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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, 07 Dec 2009 15:48:25 -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/07/t12602261623sm3szhvivf8hxx.htm/, Retrieved Sat, 04 May 2024 20:02:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64658, Retrieved Sat, 04 May 2024 20:02:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsStructural Time Series Models
Estimated Impact122
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]
-    D      [Structural Time Series Models] [Structural Time S...] [2009-12-07 22:48:25] [52b85b290d6f50b0921ad6729b8a5af2] [Current]
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Dataseries X:
220206
220115
218444
214912
210705
209673
237041
242081
241878
242621
238545
240337
244752
244576
241572
240541
236089
236997
264579
270349
269645
267037
258113
262813
267413
267366
264777
258863
254844
254868
277267
285351
286602
283042
276687
277915
277128
277103
275037
270150
267140
264993
287259
291186
292300
288186
281477
282656
280190
280408
276836
275216
274352
271311
289802
290726
292300
278506
269826
265861
269034
264176
255198
253353
246057
235372
258556
260993
254663
250643
243422
247105
248541
245039
237080
237085
225554
226839
247934
248333
246969
245098
246263
255765
264319
268347
273046
273963
267430
271993
292710
295881
293299
288576




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64658&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64658&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64658&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

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







Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1220206220206000
2220115220151.947561343-57.105956069184-36.9475613429499-0.0241578908683742
3218444218884.832710419-825.237855151883-440.832710418858-0.257968044864550
4214912215807.635089226-2313.37718911019-895.6350892258-0.527721428071982
5210705211283.377214379-3774.90936620938-578.377214378565-0.479226635424588
6209673208881.96866542-2884.886369516791.0313345801440.293510621151455
7237041228413.50729120111674.11624824068627.492708799264.82514873367526
8242081243632.84489822713982.9247329545-1551.844898226550.763704401832559
9241878246732.2439687096892.89399700677-4854.24396870908-2.34470007420332
10242621244809.281166151150.94170799541-2188.28116614989-1.89908005699550
11238545239904.48547557-2792.34611975729-1359.48547556992-1.30415484917333
12240337238931.777842675-1607.583554731001405.222157324990.391831081100997
13244752242658.7198401581852.959619138642093.280159842471.14900380079447
14244576244677.8495821231961.25480932071-101.8495821234060.0364069440670138
15241572242094.817409794-924.33898095333-522.817409794261-0.945829032128195
16240541239259.420223356-2118.810994376881281.57977664350-0.40053041610154
17236089237147.009246986-2114.75867793284-1058.009246986400.00135060985011902
18236997242297.9250452592460.46145689813-5300.925045258741.50664286547255
19264579254795.2533541488746.131040220089783.746645852432.07748339526408
20270349267772.90530332711400.28634778102576.09469667280.87860459636238
21269645273762.9724327738001.5633362573-4117.97243277296-1.12407224299349
22267037270811.5887986171119.49118215211-3774.58879861729-2.27607867707033
23258113263028.443330783-4471.29014092542-4915.44333078321-1.84911114869343
24262813261672.552954001-2517.204506221561140.447045999200.646608876382176
25267413263694.834714795330.9981852313793718.165285204520.945007737571297
26267366265008.563021343948.4388606389962357.43697865690.204561220854836
27264777264104.939732210-206.068971212011672.060267789575-0.380643411426417
28258863258737.122490497-3404.43215604157125.877509502864-1.06137009388874
29254844257664.911934918-1952.28530881217-2820.9119349180.482682294448132
30254868262613.7821667262347.54295820549-7745.782166725991.42071120739347
31277267269030.0377056884873.295488964078236.962294312050.83397540008689
32285351279099.4297172258096.831403313576251.570282774791.06620121409361
33286602286654.9988949657760.65485853806-52.9988949654144-0.111202917135502
34283042286469.7543992012823.21138281052-3427.75439920139-1.63296438615244
35276687284431.267887248-196.634488030494-7744.26788724804-0.998871775327268
36277915280209.941286073-2695.76440348411-2294.94128607324-0.827219284042565
37277128274662.903502512-4467.682544714052465.09649748757-0.586966422333203
38277103272191.034043496-3227.636414032064911.96595650440.410087234379275
39275037270967.602949350-1987.373279350464069.397050649730.409571799619892
40270150270146.799993162-1267.411956889913.200006838248380.238446656662148
41267140271477.918684309339.845263588217-4337.918684309270.53310467720651
42264993274189.7630761741808.96867566131-9196.763076174050.486008904553596
43287259280282.3737594834457.470270698496976.626240517140.874882867546938
44291186285196.9748446354739.748207411935989.025155365270.0933112628916727
45292300289682.0998378514582.480683723112617.90016214859-0.0520160290744053
