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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationMon, 26 Nov 2012 17:01:41 -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/2012/Nov/26/t1353967343tu0ucbtj3txtkmj.htm/, Retrieved Tue, 30 Apr 2024 00:06:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=193689, Retrieved Tue, 30 Apr 2024 00:06:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2008-12-14 11:54:22] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- RMPD  [Central Tendency] [] [2011-12-06 20:30:47] [b98453cac15ba1066b407e146608df68]
- RMP       [Structural Time Series Models] [structural time s...] [2012-11-26 22:01:41] [239167cccea8953a8e1721fd6db07280] [Current]
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Dataseries X:
0.0589999409995141
-1.41417450501306
-18.3846475755861
4.24266776527226
-9.89940750475467
-1.41416601970523
-4.94968147844429
8.48527118362683
5.65684722004823
2.12135156036077
-12.7278137906086
-1.41417238368611
-5.65678640867546
5.71546709301464
11.430917448217
4.0824915417843
-5.71542749248443
-4.89893277693375
5.30722585896545
-8.98140023237252
-0.816480018948223
-3.67419274460486
2.44950292718234
-7.34841447478369
-12.2473676641251
13.5676795115537
-7.50550178552387
-10.1035605510469
4.61879420118808
-12.9903024874634
3.7527758629083
-14.1450008210891
-2.30938107887528
-11.2582591729112
-4.33008822361948
1.29908651985677e-05
16.454417696876
7.82621147962468
4.02491438422167
-8.72060773063855
-0.894411455568734
-0.223594253653449
-6.93176357788012
-2.01244265593132
-7.1553761680782
0.223617958497356
8.27342503551901
15.2051986751483
2.90688653528183
-12.7801213366766
-3.10373653589491
-7.1203466912372
-3.46888342810694
-8.3983624583384
2.55603701106735
0.182580385499283
10.5892565952768
15.7013138196074
6.75522353446613
5.11206123957597
8.76352852127385




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'George Udny Yule' @ yule.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 & 5 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193689&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193689&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193689&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 time5 seconds
R Server'George Udny Yule' @ yule.wessa.net







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
10.05899994099951410.0589999409995141000
2-1.41417450501306-0.123292393267956-0.0607976827267554-0.0607473258748129-0.172088340977774
3-18.3846475755861-3.15995243686666-0.805735466995839-0.804035884916379-2.0675543561456
44.24266776527226-2.25220637774522-0.462248374843591-0.4619912279444771.01221981551347
5-9.89940750475467-4.08133813389685-0.690896346855677-0.689051736057166-0.750663705895213
6-1.41416601970523-3.93347766972767-0.5704147144669-0.5698551714526980.452003441822474
7-4.94968147844429-4.47841370250034-0.567204451108804-0.5666950975851790.0139094802486613
88.48527118362683-2.22363436962555-0.250113109766888-0.2566248061934051.58940722366622
95.65684722004823-0.8524232115634-0.085453540682702-0.09698805396745510.951556971387952
102.12135156036077-0.351591494169545-0.0310300679592416-0.04479820761335890.360360301800313
11-12.7278137906086-2.57324058534105-0.218702518994061-0.222323682620485-1.41296476503506
12-1.41417238368611-2.51889230311181-0.196928668260704-0.2020712083034480.184851892491586
13-5.65678640867546-2.95596694742039-0.2198945379565562.32118560360435-0.650982229265393
145.71546709301464-1.52010068644777-0.103559755784587-0.1062336433169431.0450233231137
1511.4309174482170.6187535346624680.0459337951131210.02510753840769091.52314349028581
164.08249154178431.210032375065170.0806494990947520.05470955419457610.395249860521186
