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Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationSat, 17 Dec 2011 12:32:38 -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/17/t1324143301d1o8a5495rmu0v2.htm/, Retrieved Thu, 25 Apr 2024 02:18:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156515, Retrieved Thu, 25 Apr 2024 02:18:12 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Structural Time Series Models] [Deel 2 Structural...] [2011-12-17 17:32:38] [fd45a0bdad9cb518cfd91b75ef7bafe6] [Current]
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Dataseries X:
183.046
175.714
175.768
171.029
170.465
170.102
156.389
124.291
99.360
86.675
85.056
128.236
164.257
162.401
152.779
156.005
153.387
153.190
148.840
144.211
145.953
145.542
150.271
147.489
143.824
134.754
131.736
126.304
125.511
125.495
130.133
126.257
110.323
98.417
105.749
120.665
124.075
127.245
146.731
144.979
148.210
144.670
142.970
142.524
146.142
146.522
148.128
148.798
150.181
152.388
155.694
160.662
155.520
158.262
154.338
158.196
160.371
154.856
150.636
145.899
141.242
140.834
141.119
139.104
134.437
129.425
123.155
119.273
120.472
121.523
121.983
123.658
124.794
124.827
120.382
117.395
115.790
114.283
117.271
117.448
118.764
120.550
123.554
125.412
124.182
119.828
115.361
114.226
115.214
115.864
114.276
113.469
114.883
114.172
111.225
112.149
115.618
118.002
121.382
120.663
128.049




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=156515&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=156515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156515&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
1183.046183.046000
2175.714175.732403021243-6.99649879681643-0.0184030212433865-0.859844814910129
3175.768175.801794267875-0.0553095877381499-0.03379426787525820.823251469859346
4171.029171.062631563433-4.66446746493791-0.0336315634328831-0.554064734755155
5170.465170.498633830191-0.629252012683819-0.03363383019080330.485073012747827
6170.102170.135633832533-0.367236951002774-0.033633832533010.0314968152176777
7156.389156.422633830665-13.5006247260509-0.0336338306647545-1.57876377517733
8124.291124.324633830623-31.8020541890308-0.0336338306233254-2.20001376377617
999.3699.3936338306236-25.0403412201578-0.03363383062356890.812825119934777
1086.67586.7086338306236-12.881614383661-0.03363383062357591.46159984084283
1185.05685.0896338306236-1.79822548199986-0.0336338306235761.33233353068195
12128.236128.26963383062442.4642475230969-0.0336338306235765.32078928735924
13164.257164.05002456913635.901335109020.206975430863629-0.799375596878316
14162.401162.5660263526810.666170688965201-0.165026352680786-4.22895596064056
15152.779152.92488667259-9.46182067806393-0.145886672589664-1.20383182920727
16156.005156.1512622853853.02409587280981-0.1462622853854611.50092705572672
17153.387153.533259627389-2.52821557549207-0.146259627389296-0.667443033507497
18153.19153.336259644866-0.234097357765292-0.1462596448658930.275775816579623
19148.84148.986259644375-4.28450236243646-0.146259644374872-0.486898948367368
20144.211144.357259644374-4.62351790205748-0.146259644374218-0.0407530381607034
21145.953146.0992596443741.64070353584774-0.146259644374410.753021692136682
22145.542145.688259644374-0.378350604166402-0.146259644374409-0.242710379909151
23150.271150.4172596443744.64772514297373-0.1462596443744090.604184271171652
24147.489147.635259644374-2.66376847537211-0.146259644374409-0.878914219605634
25143.824142.272075755576-5.315133989073971.55192424442376-0.322373128480509
26134.754134.90213973863-7.26218573379183-0.148139738630451-0.23376420298697
27131.736131.891093664642-3.08425308076356-0.1550936646421960.497271522383796
28126.304126.459032451181-5.39463975397007-0.15503245118071-0.277730755420722
29125.511125.666034360457-0.866227323052505-0.1550343604571660.544360192735052
30125.495125.650034366071-0.0295299315587434-0.15503436607090.100579344423618
31130.133130.2880343665614.56372414598995-0.1550343665613160.552154803621706
32126.257126.412034366547-3.74169604742883-0.155034366547205-0.998394074977944
33110.323110.478034366547-15.739980079034-0.15503436654688-1.44231302066442
3498.41798.5720343665469-11.9670113162215-0.1550343665468820.453548353983793
35105.749105.9040343665477.02488883669066-0.1550343665468822.28301520497003
36120.665120.82003436654714.7904262962771-0.1550343665468820.933494803166486
37124.075122.6111391349032.019573725067511.46386086509654-1.55068918504703
38127.245127.369695964754.62580752924596-0.1246959647499040.312977998254472
39146.731146.87744931164519.2535479689292-0.1464493116453291.74289943792781
40144.979145.124959989986-1.41773362873603-0.145959989986068-2.48488802451401
41148.21148.3559617132653.15702325747751-0.1459617132651970.549931257025073
42144.67144.815961673759-3.43342818812775-0.145961673759174-0.792237782253939
43142.97143.115961673922-1.72758458133665-0.1459616739218960.205059360056073
44142.524142.669961673924-0.466394253633225-0.1459616739238110.151607615421595
45146.142146.2879616739243.55300376521396-0.1459616739239080.483171600417637
46146.522146.6679616739240.430492994773282-0.145961673923907-0.37535683682002
47148.128148.2739616739241.58729379179388-0.1459616739239070.139058956052616