46288186291018.1321385962576.57305337064-2832.13213859644-0.663516900184109
47281477289001.116672355-261.713807785126-7524.11667235522-0.93904242071879
48282656284947.388112201-2605.23589926443-2291.38811220076-0.775685943000199
49280190279282.544137391-4497.20050282367907.45586260913-0.626181624029428
50280408275442.358122193-4091.178573530714965.641877806730.134220052351034
51276836272488.48132049-3390.094594606524347.518679510200.231660115571597
52275216274046.018825338-344.6045240954291169.981174661711.00804906563687
53274352278283.790377472479.59117482337-3931.790377469880.935797187822265
54271311282128.8621404933322.15763959838-10817.86214049310.278826417869663
55289802284067.2607956322468.995370789495734.73920436849-0.281959040822644
56290726285400.4259756541769.577909370265325.57402434617-0.231164278915934
57292300288233.1236118952423.962908628894066.876388104830.216402825998896
58278506282792.322991091-2417.77686281426-4286.3229910909-1.60175727125959
59269826276479.159996527-4816.5113818281-6653.15999652672-0.79377699727771
60265861267887.661453307-7142.15368993512-2026.66145330681-0.769699633530674
61269034265705.385787276-4085.541610843213328.614212723691.01121325919332
62264176260408.221499890-4831.668830450083767.77850010972-0.246629111376303
63255198253481.744716514-6119.423399651021716.25528348597-0.425634405871612
64253353252071.997462188-3226.829300777461281.002537812360.957208783067707
65246057250421.130360352-2258.0893904175-4364.130360352040.320827585888107
66235372246662.910193551-3181.1115861402-11290.9101935510-0.305468682572277
67258556250312.1265525451019.976643129308243.873447455341.38881791005744
68260993255167.5911805503376.416261964565825.408819450260.778828074810524
69254663250705.812578547-1435.798463825313957.18742145281-1.59121978123962
70250643251538.340040763-43.2226585710357-895.3400407629830.460719772320593
71243422249883.725968071-1032.87649947438-6461.72596807086-0.327525653689344
72247105250235.144316805-182.240937093511-3130.144316804890.281506885416021
73248541246019.043699973-2661.427900249072521.95630002731-0.820018267294366
74245039241029.604878746-4091.124377364754009.39512125386-0.472581702373198
75237080236849.355489554-4145.78554897385230.644510445671-0.0180695605610081
76237085235047.703499156-2708.996568793912037.296500843920.475399087899224
77225554230583.823851440-3785.29650494648-5029.82385143955-0.35634510597235
78226839237077.3585575412523.95829881631-10238.35855754062.08795128167729
79247934241031.9115832773401.915762452426902.088416723150.290288509152947
80248333240984.1690012941286.892241921287348.83099870631-0.699075647119443
81246969243287.3014139091909.453771502783681.698586091220.205848112758371
82245098245746.1456974832245.96768923106-648.1456974833180.111332515081609
83246263251809.7951642014585.36704998856-5546.795164200710.77424331249251
84255765257149.461872225047.84083996436-1384.461872220210.153040188435924
85264319261069.2582793054356.160080261553249.74172069465-0.228759466745436
86268347264329.9845132653684.963141417054017.01548673516-0.221869429510257
87273046271645.4572365625907.046188109271400.542763438170.734628693754829
88273963273610.2860322833495.28633470969352.713967717219-0.797932356444467
89267430276480.2961273083112.5612259563-9050.29612730787-0.126689952964128
90271993281671.6561361844385.83631050951-9678.656136183610.421347929455546
91292710284933.8448701953697.654355295597776.15512980473-0.227562193110791
92295881288619.798811853690.494316052927261.20118815018-0.00236675304644896
93293299290654.7198211552678.193928730282644.28017884468-0.334710134743844
94288576291400.8397184851497.06521423281-2824.83971848502-0.390756492252324

\begin{tabular}{lllllllll}
\hline
Structural Time Series Model \tabularnewline
t & Observed & Level & Slope & Seasonal & Stand. Residuals \tabularnewline
1 & 220206 & 220206 & 0 & 0 & 0 \tabularnewline
2 & 220115 & 220151.947561343 & -57.105956069184 & -36.9475613429499 & -0.0241578908683742 \tabularnewline
3 & 218444 & 218884.832710419 & -825.237855151883 & -440.832710418858 & -0.257968044864550 \tabularnewline
4 & 214912 & 215807.635089226 & -2313.37718911019 & -895.6350892258 & -0.527721428071982 \tabularnewline
5 & 210705 & 211283.377214379 & -3774.90936620938 & -578.377214378565 & -0.479226635424588 \tabularnewline
6 & 209673 & 208881.96866542 & -2884.886369516 & 791.031334580144 & 0.293510621151455 \tabularnewline
7 & 237041 & 228413.507291201 & 11674.1162482406 & 8627.49270879926 & 4.82514873367526 \tabularnewline
8 & 242081 & 243632.844898227 & 13982.9247329545 & -1551.84489822655 & 0.763704401832559 \tabularnewline
9 & 241878 & 246732.243968709 & 6892.89399700677 & -4854.24396870908 & -2.34470007420332 \tabularnewline
10 & 242621 & 244809.28116615 & 1150.94170799541 & -2188.28116614989 & -1.89908005699550 \tabularnewline
11 & 238545 & 239904.48547557 & -2792.34611975729 & -1359.48547556992 & -1.30415484917333 \tabularnewline
12 & 240337 & 238931.777842675 & -1607.58355473100 & 1405.22215732499 & 0.391831081100997 \tabularnewline
