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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 computationFri, 04 Dec 2009 05:25:23 -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/t1259929590cw0vn6y5smu2dx7.htm/, Retrieved Sat, 27 Apr 2024 21:33:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63399, Retrieved Sat, 27 Apr 2024 21:33:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact95
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]
-   PD      [Structural Time Series Models] [Structural time s...] [2009-12-04 12:25:23] [4996e0131d5120d29a6e9a8dccb25dc3] [Current]
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Dataseries X:
19
18
19
19
22
23
20
14
14
14
15
11
17
16
20
24
23
20
21
19
23
23
23
23
27
26
17
24
26
24
27
27
26
24
23
23
24
17
21
19
22
22
18
16
14
12
14
16
8
3
0
5
1
1
3
6
7
8
14
14
13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63399&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63399&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
11919000
21818.1108869988334-0.051231097300266-0.0512310975556439-0.200626530440003
31918.9004944082692-0.0398278045332988-0.03982780453329930.305317779906727
41919.0130083739769-0.0387673174784865-0.03876731747848650.0558017298893943
52221.5816274608516-0.0231613156477001-0.02316131564770020.955488215616181
62322.8048158117019-0.0159126167790224-0.01591261677902260.456747429571069
72020.4291933373491-0.0295117081831036-0.0295117081831038-0.864754732546442
81414.9787506804773-0.0605586504685541-0.0605586504685542-1.98657023864225
91414.1883374202623-0.0647146027942089-0.0647146027942088-0.267461831052249
101414.0734899979576-0.0649984508668466-0.0649984508668466-0.0183714315332262
111514.9076372112654-0.0599362284161829-0.0599362284161830.329493139930105
121111.6240202077550-0.0779840534106643-0.0779840534106638-1.18130993359118
131714.1818883581347-0.2152068074230692.367274884087871.18240948626271
141615.9234675080638-0.163118067413767-0.1631180685486670.6029756395653
152019.5104961529234-0.139743618970718-0.1397436189707191.36721031481802
162423.4378945844903-0.126594440155188-0.1265944401551881.48864076745306
172323.1537340304521-0.127034667374350-0.127034667374350-0.0576835873659201
182020.5529785008708-0.133773463631006-0.133773463631006-0.905625815193748
192121.0288148620954-0.132122767105274-0.1321227671052730.223177467762196
201919.3912991965062-0.136186099490365-0.136186099490366-0.551121555475307
212322.5661621676204-0.127273647106577-0.1272736471065771.21216611578203
222323.0261721454294-0.125697097346314-0.1256970973463140.215002437889736
232323.0926204103863-0.125182669142621-0.1251826691426210.0703435644992861
242323.1020166422713-0.124823324997941-0.1248233249979400.0492686224335875
252724.813743856618-0.1703247748374371.873572527219300.747681575636689
262625.9640351458097-0.147401698739636-0.1474017020178210.434638135554451
271718.4225733035037-0.177377590719308-0.177377590719307-2.69880043671563
282423.3088895353951-0.166710614046131-0.1667106140461291.85296511339913
292625.7243704807678-0.162004721025879-0.1620047210258790.945031693393256
302424.3667736706542-0.164131260759238-0.164131260759239-0.437569293181091
312726.7311014851556-0.159656812215594-0.1596568122155930.925380102187874
322727.0736498418047-0.158770088205344-0.1587700882053450.183799821206169
332626.2693249146466-0.159907830926560-0.159907830926559-0.23626349252131
342424.4449516761456-0.162836137744504-0.162836137744503-0.609169023074157
