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*The author of this computation has been verified*
R Software Module: /rwasp_structuraltimeseries.wasp (opens new window with default values)
Title produced by software: Structural Time Series Models
Date of computation: Wed, 29 Dec 2010 14:57:58 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto.htm/, Retrieved Wed, 29 Dec 2010 15:59:45 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
315.42 316.32 316.49 317.56 318.13 318.00 316.39 314.66 313.68 313.18 314.66 315.43 316.27 316.81 317.42 318.87 319.87 319.43 318.01 315.75 314.00 313.68 314.84 316.03 316.73 317.54 318.38 319.31 320.42 319.61 318.42 316.64 314.83 315.15 315.95 316.85 317.78 318.40 319.53 320.41 320.85 320.45 319.44 317.25 316.12 315.27 316.53 317.53 318.58 318.92 319.70 321.22 322.08 321.31 319.58 317.61 316.05 315.83 316.91 318.20 319.41 320.07 320.74 321.40 322.06 321.73 320.27 318.54 316.54 316.71 317.53 318.55 319.27 320.28 320.73 321.97 322.00 321.71 321.05 318.71 317.65 317.14 318.71 319.25 320.46 321.43 322.22 323.54 323.91 323.59 322.26 320.21 318.48 317.94 319.63 320.87 322.17 322.34 322.88 324.25 324.83 323.93 322.39 320.76 319.10 319.23 320.56 321.80 322.40 322.99 323.73 324.86 325.41 325.19 323.97 321.92 320.10 319.96 320.97 322.48 323.52 323.89 325.04 326.01 326.67 325.96 325.13 322.90 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'George Udny Yule' @ 72.249.76.132


Structural Time Series Model
tObservedLevelSlopeSeasonalStand. Residuals
1315.42315.42000
2316.32316.0122414480.02304691525820570.3077585519999551.2175690188354
3316.49316.3824612551900.04283002937232850.1075387448095110.739530863347725
4317.56317.0247106352790.06681242076922540.5352893647210821.56942685002912
5318.13317.6885108497060.0800645206943940.4414891502942511.64921055135583
6318317.9696889292460.08275815271142820.03031107075357290.559069222508289
7316.39317.2220643550430.0737295526439487-0.832064355042961-2.30730370430968
8314.66315.7595782420950.0570250573058928-1.09957824209541-4.26398855364861
9313.68314.3869795280190.0408175486699784-0.706979528019345-3.96502129623574
10313.18313.4750351328810.0297716287002395-0.295035132881498-2.64156811529462
11314.66313.8644288735200.03394623548231850.7955711264795680.99700772272244
12315.43314.7261225169420.04346353550891090.7038774830584222.29491088071686
13316.27315.7921472123490.01672284619614610.4778527876513863.03696667656194
14316.81316.4675002505990.01504552761799260.3424997494007111.85500658546392
15317.42317.2921848961880.03081334674884680.1278151038123762.07792364769119
16318.87318.2172390105030.05279120051845830.6527609894974012.33520076829635
17319.87319.0493524364540.06862928903596070.820647563546022.11568019834398
18319.43319.1366437356530.0688984433058150.2933562643466220.051553200603723
19318.01318.5837130281150.062355485431052-0.573713028115297-1.72544317630767
20315.75317.2501115311420.0499476324564261-1.50011153114197-3.87599827816420
21314315.5604715369390.0351776290095864-1.56047153693863-4.82923003150741
22313.68314.585877829560.0271083043251983-0.905877829559708-2.80179378867154
23314.84314.3607280238440.02560032841158910.479271976155768-0.699262233590387
24316.03315.0406455482690.02661425351807450.9893544517307411.81655615394739
25316.73315.9667775266840.02360703870817300.7632224733155022.52456851631267
26317.54317.0447907772900.02534501917371570.4952092227095732.91726058527441
27318.38318.1955307340160.03714248126470270.1844692659842723.01707825811336
28319.31318.9058696163930.0476652813197010.404130383606731.79506849699312
29320.42319.3786951895280.05444032300289661.041304810472071.15164040043692
30319.61319.1902462486220.05114571921409520.419753751377536-0.667662913319717
31318.42318.5811032118910.0439935759348688-0.161103211890850-1.82819679731587
32316.64317.7414540035530.036229522081679-1.10145400355306-2.45259545421063
33314.83316.6682039701380.0281091947972429-1.83820397013818-3.08025182060525
34315.15316.1623522553630.0250063531172374-1.01235225536329-1.48128645155723
35315.95315.969609719480.0241771631852035-0.0196097194798508-0.60360423759484
36316.85316.2001611866610.02452580466682110.6498388133392940.572532323451797