48148.798148.9439616739240.684597181113497-0.145961673923907-0.10851310669629
49150.181148.592620590412-0.3333172083352171.58837940958846-0.123468220627307
50152.388152.5206358780633.73508763381224-0.1326358780631030.488649179114955
51155.694155.8260682068353.31272319988054-0.132068206835083-0.0503680943771331
52160.662160.7941030530484.94165916853154-0.1321030530477280.195813903885711
53155.52155.652099675017-4.9815355988-0.132099675016546-1.19286666114315
54158.262158.394099716192.61909297830121-0.1320997161904630.913671116062012
55154.338154.470099715635-3.81987772848663-0.132099715635391-0.774028291513483
56158.196158.3280997156463.73581954617748-0.1320997156457560.908269926827925
57160.371160.5030997156462.19983780638751-0.132099715645722-0.184640274973176
58154.856154.988099715646-5.39223138897427-0.132099715645719-0.912642193284582
59150.636150.768099715646-4.23865408230696-0.132099715645720.138671460466056
60145.899146.031099715646-4.72906966657485-0.13209971564572-0.058952828659758
61141.242139.811273035362-6.194102531767741.4307269646384-0.177549082195429
62140.834140.9456444749230.821799604682035-0.1116444749226410.842773919309908
63141.119141.229996695680.293422443904637-0.110996695679796-0.0630549686372683
64139.104139.214952368405-1.97826548687058-0.110952368404594-0.273078972540903
65134.437134.547951546797-4.62421333233684-0.110951546797441-0.318069235374897
66129.425129.535951544912-5.00582903027154-0.110951544911754-0.0458740006963694
67123.155123.265951544814-6.24988285457874-0.11095154481393-0.149547637352071
68119.273119.383951544817-3.91968085556998-0.1109515448168460.280113445814047
69120.472120.5829515448171.11754484116282-0.1109515448169470.605524605959102
70121.523121.6339515448171.05205894873302-0.110951544816946-0.0078720552932851
71121.983122.0939515448170.469421618004883-0.110951544816947-0.0700387994000445
72123.658123.7689515448171.65581525663214-0.1109515448169460.142616309808812
73124.794123.5985328177-0.1391207522915851.19546718230008-0.217376297563184
74124.827124.9322800593531.27415590966911-0.1052800593525890.169784061269219
75120.382120.48093602645-4.3551625179351-0.0989360264499145-0.672184171288407
76117.395117.493960177066-3.0087719241651-0.09896017706646750.161849261697914
77115.79115.888960571385-1.62733865876499-0.09896057138539890.166062011848272
78114.283114.381960571923-1.50891498646636-0.0989605719233180.0142357027105933
79117.271117.3699605722432.91643919462154-0.09896057224319750.531971566902546
80117.448117.546960572240.220593547052229-0.0989605722400968-0.324067447390686
81118.764118.862960572241.29856845676966-0.09896057224011660.129583300756967
82120.55120.648960572241.77824335040681-0.09896057224011650.0576616908681493
83123.554123.652960572242.98449415359043-0.09896057224011680.145003338397041
84125.412125.510960572241.87592625146966-0.0989605722401166-0.13326088258185
85124.182123.146795957109-2.291916813325731.03520404289103-0.504447654300185
86119.828119.924094599544-3.18677369643424-0.0960945995441237-0.107511931602695
87115.361115.455780581186-4.44687038028754-0.0947805811856527-0.150541024293034
88114.226114.320834674003-1.18770266317438-0.09483467400281740.391783749539346
89115.214115.3088352394950.953377367553028-0.09483523949467290.257379104982758
90115.864115.958835238240.654827738309718-0.0948352382398844-0.0358886334444034
91114.276114.370835238092-1.55230918535005-0.0948352380922646-0.265319800314629
92113.469113.563835238093-0.818860336635257-0.09483523809304550.088167843143745
93114.883114.9778352380931.37846779970978-0.09483523809308290.264140686566054
94114.172114.266835238093-0.677749649702168-0.0948352380930821-0.247177779155096
95111.225111.319835238093-2.91088871411593-0.0948352380930824-0.268445516131645
96112.149112.2438352380930.862974224386095-0.09483523809308230.453655842791059
97115.618114.5579129937572.289474036067921.060087006242960.17256645597025
98118.002118.0958963841453.491786891633-0.09389638414464140.14445995293318
99121.382121.475789603923.38175913581752-0.093789603919826-0.0131504687937015
100120.663120.75672728249-0.653743529166303-0.0937272824903939-0.485106835229045
101128.049128.1427292268477.25806106335001-0.09372922684682850.951077566299285

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 183.046 & 183.046 & 0 & 0 & 0 \tabularnewline
2 & 175.714 & 175.732403021243 & -6.99649879681643 & -0.0184030212433865 & -0.859844814910129 \tabularnewline
3 & 175.768 & 175.801794267875 & -0.0553095877381499 & -0.0337942678752582 & 0.823251469859346 \tabularnewline
4 & 171.029 & 171.062631563433 & -4.66446746493791 & -0.0336315634328831 & -0.554064734755155 \tabularnewline
5 & 170.465 & 170.498633830191 & -0.629252012683819 & -0.0336338301908033 & 0.485073012747827 \tabularnewline
6 & 170.102 & 170.135633832533 & -0.367236951002774 & -0.03363383253301 & 0.0314968152176777 \tabularnewline
7 & 156.389 & 156.422633830665 & -13.5006247260509 & -0.0336338306647545 & -1.57876377517733 \tabularnewline
8 & 124.291 & 124.324633830623 & -31.8020541890308 & -0.0336338306233254 & -2.20001376377617 \tabularnewline
9 & 99.36 & 99.3936338306236 & -25.0403412201578 & -0.0336338306235689 & 0.812825119934777 \tabularnewline