352323.326487029547-0.164514427257566-0.164514427257565-0.349745143263629
362323.1641427901844-0.164510622622709-0.1645106226227070.000794254146383672
372422.3996663722857-0.1547576754968721.70233443029569-0.235995945432381
381717.8555214912224-0.211281772688481-0.211281774705440-1.48747864115771
392120.6885603225443-0.202136810370800-0.2021368103707981.11177867158714
401919.3896836800057-0.203850179065471-0.203850179065470-0.401286596692104
412221.7634623739253-0.200364583841613-0.2003645838416140.943223462991855
422222.1073863965383-0.199645920035348-0.1996459200353480.199171826098259
431818.7406488578405-0.203808368649554-0.203808368649553-1.15893662772088
441616.5441890055514-0.206422580280858-0.206422580280858-0.729172455501753
451414.5173749489054-0.208807504442529-0.208807504442529-0.666136864396173
461212.5151493740287-0.211153992432317-0.211153992432317-0.656266102712891
471413.9329137669097-0.209025521960652-0.2090255219606520.596070339424432
481615.8464655201049-0.206255618643653-0.2062556186436510.776714571134126
4988.03514433471271-0.1142628517014171.25689137184811-2.93909960858519
5033.78323541200469-0.156613578762039-0.156613583824149-1.42555589150619
5100.663991842963106-0.163682187017350-0.163682187017348-1.08229674760542
5254.48370083080553-0.158736990329350-0.1587369903293481.45738813912598
5311.62013270355226-0.161644462252316-0.161644462252317-0.98968450708988
5411.20489755816989-0.161910699284411-0.161910699284411-0.0927883578614771
5532.85316816971688-0.160018502727007-0.1600185027270070.662342510925763
5665.65487429964198-0.156927305944377-0.1569273059443781.08369020628696
5776.91520497503423-0.155449737473623-0.1554497374736230.518572207386821
5887.95209064425682-0.154207970164030-0.154207970164030.436273277376316
591413.2280670938837-0.148558552781648-0.1485585527816481.98689353198937
601413.9927947018899-0.147609382190291-0.1476093821902920.334169445813131
611311.9099693457891-0.1289700200934681.41867022554141-0.739898804466961

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 19 & 19 & 0 & 0 & 0 \tabularnewline
2 & 18 & 18.1108869988334 & -0.051231097300266 & -0.0512310975556439 & -0.200626530440003 \tabularnewline
3 & 19 & 18.9004944082692 & -0.0398278045332988 & -0.0398278045332993 & 0.305317779906727 \tabularnewline
4 & 19 & 19.0130083739769 & -0.0387673174784865 & -0.0387673174784865 & 0.0558017298893943 \tabularnewline
5 & 22 & 21.5816274608516 & -0.0231613156477001 & -0.0231613156477002 & 0.955488215616181 \tabularnewline
6 & 23 & 22.8048158117019 & -0.0159126167790224 & -0.0159126167790226 & 0.456747429571069 \tabularnewline
7 & 20 & 20.4291933373491 & -0.0295117081831036 & -0.0295117081831038 & -0.864754732546442 \tabularnewline
8 & 14 & 14.9787506804773 & -0.0605586504685541 & -0.0605586504685542 & -1.98657023864225 \tabularnewline
9 & 14 & 14.1883374202623 & -0.0647146027942089 & -0.0647146027942088 & -0.267461831052249 \tabularnewline
10 & 14 & 14.0734899979576 & -0.0649984508668466 & -0.0649984508668466 & -0.0183714315332262 \tabularnewline
11 & 15 & 14.9076372112654 & -0.0599362284161829 & -0.059936228416183 & 0.329493139930105 \tabularnewline
12 & 11 & 11.6240202077550 & -0.0779840534106643 & -0.0779840534106638 & -1.18130993359118 \tabularnewline
13 & 17 & 14.1818883581347 & -0.215206807423069 & 2.36727488408787 & 1.18240948626271 \tabularnewline
14 & 16 & 15.9234675080638 & -0.163118067413767 & -0.163118068548667 & 0.6029756395653 \tabularnewline
15 & 20 & 19.5104961529234 & -0.139743618970718 & -0.139743618970719 & 1.36721031481802 \tabularnewline
