & 144.268435267398 & 0.64814736397209 \tabularnewline
43 & 9206 & 9354.37026517756 & -2.44559839392539 & -145.585843110317 & -1.2701001625453 \tabularnewline
44 & 9069 & 9291.78863492691 & -3.18985192897205 & -221.806596474209 & -0.4470367361601 \tabularnewline
45 & 9788 & 9527.2691993719 & -0.71589068617328 & 256.811673152004 & 1.78023707522975 \tabularnewline
46 & 10312 & 9624.42082805441 & 0.100170390095405 & 685.967142746008 & 0.730999398129028 \tabularnewline
47 & 10105 & 9836.12068994242 & 1.50193541449598 & 265.388717012408 & 1.58105311970829 \tabularnewline
48 & 9863 & 9824.44272464268 & 1.42873328858631 & 38.7747351140736 & -0.0984385370787065 \tabularnewline
49 & 9656 & 9747.28648110487 & 1.00259473583613 & -89.9922998100579 & -0.585806296407066 \tabularnewline
50 & 9295 & 9801.81326763457 & 1.34088482098732 & -507.69042163976 & 0.397302840410875 \tabularnewline
51 & 9946 & 9816.20255551631 & 1.44476309446794 & 129.585144443431 & 0.0963122419887453 \tabularnewline
52 & 9701 & 9677.00316972274 & 0.0714613300482087 & 26.270297346684 & -1.0336560688549 \tabularnewline
53 & 9049 & 9569.03808422818 & -1.13203119590869 & -518.296349569519 & -0.793453922902278 \tabularnewline
54 & 10190 & 9686.25380915568 & 0.255628143352628 & 501.834536365409 & 0.87166070665636 \tabularnewline
55 & 9706 & 9795.08371932902 & 1.49968239644785 & -90.8459012856327 & 0.803256547155335 \tabularnewline
56 & 9765 & 9964.8495425342 & 3.26806929279488 & -202.594791905987 & 1.24994318954811 \tabularnewline
57 & 9893 & 9928.3794111347 & 2.90356737883564 & -34.728420318324 & -0.295988750252327 \tabularnewline
58 & 9994 & 9736.87356064694 & 1.39315731484946 & 260.319591394797 & -1.45005227890209 \tabularnewline
59 & 10433 & 9841.16984845244 & 2.07211549502545 & 590.137780993964 & 0.76785759012792 \tabularnewline
60 & 10073 & 9924.9231069369 & 2.55428630773501 & 146.733500356274 & 0.609236964687423 \tabularnewline
61 & 10112 & 10052.7997058889 & 3.28499710432706 & 57.1422558867383 & 0.93330041507913 \tabularnewline
62 & 9266 & 9964.62348979044 & 2.70209668546316 & -697.126316059047 & -0.67926581475193 \tabularnewline
63 & 9820 & 9805.68357171138 & 1.51495021034942 & 16.9512711711893 & -1.19658207327127 \tabularnewline
64 & 10097 & 9863.91284314564 & 1.99306605262294 & 232.16612168332 & 0.418809574824304 \tabularnewline
65 & 9115 & 9841.34154179606 & 1.76455060490202 & -725.94329780538 & -0.181296573386226 \tabularnewline
66 & 10411 & 9901.66119152187 & 2.33417542623351 & 508.388716623748 & 0.432784215057325 \tabularnewline
67 & 9678 & 9895.0958122416 & 2.24852864652447 & -216.951027647743 & -0.0659462390872501 \tabularnewline
68 & 10408 & 10131.518557488 & 4.36911179243316 & 272.659302302699 & 1.73978933267392 \tabularnewline
69 & 10153 & 10180.004637344 & 4.73063532414807 & -27.7267648139687 & 0.328412380568315 \tabularnewline