17-5.715427492484430.2135178261075680.01478101026123050.00049341033422249-0.827146315015427
18-4.89893277693375-0.517985414053097-0.0293036033429731-0.0343294704563694-0.603512271373997
195.307225858965450.2741094035277780.01781850010984530.001172201290018690.695874556787073
20-8.98140023237252-0.95302403652541-0.0518866321535556-0.0485924235416044-1.09973698737252
21-0.816480018948223-0.974175834461055-0.0501993690977774-0.04745862063611240.0281892666750719
22-3.67419274460486-1.35149062473331-0.067881207342902-0.0585642320801728-0.310300905539172
232.44950292718234-0.939254072575877-0.0422297962833297-0.04361390975235820.46935326083715
24-7.34841447478369-1.73554663430565-0.0821867184781329-0.0650636737793032-0.757148449697881
25-12.2473676641251-2.78282910226174-0.1486931683882580.670661561814619-1.35865981873875
2613.5676795115537-0.932319046073655-0.0458488177739959-0.01018377851979741.98160392178823
27-7.50550178552387-1.74513945565619-0.0852622647454024-0.0278552885773578-0.781356395141073
28-10.1035605510469-2.77959072462355-0.134102158944576-0.0475660288690052-0.990169921521089
294.61879420118808-2.05743285484998-0.089904057960544-0.03165617580970960.911542413377938
30-12.9903024874634-3.34915916333673-0.152227138700917-0.0514718277950706-1.30163441485607
313.7527758629083-2.70012303669956-0.110438262961532-0.0398602123697430.880423467316854
32-14.1450008210891-4.03563124964201-0.17474232181563-0.055290279630515-1.3622417679734
33-2.30938107887528-4.00008778376254-0.163628501037079-0.05301870768967080.236103743560088
34-11.2582591729112-4.91524638899912-0.203627429017137-0.0598694110636522-0.850295404504883
35-4.33008822361948-5.02879339091513-0.198799491107647-0.05919043498931160.102522288412941
361.29908651985677e-05-4.66868763042572-0.168641227519981-0.05579855469015850.638884257958652
3716.454417696876-2.76825836360653-0.03430222117786351.16172193681212.47042813910132
387.82621147962468-1.663170779623910.0267588098209733-0.0983591329395441.29686482667607
394.02491438422167-1.027496744875560.0596248729555029-0.09525522299618950.696069475438296
40-8.72060773063855-1.77519675225910.0157560754139357-0.098424388396389-0.92563699069902
41-0.894411455568734-1.658036405769380.0213005645976422-0.09813555550196150.116481433541863
42-0.223594253653449-1.477802657104490.0300398559460746-0.09783923926926340.182732612853399
43-6.93176357788012-2.01414142239468-0.00126210044968311-0.0983894738050703-0.651293350692112
44-2.01244265593132-2.00474103864638-0.000670170899289278-0.09838769652251260.0122554970262099
45-7.1553761680782-2.53734570795984-0.0303161203717765-0.0980932798939452-0.610840338008991
460.223617958497356-2.26302996260372-0.0132813257675618-0.09845667634006460.349372630351554
478.27342503551901-1.151997183904760.0497674503479265-0.1004307408884031.2874723278395
4815.20519867514830.6330374885252290.147305256970561-0.1043291822550731.98374148713693
492.906886535281830.8858279688140850.1537072970409911.180306519024480.1159728140442
50-12.7801213366766-0.4059145055390120.0728595204386704-0.107279899128901-1.65795194595929
51-3.10373653589491-0.6141352136041370.0570986122704938-0.107144000397955-0.32201707926698
52-7.1203466912372-1.239274833642980.0187626174677725-0.106530627234875-0.780538087533443
53-3.46888342810694-1.447161876697460.00600436323176131-0.106244128560311-0.258928645810242
54-8.3983624583384-2.16716793816627-0.0349220400140501-0.105095874201936-0.828162848674775
552.55603701106735-1.68598531351767-0.00579501211398939-0.1060531412511860.587839319849929
560.182580385499283-1.481317170519280.00609328306360357-0.1064923277862180.239364889095731
5710.5892565952768-0.1800595982262550.0793007021498396-0.1094460336306011.47095842458886