13 & 244752 & 242658.719840158 & 1852.95961913864 & 2093.28015984247 & 1.14900380079447 \tabularnewline
14 & 244576 & 244677.849582123 & 1961.25480932071 & -101.849582123406 & 0.0364069440670138 \tabularnewline
15 & 241572 & 242094.817409794 & -924.33898095333 & -522.817409794261 & -0.945829032128195 \tabularnewline
16 & 240541 & 239259.420223356 & -2118.81099437688 & 1281.57977664350 & -0.40053041610154 \tabularnewline
17 & 236089 & 237147.009246986 & -2114.75867793284 & -1058.00924698640 & 0.00135060985011902 \tabularnewline
18 & 236997 & 242297.925045259 & 2460.46145689813 & -5300.92504525874 & 1.50664286547255 \tabularnewline
19 & 264579 & 254795.253354148 & 8746.13104022008 & 9783.74664585243 & 2.07748339526408 \tabularnewline
20 & 270349 & 267772.905303327 & 11400.2863477810 & 2576.0946966728 & 0.87860459636238 \tabularnewline
21 & 269645 & 273762.972432773 & 8001.5633362573 & -4117.97243277296 & -1.12407224299349 \tabularnewline
22 & 267037 & 270811.588798617 & 1119.49118215211 & -3774.58879861729 & -2.27607867707033 \tabularnewline
23 & 258113 & 263028.443330783 & -4471.29014092542 & -4915.44333078321 & -1.84911114869343 \tabularnewline
24 & 262813 & 261672.552954001 & -2517.20450622156 & 1140.44704599920 & 0.646608876382176 \tabularnewline
25 & 267413 & 263694.834714795 & 330.998185231379 & 3718.16528520452 & 0.945007737571297 \tabularnewline
26 & 267366 & 265008.563021343 & 948.438860638996 & 2357.4369786569 & 0.204561220854836 \tabularnewline
27 & 264777 & 264104.939732210 & -206.068971212011 & 672.060267789575 & -0.380643411426417 \tabularnewline
28 & 258863 & 258737.122490497 & -3404.43215604157 & 125.877509502864 & -1.06137009388874 \tabularnewline
29 & 254844 & 257664.911934918 & -1952.28530881217 & -2820.911934918 & 0.482682294448132 \tabularnewline
30 & 254868 & 262613.782166726 & 2347.54295820549 & -7745.78216672599 & 1.42071120739347 \tabularnewline
31 & 277267 & 269030.037705688 & 4873.29548896407 & 8236.96229431205 & 0.83397540008689 \tabularnewline
32 & 285351 & 279099.429717225 & 8096.83140331357 & 6251.57028277479 & 1.06620121409361 \tabularnewline
33 & 286602 & 286654.998894965 & 7760.65485853806 & -52.9988949654144 & -0.111202917135502 \tabularnewline
34 & 283042 & 286469.754399201 & 2823.21138281052 & -3427.75439920139 & -1.63296438615244 \tabularnewline
35 & 276687 & 284431.267887248 & -196.634488030494 & -7744.26788724804 & -0.998871775327268 \tabularnewline
36 & 277915 & 280209.941286073 & -2695.76440348411 & -2294.94128607324 & -0.827219284042565 \tabularnewline
37 & 277128 & 274662.903502512 & -4467.68254471405 & 2465.09649748757 & -0.586966422333203 \tabularnewline
38 & 277103 & 272191.034043496 & -3227.63641403206 & 4911.9659565044 & 0.410087234379275 \tabularnewline
39 & 275037 & 270967.602949350 & -1987.37327935046 & 4069.39705064973 & 0.409571799619892 \tabularnewline
40 & 270150 & 270146.799993162 & -1267.41195688991 & 3.20000683824838 & 0.238446656662148 \tabularnewline
41 & 267140 & 271477.918684309 & 339.845263588217 & -4337.91868430927 & 0.53310467720651 \tabularnewline
42 & 264993 & 274189.763076174 & 1808.96867566131 & -9196.76307617405 & 0.486008904553596 \tabularnewline
43 & 287259 & 280282.373759483 & 4457.47027069849 & 6976.62624051714 & 0.874882867546938 \tabularnewline
44 & 291186 & 285196.974844635 & 4739.74820741193 & 5989.02515536527 & 0.0933112628916727 \tabularnewline
45 & 292300 & 289682.099837851 & 4582.48068372311 & 2617.90016214859 & -0.0520160290744053 \tabularnewline
46 & 288186 & 291018.132138596 & 2576.57305337064 & -2832.13213859644 & -0.663516900184109 \tabularnewline
47 & 281477 & 289001.116672355 & -261.713807785126 & -7524.11667235522 & -0.93904242071879 \tabularnewline
48 & 282656 & 284947.388112201 & -2605.23589926443 & -2291.38811220076 & -0.775685943000199 \tabularnewline
49 & 280190 & 279282.544137391 & -4497.20050282367 & 907.45586260913 & -0.626181624029428 \tabularnewline
50 & 280408 & 275442.358122193 & -4091.17857353071 & 4965.64187780673 & 0.134220052351034 \tabularnewline
51 & 276836 & 272488.48132049 & -3390.09459460652 & 4347.51867951020 & 0.231660115571597 \tabularnewline
52 & 275216 & 274046.018825338 & -344.604524095429 & 1169.98117466171 & 1.00804906563687 \tabularnewline
53 & 274352 & 278283.79037747 & 2479.59117482337 & -3931.79037746988 & 0.935797187822265 \tabularnewline
54 & 271311 & 282128.862140493 & 3322.15763959838 & -10817.8621404931 & 0.278826417869663 \tabularnewline
55 & 289802 & 284067.260795632 & 2468.99537078949 & 5734.73920436849 & -0.281959040822644 \tabularnewline
56 & 290726 & 285400.425975654 & 1769.57790937026 & 5325.57402434617 & -0.231164278915934 \tabularnewline
57 & 292300 & 288233.123611895 & 2423.96290862889 & 4066.87638810483 & 0.216402825998896 \tabularnewline
58 & 278506 & 282792.322991091 & -2417.77686281426 & -4286.3229910909 & -1.60175727125959 \tabularnewline
59 & 269826 & 276479.159996527 & -4816.5113818281 & -6653.15999652672 & -0.79377699727771 \tabularnewline