37317.78317.0025819779610.02533850305464260.7774180220384892.15867395508759
38318.4317.9416477052370.02861362060915230.458352294763112.51408934708662
39319.53319.0175501239320.03689915563949230.5124498760674682.84206401447974
40320.41319.7935923583150.04527698797440950.6164076416847491.99582880458828
41320.85319.8357651511080.04523808891915771.01423484889192-0.00843640074650106
42320.45319.7008299098970.04311100633439750.749170090102862-0.494473069134882
43319.44319.3167061629370.03877999807582950.123293837063337-1.18062740928920
44317.25318.468410777770.0314153740279580-1.21841077777002-2.45905962557533
45316.12317.9254728731210.0276398410202959-1.80547287312115-1.59318569218862
46315.27317.0258581501790.0230787927758831-1.75585815017947-2.57078246266625
47316.53316.7812253054150.0221735613106559-0.251225305415315-0.741828887704175
48317.53317.0847988843490.02283807357258060.4452011156507270.77955478963377
49318.58317.8184845330460.02463560222773580.7615154669537661.96557939999797
50318.92318.5869721021890.02777026999825150.3330278978109872.04486230703206
51319.7319.2009884120060.03174502694656800.4990115879935921.59954161064957
52321.22319.9700387431330.03841884399951231.249961256867092.00506310633829
53322.08320.538640483010.04382571337123851.54135951698971.44622405305697
54321.31320.4565566559480.04255569188539680.853443344052243-0.345605771038222
55319.58319.6859375733150.0351773277542238-0.105937573314891-2.24429444868668
56317.61318.9268445699480.0291237166037316-1.31684456994794-2.19877680651322
57316.05318.0537728233700.0236523886722884-2.00377282336956-2.49986094751450
58315.83317.6670389592240.0217620752392064-1.83703895922420-1.13694350421023
59316.91317.5192343448050.0211768341298967-0.609234344805149-0.469572103110805
60318.2317.8694641012730.02212706576851040.3305358987272400.910555627546635
61319.41318.5621264119860.02426771491298530.8478735880136151.85160826120467
62320.07319.4737100621690.02816011798477600.5962899378307512.44012253999357
63320.74320.2325900063550.03260351034963870.5074099936452032.00024161289291
64321.4320.4311579240460.03387276662739960.9688420759542460.453328464214998
65322.06320.3893116253930.0332237444327751.67068837460711-0.207164604748943
66321.73320.3257552236480.03238571178919091.40424477635198-0.265857272290832
67320.27320.0547105869240.02995137386094000.215289413076401-0.836903680694526
68318.54319.6559479730230.0269802395983622-1.11594797302332-1.18552197248983
69316.54318.9643856858840.0229076525330628-2.42438568588412-1.98904754489994
70316.71318.6715017340180.0214910259618615-1.96150173401782-0.874240535048706
71317.53318.5537660906380.0209881511109296-1.02376609063797-0.385302695574235
72318.55318.6557539418470.0212515144070441-0.1057539418466590.223972798944126
73319.27318.8634849462870.02190952078623110.4065150537125410.514679069301426
74320.28319.487968631590.02455481108428240.7920313684098691.65817179871904
75320.73319.9760107338070.02713632578804070.753989266192841.27158678740007
76321.97320.5112128103510.03053180393868011.458787189649341.39189492014444
77322320.452714041920.02987368992319671.54728595808004-0.244141700350378
78321.71320.2452692477650.02808733151578351.46473075223463-0.652512268215964
79321.05320.3160292260770.02839081007417770.733970773922560.117671516265634
80318.71319.8934641263330.0255473201368503-1.18346412633331-1.24612518459002
81317.65319.8283476125510.0250642042000353-2.17834761255066-0.250783135926726
82317.14319.4659737336480.0233568845125064-2.32597373364821-1.07191683890365
83318.71319.5995853306220.0237693522169879-0.8895853306222410.304956722861262
84319.25319.636864546290.0238164180197661-0.3868645462900450.0373379915891197
85320.46320.0567333976720.02528127825868860.4032666023276661.09293929132265
86321.43320.5694114672160.02738803113204310.8605885327838831.34213423384977
87322.22321.1959078343120.03048280875532451.024092165688061.6463692911594
88323.54321.6769578168960.033173238983091.863042183104451.23696321489328
89323.91322.0171976154390.03517115521528491.89280238456140.843502630288994
90323.59322.0925530207990.03543788883019371.497446979200650.110582185413910
