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Author's title

Author*Unverified author*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationFri, 04 Dec 2009 07:53:13 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/04/t1259938496lnitr6p6ur7nxsf.htm/, Retrieved Sun, 28 Apr 2024 03:19:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63680, Retrieved Sun, 28 Apr 2024 03:19:27 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS9
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Structural Time Series Models] [] [2009-11-27 15:02:30] [b98453cac15ba1066b407e146608df68]
- R PD      [Structural Time Series Models] [] [2009-12-04 14:53:13] [804cfcbb1316ddd20a1b05c1540f0b0b] [Current]
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Dataseries X:
106370
109375
116476
123297
114813
117925
126466
131235
120546
123791
129813
133463
122987
125418
130199
133016
121454
122044
128313
131556
120027
123001
130111
132524
123742
124931
133646
136557
127509
128945
137191
139716
129083
131604
139413
143125
133948
137116
144864
149277
138796
143258
150034
154708
144888
148762
156500
161088
152772
158011
163318
169969
162269
165765
170600
174681
166364
170240
176150
182056
172218
177856
182253
188090
176863
183273
187969
194650
183036
189516
193805
200499
188142
193732
197126
205140
191751
196700
199784
207360
196101
200824
205743
212489
200810
203683
207286
210910
194915
217920




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63680&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63680&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63680&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' @ 72.249.127.135







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1106370106370000
2109375108922.636126821728.117486074552452.3638731786120.53976180342067
3116476112678.7166501951500.848942173633797.283349805061.84863387241178
4123297117660.8130749532302.655645483205636.186925046683.22371511887175
5114813120021.8444312902313.72369869994-5208.844431289760.0542558685507608
6117925121405.7741768282120.59311952945-3480.77417682802-0.836149363249779
7126466123780.9722720632176.912810189912685.027727936570.220212956480617
8131235125777.0314443162136.472007443015457.96855568442-0.156203119766590
9120546126700.8379547441866.19469106145-6154.83795474398-1.05231160837369
10123791127779.2282492171690.53239716189-3988.22824921662-0.683042197653349
11129813128095.4814427701383.32855828281717.51855723018-1.18980920536799
12133463128154.9516783001086.986111390375308.04832169982-1.14527250110319
13122987128596.102786079942.376065733486-5609.10278607887-0.558698997672846
14125418128877.507761650794.369139382407-3459.50776165024-0.571797086477347
15130199128609.375783647556.4293478142781589.62421635329-0.919108483204108
16133016128067.596183975310.4731687847014948.4038160248-0.94995527225756
17121454127295.03008731167.905321585922-5841.03008731097-0.936817030554
18122044125935.259207793-251.854576985965-3891.25920779303-1.23491973534993
19128313125477.442227980-297.9847079701722835.55777201953-0.178154160893119
20131556125372.959262827-254.6452476017056183.040737173470.167375519863296
21120027125119.388257161-254.404644123481-5092.38825716130.000929198649321629
22123001125741.574038062-58.0699420297922-2740.57403806170.758233468448591
23130111126628.305712260153.5425043407163482.694287740230.817234630321607
24132524126863.120825001171.7455855183995660.87917499950.070299182584383
25123742128166.643478809425.236078248037-4424.643478808560.978964468090956
26124931128657.546233033439.943815450632-3726.546233032960.0568003552385746
27133646129716.030049186578.4817280219243929.96995081360.535024660628051
28136557130981.492049868732.34860014755575.507950131530.594224113316412
29127509132029.793728439803.114405912926-4520.793728439210.273293054024037
