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Author*The author of this computation has been verified*
R Software Modulerwasp_structuraltimeseries.wasp
Title produced by softwareStructural Time Series Models
Date of computationThu, 16 Dec 2010 13:47:24 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/16/t1292507134xa6lak2bk5y5xrk.htm/, Retrieved Fri, 03 May 2024 05:22:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110921, Retrieved Fri, 03 May 2024 05:22:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Structural Time Series Models] [] [2010-12-16 11:51:47] [4cec9a0c6d7fcfe819c8df12b51eb7f5]
-         [Structural Time Series Models] [W8] [2010-12-16 13:47:24] [c29c3326c6d67094f61f9076a2620b46] [Current]
-           [Structural Time Series Models] [] [2010-12-29 14:42:18] [4cec9a0c6d7fcfe819c8df12b51eb7f5]
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Dataseries X:
1856
1834
2095
2164
2368
2072
2521
1823
1947
2226
1754
1786
2072
1846
2137
2466
2154
2289
2628
2074
2798
2194
2442
2565
2063
2069
2539
1898
2139
2408
2725
2201
2311
2548
2276
2351
2280
2057
2479
2379
2295
2456
2546
2844
2260
2981
2678
3440
2842
2450
2669
2570
2540
2318
2930
2947
2799
2695
2498
2260
2160
2058
2533
2150
2172
2155
3016
2333
2355
2825
2214
2360
2299
1746
2069
2267
1878
2266
2282
2085
2277
2251
1828
1954
1851
1570
1852
2187
1855
2218
2253
2028
2169
1997
2034
1791
1627
1631
2319
1707
1747
2397
2059
2251
2558
2406
2049
2074
1734




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110921&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110921&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110921&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
118561856000
218341849.00677901170-0.866277322744983-2.24329946878328-0.0855713141816245
320951932.982728586657.9131536013559330.30376663861560.920773758514936
421642016.6903544067514.204107341956725.10149357506640.845636642814966
523682140.4993399671421.800006815134743.15130170682411.26244008784519
620722130.1591196316019.8672794969790-2.25688091100772-0.379845280563682
725212261.3334919879725.86268096987161.19009551489151.34105053873475
818232136.3204132556818.3974008317198-39.423965567844-1.84325536953674
919472077.5142286189914.819540044996811.4327606166553-0.952552636611803
1022262126.3869630815716.319306892390836.43839553372870.423076534649782
1117542017.5107232980011.0227401364538-29.7753476532942-1.56298930805744
1217861944.169365211687.567255415007550.0449619722944906-1.05681731523340
1320721990.990090919084.20691014016583-16.16710472336390.710048144374171
1418461954.188398160442.45128100765119-44.1090784671614-0.45299504641554
1521372009.062084673914.9190467691873346.49790702426930.582329714445175
1624662159.9259935200211.144898508520264.53378281883911.70811593476162
1721542163.9053118031510.86806297985812.46546559649123-0.0867712600011075
1822892218.098866527112.4188735100711-5.757415679231320.535093639741788
1926282330.5852784613215.809850826556117.8115086772491.25006117520687
2020742281.1393035504713.6810739621624-89.0272948122377-0.820636891225523
2127982439.3495913560618.275313746458895.74821969953031.82465241401208
2221942371.6776787487915.5910108578911-20.8768197803889-1.08751312069146
2324422402.1008110494716.046871022389312.78585107872770.187936077363493
2425652464.6966075225317.362458955682914.70726128471800.591781327679578
2520632402.0414545873818.2262497356037-177.717587410971-1.16202972002217
2620692326.6527743298715.2896804840721-99.1994137369548-1.12764028825202
2725392389.4408105715117.05521436963471.98232487767170.559061662224207
2818982234.4863556497810.8855774559520-47.9633952541951-2.07263573808604
2921392203.888170781519.48167372399566.39970239554116-0.509872288447007
3024082275.6383758232611.490511089714723.7365582540780.77463554178737
3127252381.0922752535414.4206572437398178.5626012303721.17701918071131
3222012382.6391324647314.0281865425366-158.873148092259-0.161888137601245
3323112336.7577536476812.228347937205680.4821492963715-0.75498019042137
3425482409.9822064980314.041690932493929.67702805371850.769569425607615
3522762384.5075582180412.8870730139018-38.2198331649597-0.498952397018952
3623512368.5890262951612.119064612331933.8923124572294-0.364724296551222
3722802385.4228090064112.1738123286146-114.1750313547060.0633912775576905
3820572327.9425959889510.1614584059506-151.065283217200-0.861337316732986
3924792336.6680522539610.1134980330295144.722248268373-0.0173292191185292
4023792366.8621436716610.7826949329479-21.64302913124770.244871985749692
4122952360.0731609459110.2148201791189-35.0685691830888-0.216973648711578
4224562395.7300632213511.013160268360316.38057951713230.316754826213950
4325462395.6113802955110.6714660933779169.707030922128-0.139247368484586
4428442573.3969112935815.7247658343628-20.37917102946142.09580207960602
4522602488.9497636873112.7262446978074-54.2088309625798-1.25797540059087
4629812620.7610132066016.2589540615583152.2876597018141.49648733015764
4726782665.735656058517.095384275869-37.9250117311980.360960125513249
4834402893.8166180825322.839008243436176.5261102308002.65674965561724
4928422938.6865189435223.3039260859963-135.9731232082710.285899440905705
5024502862.1082608463220.436601228407-239.893831489386-1.24575796097112
5126692771.6873715951516.925465981250083.6828521885968-1.35570838740394
5225702720.3611043190114.7418390907276-35.2655862715918-0.838064950177667