60 & 265861 & 267887.661453307 & -7142.15368993512 & -2026.66145330681 & -0.769699633530674 \tabularnewline
61 & 269034 & 265705.385787276 & -4085.54161084321 & 3328.61421272369 & 1.01121325919332 \tabularnewline
62 & 264176 & 260408.221499890 & -4831.66883045008 & 3767.77850010972 & -0.246629111376303 \tabularnewline
63 & 255198 & 253481.744716514 & -6119.42339965102 & 1716.25528348597 & -0.425634405871612 \tabularnewline
64 & 253353 & 252071.997462188 & -3226.82930077746 & 1281.00253781236 & 0.957208783067707 \tabularnewline
65 & 246057 & 250421.130360352 & -2258.0893904175 & -4364.13036035204 & 0.320827585888107 \tabularnewline
66 & 235372 & 246662.910193551 & -3181.1115861402 & -11290.9101935510 & -0.305468682572277 \tabularnewline
67 & 258556 & 250312.126552545 & 1019.97664312930 & 8243.87344745534 & 1.38881791005744 \tabularnewline
68 & 260993 & 255167.591180550 & 3376.41626196456 & 5825.40881945026 & 0.778828074810524 \tabularnewline
69 & 254663 & 250705.812578547 & -1435.79846382531 & 3957.18742145281 & -1.59121978123962 \tabularnewline
70 & 250643 & 251538.340040763 & -43.2226585710357 & -895.340040762983 & 0.460719772320593 \tabularnewline
71 & 243422 & 249883.725968071 & -1032.87649947438 & -6461.72596807086 & -0.327525653689344 \tabularnewline
72 & 247105 & 250235.144316805 & -182.240937093511 & -3130.14431680489 & 0.281506885416021 \tabularnewline
73 & 248541 & 246019.043699973 & -2661.42790024907 & 2521.95630002731 & -0.820018267294366 \tabularnewline
74 & 245039 & 241029.604878746 & -4091.12437736475 & 4009.39512125386 & -0.472581702373198 \tabularnewline
75 & 237080 & 236849.355489554 & -4145.78554897385 & 230.644510445671 & -0.0180695605610081 \tabularnewline
76 & 237085 & 235047.703499156 & -2708.99656879391 & 2037.29650084392 & 0.475399087899224 \tabularnewline
77 & 225554 & 230583.823851440 & -3785.29650494648 & -5029.82385143955 & -0.35634510597235 \tabularnewline
78 & 226839 & 237077.358557541 & 2523.95829881631 & -10238.3585575406 & 2.08795128167729 \tabularnewline
79 & 247934 & 241031.911583277 & 3401.91576245242 & 6902.08841672315 & 0.290288509152947 \tabularnewline
80 & 248333 & 240984.169001294 & 1286.89224192128 & 7348.83099870631 & -0.699075647119443 \tabularnewline
81 & 246969 & 243287.301413909 & 1909.45377150278 & 3681.69858609122 & 0.205848112758371 \tabularnewline
82 & 245098 & 245746.145697483 & 2245.96768923106 & -648.145697483318 & 0.111332515081609 \tabularnewline
83 & 246263 & 251809.795164201 & 4585.36704998856 & -5546.79516420071 & 0.77424331249251 \tabularnewline
84 & 255765 & 257149.46187222 & 5047.84083996436 & -1384.46187222021 & 0.153040188435924 \tabularnewline
85 & 264319 & 261069.258279305 & 4356.16008026155 & 3249.74172069465 & -0.228759466745436 \tabularnewline
86 & 268347 & 264329.984513265 & 3684.96314141705 & 4017.01548673516 & -0.221869429510257 \tabularnewline
87 & 273046 & 271645.457236562 & 5907.04618810927 & 1400.54276343817 & 0.734628693754829 \tabularnewline
88 & 273963 & 273610.286032283 & 3495.28633470969 & 352.713967717219 & -0.797932356444467 \tabularnewline
89 & 267430 & 276480.296127308 & 3112.5612259563 & -9050.29612730787 & -0.126689952964128 \tabularnewline
90 & 271993 & 281671.656136184 & 4385.83631050951 & -9678.65613618361 & 0.421347929455546 \tabularnewline
91 & 292710 & 284933.844870195 & 3697.65435529559 & 7776.15512980473 & -0.227562193110791 \tabularnewline
92 & 295881 & 288619.79881185 & 3690.49431605292 & 7261.20118815018 & -0.00236675304644896 \tabularnewline
93 & 293299 & 290654.719821155 & 2678.19392873028 & 2644.28017884468 & -0.334710134743844 \tabularnewline
94 & 288576 & 291400.839718485 & 1497.06521423281 & -2824.83971848502 & -0.390756492252324 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64658&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]220206[/C][C]220206[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]220115[/C][C]220151.947561343[/C][C]-57.105956069184[/C][C]-36.9475613429499[/C][C]-0.0241578908683742[/C][/ROW]
[ROW][C]3[/C][C]218444[/C][C]218884.832710419[/C][C]-825.237855151883[/C][C]-440.832710418858[/C][C]-0.257968044864550[/C][/ROW]
[ROW][C]4[/C][C]214912[/C][C]215807.635089226[/C][C]-2313.37718911019[/C][C]-895.6350892258[/C][C]-0.527721428071982[/C][/ROW]
[ROW][C]5[/C][C]210705[/C][C]211283.377214379[/C][C]-3774.90936620938[/C][C]-578.377214378565[/C][C]-0.479226635424588[/C][/ROW]
[ROW][C]6[/C][C]209673[/C][C]208881.96866542[/C][C]-2884.886369516[/C][C]791.031334580144[/C][C]0.293510621151455[/C][/ROW]
[ROW][C]7[/C][C]237041[/C][C]228413.507291201[/C][C]11674.1162482406[/C][C]8627.49270879926[/C][C]4.82514873367526[/C][/ROW]
[ROW][C]8[/C][C]242081[/C][C]243632.844898227[/C][C]13982.9247329545[/C][C]-1551.84489822655[/C][C]0.763704401832559[/C][/ROW]
[ROW][C]9[/C][C]241878[/C][C]246732.243968709[/C][C]6892.89399700677[/C][C]-4854.24396870908[/C][C]-2.34470007420332[/C][/ROW]
[ROW][C]10[/C][C]242621[/C][C]244809.28116615[/C][C]1150.94170799541[/C][C]-2188.28116614989[/C][C]-1.89908005699550[/C][/ROW]
