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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 computationMon, 15 Dec 2014 07:37:45 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t1418629096gxovbcl3aj5p6uj.htm/, Retrieved Thu, 16 May 2024 22:36:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267949, Retrieved Thu, 16 May 2024 22:36:25 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [] [2014-12-15 07:37:45] [6baf0af87d9d8aa2cb91b54f39a0a5b0] [Current]
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Dataseries X:
26
57
37
67
43
52
52
43
84
67
49
70
52
58
68
62
43
56
56
74
65
63
58
57
63
53
57
51
64
53
29
54
58
43
51
53
54
56
61
47
39
48
50
35
30
68
49
61
67
47
56
50
43
67
62
57
41
54
45
48
61
56
41
43
53
44
66
58
46
37
51
51
56
66
37
59
42
38
66
34
53
49
55
49
59
40
58
60
63
56
54
52
34
69
32
48
67
58
57
42
64
58
66
26
61
52
51
55
50
60
56
63
61




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267949&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267949&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267949&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'Gwilym Jenkins' @ jenkins.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
12626000
25735.6661286356411.354434180083681.355169010077632.46007298738712
33736.57017072767911.306677061002121.30615495725316-0.108490706302746
46747.03040226538382.087251047372592.088285279080332.20462175847373
54346.44679970833781.896288836348961.89556474401398-0.654449039455298
65248.90805704256461.931250599413931.931442007394410.141294031042835
75250.59536380838241.917851160608041.91779507826077-0.0621590597051348
84348.93570103685861.739877018419071.73946243403476-0.925914580731533
98460.46832225663212.188203147996922.189567519456062.56648216460175
106763.31996390345412.216506680992582.216082996084760.175609866568969
114959.79930062058421.986197599829771.98545743689182-1.53060975400439
127063.68187259350632.058370626432622.058907617482680.509123215112599
135267.31352523330591.86364605166022-20.49990472455280.671674316746107
145864.60392638822521.652992844142871.65260685759295-1.02574933403156
156866.28672787278071.654154058945071.653387038834530.00729177528570265
166265.54373865189741.573461048837191.57411208718076-0.616349627815523
174359.19909479115651.337763807685381.33530345484488-2.09803227872536
185658.75259729712891.289772136492791.29036633613278-0.481794469946808
195658.43864805655041.250057208072731.25005928048971-0.43841763208565
207463.59154346512861.340430249476891.340449182515981.07584028076783
216564.55324572203311.332128633926741.33290678786896-0.105002476290013
226364.63491893855781.305933242038651.30565841266696-0.348120748100115
235863.20595177216871.250778987930581.24932070265482-0.763692451151998
245761.88543183996071.200588616362971.20078686075188-0.719656790097475
256366.0509543754981.04236422148396-11.46477738960111.03860283085511
265362.19737921514750.9007579522106560.898798972596586-1.22195676142735
275760.91986906321490.8471986577732560.846670986283341-0.570963163761228
285158.23387964400740.7715930368932880.772431692782729-0.95331412591524
296460.27237968580750.7957548816936160.794609420415750.347961496936822
305358.43348751641230.7499904586650060.749608569773877-0.731836653169256
312950.04356496491590.6026800045398130.598960465495682-2.55770556982724
325451.45543356960490.6149663572300930.6168740635796720.227576732892909
335853.63002514636920.637544517856980.6389679900750780.440149234215323
344350.78015228409650.5889613494766370.587462112438232-0.986617248636503
355151.08898993651670.5851796482099910.58458924715946-0.0793905250008691
365351.89056926057440.5880249258710570.5882335913381360.0614121522678973
375454.43285594735720.521544480755425-5.735124783395050.64335467534082
385655.11856256627790.5250067926394660.5237051750586090.0428566735211008
396157.11248160240610.5514081777751750.5523561085450320.396798434810779
404754.30900862131360.4987620992012530.497243079223575-0.924940692232013
413949.97886597979240.430983267880360.428656872516705-1.34822443308535
424849.57314579417680.4202474062567110.422646013478004-0.235494318516183
435049.8732894439710.4188122650746570.415023001557626-0.0339829942705539
443545.70141597750940.3669502434697810.366093181518197-1.30355876133866
453041.27488445276760.3151384434986770.315907411105198-1.36449690262991
466849.18891596795840.3944451832852120.3981065740475482.16683412817071
474949.2995998399410.391565818210540.389029567234916-0.0810162362337368
486152.86481169863150.4230232287417730.4246810815561630.906945662697365
496757.96084275505980.306370948407843-3.367014200515991.4920915723992
504754.72154904897820.2475300457259270.242937510508124-0.948957335998069
515655.20328151276990.2508473374635460.2538726389562560.0643446142712527
525053.76381284450880.2299051729972370.228715936031043-0.471770385127354
534350.69465360401930.1932694972529110.189512619060391-0.929815525351496
546755.54343338233960.2406318554891960.2470271881227241.32034371812927
556257.52727083096690.2571826227683840.2546736172092960.49642359098624
565757.4813646272060.2544562247206860.254469304190716-0.086551739654622
574152.8010371451010.2118973748025620.20710211311867-1.41189361001243
585453.23635534434170.213761625275760.2190996168325170.0640087790510726
594550.93911468105070.1933504107002740.188083954401862-0.720079300274649
604850.16832230183030.1856822910972160.186365530606079-0.276684065332618
616153.65860964051880.120541306796127-1.32003819437261.03613863101861