5325402685.0285955435213.1628254858881-59.7967375329949-0.61983686308221
5423182581.092111733249.53422684537268-62.3421865883817-1.45797980804168
5529302645.2158478958511.2018569394381190.7934897678720.681986063803361
5629472742.3136574940913.798853242254756.44272210159411.07500750391916
5727992804.9578516989615.2642823010650-90.36182156025810.611829607801072
5826952753.5112814233213.279017223123356.8329688057498-0.83582675836851
5924982717.707033104911.8411970288735-134.821884037423-0.614846815481384
6022602538.595231663086.4811176834421851.8947803347048-2.39453214173193
6121602444.553695585243.91505879898997-108.927604101295-1.28159821299290
6220582381.705370759751.97750226012180-208.804096629078-0.834769491784797
6325332387.041718765142.08106806611763140.2796465968190.0413896400698018
6421502321.48386585283-0.0295257670351129-57.1638598374745-0.83428850609375
6521722280.31463812709-1.30568991996116-38.3765083462462-0.510109454238787
6621552265.23305283238-1.7288004246389-86.6928938143915-0.171541391207341
6730162432.572909235173.4170577072288293.5954617249562.11056718405261
6823332405.636008294082.49979619006629-20.5116395942459-0.37939309740531
6923552409.221036617442.53239547215348-56.08607667460490.0135704865723837
7028252504.089159992865.28732946332533162.1987227971451.15451019275586
7122142448.348194544633.48802114676725-129.483953671453-0.762654530428371
7223602395.470670157151.867324558157261.3812330177369-0.704925769813531
7322992388.720445655051.62873780590411-74.8265596620747-0.108848510766505
7417462262.59654976619-2.12063781186515-297.256858216115-1.59790282059093
7520692146.95076894006-5.57380209694953114.591506381698-1.40517554730947
7622672180.80053256943-4.3626014705293119.44581874409660.487744441805661
7718782105.38376152757-6.54164654893659-106.633113771674-0.882131294759222
7822662182.64700000811-3.98550420144873-59.60530003774851.04374403211719
7922822127.30570945422-5.54307626358428242.514255916826-0.640830163878807
8020852116.22022759429-5.71034662183146-21.7307155127993-0.0692189309974396
8122772181.08825270887-3.58981717229625-24.98150400694810.881584589889836
8222512149.46830874801-4.42757764030574149.535617282821-0.34998674507118
8318282082.93893196887-6.26835944877092-148.656071633200-0.774877496247055
8419542014.26624048412-8.0919415484933246.5110015635037-0.779185214010929
8518511962.56448749359-9.34674068712734-36.6427525560592-0.548010317868758
8615701913.9503117304-10.5086568322436-276.675434166961-0.490968361799109
8718521854.71095453821-11.980777000926980.0816850315142-0.604772216961945
8821871926.65477727655-9.42691385557034118.0500403463911.04044934941535
8918551942.19192299707-8.66730999875547-129.6149872529380.310207423429667
9022182029.56573811184-5.7533903467099324.76377228034181.19633064528540
9122532028.00783311825-5.62653891135796217.8286153519860.0523391431891837
9220282036.93750489552-5.18788624879428-33.81421009260950.181697849112385
9321692074.20116509741-3.9127545082271222.23739445439630.529862829729522
9419972001.13464696845-5.98202638660238114.01739906272-0.862665377193845
9520342036.44230017994-4.75329285654099-72.92968107378320.514710364202021
9617911946.62220650160-7.26467637208701-10.4273775533224-1.06114206637846
9716271851.54785805209-9.8405711001353-74.2157290592173-1.10015617688115
9816311852.15693140741-9.52971464220552-239.0289050457370.130581166644055
9923191966.09050293135-5.81293480165451142.9595791616021.53466733064561
10017071867.14913930592-8.63045763261929-2.10266222141391-1.15618207381797
10117471867.95037643218-8.34496784084239-136.9792095808390.117275995325598
10223972007.41238061928-3.87760144756737137.8552474284561.84135890111606
10320591969.15952661878-4.91439060864137148.475365143973-0.428757976994958
10422512056.93713581241-2.1248396301016635.84749371212041.15660545882873
10525582191.966495255931.99342062243652131.9332611205101.71102448419760
10624062233.479759718993.1769030338036105.1050672742380.492697820953331
10720492197.784413799262.01692405691674-82.5289336980783-0.4843128082832
10820742157.876509339140.771393894626389-12.4229404343499-0.522692009093206
10917342060.04507720472-2.15036893325859-157.596006541382-1.23315430640682

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 1856 & 1856 & 0 & 0 & 0 \tabularnewline
2 & 1834 & 1849.00677901170 & -0.866277322744983 & -2.24329946878328 & -0.0855713141816245 \tabularnewline
3 & 2095 & 1932.98272858665 & 7.91315360135593 & 30.3037666386156 & 0.920773758514936 \tabularnewline
4 & 2164 & 2016.69035440675 & 14.2041073419567 & 25.1014935750664 & 0.845636642814966 \tabularnewline
5 & 2368 & 2140.49933996714 & 21.8000068151347 & 43.1513017068241 & 1.26244008784519 \tabularnewline
6 & 2072 & 2130.15911963160 & 19.8672794969790 & -2.25688091100772 & -0.379845280563682 \tabularnewline
7 & 2521 & 2261.33349198797 & 25.862680969871 & 61.1900955148915 & 1.34105053873475 \tabularnewline
8 & 1823 & 2136.32041325568 & 18.3974008317198 & -39.423965567844 & -1.84325536953674 \tabularnewline
9 & 1947 & 2077.51422861899 & 14.8195400449968 & 11.4327606166553 & -0.952552636611803 \tabularnewline
10 & 2226 & 2126.38696308157 & 16.3193068923908 & 36.4383955337287 & 0.423076534649782 \tabularnewline
11 & 1754 & 2017.51072329800 & 11.0227401364538 & -29.7753476532942 & -1.56298930805744 \tabularnewline