70 & 10368 & 10200.9383803914 & 4.84828292513222 & 166.79586815495 & 0.120757261637749 \tabularnewline
71 & 10581 & 10156.2675107526 & 4.52786575459365 & 425.545517013987 & -0.369203429549534 \tabularnewline
72 & 10597 & 10266.9790642662 & 5.16437023326159 & 328.277479977141 & 0.791437348961157 \tabularnewline
73 & 10680 & 10388.5765997519 & 5.85381681877687 & 289.513630460247 & 0.866899581061993 \tabularnewline
74 & 9738 & 10404.3992444693 & 5.91598737040549 & -666.562423290676 & 0.0740933883024219 \tabularnewline
75 & 9556 & 10104.9944128139 & 3.83319949892939 & -544.009399803566 & -2.26486452572958 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147409&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]9700[/C][C]9700[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]9081[/C][C]9420.75450143316[/C][C]-4.57323719029182[/C][C]-334.807899115417[/C][C]-1.94834013632446[/C][/ROW]
[ROW][C]3[/C][C]9084[/C][C]9148.23690533508[/C][C]-22.2229146322506[/C][C]-61.4760003105638[/C][C]-1.35940558228141[/C][/ROW]
[ROW][C]4[/C][C]9743[/C][C]9343.3410893296[/C][C]-8.81350400055626[/C][C]396.802512755963[/C][C]1.35792880524648[/C][/ROW]
[ROW][C]5[/C][C]8587[/C][C]9095.71792616632[/C][C]-19.3898286098834[/C][C]-504.931356723109[/C][C]-1.70068400570002[/C][/ROW]
[ROW][C]6[/C][C]9731[/C][C]9271.8098096163[/C][C]-13.6789709574988[/C][C]455.875165586204[/C][C]1.44995580907109[/C][/ROW]
[ROW][C]7[/C][C]9563[/C][C]9434.3419938712[/C][C]-10.0335857183998[/C][C]125.612554401045[/C][C]1.31903750930236[/C][/ROW]
[ROW][C]8[/C][C]9998[/C][C]9698.05321184868[/C][C]-5.3287449179581[/C][C]295.19507000796[/C][C]2.05149393903093[/C][/ROW]
[ROW][C]9[/C][C]9437[/C][C]9674.89339629866[/C][C]-5.61986801785221[/C][C]-237.5839449585[/C][C]-0.133514733832356[/C][/ROW]
[ROW][C]10[/C][C]10038[/C][C]9807.9599625221[/C][C]-3.34218991531362[/C][C]227.636519697675[/C][C]1.03724816845382[/C][/ROW]
[ROW][C]11[/C][C]9918[/C][C]9889.1118146233[/C][C]-1.93650787035048[/C][C]27.4255473642788[/C][C]0.6314277490997[/C][/ROW]
[ROW][C]12[/C][C]9252[/C][C]9667.92152658138[/C][C]-5.59569782119897[/C][C]-412.128213795466[/C][C]-1.63791142714891[/C][/ROW]
[ROW][C]13[/C][C]9737[/C][C]9552.09646360713[/C][C]-3.60297502605207[/C][C]186.867956364579[/C][C]-0.867993514739218[/C][/ROW]
[ROW][C]14[/C][C]9035[/C][C]9409.60408920573[/C][C]-2.67806138231115[/C][C]-372.145429557391[/C][C]-1.07958564974153[/C][/ROW]
[ROW][C]15[/C][C]9133[/C][C]9311.8670562481[/C][C]-4.16396481957125[/C][C]-177.363252235036[/C][C]-0.67266590846052[/C][/ROW]
[ROW][C]16[/C][C]9487[/C][C]9154.7049266868[/C][C]-8.33657128828147[/C][C]334.584414763756[/C][C]-1.05065058009594[/C][/ROW]
[ROW][C]17[/C][C]8700[/C][C]9193.58255742851[/C][C]-6.97670755254194[/C][C]-494.30617022458[/C][C]0.333375757119034[/C][/ROW]