625654.41644084151480.1292581801195490.1242944045305080.173280173522118
634150.47603472927490.08169230746927120.0820239139293021-1.13028085897979
644348.30771018439340.05866164998476030.0583852581459786-0.632972568466731
655349.70637923060890.07097218200054610.06717999906094260.379987372311548
664448.07166207609650.05659634782861970.0604620477866289-0.486160132971173
676653.30610623991010.09738110061996540.09963287596607291.48076822745397
685854.70858457998020.1071342679719870.1083428381992610.374078552832977
694652.23205542349680.08859745581730860.0811885256404679-0.741705202708547
703747.85791023669420.05757740570488680.0612523827173735-1.28253954386003
715148.79214438658980.06352146479691440.06088839823045750.252137029521469
725149.45754519940950.06751798558640140.06738766139701690.173207941200017
735651.43382805904950.036435696873527-0.3945317353954430.591298356817374
746655.82002287129120.0870321416560420.08714615190504451.19570467740999
753750.28932194095690.03114031500715380.0257939765534221-1.57203496931622
765952.85578326998790.05324937586881280.05686645761125290.717187757349672
774249.71342373363310.02821397705887780.0213155778750901-0.910077623164374
783846.32047467580190.003600724922127990.00310192828591103-0.978527701120115
796652.02712239216450.04198473869320880.05023471939093511.63583486809204
803446.82585515125750.008470679691636120.00371852965986245-1.50682680110145
815348.61589879101430.01941398309412550.01792921975651070.512668268307407
824948.7343559887450.02000394831526250.02264615833364710.0285270252733644
835550.55341779514840.03046723572811390.02919549461533470.518514448500946
844950.11824818313490.02781391627578520.0257540123529296-0.134268812993428
855952.5963161568085-0.006169685463976850.07389055212486490.752540519636496
864048.8373419778451-0.0441385135644527-0.0448915901754372-1.03990606616588
875851.5188874787677-0.0205306390177035-0.02282145807705960.766981071802617
886053.9878483003314-0.001619696408363830.005134994097514640.707102756217816
896356.61051352143550.01630220913503180.01296763356948880.749746707430756
905656.44172012118310.01514053691658570.0100434176832543-0.0530790582463399
915455.73807652398070.01091719490202530.0214405477398402-0.20663017380527
925254.66369128900350.00485665855705119-0.00168940899370099-0.312510643614805
933448.6982838648811-0.0272051397139407-0.0345701932843537-1.72107926984374
946954.54501604535670.003406843999198390.01407808544891591.69465460977896
953248.0434697420868-0.0297164860918138-0.0403658145175443-1.87776277708574
964848.0183774144428-0.0296934128787125-0.02975941010883870.00133540601102277
976753.0289006904244-0.09056201128434971.008992172926261.53805344902888
985854.4684595128312-0.0768659265886588-0.07997692521402910.426603243859301
995755.1810445979972-0.070811614626391-0.07450987474498160.223089972802989
1004251.3073524232845-0.0964022928284484-0.0962457554896655-1.08354291166092
1016454.9524361114902-0.0737547908156623-0.07061186914157111.07154234818281
1025855.8057857851495-0.0685945980756427-0.07410794790114620.266394781215012
1036658.7205313690536-0.0530399853568982-0.03878143792057460.859096505813103
1042649.2520823845315-0.0997215693797229-0.115250814496808-2.71526454607975
1056152.6009185869768-0.0832694205593521-0.08538029754566820.995508793667156
1065252.3886344172594-0.0838670525890278-0.070953696072372-0.0372692065815824
1075151.9559114397965-0.085446868245366-0.096390541981646-0.100825817568478
1085552.797616503376-0.0813328834298513-0.08301554319437790.268064777449434
1095051.7323255293168-0.07081188164844260.789344393494089-0.298762659333809
1106054.148005171622-0.050858090401736-0.0511164494590110.696603402063198
1115654.6696962858484-0.0469182990521098-0.04851338416672650.162340692815089
1126357.0747696221513-0.0321076572865513-0.03171503287584920.700376013285477
1136158.1988680834661-0.0258229566414341-0.02323733875006060.331774549434894

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 26 & 26 & 0 & 0 & 0 \tabularnewline
2 & 57 & 35.666128635641 & 1.35443418008368 & 1.35516901007763 & 2.46007298738712 \tabularnewline
3 & 37 & 36.5701707276791 & 1.30667706100212 & 1.30615495725316 & -0.108490706302746 \tabularnewline
4 & 67 & 47.0304022653838 & 2.08725104737259 & 2.08828527908033 & 2.20462175847373 \tabularnewline
5 & 43 & 46.4467997083378 & 1.89628883634896 & 1.89556474401398 & -0.654449039455298 \tabularnewline
6 & 52 & 48.9080570425646 & 1.93125059941393 & 1.93144200739441 & 0.141294031042835 \tabularnewline
7 & 52 & 50.5953638083824 & 1.91785116060804 & 1.91779507826077 & -0.0621590597051348 \tabularnewline
8 & 43 & 48.9357010368586 & 1.73987701841907 & 1.73946243403476 & -0.925914580731533 \tabularnewline
9 & 84 & 60.4683222566321 & 2.18820314799692 & 2.18956751945606 & 2.56648216460175 \tabularnewline
10 & 67 & 63.3199639034541 & 2.21650668099258 & 2.21608299608476 & 0.175609866568969 \tabularnewline
11 & 49 & 59.7993006205842 & 1.98619759982977 & 1.98545743689182 & -1.53060975400439 \tabularnewline
12 & 70 & 63.6818725935063 & 2.05837062643262 & 2.05890761748268 & 0.509123215112599 \tabularnewline
13 & 52 & 67.3135252333059 & 1.86364605166022 & -20.4999047245528 & 0.671674316746107 \tabularnewline
14 & 58 & 64.6039263882252 & 1.65299284414287 & 1.65260685759295 & -1.02574933403156 \tabularnewline
15 & 68 & 66.2867278727807 & 1.65415405894507 & 1.65338703883453 & 0.00729177528570265 \tabularnewline
16 & 62 & 65.5437386518974 & 1.57346104883719 & 1.57411208718076 & -0.616349627815523 \tabularnewline