30128945133045.084457054850.636742530929-4100.08445705370.183528248297534
31137191133856.146766401841.7730318283173334.85323359930-0.0342310880615040
32139716134538.370247873806.0378122428025177.62975212698-0.138007149170096
33129083134579.516085602634.720609314018-5496.51608560233-0.661616159639324
34131604135250.151089242642.764560341107-3646.151089241780.0310652280783169
35139413135871.754021700638.0248702645253541.24597829978-0.0183043820992696
36143125136962.93580267739.5209992502876162.064197329950.391971604920762
37133948138585.198768345937.233734896174-4637.198768345190.763554029794596
38137116140299.4529875771111.26742929422-3183.452987576690.67210707613579
39144864141728.8127373711182.512374329083135.187262629340.275143453461322
40149277143362.0667958231283.467551304755914.933204176950.38988248252316
41138796144419.0442670701232.739280721-5623.04426707025-0.195909359595220
42143258146080.7348964321328.81395240476-2822.734896431500.371034281007554
43150034147360.7015891901317.873354017392673.29841081021-0.0422518962105180
44154708148703.6295406511323.484974615556004.37045934850.0216717223949620
45144888150351.8499350641396.2178123606-5463.849935063960.280889600612782
46148762151732.4546269431392.72085302249-2970.45462694307-0.0135050348961255
47156500153473.4622772171470.728626640353026.537722783320.301261067978768
48161088155158.6803604361518.769049373255929.319639563970.185529061879942
49152772157450.0744486381691.81827086577-4678.074448637790.668305104246513
50158011160234.8644666871936.61736545650-2223.864466686600.94539855781426
51163318161681.3377098571826.837000443431636.66229014347-0.423964798289767
52169969163940.2800215841923.618083067736028.719978416130.373762395198737
53162269166666.2368136412103.32244415666-4397.23681364130.694006830745987
54165765168504.4288929832043.93968936677-2739.42889298285-0.229332428011046
55170600169965.3715098081913.36252131543634.628490192199-0.504280730962624
56174681170485.2054395251601.246001937174195.794560475-1.20537417748022
57166364171081.2789723081376.11181069139-4717.27897230773-0.86945394987783
58170240172206.2019269851319.85161487017-1966.20192698485-0.217273303566137
59176150173924.2139495741409.029864502652225.786050425810.34440073698758
60182056176275.3702261491620.043271994345780.629773851190.814920379732723
61172218177635.2474600991561.77240568825-5417.24746009915-0.225038385294920
62177856179611.3570594471654.57386201560-1755.357059447350.358393331158385
63182253181006.8444770671596.544798435221246.15552293290-0.224104558523441
64188090182391.6901470191549.129341345955698.30985298091-0.183115484251453
65176863183230.7864490231390.09920574695-6367.78644902319-0.614164284780776
66183273184571.5814645301379.05626601723-1298.58146452955-0.0426471319755319
67187969186167.2634160921427.575152093841801.736583908190.187376856929387
68194650188066.8658435531533.297783927486583.13415644720.408294090429373
69183036189618.2410378391537.34668427623-6582.241037838940.0156365960292397
70189516191104.7787606751525.96671238795-1588.77876067512-0.0439487287693232
71193805192458.1107022521487.300721525461346.88929774847-0.149325601301638
72200499193896.0049629661476.234875674736602.9950370343-0.0427355939603103
73188142195042.3332267211402.34381663732-6900.33322672124-0.285362577693019
74193732195824.1522191801263.36134474689-2092.15221918033-0.536741480626576
75197126196328.1662397531093.28600847501797.833760247265-0.656820148375207
76205140197623.4700453211138.533082744867516.529954679060.174741327501807
77191751198528.1375874461086.15288833711-6777.13758744632-0.202288984499335
78196700199026.400332053954.479791319815-2326.40033205313-0.508513139034264
79199784199440.804816082833.516054995908343.195183918381-0.467154268113753
80207360199855.138482433739.6293928081287504.86151756699-0.362584327277488