16 & 24 & 23.4378945844903 & -0.126594440155188 & -0.126594440155188 & 1.48864076745306 \tabularnewline
17 & 23 & 23.1537340304521 & -0.127034667374350 & -0.127034667374350 & -0.0576835873659201 \tabularnewline
18 & 20 & 20.5529785008708 & -0.133773463631006 & -0.133773463631006 & -0.905625815193748 \tabularnewline
19 & 21 & 21.0288148620954 & -0.132122767105274 & -0.132122767105273 & 0.223177467762196 \tabularnewline
20 & 19 & 19.3912991965062 & -0.136186099490365 & -0.136186099490366 & -0.551121555475307 \tabularnewline
21 & 23 & 22.5661621676204 & -0.127273647106577 & -0.127273647106577 & 1.21216611578203 \tabularnewline
22 & 23 & 23.0261721454294 & -0.125697097346314 & -0.125697097346314 & 0.215002437889736 \tabularnewline
23 & 23 & 23.0926204103863 & -0.125182669142621 & -0.125182669142621 & 0.0703435644992861 \tabularnewline
24 & 23 & 23.1020166422713 & -0.124823324997941 & -0.124823324997940 & 0.0492686224335875 \tabularnewline
25 & 27 & 24.813743856618 & -0.170324774837437 & 1.87357252721930 & 0.747681575636689 \tabularnewline
26 & 26 & 25.9640351458097 & -0.147401698739636 & -0.147401702017821 & 0.434638135554451 \tabularnewline
27 & 17 & 18.4225733035037 & -0.177377590719308 & -0.177377590719307 & -2.69880043671563 \tabularnewline
28 & 24 & 23.3088895353951 & -0.166710614046131 & -0.166710614046129 & 1.85296511339913 \tabularnewline
29 & 26 & 25.7243704807678 & -0.162004721025879 & -0.162004721025879 & 0.945031693393256 \tabularnewline
30 & 24 & 24.3667736706542 & -0.164131260759238 & -0.164131260759239 & -0.437569293181091 \tabularnewline
31 & 27 & 26.7311014851556 & -0.159656812215594 & -0.159656812215593 & 0.925380102187874 \tabularnewline
32 & 27 & 27.0736498418047 & -0.158770088205344 & -0.158770088205345 & 0.183799821206169 \tabularnewline
33 & 26 & 26.2693249146466 & -0.159907830926560 & -0.159907830926559 & -0.23626349252131 \tabularnewline
34 & 24 & 24.4449516761456 & -0.162836137744504 & -0.162836137744503 & -0.609169023074157 \tabularnewline
35 & 23 & 23.326487029547 & -0.164514427257566 & -0.164514427257565 & -0.349745143263629 \tabularnewline
36 & 23 & 23.1641427901844 & -0.164510622622709 & -0.164510622622707 & 0.000794254146383672 \tabularnewline
37 & 24 & 22.3996663722857 & -0.154757675496872 & 1.70233443029569 & -0.235995945432381 \tabularnewline
38 & 17 & 17.8555214912224 & -0.211281772688481 & -0.211281774705440 & -1.48747864115771 \tabularnewline
39 & 21 & 20.6885603225443 & -0.202136810370800 & -0.202136810370798 & 1.11177867158714 \tabularnewline
40 & 19 & 19.3896836800057 & -0.203850179065471 & -0.203850179065470 & -0.401286596692104 \tabularnewline
41 & 22 & 21.7634623739253 & -0.200364583841613 & -0.200364583841614 & 0.943223462991855 \tabularnewline
42 & 22 & 22.1073863965383 & -0.199645920035348 & -0.199645920035348 & 0.199171826098259 \tabularnewline
43 & 18 & 18.7406488578405 & -0.203808368649554 & -0.203808368649553 & -1.15893662772088 \tabularnewline
44 & 16 & 16.5441890055514 & -0.206422580280858 & -0.206422580280858 & -0.729172455501753 \tabularnewline
45 & 14 & 14.5173749489054 & -0.208807504442529 & -0.208807504442529 & -0.666136864396173 \tabularnewline
46 & 12 & 12.5151493740287 & -0.211153992432317 & -0.211153992432317 & -0.656266102712891 \tabularnewline
47 & 14 & 13.9329137669097 & -0.209025521960652 & -0.209025521960652 & 0.596070339424432 \tabularnewline
48 & 16 & 15.8464655201049 & -0.206255618643653 & -0.206255618643651 & 0.776714571134126 \tabularnewline