91322.26321.7136346926270.03280354619433820.546365307373354-1.14264050937829
92320.21321.4546402273160.0311210634636694-1.24464022731652-0.805981482971595
93318.48320.9670825220460.0285142240857446-2.48708252204604-1.43393575052625
94317.94320.6134292781140.0268633643514759-2.67342927811401-1.05681998946641
95319.63320.5850194827090.0266527058642225-0.955019482708817-0.152818006978769
96320.87321.0758291975790.0283307823442928-0.2058291975789611.28244022279403
97322.17321.6857146493630.03052344728136140.4842853506372281.60489885735197
98322.34321.8956663483490.03128095881446980.4443336516514270.494392005948668
99322.88322.058682680590.03191751207070060.8213173194098870.362461554459751
100324.25322.3172628857030.03314624223792181.932737114297450.623222343616858
101324.83322.620804866520.03472070093741092.209195133480250.743748924884358
102323.93322.4411623103260.03344844331884351.48883768967412-0.590345926757038
103322.39322.0059819765010.03075774919394740.384018023499329-1.29251708635576
104320.76321.7841364954220.0294171188410403-1.02413649542236-0.697572444237333
105319.1321.5870165560340.0283407092474442-2.48701655603401-0.62606293798303
106319.23321.7666031741820.0289782234410790-2.536603174181490.418099228196717
107320.56321.8669124579130.0292511279309972-1.306912457913430.197157469456825
108321.8322.125857257840.0300944640866238-0.3258572578399430.63453061069224
109322.4322.1437698462920.03004843356291720.256230153707976-0.0336218643918352
110322.99322.4068879682060.03100508673915690.5831120317943760.642538266325
111323.73322.7704910337060.03251803834829570.9595089662940550.915994024665749
112324.86322.9432711038460.03321680026627841.916728896154460.386102189768149
113325.41322.9933545818160.03330590328654472.416645418183950.0464406281384017
114325.19323.1984481257630.03422905174283441.991551874237350.473399339666095
115323.97323.344800762110.0348163279409110.6251992378901350.309316350650377
116321.92323.1508707472770.0336913533978908-1.23087074727729-0.631646195728065
117320.1322.9164426781520.0324843325467514-2.81644267815186-0.740827031705674
118319.96322.7365375658330.0316145205423377-2.77653756583253-0.586987756207146
119320.97322.5709615979380.0308658089214635-1.60096159793756-0.544930636284434
120322.48322.6995455170610.0312247593948521-0.2195455170607850.269929835448563
121323.52323.0944292835850.03258651507205290.4255707164149871.00385189454574
122323.89323.3669956559110.03354144982924390.5230043440889290.661892326742239
123325.04323.7985409479120.03525426533180281.241459052088131.09694261317269
124326.01324.0387713171180.03620180425753211.971228682882120.56473895284165
125326.67324.2325862073010.03696587128004852.437413792698630.434317222587021
126325.96324.1456510098070.0363563464653051.81434899019264-0.341623406450465
127325.13324.2219907322220.03654916115571050.9080092677783090.110330015577557
128322.9324.1122487521540.0358782701767272-1.21224875215429-0.403967478647474
129321.61324.1888415350490.0360522857860342-2.578841535048560.112484685374851
130321.01323.9983541290000.0351538165277881-2.98835412899963-0.626011752292963
131322.08323.901264365360.0346596755261856-1.82126436536011-0.365415595451387
132323.37323.8812469011710.0344608239450705-0.511246901170601-0.151036499825537
133324.34324.0138116019990.03482208639402910.3261883980008530.270854510325520
134325.3324.5316679094040.03668209512836540.7683320905957671.33278744204419
135326.29324.9329199741710.03817225686598381.357080025829031.00539097975576
136327.54325.3334255997580.03973860292077662.206574400241540.998967772215403
137327.54325.2666861172880.03926041439721142.27331388271244-0.293596160231
138327.21325.3228278345810.03933716411692171.887172165418870.0465670936779514
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140324.42325.3736477066280.0391900803861658-0.9536477066280680.407270241123117
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142322.9325.6174454378390.0398218032859288-2.717445437839250.485125350282894
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144324.96325.7059893231920.0398567898136244-0.7459893231923-0.105044966523147
145326.01325.876260102670.040326547628070.1337398973300160.360122487248270