81196101201334.646858300905.344294063595-5233.646858299720.63998042524287
82200824202628.090447718992.269099173051-1804.090447717600.33569807734033
83205743204464.3958894861181.312716267071278.604110513850.730074444366178
84212489205745.3870064011203.638254225136743.612993599020.086219809853726
85200810206739.7271550241156.76056787782-5929.72715502414-0.181038647796096
86203683206991.917888325954.158920516609-3308.91788832492-0.78243469628147
87207286206893.445084279718.395010082095392.5549157207-0.910505250364885
88210910205709.952628957292.4184642615335200.04737104314-1.64509436913863
89194915202968.420047704-387.112796165675-8053.4200477037-2.62430657544552
90217920209875.6184601441246.635545575068044.381539856126.30943234775982

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 106370 & 106370 & 0 & 0 & 0 \tabularnewline
2 & 109375 & 108922.636126821 & 728.117486074552 & 452.363873178612 & 0.53976180342067 \tabularnewline
3 & 116476 & 112678.716650195 & 1500.84894217363 & 3797.28334980506 & 1.84863387241178 \tabularnewline
4 & 123297 & 117660.813074953 & 2302.65564548320 & 5636.18692504668 & 3.22371511887175 \tabularnewline
5 & 114813 & 120021.844431290 & 2313.72369869994 & -5208.84443128976 & 0.0542558685507608 \tabularnewline
6 & 117925 & 121405.774176828 & 2120.59311952945 & -3480.77417682802 & -0.836149363249779 \tabularnewline
7 & 126466 & 123780.972272063 & 2176.91281018991 & 2685.02772793657 & 0.220212956480617 \tabularnewline
8 & 131235 & 125777.031444316 & 2136.47200744301 & 5457.96855568442 & -0.156203119766590 \tabularnewline
9 & 120546 & 126700.837954744 & 1866.19469106145 & -6154.83795474398 & -1.05231160837369 \tabularnewline
10 & 123791 & 127779.228249217 & 1690.53239716189 & -3988.22824921662 & -0.683042197653349 \tabularnewline
11 & 129813 & 128095.481442770 & 1383.3285582828 & 1717.51855723018 & -1.18980920536799 \tabularnewline
12 & 133463 & 128154.951678300 & 1086.98611139037 & 5308.04832169982 & -1.14527250110319 \tabularnewline
13 & 122987 & 128596.102786079 & 942.376065733486 & -5609.10278607887 & -0.558698997672846 \tabularnewline
14 & 125418 & 128877.507761650 & 794.369139382407 & -3459.50776165024 & -0.571797086477347 \tabularnewline
15 & 130199 & 128609.375783647 & 556.429347814278 & 1589.62421635329 & -0.919108483204108 \tabularnewline
16 & 133016 & 128067.596183975 & 310.473168784701 & 4948.4038160248 & -0.94995527225756 \tabularnewline
17 & 121454 & 127295.030087311 & 67.905321585922 & -5841.03008731097 & -0.936817030554 \tabularnewline
18 & 122044 & 125935.259207793 & -251.854576985965 & -3891.25920779303 & -1.23491973534993 \tabularnewline
19 & 128313 & 125477.442227980 & -297.984707970172 & 2835.55777201953 & -0.178154160893119 \tabularnewline
20 & 131556 & 125372.959262827 & -254.645247601705 & 6183.04073717347 & 0.167375519863296 \tabularnewline
21 & 120027 & 125119.388257161 & -254.404644123481 & -5092.3882571613 & 0.000929198649321629 \tabularnewline
22 & 123001 & 125741.574038062 & -58.0699420297922 & -2740.5740380617 & 0.758233468448591 \tabularnewline
23 & 130111 & 126628.305712260 & 153.542504340716 & 3482.69428774023 & 0.817234630321607 \tabularnewline
24 & 132524 & 126863.120825001 & 171.745585518399 & 5660.8791749995 & 0.070299182584383 \tabularnewline
25 & 123742 & 128166.643478809 & 425.236078248037 & -4424.64347880856 & 0.978964468090956 \tabularnewline
26 & 124931 & 128657.546233033 & 439.943815450632 & -3726.54623303296 & 0.0568003552385746 \tabularnewline
27 & 133646 & 129716.030049186 & 578.481728021924 & 3929.9699508136 & 0.535024660628051 \tabularnewline
28 & 136557 & 130981.492049868 & 732.3486001475 & 5575.50795013153 & 0.594224113316412 \tabularnewline
29 & 127509 & 132029.793728439 & 803.114405912926 & -4520.79372843921 & 0.273293054024037 \tabularnewline
30 & 128945 & 133045.084457054 & 850.636742530929 & -4100.0844570537 & 0.183528248297534 \tabularnewline