12 & 1786 & 1944.16936521168 & 7.56725541500755 & 0.0449619722944906 & -1.05681731523340 \tabularnewline
13 & 2072 & 1990.99009091908 & 4.20691014016583 & -16.1671047233639 & 0.710048144374171 \tabularnewline
14 & 1846 & 1954.18839816044 & 2.45128100765119 & -44.1090784671614 & -0.45299504641554 \tabularnewline
15 & 2137 & 2009.06208467391 & 4.91904676918733 & 46.4979070242693 & 0.582329714445175 \tabularnewline
16 & 2466 & 2159.92599352002 & 11.1448985085202 & 64.5337828188391 & 1.70811593476162 \tabularnewline
17 & 2154 & 2163.90531180315 & 10.8680629798581 & 2.46546559649123 & -0.0867712600011075 \tabularnewline
18 & 2289 & 2218.0988665271 & 12.4188735100711 & -5.75741567923132 & 0.535093639741788 \tabularnewline
19 & 2628 & 2330.58527846132 & 15.809850826556 & 117.811508677249 & 1.25006117520687 \tabularnewline
20 & 2074 & 2281.13930355047 & 13.6810739621624 & -89.0272948122377 & -0.820636891225523 \tabularnewline
21 & 2798 & 2439.34959135606 & 18.2753137464588 & 95.7482196995303 & 1.82465241401208 \tabularnewline
22 & 2194 & 2371.67767874879 & 15.5910108578911 & -20.8768197803889 & -1.08751312069146 \tabularnewline
23 & 2442 & 2402.10081104947 & 16.0468710223893 & 12.7858510787277 & 0.187936077363493 \tabularnewline
24 & 2565 & 2464.69660752253 & 17.3624589556829 & 14.7072612847180 & 0.591781327679578 \tabularnewline
25 & 2063 & 2402.04145458738 & 18.2262497356037 & -177.717587410971 & -1.16202972002217 \tabularnewline
26 & 2069 & 2326.65277432987 & 15.2896804840721 & -99.1994137369548 & -1.12764028825202 \tabularnewline
27 & 2539 & 2389.44081057151 & 17.055214369634 & 71.9823248776717 & 0.559061662224207 \tabularnewline
28 & 1898 & 2234.48635564978 & 10.8855774559520 & -47.9633952541951 & -2.07263573808604 \tabularnewline
29 & 2139 & 2203.88817078151 & 9.4816737239956 & 6.39970239554116 & -0.509872288447007 \tabularnewline
30 & 2408 & 2275.63837582326 & 11.4905110897147 & 23.736558254078 & 0.77463554178737 \tabularnewline
31 & 2725 & 2381.09227525354 & 14.4206572437398 & 178.562601230372 & 1.17701918071131 \tabularnewline
32 & 2201 & 2382.63913246473 & 14.0281865425366 & -158.873148092259 & -0.161888137601245 \tabularnewline
33 & 2311 & 2336.75775364768 & 12.2283479372056 & 80.4821492963715 & -0.75498019042137 \tabularnewline
34 & 2548 & 2409.98220649803 & 14.0416909324939 & 29.6770280537185 & 0.769569425607615 \tabularnewline
35 & 2276 & 2384.50755821804 & 12.8870730139018 & -38.2198331649597 & -0.498952397018952 \tabularnewline
36 & 2351 & 2368.58902629516 & 12.1190646123319 & 33.8923124572294 & -0.364724296551222 \tabularnewline
37 & 2280 & 2385.42280900641 & 12.1738123286146 & -114.175031354706 & 0.0633912775576905 \tabularnewline
38 & 2057 & 2327.94259598895 & 10.1614584059506 & -151.065283217200 & -0.861337316732986 \tabularnewline
39 & 2479 & 2336.66805225396 & 10.1134980330295 & 144.722248268373 & -0.0173292191185292 \tabularnewline
40 & 2379 & 2366.86214367166 & 10.7826949329479 & -21.6430291312477 & 0.244871985749692 \tabularnewline
41 & 2295 & 2360.07316094591 & 10.2148201791189 & -35.0685691830888 & -0.216973648711578 \tabularnewline
42 & 2456 & 2395.73006322135 & 11.0131602683603 & 16.3805795171323 & 0.316754826213950 \tabularnewline
43 & 2546 & 2395.61138029551 & 10.6714660933779 & 169.707030922128 & -0.139247368484586 \tabularnewline
44 & 2844 & 2573.39691129358 & 15.7247658343628 & -20.3791710294614 & 2.09580207960602 \tabularnewline
45 & 2260 & 2488.94976368731 & 12.7262446978074 & -54.2088309625798 & -1.25797540059087 \tabularnewline
46 & 2981 & 2620.76101320660 & 16.2589540615583 & 152.287659701814 & 1.49648733015764 \tabularnewline
47 & 2678 & 2665.7356560585 & 17.095384275869 & -37.925011731198 & 0.360960125513249 \tabularnewline
48 & 3440 & 2893.81661808253 & 22.839008243436 & 176.526110230800 & 2.65674965561724 \tabularnewline
49 & 2842 & 2938.68651894352 & 23.3039260859963 & -135.973123208271 & 0.285899440905705 \tabularnewline
50 & 2450 & 2862.10826084632 & 20.436601228407 & -239.893831489386 & -1.24575796097112 \tabularnewline
51 & 2669 & 2771.68737159515 & 16.9254659812500 & 83.6828521885968 & -1.35570838740394 \tabularnewline
52 & 2570 & 2720.36110431901 & 14.7418390907276 & -35.2655862715918 & -0.838064950177667 \tabularnewline
53 & 2540 & 2685.02859554352 & 13.1628254858881 & -59.7967375329949 & -0.61983686308221 \tabularnewline
54 & 2318 & 2581.09211173324 & 9.53422684537268 & -62.3421865883817 & -1.45797980804168 \tabularnewline
55 & 2930 & 2645.21584789585 & 11.2018569394381 & 190.793489767872 & 0.681986063803361 \tabularnewline
56 & 2947 & 2742.31365749409 & 13.7988532422547 & 56.4427221015941 & 1.07500750391916 \tabularnewline
57 & 2799 & 2804.95785169896 & 15.2642823010650 & -90.3618215602581 & 0.611829607801072 \tabularnewline
58 & 2695 & 2753.51128142332 & 13.2790172231233 & 56.8329688057498 & -0.83582675836851 \tabularnewline
59 & 2498 & 2717.7070331049 & 11.8411970288735 & -134.821884037423 & -0.614846815481384 \tabularnewline
60 & 2260 & 2538.59523166308 & 6.48111768344218 & 51.8947803347048 & -2.39453214173193 \tabularnewline
61 & 2160 & 2444.55369558524 & 3.91505879898997 & -108.927604101295 & -1.28159821299290 \tabularnewline
62 & 2058 & 2381.70537075975 & 1.97750226012180 & -208.804096629078 & -0.834769491784797 \tabularnewline
63 & 2533 & 2387.04171876514 & 2.08106806611763 & 140.279646596819 & 0.0413896400698018 \tabularnewline