17 & 43 & 59.1990947911565 & 1.33776380768538 & 1.33530345484488 & -2.09803227872536 \tabularnewline
18 & 56 & 58.7525972971289 & 1.28977213649279 & 1.29036633613278 & -0.481794469946808 \tabularnewline
19 & 56 & 58.4386480565504 & 1.25005720807273 & 1.25005928048971 & -0.43841763208565 \tabularnewline
20 & 74 & 63.5915434651286 & 1.34043024947689 & 1.34044918251598 & 1.07584028076783 \tabularnewline
21 & 65 & 64.5532457220331 & 1.33212863392674 & 1.33290678786896 & -0.105002476290013 \tabularnewline
22 & 63 & 64.6349189385578 & 1.30593324203865 & 1.30565841266696 & -0.348120748100115 \tabularnewline
23 & 58 & 63.2059517721687 & 1.25077898793058 & 1.24932070265482 & -0.763692451151998 \tabularnewline
24 & 57 & 61.8854318399607 & 1.20058861636297 & 1.20078686075188 & -0.719656790097475 \tabularnewline
25 & 63 & 66.050954375498 & 1.04236422148396 & -11.4647773896011 & 1.03860283085511 \tabularnewline
26 & 53 & 62.1973792151475 & 0.900757952210656 & 0.898798972596586 & -1.22195676142735 \tabularnewline
27 & 57 & 60.9198690632149 & 0.847198657773256 & 0.846670986283341 & -0.570963163761228 \tabularnewline
28 & 51 & 58.2338796440074 & 0.771593036893288 & 0.772431692782729 & -0.95331412591524 \tabularnewline
29 & 64 & 60.2723796858075 & 0.795754881693616 & 0.79460942041575 & 0.347961496936822 \tabularnewline
30 & 53 & 58.4334875164123 & 0.749990458665006 & 0.749608569773877 & -0.731836653169256 \tabularnewline
31 & 29 & 50.0435649649159 & 0.602680004539813 & 0.598960465495682 & -2.55770556982724 \tabularnewline
32 & 54 & 51.4554335696049 & 0.614966357230093 & 0.616874063579672 & 0.227576732892909 \tabularnewline
33 & 58 & 53.6300251463692 & 0.63754451785698 & 0.638967990075078 & 0.440149234215323 \tabularnewline
34 & 43 & 50.7801522840965 & 0.588961349476637 & 0.587462112438232 & -0.986617248636503 \tabularnewline
35 & 51 & 51.0889899365167 & 0.585179648209991 & 0.58458924715946 & -0.0793905250008691 \tabularnewline
36 & 53 & 51.8905692605744 & 0.588024925871057 & 0.588233591338136 & 0.0614121522678973 \tabularnewline
37 & 54 & 54.4328559473572 & 0.521544480755425 & -5.73512478339505 & 0.64335467534082 \tabularnewline
38 & 56 & 55.1185625662779 & 0.525006792639466 & 0.523705175058609 & 0.0428566735211008 \tabularnewline
39 & 61 & 57.1124816024061 & 0.551408177775175 & 0.552356108545032 & 0.396798434810779 \tabularnewline
40 & 47 & 54.3090086213136 & 0.498762099201253 & 0.497243079223575 & -0.924940692232013 \tabularnewline
41 & 39 & 49.9788659797924 & 0.43098326788036 & 0.428656872516705 & -1.34822443308535 \tabularnewline
42 & 48 & 49.5731457941768 & 0.420247406256711 & 0.422646013478004 & -0.235494318516183 \tabularnewline
43 & 50 & 49.873289443971 & 0.418812265074657 & 0.415023001557626 & -0.0339829942705539 \tabularnewline
44 & 35 & 45.7014159775094 & 0.366950243469781 & 0.366093181518197 & -1.30355876133866 \tabularnewline
45 & 30 & 41.2748844527676 & 0.315138443498677 & 0.315907411105198 & -1.36449690262991 \tabularnewline
46 & 68 & 49.1889159679584 & 0.394445183285212 & 0.398106574047548 & 2.16683412817071 \tabularnewline
47 & 49 & 49.299599839941 & 0.39156581821054 & 0.389029567234916 & -0.0810162362337368 \tabularnewline
48 & 61 & 52.8648116986315 & 0.423023228741773 & 0.424681081556163 & 0.906945662697365 \tabularnewline
49 & 67 & 57.9608427550598 & 0.306370948407843 & -3.36701420051599 & 1.4920915723992 \tabularnewline
50 & 47 & 54.7215490489782 & 0.247530045725927 & 0.242937510508124 & -0.948957335998069 \tabularnewline
51 & 56 & 55.2032815127699 & 0.250847337463546 & 0.253872638956256 & 0.0643446142712527 \tabularnewline
52 & 50 & 53.7638128445088 & 0.229905172997237 & 0.228715936031043 & -0.471770385127354 \tabularnewline
53 & 43 & 50.6946536040193 & 0.193269497252911 & 0.189512619060391 & -0.929815525351496 \tabularnewline
54 & 67 & 55.5434333823396 & 0.240631855489196 & 0.247027188122724 & 1.32034371812927 \tabularnewline
55 & 62 & 57.5272708309669 & 0.257182622768384 & 0.254673617209296 & 0.49642359098624 \tabularnewline
56 & 57 & 57.481364627206 & 0.254456224720686 & 0.254469304190716 & -0.086551739654622 \tabularnewline
57 & 41 & 52.801037145101 & 0.211897374802562 & 0.20710211311867 & -1.41189361001243 \tabularnewline
58 & 54 & 53.2363553443417 & 0.21376162527576 & 0.219099616832517 & 0.0640087790510726 \tabularnewline
59 & 45 & 50.9391146810507 & 0.193350410700274 & 0.188083954401862 & -0.720079300274649 \tabularnewline
60 & 48 & 50.1683223018303 & 0.185682291097216 & 0.186365530606079 & -0.276684065332618 \tabularnewline
61 & 61 & 53.6586096405188 & 0.120541306796127 & -1.3200381943726 & 1.03613863101861 \tabularnewline
62 & 56 & 54.4164408415148 & 0.129258180119549 & 0.124294404530508 & 0.173280173522118 \tabularnewline
63 & 41 & 50.4760347292749 & 0.0816923074692712 & 0.0820239139293021 & -1.13028085897979 \tabularnewline
64 & 43 & 48.3077101843934 & 0.0586616499847603 & 0.0583852581459786 & -0.632972568466731 \tabularnewline
65 & 53 & 49.7063792306089 & 0.0709721820005461 & 0.0671799990609426 & 0.379987372311548 \tabularnewline
66 & 44 & 48.0716620760965 & 0.0565963478286197 & 0.0604620477866289 & -0.486160132971173 \tabularnewline
67 & 66 & 53.3061062399101 & 0.0973811006199654 & 0.0996328759660729 & 1.48076822745397 \tabularnewline
68 & 58 & 54.7085845799802 & 0.107134267971987 & 0.108342838199261 & 0.374078552832977 \tabularnewline
69 & 46 & 52.2320554234968 & 0.0885974558173086 & 0.0811885256404679 & -0.741705202708547 \tabularnewline