5815.70131381960741.594574387174620.175171723332635-0.1135812674623681.92290807119331
596.755223534466132.313667015727670.205939655148419-0.1149767069061940.616183813433953
605.112061239575972.80871456948340.22229625861212-0.1157464117399630.327154591581637
618.763528521273853.516113919350930.250182222883031.416909059147530.528335449368755

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 0.0589999409995141 & 0.0589999409995141 & 0 & 0 & 0 \tabularnewline
2 & -1.41417450501306 & -0.123292393267956 & -0.0607976827267554 & -0.0607473258748129 & -0.172088340977774 \tabularnewline
3 & -18.3846475755861 & -3.15995243686666 & -0.805735466995839 & -0.804035884916379 & -2.0675543561456 \tabularnewline
4 & 4.24266776527226 & -2.25220637774522 & -0.462248374843591 & -0.461991227944477 & 1.01221981551347 \tabularnewline
5 & -9.89940750475467 & -4.08133813389685 & -0.690896346855677 & -0.689051736057166 & -0.750663705895213 \tabularnewline
6 & -1.41416601970523 & -3.93347766972767 & -0.5704147144669 & -0.569855171452698 & 0.452003441822474 \tabularnewline
7 & -4.94968147844429 & -4.47841370250034 & -0.567204451108804 & -0.566695097585179 & 0.0139094802486613 \tabularnewline
8 & 8.48527118362683 & -2.22363436962555 & -0.250113109766888 & -0.256624806193405 & 1.58940722366622 \tabularnewline
9 & 5.65684722004823 & -0.8524232115634 & -0.085453540682702 & -0.0969880539674551 & 0.951556971387952 \tabularnewline
10 & 2.12135156036077 & -0.351591494169545 & -0.0310300679592416 & -0.0447982076133589 & 0.360360301800313 \tabularnewline
11 & -12.7278137906086 & -2.57324058534105 & -0.218702518994061 & -0.222323682620485 & -1.41296476503506 \tabularnewline
12 & -1.41417238368611 & -2.51889230311181 & -0.196928668260704 & -0.202071208303448 & 0.184851892491586 \tabularnewline
13 & -5.65678640867546 & -2.95596694742039 & -0.219894537956556 & 2.32118560360435 & -0.650982229265393 \tabularnewline
14 & 5.71546709301464 & -1.52010068644777 & -0.103559755784587 & -0.106233643316943 & 1.0450233231137 \tabularnewline
15 & 11.430917448217 & 0.618753534662468 & 0.045933795113121 & 0.0251075384076909 & 1.52314349028581 \tabularnewline
16 & 4.0824915417843 & 1.21003237506517 & 0.080649499094752 & 0.0547095541945761 & 0.395249860521186 \tabularnewline
17 & -5.71542749248443 & 0.213517826107568 & 0.0147810102612305 & 0.00049341033422249 & -0.827146315015427 \tabularnewline
18 & -4.89893277693375 & -0.517985414053097 & -0.0293036033429731 & -0.0343294704563694 & -0.603512271373997 \tabularnewline
19 & 5.30722585896545 & 0.274109403527778 & 0.0178185001098453 & 0.00117220129001869 & 0.695874556787073 \tabularnewline
20 & -8.98140023237252 & -0.95302403652541 & -0.0518866321535556 & -0.0485924235416044 & -1.09973698737252 \tabularnewline
21 & -0.816480018948223 & -0.974175834461055 & -0.0501993690977774 & -0.0474586206361124 & 0.0281892666750719 \tabularnewline
22 & -3.67419274460486 & -1.35149062473331 & -0.067881207342902 & -0.0585642320801728 & -0.310300905539172 \tabularnewline
23 & 2.44950292718234 & -0.939254072575877 & -0.0422297962833297 & -0.0436139097523582 & 0.46935326083715 \tabularnewline
24 & -7.34841447478369 & -1.73554663430565 & -0.0821867184781329 & -0.0650636737793032 & -0.757148449697881 \tabularnewline
25 & -12.2473676641251 & -2.78282910226174 & -0.148693168388258 & 0.670661561814619 & -1.35865981873875 \tabularnewline
26 & 13.5676795115537 & -0.932319046073655 & -0.0458488177739959 & -0.0101837785197974 & 1.98160392178823 \tabularnewline
27 & -7.50550178552387 & -1.74513945565619 & -0.0852622647454024 & -0.0278552885773578 & -0.781356395141073 \tabularnewline