31 & 137191 & 133856.146766401 & 841.773031828317 & 3334.85323359930 & -0.0342310880615040 \tabularnewline
32 & 139716 & 134538.370247873 & 806.037812242802 & 5177.62975212698 & -0.138007149170096 \tabularnewline
33 & 129083 & 134579.516085602 & 634.720609314018 & -5496.51608560233 & -0.661616159639324 \tabularnewline
34 & 131604 & 135250.151089242 & 642.764560341107 & -3646.15108924178 & 0.0310652280783169 \tabularnewline
35 & 139413 & 135871.754021700 & 638.024870264525 & 3541.24597829978 & -0.0183043820992696 \tabularnewline
36 & 143125 & 136962.93580267 & 739.520999250287 & 6162.06419732995 & 0.391971604920762 \tabularnewline
37 & 133948 & 138585.198768345 & 937.233734896174 & -4637.19876834519 & 0.763554029794596 \tabularnewline
38 & 137116 & 140299.452987577 & 1111.26742929422 & -3183.45298757669 & 0.67210707613579 \tabularnewline
39 & 144864 & 141728.812737371 & 1182.51237432908 & 3135.18726262934 & 0.275143453461322 \tabularnewline
40 & 149277 & 143362.066795823 & 1283.46755130475 & 5914.93320417695 & 0.38988248252316 \tabularnewline
41 & 138796 & 144419.044267070 & 1232.739280721 & -5623.04426707025 & -0.195909359595220 \tabularnewline
42 & 143258 & 146080.734896432 & 1328.81395240476 & -2822.73489643150 & 0.371034281007554 \tabularnewline
43 & 150034 & 147360.701589190 & 1317.87335401739 & 2673.29841081021 & -0.0422518962105180 \tabularnewline
44 & 154708 & 148703.629540651 & 1323.48497461555 & 6004.3704593485 & 0.0216717223949620 \tabularnewline
45 & 144888 & 150351.849935064 & 1396.2178123606 & -5463.84993506396 & 0.280889600612782 \tabularnewline
46 & 148762 & 151732.454626943 & 1392.72085302249 & -2970.45462694307 & -0.0135050348961255 \tabularnewline
47 & 156500 & 153473.462277217 & 1470.72862664035 & 3026.53772278332 & 0.301261067978768 \tabularnewline
48 & 161088 & 155158.680360436 & 1518.76904937325 & 5929.31963956397 & 0.185529061879942 \tabularnewline
49 & 152772 & 157450.074448638 & 1691.81827086577 & -4678.07444863779 & 0.668305104246513 \tabularnewline
50 & 158011 & 160234.864466687 & 1936.61736545650 & -2223.86446668660 & 0.94539855781426 \tabularnewline
51 & 163318 & 161681.337709857 & 1826.83700044343 & 1636.66229014347 & -0.423964798289767 \tabularnewline
52 & 169969 & 163940.280021584 & 1923.61808306773 & 6028.71997841613 & 0.373762395198737 \tabularnewline
53 & 162269 & 166666.236813641 & 2103.32244415666 & -4397.2368136413 & 0.694006830745987 \tabularnewline
54 & 165765 & 168504.428892983 & 2043.93968936677 & -2739.42889298285 & -0.229332428011046 \tabularnewline
55 & 170600 & 169965.371509808 & 1913.36252131543 & 634.628490192199 & -0.504280730962624 \tabularnewline
56 & 174681 & 170485.205439525 & 1601.24600193717 & 4195.794560475 & -1.20537417748022 \tabularnewline
57 & 166364 & 171081.278972308 & 1376.11181069139 & -4717.27897230773 & -0.86945394987783 \tabularnewline
58 & 170240 & 172206.201926985 & 1319.85161487017 & -1966.20192698485 & -0.217273303566137 \tabularnewline
59 & 176150 & 173924.213949574 & 1409.02986450265 & 2225.78605042581 & 0.34440073698758 \tabularnewline
60 & 182056 & 176275.370226149 & 1620.04327199434 & 5780.62977385119 & 0.814920379732723 \tabularnewline
61 & 172218 & 177635.247460099 & 1561.77240568825 & -5417.24746009915 & -0.225038385294920 \tabularnewline
62 & 177856 & 179611.357059447 & 1654.57386201560 & -1755.35705944735 & 0.358393331158385 \tabularnewline
63 & 182253 & 181006.844477067 & 1596.54479843522 & 1246.15552293290 & -0.224104558523441 \tabularnewline
64 & 188090 & 182391.690147019 & 1549.12934134595 & 5698.30985298091 & -0.183115484251453 \tabularnewline
65 & 176863 & 183230.786449023 & 1390.09920574695 & -6367.78644902319 & -0.614164284780776 \tabularnewline
66 & 183273 & 184571.581464530 & 1379.05626601723 & -1298.58146452955 & -0.0426471319755319 \tabularnewline