64 & 2150 & 2321.48386585283 & -0.0295257670351129 & -57.1638598374745 & -0.83428850609375 \tabularnewline
65 & 2172 & 2280.31463812709 & -1.30568991996116 & -38.3765083462462 & -0.510109454238787 \tabularnewline
66 & 2155 & 2265.23305283238 & -1.7288004246389 & -86.6928938143915 & -0.171541391207341 \tabularnewline
67 & 3016 & 2432.57290923517 & 3.4170577072288 & 293.595461724956 & 2.11056718405261 \tabularnewline
68 & 2333 & 2405.63600829408 & 2.49979619006629 & -20.5116395942459 & -0.37939309740531 \tabularnewline
69 & 2355 & 2409.22103661744 & 2.53239547215348 & -56.0860766746049 & 0.0135704865723837 \tabularnewline
70 & 2825 & 2504.08915999286 & 5.28732946332533 & 162.198722797145 & 1.15451019275586 \tabularnewline
71 & 2214 & 2448.34819454463 & 3.48802114676725 & -129.483953671453 & -0.762654530428371 \tabularnewline
72 & 2360 & 2395.47067015715 & 1.8673245581572 & 61.3812330177369 & -0.704925769813531 \tabularnewline
73 & 2299 & 2388.72044565505 & 1.62873780590411 & -74.8265596620747 & -0.108848510766505 \tabularnewline
74 & 1746 & 2262.59654976619 & -2.12063781186515 & -297.256858216115 & -1.59790282059093 \tabularnewline
75 & 2069 & 2146.95076894006 & -5.57380209694953 & 114.591506381698 & -1.40517554730947 \tabularnewline
76 & 2267 & 2180.80053256943 & -4.36260147052931 & 19.4458187440966 & 0.487744441805661 \tabularnewline
77 & 1878 & 2105.38376152757 & -6.54164654893659 & -106.633113771674 & -0.882131294759222 \tabularnewline
78 & 2266 & 2182.64700000811 & -3.98550420144873 & -59.6053000377485 & 1.04374403211719 \tabularnewline
79 & 2282 & 2127.30570945422 & -5.54307626358428 & 242.514255916826 & -0.640830163878807 \tabularnewline
80 & 2085 & 2116.22022759429 & -5.71034662183146 & -21.7307155127993 & -0.0692189309974396 \tabularnewline
81 & 2277 & 2181.08825270887 & -3.58981717229625 & -24.9815040069481 & 0.881584589889836 \tabularnewline
82 & 2251 & 2149.46830874801 & -4.42757764030574 & 149.535617282821 & -0.34998674507118 \tabularnewline
83 & 1828 & 2082.93893196887 & -6.26835944877092 & -148.656071633200 & -0.774877496247055 \tabularnewline
84 & 1954 & 2014.26624048412 & -8.09194154849332 & 46.5110015635037 & -0.779185214010929 \tabularnewline
85 & 1851 & 1962.56448749359 & -9.34674068712734 & -36.6427525560592 & -0.548010317868758 \tabularnewline
86 & 1570 & 1913.9503117304 & -10.5086568322436 & -276.675434166961 & -0.490968361799109 \tabularnewline
87 & 1852 & 1854.71095453821 & -11.9807770009269 & 80.0816850315142 & -0.604772216961945 \tabularnewline
88 & 2187 & 1926.65477727655 & -9.42691385557034 & 118.050040346391 & 1.04044934941535 \tabularnewline
89 & 1855 & 1942.19192299707 & -8.66730999875547 & -129.614987252938 & 0.310207423429667 \tabularnewline
90 & 2218 & 2029.56573811184 & -5.75339034670993 & 24.7637722803418 & 1.19633064528540 \tabularnewline
91 & 2253 & 2028.00783311825 & -5.62653891135796 & 217.828615351986 & 0.0523391431891837 \tabularnewline
92 & 2028 & 2036.93750489552 & -5.18788624879428 & -33.8142100926095 & 0.181697849112385 \tabularnewline
93 & 2169 & 2074.20116509741 & -3.91275450822712 & 22.2373944543963 & 0.529862829729522 \tabularnewline
94 & 1997 & 2001.13464696845 & -5.98202638660238 & 114.01739906272 & -0.862665377193845 \tabularnewline
95 & 2034 & 2036.44230017994 & -4.75329285654099 & -72.9296810737832 & 0.514710364202021 \tabularnewline
96 & 1791 & 1946.62220650160 & -7.26467637208701 & -10.4273775533224 & -1.06114206637846 \tabularnewline
97 & 1627 & 1851.54785805209 & -9.8405711001353 & -74.2157290592173 & -1.10015617688115 \tabularnewline
98 & 1631 & 1852.15693140741 & -9.52971464220552 & -239.028905045737 & 0.130581166644055 \tabularnewline
99 & 2319 & 1966.09050293135 & -5.81293480165451 & 142.959579161602 & 1.53466733064561 \tabularnewline
100 & 1707 & 1867.14913930592 & -8.63045763261929 & -2.10266222141391 & -1.15618207381797 \tabularnewline
101 & 1747 & 1867.95037643218 & -8.34496784084239 & -136.979209580839 & 0.117275995325598 \tabularnewline
102 & 2397 & 2007.41238061928 & -3.87760144756737 & 137.855247428456 & 1.84135890111606 \tabularnewline
103 & 2059 & 1969.15952661878 & -4.91439060864137 & 148.475365143973 & -0.428757976994958 \tabularnewline
104 & 2251 & 2056.93713581241 & -2.12483963010166 & 35.8474937121204 & 1.15660545882873 \tabularnewline
105 & 2558 & 2191.96649525593 & 1.99342062243652 & 131.933261120510 & 1.71102448419760 \tabularnewline
106 & 2406 & 2233.47975971899 & 3.1769030338036 & 105.105067274238 & 0.492697820953331 \tabularnewline
107 & 2049 & 2197.78441379926 & 2.01692405691674 & -82.5289336980783 & -0.4843128082832 \tabularnewline
108 & 2074 & 2157.87650933914 & 0.771393894626389 & -12.4229404343499 & -0.522692009093206 \tabularnewline
109 & 1734 & 2060.04507720472 & -2.15036893325859 & -157.596006541382 & -1.23315430640682 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110921&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]1856[/C][C]1856[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]1834[/C][C]1849.00677901170[/C][C]-0.866277322744983[/C][C]-2.24329946878328[/C][C]-0.0855713141816245[/C][/ROW]
[ROW][C]3[/C][C]2095[/C][C]1932.98272858665[/C][C]7.91315360135593[/C][C]30.3037666386156[/C][C]0.920773758514936[/C][/ROW]
[ROW][C]4[/C][C]2164[/C][C]2016.69035440675[/C][C]14.2041073419567[/C][C]25.1014935750664[/C][C]0.845636642814966[/C][/ROW]