49 & 8 & 8.03514433471271 & -0.114262851701417 & 1.25689137184811 & -2.93909960858519 \tabularnewline
50 & 3 & 3.78323541200469 & -0.156613578762039 & -0.156613583824149 & -1.42555589150619 \tabularnewline
51 & 0 & 0.663991842963106 & -0.163682187017350 & -0.163682187017348 & -1.08229674760542 \tabularnewline
52 & 5 & 4.48370083080553 & -0.158736990329350 & -0.158736990329348 & 1.45738813912598 \tabularnewline
53 & 1 & 1.62013270355226 & -0.161644462252316 & -0.161644462252317 & -0.98968450708988 \tabularnewline
54 & 1 & 1.20489755816989 & -0.161910699284411 & -0.161910699284411 & -0.0927883578614771 \tabularnewline
55 & 3 & 2.85316816971688 & -0.160018502727007 & -0.160018502727007 & 0.662342510925763 \tabularnewline
56 & 6 & 5.65487429964198 & -0.156927305944377 & -0.156927305944378 & 1.08369020628696 \tabularnewline
57 & 7 & 6.91520497503423 & -0.155449737473623 & -0.155449737473623 & 0.518572207386821 \tabularnewline
58 & 8 & 7.95209064425682 & -0.154207970164030 & -0.15420797016403 & 0.436273277376316 \tabularnewline
59 & 14 & 13.2280670938837 & -0.148558552781648 & -0.148558552781648 & 1.98689353198937 \tabularnewline
60 & 14 & 13.9927947018899 & -0.147609382190291 & -0.147609382190292 & 0.334169445813131 \tabularnewline
61 & 13 & 11.9099693457891 & -0.128970020093468 & 1.41867022554141 & -0.739898804466961 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63399&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]19[/C][C]19[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]18.1108869988334[/C][C]-0.051231097300266[/C][C]-0.0512310975556439[/C][C]-0.200626530440003[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]18.9004944082692[/C][C]-0.0398278045332988[/C][C]-0.0398278045332993[/C][C]0.305317779906727[/C][/ROW]
[ROW][C]4[/C][C]19[/C][C]19.0130083739769[/C][C]-0.0387673174784865[/C][C]-0.0387673174784865[/C][C]0.0558017298893943[/C][/ROW]
[ROW][C]5[/C][C]22[/C][C]21.5816274608516[/C][C]-0.0231613156477001[/C][C]-0.0231613156477002[/C][C]0.955488215616181[/C][/ROW]
[ROW][C]6[/C][C]23[/C][C]22.8048158117019[/C][C]-0.0159126167790224[/C][C]-0.0159126167790226[/C][C]0.456747429571069[/C][/ROW]
[ROW][C]7[/C][C]20[/C][C]20.4291933373491[/C][C]-0.0295117081831036[/C][C]-0.0295117081831038[/C][C]-0.864754732546442[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.9787506804773[/C][C]-0.0605586504685541[/C][C]-0.0605586504685542[/C][C]-1.98657023864225[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]14.1883374202623[/C][C]-0.0647146027942089[/C][C]-0.0647146027942088[/C][C]-0.267461831052249[/C][/ROW]
[ROW][C]10[/C][C]14[/C][C]14.0734899979576[/C][C]-0.0649984508668466[/C][C]-0.0649984508668466[/C][C]-0.0183714315332262[/C][/ROW]
[ROW][C]11[/C][C]15[/C][C]14.9076372112654[/C][C]-0.0599362284161829[/C][C]-0.059936228416183[/C][C]0.329493139930105[/C][/ROW]
[ROW][C]12[/C][C]11[/C][C]11.6240202077550[/C][C]-0.0779840534106643[/C][C]-0.0779840534106638[/C][C]-1.18130993359118[/C][/ROW]
[ROW][C]13[/C][C]17[/C][C]14.1818883581347[/C][C]-0.215206807423069[/C][C]2.36727488408787[/C][C]1.18240948626271[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]15.9234675080638[/C][C]-0.163118067413767[/C][C]-0.163118068548667[/C][C]0.6029756395653[/C][/ROW]
[ROW][C]15[/C][C]20[/C][C]19.5104961529234[/C][C]-0.139743618970718[/C][C]-0.139743618970719[/C][C]1.36721031481802[/C][/ROW]
[ROW][C]16[/C][C]24[/C][C]23.4378945844903[/C][C]-0.126594440155188[/C][C]-0.126594440155188[/C][C]1.48864076745306[/C][/ROW]