10 & 86.675 & 86.7086338306236 & -12.881614383661 & -0.0336338306235759 & 1.46159984084283 \tabularnewline
11 & 85.056 & 85.0896338306236 & -1.79822548199986 & -0.033633830623576 & 1.33233353068195 \tabularnewline
12 & 128.236 & 128.269633830624 & 42.4642475230969 & -0.033633830623576 & 5.32078928735924 \tabularnewline
13 & 164.257 & 164.050024569136 & 35.90133510902 & 0.206975430863629 & -0.799375596878316 \tabularnewline
14 & 162.401 & 162.566026352681 & 0.666170688965201 & -0.165026352680786 & -4.22895596064056 \tabularnewline
15 & 152.779 & 152.92488667259 & -9.46182067806393 & -0.145886672589664 & -1.20383182920727 \tabularnewline
16 & 156.005 & 156.151262285385 & 3.02409587280981 & -0.146262285385461 & 1.50092705572672 \tabularnewline
17 & 153.387 & 153.533259627389 & -2.52821557549207 & -0.146259627389296 & -0.667443033507497 \tabularnewline
18 & 153.19 & 153.336259644866 & -0.234097357765292 & -0.146259644865893 & 0.275775816579623 \tabularnewline
19 & 148.84 & 148.986259644375 & -4.28450236243646 & -0.146259644374872 & -0.486898948367368 \tabularnewline
20 & 144.211 & 144.357259644374 & -4.62351790205748 & -0.146259644374218 & -0.0407530381607034 \tabularnewline
21 & 145.953 & 146.099259644374 & 1.64070353584774 & -0.14625964437441 & 0.753021692136682 \tabularnewline
22 & 145.542 & 145.688259644374 & -0.378350604166402 & -0.146259644374409 & -0.242710379909151 \tabularnewline
23 & 150.271 & 150.417259644374 & 4.64772514297373 & -0.146259644374409 & 0.604184271171652 \tabularnewline
24 & 147.489 & 147.635259644374 & -2.66376847537211 & -0.146259644374409 & -0.878914219605634 \tabularnewline
25 & 143.824 & 142.272075755576 & -5.31513398907397 & 1.55192424442376 & -0.322373128480509 \tabularnewline
26 & 134.754 & 134.90213973863 & -7.26218573379183 & -0.148139738630451 & -0.23376420298697 \tabularnewline
27 & 131.736 & 131.891093664642 & -3.08425308076356 & -0.155093664642196 & 0.497271522383796 \tabularnewline
28 & 126.304 & 126.459032451181 & -5.39463975397007 & -0.15503245118071 & -0.277730755420722 \tabularnewline
29 & 125.511 & 125.666034360457 & -0.866227323052505 & -0.155034360457166 & 0.544360192735052 \tabularnewline
30 & 125.495 & 125.650034366071 & -0.0295299315587434 & -0.1550343660709 & 0.100579344423618 \tabularnewline
31 & 130.133 & 130.288034366561 & 4.56372414598995 & -0.155034366561316 & 0.552154803621706 \tabularnewline
32 & 126.257 & 126.412034366547 & -3.74169604742883 & -0.155034366547205 & -0.998394074977944 \tabularnewline
33 & 110.323 & 110.478034366547 & -15.739980079034 & -0.15503436654688 & -1.44231302066442 \tabularnewline
34 & 98.417 & 98.5720343665469 & -11.9670113162215 & -0.155034366546882 & 0.453548353983793 \tabularnewline
35 & 105.749 & 105.904034366547 & 7.02488883669066 & -0.155034366546882 & 2.28301520497003 \tabularnewline
36 & 120.665 & 120.820034366547 & 14.7904262962771 & -0.155034366546882 & 0.933494803166486 \tabularnewline
37 & 124.075 & 122.611139134903 & 2.01957372506751 & 1.46386086509654 & -1.55068918504703 \tabularnewline
38 & 127.245 & 127.36969596475 & 4.62580752924596 & -0.124695964749904 & 0.312977998254472 \tabularnewline
39 & 146.731 & 146.877449311645 & 19.2535479689292 & -0.146449311645329 & 1.74289943792781 \tabularnewline
40 & 144.979 & 145.124959989986 & -1.41773362873603 & -0.145959989986068 & -2.48488802451401 \tabularnewline
41 & 148.21 & 148.355961713265 & 3.15702325747751 & -0.145961713265197 & 0.549931257025073 \tabularnewline
42 & 144.67 & 144.815961673759 & -3.43342818812775 & -0.145961673759174 & -0.792237782253939 \tabularnewline
43 & 142.97 & 143.115961673922 & -1.72758458133665 & -0.145961673921896 & 0.205059360056073 \tabularnewline
44 & 142.524 & 142.669961673924 & -0.466394253633225 & -0.145961673923811 & 0.151607615421595 \tabularnewline
45 & 146.142 & 146.287961673924 & 3.55300376521396 & -0.145961673923908 & 0.483171600417637 \tabularnewline
46 & 146.522 & 146.667961673924 & 0.430492994773282 & -0.145961673923907 & -0.37535683682002 \tabularnewline
47 & 148.128 & 148.273961673924 & 1.58729379179388 & -0.145961673923907 & 0.139058956052616 \tabularnewline
48 & 148.798 & 148.943961673924 & 0.684597181113497 & -0.145961673923907 & -0.10851310669629 \tabularnewline
49 & 150.181 & 148.592620590412 & -0.333317208335217 & 1.58837940958846 & -0.123468220627307 \tabularnewline
50 & 152.388 & 152.520635878063 & 3.73508763381224 & -0.132635878063103 & 0.488649179114955 \tabularnewline
51 & 155.694 & 155.826068206835 & 3.31272319988054 & -0.132068206835083 & -0.0503680943771331 \tabularnewline
52 & 160.662 & 160.794103053048 & 4.94165916853154 & -0.132103053047728 & 0.195813903885711 \tabularnewline
53 & 155.52 & 155.652099675017 & -4.9815355988 & -0.132099675016546 & -1.19286666114315 \tabularnewline
54 & 158.262 & 158.39409971619 & 2.61909297830121 & -0.132099716190463 & 0.913671116062012 \tabularnewline
55 & 154.338 & 154.470099715635 & -3.81987772848663 & -0.132099715635391 & -0.774028291513483 \tabularnewline
56 & 158.196 & 158.328099715646 & 3.73581954617748 & -0.132099715645756 & 0.908269926827925 \tabularnewline
57 & 160.371 & 160.503099715646 & 2.19983780638751 & -0.132099715645722 & -0.184640274973176 \tabularnewline