[ROW][C]18[/C][C]9627[/C][C]9253.45661914782[/C][C]-5.30619486369144[/C][C]372.47736536272[/C][C]0.487314530858606[/C][/ROW]
[ROW][C]19[/C][C]8947[/C][C]9171.22218329847[/C][C]-6.8489039452291[/C][C]-222.963887319412[/C][C]-0.570816284511288[/C][/ROW]
[ROW][C]20[/C][C]9283[/C][C]9097.5437699252[/C][C]-7.92764326966444[/C][C]186.562643494913[/C][C]-0.499537504676475[/C][/ROW]
[ROW][C]21[/C][C]8829[/C][C]9104.99880734835[/C][C]-7.72006152946614[/C][C]-276.254767306947[/C][C]0.115256870510946[/C][/ROW]
[ROW][C]22[/C][C]9947[/C][C]9330.401327745[/C][C]-5.08068646725834[/C][C]612.71196511763[/C][C]1.74690752842199[/C][/ROW]
[ROW][C]23[/C][C]9628[/C][C]9424.0075377992[/C][C]-4.23375213024213[/C][C]202.345169841292[/C][C]0.739029481362515[/C][/ROW]
[ROW][C]24[/C][C]9318[/C][C]9518.233353789[/C][C]-3.76373048259059[/C][C]-201.881264385133[/C][C]0.738235804272518[/C][/ROW]
[ROW][C]25[/C][C]9605[/C][C]9459.67914841382[/C][C]-3.82810473375604[/C][C]146.243003672187[/C][C]-0.412983398291401[/C][/ROW]
[ROW][C]26[/C][C]8640[/C][C]9244.05520062057[/C][C]-4.5614664474363[/C][C]-600.521714378761[/C][C]-1.58335108754847[/C][/ROW]
[ROW][C]27[/C][C]9214[/C][C]9214.62719890013[/C][C]-4.81019516280528[/C][C]-0.22464114649487[/C][C]-0.181371770740218[/C][/ROW]
[ROW][C]28[/C][C]9567[/C][C]9224.516761558[/C][C]-4.57400113307158[/C][C]342.251417518535[/C][C]0.105411069767361[/C][/ROW]
[ROW][C]29[/C][C]8547[/C][C]9155.49379595095[/C][C]-5.80539090009781[/C][C]-607.480281767522[/C][C]-0.463548212929267[/C][/ROW]
[ROW][C]30[/C][C]9185[/C][C]8982.94359899634[/C][C]-8.98969150139358[/C][C]204.715084781184[/C][C]-1.21612242545158[/C][/ROW]
[ROW][C]31[/C][C]9470[/C][C]9195.95005020216[/C][C]-5.17614871686062[/C][C]270.452461626172[/C][C]1.64058433173774[/C][/ROW]
[ROW][C]32[/C][C]9123[/C][C]9183.67764068775[/C][C]-5.27922954825366[/C][C]-60.5613089813522[/C][C]-0.0528669508714306[/C][/ROW]
[ROW][C]33[/C][C]9278[/C][C]9382.19726346708[/C][C]-2.87328272037568[/C][C]-107.559720361746[/C][C]1.5236769346327[/C][/ROW]
[ROW][C]34[/C][C]10170[/C][C]9524.09469487191[/C][C]-1.54036934419529[/C][C]643.509448971725[/C][C]1.08334525580578[/C][/ROW]
[ROW][C]35[/C][C]9434[/C][C]9459.83031998424[/C][C]-1.96703685693058[/C][C]-24.7907015091494[/C][C]-0.469402423735074[/C][/ROW]
[ROW][C]36[/C][C]9655[/C][C]9554.2111387519[/C][C]-1.49176664531097[/C][C]99.1904466203823[/C][C]0.721117644780371[/C][/ROW]
[ROW][C]37[/C][C]9429[/C][C]9426.44024351576[/C][C]-2.04143743527976[/C][C]4.65246249873495[/C][C]-0.94390669372978[/C][/ROW]
[ROW][C]38[/C][C]8739[/C][C]9354.04484078152[/C][C]-2.44741155897752[/C][C]-613.887181820166[/C][C]-0.52257735361842[/C][/ROW]
[ROW][C]39[/C][C]9552[/C][C]9400.49104181577[/C][C]-2.02045921379527[/C][C]150.715049174559[/C][C]0.359346060548004[/C][/ROW]
[ROW][C]40[/C][C]9687[/C][C]9364.46944021814[/C][C]-2.42468218856774[/C][C]323.075912981341[/C][C]-0.247865446690069[/C][/ROW]