[ROW][C]11[/C][C]238545[/C][C]239904.48547557[/C][C]-2792.34611975729[/C][C]-1359.48547556992[/C][C]-1.30415484917333[/C][/ROW]
[ROW][C]12[/C][C]240337[/C][C]238931.777842675[/C][C]-1607.58355473100[/C][C]1405.22215732499[/C][C]0.391831081100997[/C][/ROW]
[ROW][C]13[/C][C]244752[/C][C]242658.719840158[/C][C]1852.95961913864[/C][C]2093.28015984247[/C][C]1.14900380079447[/C][/ROW]
[ROW][C]14[/C][C]244576[/C][C]244677.849582123[/C][C]1961.25480932071[/C][C]-101.849582123406[/C][C]0.0364069440670138[/C][/ROW]
[ROW][C]15[/C][C]241572[/C][C]242094.817409794[/C][C]-924.33898095333[/C][C]-522.817409794261[/C][C]-0.945829032128195[/C][/ROW]
[ROW][C]16[/C][C]240541[/C][C]239259.420223356[/C][C]-2118.81099437688[/C][C]1281.57977664350[/C][C]-0.40053041610154[/C][/ROW]
[ROW][C]17[/C][C]236089[/C][C]237147.009246986[/C][C]-2114.75867793284[/C][C]-1058.00924698640[/C][C]0.00135060985011902[/C][/ROW]
[ROW][C]18[/C][C]236997[/C][C]242297.925045259[/C][C]2460.46145689813[/C][C]-5300.92504525874[/C][C]1.50664286547255[/C][/ROW]
[ROW][C]19[/C][C]264579[/C][C]254795.253354148[/C][C]8746.13104022008[/C][C]9783.74664585243[/C][C]2.07748339526408[/C][/ROW]
[ROW][C]20[/C][C]270349[/C][C]267772.905303327[/C][C]11400.2863477810[/C][C]2576.0946966728[/C][C]0.87860459636238[/C][/ROW]
[ROW][C]21[/C][C]269645[/C][C]273762.972432773[/C][C]8001.5633362573[/C][C]-4117.97243277296[/C][C]-1.12407224299349[/C][/ROW]
[ROW][C]22[/C][C]267037[/C][C]270811.588798617[/C][C]1119.49118215211[/C][C]-3774.58879861729[/C][C]-2.27607867707033[/C][/ROW]
[ROW][C]23[/C][C]258113[/C][C]263028.443330783[/C][C]-4471.29014092542[/C][C]-4915.44333078321[/C][C]-1.84911114869343[/C][/ROW]
[ROW][C]24[/C][C]262813[/C][C]261672.552954001[/C][C]-2517.20450622156[/C][C]1140.44704599920[/C][C]0.646608876382176[/C][/ROW]
[ROW][C]25[/C][C]267413[/C][C]263694.834714795[/C][C]330.998185231379[/C][C]3718.16528520452[/C][C]0.945007737571297[/C][/ROW]
[ROW][C]26[/C][C]267366[/C][C]265008.563021343[/C][C]948.438860638996[/C][C]2357.4369786569[/C][C]0.204561220854836[/C][/ROW]
[ROW][C]27[/C][C]264777[/C][C]264104.939732210[/C][C]-206.068971212011[/C][C]672.060267789575[/C][C]-0.380643411426417[/C][/ROW]
[ROW][C]28[/C][C]258863[/C][C]258737.122490497[/C][C]-3404.43215604157[/C][C]125.877509502864[/C][C]-1.06137009388874[/C][/ROW]
[ROW][C]29[/C][C]254844[/C][C]257664.911934918[/C][C]-1952.28530881217[/C][C]-2820.911934918[/C][C]0.482682294448132[/C][/ROW]
[ROW][C]30[/C][C]254868[/C][C]262613.782166726[/C][C]2347.54295820549[/C][C]-7745.78216672599[/C][C]1.42071120739347[/C][/ROW]
[ROW][C]31[/C][C]277267[/C][C]269030.037705688[/C][C]4873.29548896407[/C][C]8236.96229431205[/C][C]0.83397540008689[/C][/ROW]
[ROW][C]32[/C][C]285351[/C][C]279099.429717225[/C][C]8096.83140331357[/C][C]6251.57028277479[/C][C]1.06620121409361[/C][/ROW]
[ROW][C]33[/C][C]286602[/C][C]286654.998894965[/C][C]7760.65485853806[/C][C]-52.9988949654144[/C][C]-0.111202917135502[/C][/ROW]
[ROW][C]34[/C][C]283042[/C][C]286469.754399201[/C][C]2823.21138281052[/C][C]-3427.75439920139[/C][C]-1.63296438615244[/C][/ROW]
[ROW][C]35[/C][C]276687[/C][C]284431.267887248[/C][C]-196.634488030494[/C][C]-7744.26788724804[/C][C]-0.998871775327268[/C][/ROW]
[ROW][C]36[/C][C]277915[/C][C]280209.941286073[/C][C]-2695.76440348411[/C][C]-2294.94128607324[/C][C]-0.827219284042565[/C][/ROW]
[ROW][C]37[/C][C]277128[/C][C]274662.903502512[/C][C]-4467.68254471405[/C][C]2465.09649748757[/C][C]-0.586966422333203[/C][/ROW]
[ROW][C]38[/C][C]277103[/C][C]272191.034043496[/C][C]-3227.63641403206[/C][C]4911.9659565044[/C][C]0.410087234379275[/C][/ROW]
[ROW][C]39[/C][C]275037[/C][C]270967.602949350[/C][C]-1987.37327935046[/C][C]4069.39705064973[/C][C]0.409571799619892[/C][/ROW]
[ROW][C]40[/C][C]270150[/C][C]270146.799993162[/C][C]-1267.41195688991[/C][C]3.20000683824838[/C][C]0.238446656662148[/C][/ROW]
[ROW][C]41[/C][C]267140[/C][C]271477.918684309[/C][C]339.845263588217[/C][C]-4337.91868430927[/C][C]0.53310467720651[/C][/ROW]
[ROW][C]42[/C][C]264993[/C][C]274189.763076174[/C][C]1808.96867566131[/C][C]-9196.76307617405[/C][C]0.486008904553596[/C][/ROW]
[ROW][C]43[/C][C]287259[/C][C]280282.373759483[/C][C]4457.47027069849[/C][C]6976.62624051714[/C][C]0.874882867546938[/C][/ROW]
[ROW][C]44[/C][C]291186[/C][C]285196.974844635[/C][C]4739.74820741193[/C][C]5989.02515536527[/C][C]0.0933112628916727[/C][/ROW]
[ROW][C]45[/C][C]292300[/C][C]289682.099837851[/C][C]4582.48068372311[/C][C]2617.90016214859[/C][C]-0.0520160290744053[/C][/ROW]
[ROW][C]46[/C][C]288186[/C][C]291018.132138596[/C][C]2576.57305337064[/C][C]-2832.13213859644[/C][C]-0.663516900184109[/C][/ROW]
[ROW][C]47[/C][C]281477[/C][C]289001.116672355[/C][C]-261.713807785126[/C][C]-7524.11667235522[/C][C]-0.93904242071879[/C][/ROW]
[ROW][C]48[/C][C]282656[/C][C]284947.388112201[/C][C]-2605.23589926443[/C][C]-2291.38811220076[/C][C]-0.775685943000199[/C][/ROW]
[ROW][C]49[/C][C]280190[/C][C]279282.544137391[/C][C]-4497.20050282367[/C][C]907.45586260913[/C][C]-0.626181624029428[/C][/ROW]