28 & -10.1035605510469 & -2.77959072462355 & -0.134102158944576 & -0.0475660288690052 & -0.990169921521089 \tabularnewline
29 & 4.61879420118808 & -2.05743285484998 & -0.089904057960544 & -0.0316561758097096 & 0.911542413377938 \tabularnewline
30 & -12.9903024874634 & -3.34915916333673 & -0.152227138700917 & -0.0514718277950706 & -1.30163441485607 \tabularnewline
31 & 3.7527758629083 & -2.70012303669956 & -0.110438262961532 & -0.039860212369743 & 0.880423467316854 \tabularnewline
32 & -14.1450008210891 & -4.03563124964201 & -0.17474232181563 & -0.055290279630515 & -1.3622417679734 \tabularnewline
33 & -2.30938107887528 & -4.00008778376254 & -0.163628501037079 & -0.0530187076896708 & 0.236103743560088 \tabularnewline
34 & -11.2582591729112 & -4.91524638899912 & -0.203627429017137 & -0.0598694110636522 & -0.850295404504883 \tabularnewline
35 & -4.33008822361948 & -5.02879339091513 & -0.198799491107647 & -0.0591904349893116 & 0.102522288412941 \tabularnewline
36 & 1.29908651985677e-05 & -4.66868763042572 & -0.168641227519981 & -0.0557985546901585 & 0.638884257958652 \tabularnewline
37 & 16.454417696876 & -2.76825836360653 & -0.0343022211778635 & 1.1617219368121 & 2.47042813910132 \tabularnewline
38 & 7.82621147962468 & -1.66317077962391 & 0.0267588098209733 & -0.098359132939544 & 1.29686482667607 \tabularnewline
39 & 4.02491438422167 & -1.02749674487556 & 0.0596248729555029 & -0.0952552229961895 & 0.696069475438296 \tabularnewline
40 & -8.72060773063855 & -1.7751967522591 & 0.0157560754139357 & -0.098424388396389 & -0.92563699069902 \tabularnewline
41 & -0.894411455568734 & -1.65803640576938 & 0.0213005645976422 & -0.0981355555019615 & 0.116481433541863 \tabularnewline
42 & -0.223594253653449 & -1.47780265710449 & 0.0300398559460746 & -0.0978392392692634 & 0.182732612853399 \tabularnewline
43 & -6.93176357788012 & -2.01414142239468 & -0.00126210044968311 & -0.0983894738050703 & -0.651293350692112 \tabularnewline
44 & -2.01244265593132 & -2.00474103864638 & -0.000670170899289278 & -0.0983876965225126 & 0.0122554970262099 \tabularnewline
45 & -7.1553761680782 & -2.53734570795984 & -0.0303161203717765 & -0.0980932798939452 & -0.610840338008991 \tabularnewline
46 & 0.223617958497356 & -2.26302996260372 & -0.0132813257675618 & -0.0984566763400646 & 0.349372630351554 \tabularnewline
47 & 8.27342503551901 & -1.15199718390476 & 0.0497674503479265 & -0.100430740888403 & 1.2874723278395 \tabularnewline
48 & 15.2051986751483 & 0.633037488525229 & 0.147305256970561 & -0.104329182255073 & 1.98374148713693 \tabularnewline
49 & 2.90688653528183 & 0.885827968814085 & 0.153707297040991 & 1.18030651902448 & 0.1159728140442 \tabularnewline
50 & -12.7801213366766 & -0.405914505539012 & 0.0728595204386704 & -0.107279899128901 & -1.65795194595929 \tabularnewline
51 & -3.10373653589491 & -0.614135213604137 & 0.0570986122704938 & -0.107144000397955 & -0.32201707926698 \tabularnewline
52 & -7.1203466912372 & -1.23927483364298 & 0.0187626174677725 & -0.106530627234875 & -0.780538087533443 \tabularnewline
53 & -3.46888342810694 & -1.44716187669746 & 0.00600436323176131 & -0.106244128560311 & -0.258928645810242 \tabularnewline
54 & -8.3983624583384 & -2.16716793816627 & -0.0349220400140501 & -0.105095874201936 & -0.828162848674775 \tabularnewline
55 & 2.55603701106735 & -1.68598531351767 & -0.00579501211398939 & -0.106053141251186 & 0.587839319849929 \tabularnewline
56 & 0.182580385499283 & -1.48131717051928 & 0.00609328306360357 & -0.106492327786218 & 0.239364889095731 \tabularnewline
57 & 10.5892565952768 & -0.180059598226255 & 0.0793007021498396 & -0.109446033630601 & 1.47095842458886 \tabularnewline
58 & 15.7013138196074 & 1.59457438717462 & 0.175171723332635 & -0.113581267462368 & 1.92290807119331 \tabularnewline