58 & 154.856 & 154.988099715646 & -5.39223138897427 & -0.132099715645719 & -0.912642193284582 \tabularnewline
59 & 150.636 & 150.768099715646 & -4.23865408230696 & -0.13209971564572 & 0.138671460466056 \tabularnewline
60 & 145.899 & 146.031099715646 & -4.72906966657485 & -0.13209971564572 & -0.058952828659758 \tabularnewline
61 & 141.242 & 139.811273035362 & -6.19410253176774 & 1.4307269646384 & -0.177549082195429 \tabularnewline
62 & 140.834 & 140.945644474923 & 0.821799604682035 & -0.111644474922641 & 0.842773919309908 \tabularnewline
63 & 141.119 & 141.22999669568 & 0.293422443904637 & -0.110996695679796 & -0.0630549686372683 \tabularnewline
64 & 139.104 & 139.214952368405 & -1.97826548687058 & -0.110952368404594 & -0.273078972540903 \tabularnewline
65 & 134.437 & 134.547951546797 & -4.62421333233684 & -0.110951546797441 & -0.318069235374897 \tabularnewline
66 & 129.425 & 129.535951544912 & -5.00582903027154 & -0.110951544911754 & -0.0458740006963694 \tabularnewline
67 & 123.155 & 123.265951544814 & -6.24988285457874 & -0.11095154481393 & -0.149547637352071 \tabularnewline
68 & 119.273 & 119.383951544817 & -3.91968085556998 & -0.110951544816846 & 0.280113445814047 \tabularnewline
69 & 120.472 & 120.582951544817 & 1.11754484116282 & -0.110951544816947 & 0.605524605959102 \tabularnewline
70 & 121.523 & 121.633951544817 & 1.05205894873302 & -0.110951544816946 & -0.0078720552932851 \tabularnewline
71 & 121.983 & 122.093951544817 & 0.469421618004883 & -0.110951544816947 & -0.0700387994000445 \tabularnewline
72 & 123.658 & 123.768951544817 & 1.65581525663214 & -0.110951544816946 & 0.142616309808812 \tabularnewline
73 & 124.794 & 123.5985328177 & -0.139120752291585 & 1.19546718230008 & -0.217376297563184 \tabularnewline
74 & 124.827 & 124.932280059353 & 1.27415590966911 & -0.105280059352589 & 0.169784061269219 \tabularnewline
75 & 120.382 & 120.48093602645 & -4.3551625179351 & -0.0989360264499145 & -0.672184171288407 \tabularnewline
76 & 117.395 & 117.493960177066 & -3.0087719241651 & -0.0989601770664675 & 0.161849261697914 \tabularnewline
77 & 115.79 & 115.888960571385 & -1.62733865876499 & -0.0989605713853989 & 0.166062011848272 \tabularnewline
78 & 114.283 & 114.381960571923 & -1.50891498646636 & -0.098960571923318 & 0.0142357027105933 \tabularnewline
79 & 117.271 & 117.369960572243 & 2.91643919462154 & -0.0989605722431975 & 0.531971566902546 \tabularnewline
80 & 117.448 & 117.54696057224 & 0.220593547052229 & -0.0989605722400968 & -0.324067447390686 \tabularnewline
81 & 118.764 & 118.86296057224 & 1.29856845676966 & -0.0989605722401166 & 0.129583300756967 \tabularnewline
82 & 120.55 & 120.64896057224 & 1.77824335040681 & -0.0989605722401165 & 0.0576616908681493 \tabularnewline
83 & 123.554 & 123.65296057224 & 2.98449415359043 & -0.0989605722401168 & 0.145003338397041 \tabularnewline
84 & 125.412 & 125.51096057224 & 1.87592625146966 & -0.0989605722401166 & -0.13326088258185 \tabularnewline
85 & 124.182 & 123.146795957109 & -2.29191681332573 & 1.03520404289103 & -0.504447654300185 \tabularnewline
86 & 119.828 & 119.924094599544 & -3.18677369643424 & -0.0960945995441237 & -0.107511931602695 \tabularnewline
87 & 115.361 & 115.455780581186 & -4.44687038028754 & -0.0947805811856527 & -0.150541024293034 \tabularnewline
88 & 114.226 & 114.320834674003 & -1.18770266317438 & -0.0948346740028174 & 0.391783749539346 \tabularnewline
89 & 115.214 & 115.308835239495 & 0.953377367553028 & -0.0948352394946729 & 0.257379104982758 \tabularnewline
90 & 115.864 & 115.95883523824 & 0.654827738309718 & -0.0948352382398844 & -0.0358886334444034 \tabularnewline
91 & 114.276 & 114.370835238092 & -1.55230918535005 & -0.0948352380922646 & -0.265319800314629 \tabularnewline
92 & 113.469 & 113.563835238093 & -0.818860336635257 & -0.0948352380930455 & 0.088167843143745 \tabularnewline
93 & 114.883 & 114.977835238093 & 1.37846779970978 & -0.0948352380930829 & 0.264140686566054 \tabularnewline
94 & 114.172 & 114.266835238093 & -0.677749649702168 & -0.0948352380930821 & -0.247177779155096 \tabularnewline
95 & 111.225 & 111.319835238093 & -2.91088871411593 & -0.0948352380930824 & -0.268445516131645 \tabularnewline
96 & 112.149 & 112.243835238093 & 0.862974224386095 & -0.0948352380930823 & 0.453655842791059 \tabularnewline
97 & 115.618 & 114.557912993757 & 2.28947403606792 & 1.06008700624296 & 0.17256645597025 \tabularnewline
98 & 118.002 & 118.095896384145 & 3.491786891633 & -0.0938963841446414 & 0.14445995293318 \tabularnewline
99 & 121.382 & 121.47578960392 & 3.38175913581752 & -0.093789603919826 & -0.0131504687937015 \tabularnewline
100 & 120.663 & 120.75672728249 & -0.653743529166303 & -0.0937272824903939 & -0.485106835229045 \tabularnewline
101 & 128.049 & 128.142729226847 & 7.25806106335001 & -0.0937292268468285 & 0.951077566299285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156515&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]183.046[/C][C]183.046[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]175.714[/C][C]175.732403021243[/C][C]-6.99649879681643[/C][C]-0.0184030212433865[/C][C]-0.859844814910129[/C][/ROW]
[ROW][C]3[/C][C]175.768[/C][C]175.801794267875[/C][C]-0.0553095877381499[/C][C]-0.0337942678752582[/C][C]0.823251469859346[/C][/ROW]