[ROW][C]41[/C][C]9019[/C][C]9439.2406026585[/C][C]-1.34112591070702[/C][C]-421.473969794341[/C][C]0.562504440206011[/C][/ROW]
[ROW][C]42[/C][C]9672[/C][C]9526.31204832682[/C][C]-0.0428513508651429[/C][C]144.268435267398[/C][C]0.64814736397209[/C][/ROW]
[ROW][C]43[/C][C]9206[/C][C]9354.37026517756[/C][C]-2.44559839392539[/C][C]-145.585843110317[/C][C]-1.2701001625453[/C][/ROW]
[ROW][C]44[/C][C]9069[/C][C]9291.78863492691[/C][C]-3.18985192897205[/C][C]-221.806596474209[/C][C]-0.4470367361601[/C][/ROW]
[ROW][C]45[/C][C]9788[/C][C]9527.2691993719[/C][C]-0.71589068617328[/C][C]256.811673152004[/C][C]1.78023707522975[/C][/ROW]
[ROW][C]46[/C][C]10312[/C][C]9624.42082805441[/C][C]0.100170390095405[/C][C]685.967142746008[/C][C]0.730999398129028[/C][/ROW]
[ROW][C]47[/C][C]10105[/C][C]9836.12068994242[/C][C]1.50193541449598[/C][C]265.388717012408[/C][C]1.58105311970829[/C][/ROW]
[ROW][C]48[/C][C]9863[/C][C]9824.44272464268[/C][C]1.42873328858631[/C][C]38.7747351140736[/C][C]-0.0984385370787065[/C][/ROW]
[ROW][C]49[/C][C]9656[/C][C]9747.28648110487[/C][C]1.00259473583613[/C][C]-89.9922998100579[/C][C]-0.585806296407066[/C][/ROW]
[ROW][C]50[/C][C]9295[/C][C]9801.81326763457[/C][C]1.34088482098732[/C][C]-507.69042163976[/C][C]0.397302840410875[/C][/ROW]
[ROW][C]51[/C][C]9946[/C][C]9816.20255551631[/C][C]1.44476309446794[/C][C]129.585144443431[/C][C]0.0963122419887453[/C][/ROW]
[ROW][C]52[/C][C]9701[/C][C]9677.00316972274[/C][C]0.0714613300482087[/C][C]26.270297346684[/C][C]-1.0336560688549[/C][/ROW]
[ROW][C]53[/C][C]9049[/C][C]9569.03808422818[/C][C]-1.13203119590869[/C][C]-518.296349569519[/C][C]-0.793453922902278[/C][/ROW]
[ROW][C]54[/C][C]10190[/C][C]9686.25380915568[/C][C]0.255628143352628[/C][C]501.834536365409[/C][C]0.87166070665636[/C][/ROW]
[ROW][C]55[/C][C]9706[/C][C]9795.08371932902[/C][C]1.49968239644785[/C][C]-90.8459012856327[/C][C]0.803256547155335[/C][/ROW]
[ROW][C]56[/C][C]9765[/C][C]9964.8495425342[/C][C]3.26806929279488[/C][C]-202.594791905987[/C][C]1.24994318954811[/C][/ROW]
[ROW][C]57[/C][C]9893[/C][C]9928.3794111347[/C][C]2.90356737883564[/C][C]-34.728420318324[/C][C]-0.295988750252327[/C][/ROW]
[ROW][C]58[/C][C]9994[/C][C]9736.87356064694[/C][C]1.39315731484946[/C][C]260.319591394797[/C][C]-1.45005227890209[/C][/ROW]
[ROW][C]59[/C][C]10433[/C][C]9841.16984845244[/C][C]2.07211549502545[/C][C]590.137780993964[/C][C]0.76785759012792[/C][/ROW]
[ROW][C]60[/C][C]10073[/C][C]9924.9231069369[/C][C]2.55428630773501[/C][C]146.733500356274[/C][C]0.609236964687423[/C][/ROW]
[ROW][C]61[/C][C]10112[/C][C]10052.7997058889[/C][C]3.28499710432706[/C][C]57.1422558867383[/C][C]0.93330041507913[/C][/ROW]
[ROW][C]62[/C][C]9266[/C][C]9964.62348979044[/C][C]2.70209668546316[/C][C]-697.126316059047[/C][C]-0.67926581475193[/C][/ROW]
[ROW][C]63[/C][C]9820[/C][C]9805.68357171138[/C][C]1.51495021034942[/C][C]16.9512711711893[/C][C]-1.19658207327127[/C][/ROW]