59 & 6.75522353446613 & 2.31366701572767 & 0.205939655148419 & -0.114976706906194 & 0.616183813433953 \tabularnewline
60 & 5.11206123957597 & 2.8087145694834 & 0.22229625861212 & -0.115746411739963 & 0.327154591581637 \tabularnewline
61 & 8.76352852127385 & 3.51611391935093 & 0.25018222288303 & 1.41690905914753 & 0.528335449368755 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=193689&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]0.0589999409995141[/C][C]0.0589999409995141[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]-1.41417450501306[/C][C]-0.123292393267956[/C][C]-0.0607976827267554[/C][C]-0.0607473258748129[/C][C]-0.172088340977774[/C][/ROW]
[ROW][C]3[/C][C]-18.3846475755861[/C][C]-3.15995243686666[/C][C]-0.805735466995839[/C][C]-0.804035884916379[/C][C]-2.0675543561456[/C][/ROW]
[ROW][C]4[/C][C]4.24266776527226[/C][C]-2.25220637774522[/C][C]-0.462248374843591[/C][C]-0.461991227944477[/C][C]1.01221981551347[/C][/ROW]
[ROW][C]5[/C][C]-9.89940750475467[/C][C]-4.08133813389685[/C][C]-0.690896346855677[/C][C]-0.689051736057166[/C][C]-0.750663705895213[/C][/ROW]
[ROW][C]6[/C][C]-1.41416601970523[/C][C]-3.93347766972767[/C][C]-0.5704147144669[/C][C]-0.569855171452698[/C][C]0.452003441822474[/C][/ROW]
[ROW][C]7[/C][C]-4.94968147844429[/C][C]-4.47841370250034[/C][C]-0.567204451108804[/C][C]-0.566695097585179[/C][C]0.0139094802486613[/C][/ROW]
[ROW][C]8[/C][C]8.48527118362683[/C][C]-2.22363436962555[/C][C]-0.250113109766888[/C][C]-0.256624806193405[/C][C]1.58940722366622[/C][/ROW]
[ROW][C]9[/C][C]5.65684722004823[/C][C]-0.8524232115634[/C][C]-0.085453540682702[/C][C]-0.0969880539674551[/C][C]0.951556971387952[/C][/ROW]
[ROW][C]10[/C][C]2.12135156036077[/C][C]-0.351591494169545[/C][C]-0.0310300679592416[/C][C]-0.0447982076133589[/C][C]0.360360301800313[/C][/ROW]
[ROW][C]11[/C][C]-12.7278137906086[/C][C]-2.57324058534105[/C][C]-0.218702518994061[/C][C]-0.222323682620485[/C][C]-1.41296476503506[/C][/ROW]
[ROW][C]12[/C][C]-1.41417238368611[/C][C]-2.51889230311181[/C][C]-0.196928668260704[/C][C]-0.202071208303448[/C][C]0.184851892491586[/C][/ROW]
[ROW][C]13[/C][C]-5.65678640867546[/C][C]-2.95596694742039[/C][C]-0.219894537956556[/C][C]2.32118560360435[/C][C]-0.650982229265393[/C][/ROW]
[ROW][C]14[/C][C]5.71546709301464[/C][C]-1.52010068644777[/C][C]-0.103559755784587[/C][C]-0.106233643316943[/C][C]1.0450233231137[/C][/ROW]
[ROW][C]15[/C][C]11.430917448217[/C][C]0.618753534662468[/C][C]0.045933795113121[/C][C]0.0251075384076909[/C][C]1.52314349028581[/C][/ROW]
[ROW][C]16[/C][C]4.0824915417843[/C][C]1.21003237506517[/C][C]0.080649499094752[/C][C]0.0547095541945761[/C][C]0.395249860521186[/C][/ROW]
[ROW][C]17[/C][C]-5.71542749248443[/C][C]0.213517826107568[/C][C]0.0147810102612305[/C][C]0.00049341033422249[/C][C]-0.827146315015427[/C][/ROW]
[ROW][C]18[/C][C]-4.89893277693375[/C][C]-0.517985414053097[/C][C]-0.0293036033429731[/C][C]-0.0343294704563694[/C][C]-0.603512271373997[/C][/ROW]
[ROW][C]19[/C][C]5.30722585896545[/C][C]0.274109403527778[/C][C]0.0178185001098453[/C][C]0.00117220129001869[/C][C]0.695874556787073[/C][/ROW]
[ROW][C]20[/C][C]-8.98140023237252[/C][C]-0.95302403652541[/C][C]-0.0518866321535556[/C][C]-0.0485924235416044[/C][C]-1.09973698737252[/C][/ROW]
[ROW][C]21[/C][C]-0.816480018948223[/C][C]-0.974175834461055[/C][C]-0.0501993690977774[/C][C]-0.0474586206361124[/C][C]0.0281892666750719[/C][/ROW]
[ROW][C]22[/C][C]-3.67419274460486[/C][C]-1.35149062473331[/C][C]-0.067881207342902[/C][C]-0.0585642320801728[/C][C]-0.310300905539172[/C][/ROW]
[ROW][C]23[/C][C]2.44950292718234[/C][C]-0.939254072575877[/C][C]-0.0422297962833297[/C][C]-0.0436139097523582[/C][C]0.46935326083715[/C][/ROW]