[ROW][C]50[/C][C]280408[/C][C]275442.358122193[/C][C]-4091.17857353071[/C][C]4965.64187780673[/C][C]0.134220052351034[/C][/ROW]
[ROW][C]51[/C][C]276836[/C][C]272488.48132049[/C][C]-3390.09459460652[/C][C]4347.51867951020[/C][C]0.231660115571597[/C][/ROW]
[ROW][C]52[/C][C]275216[/C][C]274046.018825338[/C][C]-344.604524095429[/C][C]1169.98117466171[/C][C]1.00804906563687[/C][/ROW]
[ROW][C]53[/C][C]274352[/C][C]278283.79037747[/C][C]2479.59117482337[/C][C]-3931.79037746988[/C][C]0.935797187822265[/C][/ROW]
[ROW][C]54[/C][C]271311[/C][C]282128.862140493[/C][C]3322.15763959838[/C][C]-10817.8621404931[/C][C]0.278826417869663[/C][/ROW]
[ROW][C]55[/C][C]289802[/C][C]284067.260795632[/C][C]2468.99537078949[/C][C]5734.73920436849[/C][C]-0.281959040822644[/C][/ROW]
[ROW][C]56[/C][C]290726[/C][C]285400.425975654[/C][C]1769.57790937026[/C][C]5325.57402434617[/C][C]-0.231164278915934[/C][/ROW]
[ROW][C]57[/C][C]292300[/C][C]288233.123611895[/C][C]2423.96290862889[/C][C]4066.87638810483[/C][C]0.216402825998896[/C][/ROW]
[ROW][C]58[/C][C]278506[/C][C]282792.322991091[/C][C]-2417.77686281426[/C][C]-4286.3229910909[/C][C]-1.60175727125959[/C][/ROW]
[ROW][C]59[/C][C]269826[/C][C]276479.159996527[/C][C]-4816.5113818281[/C][C]-6653.15999652672[/C][C]-0.79377699727771[/C][/ROW]
[ROW][C]60[/C][C]265861[/C][C]267887.661453307[/C][C]-7142.15368993512[/C][C]-2026.66145330681[/C][C]-0.769699633530674[/C][/ROW]
[ROW][C]61[/C][C]269034[/C][C]265705.385787276[/C][C]-4085.54161084321[/C][C]3328.61421272369[/C][C]1.01121325919332[/C][/ROW]
[ROW][C]62[/C][C]264176[/C][C]260408.221499890[/C][C]-4831.66883045008[/C][C]3767.77850010972[/C][C]-0.246629111376303[/C][/ROW]
[ROW][C]63[/C][C]255198[/C][C]253481.744716514[/C][C]-6119.42339965102[/C][C]1716.25528348597[/C][C]-0.425634405871612[/C][/ROW]
[ROW][C]64[/C][C]253353[/C][C]252071.997462188[/C][C]-3226.82930077746[/C][C]1281.00253781236[/C][C]0.957208783067707[/C][/ROW]
[ROW][C]65[/C][C]246057[/C][C]250421.130360352[/C][C]-2258.0893904175[/C][C]-4364.13036035204[/C][C]0.320827585888107[/C][/ROW]
[ROW][C]66[/C][C]235372[/C][C]246662.910193551[/C][C]-3181.1115861402[/C][C]-11290.9101935510[/C][C]-0.305468682572277[/C][/ROW]
[ROW][C]67[/C][C]258556[/C][C]250312.126552545[/C][C]1019.97664312930[/C][C]8243.87344745534[/C][C]1.38881791005744[/C][/ROW]
[ROW][C]68[/C][C]260993[/C][C]255167.591180550[/C][C]3376.41626196456[/C][C]5825.40881945026[/C][C]0.778828074810524[/C][/ROW]
[ROW][C]69[/C][C]254663[/C][C]250705.812578547[/C][C]-1435.79846382531[/C][C]3957.18742145281[/C][C]-1.59121978123962[/C][/ROW]
[ROW][C]70[/C][C]250643[/C][C]251538.340040763[/C][C]-43.2226585710357[/C][C]-895.340040762983[/C][C]0.460719772320593[/C][/ROW]
[ROW][C]71[/C][C]243422[/C][C]249883.725968071[/C][C]-1032.87649947438[/C][C]-6461.72596807086[/C][C]-0.327525653689344[/C][/ROW]
[ROW][C]72[/C][C]247105[/C][C]250235.144316805[/C][C]-182.240937093511[/C][C]-3130.14431680489[/C][C]0.281506885416021[/C][/ROW]
[ROW][C]73[/C][C]248541[/C][C]246019.043699973[/C][C]-2661.42790024907[/C][C]2521.95630002731[/C][C]-0.820018267294366[/C][/ROW]
[ROW][C]74[/C][C]245039[/C][C]241029.604878746[/C][C]-4091.12437736475[/C][C]4009.39512125386[/C][C]-0.472581702373198[/C][/ROW]
[ROW][C]75[/C][C]237080[/C][C]236849.355489554[/C][C]-4145.78554897385[/C][C]230.644510445671[/C][C]-0.0180695605610081[/C][/ROW]
[ROW][C]76[/C][C]237085[/C][C]235047.703499156[/C][C]-2708.99656879391[/C][C]2037.29650084392[/C][C]0.475399087899224[/C][/ROW]
[ROW][C]77[/C][C]225554[/C][C]230583.823851440[/C][C]-3785.29650494648[/C][C]-5029.82385143955[/C][C]-0.35634510597235[/C][/ROW]
[ROW][C]78[/C][C]226839[/C][C]237077.358557541[/C][C]2523.95829881631[/C][C]-10238.3585575406[/C][C]2.08795128167729[/C][/ROW]
[ROW][C]79[/C][C]247934[/C][C]241031.911583277[/C][C]3401.91576245242[/C][C]6902.08841672315[/C][C]0.290288509152947[/C][/ROW]
[ROW][C]80[/C][C]248333[/C][C]240984.169001294[/C][C]1286.89224192128[/C][C]7348.83099870631[/C][C]-0.699075647119443[/C][/ROW]
[ROW][C]81[/C][C]246969[/C][C]243287.301413909[/C][C]1909.45377150278[/C][C]3681.69858609122[/C][C]0.205848112758371[/C][/ROW]
[ROW][C]82[/C][C]245098[/C][C]245746.145697483[/C][C]2245.96768923106[/C][C]-648.145697483318[/C][C]0.111332515081609[/C][/ROW]
[ROW][C]83[/C][C]246263[/C][C]251809.795164201[/C][C]4585.36704998856[/C][C]-5546.79516420071[/C][C]0.77424331249251[/C][/ROW]
[ROW][C]84[/C][C]255765[/C][C]257149.46187222[/C][C]5047.84083996436[/C][C]-1384.46187222021[/C][C]0.153040188435924[/C][/ROW]
[ROW][C]85[/C][C]264319[/C][C]261069.258279305[/C][C]4356.16008026155[/C][C]3249.74172069465[/C][C]-0.228759466745436[/C][/ROW]
[ROW][C]86[/C][C]268347[/C][C]264329.984513265[/C][C]3684.96314141705[/C][C]4017.01548673516[/C][C]-0.221869429510257[/C][/ROW]
[ROW][C]87[/C][C]273046[/C][C]271645.457236562[/C][C]5907.04618810927[/C][C]1400.54276343817[/C][C]0.734628693754829[/C][/ROW]
[ROW][C]88[/C][C]273963[/C][C]273610.286032283[/C][C]3495.28633470969[/C][C]352.713967717219[/C][C]-0.797932356444467[/C][/ROW]