[ROW][C]64[/C][C]10097[/C][C]9863.91284314564[/C][C]1.99306605262294[/C][C]232.16612168332[/C][C]0.418809574824304[/C][/ROW]
[ROW][C]65[/C][C]9115[/C][C]9841.34154179606[/C][C]1.76455060490202[/C][C]-725.94329780538[/C][C]-0.181296573386226[/C][/ROW]
[ROW][C]66[/C][C]10411[/C][C]9901.66119152187[/C][C]2.33417542623351[/C][C]508.388716623748[/C][C]0.432784215057325[/C][/ROW]
[ROW][C]67[/C][C]9678[/C][C]9895.0958122416[/C][C]2.24852864652447[/C][C]-216.951027647743[/C][C]-0.0659462390872501[/C][/ROW]
[ROW][C]68[/C][C]10408[/C][C]10131.518557488[/C][C]4.36911179243316[/C][C]272.659302302699[/C][C]1.73978933267392[/C][/ROW]
[ROW][C]69[/C][C]10153[/C][C]10180.004637344[/C][C]4.73063532414807[/C][C]-27.7267648139687[/C][C]0.328412380568315[/C][/ROW]
[ROW][C]70[/C][C]10368[/C][C]10200.9383803914[/C][C]4.84828292513222[/C][C]166.79586815495[/C][C]0.120757261637749[/C][/ROW]
[ROW][C]71[/C][C]10581[/C][C]10156.2675107526[/C][C]4.52786575459365[/C][C]425.545517013987[/C][C]-0.369203429549534[/C][/ROW]
[ROW][C]72[/C][C]10597[/C][C]10266.9790642662[/C][C]5.16437023326159[/C][C]328.277479977141[/C][C]0.791437348961157[/C][/ROW]
[ROW][C]73[/C][C]10680[/C][C]10388.5765997519[/C][C]5.85381681877687[/C][C]289.513630460247[/C][C]0.866899581061993[/C][/ROW]
[ROW][C]74[/C][C]9738[/C][C]10404.3992444693[/C][C]5.91598737040549[/C][C]-666.562423290676[/C][C]0.0740933883024219[/C][/ROW]
[ROW][C]75[/C][C]9556[/C][C]10104.9944128139[/C][C]3.83319949892939[/C][C]-544.009399803566[/C][C]-2.26486452572958[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147409&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147409&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 t Observed Level Slope Seasonal Stand. Residuals 1 9700 9700 0 0 0 2 9081 9420.75450143316 -4.57323719029182 -334.807899115417 -1.94834013632446 3 9084 9148.23690533508 -22.2229146322506 -61.4760003105638 -1.35940558228141 4 9743 9343.3410893296 -8.81350400055626 396.802512755963 1.35792880524648 5 8587 9095.71792616632 -19.3898286098834 -504.931356723109 -1.70068400570002 6 9731 9271.8098096163 -13.6789709574988 455.875165586204 1.44995580907109 7 9563 9434.3419938712 -10.0335857183998 125.612554401045 1.31903750930236 8 9998 9698.05321184868 -5.3287449179581 295.19507000796 2.05149393903093 9 9437 9674.89339629866 -5.61986801785221 -237.5839449585 -0.133514733832356 10 10038 9807.9599625221 -3.34218991531362 227.636519697675 1.03724816845382 11 9918 9889.1118146233 -1.93650787035048 27.4255473642788 0.6314277490997 12 9252 9667.92152658138 -5.59569782119897 -412.128213795466 -1.63791142714891 13 9737 9552.09646360713 -3.60297502605207 186.867956364579 -0.867993514739218 14 9035 9409.60408920573 -2.67806138231115 -372.145429557391 -1.07958564974153 15 9133 9311.8670562481 -4.16396481957125 -177.363252235036 -0.67266590846052 16 9487 9154.7049266868 -8.33657128828147 334.584414763756 -1.05065058009594 17 8700 9193.58255742851 -6.97670755254194 -494.30617022458 0.333375757119034 18 9627 9253.45661914782 -5.30619486369144 372.47736536272 0.487314530858606 19 8947 9171.22218329847 -6.8489039452291 -222.963887319412 -0.570816284511288 20 9283 9097.5437699252 -7.92764326966444 186.562643494913 -0.499537504676475 21 8829 9104.99880734835 -7.72006152946614 -276.254767306947 0.115256870510946 22 9947 9330.401327745 -5.08068646725834 612.71196511763 1.74690752842199 23 9628 9424.0075377992 -4.23375213024213 202.345169841292 0.739029481362515 24 9318 9518.233353789 -3.76373048259059 -201.881264385133 0.738235804272518 25 9605 9459.67914841382 -3.82810473375604 146.243003672187 -0.412983398291401 26 8640 9244.05520062057 -4.5614664474363 -600.521714378761 -1.58335108754847 27 9214 9214.62719890013 -4.81019516280528 -0.22464114649487 -0.181371770740218 28 9567 9224.516761558 -4.57400113307158 342.251417518535 0.105411069767361 29 8547 9155.49379595095 -5.80539090009781 -607.480281767522 -0.463548212929267 30 9185 8982.94359899634 -8.98969150139358 204.715084781184 -1.21612242545158 31 9470 9195.95005020216 -5.17614871686062 270.452461626172 1.64058433173774 32 9123 9183.67764068775 -5.27922954825366 -60.5613089813522 -0.0528669508714306 33 9278 9382.19726346708 -2.87328272037568 -107.559720361746 1.5236769346327 34 10170 9524.09469487191 -1.54036934419529 643.509448971725 1.08334525580578 35 9434 9459.83031998424 -1.96703685693058 -24.7907015091494 -0.469402423735074 36 9655 9554.2111387519 -1.49176664531097 99.1904466203823 0.721117644780371 37 9429 9426.44024351576 -2.04143743527976 4.65246249873495 -0.94390669372978 38 8739 9354.04484078152 -2.44741155897752 -613.887181820166 -0.52257735361842 39 9552 9400.49104181577 -2.02045921379527 150.715049174559 0.359346060548004 40 9687 9364.46944021814 -2.42468218856774 323.075912981341 -0.247865446690069 41 9019 9439.2406026585 -1.34112591070702 -421.473969794341 0.562504440206011 42 9672 9526.31204832682 -0.0428513508651429 144.268435267398 0.64814736397209 43 9206 9354.37026517756 -2.44559839392539 -145.585843110317 -1.2701001625453 44 9069 9291.78863492691 -3.18985192897205 -221.806596474209 -0.4470367361601 45 9788 9527.2691993719 -0.71589068617328 256.811673152004 1.78023707522975 46 10312 9624.42082805441 0.100170390095405 685.967142746008 0.730999398129028 47 10105 9836.12068994242 1.50193541449598 265.388717012408 1.58105311970829 48 9863 9824.44272464268 1.42873328858631 38.7747351140736 -0.0984385370787065 49 9656 9747.28648110487 1.00259473583613 -89.9922998100579 -0.585806296407066 50 9295 9801.81326763457 1.34088482098732 -507.69042163976 0.397302840410875 51 9946 9816.20255551631 1.44476309446794 129.585144443431 0.0963122419887453 52 9701 