70 & 37 & 47.8579102366942 & 0.0575774057048868 & 0.0612523827173735 & -1.28253954386003 \tabularnewline
71 & 51 & 48.7921443865898 & 0.0635214647969144 & 0.0608883982304575 & 0.252137029521469 \tabularnewline
72 & 51 & 49.4575451994095 & 0.0675179855864014 & 0.0673876613970169 & 0.173207941200017 \tabularnewline
73 & 56 & 51.4338280590495 & 0.036435696873527 & -0.394531735395443 & 0.591298356817374 \tabularnewline
74 & 66 & 55.8200228712912 & 0.087032141656042 & 0.0871461519050445 & 1.19570467740999 \tabularnewline
75 & 37 & 50.2893219409569 & 0.0311403150071538 & 0.0257939765534221 & -1.57203496931622 \tabularnewline
76 & 59 & 52.8557832699879 & 0.0532493758688128 & 0.0568664576112529 & 0.717187757349672 \tabularnewline
77 & 42 & 49.7134237336331 & 0.0282139770588778 & 0.0213155778750901 & -0.910077623164374 \tabularnewline
78 & 38 & 46.3204746758019 & 0.00360072492212799 & 0.00310192828591103 & -0.978527701120115 \tabularnewline
79 & 66 & 52.0271223921645 & 0.0419847386932088 & 0.0502347193909351 & 1.63583486809204 \tabularnewline
80 & 34 & 46.8258551512575 & 0.00847067969163612 & 0.00371852965986245 & -1.50682680110145 \tabularnewline
81 & 53 & 48.6158987910143 & 0.0194139830941255 & 0.0179292197565107 & 0.512668268307407 \tabularnewline
82 & 49 & 48.734355988745 & 0.0200039483152625 & 0.0226461583336471 & 0.0285270252733644 \tabularnewline
83 & 55 & 50.5534177951484 & 0.0304672357281139 & 0.0291954946153347 & 0.518514448500946 \tabularnewline
84 & 49 & 50.1182481831349 & 0.0278139162757852 & 0.0257540123529296 & -0.134268812993428 \tabularnewline
85 & 59 & 52.5963161568085 & -0.00616968546397685 & 0.0738905521248649 & 0.752540519636496 \tabularnewline
86 & 40 & 48.8373419778451 & -0.0441385135644527 & -0.0448915901754372 & -1.03990606616588 \tabularnewline
87 & 58 & 51.5188874787677 & -0.0205306390177035 & -0.0228214580770596 & 0.766981071802617 \tabularnewline
88 & 60 & 53.9878483003314 & -0.00161969640836383 & 0.00513499409751464 & 0.707102756217816 \tabularnewline
89 & 63 & 56.6105135214355 & 0.0163022091350318 & 0.0129676335694888 & 0.749746707430756 \tabularnewline
90 & 56 & 56.4417201211831 & 0.0151405369165857 & 0.0100434176832543 & -0.0530790582463399 \tabularnewline
91 & 54 & 55.7380765239807 & 0.0109171949020253 & 0.0214405477398402 & -0.20663017380527 \tabularnewline
92 & 52 & 54.6636912890035 & 0.00485665855705119 & -0.00168940899370099 & -0.312510643614805 \tabularnewline
93 & 34 & 48.6982838648811 & -0.0272051397139407 & -0.0345701932843537 & -1.72107926984374 \tabularnewline
94 & 69 & 54.5450160453567 & 0.00340684399919839 & 0.0140780854489159 & 1.69465460977896 \tabularnewline
95 & 32 & 48.0434697420868 & -0.0297164860918138 & -0.0403658145175443 & -1.87776277708574 \tabularnewline
96 & 48 & 48.0183774144428 & -0.0296934128787125 & -0.0297594101088387 & 0.00133540601102277 \tabularnewline
97 & 67 & 53.0289006904244 & -0.0905620112843497 & 1.00899217292626 & 1.53805344902888 \tabularnewline
98 & 58 & 54.4684595128312 & -0.0768659265886588 & -0.0799769252140291 & 0.426603243859301 \tabularnewline
99 & 57 & 55.1810445979972 & -0.070811614626391 & -0.0745098747449816 & 0.223089972802989 \tabularnewline
100 & 42 & 51.3073524232845 & -0.0964022928284484 & -0.0962457554896655 & -1.08354291166092 \tabularnewline
101 & 64 & 54.9524361114902 & -0.0737547908156623 & -0.0706118691415711 & 1.07154234818281 \tabularnewline
102 & 58 & 55.8057857851495 & -0.0685945980756427 & -0.0741079479011462 & 0.266394781215012 \tabularnewline
103 & 66 & 58.7205313690536 & -0.0530399853568982 & -0.0387814379205746 & 0.859096505813103 \tabularnewline
104 & 26 & 49.2520823845315 & -0.0997215693797229 & -0.115250814496808 & -2.71526454607975 \tabularnewline
105 & 61 & 52.6009185869768 & -0.0832694205593521 & -0.0853802975456682 & 0.995508793667156 \tabularnewline
106 & 52 & 52.3886344172594 & -0.0838670525890278 & -0.070953696072372 & -0.0372692065815824 \tabularnewline
107 & 51 & 51.9559114397965 & -0.085446868245366 & -0.096390541981646 & -0.100825817568478 \tabularnewline
108 & 55 & 52.797616503376 & -0.0813328834298513 & -0.0830155431943779 & 0.268064777449434 \tabularnewline
109 & 50 & 51.7323255293168 & -0.0708118816484426 & 0.789344393494089 & -0.298762659333809 \tabularnewline
110 & 60 & 54.148005171622 & -0.050858090401736 & -0.051116449459011 & 0.696603402063198 \tabularnewline
111 & 56 & 54.6696962858484 & -0.0469182990521098 & -0.0485133841667265 & 0.162340692815089 \tabularnewline
112 & 63 & 57.0747696221513 & -0.0321076572865513 & -0.0317150328758492 & 0.700376013285477 \tabularnewline
113 & 61 & 58.1988680834661 & -0.0258229566414341 & -0.0232373387500606 & 0.331774549434894 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267949&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]26[/C][C]26[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]57[/C][C]35.666128635641[/C][C]1.35443418008368[/C][C]1.35516901007763[/C][C]2.46007298738712[/C][/ROW]
[ROW][C]3[/C][C]37[/C][C]36.5701707276791[/C][C]1.30667706100212[/C][C]1.30615495725316[/C][C]-0.108490706302746[/C][/ROW]
[ROW][C]4[/C][C]67[/C][C]47.0304022653838[/C][C]2.08725104737259[/C][C]2.08828527908033[/C][C]2.20462175847373[/C][/ROW]
[ROW][C]5[/C][C]43[/C][C]46.4467997083378[/C][C]1.89628883634896[/C][C]1.89556474401398[/C][C]-0.654449039455298[/C][/ROW]
[ROW][C]6[/C][C]52[/C][C]48.9080570425646[/C][C]1.93125059941393[/C][C]1.93144200739441[/C][C]0.141294031042835[/C][/ROW]