[ROW][C]5[/C][C]2368[/C][C]2140.49933996714[/C][C]21.8000068151347[/C][C]43.1513017068241[/C][C]1.26244008784519[/C][/ROW]
[ROW][C]6[/C][C]2072[/C][C]2130.15911963160[/C][C]19.8672794969790[/C][C]-2.25688091100772[/C][C]-0.379845280563682[/C][/ROW]
[ROW][C]7[/C][C]2521[/C][C]2261.33349198797[/C][C]25.862680969871[/C][C]61.1900955148915[/C][C]1.34105053873475[/C][/ROW]
[ROW][C]8[/C][C]1823[/C][C]2136.32041325568[/C][C]18.3974008317198[/C][C]-39.423965567844[/C][C]-1.84325536953674[/C][/ROW]
[ROW][C]9[/C][C]1947[/C][C]2077.51422861899[/C][C]14.8195400449968[/C][C]11.4327606166553[/C][C]-0.952552636611803[/C][/ROW]
[ROW][C]10[/C][C]2226[/C][C]2126.38696308157[/C][C]16.3193068923908[/C][C]36.4383955337287[/C][C]0.423076534649782[/C][/ROW]
[ROW][C]11[/C][C]1754[/C][C]2017.51072329800[/C][C]11.0227401364538[/C][C]-29.7753476532942[/C][C]-1.56298930805744[/C][/ROW]
[ROW][C]12[/C][C]1786[/C][C]1944.16936521168[/C][C]7.56725541500755[/C][C]0.0449619722944906[/C][C]-1.05681731523340[/C][/ROW]
[ROW][C]13[/C][C]2072[/C][C]1990.99009091908[/C][C]4.20691014016583[/C][C]-16.1671047233639[/C][C]0.710048144374171[/C][/ROW]
[ROW][C]14[/C][C]1846[/C][C]1954.18839816044[/C][C]2.45128100765119[/C][C]-44.1090784671614[/C][C]-0.45299504641554[/C][/ROW]
[ROW][C]15[/C][C]2137[/C][C]2009.06208467391[/C][C]4.91904676918733[/C][C]46.4979070242693[/C][C]0.582329714445175[/C][/ROW]
[ROW][C]16[/C][C]2466[/C][C]2159.92599352002[/C][C]11.1448985085202[/C][C]64.5337828188391[/C][C]1.70811593476162[/C][/ROW]
[ROW][C]17[/C][C]2154[/C][C]2163.90531180315[/C][C]10.8680629798581[/C][C]2.46546559649123[/C][C]-0.0867712600011075[/C][/ROW]
[ROW][C]18[/C][C]2289[/C][C]2218.0988665271[/C][C]12.4188735100711[/C][C]-5.75741567923132[/C][C]0.535093639741788[/C][/ROW]
[ROW][C]19[/C][C]2628[/C][C]2330.58527846132[/C][C]15.809850826556[/C][C]117.811508677249[/C][C]1.25006117520687[/C][/ROW]
[ROW][C]20[/C][C]2074[/C][C]2281.13930355047[/C][C]13.6810739621624[/C][C]-89.0272948122377[/C][C]-0.820636891225523[/C][/ROW]
[ROW][C]21[/C][C]2798[/C][C]2439.34959135606[/C][C]18.2753137464588[/C][C]95.7482196995303[/C][C]1.82465241401208[/C][/ROW]
[ROW][C]22[/C][C]2194[/C][C]2371.67767874879[/C][C]15.5910108578911[/C][C]-20.8768197803889[/C][C]-1.08751312069146[/C][/ROW]
[ROW][C]23[/C][C]2442[/C][C]2402.10081104947[/C][C]16.0468710223893[/C][C]12.7858510787277[/C][C]0.187936077363493[/C][/ROW]
[ROW][C]24[/C][C]2565[/C][C]2464.69660752253[/C][C]17.3624589556829[/C][C]14.7072612847180[/C][C]0.591781327679578[/C][/ROW]
[ROW][C]25[/C][C]2063[/C][C]2402.04145458738[/C][C]18.2262497356037[/C][C]-177.717587410971[/C][C]-1.16202972002217[/C][/ROW]
[ROW][C]26[/C][C]2069[/C][C]2326.65277432987[/C][C]15.2896804840721[/C][C]-99.1994137369548[/C][C]-1.12764028825202[/C][/ROW]
[ROW][C]27[/C][C]2539[/C][C]2389.44081057151[/C][C]17.055214369634[/C][C]71.9823248776717[/C][C]0.559061662224207[/C][/ROW]
[ROW][C]28[/C][C]1898[/C][C]2234.48635564978[/C][C]10.8855774559520[/C][C]-47.9633952541951[/C][C]-2.07263573808604[/C][/ROW]
[ROW][C]29[/C][C]2139[/C][C]2203.88817078151[/C][C]9.4816737239956[/C][C]6.39970239554116[/C][C]-0.509872288447007[/C][/ROW]
[ROW][C]30[/C][C]2408[/C][C]2275.63837582326[/C][C]11.4905110897147[/C][C]23.736558254078[/C][C]0.77463554178737[/C][/ROW]
[ROW][C]31[/C][C]2725[/C][C]2381.09227525354[/C][C]14.4206572437398[/C][C]178.562601230372[/C][C]1.17701918071131[/C][/ROW]
[ROW][C]32[/C][C]2201[/C][C]2382.63913246473[/C][C]14.0281865425366[/C][C]-158.873148092259[/C][C]-0.161888137601245[/C][/ROW]
[ROW][C]33[/C][C]2311[/C][C]2336.75775364768[/C][C]12.2283479372056[/C][C]80.4821492963715[/C][C]-0.75498019042137[/C][/ROW]
[ROW][C]34[/C][C]2548[/C][C]2409.98220649803[/C][C]14.0416909324939[/C][C]29.6770280537185[/C][C]0.769569425607615[/C][/ROW]
[ROW][C]35[/C][C]2276[/C][C]2384.50755821804[/C][C]12.8870730139018[/C][C]-38.2198331649597[/C][C]-0.498952397018952[/C][/ROW]
[ROW][C]36[/C][C]2351[/C][C]2368.58902629516[/C][C]12.1190646123319[/C][C]33.8923124572294[/C][C]-0.364724296551222[/C][/ROW]
[ROW][C]37[/C][C]2280[/C][C]2385.42280900641[/C][C]12.1738123286146[/C][C]-114.175031354706[/C][C]0.0633912775576905[/C][/ROW]
[ROW][C]38[/C][C]2057[/C][C]2327.94259598895[/C][C]10.1614584059506[/C][C]-151.065283217200[/C][C]-0.861337316732986[/C][/ROW]
[ROW][C]39[/C][C]2479[/C][C]2336.66805225396[/C][C]10.1134980330295[/C][C]144.722248268373[/C][C]-0.0173292191185292[/C][/ROW]
[ROW][C]40[/C][C]2379[/C][C]2366.86214367166[/C][C]10.7826949329479[/C][C]-21.6430291312477[/C][C]0.244871985749692[/C][/ROW]
[ROW][C]41[/C][C]2295[/C][C]2360.07316094591[/C][C]10.2148201791189[/C][C]-35.0685691830888[/C][C]-0.216973648711578[/C][/ROW]
[ROW][C]42[/C][C]2456[/C][C]2395.73006322135[/C][C]11.0131602683603[/C][C]16.3805795171323[/C][C]0.316754826213950[/C][/ROW]
[ROW][C]43[/C][C]2546[/C][C]2395.61138029551[/C][C]10.6714660933779[/C][C]169.707030922128[/C][C]-0.139247368484586[/C][/ROW]
[ROW][C]44[/C][C]2844[/C][C]2573.39691129358[/C][C]15.7247658343628[/C][C]-20.3791710294614[/C][C]2.09580207960602[/C][/ROW]
[ROW][C]45[/C][C]2260[/C][C]2488.94976368731[/C][C]12.7262446978074[/C][C]-54.2088309625798[/C][C]-1.25797540059087[/C][/ROW]
[ROW][C]46[/C][C]2981[/C][C]2620.76101320660[/C][C]16.2589540615583[/C][C]152.287659701814[/C][C]1.49648733015764[/C][/ROW]
[ROW][C]47[/C][C]2678[/C][C]2665.7356560585[/C][C]17.095384275869[/C][C]-37.925011731198[/C][C]0.360960125513249[/C][/ROW]