[ROW][C]17[/C][C]23[/C][C]23.1537340304521[/C][C]-0.127034667374350[/C][C]-0.127034667374350[/C][C]-0.0576835873659201[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]20.5529785008708[/C][C]-0.133773463631006[/C][C]-0.133773463631006[/C][C]-0.905625815193748[/C][/ROW]
[ROW][C]19[/C][C]21[/C][C]21.0288148620954[/C][C]-0.132122767105274[/C][C]-0.132122767105273[/C][C]0.223177467762196[/C][/ROW]
[ROW][C]20[/C][C]19[/C][C]19.3912991965062[/C][C]-0.136186099490365[/C][C]-0.136186099490366[/C][C]-0.551121555475307[/C][/ROW]
[ROW][C]21[/C][C]23[/C][C]22.5661621676204[/C][C]-0.127273647106577[/C][C]-0.127273647106577[/C][C]1.21216611578203[/C][/ROW]
[ROW][C]22[/C][C]23[/C][C]23.0261721454294[/C][C]-0.125697097346314[/C][C]-0.125697097346314[/C][C]0.215002437889736[/C][/ROW]
[ROW][C]23[/C][C]23[/C][C]23.0926204103863[/C][C]-0.125182669142621[/C][C]-0.125182669142621[/C][C]0.0703435644992861[/C][/ROW]
[ROW][C]24[/C][C]23[/C][C]23.1020166422713[/C][C]-0.124823324997941[/C][C]-0.124823324997940[/C][C]0.0492686224335875[/C][/ROW]
[ROW][C]25[/C][C]27[/C][C]24.813743856618[/C][C]-0.170324774837437[/C][C]1.87357252721930[/C][C]0.747681575636689[/C][/ROW]
[ROW][C]26[/C][C]26[/C][C]25.9640351458097[/C][C]-0.147401698739636[/C][C]-0.147401702017821[/C][C]0.434638135554451[/C][/ROW]
[ROW][C]27[/C][C]17[/C][C]18.4225733035037[/C][C]-0.177377590719308[/C][C]-0.177377590719307[/C][C]-2.69880043671563[/C][/ROW]
[ROW][C]28[/C][C]24[/C][C]23.3088895353951[/C][C]-0.166710614046131[/C][C]-0.166710614046129[/C][C]1.85296511339913[/C][/ROW]
[ROW][C]29[/C][C]26[/C][C]25.7243704807678[/C][C]-0.162004721025879[/C][C]-0.162004721025879[/C][C]0.945031693393256[/C][/ROW]
[ROW][C]30[/C][C]24[/C][C]24.3667736706542[/C][C]-0.164131260759238[/C][C]-0.164131260759239[/C][C]-0.437569293181091[/C][/ROW]
[ROW][C]31[/C][C]27[/C][C]26.7311014851556[/C][C]-0.159656812215594[/C][C]-0.159656812215593[/C][C]0.925380102187874[/C][/ROW]
[ROW][C]32[/C][C]27[/C][C]27.0736498418047[/C][C]-0.158770088205344[/C][C]-0.158770088205345[/C][C]0.183799821206169[/C][/ROW]
[ROW][C]33[/C][C]26[/C][C]26.2693249146466[/C][C]-0.159907830926560[/C][C]-0.159907830926559[/C][C]-0.23626349252131[/C][/ROW]
[ROW][C]34[/C][C]24[/C][C]24.4449516761456[/C][C]-0.162836137744504[/C][C]-0.162836137744503[/C][C]-0.609169023074157[/C][/ROW]
[ROW][C]35[/C][C]23[/C][C]23.326487029547[/C][C]-0.164514427257566[/C][C]-0.164514427257565[/C][C]-0.349745143263629[/C][/ROW]
[ROW][C]36[/C][C]23[/C][C]23.1641427901844[/C][C]-0.164510622622709[/C][C]-0.164510622622707[/C][C]0.000794254146383672[/C][/ROW]
[ROW][C]37[/C][C]24[/C][C]22.3996663722857[/C][C]-0.154757675496872[/C][C]1.70233443029569[/C][C]-0.235995945432381[/C][/ROW]
[ROW][C]38[/C][C]17[/C][C]17.8555214912224[/C][C]-0.211281772688481[/C][C]-0.211281774705440[/C][C]-1.48747864115771[/C][/ROW]
[ROW][C]39[/C][C]21[/C][C]20.6885603225443[/C][C]-0.202136810370800[/C][C]-0.202136810370798[/C][C]1.11177867158714[/C][/ROW]
[ROW][C]40[/C][C]19[/C][C]19.3896836800057[/C][C]-0.203850179065471[/C][C]-0.203850179065470[/C][C]-0.401286596692104[/C][/ROW]
[ROW][C]41[/C][C]22[/C][C]21.7634623739253[/C][C]-0.200364583841613[/C][C]-0.200364583841614[/C][C]0.943223462991855[/C][/ROW]
[ROW][C]42[/C][C]22[/C][C]22.1073863965383[/C][C]-0.199645920035348[/C][C]-0.199645920035348[/C][C]0.199171826098259[/C][/ROW]
[ROW][C]43[/C][C]18[/C][C]18.7406488578405[/C][C]-0.203808368649554[/C][C]-0.203808368649553[/C][C]-1.15893662772088[/C][/ROW]