[ROW][C]7[/C][C]52[/C][C]50.5953638083824[/C][C]1.91785116060804[/C][C]1.91779507826077[/C][C]-0.0621590597051348[/C][/ROW]
[ROW][C]8[/C][C]43[/C][C]48.9357010368586[/C][C]1.73987701841907[/C][C]1.73946243403476[/C][C]-0.925914580731533[/C][/ROW]
[ROW][C]9[/C][C]84[/C][C]60.4683222566321[/C][C]2.18820314799692[/C][C]2.18956751945606[/C][C]2.56648216460175[/C][/ROW]
[ROW][C]10[/C][C]67[/C][C]63.3199639034541[/C][C]2.21650668099258[/C][C]2.21608299608476[/C][C]0.175609866568969[/C][/ROW]
[ROW][C]11[/C][C]49[/C][C]59.7993006205842[/C][C]1.98619759982977[/C][C]1.98545743689182[/C][C]-1.53060975400439[/C][/ROW]
[ROW][C]12[/C][C]70[/C][C]63.6818725935063[/C][C]2.05837062643262[/C][C]2.05890761748268[/C][C]0.509123215112599[/C][/ROW]
[ROW][C]13[/C][C]52[/C][C]67.3135252333059[/C][C]1.86364605166022[/C][C]-20.4999047245528[/C][C]0.671674316746107[/C][/ROW]
[ROW][C]14[/C][C]58[/C][C]64.6039263882252[/C][C]1.65299284414287[/C][C]1.65260685759295[/C][C]-1.02574933403156[/C][/ROW]
[ROW][C]15[/C][C]68[/C][C]66.2867278727807[/C][C]1.65415405894507[/C][C]1.65338703883453[/C][C]0.00729177528570265[/C][/ROW]
[ROW][C]16[/C][C]62[/C][C]65.5437386518974[/C][C]1.57346104883719[/C][C]1.57411208718076[/C][C]-0.616349627815523[/C][/ROW]
[ROW][C]17[/C][C]43[/C][C]59.1990947911565[/C][C]1.33776380768538[/C][C]1.33530345484488[/C][C]-2.09803227872536[/C][/ROW]
[ROW][C]18[/C][C]56[/C][C]58.7525972971289[/C][C]1.28977213649279[/C][C]1.29036633613278[/C][C]-0.481794469946808[/C][/ROW]
[ROW][C]19[/C][C]56[/C][C]58.4386480565504[/C][C]1.25005720807273[/C][C]1.25005928048971[/C][C]-0.43841763208565[/C][/ROW]
[ROW][C]20[/C][C]74[/C][C]63.5915434651286[/C][C]1.34043024947689[/C][C]1.34044918251598[/C][C]1.07584028076783[/C][/ROW]
[ROW][C]21[/C][C]65[/C][C]64.5532457220331[/C][C]1.33212863392674[/C][C]1.33290678786896[/C][C]-0.105002476290013[/C][/ROW]
[ROW][C]22[/C][C]63[/C][C]64.6349189385578[/C][C]1.30593324203865[/C][C]1.30565841266696[/C][C]-0.348120748100115[/C][/ROW]
[ROW][C]23[/C][C]58[/C][C]63.2059517721687[/C][C]1.25077898793058[/C][C]1.24932070265482[/C][C]-0.763692451151998[/C][/ROW]
[ROW][C]24[/C][C]57[/C][C]61.8854318399607[/C][C]1.20058861636297[/C][C]1.20078686075188[/C][C]-0.719656790097475[/C][/ROW]
[ROW][C]25[/C][C]63[/C][C]66.050954375498[/C][C]1.04236422148396[/C][C]-11.4647773896011[/C][C]1.03860283085511[/C][/ROW]
[ROW][C]26[/C][C]53[/C][C]62.1973792151475[/C][C]0.900757952210656[/C][C]0.898798972596586[/C][C]-1.22195676142735[/C][/ROW]
[ROW][C]27[/C][C]57[/C][C]60.9198690632149[/C][C]0.847198657773256[/C][C]0.846670986283341[/C][C]-0.570963163761228[/C][/ROW]
[ROW][C]28[/C][C]51[/C][C]58.2338796440074[/C][C]0.771593036893288[/C][C]0.772431692782729[/C][C]-0.95331412591524[/C][/ROW]
[ROW][C]29[/C][C]64[/C][C]60.2723796858075[/C][C]0.795754881693616[/C][C]0.79460942041575[/C][C]0.347961496936822[/C][/ROW]
[ROW][C]30[/C][C]53[/C][C]58.4334875164123[/C][C]0.749990458665006[/C][C]0.749608569773877[/C][C]-0.731836653169256[/C][/ROW]
[ROW][C]31[/C][C]29[/C][C]50.0435649649159[/C][C]0.602680004539813[/C][C]0.598960465495682[/C][C]-2.55770556982724[/C][/ROW]
[ROW][C]32[/C][C]54[/C][C]51.4554335696049[/C][C]0.614966357230093[/C][C]0.616874063579672[/C][C]0.227576732892909[/C][/ROW]
[ROW][C]33[/C][C]58[/C][C]53.6300251463692[/C][C]0.63754451785698[/C][C]0.638967990075078[/C][C]0.440149234215323[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]50.7801522840965[/C][C]0.588961349476637[/C][C]0.587462112438232[/C][C]-0.986617248636503[/C][/ROW]
[ROW][C]35[/C][C]51[/C][C]51.0889899365167[/C][C]0.585179648209991[/C][C]0.58458924715946[/C][C]-0.0793905250008691[/C][/ROW]
[ROW][C]36[/C][C]53[/C][C]51.8905692605744[/C][C]0.588024925871057[/C][C]0.588233591338136[/C][C]0.0614121522678973[/C][/ROW]
[ROW][C]37[/C][C]54[/C][C]54.4328559473572[/C][C]0.521544480755425[/C][C]-5.73512478339505[/C][C]0.64335467534082[/C][/ROW]
[ROW][C]38[/C][C]56[/C][C]55.1185625662779[/C][C]0.525006792639466[/C][C]0.523705175058609[/C][C]0.0428566735211008[/C][/ROW]
[ROW][C]39[/C][C]61[/C][C]57.1124816024061[/C][C]0.551408177775175[/C][C]0.552356108545032[/C][C]0.396798434810779[/C][/ROW]
[ROW][C]40[/C][C]47[/C][C]54.3090086213136[/C][C]0.498762099201253[/C][C]0.497243079223575[/C][C]-0.924940692232013[/C][/ROW]
[ROW][C]41[/C][C]39[/C][C]49.9788659797924[/C][C]0.43098326788036[/C][C]0.428656872516705[/C][C]-1.34822443308535[/C][/ROW]
[ROW][C]42[/C][C]48[/C][C]49.5731457941768[/C][C]0.420247406256711[/C][C]0.422646013478004[/C][C]-0.235494318516183[/C][/ROW]
[ROW][C]43[/C][C]50[/C][C]49.873289443971[/C][C]0.418812265074657[/C][C]0.415023001557626[/C][C]-0.0339829942705539[/C][/ROW]
[ROW][C]44[/C][C]35[/C][C]45.7014159775094[/C][C]0.366950243469781[/C][C]0.366093181518197[/C][C]-1.30355876133866[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]41.2748844527676[/C][C]0.315138443498677[/C][C]0.315907411105198[/C][C]-1.36449690262991[/C][/ROW]
[ROW][C]46[/C][C]68[/C][C]49.1889159679584[/C][C]0.394445183285212[/C][C]0.398106574047548[/C][C]2.16683412817071[/C][/ROW]
[ROW][C]47[/C][C]49[/C][C]49.299599839941[/C][C]0.39156581821054[/C][C]0.389029567234916[/C][C]-0.0810162362337368[/C][/ROW]
[ROW][C]48[/C][C]61[/C][C]52.8648116986315[/C][C]0.423023228741773[/C][C]0.424681081556163[/C][C]0.906945662697365[/C][/ROW]
[ROW][C]49[/C][C]67[/C][C]57.9608427550598[/C][C]0.306370948407843[/C][C]-3.36701420051599[/C][C]1.4920915723992[/C][/ROW]
[ROW][C]50[/C][C]47[/C][C]54.7215490489782[/C][C]0.247530045725927[/C][C]0.242937510508124[/C][C]-0.948957335998069[/C][/ROW]