67 & 187969 & 186167.263416092 & 1427.57515209384 & 1801.73658390819 & 0.187376856929387 \tabularnewline
68 & 194650 & 188066.865843553 & 1533.29778392748 & 6583.1341564472 & 0.408294090429373 \tabularnewline
69 & 183036 & 189618.241037839 & 1537.34668427623 & -6582.24103783894 & 0.0156365960292397 \tabularnewline
70 & 189516 & 191104.778760675 & 1525.96671238795 & -1588.77876067512 & -0.0439487287693232 \tabularnewline
71 & 193805 & 192458.110702252 & 1487.30072152546 & 1346.88929774847 & -0.149325601301638 \tabularnewline
72 & 200499 & 193896.004962966 & 1476.23487567473 & 6602.9950370343 & -0.0427355939603103 \tabularnewline
73 & 188142 & 195042.333226721 & 1402.34381663732 & -6900.33322672124 & -0.285362577693019 \tabularnewline
74 & 193732 & 195824.152219180 & 1263.36134474689 & -2092.15221918033 & -0.536741480626576 \tabularnewline
75 & 197126 & 196328.166239753 & 1093.28600847501 & 797.833760247265 & -0.656820148375207 \tabularnewline
76 & 205140 & 197623.470045321 & 1138.53308274486 & 7516.52995467906 & 0.174741327501807 \tabularnewline
77 & 191751 & 198528.137587446 & 1086.15288833711 & -6777.13758744632 & -0.202288984499335 \tabularnewline
78 & 196700 & 199026.400332053 & 954.479791319815 & -2326.40033205313 & -0.508513139034264 \tabularnewline
79 & 199784 & 199440.804816082 & 833.516054995908 & 343.195183918381 & -0.467154268113753 \tabularnewline
80 & 207360 & 199855.138482433 & 739.629392808128 & 7504.86151756699 & -0.362584327277488 \tabularnewline
81 & 196101 & 201334.646858300 & 905.344294063595 & -5233.64685829972 & 0.63998042524287 \tabularnewline
82 & 200824 & 202628.090447718 & 992.269099173051 & -1804.09044771760 & 0.33569807734033 \tabularnewline
83 & 205743 & 204464.395889486 & 1181.31271626707 & 1278.60411051385 & 0.730074444366178 \tabularnewline
84 & 212489 & 205745.387006401 & 1203.63825422513 & 6743.61299359902 & 0.086219809853726 \tabularnewline
85 & 200810 & 206739.727155024 & 1156.76056787782 & -5929.72715502414 & -0.181038647796096 \tabularnewline
86 & 203683 & 206991.917888325 & 954.158920516609 & -3308.91788832492 & -0.78243469628147 \tabularnewline
87 & 207286 & 206893.445084279 & 718.395010082095 & 392.5549157207 & -0.910505250364885 \tabularnewline
88 & 210910 & 205709.952628957 & 292.418464261533 & 5200.04737104314 & -1.64509436913863 \tabularnewline
89 & 194915 & 202968.420047704 & -387.112796165675 & -8053.4200477037 & -2.62430657544552 \tabularnewline
90 & 217920 & 209875.618460144 & 1246.63554557506 & 8044.38153985612 & 6.30943234775982 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63680&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]106370[/C][C]106370[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]109375[/C][C]108922.636126821[/C][C]728.117486074552[/C][C]452.363873178612[/C][C]0.53976180342067[/C][/ROW]
[ROW][C]3[/C][C]116476[/C][C]112678.716650195[/C][C]1500.84894217363[/C][C]3797.28334980506[/C][C]1.84863387241178[/C][/ROW]
[ROW][C]4[/C][C]123297[/C][C]117660.813074953[/C][C]2302.65564548320[/C][C]5636.18692504668[/C][C]3.22371511887175[/C][/ROW]
[ROW][C]5[/C][C]114813[/C][C]120021.844431290[/C][C]2313.72369869994[/C][C]-5208.84443128976[/C][C]0.0542558685507608[/C][/ROW]
[ROW][C]6[/C][C]117925[/C][C]121405.774176828[/C][C]2120.59311952945[/C][C]-3480.77417682802[/C][C]-0.836149363249779[/C][/ROW]
[ROW][C]7[/C][C]126466[/C][C]123780.972272063[/C][C]2176.91281018991[/C][C]2685.02772793657[/C][C]0.220212956480617[/C][/ROW]
[ROW][C]8[/C][C]131235[/C][C]125777.031444316[/C][C]2136.47200744301[/C][C]5457.96855568442[/C][C]-0.156203119766590[/C][/ROW]
[ROW][C]9[/C][C]120546[/C][C]126700.837954744[/C][C]1866.19469106145[/C][C]-6154.83795474398[/C][C]-1.05231160837369[/C][/ROW]
[ROW][C]10[/C][C]123791[/C][C]127779.228249217[/C][C]1690.53239716189[/C][C]-3988.22824921662[/C][C]-0.683042197653349[/C][/ROW]