[ROW][C]4[/C][C]171.029[/C][C]171.062631563433[/C][C]-4.66446746493791[/C][C]-0.0336315634328831[/C][C]-0.554064734755155[/C][/ROW]
[ROW][C]5[/C][C]170.465[/C][C]170.498633830191[/C][C]-0.629252012683819[/C][C]-0.0336338301908033[/C][C]0.485073012747827[/C][/ROW]
[ROW][C]6[/C][C]170.102[/C][C]170.135633832533[/C][C]-0.367236951002774[/C][C]-0.03363383253301[/C][C]0.0314968152176777[/C][/ROW]
[ROW][C]7[/C][C]156.389[/C][C]156.422633830665[/C][C]-13.5006247260509[/C][C]-0.0336338306647545[/C][C]-1.57876377517733[/C][/ROW]
[ROW][C]8[/C][C]124.291[/C][C]124.324633830623[/C][C]-31.8020541890308[/C][C]-0.0336338306233254[/C][C]-2.20001376377617[/C][/ROW]
[ROW][C]9[/C][C]99.36[/C][C]99.3936338306236[/C][C]-25.0403412201578[/C][C]-0.0336338306235689[/C][C]0.812825119934777[/C][/ROW]
[ROW][C]10[/C][C]86.675[/C][C]86.7086338306236[/C][C]-12.881614383661[/C][C]-0.0336338306235759[/C][C]1.46159984084283[/C][/ROW]
[ROW][C]11[/C][C]85.056[/C][C]85.0896338306236[/C][C]-1.79822548199986[/C][C]-0.033633830623576[/C][C]1.33233353068195[/C][/ROW]
[ROW][C]12[/C][C]128.236[/C][C]128.269633830624[/C][C]42.4642475230969[/C][C]-0.033633830623576[/C][C]5.32078928735924[/C][/ROW]
[ROW][C]13[/C][C]164.257[/C][C]164.050024569136[/C][C]35.90133510902[/C][C]0.206975430863629[/C][C]-0.799375596878316[/C][/ROW]
[ROW][C]14[/C][C]162.401[/C][C]162.566026352681[/C][C]0.666170688965201[/C][C]-0.165026352680786[/C][C]-4.22895596064056[/C][/ROW]
[ROW][C]15[/C][C]152.779[/C][C]152.92488667259[/C][C]-9.46182067806393[/C][C]-0.145886672589664[/C][C]-1.20383182920727[/C][/ROW]
[ROW][C]16[/C][C]156.005[/C][C]156.151262285385[/C][C]3.02409587280981[/C][C]-0.146262285385461[/C][C]1.50092705572672[/C][/ROW]
[ROW][C]17[/C][C]153.387[/C][C]153.533259627389[/C][C]-2.52821557549207[/C][C]-0.146259627389296[/C][C]-0.667443033507497[/C][/ROW]
[ROW][C]18[/C][C]153.19[/C][C]153.336259644866[/C][C]-0.234097357765292[/C][C]-0.146259644865893[/C][C]0.275775816579623[/C][/ROW]
[ROW][C]19[/C][C]148.84[/C][C]148.986259644375[/C][C]-4.28450236243646[/C][C]-0.146259644374872[/C][C]-0.486898948367368[/C][/ROW]
[ROW][C]20[/C][C]144.211[/C][C]144.357259644374[/C][C]-4.62351790205748[/C][C]-0.146259644374218[/C][C]-0.0407530381607034[/C][/ROW]
[ROW][C]21[/C][C]145.953[/C][C]146.099259644374[/C][C]1.64070353584774[/C][C]-0.14625964437441[/C][C]0.753021692136682[/C][/ROW]
[ROW][C]22[/C][C]145.542[/C][C]145.688259644374[/C][C]-0.378350604166402[/C][C]-0.146259644374409[/C][C]-0.242710379909151[/C][/ROW]
[ROW][C]23[/C][C]150.271[/C][C]150.417259644374[/C][C]4.64772514297373[/C][C]-0.146259644374409[/C][C]0.604184271171652[/C][/ROW]
[ROW][C]24[/C][C]147.489[/C][C]147.635259644374[/C][C]-2.66376847537211[/C][C]-0.146259644374409[/C][C]-0.878914219605634[/C][/ROW]
[ROW][C]25[/C][C]143.824[/C][C]142.272075755576[/C][C]-5.31513398907397[/C][C]1.55192424442376[/C][C]-0.322373128480509[/C][/ROW]
[ROW][C]26[/C][C]134.754[/C][C]134.90213973863[/C][C]-7.26218573379183[/C][C]-0.148139738630451[/C][C]-0.23376420298697[/C][/ROW]
[ROW][C]27[/C][C]131.736[/C][C]131.891093664642[/C][C]-3.08425308076356[/C][C]-0.155093664642196[/C][C]0.497271522383796[/C][/ROW]
[ROW][C]28[/C][C]126.304[/C][C]126.459032451181[/C][C]-5.39463975397007[/C][C]-0.15503245118071[/C][C]-0.277730755420722[/C][/ROW]
[ROW][C]29[/C][C]125.511[/C][C]125.666034360457[/C][C]-0.866227323052505[/C][C]-0.155034360457166[/C][C]0.544360192735052[/C][/ROW]
[ROW][C]30[/C][C]125.495[/C][C]125.650034366071[/C][C]-0.0295299315587434[/C][C]-0.1550343660709[/C][C]0.100579344423618[/C][/ROW]
[ROW][C]31[/C][C]130.133[/C][C]130.288034366561[/C][C]4.56372414598995[/C][C]-0.155034366561316[/C][C]0.552154803621706[/C][/ROW]
[ROW][C]32[/C][C]126.257[/C][C]126.412034366547[/C][C]-3.74169604742883[/C][C]-0.155034366547205[/C][C]-0.998394074977944[/C][/ROW]
[ROW][C]33[/C][C]110.323[/C][C]110.478034366547[/C][C]-15.739980079034[/C][C]-0.15503436654688[/C][C]-1.44231302066442[/C][/ROW]
[ROW][C]34[/C][C]98.417[/C][C]98.5720343665469[/C][C]-11.9670113162215[/C][C]-0.155034366546882[/C][C]0.453548353983793[/C][/ROW]
[ROW][C]35[/C][C]105.749[/C][C]105.904034366547[/C][C]7.02488883669066[/C][C]-0.155034366546882[/C][C]2.28301520497003[/C][/ROW]
[ROW][C]36[/C][C]120.665[/C][C]120.820034366547[/C][C]14.7904262962771[/C][C]-0.155034366546882[/C][C]0.933494803166486[/C][/ROW]
[ROW][C]37[/C][C]124.075[/C][C]122.611139134903[/C][C]2.01957372506751[/C][C]1.46386086509654[/C][C]-1.55068918504703[/C][/ROW]
[ROW][C]38[/C][C]127.245[/C][C]127.36969596475[/C][C]4.62580752924596[/C][C]-0.124695964749904[/C][C]0.312977998254472[/C][/ROW]
[ROW][C]39[/C][C]146.731[/C][C]146.877449311645[/C][C]19.2535479689292[/C][C]-0.146449311645329[/C][C]1.74289943792781[/C][/ROW]
[ROW][C]40[/C][C]144.979[/C][C]145.124959989986[/C][C]-1.41773362873603[/C][C]-0.145959989986068[/C][C]-2.48488802451401[/C][/ROW]
[ROW][C]41[/C][C]148.21[/C][C]148.355961713265[/C][C]3.15702325747751[/C][C]-0.145961713265197[/C][C]0.549931257025073[/C][/ROW]
[ROW][C]42[/C][C]144.67[/C][C]144.815961673759[/C][C]-3.43342818812775[/C][C]-0.145961673759174[/C][C]-0.792237782253939[/C][/ROW]
[ROW][C]43[/C][C]142.97[/C][C]143.115961673922[/C][C]-1.72758458133665[/C][C]-0.145961673921896[/C][C]0.205059360056073[/C][/ROW]