[ROW][C]48[/C][C]3440[/C][C]2893.81661808253[/C][C]22.839008243436[/C][C]176.526110230800[/C][C]2.65674965561724[/C][/ROW]
[ROW][C]49[/C][C]2842[/C][C]2938.68651894352[/C][C]23.3039260859963[/C][C]-135.973123208271[/C][C]0.285899440905705[/C][/ROW]
[ROW][C]50[/C][C]2450[/C][C]2862.10826084632[/C][C]20.436601228407[/C][C]-239.893831489386[/C][C]-1.24575796097112[/C][/ROW]
[ROW][C]51[/C][C]2669[/C][C]2771.68737159515[/C][C]16.9254659812500[/C][C]83.6828521885968[/C][C]-1.35570838740394[/C][/ROW]
[ROW][C]52[/C][C]2570[/C][C]2720.36110431901[/C][C]14.7418390907276[/C][C]-35.2655862715918[/C][C]-0.838064950177667[/C][/ROW]
[ROW][C]53[/C][C]2540[/C][C]2685.02859554352[/C][C]13.1628254858881[/C][C]-59.7967375329949[/C][C]-0.61983686308221[/C][/ROW]
[ROW][C]54[/C][C]2318[/C][C]2581.09211173324[/C][C]9.53422684537268[/C][C]-62.3421865883817[/C][C]-1.45797980804168[/C][/ROW]
[ROW][C]55[/C][C]2930[/C][C]2645.21584789585[/C][C]11.2018569394381[/C][C]190.793489767872[/C][C]0.681986063803361[/C][/ROW]
[ROW][C]56[/C][C]2947[/C][C]2742.31365749409[/C][C]13.7988532422547[/C][C]56.4427221015941[/C][C]1.07500750391916[/C][/ROW]
[ROW][C]57[/C][C]2799[/C][C]2804.95785169896[/C][C]15.2642823010650[/C][C]-90.3618215602581[/C][C]0.611829607801072[/C][/ROW]
[ROW][C]58[/C][C]2695[/C][C]2753.51128142332[/C][C]13.2790172231233[/C][C]56.8329688057498[/C][C]-0.83582675836851[/C][/ROW]
[ROW][C]59[/C][C]2498[/C][C]2717.7070331049[/C][C]11.8411970288735[/C][C]-134.821884037423[/C][C]-0.614846815481384[/C][/ROW]
[ROW][C]60[/C][C]2260[/C][C]2538.59523166308[/C][C]6.48111768344218[/C][C]51.8947803347048[/C][C]-2.39453214173193[/C][/ROW]
[ROW][C]61[/C][C]2160[/C][C]2444.55369558524[/C][C]3.91505879898997[/C][C]-108.927604101295[/C][C]-1.28159821299290[/C][/ROW]
[ROW][C]62[/C][C]2058[/C][C]2381.70537075975[/C][C]1.97750226012180[/C][C]-208.804096629078[/C][C]-0.834769491784797[/C][/ROW]
[ROW][C]63[/C][C]2533[/C][C]2387.04171876514[/C][C]2.08106806611763[/C][C]140.279646596819[/C][C]0.0413896400698018[/C][/ROW]
[ROW][C]64[/C][C]2150[/C][C]2321.48386585283[/C][C]-0.0295257670351129[/C][C]-57.1638598374745[/C][C]-0.83428850609375[/C][/ROW]
[ROW][C]65[/C][C]2172[/C][C]2280.31463812709[/C][C]-1.30568991996116[/C][C]-38.3765083462462[/C][C]-0.510109454238787[/C][/ROW]
[ROW][C]66[/C][C]2155[/C][C]2265.23305283238[/C][C]-1.7288004246389[/C][C]-86.6928938143915[/C][C]-0.171541391207341[/C][/ROW]
[ROW][C]67[/C][C]3016[/C][C]2432.57290923517[/C][C]3.4170577072288[/C][C]293.595461724956[/C][C]2.11056718405261[/C][/ROW]
[ROW][C]68[/C][C]2333[/C][C]2405.63600829408[/C][C]2.49979619006629[/C][C]-20.5116395942459[/C][C]-0.37939309740531[/C][/ROW]
[ROW][C]69[/C][C]2355[/C][C]2409.22103661744[/C][C]2.53239547215348[/C][C]-56.0860766746049[/C][C]0.0135704865723837[/C][/ROW]
[ROW][C]70[/C][C]2825[/C][C]2504.08915999286[/C][C]5.28732946332533[/C][C]162.198722797145[/C][C]1.15451019275586[/C][/ROW]
[ROW][C]71[/C][C]2214[/C][C]2448.34819454463[/C][C]3.48802114676725[/C][C]-129.483953671453[/C][C]-0.762654530428371[/C][/ROW]
[ROW][C]72[/C][C]2360[/C][C]2395.47067015715[/C][C]1.8673245581572[/C][C]61.3812330177369[/C][C]-0.704925769813531[/C][/ROW]
[ROW][C]73[/C][C]2299[/C][C]2388.72044565505[/C][C]1.62873780590411[/C][C]-74.8265596620747[/C][C]-0.108848510766505[/C][/ROW]
[ROW][C]74[/C][C]1746[/C][C]2262.59654976619[/C][C]-2.12063781186515[/C][C]-297.256858216115[/C][C]-1.59790282059093[/C][/ROW]
[ROW][C]75[/C][C]2069[/C][C]2146.95076894006[/C][C]-5.57380209694953[/C][C]114.591506381698[/C][C]-1.40517554730947[/C][/ROW]
[ROW][C]76[/C][C]2267[/C][C]2180.80053256943[/C][C]-4.36260147052931[/C][C]19.4458187440966[/C][C]0.487744441805661[/C][/ROW]
[ROW][C]77[/C][C]1878[/C][C]2105.38376152757[/C][C]-6.54164654893659[/C][C]-106.633113771674[/C][C]-0.882131294759222[/C][/ROW]
[ROW][C]78[/C][C]2266[/C][C]2182.64700000811[/C][C]-3.98550420144873[/C][C]-59.6053000377485[/C][C]1.04374403211719[/C][/ROW]
[ROW][C]79[/C][C]2282[/C][C]2127.30570945422[/C][C]-5.54307626358428[/C][C]242.514255916826[/C][C]-0.640830163878807[/C][/ROW]
[ROW][C]80[/C][C]2085[/C][C]2116.22022759429[/C][C]-5.71034662183146[/C][C]-21.7307155127993[/C][C]-0.0692189309974396[/C][/ROW]
[ROW][C]81[/C][C]2277[/C][C]2181.08825270887[/C][C]-3.58981717229625[/C][C]-24.9815040069481[/C][C]0.881584589889836[/C][/ROW]
[ROW][C]82[/C][C]2251[/C][C]2149.46830874801[/C][C]-4.42757764030574[/C][C]149.535617282821[/C][C]-0.34998674507118[/C][/ROW]
[ROW][C]83[/C][C]1828[/C][C]2082.93893196887[/C][C]-6.26835944877092[/C][C]-148.656071633200[/C][C]-0.774877496247055[/C][/ROW]
[ROW][C]84[/C][C]1954[/C][C]2014.26624048412[/C][C]-8.09194154849332[/C][C]46.5110015635037[/C][C]-0.779185214010929[/C][/ROW]
[ROW][C]85[/C][C]1851[/C][C]1962.56448749359[/C][C]-9.34674068712734[/C][C]-36.6427525560592[/C][C]-0.548010317868758[/C][/ROW]
[ROW][C]86[/C][C]1570[/C][C]1913.9503117304[/C][C]-10.5086568322436[/C][C]-276.675434166961[/C][C]-0.490968361799109[/C][/ROW]
[ROW][C]87[/C][C]1852[/C][C]1854.71095453821[/C][C]-11.9807770009269[/C][C]80.0816850315142[/C][C]-0.604772216961945[/C][/ROW]
[ROW][C]88[/C][C]2187[/C][C]1926.65477727655[/C][C]-9.42691385557034[/C][C]118.050040346391[/C][C]1.04044934941535[/C][/ROW]
[ROW][C]89[/C][C]1855[/C][C]1942.19192299707[/C][C]-8.66730999875547[/C][C]-129.614987252938[/C][C]0.310207423429667[/C][/ROW]