[ROW][C]89[/C][C]267430[/C][C]276480.296127308[/C][C]3112.5612259563[/C][C]-9050.29612730787[/C][C]-0.126689952964128[/C][/ROW]
[ROW][C]90[/C][C]271993[/C][C]281671.656136184[/C][C]4385.83631050951[/C][C]-9678.65613618361[/C][C]0.421347929455546[/C][/ROW]
[ROW][C]91[/C][C]292710[/C][C]284933.844870195[/C][C]3697.65435529559[/C][C]7776.15512980473[/C][C]-0.227562193110791[/C][/ROW]
[ROW][C]92[/C][C]295881[/C][C]288619.79881185[/C][C]3690.49431605292[/C][C]7261.20118815018[/C][C]-0.00236675304644896[/C][/ROW]
[ROW][C]93[/C][C]293299[/C][C]290654.719821155[/C][C]2678.19392873028[/C][C]2644.28017884468[/C][C]-0.334710134743844[/C][/ROW]
[ROW][C]94[/C][C]288576[/C][C]291400.839718485[/C][C]1497.06521423281[/C][C]-2824.83971848502[/C][C]-0.390756492252324[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64658&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64658&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
1220206220206000
2220115220151.947561343-57.105956069184-36.9475613429499-0.0241578908683742
3218444218884.832710419-825.237855151883-440.832710418858-0.257968044864550
4214912215807.635089226-2313.37718911019-895.6350892258-0.527721428071982
5210705211283.377214379-3774.90936620938-578.377214378565-0.479226635424588
6209673208881.96866542-2884.886369516791.0313345801440.293510621151455
7237041228413.50729120111674.11624824068627.492708799264.82514873367526
8242081243632.84489822713982.9247329545-1551.844898226550.763704401832559
9241878246732.2439687096892.89399700677-4854.24396870908-2.34470007420332
10242621244809.281166151150.94170799541-2188.28116614989-1.89908005699550
11238545239904.48547557-2792.34611975729-1359.48547556992-1.30415484917333
12240337238931.777842675-1607.583554731001405.222157324990.391831081100997
13244752242658.7198401581852.959619138642093.280159842471.14900380079447
14244576244677.8495821231961.25480932071-101.8495821234060.0364069440670138
15241572242094.817409794-924.33898095333-522.817409794261-0.945829032128195
16240541239259.420223356-2118.810994376881281.57977664350-0.40053041610154
17236089237147.009246986-2114.75867793284-1058.009246986400.00135060985011902
18236997242297.9250452592460.46145689813-5300.925045258741.50664286547255
19264579254795.2533541488746.131040220089783.746645852432.07748339526408
20270349267772.90530332711400.28634778102576.09469667280.87860459636238
21269645273762.9724327738001.5633362573-4117.97243277296-1.12407224299349
22267037270811.5887986171119.49118215211-3774.58879861729-2.27607867707033
23258113263028.443330783-4471.29014092542-4915.44333078321-1.84911114869343
24262813261672.552954001-2517.204506221561140.447045999200.646608876382176
25267413263694.834714795330.9981852313793718.165285204520.945007737571297
26267366265008.563021343948.4388606389962357.43697865690.204561220854836
27264777264104.939732210-206.068971212011672.060267789575-0.380643411426417
28258863258737.122490497-3404.43215604157125.877509502864-1.06137009388874
29254844257664.911934918-1952.28530881217-2820.9119349180.482682294448132
30254868262613.7821667262347.54295820549-7745.782166725991.42071120739347
31277267269030.0377056884873.295488964078236.962294312050.83397540008689
32285351279099.4297172258096.831403313576251.570282774791.06620121409361
33286602286654.9988949657760.65485853806-52.9988949654144-0.111202917135502
34283042286469.7543992012823.21138281052-3427.75439920139-1.63296438615244
35276687284431.267887248-196.634488030494-7744.26788724804-0.998871775327268
36277915280209.941286073-2695.76440348411-2294.94128607324-0.827219284042565
37277128274662.903502512-4467.682544714052465.09649748757-0.586966422333203
38277103272191.034043496-3227.636414032064911.96595650440.410087234379275
39275037270967.602949350-1987.373279350464069.397050649730.409571799619892
40270150270146.799993162-1267.411956889913.200006838248380.238446656662148
41267140271477.918684309339.845263588217-4337.918684309270.53310467720651
42264993274189.7630761741808.96867566131-9196.763076174050.486008904553596
43287259280282.3737594834457.470270698496976.626240517140.874882867546938
44291186285196.9748446354739.748207411935989.025155365270.0933112628916727
45292300289682.0998378514582.480683723112617.90016214859-0.0520160290744053
46288186291018.1321385962576.57305337064-2832.13213859644-0.663516900184109
47281477289001.116672355-261.713807785126-7524.11667235522-0.93904242071879
48282656284947.388112201-2605.23589926443-2291.38811220076-0.775685943000199
49280190279282.544137391-4497.20050282367907.45586260913-0.626181624029428
50280408275442.358122193-4091.178573530714965.641877806730.134220052351034
51276836272488.48132049-3390.094594606524347.518679510200.231660115571597
52275216274046.018825338-344.6045240954291169.981174661711.00804906563687
53274352278283.790377472479.59117482337-3931.790377469880.935797187822265
54271311282128.8621404933322.15763959838-10817.86214049310.278826417869663
55289802284067.2607956322468.995370789495734.73920436849-0.281959040822644
56290726285400.4259756541769.577909370265325.57402434617-0.231164278915934