[ROW][C]11[/C][C]129813[/C][C]128095.481442770[/C][C]1383.3285582828[/C][C]1717.51855723018[/C][C]-1.18980920536799[/C][/ROW]
[ROW][C]12[/C][C]133463[/C][C]128154.951678300[/C][C]1086.98611139037[/C][C]5308.04832169982[/C][C]-1.14527250110319[/C][/ROW]
[ROW][C]13[/C][C]122987[/C][C]128596.102786079[/C][C]942.376065733486[/C][C]-5609.10278607887[/C][C]-0.558698997672846[/C][/ROW]
[ROW][C]14[/C][C]125418[/C][C]128877.507761650[/C][C]794.369139382407[/C][C]-3459.50776165024[/C][C]-0.571797086477347[/C][/ROW]
[ROW][C]15[/C][C]130199[/C][C]128609.375783647[/C][C]556.429347814278[/C][C]1589.62421635329[/C][C]-0.919108483204108[/C][/ROW]
[ROW][C]16[/C][C]133016[/C][C]128067.596183975[/C][C]310.473168784701[/C][C]4948.4038160248[/C][C]-0.94995527225756[/C][/ROW]
[ROW][C]17[/C][C]121454[/C][C]127295.030087311[/C][C]67.905321585922[/C][C]-5841.03008731097[/C][C]-0.936817030554[/C][/ROW]
[ROW][C]18[/C][C]122044[/C][C]125935.259207793[/C][C]-251.854576985965[/C][C]-3891.25920779303[/C][C]-1.23491973534993[/C][/ROW]
[ROW][C]19[/C][C]128313[/C][C]125477.442227980[/C][C]-297.984707970172[/C][C]2835.55777201953[/C][C]-0.178154160893119[/C][/ROW]
[ROW][C]20[/C][C]131556[/C][C]125372.959262827[/C][C]-254.645247601705[/C][C]6183.04073717347[/C][C]0.167375519863296[/C][/ROW]
[ROW][C]21[/C][C]120027[/C][C]125119.388257161[/C][C]-254.404644123481[/C][C]-5092.3882571613[/C][C]0.000929198649321629[/C][/ROW]
[ROW][C]22[/C][C]123001[/C][C]125741.574038062[/C][C]-58.0699420297922[/C][C]-2740.5740380617[/C][C]0.758233468448591[/C][/ROW]
[ROW][C]23[/C][C]130111[/C][C]126628.305712260[/C][C]153.542504340716[/C][C]3482.69428774023[/C][C]0.817234630321607[/C][/ROW]
[ROW][C]24[/C][C]132524[/C][C]126863.120825001[/C][C]171.745585518399[/C][C]5660.8791749995[/C][C]0.070299182584383[/C][/ROW]
[ROW][C]25[/C][C]123742[/C][C]128166.643478809[/C][C]425.236078248037[/C][C]-4424.64347880856[/C][C]0.978964468090956[/C][/ROW]
[ROW][C]26[/C][C]124931[/C][C]128657.546233033[/C][C]439.943815450632[/C][C]-3726.54623303296[/C][C]0.0568003552385746[/C][/ROW]
[ROW][C]27[/C][C]133646[/C][C]129716.030049186[/C][C]578.481728021924[/C][C]3929.9699508136[/C][C]0.535024660628051[/C][/ROW]
[ROW][C]28[/C][C]136557[/C][C]130981.492049868[/C][C]732.3486001475[/C][C]5575.50795013153[/C][C]0.594224113316412[/C][/ROW]
[ROW][C]29[/C][C]127509[/C][C]132029.793728439[/C][C]803.114405912926[/C][C]-4520.79372843921[/C][C]0.273293054024037[/C][/ROW]
[ROW][C]30[/C][C]128945[/C][C]133045.084457054[/C][C]850.636742530929[/C][C]-4100.0844570537[/C][C]0.183528248297534[/C][/ROW]
[ROW][C]31[/C][C]137191[/C][C]133856.146766401[/C][C]841.773031828317[/C][C]3334.85323359930[/C][C]-0.0342310880615040[/C][/ROW]
[ROW][C]32[/C][C]139716[/C][C]134538.370247873[/C][C]806.037812242802[/C][C]5177.62975212698[/C][C]-0.138007149170096[/C][/ROW]
[ROW][C]33[/C][C]129083[/C][C]134579.516085602[/C][C]634.720609314018[/C][C]-5496.51608560233[/C][C]-0.661616159639324[/C][/ROW]
[ROW][C]34[/C][C]131604[/C][C]135250.151089242[/C][C]642.764560341107[/C][C]-3646.15108924178[/C][C]0.0310652280783169[/C][/ROW]
[ROW][C]35[/C][C]139413[/C][C]135871.754021700[/C][C]638.024870264525[/C][C]3541.24597829978[/C][C]-0.0183043820992696[/C][/ROW]
[ROW][C]36[/C][C]143125[/C][C]136962.93580267[/C][C]739.520999250287[/C][C]6162.06419732995[/C][C]0.391971604920762[/C][/ROW]
[ROW][C]37[/C][C]133948[/C][C]138585.198768345[/C][C]937.233734896174[/C][C]-4637.19876834519[/C][C]0.763554029794596[/C][/ROW]
[ROW][C]38[/C][C]137116[/C][C]140299.452987577[/C][C]1111.26742929422[/C][C]-3183.45298757669[/C][C]0.67210707613579[/C][/ROW]
[ROW][C]39[/C][C]144864[/C][C]141728.812737371[/C][C]1182.51237432908[/C][C]3135.18726262934[/C][C]0.275143453461322[/C][/ROW]
[ROW][C]40[/C][C]149277[/C][C]143362.066795823[/C][C]1283.46755130475[/C][C]5914.93320417695[/C][C]0.38988248252316[/C][/ROW]