[ROW][C]90[/C][C]2218[/C][C]2029.56573811184[/C][C]-5.75339034670993[/C][C]24.7637722803418[/C][C]1.19633064528540[/C][/ROW]
[ROW][C]91[/C][C]2253[/C][C]2028.00783311825[/C][C]-5.62653891135796[/C][C]217.828615351986[/C][C]0.0523391431891837[/C][/ROW]
[ROW][C]92[/C][C]2028[/C][C]2036.93750489552[/C][C]-5.18788624879428[/C][C]-33.8142100926095[/C][C]0.181697849112385[/C][/ROW]
[ROW][C]93[/C][C]2169[/C][C]2074.20116509741[/C][C]-3.91275450822712[/C][C]22.2373944543963[/C][C]0.529862829729522[/C][/ROW]
[ROW][C]94[/C][C]1997[/C][C]2001.13464696845[/C][C]-5.98202638660238[/C][C]114.01739906272[/C][C]-0.862665377193845[/C][/ROW]
[ROW][C]95[/C][C]2034[/C][C]2036.44230017994[/C][C]-4.75329285654099[/C][C]-72.9296810737832[/C][C]0.514710364202021[/C][/ROW]
[ROW][C]96[/C][C]1791[/C][C]1946.62220650160[/C][C]-7.26467637208701[/C][C]-10.4273775533224[/C][C]-1.06114206637846[/C][/ROW]
[ROW][C]97[/C][C]1627[/C][C]1851.54785805209[/C][C]-9.8405711001353[/C][C]-74.2157290592173[/C][C]-1.10015617688115[/C][/ROW]
[ROW][C]98[/C][C]1631[/C][C]1852.15693140741[/C][C]-9.52971464220552[/C][C]-239.028905045737[/C][C]0.130581166644055[/C][/ROW]
[ROW][C]99[/C][C]2319[/C][C]1966.09050293135[/C][C]-5.81293480165451[/C][C]142.959579161602[/C][C]1.53466733064561[/C][/ROW]
[ROW][C]100[/C][C]1707[/C][C]1867.14913930592[/C][C]-8.63045763261929[/C][C]-2.10266222141391[/C][C]-1.15618207381797[/C][/ROW]
[ROW][C]101[/C][C]1747[/C][C]1867.95037643218[/C][C]-8.34496784084239[/C][C]-136.979209580839[/C][C]0.117275995325598[/C][/ROW]
[ROW][C]102[/C][C]2397[/C][C]2007.41238061928[/C][C]-3.87760144756737[/C][C]137.855247428456[/C][C]1.84135890111606[/C][/ROW]
[ROW][C]103[/C][C]2059[/C][C]1969.15952661878[/C][C]-4.91439060864137[/C][C]148.475365143973[/C][C]-0.428757976994958[/C][/ROW]
[ROW][C]104[/C][C]2251[/C][C]2056.93713581241[/C][C]-2.12483963010166[/C][C]35.8474937121204[/C][C]1.15660545882873[/C][/ROW]
[ROW][C]105[/C][C]2558[/C][C]2191.96649525593[/C][C]1.99342062243652[/C][C]131.933261120510[/C][C]1.71102448419760[/C][/ROW]
[ROW][C]106[/C][C]2406[/C][C]2233.47975971899[/C][C]3.1769030338036[/C][C]105.105067274238[/C][C]0.492697820953331[/C][/ROW]
[ROW][C]107[/C][C]2049[/C][C]2197.78441379926[/C][C]2.01692405691674[/C][C]-82.5289336980783[/C][C]-0.4843128082832[/C][/ROW]
[ROW][C]108[/C][C]2074[/C][C]2157.87650933914[/C][C]0.771393894626389[/C][C]-12.4229404343499[/C][C]-0.522692009093206[/C][/ROW]
[ROW][C]109[/C][C]1734[/C][C]2060.04507720472[/C][C]-2.15036893325859[/C][C]-157.596006541382[/C][C]-1.23315430640682[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110921&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110921&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
118561856000
218341849.00677901170-0.866277322744983-2.24329946878328-0.0855713141816245
320951932.982728586657.9131536013559330.30376663861560.920773758514936
421642016.6903544067514.204107341956725.10149357506640.845636642814966
523682140.4993399671421.800006815134743.15130170682411.26244008784519
620722130.1591196316019.8672794969790-2.25688091100772-0.379845280563682
725212261.3334919879725.86268096987161.19009551489151.34105053873475
818232136.3204132556818.3974008317198-39.423965567844-1.84325536953674
919472077.5142286189914.819540044996811.4327606166553-0.952552636611803
1022262126.3869630815716.319306892390836.43839553372870.423076534649782
1117542017.5107232980011.0227401364538-29.7753476532942-1.56298930805744
1217861944.169365211687.567255415007550.0449619722944906-1.05681731523340
1320721990.990090919084.20691014016583-16.16710472336390.710048144374171
1418461954.188398160442.45128100765119-44.1090784671614-0.45299504641554
1521372009.062084673914.9190467691873346.49790702426930.582329714445175
1624662159.9259935200211.144898508520264.53378281883911.70811593476162
1721542163.9053118031510.86806297985812.46546559649123-0.0867712600011075
1822892218.098866527112.4188735100711-5.757415679231320.535093639741788
1926282330.5852784613215.809850826556117.8115086772491.25006117520687
2020742281.1393035504713.6810739621624-89.0272948122377-0.820636891225523
2127982439.3495913560618.275313746458895.74821969953031.82465241401208
2221942371.6776787487915.5910108578911-20.8768197803889-1.08751312069146
2324422402.1008110494716.046871022389312.78585107872770.187936077363493
2425652464.6966075225317.362458955682914.70726128471800.591781327679578
2520632402.0414545873818.2262497356037-177.717587410971-1.16202972002217
2620692326.6527743298715.2896804840721-99.1994137369548-1.12764028825202
2725392389.4408105715117.05521436963471.98232487767170.559061662224207
2818982234.4863556497810.8855774559520-47.9633952541951-2.07263573808604
2921392203.888170781519.48167372399566.39970239554116-0.509872288447007
3024082275.6383758232611.490511089714723.7365582540780.77463554178737
3127252381.0922752535414.4206572437398178.5626012303721.17701918071131
3222012382.6391324647314.0281865425366-158.873148092259-0.161888137601245
3323112336.7577536476812.228347937205680.4821492963715-0.75498019042137
3425482409.9822064980314.041690932493929.67702805371850.769569425607615
3522762384.5075582180412.8870730139018-38.2198331649597-0.498952397018952
3623512368.5890262951612.119064612331933.8923124572294-0.364724296551222
3722802385.4228090064112.1738123286146-114.1750313547060.0633912775576905
3820572327.9425959889510.1614584059506-151.065283217200-0.861337316732986