[ROW][C]44[/C][C]142.524[/C][C]142.669961673924[/C][C]-0.466394253633225[/C][C]-0.145961673923811[/C][C]0.151607615421595[/C][/ROW]
[ROW][C]45[/C][C]146.142[/C][C]146.287961673924[/C][C]3.55300376521396[/C][C]-0.145961673923908[/C][C]0.483171600417637[/C][/ROW]
[ROW][C]46[/C][C]146.522[/C][C]146.667961673924[/C][C]0.430492994773282[/C][C]-0.145961673923907[/C][C]-0.37535683682002[/C][/ROW]
[ROW][C]47[/C][C]148.128[/C][C]148.273961673924[/C][C]1.58729379179388[/C][C]-0.145961673923907[/C][C]0.139058956052616[/C][/ROW]
[ROW][C]48[/C][C]148.798[/C][C]148.943961673924[/C][C]0.684597181113497[/C][C]-0.145961673923907[/C][C]-0.10851310669629[/C][/ROW]
[ROW][C]49[/C][C]150.181[/C][C]148.592620590412[/C][C]-0.333317208335217[/C][C]1.58837940958846[/C][C]-0.123468220627307[/C][/ROW]
[ROW][C]50[/C][C]152.388[/C][C]152.520635878063[/C][C]3.73508763381224[/C][C]-0.132635878063103[/C][C]0.488649179114955[/C][/ROW]
[ROW][C]51[/C][C]155.694[/C][C]155.826068206835[/C][C]3.31272319988054[/C][C]-0.132068206835083[/C][C]-0.0503680943771331[/C][/ROW]
[ROW][C]52[/C][C]160.662[/C][C]160.794103053048[/C][C]4.94165916853154[/C][C]-0.132103053047728[/C][C]0.195813903885711[/C][/ROW]
[ROW][C]53[/C][C]155.52[/C][C]155.652099675017[/C][C]-4.9815355988[/C][C]-0.132099675016546[/C][C]-1.19286666114315[/C][/ROW]
[ROW][C]54[/C][C]158.262[/C][C]158.39409971619[/C][C]2.61909297830121[/C][C]-0.132099716190463[/C][C]0.913671116062012[/C][/ROW]
[ROW][C]55[/C][C]154.338[/C][C]154.470099715635[/C][C]-3.81987772848663[/C][C]-0.132099715635391[/C][C]-0.774028291513483[/C][/ROW]
[ROW][C]56[/C][C]158.196[/C][C]158.328099715646[/C][C]3.73581954617748[/C][C]-0.132099715645756[/C][C]0.908269926827925[/C][/ROW]
[ROW][C]57[/C][C]160.371[/C][C]160.503099715646[/C][C]2.19983780638751[/C][C]-0.132099715645722[/C][C]-0.184640274973176[/C][/ROW]
[ROW][C]58[/C][C]154.856[/C][C]154.988099715646[/C][C]-5.39223138897427[/C][C]-0.132099715645719[/C][C]-0.912642193284582[/C][/ROW]
[ROW][C]59[/C][C]150.636[/C][C]150.768099715646[/C][C]-4.23865408230696[/C][C]-0.13209971564572[/C][C]0.138671460466056[/C][/ROW]
[ROW][C]60[/C][C]145.899[/C][C]146.031099715646[/C][C]-4.72906966657485[/C][C]-0.13209971564572[/C][C]-0.058952828659758[/C][/ROW]
[ROW][C]61[/C][C]141.242[/C][C]139.811273035362[/C][C]-6.19410253176774[/C][C]1.4307269646384[/C][C]-0.177549082195429[/C][/ROW]
[ROW][C]62[/C][C]140.834[/C][C]140.945644474923[/C][C]0.821799604682035[/C][C]-0.111644474922641[/C][C]0.842773919309908[/C][/ROW]
[ROW][C]63[/C][C]141.119[/C][C]141.22999669568[/C][C]0.293422443904637[/C][C]-0.110996695679796[/C][C]-0.0630549686372683[/C][/ROW]
[ROW][C]64[/C][C]139.104[/C][C]139.214952368405[/C][C]-1.97826548687058[/C][C]-0.110952368404594[/C][C]-0.273078972540903[/C][/ROW]
[ROW][C]65[/C][C]134.437[/C][C]134.547951546797[/C][C]-4.62421333233684[/C][C]-0.110951546797441[/C][C]-0.318069235374897[/C][/ROW]
[ROW][C]66[/C][C]129.425[/C][C]129.535951544912[/C][C]-5.00582903027154[/C][C]-0.110951544911754[/C][C]-0.0458740006963694[/C][/ROW]
[ROW][C]67[/C][C]123.155[/C][C]123.265951544814[/C][C]-6.24988285457874[/C][C]-0.11095154481393[/C][C]-0.149547637352071[/C][/ROW]
[ROW][C]68[/C][C]119.273[/C][C]119.383951544817[/C][C]-3.91968085556998[/C][C]-0.110951544816846[/C][C]0.280113445814047[/C][/ROW]
[ROW][C]69[/C][C]120.472[/C][C]120.582951544817[/C][C]1.11754484116282[/C][C]-0.110951544816947[/C][C]0.605524605959102[/C][/ROW]
[ROW][C]70[/C][C]121.523[/C][C]121.633951544817[/C][C]1.05205894873302[/C][C]-0.110951544816946[/C][C]-0.0078720552932851[/C][/ROW]
[ROW][C]71[/C][C]121.983[/C][C]122.093951544817[/C][C]0.469421618004883[/C][C]-0.110951544816947[/C][C]-0.0700387994000445[/C][/ROW]
[ROW][C]72[/C][C]123.658[/C][C]123.768951544817[/C][C]1.65581525663214[/C][C]-0.110951544816946[/C][C]0.142616309808812[/C][/ROW]
[ROW][C]73[/C][C]124.794[/C][C]123.5985328177[/C][C]-0.139120752291585[/C][C]1.19546718230008[/C][C]-0.217376297563184[/C][/ROW]
[ROW][C]74[/C][C]124.827[/C][C]124.932280059353[/C][C]1.27415590966911[/C][C]-0.105280059352589[/C][C]0.169784061269219[/C][/ROW]
[ROW][C]75[/C][C]120.382[/C][C]120.48093602645[/C][C]-4.3551625179351[/C][C]-0.0989360264499145[/C][C]-0.672184171288407[/C][/ROW]
[ROW][C]76[/C][C]117.395[/C][C]117.493960177066[/C][C]-3.0087719241651[/C][C]-0.0989601770664675[/C][C]0.161849261697914[/C][/ROW]
[ROW][C]77[/C][C]115.79[/C][C]115.888960571385[/C][C]-1.62733865876499[/C][C]-0.0989605713853989[/C][C]0.166062011848272[/C][/ROW]
[ROW][C]78[/C][C]114.283[/C][C]114.381960571923[/C][C]-1.50891498646636[/C][C]-0.098960571923318[/C][C]0.0142357027105933[/C][/ROW]
[ROW][C]79[/C][C]117.271[/C][C]117.369960572243[/C][C]2.91643919462154[/C][C]-0.0989605722431975[/C][C]0.531971566902546[/C][/ROW]
[ROW][C]80[/C][C]117.448[/C][C]117.54696057224[/C][C]0.220593547052229[/C][C]-0.0989605722400968[/C][C]-0.324067447390686[/C][/ROW]
[ROW][C]81[/C][C]118.764[/C][C]118.86296057224[/C][C]1.29856845676966[/C][C]-0.0989605722401166[/C][C]0.129583300756967[/C][/ROW]
[ROW][C]82[/C][C]120.55[/C][C]120.64896057224[/C][C]1.77824335040681[/C][C]-0.0989605722401165[/C][C]0.0576616908681493[/C][/ROW]