[ROW][C]24[/C][C]-7.34841447478369[/C][C]-1.73554663430565[/C][C]-0.0821867184781329[/C][C]-0.0650636737793032[/C][C]-0.757148449697881[/C][/ROW]
[ROW][C]25[/C][C]-12.2473676641251[/C][C]-2.78282910226174[/C][C]-0.148693168388258[/C][C]0.670661561814619[/C][C]-1.35865981873875[/C][/ROW]
[ROW][C]26[/C][C]13.5676795115537[/C][C]-0.932319046073655[/C][C]-0.0458488177739959[/C][C]-0.0101837785197974[/C][C]1.98160392178823[/C][/ROW]
[ROW][C]27[/C][C]-7.50550178552387[/C][C]-1.74513945565619[/C][C]-0.0852622647454024[/C][C]-0.0278552885773578[/C][C]-0.781356395141073[/C][/ROW]
[ROW][C]28[/C][C]-10.1035605510469[/C][C]-2.77959072462355[/C][C]-0.134102158944576[/C][C]-0.0475660288690052[/C][C]-0.990169921521089[/C][/ROW]
[ROW][C]29[/C][C]4.61879420118808[/C][C]-2.05743285484998[/C][C]-0.089904057960544[/C][C]-0.0316561758097096[/C][C]0.911542413377938[/C][/ROW]
[ROW][C]30[/C][C]-12.9903024874634[/C][C]-3.34915916333673[/C][C]-0.152227138700917[/C][C]-0.0514718277950706[/C][C]-1.30163441485607[/C][/ROW]
[ROW][C]31[/C][C]3.7527758629083[/C][C]-2.70012303669956[/C][C]-0.110438262961532[/C][C]-0.039860212369743[/C][C]0.880423467316854[/C][/ROW]
[ROW][C]32[/C][C]-14.1450008210891[/C][C]-4.03563124964201[/C][C]-0.17474232181563[/C][C]-0.055290279630515[/C][C]-1.3622417679734[/C][/ROW]
[ROW][C]33[/C][C]-2.30938107887528[/C][C]-4.00008778376254[/C][C]-0.163628501037079[/C][C]-0.0530187076896708[/C][C]0.236103743560088[/C][/ROW]
[ROW][C]34[/C][C]-11.2582591729112[/C][C]-4.91524638899912[/C][C]-0.203627429017137[/C][C]-0.0598694110636522[/C][C]-0.850295404504883[/C][/ROW]
[ROW][C]35[/C][C]-4.33008822361948[/C][C]-5.02879339091513[/C][C]-0.198799491107647[/C][C]-0.0591904349893116[/C][C]0.102522288412941[/C][/ROW]
[ROW][C]36[/C][C]1.29908651985677e-05[/C][C]-4.66868763042572[/C][C]-0.168641227519981[/C][C]-0.0557985546901585[/C][C]0.638884257958652[/C][/ROW]
[ROW][C]37[/C][C]16.454417696876[/C][C]-2.76825836360653[/C][C]-0.0343022211778635[/C][C]1.1617219368121[/C][C]2.47042813910132[/C][/ROW]
[ROW][C]38[/C][C]7.82621147962468[/C][C]-1.66317077962391[/C][C]0.0267588098209733[/C][C]-0.098359132939544[/C][C]1.29686482667607[/C][/ROW]
[ROW][C]39[/C][C]4.02491438422167[/C][C]-1.02749674487556[/C][C]0.0596248729555029[/C][C]-0.0952552229961895[/C][C]0.696069475438296[/C][/ROW]
[ROW][C]40[/C][C]-8.72060773063855[/C][C]-1.7751967522591[/C][C]0.0157560754139357[/C][C]-0.098424388396389[/C][C]-0.92563699069902[/C][/ROW]
[ROW][C]41[/C][C]-0.894411455568734[/C][C]-1.65803640576938[/C][C]0.0213005645976422[/C][C]-0.0981355555019615[/C][C]0.116481433541863[/C][/ROW]
[ROW][C]42[/C][C]-0.223594253653449[/C][C]-1.47780265710449[/C][C]0.0300398559460746[/C][C]-0.0978392392692634[/C][C]0.182732612853399[/C][/ROW]
[ROW][C]43[/C][C]-6.93176357788012[/C][C]-2.01414142239468[/C][C]-0.00126210044968311[/C][C]-0.0983894738050703[/C][C]-0.651293350692112[/C][/ROW]
[ROW][C]44[/C][C]-2.01244265593132[/C][C]-2.00474103864638[/C][C]-0.000670170899289278[/C][C]-0.0983876965225126[/C][C]0.0122554970262099[/C][/ROW]
[ROW][C]45[/C][C]-7.1553761680782[/C][C]-2.53734570795984[/C][C]-0.0303161203717765[/C][C]-0.0980932798939452[/C][C]-0.610840338008991[/C][/ROW]
[ROW][C]46[/C][C]0.223617958497356[/C][C]-2.26302996260372[/C][C]-0.0132813257675618[/C][C]-0.0984566763400646[/C][C]0.349372630351554[/C][/ROW]
[ROW][C]47[/C][C]8.27342503551901[/C][C]-1.15199718390476[/C][C]0.0497674503479265[/C][C]-0.100430740888403[/C][C]1.2874723278395[/C][/ROW]
[ROW][C]48[/C][C]15.2051986751483[/C][C]0.633037488525229[/C][C]0.147305256970561[/C][C]-0.104329182255073[/C][C]1.98374148713693[/C][/ROW]
[ROW][C]49[/C][C]2.90688653528183[/C][C]0.885827968814085[/C][C]0.153707297040991[/C][C]1.18030651902448[/C][C]0.1159728140442[/C][/ROW]