[ROW][C]51[/C][C]56[/C][C]55.2032815127699[/C][C]0.250847337463546[/C][C]0.253872638956256[/C][C]0.0643446142712527[/C][/ROW]
[ROW][C]52[/C][C]50[/C][C]53.7638128445088[/C][C]0.229905172997237[/C][C]0.228715936031043[/C][C]-0.471770385127354[/C][/ROW]
[ROW][C]53[/C][C]43[/C][C]50.6946536040193[/C][C]0.193269497252911[/C][C]0.189512619060391[/C][C]-0.929815525351496[/C][/ROW]
[ROW][C]54[/C][C]67[/C][C]55.5434333823396[/C][C]0.240631855489196[/C][C]0.247027188122724[/C][C]1.32034371812927[/C][/ROW]
[ROW][C]55[/C][C]62[/C][C]57.5272708309669[/C][C]0.257182622768384[/C][C]0.254673617209296[/C][C]0.49642359098624[/C][/ROW]
[ROW][C]56[/C][C]57[/C][C]57.481364627206[/C][C]0.254456224720686[/C][C]0.254469304190716[/C][C]-0.086551739654622[/C][/ROW]
[ROW][C]57[/C][C]41[/C][C]52.801037145101[/C][C]0.211897374802562[/C][C]0.20710211311867[/C][C]-1.41189361001243[/C][/ROW]
[ROW][C]58[/C][C]54[/C][C]53.2363553443417[/C][C]0.21376162527576[/C][C]0.219099616832517[/C][C]0.0640087790510726[/C][/ROW]
[ROW][C]59[/C][C]45[/C][C]50.9391146810507[/C][C]0.193350410700274[/C][C]0.188083954401862[/C][C]-0.720079300274649[/C][/ROW]
[ROW][C]60[/C][C]48[/C][C]50.1683223018303[/C][C]0.185682291097216[/C][C]0.186365530606079[/C][C]-0.276684065332618[/C][/ROW]
[ROW][C]61[/C][C]61[/C][C]53.6586096405188[/C][C]0.120541306796127[/C][C]-1.3200381943726[/C][C]1.03613863101861[/C][/ROW]
[ROW][C]62[/C][C]56[/C][C]54.4164408415148[/C][C]0.129258180119549[/C][C]0.124294404530508[/C][C]0.173280173522118[/C][/ROW]
[ROW][C]63[/C][C]41[/C][C]50.4760347292749[/C][C]0.0816923074692712[/C][C]0.0820239139293021[/C][C]-1.13028085897979[/C][/ROW]
[ROW][C]64[/C][C]43[/C][C]48.3077101843934[/C][C]0.0586616499847603[/C][C]0.0583852581459786[/C][C]-0.632972568466731[/C][/ROW]
[ROW][C]65[/C][C]53[/C][C]49.7063792306089[/C][C]0.0709721820005461[/C][C]0.0671799990609426[/C][C]0.379987372311548[/C][/ROW]
[ROW][C]66[/C][C]44[/C][C]48.0716620760965[/C][C]0.0565963478286197[/C][C]0.0604620477866289[/C][C]-0.486160132971173[/C][/ROW]
[ROW][C]67[/C][C]66[/C][C]53.3061062399101[/C][C]0.0973811006199654[/C][C]0.0996328759660729[/C][C]1.48076822745397[/C][/ROW]
[ROW][C]68[/C][C]58[/C][C]54.7085845799802[/C][C]0.107134267971987[/C][C]0.108342838199261[/C][C]0.374078552832977[/C][/ROW]
[ROW][C]69[/C][C]46[/C][C]52.2320554234968[/C][C]0.0885974558173086[/C][C]0.0811885256404679[/C][C]-0.741705202708547[/C][/ROW]
[ROW][C]70[/C][C]37[/C][C]47.8579102366942[/C][C]0.0575774057048868[/C][C]0.0612523827173735[/C][C]-1.28253954386003[/C][/ROW]
[ROW][C]71[/C][C]51[/C][C]48.7921443865898[/C][C]0.0635214647969144[/C][C]0.0608883982304575[/C][C]0.252137029521469[/C][/ROW]
[ROW][C]72[/C][C]51[/C][C]49.4575451994095[/C][C]0.0675179855864014[/C][C]0.0673876613970169[/C][C]0.173207941200017[/C][/ROW]
[ROW][C]73[/C][C]56[/C][C]51.4338280590495[/C][C]0.036435696873527[/C][C]-0.394531735395443[/C][C]0.591298356817374[/C][/ROW]
[ROW][C]74[/C][C]66[/C][C]55.8200228712912[/C][C]0.087032141656042[/C][C]0.0871461519050445[/C][C]1.19570467740999[/C][/ROW]
[ROW][C]75[/C][C]37[/C][C]50.2893219409569[/C][C]0.0311403150071538[/C][C]0.0257939765534221[/C][C]-1.57203496931622[/C][/ROW]
[ROW][C]76[/C][C]59[/C][C]52.8557832699879[/C][C]0.0532493758688128[/C][C]0.0568664576112529[/C][C]0.717187757349672[/C][/ROW]
[ROW][C]77[/C][C]42[/C][C]49.7134237336331[/C][C]0.0282139770588778[/C][C]0.0213155778750901[/C][C]-0.910077623164374[/C][/ROW]
[ROW][C]78[/C][C]38[/C][C]46.3204746758019[/C][C]0.00360072492212799[/C][C]0.00310192828591103[/C][C]-0.978527701120115[/C][/ROW]
[ROW][C]79[/C][C]66[/C][C]52.0271223921645[/C][C]0.0419847386932088[/C][C]0.0502347193909351[/C][C]1.63583486809204[/C][/ROW]
[ROW][C]80[/C][C]34[/C][C]46.8258551512575[/C][C]0.00847067969163612[/C][C]0.00371852965986245[/C][C]-1.50682680110145[/C][/ROW]
[ROW][C]81[/C][C]53[/C][C]48.6158987910143[/C][C]0.0194139830941255[/C][C]0.0179292197565107[/C][C]0.512668268307407[/C][/ROW]
[ROW][C]82[/C][C]49[/C][C]48.734355988745[/C][C]0.0200039483152625[/C][C]0.0226461583336471[/C][C]0.0285270252733644[/C][/ROW]
[ROW][C]83[/C][C]55[/C][C]50.5534177951484[/C][C]0.0304672357281139[/C][C]0.0291954946153347[/C][C]0.518514448500946[/C][/ROW]
[ROW][C]84[/C][C]49[/C][C]50.1182481831349[/C][C]0.0278139162757852[/C][C]0.0257540123529296[/C][C]-0.134268812993428[/C][/ROW]
[ROW][C]85[/C][C]59[/C][C]52.5963161568085[/C][C]-0.00616968546397685[/C][C]0.0738905521248649[/C][C]0.752540519636496[/C][/ROW]
[ROW][C]86[/C][C]40[/C][C]48.8373419778451[/C][C]-0.0441385135644527[/C][C]-0.0448915901754372[/C][C]-1.03990606616588[/C][/ROW]
[ROW][C]87[/C][C]58[/C][C]51.5188874787677[/C][C]-0.0205306390177035[/C][C]-0.0228214580770596[/C][C]0.766981071802617[/C][/ROW]
[ROW][C]88[/C][C]60[/C][C]53.9878483003314[/C][C]-0.00161969640836383[/C][C]0.00513499409751464[/C][C]0.707102756217816[/C][/ROW]
[ROW][C]89[/C][C]63[/C][C]56.6105135214355[/C][C]0.0163022091350318[/C][C]0.0129676335694888[/C][C]0.749746707430756[/C][/ROW]
[ROW][C]90[/C][C]56[/C][C]56.4417201211831[/C][C]0.0151405369165857[/C][C]0.0100434176832543[/C][C]-0.0530790582463399[/C][/ROW]
[ROW][C]91[/C][C]54[/C][C]55.7380765239807[/C][C]0.0109171949020253[/C][C]0.0214405477398402[/C][C]-0.20663017380527[/C][/ROW]
[ROW][C]92[/C][C]52[/C][C]54.6636912890035[/C][C]0.00485665855705119[/C][C]-0.00168940899370099[/C][C]-0.312510643614805[/C][/ROW]
[ROW][C]93[/C][C]34[/C][C]48.6982838648811[/C][C]-0.0272051397139407[/C][C]-0.0345701932843537[/C][C]-1.72107926984374[/C][/ROW]