[ROW][C]44[/C][C]16[/C][C]16.5441890055514[/C][C]-0.206422580280858[/C][C]-0.206422580280858[/C][C]-0.729172455501753[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]14.5173749489054[/C][C]-0.208807504442529[/C][C]-0.208807504442529[/C][C]-0.666136864396173[/C][/ROW]
[ROW][C]46[/C][C]12[/C][C]12.5151493740287[/C][C]-0.211153992432317[/C][C]-0.211153992432317[/C][C]-0.656266102712891[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]13.9329137669097[/C][C]-0.209025521960652[/C][C]-0.209025521960652[/C][C]0.596070339424432[/C][/ROW]
[ROW][C]48[/C][C]16[/C][C]15.8464655201049[/C][C]-0.206255618643653[/C][C]-0.206255618643651[/C][C]0.776714571134126[/C][/ROW]
[ROW][C]49[/C][C]8[/C][C]8.03514433471271[/C][C]-0.114262851701417[/C][C]1.25689137184811[/C][C]-2.93909960858519[/C][/ROW]
[ROW][C]50[/C][C]3[/C][C]3.78323541200469[/C][C]-0.156613578762039[/C][C]-0.156613583824149[/C][C]-1.42555589150619[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.663991842963106[/C][C]-0.163682187017350[/C][C]-0.163682187017348[/C][C]-1.08229674760542[/C][/ROW]
[ROW][C]52[/C][C]5[/C][C]4.48370083080553[/C][C]-0.158736990329350[/C][C]-0.158736990329348[/C][C]1.45738813912598[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]1.62013270355226[/C][C]-0.161644462252316[/C][C]-0.161644462252317[/C][C]-0.98968450708988[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]1.20489755816989[/C][C]-0.161910699284411[/C][C]-0.161910699284411[/C][C]-0.0927883578614771[/C][/ROW]
[ROW][C]55[/C][C]3[/C][C]2.85316816971688[/C][C]-0.160018502727007[/C][C]-0.160018502727007[/C][C]0.662342510925763[/C][/ROW]
[ROW][C]56[/C][C]6[/C][C]5.65487429964198[/C][C]-0.156927305944377[/C][C]-0.156927305944378[/C][C]1.08369020628696[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]6.91520497503423[/C][C]-0.155449737473623[/C][C]-0.155449737473623[/C][C]0.518572207386821[/C][/ROW]
[ROW][C]58[/C][C]8[/C][C]7.95209064425682[/C][C]-0.154207970164030[/C][C]-0.15420797016403[/C][C]0.436273277376316[/C][/ROW]
[ROW][C]59[/C][C]14[/C][C]13.2280670938837[/C][C]-0.148558552781648[/C][C]-0.148558552781648[/C][C]1.98689353198937[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]13.9927947018899[/C][C]-0.147609382190291[/C][C]-0.147609382190292[/C][C]0.334169445813131[/C][/ROW]
[ROW][C]61[/C][C]13[/C][C]11.9099693457891[/C][C]-0.128970020093468[/C][C]1.41867022554141[/C][C]-0.739898804466961[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63399&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
11919000
21818.1108869988334-0.051231097300266-0.0512310975556439-0.200626530440003
31918.9004944082692-0.0398278045332988-0.03982780453329930.305317779906727
41919.0130083739769-0.0387673174784865-0.03876731747848650.0558017298893943
52221.5816274608516-0.0231613156477001-0.02316131564770020.955488215616181
62322.8048158117019-0.0159126167790224-0.01591261677902260.456747429571069
72020.4291933373491-0.0295117081831036-0.0295117081831038-0.864754732546442
81414.9787506804773-0.0605586504685541-0.0605586504685542-1.98657023864225
91414.1883374202623-0.0647146027942089-0.0647146027942088-0.267461831052249
101414.0734899979576-0.0649984508668466-0.0649984508668466-0.0183714315332262
111514.9076372112654-0.0599362284161829-0.0599362284161830.329493139930105
121111.6240202077550-0.0779840534106643-0.0779840534106638-1.18130993359118
131714.1818883581347-0.2152068074230692.367274884087871.18240948626271
141615.9234675080638-0.163118067413767-0.1631180685486670.6029756395653
152019.5104961529234-0.139743618970718-0.1397436189707191.36721031481802
162423.4378945844903-0.126594440155188-0.1265944401551881.48864076745306