[ROW][C]41[/C][C]138796[/C][C]144419.044267070[/C][C]1232.739280721[/C][C]-5623.04426707025[/C][C]-0.195909359595220[/C][/ROW]
[ROW][C]42[/C][C]143258[/C][C]146080.734896432[/C][C]1328.81395240476[/C][C]-2822.73489643150[/C][C]0.371034281007554[/C][/ROW]
[ROW][C]43[/C][C]150034[/C][C]147360.701589190[/C][C]1317.87335401739[/C][C]2673.29841081021[/C][C]-0.0422518962105180[/C][/ROW]
[ROW][C]44[/C][C]154708[/C][C]148703.629540651[/C][C]1323.48497461555[/C][C]6004.3704593485[/C][C]0.0216717223949620[/C][/ROW]
[ROW][C]45[/C][C]144888[/C][C]150351.849935064[/C][C]1396.2178123606[/C][C]-5463.84993506396[/C][C]0.280889600612782[/C][/ROW]
[ROW][C]46[/C][C]148762[/C][C]151732.454626943[/C][C]1392.72085302249[/C][C]-2970.45462694307[/C][C]-0.0135050348961255[/C][/ROW]
[ROW][C]47[/C][C]156500[/C][C]153473.462277217[/C][C]1470.72862664035[/C][C]3026.53772278332[/C][C]0.301261067978768[/C][/ROW]
[ROW][C]48[/C][C]161088[/C][C]155158.680360436[/C][C]1518.76904937325[/C][C]5929.31963956397[/C][C]0.185529061879942[/C][/ROW]
[ROW][C]49[/C][C]152772[/C][C]157450.074448638[/C][C]1691.81827086577[/C][C]-4678.07444863779[/C][C]0.668305104246513[/C][/ROW]
[ROW][C]50[/C][C]158011[/C][C]160234.864466687[/C][C]1936.61736545650[/C][C]-2223.86446668660[/C][C]0.94539855781426[/C][/ROW]
[ROW][C]51[/C][C]163318[/C][C]161681.337709857[/C][C]1826.83700044343[/C][C]1636.66229014347[/C][C]-0.423964798289767[/C][/ROW]
[ROW][C]52[/C][C]169969[/C][C]163940.280021584[/C][C]1923.61808306773[/C][C]6028.71997841613[/C][C]0.373762395198737[/C][/ROW]
[ROW][C]53[/C][C]162269[/C][C]166666.236813641[/C][C]2103.32244415666[/C][C]-4397.2368136413[/C][C]0.694006830745987[/C][/ROW]
[ROW][C]54[/C][C]165765[/C][C]168504.428892983[/C][C]2043.93968936677[/C][C]-2739.42889298285[/C][C]-0.229332428011046[/C][/ROW]
[ROW][C]55[/C][C]170600[/C][C]169965.371509808[/C][C]1913.36252131543[/C][C]634.628490192199[/C][C]-0.504280730962624[/C][/ROW]
[ROW][C]56[/C][C]174681[/C][C]170485.205439525[/C][C]1601.24600193717[/C][C]4195.794560475[/C][C]-1.20537417748022[/C][/ROW]
[ROW][C]57[/C][C]166364[/C][C]171081.278972308[/C][C]1376.11181069139[/C][C]-4717.27897230773[/C][C]-0.86945394987783[/C][/ROW]
[ROW][C]58[/C][C]170240[/C][C]172206.201926985[/C][C]1319.85161487017[/C][C]-1966.20192698485[/C][C]-0.217273303566137[/C][/ROW]
[ROW][C]59[/C][C]176150[/C][C]173924.213949574[/C][C]1409.02986450265[/C][C]2225.78605042581[/C][C]0.34440073698758[/C][/ROW]
[ROW][C]60[/C][C]182056[/C][C]176275.370226149[/C][C]1620.04327199434[/C][C]5780.62977385119[/C][C]0.814920379732723[/C][/ROW]
[ROW][C]61[/C][C]172218[/C][C]177635.247460099[/C][C]1561.77240568825[/C][C]-5417.24746009915[/C][C]-0.225038385294920[/C][/ROW]
[ROW][C]62[/C][C]177856[/C][C]179611.357059447[/C][C]1654.57386201560[/C][C]-1755.35705944735[/C][C]0.358393331158385[/C][/ROW]
[ROW][C]63[/C][C]182253[/C][C]181006.844477067[/C][C]1596.54479843522[/C][C]1246.15552293290[/C][C]-0.224104558523441[/C][/ROW]
[ROW][C]64[/C][C]188090[/C][C]182391.690147019[/C][C]1549.12934134595[/C][C]5698.30985298091[/C][C]-0.183115484251453[/C][/ROW]
[ROW][C]65[/C][C]176863[/C][C]183230.786449023[/C][C]1390.09920574695[/C][C]-6367.78644902319[/C][C]-0.614164284780776[/C][/ROW]
[ROW][C]66[/C][C]183273[/C][C]184571.581464530[/C][C]1379.05626601723[/C][C]-1298.58146452955[/C][C]-0.0426471319755319[/C][/ROW]
[ROW][C]67[/C][C]187969[/C][C]186167.263416092[/C][C]1427.57515209384[/C][C]1801.73658390819[/C][C]0.187376856929387[/C][/ROW]
[ROW][C]68[/C][C]194650[/C][C]188066.865843553[/C][C]1533.29778392748[/C][C]6583.1341564472[/C][C]0.408294090429373[/C][/ROW]
[ROW][C]69[/C][C]183036[/C][C]189618.241037839[/C][C]1537.34668427623[/C][C]-6582.24103783894[/C][C]0.0156365960292397[/C][/ROW]
[ROW][C]70[/C][C]189516[/C][C]191104.778760675[/C][C]1525.96671238795[/C][C]-1588.77876067512[/C][C]-0.0439487287693232[/C][/ROW]