[ROW][C]94[/C][C]69[/C][C]54.5450160453567[/C][C]0.00340684399919839[/C][C]0.0140780854489159[/C][C]1.69465460977896[/C][/ROW]
[ROW][C]95[/C][C]32[/C][C]48.0434697420868[/C][C]-0.0297164860918138[/C][C]-0.0403658145175443[/C][C]-1.87776277708574[/C][/ROW]
[ROW][C]96[/C][C]48[/C][C]48.0183774144428[/C][C]-0.0296934128787125[/C][C]-0.0297594101088387[/C][C]0.00133540601102277[/C][/ROW]
[ROW][C]97[/C][C]67[/C][C]53.0289006904244[/C][C]-0.0905620112843497[/C][C]1.00899217292626[/C][C]1.53805344902888[/C][/ROW]
[ROW][C]98[/C][C]58[/C][C]54.4684595128312[/C][C]-0.0768659265886588[/C][C]-0.0799769252140291[/C][C]0.426603243859301[/C][/ROW]
[ROW][C]99[/C][C]57[/C][C]55.1810445979972[/C][C]-0.070811614626391[/C][C]-0.0745098747449816[/C][C]0.223089972802989[/C][/ROW]
[ROW][C]100[/C][C]42[/C][C]51.3073524232845[/C][C]-0.0964022928284484[/C][C]-0.0962457554896655[/C][C]-1.08354291166092[/C][/ROW]
[ROW][C]101[/C][C]64[/C][C]54.9524361114902[/C][C]-0.0737547908156623[/C][C]-0.0706118691415711[/C][C]1.07154234818281[/C][/ROW]
[ROW][C]102[/C][C]58[/C][C]55.8057857851495[/C][C]-0.0685945980756427[/C][C]-0.0741079479011462[/C][C]0.266394781215012[/C][/ROW]
[ROW][C]103[/C][C]66[/C][C]58.7205313690536[/C][C]-0.0530399853568982[/C][C]-0.0387814379205746[/C][C]0.859096505813103[/C][/ROW]
[ROW][C]104[/C][C]26[/C][C]49.2520823845315[/C][C]-0.0997215693797229[/C][C]-0.115250814496808[/C][C]-2.71526454607975[/C][/ROW]
[ROW][C]105[/C][C]61[/C][C]52.6009185869768[/C][C]-0.0832694205593521[/C][C]-0.0853802975456682[/C][C]0.995508793667156[/C][/ROW]
[ROW][C]106[/C][C]52[/C][C]52.3886344172594[/C][C]-0.0838670525890278[/C][C]-0.070953696072372[/C][C]-0.0372692065815824[/C][/ROW]
[ROW][C]107[/C][C]51[/C][C]51.9559114397965[/C][C]-0.085446868245366[/C][C]-0.096390541981646[/C][C]-0.100825817568478[/C][/ROW]
[ROW][C]108[/C][C]55[/C][C]52.797616503376[/C][C]-0.0813328834298513[/C][C]-0.0830155431943779[/C][C]0.268064777449434[/C][/ROW]
[ROW][C]109[/C][C]50[/C][C]51.7323255293168[/C][C]-0.0708118816484426[/C][C]0.789344393494089[/C][C]-0.298762659333809[/C][/ROW]
[ROW][C]110[/C][C]60[/C][C]54.148005171622[/C][C]-0.050858090401736[/C][C]-0.051116449459011[/C][C]0.696603402063198[/C][/ROW]
[ROW][C]111[/C][C]56[/C][C]54.6696962858484[/C][C]-0.0469182990521098[/C][C]-0.0485133841667265[/C][C]0.162340692815089[/C][/ROW]
[ROW][C]112[/C][C]63[/C][C]57.0747696221513[/C][C]-0.0321076572865513[/C][C]-0.0317150328758492[/C][C]0.700376013285477[/C][/ROW]
[ROW][C]113[/C][C]61[/C][C]58.1988680834661[/C][C]-0.0258229566414341[/C][C]-0.0232373387500606[/C][C]0.331774549434894[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267949&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267949&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
12626000
25735.6661286356411.354434180083681.355169010077632.46007298738712
33736.57017072767911.306677061002121.30615495725316-0.108490706302746
46747.03040226538382.087251047372592.088285279080332.20462175847373
54346.44679970833781.896288836348961.89556474401398-0.654449039455298
65248.90805704256461.931250599413931.931442007394410.141294031042835
75250.59536380838241.917851160608041.91779507826077-0.0621590597051348
84348.93570103685861.739877018419071.73946243403476-0.925914580731533
98460.46832225663212.188203147996922.189567519456062.56648216460175
106763.31996390345412.216506680992582.216082996084760.175609866568969
114959.79930062058421.986197599829771.98545743689182-1.53060975400439
127063.68187259350632.058370626432622.058907617482680.509123215112599
135267.31352523330591.86364605166022-20.49990472455280.671674316746107
145864.60392638822521.652992844142871.65260685759295-1.02574933403156
156866.28672787278071.654154058945071.653387038834530.00729177528570265
166265.54373865189741.573461048837191.57411208718076-0.616349627815523
174359.19909479115651.337763807685381.33530345484488-2.09803227872536
185658.75259729712891.289772136492791.29036633613278-0.481794469946808
195658.43864805655041.250057208072731.25005928048971-0.43841763208565
207463.59154346512861.340430249476891.340449182515981.07584028076783
216564.55324572203311.332128633926741.33290678786896-0.105002476290013
226364.63491893855781.305933242038651.30565841266696-0.348120748100115
235863.20595177216871.250778987930581.24932070265482-0.763692451151998
245761.88543183996071.200588616362971.20078686075188-0.719656790097475
256366.0509543754981.04236422148396-11.46477738960111.03860283085511
265362.19737921514750.9007579522106560.898798972596586-1.22195676142735
275760.91986906321490.8471986577732560.846670986283341-0.570963163761228
285158.23387964400740.7715930368932880.772431692782729-0.95331412591524
296460.27237968580750.7957548816936160.794609420415750.347961496936822
305358.43348751641230.7499904586650060.749608569773877-0.731836653169256
312950.04356496491590.6026800045398130.598960465495682-2.55770556982724
325451.45543356960490.6149663572300930.6168740635796720.227576732892909
335853.63002514636920.637544517856980.6389679900750780.440149234215323
344350.78015228409650.5889613494766370.587462112438232-0.986617248636503
355151.08898993651670.5851796482099910.58458924715946-0.0793905250008691
365351.89056926057440.5880249258710570.5882335913381360.0614121522678973
375454.43285594735720.521544480755425-5.735124783395050.64335467534082
385655.11856256627790.5250067926394660.5237051750586090.0428566735211008
396157.11248160240610.5514081777751750.5523561085450320.396798434810779
404754.30900862131360.4987620992012530.497243079223575-0.924940692232013