[ROW][C]50[/C][C]-12.7801213366766[/C][C]-0.405914505539012[/C][C]0.0728595204386704[/C][C]-0.107279899128901[/C][C]-1.65795194595929[/C][/ROW]
[ROW][C]51[/C][C]-3.10373653589491[/C][C]-0.614135213604137[/C][C]0.0570986122704938[/C][C]-0.107144000397955[/C][C]-0.32201707926698[/C][/ROW]
[ROW][C]52[/C][C]-7.1203466912372[/C][C]-1.23927483364298[/C][C]0.0187626174677725[/C][C]-0.106530627234875[/C][C]-0.780538087533443[/C][/ROW]
[ROW][C]53[/C][C]-3.46888342810694[/C][C]-1.44716187669746[/C][C]0.00600436323176131[/C][C]-0.106244128560311[/C][C]-0.258928645810242[/C][/ROW]
[ROW][C]54[/C][C]-8.3983624583384[/C][C]-2.16716793816627[/C][C]-0.0349220400140501[/C][C]-0.105095874201936[/C][C]-0.828162848674775[/C][/ROW]
[ROW][C]55[/C][C]2.55603701106735[/C][C]-1.68598531351767[/C][C]-0.00579501211398939[/C][C]-0.106053141251186[/C][C]0.587839319849929[/C][/ROW]
[ROW][C]56[/C][C]0.182580385499283[/C][C]-1.48131717051928[/C][C]0.00609328306360357[/C][C]-0.106492327786218[/C][C]0.239364889095731[/C][/ROW]
[ROW][C]57[/C][C]10.5892565952768[/C][C]-0.180059598226255[/C][C]0.0793007021498396[/C][C]-0.109446033630601[/C][C]1.47095842458886[/C][/ROW]
[ROW][C]58[/C][C]15.7013138196074[/C][C]1.59457438717462[/C][C]0.175171723332635[/C][C]-0.113581267462368[/C][C]1.92290807119331[/C][/ROW]
[ROW][C]59[/C][C]6.75522353446613[/C][C]2.31366701572767[/C][C]0.205939655148419[/C][C]-0.114976706906194[/C][C]0.616183813433953[/C][/ROW]
[ROW][C]60[/C][C]5.11206123957597[/C][C]2.8087145694834[/C][C]0.22229625861212[/C][C]-0.115746411739963[/C][C]0.327154591581637[/C][/ROW]
[ROW][C]61[/C][C]8.76352852127385[/C][C]3.51611391935093[/C][C]0.25018222288303[/C][C]1.41690905914753[/C][C]0.528335449368755[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=193689&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=193689&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
10.05899994099951410.0589999409995141000
2-1.41417450501306-0.123292393267956-0.0607976827267554-0.0607473258748129-0.172088340977774
3-18.3846475755861-3.15995243686666-0.805735466995839-0.804035884916379-2.0675543561456
44.24266776527226-2.25220637774522-0.462248374843591-0.4619912279444771.01221981551347
5-9.89940750475467-4.08133813389685-0.690896346855677-0.689051736057166-0.750663705895213
6-1.41416601970523-3.93347766972767-0.5704147144669-0.5698551714526980.452003441822474
7-4.94968147844429-4.47841370250034-0.567204451108804-0.5666950975851790.0139094802486613
88.48527118362683-2.22363436962555-0.250113109766888-0.2566248061934051.58940722366622
95.65684722004823-0.8524232115634-0.085453540682702-0.09698805396745510.951556971387952
102.12135156036077-0.351591494169545-0.0310300679592416-0.04479820761335890.360360301800313
11-12.7278137906086-2.57324058534105-0.218702518994061-0.222323682620485-1.41296476503506
12-1.41417238368611-2.51889230311181-0.196928668260704-0.2020712083034480.184851892491586
13-5.65678640867546-2.95596694742039-0.2198945379565562.32118560360435-0.650982229265393
145.71546709301464-1.52010068644777-0.103559755784587-0.1062336433169431.0450233231137
1511.4309174482170.6187535346624680.0459337951131210.02510753840769091.52314349028581
164.08249154178431.210032375065170.0806494990947520.05470955419457610.395249860521186
17-5.715427492484430.2135178261075680.01478101026123050.00049341033422249-0.827146315015427
18-4.89893277693375-0.517985414053097-0.0293036033429731-0.0343294704563694-0.603512271373997
195.307225858965450.2741094035277780.01781850010984530.001172201290018690.695874556787073
20-8.98140023237252-0.95302403652541-0.0518866321535556-0.0485924235416044-1.09973698737252
21-0.816480018948223-0.974175834461055-0.0501993690977774-0.04745862063611240.0281892666750719