[ROW][C]71[/C][C]193805[/C][C]192458.110702252[/C][C]1487.30072152546[/C][C]1346.88929774847[/C][C]-0.149325601301638[/C][/ROW]
[ROW][C]72[/C][C]200499[/C][C]193896.004962966[/C][C]1476.23487567473[/C][C]6602.9950370343[/C][C]-0.0427355939603103[/C][/ROW]
[ROW][C]73[/C][C]188142[/C][C]195042.333226721[/C][C]1402.34381663732[/C][C]-6900.33322672124[/C][C]-0.285362577693019[/C][/ROW]
[ROW][C]74[/C][C]193732[/C][C]195824.152219180[/C][C]1263.36134474689[/C][C]-2092.15221918033[/C][C]-0.536741480626576[/C][/ROW]
[ROW][C]75[/C][C]197126[/C][C]196328.166239753[/C][C]1093.28600847501[/C][C]797.833760247265[/C][C]-0.656820148375207[/C][/ROW]
[ROW][C]76[/C][C]205140[/C][C]197623.470045321[/C][C]1138.53308274486[/C][C]7516.52995467906[/C][C]0.174741327501807[/C][/ROW]
[ROW][C]77[/C][C]191751[/C][C]198528.137587446[/C][C]1086.15288833711[/C][C]-6777.13758744632[/C][C]-0.202288984499335[/C][/ROW]
[ROW][C]78[/C][C]196700[/C][C]199026.400332053[/C][C]954.479791319815[/C][C]-2326.40033205313[/C][C]-0.508513139034264[/C][/ROW]
[ROW][C]79[/C][C]199784[/C][C]199440.804816082[/C][C]833.516054995908[/C][C]343.195183918381[/C][C]-0.467154268113753[/C][/ROW]
[ROW][C]80[/C][C]207360[/C][C]199855.138482433[/C][C]739.629392808128[/C][C]7504.86151756699[/C][C]-0.362584327277488[/C][/ROW]
[ROW][C]81[/C][C]196101[/C][C]201334.646858300[/C][C]905.344294063595[/C][C]-5233.64685829972[/C][C]0.63998042524287[/C][/ROW]
[ROW][C]82[/C][C]200824[/C][C]202628.090447718[/C][C]992.269099173051[/C][C]-1804.09044771760[/C][C]0.33569807734033[/C][/ROW]
[ROW][C]83[/C][C]205743[/C][C]204464.395889486[/C][C]1181.31271626707[/C][C]1278.60411051385[/C][C]0.730074444366178[/C][/ROW]
[ROW][C]84[/C][C]212489[/C][C]205745.387006401[/C][C]1203.63825422513[/C][C]6743.61299359902[/C][C]0.086219809853726[/C][/ROW]
[ROW][C]85[/C][C]200810[/C][C]206739.727155024[/C][C]1156.76056787782[/C][C]-5929.72715502414[/C][C]-0.181038647796096[/C][/ROW]
[ROW][C]86[/C][C]203683[/C][C]206991.917888325[/C][C]954.158920516609[/C][C]-3308.91788832492[/C][C]-0.78243469628147[/C][/ROW]
[ROW][C]87[/C][C]207286[/C][C]206893.445084279[/C][C]718.395010082095[/C][C]392.5549157207[/C][C]-0.910505250364885[/C][/ROW]
[ROW][C]88[/C][C]210910[/C][C]205709.952628957[/C][C]292.418464261533[/C][C]5200.04737104314[/C][C]-1.64509436913863[/C][/ROW]
[ROW][C]89[/C][C]194915[/C][C]202968.420047704[/C][C]-387.112796165675[/C][C]-8053.4200477037[/C][C]-2.62430657544552[/C][/ROW]
[ROW][C]90[/C][C]217920[/C][C]209875.618460144[/C][C]1246.63554557506[/C][C]8044.38153985612[/C][C]6.30943234775982[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63680&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63680&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
1106370106370000
2109375108922.636126821728.117486074552452.3638731786120.53976180342067
3116476112678.7166501951500.848942173633797.283349805061.84863387241178
4123297117660.8130749532302.655645483205636.186925046683.22371511887175
5114813120021.8444312902313.72369869994-5208.844431289760.0542558685507608
6117925121405.7741768282120.59311952945-3480.77417682802-0.836149363249779
7126466123780.9722720632176.912810189912685.027727936570.220212956480617
8131235125777.0314443162136.472007443015457.96855568442-0.156203119766590
9120546126700.8379547441866.19469106145-6154.83795474398-1.05231160837369
10123791127779.2282492171690.53239716189-3988.22824921662-0.683042197653349
11129813128095.4814427701383.32855828281717.51855723018-1.18980920536799
12133463128154.9516783001086.986111390375308.04832169982-1.14527250110319
13122987128596.102786079942.376065733486-5609.10278607887-0.558698997672846
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Parameters (Session):
par1 = 4 ;
Parameters (R input):
par1 = 4 ;
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')