413949.97886597979240.430983267880360.428656872516705-1.34822443308535
424849.57314579417680.4202474062567110.422646013478004-0.235494318516183
435049.8732894439710.4188122650746570.415023001557626-0.0339829942705539
443545.70141597750940.3669502434697810.366093181518197-1.30355876133866
453041.27488445276760.3151384434986770.315907411105198-1.36449690262991
466849.18891596795840.3944451832852120.3981065740475482.16683412817071
474949.2995998399410.391565818210540.389029567234916-0.0810162362337368
486152.86481169863150.4230232287417730.4246810815561630.906945662697365
496757.96084275505980.306370948407843-3.367014200515991.4920915723992
504754.72154904897820.2475300457259270.242937510508124-0.948957335998069
515655.20328151276990.2508473374635460.2538726389562560.0643446142712527
525053.76381284450880.2299051729972370.228715936031043-0.471770385127354
534350.69465360401930.1932694972529110.189512619060391-0.929815525351496
546755.54343338233960.2406318554891960.2470271881227241.32034371812927
556257.52727083096690.2571826227683840.2546736172092960.49642359098624
565757.4813646272060.2544562247206860.254469304190716-0.086551739654622
574152.8010371451010.2118973748025620.20710211311867-1.41189361001243
585453.23635534434170.213761625275760.2190996168325170.0640087790510726
594550.93911468105070.1933504107002740.188083954401862-0.720079300274649
604850.16832230183030.1856822910972160.186365530606079-0.276684065332618
616153.65860964051880.120541306796127-1.32003819437261.03613863101861
625654.41644084151480.1292581801195490.1242944045305080.173280173522118
634150.47603472927490.08169230746927120.0820239139293021-1.13028085897979
644348.30771018439340.05866164998476030.0583852581459786-0.632972568466731
655349.70637923060890.07097218200054610.06717999906094260.379987372311548
664448.07166207609650.05659634782861970.0604620477866289-0.486160132971173
676653.30610623991010.09738110061996540.09963287596607291.48076822745397
685854.70858457998020.1071342679719870.1083428381992610.374078552832977
694652.23205542349680.08859745581730860.0811885256404679-0.741705202708547
703747.85791023669420.05757740570488680.0612523827173735-1.28253954386003
715148.79214438658980.06352146479691440.06088839823045750.252137029521469
725149.45754519940950.06751798558640140.06738766139701690.173207941200017
735651.43382805904950.036435696873527-0.3945317353954430.591298356817374
746655.82002287129120.0870321416560420.08714615190504451.19570467740999
753750.28932194095690.03114031500715380.0257939765534221-1.57203496931622
765952.85578326998790.05324937586881280.05686645761125290.717187757349672
774249.71342373363310.02821397705887780.0213155778750901-0.910077623164374
783846.32047467580190.003600724922127990.00310192828591103-0.978527701120115
796652.02712239216450.04198473869320880.05023471939093511.63583486809204
803446.82585515125750.008470679691636120.00371852965986245-1.50682680110145
815348.61589879101430.01941398309412550.01792921975651070.512668268307407
824948.7343559887450.02000394831526250.02264615833364710.0285270252733644
835550.55341779514840.03046723572811390.02919549461533470.518514448500946
844950.11824818313490.02781391627578520.0257540123529296-0.134268812993428
855952.5963161568085-0.006169685463976850.07389055212486490.752540519636496
864048.8373419778451-0.0441385135644527-0.0448915901754372-1.03990606616588
875851.5188874787677-0.0205306390177035-0.02282145807705960.766981071802617
886053.9878483003314-0.001619696408363830.005134994097514640.707102756217816
896356.61051352143550.01630220913503180.01296763356948880.749746707430756
905656.44172012118310.01514053691658570.0100434176832543-0.0530790582463399
915455.73807652398070.01091719490202530.0214405477398402-0.20663017380527
925254.66369128900350.00485665855705119-0.00168940899370099-0.312510643614805
933448.6982838648811-0.0272051397139407-0.0345701932843537-1.72107926984374
946954.54501604535670.003406843999198390.01407808544891591.69465460977896
953248.0434697420868-0.0297164860918138-0.0403658145175443-1.87776277708574
964848.0183774144428-0.0296934128787125-0.02975941010883870.00133540601102277
976753.0289006904244-0.09056201128434971.008992172926261.53805344902888
985854.4684595128312-0.0768659265886588-0.07997692521402910.426603243859301
995755.1810445979972-0.070811614626391-0.07450987474498160.223089972802989
1004251.3073524232845-0.0964022928284484-0.0962457554896655-1.08354291166092
1016454.9524361114902-0.0737547908156623-0.07061186914157111.07154234818281
1025855.8057857851495-0.0685945980756427-0.07410794790114620.266394781215012
1036658.7205313690536-0.0530399853568982-0.03878143792057460.859096505813103
1042649.2520823845315-0.0997215693797229-0.115250814496808-2.71526454607975
1056152.6009185869768-0.0832694205593521-0.08538029754566820.995508793667156
1065252.3886344172594-0.0838670525890278-0.070953696072372-0.0372692065815824
1075151.9559114397965-0.085446868245366-0.096390541981646-0.100825817568478
1085552.797616503376-0.0813328834298513-0.08301554319437790.268064777449434
1095051.7323255293168-0.07081188164844260.789344393494089-0.298762659333809
1106054.148005171622-0.050858090401736-0.0511164494590110.696603402063198
1115654.6696962858484-0.0469182990521098-0.04851338416672650.162340692815089
1126357.0747696221513-0.0321076572865513-0.03171503287584920.700376013285477
1136158.1988680834661-0.0258229566414341-0.02323733875006060.331774549434894



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')