146326.51325.9779795861790.04055505569862850.5320204138210560.169452372684276
147327.01325.9341687046720.04022647243331381.07583129532826-0.232771258020799
148327.62325.6666586521570.03897448032398341.95334134784329-0.848906227571598
149328.76326.0183044179330.04028567133664792.741695582066880.862582208002419
150328.4326.2960353065550.04129143594725992.103964693445260.655250296142509
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154323.4326.1029867580560.0399331415271645-2.70298675805584-0.158479823020500
155324.64326.3065001788280.0405156589816415-1.666500178828240.451994400330082
156325.85326.5251787036310.0411383628518702-0.6751787036310490.492202801795854
157326.6326.5460534358150.04106722887246540.0539465641849269-0.0559652190224957
158327.47326.7075994802480.04150040451765550.762400519751570.332633772929008
159327.58326.6137077197940.04099660110738010.966292280205785-0.373703083417736
160329.56327.1850033340060.04303765445489262.374996665993801.46350340403627
161329.9327.3437645929910.04349380462343022.556235407008730.319386633321239
162328.92327.1400749734440.042511641857131.77992502655581-0.682353208280061
163327.89327.0661992857910.04205365503721680.823800714208599-0.321389578550975
164326.17327.0974439261950.0420121881727972-0.927443926194757-0.0298572266891466
165324.68327.3630152083240.0428398773792792-2.683015208323860.617676625057337
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167326.34327.9283127757150.0445228749347753-1.588312775714880.626093707557924
168327.39328.0555370297680.0448045270676355-0.665537029767940.228496305095853
169328.37328.2457001194980.04530057300622880.1242998805015950.401526080338325
170329.4328.495516217280.04601069939855190.9044837827201230.564796668620626
171330.14329.0055468947410.04766411459446091.134453105259201.28118661300176
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174331.9329.7505115670680.04990946231342892.149488432931890.972087677810044
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176329.15330.1206695684320.0509019495602185-0.9706695684318930.42481689131324
177327.34330.2118914434320.0510447980557649-2.871891443432330.111410001142415
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182330.55329.6436590021280.04831517395598970.9063409978721670.507886914259282
183331.32329.9956285213550.04935331815347941.324371478645150.83864063430187
184332.48330.2725082503870.05014676045580822.207491749613440.628340756363374
185332.92330.287982693750.05002410696778572.63201730625024-0.0957540715946334
186332.08330.1813268135950.04946722238339981.89867318640536-0.43275216389767
187331.02330.2427090840880.04950930324564260.7772909159121330.0329152833842637
188329.24330.2363292471340.0493151116824544-0.996329247133886-0.154421961192982
189327.28330.1256251915020.0487716349285481-2.84562519150169-0.442199388477408
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380352.68353.8852704013360.0782955193947925-1.205270401336150.211459514650935
381350.72353.9990934155870.0783682838725348-3.279093415586540.0983173333102623
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383352.55354.4304281301570.0789279973811664-1.880428130156700.625706723230739
384353.91354.7426988985310.0794025001782659-0.8326988985307440.645754147222171
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/1qgrn1293634662.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/1qgrn1293634662.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/2qgrn1293634662.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/2qgrn1293634662.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/31qqq1293634662.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/31qqq1293634662.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/41qqq1293634662.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/41qqq1293634662.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/5thpt1293634662.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/29/t1293634778gv8qubmxnrq5hto/5thpt1293634662.ps (open in new window)


 
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')
 





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