22-3.67419274460486-1.35149062473331-0.067881207342902-0.0585642320801728-0.310300905539172
232.44950292718234-0.939254072575877-0.0422297962833297-0.04361390975235820.46935326083715
24-7.34841447478369-1.73554663430565-0.0821867184781329-0.0650636737793032-0.757148449697881
25-12.2473676641251-2.78282910226174-0.1486931683882580.670661561814619-1.35865981873875
2613.5676795115537-0.932319046073655-0.0458488177739959-0.01018377851979741.98160392178823
27-7.50550178552387-1.74513945565619-0.0852622647454024-0.0278552885773578-0.781356395141073
28-10.1035605510469-2.77959072462355-0.134102158944576-0.0475660288690052-0.990169921521089
294.61879420118808-2.05743285484998-0.089904057960544-0.03165617580970960.911542413377938
30-12.9903024874634-3.34915916333673-0.152227138700917-0.0514718277950706-1.30163441485607
313.7527758629083-2.70012303669956-0.110438262961532-0.0398602123697430.880423467316854
32-14.1450008210891-4.03563124964201-0.17474232181563-0.055290279630515-1.3622417679734
33-2.30938107887528-4.00008778376254-0.163628501037079-0.05301870768967080.236103743560088
34-11.2582591729112-4.91524638899912-0.203627429017137-0.0598694110636522-0.850295404504883
35-4.33008822361948-5.02879339091513-0.198799491107647-0.05919043498931160.102522288412941
361.29908651985677e-05-4.66868763042572-0.168641227519981-0.05579855469015850.638884257958652
3716.454417696876-2.76825836360653-0.03430222117786351.16172193681212.47042813910132
387.82621147962468-1.663170779623910.0267588098209733-0.0983591329395441.29686482667607
394.02491438422167-1.027496744875560.0596248729555029-0.09525522299618950.696069475438296
40-8.72060773063855-1.77519675225910.0157560754139357-0.098424388396389-0.92563699069902
41-0.894411455568734-1.658036405769380.0213005645976422-0.09813555550196150.116481433541863
42-0.223594253653449-1.477802657104490.0300398559460746-0.09783923926926340.182732612853399
43-6.93176357788012-2.01414142239468-0.00126210044968311-0.0983894738050703-0.651293350692112
44-2.01244265593132-2.00474103864638-0.000670170899289278-0.09838769652251260.0122554970262099
45-7.1553761680782-2.53734570795984-0.0303161203717765-0.0980932798939452-0.610840338008991
460.223617958497356-2.26302996260372-0.0132813257675618-0.09845667634006460.349372630351554
478.27342503551901-1.151997183904760.0497674503479265-0.1004307408884031.2874723278395
4815.20519867514830.6330374885252290.147305256970561-0.1043291822550731.98374148713693
492.906886535281830.8858279688140850.1537072970409911.180306519024480.1159728140442
50-12.7801213366766-0.4059145055390120.0728595204386704-0.107279899128901-1.65795194595929
51-3.10373653589491-0.6141352136041370.0570986122704938-0.107144000397955-0.32201707926698
52-7.1203466912372-1.239274833642980.0187626174677725-0.106530627234875-0.780538087533443
53-3.46888342810694-1.447161876697460.00600436323176131-0.106244128560311-0.258928645810242
54-8.3983624583384-2.16716793816627-0.0349220400140501-0.105095874201936-0.828162848674775
552.55603701106735-1.68598531351767-0.00579501211398939-0.1060531412511860.587839319849929
560.182580385499283-1.481317170519280.00609328306360357-0.1064923277862180.239364889095731
5710.5892565952768-0.1800595982262550.0793007021498396-0.1094460336306011.47095842458886
5815.70131381960741.594574387174620.175171723332635-0.1135812674623681.92290807119331
596.755223534466132.313667015727670.205939655148419-0.1149767069061940.616183813433953
605.112061239575972.80871456948340.22229625861212-0.1157464117399630.327154591581637
618.763528521273853.516113919350930.250182222883031.416909059147530.528335449368755



Parameters (Session):
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')