57292300288233.1236118952423.962908628894066.876388104830.216402825998896
58278506282792.322991091-2417.77686281426-4286.3229910909-1.60175727125959
59269826276479.159996527-4816.5113818281-6653.15999652672-0.79377699727771
60265861267887.661453307-7142.15368993512-2026.66145330681-0.769699633530674
61269034265705.385787276-4085.541610843213328.614212723691.01121325919332
62264176260408.221499890-4831.668830450083767.77850010972-0.246629111376303
63255198253481.744716514-6119.423399651021716.25528348597-0.425634405871612
64253353252071.997462188-3226.829300777461281.002537812360.957208783067707
65246057250421.130360352-2258.0893904175-4364.130360352040.320827585888107
66235372246662.910193551-3181.1115861402-11290.9101935510-0.305468682572277
67258556250312.1265525451019.976643129308243.873447455341.38881791005744
68260993255167.5911805503376.416261964565825.408819450260.778828074810524
69254663250705.812578547-1435.798463825313957.18742145281-1.59121978123962
70250643251538.340040763-43.2226585710357-895.3400407629830.460719772320593
71243422249883.725968071-1032.87649947438-6461.72596807086-0.327525653689344
72247105250235.144316805-182.240937093511-3130.144316804890.281506885416021
73248541246019.043699973-2661.427900249072521.95630002731-0.820018267294366
74245039241029.604878746-4091.124377364754009.39512125386-0.472581702373198
75237080236849.355489554-4145.78554897385230.644510445671-0.0180695605610081
76237085235047.703499156-2708.996568793912037.296500843920.475399087899224
77225554230583.823851440-3785.29650494648-5029.82385143955-0.35634510597235
78226839237077.3585575412523.95829881631-10238.35855754062.08795128167729
79247934241031.9115832773401.915762452426902.088416723150.290288509152947
80248333240984.1690012941286.892241921287348.83099870631-0.699075647119443
81246969243287.3014139091909.453771502783681.698586091220.205848112758371
82245098245746.1456974832245.96768923106-648.1456974833180.111332515081609
83246263251809.7951642014585.36704998856-5546.795164200710.77424331249251
84255765257149.461872225047.84083996436-1384.461872220210.153040188435924
85264319261069.2582793054356.160080261553249.74172069465-0.228759466745436
86268347264329.9845132653684.963141417054017.01548673516-0.221869429510257
87273046271645.4572365625907.046188109271400.542763438170.734628693754829
88273963273610.2860322833495.28633470969352.713967717219-0.797932356444467
89267430276480.2961273083112.5612259563-9050.29612730787-0.126689952964128
90271993281671.6561361844385.83631050951-9678.656136183610.421347929455546
91292710284933.8448701953697.654355295597776.15512980473-0.227562193110791
92295881288619.798811853690.494316052927261.20118815018-0.00236675304644896
93293299290654.7198211552678.193928730282644.28017884468-0.334710134743844
94288576291400.8397184851497.06521423281-2824.83971848502-0.390756492252324



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
nx <- length(x)
x <- ts(x,frequency=par1)
m <- StructTS(x,type='BSM')
m$coef
m$fitted
m$resid
mylevel <- as.numeric(m$fitted[,'level'])
myslope <- as.numeric(m$fitted[,'slope'])
myseas <- as.numeric(m$fitted[,'sea'])
myresid <- as.numeric(m$resid)
myfit <- mylevel+myseas
mylagmax <- nx/2
bitmap(file='test2.png')
op <- par(mfrow = c(2,2))
acf(as.numeric(x),lag.max = mylagmax,main='Observed')
acf(mylevel,na.action=na.pass,lag.max = mylagmax,main='Level')
acf(myseas,na.action=na.pass,lag.max = mylagmax,main='Seasonal')
acf(myresid,na.action=na.pass,lag.max = mylagmax,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test3.png')
op <- par(mfrow = c(2,2))
spectrum(as.numeric(x),main='Observed')
spectrum(mylevel,main='Level')
spectrum(myseas,main='Seasonal')
spectrum(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test4.png')
op <- par(mfrow = c(2,2))
cpgram(as.numeric(x),main='Observed')
cpgram(mylevel,main='Level')
cpgram(myseas,main='Seasonal')
cpgram(myresid,main='Standardized Residals')
par(op)
dev.off()
bitmap(file='test1.png')
plot(as.numeric(m$resid),main='Standardized Residuals',ylab='Residuals',xlab='time',type='b')
grid()
dev.off()
bitmap(file='test5.png')
op <- par(mfrow = c(2,2))
hist(m$resid,main='Residual Histogram')
plot(density(m$resid),main='Residual Kernel Density')
qqnorm(m$resid,main='Residual Normal QQ Plot')
qqline(m$resid)
plot(m$resid^2, myfit^2,main='Sq.Resid vs. Sq.Fit',xlab='Squared residuals',ylab='Squared Fit')
par(op)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Structural Time Series Model',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'t',header=TRUE)
a<-table.element(a,'Observed',header=TRUE)
a<-table.element(a,'Level',header=TRUE)
a<-table.element(a,'Slope',header=TRUE)
a<-table.element(a,'Seasonal',header=TRUE)
a<-table.element(a,'Stand. Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:nx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,x[i])
a<-table.element(a,mylevel[i])
a<-table.element(a,myslope[i])
a<-table.element(a,myseas[i])
a<-table.element(a,myresid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')