172323.1537340304521-0.127034667374350-0.127034667374350-0.0576835873659201
182020.5529785008708-0.133773463631006-0.133773463631006-0.905625815193748
192121.0288148620954-0.132122767105274-0.1321227671052730.223177467762196
201919.3912991965062-0.136186099490365-0.136186099490366-0.551121555475307
212322.5661621676204-0.127273647106577-0.1272736471065771.21216611578203
222323.0261721454294-0.125697097346314-0.1256970973463140.215002437889736
232323.0926204103863-0.125182669142621-0.1251826691426210.0703435644992861
242323.1020166422713-0.124823324997941-0.1248233249979400.0492686224335875
252724.813743856618-0.1703247748374371.873572527219300.747681575636689
262625.9640351458097-0.147401698739636-0.1474017020178210.434638135554451
271718.4225733035037-0.177377590719308-0.177377590719307-2.69880043671563
282423.3088895353951-0.166710614046131-0.1667106140461291.85296511339913
292625.7243704807678-0.162004721025879-0.1620047210258790.945031693393256
302424.3667736706542-0.164131260759238-0.164131260759239-0.437569293181091
312726.7311014851556-0.159656812215594-0.1596568122155930.925380102187874
322727.0736498418047-0.158770088205344-0.1587700882053450.183799821206169
332626.2693249146466-0.159907830926560-0.159907830926559-0.23626349252131
342424.4449516761456-0.162836137744504-0.162836137744503-0.609169023074157
352323.326487029547-0.164514427257566-0.164514427257565-0.349745143263629
362323.1641427901844-0.164510622622709-0.1645106226227070.000794254146383672
372422.3996663722857-0.1547576754968721.70233443029569-0.235995945432381
381717.8555214912224-0.211281772688481-0.211281774705440-1.48747864115771
392120.6885603225443-0.202136810370800-0.2021368103707981.11177867158714
401919.3896836800057-0.203850179065471-0.203850179065470-0.401286596692104
412221.7634623739253-0.200364583841613-0.2003645838416140.943223462991855
422222.1073863965383-0.199645920035348-0.1996459200353480.199171826098259
431818.7406488578405-0.203808368649554-0.203808368649553-1.15893662772088
441616.5441890055514-0.206422580280858-0.206422580280858-0.729172455501753
451414.5173749489054-0.208807504442529-0.208807504442529-0.666136864396173
461212.5151493740287-0.211153992432317-0.211153992432317-0.656266102712891
471413.9329137669097-0.209025521960652-0.2090255219606520.596070339424432
481615.8464655201049-0.206255618643653-0.2062556186436510.776714571134126
4988.03514433471271-0.1142628517014171.25689137184811-2.93909960858519
5033.78323541200469-0.156613578762039-0.156613583824149-1.42555589150619
5100.663991842963106-0.163682187017350-0.163682187017348-1.08229674760542
5254.48370083080553-0.158736990329350-0.1587369903293481.45738813912598
5311.62013270355226-0.161644462252316-0.161644462252317-0.98968450708988
5411.20489755816989-0.161910699284411-0.161910699284411-0.0927883578614771
5532.85316816971688-0.160018502727007-0.1600185027270070.662342510925763
5665.65487429964198-0.156927305944377-0.1569273059443781.08369020628696
5776.91520497503423-0.155449737473623-0.1554497374736230.518572207386821
5887.95209064425682-0.154207970164030-0.154207970164030.436273277376316
591413.2280670938837-0.148558552781648-0.1485585527816481.98689353198937
601413.9927947018899-0.147609382190291-0.1476093821902920.334169445813131
611311.9099693457891-0.1289700200934681.41867022554141-0.739898804466961



Parameters (Session):
par1 = FALSE ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 3 ; par7 = 1 ; par8 = 2 ; par9 = 1 ;
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')