3924792336.6680522539610.1134980330295144.722248268373-0.0173292191185292
4023792366.8621436716610.7826949329479-21.64302913124770.244871985749692
4122952360.0731609459110.2148201791189-35.0685691830888-0.216973648711578
4224562395.7300632213511.013160268360316.38057951713230.316754826213950
4325462395.6113802955110.6714660933779169.707030922128-0.139247368484586
4428442573.3969112935815.7247658343628-20.37917102946142.09580207960602
4522602488.9497636873112.7262446978074-54.2088309625798-1.25797540059087
4629812620.7610132066016.2589540615583152.2876597018141.49648733015764
4726782665.735656058517.095384275869-37.9250117311980.360960125513249
4834402893.8166180825322.839008243436176.5261102308002.65674965561724
4928422938.6865189435223.3039260859963-135.9731232082710.285899440905705
5024502862.1082608463220.436601228407-239.893831489386-1.24575796097112
5126692771.6873715951516.925465981250083.6828521885968-1.35570838740394
5225702720.3611043190114.7418390907276-35.2655862715918-0.838064950177667
5325402685.0285955435213.1628254858881-59.7967375329949-0.61983686308221
5423182581.092111733249.53422684537268-62.3421865883817-1.45797980804168
5529302645.2158478958511.2018569394381190.7934897678720.681986063803361
5629472742.3136574940913.798853242254756.44272210159411.07500750391916
5727992804.9578516989615.2642823010650-90.36182156025810.611829607801072
5826952753.5112814233213.279017223123356.8329688057498-0.83582675836851
5924982717.707033104911.8411970288735-134.821884037423-0.614846815481384
6022602538.595231663086.4811176834421851.8947803347048-2.39453214173193
6121602444.553695585243.91505879898997-108.927604101295-1.28159821299290
6220582381.705370759751.97750226012180-208.804096629078-0.834769491784797
6325332387.041718765142.08106806611763140.2796465968190.0413896400698018
6421502321.48386585283-0.0295257670351129-57.1638598374745-0.83428850609375
6521722280.31463812709-1.30568991996116-38.3765083462462-0.510109454238787
6621552265.23305283238-1.7288004246389-86.6928938143915-0.171541391207341
6730162432.572909235173.4170577072288293.5954617249562.11056718405261
6823332405.636008294082.49979619006629-20.5116395942459-0.37939309740531
6923552409.221036617442.53239547215348-56.08607667460490.0135704865723837
7028252504.089159992865.28732946332533162.1987227971451.15451019275586
7122142448.348194544633.48802114676725-129.483953671453-0.762654530428371
7223602395.470670157151.867324558157261.3812330177369-0.704925769813531
7322992388.720445655051.62873780590411-74.8265596620747-0.108848510766505
7417462262.59654976619-2.12063781186515-297.256858216115-1.59790282059093
7520692146.95076894006-5.57380209694953114.591506381698-1.40517554730947
7622672180.80053256943-4.3626014705293119.44581874409660.487744441805661
7718782105.38376152757-6.54164654893659-106.633113771674-0.882131294759222
7822662182.64700000811-3.98550420144873-59.60530003774851.04374403211719
7922822127.30570945422-5.54307626358428242.514255916826-0.640830163878807
8020852116.22022759429-5.71034662183146-21.7307155127993-0.0692189309974396
8122772181.08825270887-3.58981717229625-24.98150400694810.881584589889836
8222512149.46830874801-4.42757764030574149.535617282821-0.34998674507118
8318282082.93893196887-6.26835944877092-148.656071633200-0.774877496247055
8419542014.26624048412-8.0919415484933246.5110015635037-0.779185214010929
8518511962.56448749359-9.34674068712734-36.6427525560592-0.548010317868758
8615701913.9503117304-10.5086568322436-276.675434166961-0.490968361799109
8718521854.71095453821-11.980777000926980.0816850315142-0.604772216961945
8821871926.65477727655-9.42691385557034118.0500403463911.04044934941535
8918551942.19192299707-8.66730999875547-129.6149872529380.310207423429667
9022182029.56573811184-5.7533903467099324.76377228034181.19633064528540
9122532028.00783311825-5.62653891135796217.8286153519860.0523391431891837
9220282036.93750489552-5.18788624879428-33.81421009260950.181697849112385
9321692074.20116509741-3.9127545082271222.23739445439630.529862829729522
9419972001.13464696845-5.98202638660238114.01739906272-0.862665377193845
9520342036.44230017994-4.75329285654099-72.92968107378320.514710364202021
9617911946.62220650160-7.26467637208701-10.4273775533224-1.06114206637846
9716271851.54785805209-9.8405711001353-74.2157290592173-1.10015617688115
9816311852.15693140741-9.52971464220552-239.0289050457370.130581166644055
9923191966.09050293135-5.81293480165451142.9595791616021.53466733064561
10017071867.14913930592-8.63045763261929-2.10266222141391-1.15618207381797
10117471867.95037643218-8.34496784084239-136.9792095808390.117275995325598
10223972007.41238061928-3.87760144756737137.8552474284561.84135890111606
10320591969.15952661878-4.91439060864137148.475365143973-0.428757976994958
10422512056.93713581241-2.1248396301016635.84749371212041.15660545882873
10525582191.966495255931.99342062243652131.9332611205101.71102448419760
10624062233.479759718993.1769030338036105.1050672742380.492697820953331
10720492197.784413799262.01692405691674-82.5289336980783-0.4843128082832
10820742157.876509339140.771393894626389-12.4229404343499-0.522692009093206
10917342060.04507720472-2.15036893325859-157.596006541382-1.23315430640682



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ; par2 = ; par3 = ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')