9677.00316972274 0.0714613300482087 26.270297346684 -1.0336560688549 53 9049 9569.03808422818 -1.13203119590869 -518.296349569519 -0.793453922902278 54 10190 9686.25380915568 0.255628143352628 501.834536365409 0.87166070665636 55 9706 9795.08371932902 1.49968239644785 -90.8459012856327 0.803256547155335 56 9765 9964.8495425342 3.26806929279488 -202.594791905987 1.24994318954811 57 9893 9928.3794111347 2.90356737883564 -34.728420318324 -0.295988750252327 58 9994 9736.87356064694 1.39315731484946 260.319591394797 -1.45005227890209 59 10433 9841.16984845244 2.07211549502545 590.137780993964 0.76785759012792 60 10073 9924.9231069369 2.55428630773501 146.733500356274 0.609236964687423 61 10112 10052.7997058889 3.28499710432706 57.1422558867383 0.93330041507913 62 9266 9964.62348979044 2.70209668546316 -697.126316059047 -0.67926581475193 63 9820 9805.68357171138 1.51495021034942 16.9512711711893 -1.19658207327127 64 10097 9863.91284314564 1.99306605262294 232.16612168332 0.418809574824304 65 9115 9841.34154179606 1.76455060490202 -725.94329780538 -0.181296573386226 66 10411 9901.66119152187 2.33417542623351 508.388716623748 0.432784215057325 67 9678 9895.0958122416 2.24852864652447 -216.951027647743 -0.0659462390872501 68 10408 10131.518557488 4.36911179243316 272.659302302699 1.73978933267392 69 10153 10180.004637344 4.73063532414807 -27.7267648139687 0.328412380568315 70 10368 10200.9383803914 4.84828292513222 166.79586815495 0.120757261637749 71 10581 10156.2675107526 4.52786575459365 425.545517013987 -0.369203429549534 72 10597 10266.9790642662 5.16437023326159 328.277479977141 0.791437348961157 73 10680 10388.5765997519 5.85381681877687 289.513630460247 0.866899581061993 74 9738 10404.3992444693 5.91598737040549 -666.562423290676 0.0740933883024219 75 9556 10104.9944128139 3.83319949892939 -544.009399803566 -2.26486452572958

par1 <- as.numeric(par1)nx <- length(x)x <- ts(x,frequency=par1)m <- StructTS(x,type='BSM')m$coefm$fittedm$residmylevel <- as.numeric(m$fitted[,'level'])myslope <- as.numeric(m$fitted[,'slope'])myseas <- as.numeric(m$fitted[,'sea'])myresid <- as.numeric(m$resid)myfit <- mylevel+myseasmylagmax <- nx/2bitmap(file='test2.png')op <- par(mfrow = c(2,2))acf(as.numeric(x),lag.max = mylagmax,main='Observed')acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')par(op)dev.off()bitmap(file='test3.png')op <- par(mfrow = c(2,2))spectrum(as.numeric(x),main='Observed')spectrum(mylevel,main='Level')spectrum(myseas,main='Seasonal')spectrum(myresid,main='Standardized Residals')par(op)dev.off()bitmap(file='test4.png')op <- par(mfrow = c(2,2))cpgram(as.numeric(x),main='Observed')cpgram(mylevel,main='Level')cpgram(myseas,main='Seasonal')cpgram(myresid,main='Standardized Residals')par(op)dev.off()bitmap(file='test1.png')plot(as.numeric(m$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')