[ROW][C]83[/C][C]123.554[/C][C]123.65296057224[/C][C]2.98449415359043[/C][C]-0.0989605722401168[/C][C]0.145003338397041[/C][/ROW]
[ROW][C]84[/C][C]125.412[/C][C]125.51096057224[/C][C]1.87592625146966[/C][C]-0.0989605722401166[/C][C]-0.13326088258185[/C][/ROW]
[ROW][C]85[/C][C]124.182[/C][C]123.146795957109[/C][C]-2.29191681332573[/C][C]1.03520404289103[/C][C]-0.504447654300185[/C][/ROW]
[ROW][C]86[/C][C]119.828[/C][C]119.924094599544[/C][C]-3.18677369643424[/C][C]-0.0960945995441237[/C][C]-0.107511931602695[/C][/ROW]
[ROW][C]87[/C][C]115.361[/C][C]115.455780581186[/C][C]-4.44687038028754[/C][C]-0.0947805811856527[/C][C]-0.150541024293034[/C][/ROW]
[ROW][C]88[/C][C]114.226[/C][C]114.320834674003[/C][C]-1.18770266317438[/C][C]-0.0948346740028174[/C][C]0.391783749539346[/C][/ROW]
[ROW][C]89[/C][C]115.214[/C][C]115.308835239495[/C][C]0.953377367553028[/C][C]-0.0948352394946729[/C][C]0.257379104982758[/C][/ROW]
[ROW][C]90[/C][C]115.864[/C][C]115.95883523824[/C][C]0.654827738309718[/C][C]-0.0948352382398844[/C][C]-0.0358886334444034[/C][/ROW]
[ROW][C]91[/C][C]114.276[/C][C]114.370835238092[/C][C]-1.55230918535005[/C][C]-0.0948352380922646[/C][C]-0.265319800314629[/C][/ROW]
[ROW][C]92[/C][C]113.469[/C][C]113.563835238093[/C][C]-0.818860336635257[/C][C]-0.0948352380930455[/C][C]0.088167843143745[/C][/ROW]
[ROW][C]93[/C][C]114.883[/C][C]114.977835238093[/C][C]1.37846779970978[/C][C]-0.0948352380930829[/C][C]0.264140686566054[/C][/ROW]
[ROW][C]94[/C][C]114.172[/C][C]114.266835238093[/C][C]-0.677749649702168[/C][C]-0.0948352380930821[/C][C]-0.247177779155096[/C][/ROW]
[ROW][C]95[/C][C]111.225[/C][C]111.319835238093[/C][C]-2.91088871411593[/C][C]-0.0948352380930824[/C][C]-0.268445516131645[/C][/ROW]
[ROW][C]96[/C][C]112.149[/C][C]112.243835238093[/C][C]0.862974224386095[/C][C]-0.0948352380930823[/C][C]0.453655842791059[/C][/ROW]
[ROW][C]97[/C][C]115.618[/C][C]114.557912993757[/C][C]2.28947403606792[/C][C]1.06008700624296[/C][C]0.17256645597025[/C][/ROW]
[ROW][C]98[/C][C]118.002[/C][C]118.095896384145[/C][C]3.491786891633[/C][C]-0.0938963841446414[/C][C]0.14445995293318[/C][/ROW]
[ROW][C]99[/C][C]121.382[/C][C]121.47578960392[/C][C]3.38175913581752[/C][C]-0.093789603919826[/C][C]-0.0131504687937015[/C][/ROW]
[ROW][C]100[/C][C]120.663[/C][C]120.75672728249[/C][C]-0.653743529166303[/C][C]-0.0937272824903939[/C][C]-0.485106835229045[/C][/ROW]
[ROW][C]101[/C][C]128.049[/C][C]128.142729226847[/C][C]7.25806106335001[/C][C]-0.0937292268468285[/C][C]0.951077566299285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156515&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
1183.046183.046000
2175.714175.732403021243-6.99649879681643-0.0184030212433865-0.859844814910129
3175.768175.801794267875-0.0553095877381499-0.03379426787525820.823251469859346
4171.029171.062631563433-4.66446746493791-0.0336315634328831-0.554064734755155
5170.465170.498633830191-0.629252012683819-0.03363383019080330.485073012747827
6170.102170.135633832533-0.367236951002774-0.033633832533010.0314968152176777
7156.389156.422633830665-13.5006247260509-0.0336338306647545-1.57876377517733
8124.291124.324633830623-31.8020541890308-0.0336338306233254-2.20001376377617
999.3699.3936338306236-25.0403412201578-0.03363383062356890.812825119934777
1086.67586.7086338306236-12.881614383661-0.03363383062357591.46159984084283
1185.05685.0896338306236-1.79822548199986-0.0336338306235761.33233353068195
12128.236128.26963383062442.4642475230969-0.0336338306235765.32078928735924
13164.257164.05002456913635.901335109020.206975430863629-0.799375596878316
14162.401162.5660263526810.666170688965201-0.165026352680786-4.22895596064056
15152.779152.92488667259-9.46182067806393-0.145886672589664-1.20383182920727
16156.005156.1512622853853.02409587280981-0.1462622853854611.50092705572672
17153.387153.533259627389-2.52821557549207-0.146259627389296-0.667443033507497
18153.19153.336259644866-0.234097357765292-0.1462596448658930.275775816579623
19148.84148.986259644375-4.28450236243646-0.146259644374872-0.486898948367368
20144.211144.357259644374-4.62351790205748-0.146259644374218-0.0407530381607034
21145.953146.0992596443741.64070353584774-0.146259644374410.753021692136682
22145.542145.688259644374-0.378350604166402-0.146259644374409-0.242710379909151
23150.271150.4172596443744.64772514297373-0.1462596443744090.604184271171652
24147.489147.635259644374-2.66376847537211-0.146259644374409-0.878914219605634
25143.824142.272075755576-5.315133989073971.55192424442376-0.322373128480509
26134.754134.90213973863-7.26218573379183-0.148139738630451-0.23376420298697
27131.736131.891093664642-3.08425308076356-0.1550936646421960.497271522383796
28126.304126.459032451181-5.39463975397007-0.15503245118071-0.277730755420722
29125.511125.666034360457-0.866227323052505-0.1550343604571660.544360192735052
30125.495125.650034366071-0.0295299315587434-0.15503436607090.100579344423618
31130.133130.2880343665614.56372414598995-0.1550343665613160.552154803621706
32126.257126.412034366547-3.74169604742883-0.155034366547205-0.998394074977944
33110.323110.478034366547-15.739980079034-0.15503436654688-1.44231302066442
3498.41798.5720343665469-11.9670113162215-0.1550343665468820.453548353983793
35105.749105.9040343665477.02488883669066-0.1550343665468822.28301520497003
36120.665120.82003436654714.7904262962771-0.1550343665468820.933494803166486
37124.075122.6111391349032.019573725067511.46386086509654-1.55068918504703
38127.245127.369695964754.62580752924596-0.1246959647499040.312977998254472
39146.731146.87744931164519.2535479689292-0.1464493116453291.74289943792781
40144.979145.124959989986-1.41773362873603-0.145959989986068-2.48488802451401
41148.21148.3559617132653.15702325747751-0.1459617132651970.549931257025073
42144.67144.815961673759-3.43342818812775-0.145961673759174-0.792237782253939
43142.97143.115961673922-1.72758458133665-0.1459616739218960.205059360056073
44142.524142.669961673924-0.466394253633225-0.1459616739238110.151607615421595
45146.142146.2879616739243.55300376521396-0.1459616739239080.483171600417637
46146.522146.6679616739240.430492994773282-0.145961673923907-0.37535683682002
47148.128148.2739616739241.58729379179388-0.1459616739239070.139058956052616
48148.798148.9439616739240.684597181113497-0.145961673923907-0.10851310669629
49150.181148.592620590412-0.3333172083352171.58837940958846-0.123468220627307
50152.388152.5206358780633.73508763381224-0.1326358780631030.488649179114955
51155.694155.8260682068353.31272319988054-0.132068206835083-0.0503680943771331
52160.662160.7941030530484.94165916853154-0.1321030530477280.195813903885711
53155.52155.652099675017-4.9815355988-0.132099675016546-1.19286666114315
54158.262158.394099716192.61909297830121-0.1320997161904630.913671116062012
55154.338154.470099715635-3.81987772848663-0.132099715635391-0.774028291513483
56158.196158.3280997156463.73581954617748-0.1320997156457560.908269926827925
57160.371160.5030997156462.19983780638751-0.132099715645722-0.184640274973176
58154.856154.988099715646-5.39223138897427-0.132099715645719-0.912642193284582
59150.636150.768099715646-4.23865408230696-0.132099715645720.138671460466056
60145.899146.031099715646-4.72906966657485-0.13209971564572-0.058952828659758
61141.242139.811273035362-6.194102531767741.4307269646384-0.177549082195429
62140.834140.9456444749230.821799604682035-0.1116444749226410.842773919309908
63141.119141.229996695680.293422443904637-0.110996695679796-0.0630549686372683
64139.104139.214952368405-1.97826548687058-0.110952368404594-0.273078972540903
65134.437134.547951546797-4.62421333233684-0.110951546797441-0.318069235374897
66129.425129.535951544912-5.00582903027154-0.110951544911754-0.0458740006963694
67123.155123.265951544814-6.24988285457874-0.11095154481393-0.149547637352071
68119.273119.383951544817-3.91968085556998-0.1109515448168460.280113445814047
69120.472120.5829515448171.11754484116282-0.1109515448169470.605524605959102
70121.523121.6339515448171.05205894873302-0.110951544816946-0.0078720552932851
71121.983122.0939515448170.469421618004883-0.110951544816947-0.0700387994000445
72123.658123.7689515448171.65581525663214-0.1109515448169460.142616309808812
73124.794123.5985328177-0.1391207522915851.19546718230008-0.217376297563184
74124.827124.9322800593531.27415590966911-0.1052800593525890.169784061269219
75120.382120.48093602645-4.3551625179351-0.0989360264499145-0.672184171288407
76117.395117.493960177066-3.0087719241651-0.09896017706646750.161849261697914
77115.79115.888960571385-1.62733865876499-0.09896057138539890.166062011848272
78114.283114.381960571923-1.50891498646636-0.0989605719233180.0142357027105933
79117.271117.3699605722432.91643919462154-0.09896057224319750.531971566902546
80117.448117.546960572240.220593547052229-0.0989605722400968-0.324067447390686
81118.764118.862960572241.29856845676966-0.09896057224011660.129583300756967
82120.55120.648960572241.77824335040681-0.09896057224011650.0576616908681493
83123.554123.652960572242.98449415359043-0.09896057224011680.145003338397041
84125.412125.510960572241.87592625146966-0.0989605722401166-0.13326088258185
85124.182123.146795957109-2.291916813325731.03520404289103-0.504447654300185
86119.828119.924094599544-3.18677369643424-0.0960945995441237-0.107511931602695
87115.361115.455780581186-4.44687038028754-0.0947805811856527-0.150541024293034
88114.226114.320834674003-1.18770266317438-0.09483467400281740.391783749539346
89115.214115.3088352394950.953377367553028-0.09483523949467290.257379104982758
90115.864115.958835238240.654827738309718-0.0948352382398844-0.0358886334444034
91114.276114.370835238092-1.55230918535005-0.0948352380922646-0.265319800314629
92113.469113.563835238093-0.818860336635257-0.09483523809304550.088167843143745
93114.883114.9778352380931.37846779970978-0.09483523809308290.264140686566054
94114.172114.266835238093-0.677749649702168-0.0948352380930821-0.247177779155096
95111.225111.319835238093-2.91088871411593-0.0948352380930824-0.268445516131645
96112.149112.2438352380930.862974224386095-0.09483523809308230.453655842791059
97115.618114.5579129937572.289474036067921.060087006242960.17256645597025
98118.002118.0958963841453.491786891633-0.09389638414464140.14445995293318
99121.382121.475789603923.38175913581752-0.093789603919826-0.0131504687937015
100120.663120.75672728249-0.653743529166303-0.0937272824903939-0.485106835229045
101128.049128.1427292268477.25806106335001-0.09372922684682850.951077566299285



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')